Spectrum.net login
/r/Spectrum
2009.11.15 19:18 acr12000 /r/Spectrum
A forum for the discussion of Charter's Spectrum service. You can post for technical support, advice, or just to vent.
2009.06.11 04:19 doctorsound Minecraft on reddit
Minecraft community on reddit.
2009.06.12 17:39 puttputt Welcome to /r/esports!
An open environment for discussing everything esports, from industry news to game-by-game updates (in the context of why they are important to the general industry).
2023.05.16 03:14 kermitt411 403 forbidden error from cloudfront with fidelity
I am getting the 403 / forbidden error when I try to log into my account (select the login option from either the menu bar or button) at www.fidelity.com as well from Spectrum internet. I cleared cache, cookies, and data, and rebooted my machine. The error still occurs. Sometimes I have to perform an ipconfig /reease then /renew in order to temporarily clear the error. I chatted with Spectrum. They have a bulletin out about the problem connecting to Fidelity but are telling customers it's not their problem and contact Fidelity.
It hasn't been working all day but it just worked now. I found the blocked request that's causing the 403 error though. The difference is this time it moved past the error while all other times it stopped. I don't know why this changed and not sure if this will be a recurring problem. However, it seems like there's a problem with the "strict-origin-when-cross-origin" referrer policy on CloudNet.
General:
Requested URL: https://dpservice.fidelity.com/ftgw/dpdirect/measurement/visitoridentification/v1?cas=true
Requested Method: Get
Status Code: 403
Referrer Policy: strict-origin-when-cross-origin
Response Headers:
Via: 1.1 08b438813942875da9668c55a7ea94c2.cloudfront.net (CloudFront)
x-amz-cf-id: OjbEu0zRWD0R0izJ9Q5BJmxhkOuNcl0h5LY6pxkwPMQUCm1mcRZIfQ==
x-amz-pop: TPA52-P2
x-cache: Error from cloudfront
submitted by kermitt411 to fidelityinvestments [link] [comments]
It hasn't been working all day but it just worked now. I found the blocked request that's causing the 403 error though. The difference is this time it moved past the error while all other times it stopped. I don't know why this changed and not sure if this will be a recurring problem. However, it seems like there's a problem with the "strict-origin-when-cross-origin" referrer policy on CloudNet.
General:
Requested URL: https://dpservice.fidelity.com/ftgw/dpdirect/measurement/visitoridentification/v1?cas=true
Requested Method: Get
Status Code: 403
Referrer Policy: strict-origin-when-cross-origin
Response Headers:
Via: 1.1 08b438813942875da9668c55a7ea94c2.cloudfront.net (CloudFront)
x-amz-cf-id: OjbEu0zRWD0R0izJ9Q5BJmxhkOuNcl0h5LY6pxkwPMQUCm1mcRZIfQ==
x-amz-pop: TPA52-P2
x-cache: Error from cloudfront
2023.05.03 02:20 Faithhal How to Stream Live TV on Your Devices
You can now watch shows wherever you go. If you want to watch live television, you no longer have to sit in front of the TV in your living room. Obviously, it's great fun to watch with family and friends and share the laughs, cliffhangers, and heartbreaks, but sometimes that's not possible. You'll want to watch the news, like when you're at work and a breaking news alert pops up. Or on the other hand you're an extended get-away and need to stay up with the latest with your #1 show, so online spoilers don't spill the succulent subtleties.
Adding an App is Simple
Each link supplier or web-based feature is unique, yet the initial step is typically downloading an application. Let's take, for instance, Spectrum customers as an example. The Spectrum TV App is included for free with every Spectrum TV® plan. The app for each device can be downloaded from the Apple App Store, Google Play Store, or Roku Channel Store. The application is viable with most cell phones, tablets and a large group of streaming gadgets.
Spectrum TV and On Demand: Streaming in Browser If you're a Spectrum customer and want to learn how to stream live TV on your computer, it's easy. In the first place, visit watch spectrum and sign in with your login qualifications to in a split second beginning watching. To view the program guide, select the show you want to watch by scrolling through it by clicking "Guide." To begin watching, click "Watch Live." When you are connected to your Spectrum Internet®, you will have access to a greater number of channels; however, there are still a lot of options for what you can watch when you are not at home.
You can watch thousands of On Demand options in addition to live television from any location with Internet access.
For more>> https://online-television.net/es/
submitted by Faithhal to u/Faithhal [link] [comments]
Adding an App is Simple
Each link supplier or web-based feature is unique, yet the initial step is typically downloading an application. Let's take, for instance, Spectrum customers as an example. The Spectrum TV App is included for free with every Spectrum TV® plan. The app for each device can be downloaded from the Apple App Store, Google Play Store, or Roku Channel Store. The application is viable with most cell phones, tablets and a large group of streaming gadgets.
Spectrum TV and On Demand: Streaming in Browser If you're a Spectrum customer and want to learn how to stream live TV on your computer, it's easy. In the first place, visit watch spectrum and sign in with your login qualifications to in a split second beginning watching. To view the program guide, select the show you want to watch by scrolling through it by clicking "Guide." To begin watching, click "Watch Live." When you are connected to your Spectrum Internet®, you will have access to a greater number of channels; however, there are still a lot of options for what you can watch when you are not at home.
You can watch thousands of On Demand options in addition to live television from any location with Internet access.
For more>> https://online-television.net/es/
2023.04.28 01:51 ResearchingQuietly Portable 5G Hotspot Guide
 | Prerequisites submitted by ResearchingQuietly to homelab [link] [comments]
make sure you know your home router's ip gateway address, it could be 192.168.1.x, 10.0.0.x, etc
AT+QNWPREFCFG=“nr5g_disable_mode”,1what this does is disable 5G NR SA mode, but will keep 5G NR NSA mode enabled. For Verizon this is needed as it is not capable of reading 5GNR SA mode at the moment AT+EGMR=1,7,”your_tablet_or_phone_imei”what this does is spoof the RM502Q-AE module to be seen as your tablet or phone IMEI AT+QCFG="usbnet",2what this will do is enter the modem module in MBIM mode. Essentially there are two different modes, QMI (a protocol created by qualcomm, closed-source), and MBIM (open-sourced). I could only get this to work in MBIM mode when having goldenorb installed. you can learn more about it here if interested AT+CFUN=1,1what this does is reboot the modem module. let it reboot. once rebooted power off the device
AT+CGDCONT?https://preview.redd.it/86qxhmbbdiwa1.png?width=814&format=png&auto=webp&s=7a2a0220cde9d496c6b24e6702758fd870cabee9 what this does is list all the APN values for your carrier. For T-Mobile, look for something like fast.t-mobile.com. On verizon its vzwinternet. Whatever numerical value it is under, make note of it. this step is required for the data to be seen as tablet/phone usage, and not hotspot usage
In order to get wifi to work, you will need to go under Network -> Wireless and edit Mode: Master mode and under ‘network’ select ‘lan.’ Go ahead and enable the wireless interface. Please note that this was a bit finicky to get working, so you may need to power down everything, wait a few minutes, then turn the device back on for the wifi to start broadcasting. Test its working by going on your laptop/phone and seeing if the wireless access point is being broadcast this will allow you to enter the openwrt wenbui on wifi If for any reason you’re having issues with the modem, or you feel you messed up and need to start over, you can upgrade the firmware of the module itself. You can grab the install software and firmware files here. You can use the firmware update guide here. Use only the firmware update guide from the link, and ignore the rest of whats in that github so as not to confuse yourself during the installation process. Its recommended you update the firmware before starting the installation, but not required. Some folks are asking why this is even needed when there are already hotspot devices you can purchase from carriers. The issue is that those hotspots will only give you the hotspot package, which throttles your speeds to 600 kbps, which is practically unusable. By having your own hotspot device you can circumvent this and be on true unlimited data, albeit you will get deprioritized during times of congestion (for me its around 4-7PM) , but at least its actually true unlimited data. Additionally, you can add additional features like VPN and adblockers, etc. Lastly, this modem is great because it is compatible with all bands supported by all major carriers, including mid C-bands, which is considered Ultra Wideband. Actually carriers like Verizon cheats a bit and indicates 5G when in reality its just a higher wavelength spectrum LTE band from my understanding. Please note that this modem does not support 'mmwave' even though some of the marketing material around this module says it does. You can find out which bands are most popularly used in your area by going to cellmapper.net I also found this subreddit interesting. Its dedicated to showing pictures of installed cellular towers Please advise that this guide is meant for educational purposes. It is not recommended to use this as a means to replace your primary ISP and rack up tons of data usage (like 500GB in one month) that can result in your account being flagged for review and ultimately being banned from the carrier. Carriers like Verizon have started to implement 'deep packet inspection' and can find out if a particular line is being misused. Yes this can be a somewhat expensive project, (the modem itself is $290+) but aren't we here to learn about new projects and build stuff on our own? I am at least. There are custom-built all in one solutions you can purchase such as companies like Gl-inet. |
2023.04.23 17:48 ft420 D1 Baseball TV/Streaming for Sunday April 23 (St. George's Day)
| ET | CT | MT | PT | AWAY | vs | HOME | TV / STREAM |
|---|---|---|---|---|---|---|---|
| 11:00 AM | 10:00 AM | 9:00 AM | 8:00 AM | Illinois State | at | Bradley | ESPN+ |
| 11:00 AM | 10:00 AM | 9:00 AM | 8:00 AM | Virginia Tech | at | Florida State | ACCNX |
| 11:30 PM | 11:00 AM | 10:00 AM | 9:00 AM | Fordham | at | Richmond | ESPN+ |
| 12:00 PM | 11:00 AM | 10:00 AM | 9:00 AM | Harvard | at | Brown | ESPN+ |
| 12:00 PM | 11:00 AM | 10:00 AM | 9:00 AM | Quinnipiac | at | Canisius | ESPN+ |
| 12:00 PM | 11:00 AM | 10:00 AM | 9:00 AM | Tulane | at | Cincinnati | ESPN+ |
| 12:00 PM | 11:00 AM | 10:00 AM | 9:00 AM | Dartmouth | at | Columbia | ESPN+ |
| 12:00 PM | 11:00 AM | 10:00 AM | 9:00 AM | Niagara | at | Fairfield | Stags Sports Network |
| 12:00 PM | 11:00 AM | 10:00 AM | 9:00 AM | Jax State | at | FGCU | ESPN+ |
| 12:00 PM | 11:00 AM | 10:00 AM | 9:00 AM | Ohio | at | Indiana | B1G+ ($) |
| 12:00 PM | 11:00 AM | 10:00 AM | 9:00 AM | Hartford | at | Maine | ESPN+ |
| 12:00 PM | 11:00 AM | 10:00 AM | 9:00 AM | Purdue | at | Maryland | ESPNU |
| 12:00 PM | 11:00 AM | 10:00 AM | 9:00 AM | Army | at | Navy | CBS Sports Network |
| 12:00 PM | 11:00 AM | 10:00 AM | 9:00 AM | Boston College | at | North Carolina | ACCNX |
| 12:00 PM | 11:00 AM | 10:00 AM | 9:00 AM | Virginia | at | Notre Dame | ACCNX |
| 12:00 PM | 11:00 AM | 10:00 AM | 9:00 AM | Yale | at | Penn | ESPN+ |
| 12:00 PM | 11:00 AM | 10:00 AM | 9:00 AM | Butler | at | Seton Hall | FloBaseball ($) |
| 12:00 PM | 11:00 AM | 10:00 AM | 9:00 AM | Texas State | at | Troy | ESPN+ |
| 12:00 PM | 11:00 AM | 10:00 AM | 9:00 AM | Xavier | at | Villanova | FloBaseball ($) |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Central Michigan | at | Akron | ESPN3 |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Northern Illinois | at | Ball State | Ball State All-Access |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Coppin State | at | CCSU | NEC Front Row |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | UAB | at | Charlotte | ESPN+ |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Southern Miss | at | Coastal Carolina | ESPN+ |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Western Carolina | at | College of Charleston | FloBaseball ($) |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Saint John's | at | Creighton | FloBaseball ($) |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Louisville | at | Duke | ACCNX |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Toledo | at | Eastern Michigan | Eagle All-Access |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Stony Brook | at | Elon | FloBaseball ($) |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Norfolk State | at | Fairleigh Dickinson | NEC Front Row |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Saint Bonaventure | at | George Mason | ESPN+ |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Austin Peay | at | Jacksonville | ESPN+ |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Louisiana | at | James Madison | ESPN+ |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Texas A&M | at | Kentucky | SECN+ |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | North Florida | at | Liberty | ESPN+ |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Merrimack | at | Long Island | NEC Front Row |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Marist | at | Manhattan | ESPN3 |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Georgia Tech | at | Miami | ACCNX |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Kent State | at | Miami OH | Youtube / Chatterbox Sports |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Michigan State | at | Michigan | B1G+ ($) |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Northern Kentucky | at | Milwaukee | ESPN+ |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | SEMO | at | Morehead State | ESPN+ |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Eastern Shore | at | Mount St. Mary's | Mount All Access |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Rice | at | MTSU | ESPN+ |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Evansville | at | Murray State | ESPN+ |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | William & Mary | at | North Carolina A&T | FloBaseball ($) |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Hofstra | at | Northeastern | FloBaseball ($) |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Ohio State | at | Penn State | B1G+ ($) |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Wake Forest | at | Pitt | ACCNX |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Gardner-Webb | at | Presbyterian | ESPN+ |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Radford | at | SC Upstate | ESPN+ |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Saint Thomas | at | South Dakota State | Jackrabbits All-Access ($) |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | UCF | at | South Florida | ESPN+ |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | UMass | at | St. Joseph's | ESPN+ |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Vanderbilt | at | Tennessee | ESPN2 |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | ETSU | at | The Citadel | ESPN+ |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Monmouth | at | Towson | FloBaseball ($) |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | UMass-Lowell | at | UMBC | AEC TV |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Delaware | at | UNC Wilmington | FloBaseball ($) |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Mercer | at | VMI | ESPN+ |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | TCU | at | West Virginia | ESPN+ / BIG XII NOW |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Bowling Green | at | Western Michigan | Bronco All-Access |
| 1:00 PM | 12:00 PM | 11:00 AM | 10:00 AM | Samford | at | Wofford | ESPN+ |
| 1:30 PM | 12:30 PM | 11:30 AM | 10:30 AM | Longwood | at | Charleston Southern | ESPN+ |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | New Mexico | at | Air Force | MTN WEST NET / AFA |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Bethune-Cookman | at | Alabama State | ASU TV / Playsight |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Old Dominion | at | Arkansas State | ESPN+ |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Mississippi State | at | Auburn | SECN+ |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | High Point | at | Campbell | ESPN+ |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Stetson | at | Central Arkansas | Bear Nation Network ($) |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | LA Tech | at | Dallas Baptist | Patriot BN |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Minnesota | at | Illinois | BIG TEN NETWORK |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Nebraska | at | Iowa | B1G+ ($) |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Oklahoma State | at | Kansas | ESPN+ / BIG XII NOW |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | TAMU-CC | at | Lamar | ESPN+ |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Bellarmine | at | Lipscomb | ESPN+ |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | SIU Edwardsville | at | Little Rock | ESPN+ |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | New Orleans | at | McNeese | ESPN+ |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Houston | at | Memphis | ESPN+ |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Alabama | at | Missouri | SECN+ |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Clemson | at | NC State | ACCNX |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Houston Christian | at | Nicholls | ESPN+ |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | EKU | at | North Alabama | ESPN+ |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Rutgers | at | Northwestern | B1G+ ($) |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Lindenwood | at | Omaha | Mavs All Access |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Alcorn | at | Prairie View | PVA&M stream |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Utah Valley | at | Sam Houston | WAC Digital (free w/login) |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Georgia State | at | South Alabama | ESPN+ |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Grambling | at | Southern | SU JSN ($) |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Eastern Illinois | at | Southern Indiana | ESPN+ |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | UT Arlington | at | Stephen F Austin | ESPN+ |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | New Mexico State | at | Tarleton | ESPN+ |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | UT Martin | at | Tennessee Tech | ESPN+ |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | UAPB | at | Texas Southern | Youtube / TSU |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Northern Colorado | at | Western Illinois | Leatherneck All Access |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | Florida Atlantic | at | Western Kentucky | HSSN FB live or BTM FB live |
| 2:00 PM | 1:00 PM | 12:00 PM | 11:00 AM | ECU | at | Wichita State | ESPN+ |
| 2:30 PM | 1:30 PM | 12:30 PM | 11:30 AM | LSU | at | Ole Miss | SECN+ |
| 3:00 PM | 2:00 PM | 1:00 PM | 12:00 PM | Oregon | at | California | PAC-12 OREGON |
| 3:00 PM | 2:00 PM | 1:00 PM | 12:00 PM | Utah Tech | at | Grand Canyon | ESPN+ |
| 3:00 PM | 2:00 PM | 1:00 PM | 12:00 PM | Southern Illinois | at | Indiana State | ESPNU |
| 3:00 PM | 2:00 PM | 1:00 PM | 12:00 PM | Army | at | Navy | ESPN+ |
| 3:00 PM | 2:00 PM | 1:00 PM | 12:00 PM | Incarnate Word | at | Northwestern State | ESPN+ |
| 3:00 PM | 2:00 PM | 1:00 PM | 12:00 PM | Sacramento State | at | Seattle | WAC Digital (free w/login) |
| 3:00 PM | 2:00 PM | 1:00 PM | 12:00 PM | Cal Baptist | at | UNLV | Youtube / UNLV |
| 3:30 PM | 2:30 PM | 1:30 PM | 12:30 PM | Oregon State | at | Arizona State | PAC-12 INSIDER |
| 4:00 PM | 3:00 PM | 2:00 PM | 1:00 PM | Utah | at | Arizona | PAC-12 Plus / AZ-3 |
| 4:00 PM | 3:00 PM | 2:00 PM | 1:00 PM | CS Bakersfield | at | CS Fullerton | ESPN+ |
| 4:00 PM | 3:00 PM | 2:00 PM | 1:00 PM | Cal Poly | at | CSUN | ESPN+ |
| 4:00 PM | 3:00 PM | 2:00 PM | 1:00 PM | San Jose State | at | Fresno State | MTN WEST NET / CSUF |
| 4:00 PM | 3:00 PM | 2:00 PM | 1:00 PM | Virginia | at | Notre Dame | ACCNX |
| 4:00 PM | 3:00 PM | 2:00 PM | 1:00 PM | Pepperdine | at | Pacific | WCC Network |
| 4:00 PM | 3:00 PM | 2:00 PM | 1:00 PM | Gonzaga | at | Portland | WCC Network |
| 4:00 PM | 3:00 PM | 2:00 PM | 1:00 PM | Loyola Marymount | at | Saint Mary's | WCC Network |
| 4:00 PM | 3:00 PM | 2:00 PM | 1:00 PM | San Francisco | at | San Diego | WCC Network |
| 4:00 PM | 3:00 PM | 2:00 PM | 1:00 PM | Washington | at | Stanford | PAC-12 Plus / STAN |
| 4:00 PM | 3:00 PM | 2:00 PM | 1:00 PM | Kansas State | at | UC Irvine | ESPN+ |
| 4:00 PM | 3:00 PM | 2:00 PM | 1:00 PM | UC Santa Barbara | at | UC San Diego | ESPN+ |
| 4:00 PM | 3:00 PM | 2:00 PM | 1:00 PM | Santa Clara | at | Washington State | PAC-12 Plus / WSU |
| 4:30 PM | 3:30 PM | 2:30 PM | 1:30 PM | Evansville | at | Murray State | ESPN+ |
| 4:30 PM | 3:30 PM | 2:30 PM | 1:30 PM | Saint Thomas | at | South Dakota State | Jackrabbits All-Access ($) |
| 7:00 PM | 6:00 PM | 5:00 PM | 4:00 PM | Long Beach | at | Hawai'i | ESPN+ / Spectrum Sports |
| 7:00 PM | 6:00 PM | 5:00 PM | 4:00 PM | UCLA | at | USC | PAC-12 NETWORKS |
2023.04.22 14:59 PlainsmanParkingLot D1 Baseball TV/Streaming for Saturday April 22
 | submitted by PlainsmanParkingLot to collegebaseball [link] [comments] https://preview.redd.it/98g32xepofva1.jpg?width=2791&format=pjpg&auto=webp&s=6e626da0ce65b4052983c8d84e3a47ff586c591d
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2023.04.21 14:50 PlainsmanParkingLot D1 Baseball TV/Streaming for Friday April 21
 | submitted by PlainsmanParkingLot to collegebaseball [link] [comments] https://preview.redd.it/9x494iz2i8va1.jpg?width=2791&format=pjpg&auto=webp&s=f2bbeced07a3fe21b4e56dc2bdd3ef16c5575678
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2023.04.06 16:18 PlainsmanParkingLot D1 Baseball TV/Streaming for Thursday April 6
 | submitted by PlainsmanParkingLot to collegebaseball [link] [comments] https://preview.redd.it/wbjb9a55w9sa1.jpg?width=2791&format=pjpg&auto=webp&s=1fb6c602780d64a628ad5567ee1d69733754f5ee
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2023.04.06 06:07 n9yty Help - Lost password, no longer active customer, support can not help
I am trying to help my mother-in-law out. She can't remember any passwords, and her computer crashed. I rebuilt it for her, but without her original password (she had the Mac set to auto-login so didn't know it) I can't unlock the keychain or find any other way to retrieve what her Comcast email password was.
She moved a few years ago into CharteSpectrum area, so no longer lives at the address where she had Comcast service. However, she never switched over to the Spectrum email address and had been continuing to use her Comcast.net email address.
I spent over an hour with her and Comcast support on the phone, but we kept going around in circles. Anything they try to verify they keep pulling up the address and are trying to verify her information against the information for the people who live there now. That isn't going to work. They keep saying to use the online password reset, which doesn't work on Spectrum (it says to log in to your home WiFi), but even if I try that at my house which is Comcast it gives me the same message when i try to reset her email address.
I think this is a brick wall ---
* She cannot remember her password
* She no longer lives at the address where she had service
* The old phone number she had (landline) has been disconnected
* She seemingly has no way to reset the password for this email account
Does anyone have any ideas that may help her out? I have found information on Comcast help pages that say you can keep using your account/email even after leaving Comcast, but nothing covers this use case or how she could reset the password. Perhaps the support agent just didn't know where to look to authenticate her against the previous account information, so maybe there is hope it can be fixed but right now it is feeling like a lost cause.
submitted by n9yty to Comcast_Xfinity [link] [comments]
She moved a few years ago into CharteSpectrum area, so no longer lives at the address where she had Comcast service. However, she never switched over to the Spectrum email address and had been continuing to use her Comcast.net email address.
I spent over an hour with her and Comcast support on the phone, but we kept going around in circles. Anything they try to verify they keep pulling up the address and are trying to verify her information against the information for the people who live there now. That isn't going to work. They keep saying to use the online password reset, which doesn't work on Spectrum (it says to log in to your home WiFi), but even if I try that at my house which is Comcast it gives me the same message when i try to reset her email address.
I think this is a brick wall ---
* She cannot remember her password
* She no longer lives at the address where she had service
* The old phone number she had (landline) has been disconnected
* She seemingly has no way to reset the password for this email account
Does anyone have any ideas that may help her out? I have found information on Comcast help pages that say you can keep using your account/email even after leaving Comcast, but nothing covers this use case or how she could reset the password. Perhaps the support agent just didn't know where to look to authenticate her against the previous account information, so maybe there is hope it can be fixed but right now it is feeling like a lost cause.
2023.03.29 11:05 arspawan Why Is Spectrum TV Login Not Working And How To Fix Them
Spectrum TV is a digital television service offered by Charter Communications, Inc. that allows users to access a broad selection of premium and basic-tier programming over an internet connection or cable television line. But some time spectrum tv login is not working it could be due to a range of issues. It could be related to your password not being entered correctly or the browser you're using not being compatible. This article looks at the various ways you can troubleshoot why your spectrum tv login may not be working and how to resolve this issue quickly and efficiently.
Check your internet connection
When your Spectrum TV login isn't working, the first thing you should do is make sure that your internet connection is working properly. You should also make sure that your modem and router are both working and connected to the internet. In addition, you may also want to do a speed test to be sure you have a fast enough internet connection for streaming videos. If you're dealing with a slow or unreliable connection, talk to your internet service provider for help. Additionally, try connecting to the internet wirelessly from an Ethernet cable to see if that resolves the issue.
Restart your modem and router
If you’re having trouble logging in to your Spectrum TV account, one of the steps to take is to restart your modem and router. This can help resolve any temporary connectivity issues that may be causing problems with your service. To restart your modem and router, follow these steps:
1. Unplug your modem and router from their power sources.
2. Wait for a full minute before plugging them back in.
3. Allow several minutes for them to establish a connection.
4. After they are reconnected, attempt to log in again.
This should resolve any minor connectivity issues and allow you to access your account. If this doesn't work, try some of the other troubleshooting steps listed in this article.
Check if your account is active
If your Spectrum TV login is not working, the first thing you should do is check if your account is still active. Depending on your service plan, you may have a billing cycle that has expired, in which case you need to pay your bill to reactivate the service. You can do this by logging into your Spectrum account and checking your current bill or by contacting customer support. Once you have verified that your account is still active, you can continue with troubleshooting the problem.
Update your browser
If your login issue is caused by an outdated browser, it can be the root of the problem. When your browser opens, click on the menu icon (usually a three-line symbol) and select 'About (browser name).' You should see a section for updates here if any are available.
Try logging into Spectrum TV again after downloading and installing the latest version of your browser from the website for your browser. Alternatively, you can contact customer service if you still have problems.
Check if you're using the right username and password
If you're having difficulty logging in to your Spectrum account, make sure that your username and password are correct. If you've changed them recently, be sure you've entered them correctly.
To regain access to Spectrum TV, click the Forgot Username/Password. button on the login page. Upon clicking, you must enter your cell phone number or your account number, and you will be sent an email with a link to reset your credentials. After that, try to log back in.
If you're still having difficulty logging in, try to identify whether you were blocked from your account for incorrectly typing the password too many times. If so, wait a few hours before attempting again. If you cannot log into your account after a while, contact customer service.
Check if you have the most recent version of the app
It’s important to make sure that you have the most up-to-date version of the Spectrum TV app before attempting to log in. To check the current version:
iOS: Go to App Store > Updates > Spectrum TV
Android: Go to Google Play Store > My apps & games > Installed > Spectrum TV
Once you're on the app's page, scroll down and check the version number. If it’s not the latest one, tap Update and try logging in again.
If the version is already up-to-date and you still can’t log in, you may have to take other troubleshooting steps.
Check if you've been locked out due to too many failed login attempts
You may have been locked out of your Spectrum TV account due to too many failed login attempts. If this is the case, you can unlock your account by following the steps below:
1. Check your email: if you've been locked out of your account due to too many failed login attempts, you should have received an email from Spectrum TV asking you to reset your password.
2. Reset your password: if you did receive an email from Spectrum TV, click on the link provided and follow the instructions to reset your password.
3. Wait 24 hours: after resetting your password, it can take up to 24 hours for the new password to take effect. Once 24 hours have passed, try logging in again with your new password.
By following these steps, you can check if you've been locked out of your Spectrum TV account due to too many failed login attempts and get it unlocked.
submitted by arspawan to u/arspawan [link] [comments]
Check your internet connection
When your Spectrum TV login isn't working, the first thing you should do is make sure that your internet connection is working properly. You should also make sure that your modem and router are both working and connected to the internet. In addition, you may also want to do a speed test to be sure you have a fast enough internet connection for streaming videos. If you're dealing with a slow or unreliable connection, talk to your internet service provider for help. Additionally, try connecting to the internet wirelessly from an Ethernet cable to see if that resolves the issue.
Restart your modem and router
If you’re having trouble logging in to your Spectrum TV account, one of the steps to take is to restart your modem and router. This can help resolve any temporary connectivity issues that may be causing problems with your service. To restart your modem and router, follow these steps:
1. Unplug your modem and router from their power sources.
2. Wait for a full minute before plugging them back in.
3. Allow several minutes for them to establish a connection.
4. After they are reconnected, attempt to log in again.
This should resolve any minor connectivity issues and allow you to access your account. If this doesn't work, try some of the other troubleshooting steps listed in this article.
Check if your account is active
If your Spectrum TV login is not working, the first thing you should do is check if your account is still active. Depending on your service plan, you may have a billing cycle that has expired, in which case you need to pay your bill to reactivate the service. You can do this by logging into your Spectrum account and checking your current bill or by contacting customer support. Once you have verified that your account is still active, you can continue with troubleshooting the problem.
Update your browser
If your login issue is caused by an outdated browser, it can be the root of the problem. When your browser opens, click on the menu icon (usually a three-line symbol) and select 'About (browser name).' You should see a section for updates here if any are available.
Try logging into Spectrum TV again after downloading and installing the latest version of your browser from the website for your browser. Alternatively, you can contact customer service if you still have problems.
Check if you're using the right username and password
If you're having difficulty logging in to your Spectrum account, make sure that your username and password are correct. If you've changed them recently, be sure you've entered them correctly.
To regain access to Spectrum TV, click the Forgot Username/Password. button on the login page. Upon clicking, you must enter your cell phone number or your account number, and you will be sent an email with a link to reset your credentials. After that, try to log back in.
If you're still having difficulty logging in, try to identify whether you were blocked from your account for incorrectly typing the password too many times. If so, wait a few hours before attempting again. If you cannot log into your account after a while, contact customer service.
Check if you have the most recent version of the app
It’s important to make sure that you have the most up-to-date version of the Spectrum TV app before attempting to log in. To check the current version:
iOS: Go to App Store > Updates > Spectrum TV
Android: Go to Google Play Store > My apps & games > Installed > Spectrum TV
Once you're on the app's page, scroll down and check the version number. If it’s not the latest one, tap Update and try logging in again.
If the version is already up-to-date and you still can’t log in, you may have to take other troubleshooting steps.
Check if you've been locked out due to too many failed login attempts
You may have been locked out of your Spectrum TV account due to too many failed login attempts. If this is the case, you can unlock your account by following the steps below:
1. Check your email: if you've been locked out of your account due to too many failed login attempts, you should have received an email from Spectrum TV asking you to reset your password.
2. Reset your password: if you did receive an email from Spectrum TV, click on the link provided and follow the instructions to reset your password.
3. Wait 24 hours: after resetting your password, it can take up to 24 hours for the new password to take effect. Once 24 hours have passed, try logging in again with your new password.
By following these steps, you can check if you've been locked out of your Spectrum TV account due to too many failed login attempts and get it unlocked.
2023.03.25 14:46 PlainsmanParkingLot D1 Baseball TV/Streaming for Saturday 3/25
 | submitted by PlainsmanParkingLot to collegebaseball [link] [comments] https://preview.redd.it/6z118rhh3wpa1.jpg?width=2791&format=pjpg&auto=webp&s=b38d6a59298a9b29be96f2cfeb5742195b94415a
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2023.03.24 15:00 PlainsmanParkingLot D1 Baseball TV/Streaming for Friday 3/24
 | submitted by PlainsmanParkingLot to collegebaseball [link] [comments] https://preview.redd.it/1zex7mt43ppa1.jpg?width=2791&format=pjpg&auto=webp&s=d2f7c1aee574acdfa94915b2d3fa8da37d606ccb
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2023.02.21 09:28 msrprojects Python- Machine Learning and Artificial Intelligence Projects-9581464142
Sl.No 2022 & 2023 Project Title Year
1 Toward Data Justice Understanding Police Shooting Data Systems and Narratives 2022
2 Forward Privacy Preservation in IoT-Enabled Healthcare Systems 2022
3 Trust But Verify: a framework for the trustworthiness of distributed systems 2022
4 Cybersecurity Awareness in Online Education: A Case Study Analysis 2022
5 Optimal Filter Assignment Policy Against Distributed Denial-of-Service Attack 2022
6 CloudRaid Detecting Distributed Concurrency Bugs via Log Mining and Enhancement 2022
7 A Taxonomy of Fake News Classification Techniques: Survey and Implementation Aspects 2022
8 Exploring E-Commerce Product Experience Based on Fusion Sentiment Analysis Method 2022
9 Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets Using Stacked Ensemble GCR-NN Model 2022
10 Graph Convolutional networks for drug response prediction 2022
11 Predicting drug-drug interactions based on integrated similarity and semi-supervised learning 2022
12 A Deep Attentive Multimodal Learning Approach for Disaster Identification From Social Media Posts 2022
13 Malicious URL Detection based on Machine Learning 2022
14 Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms 2022
15 Fraud Detection and Analysis for Insurance Claim using Machine Learning 2022
16 Probabilistic Inference and Trustworthiness Evaluation of Associative Links toward Malicious Attack Detection for Online Recommendations 2022
17 A Machine Learning-Based Classification and Prediction Technique for DDoS Attacks 2022
18 Predicting Employees under Stress for Pre-emptive Remediation using Machine learning Algorithm 2022
19 A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources 2022
20 Fake Profile Identification in Social Network using Machine Learning and NLP 2022
21 Child Mortality prediction using Machine Learning Techniques 2022
22 A Robust Approach for Effective Spam Detection Using Supervised Learning Techniques 2022
23 A Computer-Aided Inspection System to Predict Quality Characteristics in Food Technology 2022
24 GEFA: Early Fusion Approach in Drug-Target Affinity Prediction 2022
25 Adaptive Hierarchical Cyber Attack Detection and Localization in Active Distribution Systems 2022
26 Campus Placements Prediction & Analysis using Machine Learning 2022
27 Stroke Risk Prediction with Hybrid Deep Transfer Learning Framework 2022
28 DEA-RNN: A Hybrid Deep Learning Approach for Cyberbullying Detection in Twitter Social Media Platform 2022
29 Dark-TRACER Early Detection Framework for Malware Activity Based on Anomalous Spatiotemporal Patterns 2022
30 Predicting brain age using machine learning algorithms: A comprehensive evaluation 2022
31 Detecting and Mitigating the Dissemination of Fake News: Challenges and Future Research Opportunities 2022
32 HCovBi-Caps: Hate Speech Detection using Convolutional and Bi-Directional Gated Recurrent Unit with Capsule Network 2022
33 Electricity Theft Detection in Smart Grids Based on Deep Neural Network 2022
34 Sentiment Analysis of Customers' Reviews Using a Hybrid Evolutionary SVM-Based Approach in an Imbalanced Data Distribution 2022
35 Malware Detection: A Framework for Reverse Engineered Android Applications through Machine Learning Algorithms 2022
36 Machine learning for fast and reliable source-location estimation in earthquake early warning 2022
37 Modeling, Detecting, and Mitigating Threats Against Industrial Healthcare Systems: A Combined Software Defined Networking and Reinforcement Learning Approach 2022
38 Phishing URL Detection: A Real-Case Scenario Through Login URLs 2022
39 Machine Learning-Based Analysis of Crypto Currency Market Financial Risk Management 2022
40 Privacy-Preserving Federated Depression Detection from Multi-Source Mobile Health Data 2022
41 Deep fake Detection: A Systematic Literature Review 2022
42 Hear Smoking: Smoking Detection in Driving Environment via Acoustic Sensing on Smart phones 2022
43 Detect DUI: An In-Car Detection System for Drink Driving and BACs 2022
44 A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering 2022
45 Two-Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks 2022
46 Comparative Analysis of Liver diseases by using Machine Learning Techniques 2022
47 A Deep Learning-Based Approach for Inappropriate Content Detection and Classification of YouTube Videos 2022
48 Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning 2022
49 Water Net: A Network for Monitoring and Assessing Water Quality for Drinking and Irrigation Purposes 2022
50 Identifying Health Insurance Claim Frauds Using Mixture of Clinical Concepts 2022
51 Crop Prediction Based on Characteristics of the Agricultural Environment Using Various Feature Selection Techniques and Classifiers 2022
52 Foureye: Defensive Deception based on Hypergame Theory Against Advanced Persistent Threats 2022
53 A Hybrid Deep Learning Approach for Bottleneck Detection in IoT 2022
54 Social Spammer Detection via Convex Nonnegative Matrix Factorization 2022
55 PredicTour: Predicting Mobility Patterns of Tourists Based on Social Media User's Profiles 2022
56 Trustworthiness Assessment of Users in Social Reviewing Systems 2022
57 Block Hunter Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks 2022
58 SCA Sybil based Collusion Attacks of IIoT Data Poisoning in Federated Learning 2022
59 Composite Behavioral Modeling for Identity Theft Detection in Online Social Networks 2022
60 A Learning-Based POI Recommendation With Spatiotemporal Context Awareness 2022
61 Prediction Of Used Car Prices Using Artificial Neural Networks And Machine Learning 2022
62 Analysis on Benefits and Costs of Machine Learning-Based Early Hospitalization Prediction 2022
63 Artificial Intelligence Crime: An Overview of Malicious Use and Abuse of AI 2022
64 Detecting Cyber Attacks through Measurements: Learnings from a Cyber Range 2022
65 Discover Customers' Gender From Online Shopping Behavior 2022
66 Graph Convolutional Network-Based Model for Megacity Real Estate Valuation 2022
67 House Price Prediction using a Machine Learning Model: A Survey of Literature 2022
68 Research Trends, Challenges, and Emerging Topics in Digital Forensics: A Review of Reviews 2022
69 Security of Cyber-Physical Systems: Design of a Security Supervisor to Thwart Attacks 2022
70 Unsupervised Domain Adaptation for Crime Risk Prediction Across Cities 2022
71 A Comprehensive Survey on Computer Forensics: State-of-the-Art, Tools, Techniques, Challenges, and Future Directions 2022
72 Detecting Sybil Attacks using Proofs of Work and Location in VANETs 2022
73 The Social Media Break-Up Psycho-Behavioral Measures and Implications 2022
74 Social Media Popularity Prediction based on Multi-modal Self-Attention Mechanisms 2022
75 FADOHS: Framework for Detection and Integration of Unstructured Data of Hate Speech on Facebook Using Sentiment and Emotion Analysis 2022
76 Cross Platform Reputation Generation System Based on Aspect-Based Sentiment Analysis 2022
1 Intelligent Video Surveillance Using Deep Learning
2 A Deep Transfer Learning-based Edge Computing Method for Home Health Monitoring
3 A Hybrid Deep Learning Technique for Personality Trait Classification From Text
4 SSLA Based Traffic Sign and Lane Detection for Autonomous cars
5 A Time-Frequency Based Suspicious Activity Detection for Anti- Money Laundering
6 Optimization of the Hybrid Movie Recommendation System Based on Weighted Classification and User Collaborative Filtering Algorithm
7 Machine Learning and End-to-end Deep Learning for the Detection of Chronic Heart Failure from Heart Sounds
8 Detection and Isolation of Sensor Attacks for Autonomous Vehicles: Framework, Algorithms, and Validation
9 Movie Success Prediction Using Naïve Bayes, Logistic Regression and Support Vector Machine
10 Anomaly Detection and Attack Classification for Train Real-time Ethernet
11 Identifying Bone Tumor using X-Ray Images
12 Effective Use of Pattern Discovery for Detection of Fraudulent Patterns in Railway Reservation
13 Attention Consistent Network for Remote Sensing Scene Classification
14 Feature Extraction and Analysis of Natural Language Processing for Deep Learning English Language
15 Analysis and Detection of Autism Spectrum Disorder Using Machine Learning Techniques
16 Person Re-Identification With Reinforced Attribute Attention Selection
17 An Ensemble Learning-Based Data-Driven Method for Online State-of-Health Estimation of Lithium-Ion Batteries
18 Deep Learning of Facial Depth Maps for Obstructive Sleep Apnea Prediction
19 Radiographic Weld Defect Classification
20 Classification Of Fractured Bones Using Machine Learning
21 Detecting Malicious Twitter Bots Using Machine Learning
22 Location prediction on Twitter using machine learning Techniques
23 Deep Facial Diagnosis: Deep Transfer Learning From Face Recognition to Facial Diagnosis
24 An Automatic Advisor for Refactoring Software Clones Based on Machine Learning
25 Optimised stacked ensemble techniques in the prediction of cervical cancer using SMOTE and RFERF
26 Application and evaluation of a K-Medoids based shape clustering method for an articulated design space
27 Local Dynamic Neighborhood Based Outlier Detection Approach and its Framework for Large-Scale Datasets
28 Image Forgery Detection Based on Fusion of Lightweight Deep Learning Models
29 Integrating Stacked Sparse Auto-Encoder Into Matrix Factorization for Rating Prediction
30 An Efficient Gait Recognition Method for Known and Unknown Covariate Conditions
31 Inverse Cooking: Recipe Generation from Food Images
32 SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors
33 Prediction for Manufacturing Factors in a Steel Plate Rolling Smart Factory Using Data Clustering-Based Machine Learning
34 Explaining Deep Learning-Based Traffic Classification Using a Genetic Algorithm
35 A Data Analytics Approach to the Cybercrime Underground Economy
36 EfficientDet: Scalable and Efficient Object Detection
37 Geo Tracking of Waste and Triggering Alerts and Mapping Areas with High Waste Index
38 A Novel Method for Computationally Efficacious Linear and Polynomial Regression Analytics of Big Data in Medicine
39 Toward Detection and Attribution of Cyber-Attacks in IoT-enabled
Cyber-physical Systems
40 Transfer Learning for an Automated Detection System of Fractures in Patients with Maxillofacial Trauma
41 An Experimental Study for Software Quality Prediction with Machine Learning Methods
42 Cnn Based Speaker Recognition In Language And Text- Independent Small-Scale System
43 Hybrid Recommender System for Tourism Based on Big Data and AI: A Conceptual Framework
44 A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training
45 SyntheticNET: A 3GPP Compliant Simulator for AI Enabled 5G and Beyond
46 Automatic Grading of Programming Assignments: An Approach
Based on Formal Semantics
47 Fall Detection For Elderly People Using Machine Learning
48 Image Forensic for Digital Image Copy Move Forgery Detection
49 Automatic Lung Segmentation Using Control Feedback System: Morphology and Texture Paradigm
50 Hand Gesture Recognition and Voice Conversion for Deaf and Dumb
Msr-2100 Fake detector Effective Fake News Detection With Deep Diffusive Neural Network
Msr-2101 Stress Detection In It Professionals By Image Processing And Machine Learning
Msr-2102 Transfer Learning For Recognizing Face In Disguise
Msr-2103 Application Research Of Text Classification Based On Random Forest Algorithm
Msr-2104 Checking Security Properties Of Cloud Service Rest Apis
Msr-2105 Behaviour Analysis For Mentally Affected People
Msr-2106 Filtering Instagram Hashtags Through Crowdtagging And The Hits
Msr-2108 An Examination System Automation Using Natural Language Processing
Msr-2109 Applications Of Machine Learning In The Field Of Medical Care
Msr-2110 Interpretable Machine Learning In Healthcare Through Generalized Additive Model With Pairwise Interactions (Ga2m): Predicting Severe Retinopathy Of Prematurity*
Msr-2111 Analysis And Prediction Of Cardio Vascular Disease Using Machine Learning Classifiers
Msr-2112 Design Of Restaurant Billing System (E Bill Resto) By Applying Synchronization Of Data Billing In Branch Companies To Main Companies Based On Rest Api
Msr-2113 Building Search Engine Using Machine Learning Technique
Msr-2115 A Study Of Blockchain Technology In Farmer’s Portal
Msr-2116 Improving Lives Of Indebted Farmers Using Deep Learning
Msr-2117 Content Analysis Of Messages In Social Networks, Identification Of Suicidal Types
Msr-2119 Crop Yield Prediction Using Machine Learning Techniques
Msr-2120 Text Classification On Twitter Data
Msr-2121 Automated Machine Learning: The New Wave Of Machine Learning
Msr-2122 Predicting Covid-19 In China Using Hybrid Ai Model
Msr-2123 Scalable Analytics Platform For Machine Learning In Smart Production Systems
Msr-2124 An Application Of A Deep Learning Algorithm For Automatic Detection Of Unexpected Accidents Under Bad Cctv Monitoring Conditions In Tunnels
Msr-2126 End-To-End Conversion Speed Analysis Of An Fpt.Ai-Based Text-To-
Speech Application
Msr-2127 A Corona Recognition Method Based On Visible Light Color And Machine Learning
Msr-2128 Location Prediction On Twitter Using Machine Learning Techniques
Msr-2129 Machine Learning For Web Vulnerability Detection: The Case Of Cross-Site Request Forgery
Msr-2130 Artificial Intelligence And Covid-19 Deep Learning Approaches For
Diagnosis And Treatment
Msr-2131 Generating Cloud Monitors From Models To Secure Clouds
Msr-2132 Leveraging Cnn And Transfer Learning For Vision-Based Human Activity Recognition
Msr-2133 B5g And Explainable Deep Learning Assisted Healthcare Vertical At The Edge Covid-19 Perspective
Msr-2134 Cryptocurrency Price Analysis With Artificial Intelligence
Msr-2135 Image-Based leaf Disease Detetction A Comparison Of Deep Learning And Classical
Msr-2136 Predicting And Defining B2b Sales Success With Machine Learning
Msr-2137 Design And Implementation Of Domestic News Collection System Based On Python
Msr-2138 Data Analysis By Web Scraping Using Python
Msr-2139 A Lightweight Secure Data Sharing Scheme For Mobile Cloud Computing
Msr-2140 A Supervised Machine Learning Algorithm For Heart-Rate Detection Using Doppler Motion-Sensing Radar
Msr-2142 Attribute-Based Cloud Data Integrity Auditing For Secure Outsourced Storage
Msr-2143 Automatic Keyword And Sentence-Based Text Summarization For Software Bug Reports
Msr-2144 News Text Summarization Based On Multi-Feature And Fuzzy Logic
Msr-2145 Automated Machine Learning Approach For Smart Waste Management System
Msr-2146 Digital Vehicle – License, Insurance And Rc Book Tracing For Police
Msr-2149 Rescue Wings: Web Computing And Active Services Support For Disaster Rescue
Msr-2150 Traffic Sign Recognition By Combining Global And Local Features Based On Semi-Supervised Classification
Msr-2151 Video Behavior Profiling For Anomaly Detection
Msr-2152 Heart Disease Prediction Using Bio Inspired Algorithms
Msr-2153 Securing Data With Blockchain And Ai
Msr-2154 Intelligent Agent Based Job Search System In Web Environment
Msr-2155 Automatic Traffic Sign Detection And Recognition Using Segu-Net And A Modified Tversky Loss Function With L1- Constraint
Msr-2156 A Decision Tree Based Recommendation System For Tourists
Msr-2157 Blockchain E-Voting Done Right: Privacy And Transparency With Public Blockchain
Msr-2158 You Tube Spam Detection
Msr-2159 Car Popularity Prediction
Msr-2160 User Behavior Prediction Of Social Hotspots Based On Multi Message Interaction And Neural Network
Msr-2161 On The Personalization Of Classification Models For Human Activity Recognition
Msr-2162 Detection Of Malicious Social Bots Using Learning Automata With Url Features In Twitter Network
Msr-2163 Computer-Aided Diagnosis Of Chronic Kidney Disease In Developing Countries A Comparative Analysis Of Machine Learning Techniques
Msr-2164 Bird Classification Using Binary Relevance Approach With Random Forest
Msr-2165 Performance Analysis On Student Feedback Using Machine Learning Algorithms
Msr-2166 Academic Performance Prediction Based On Multisource, Multi Feature Behavioral Data
Msr-2167 Fingerprint based ATM system
Msr-2168 Machine Learning Based Suicide Ideation Prediction For Military Personnel
Msr-2169 A Lightweight Convolutional Neural Network For Real-Time Facial Expression Detection
Msr-2170 Diabetic Retinopathy Detection By Means Of Deep Learning
Msr-2171 Melanoma Detection Using Convolutional Neural Network
Msr-2173 Diabetes Disease Prediction Using Machine Learning Algorithms
Msr-2174 Crime Type And Occurrence Prediction Using Machine Learning Algorithm
Msr-2175 Image Caption Generator Using Cnn And Lstm
Msr-2177 Predicting Flight Delays With Error Calculation Using Machine Learned Classifiers
Msr-2178 Nse Stock Monitoring & Prediction Using Robotic Process Automation
Msr-2183 A Deep Learning Facial Expression Recognition Based Scoring System For Restaurants
Msr-2184 A Machine Learning Model For Average Fuelconsumption In HeavyVehicles
Msr-2185 Bird Species Identification Using Deep Learning
Msr-2186 Online Depression Detection Application
Msr-2187 Pregbot: A System Based On Ml And Nlp For Supporting Women And
Families During Pregnancy
Msr-2189 Weapon Detection Using Artificial Intelligence And Deep Learning For Security Applications
Msr-2190 Missing Child Identification System Using Deep Learning And Multiclass Svm
Msr-2191 Suspicious Activity Detection
Msr-2193 Movie Recommendation System Using Sentiment Analysis From Microblogging Data
Msr-2194 Deep Learning Applications In Medical Image Analysis
Msr-2195 Classifying Fake News Articles Using Natural Language Processing To Identify In-Article Attribution As A Supervised Learning Estimator
Msr-2196 Real Time Object Detection Using Yolo Algorithm
Msr-2197 Context Based Image Processing Using Machine Learning Approaches
Msr-2198 Detecting Spam Email With Machine Learning Optimized With Bio- Inspired Metaheuristic Algorithms
66 Blockchain Based Ecommerce online application
80 Water Quality Monitoring and Forecasting System
81 Road Traffic Vehicle Detection and Tracking using Deep Learning with Custom-Collected and Public Datasets
83 Iris Recognition Using Machine Learning Technique
84 Captcha Recognition Using CNN
85 Displaying Emoji Based Facial Expression
86 Eye Ball Cursor Movement Using Opencv
87 Lung Cancer Detection using Ensemble Algorithm
88 Machine Learning Methods for Attack Detection in the Smart Grid
89 Email Spam Detection Using Machine Learning Algorithms
90 Electricity Theft Detection In Power Grids With Deep Learning And Random Forests
91 Blockchain Based Certificate Validation
92 Skin Disease Detection And Classification Using Deep Learning Algorithms
93 Fingerprint Compression Based On Sparse Representation
95 Text And Image Plagiarism Detection
96 Honey Bee Image Classification Neural Networks
97 Hand Gesture Recognition using Convolution Neural Networks
99 Supermarket billing System using Webcam
100 Brain Tumour Image Segmentation Using Deep Networks
101 Sentiment Analysis of Movie Review Using Supervised Machine Learning Techniques
102 Student Intervention Detection Using Deep Learning Technique
103 Machine learning for email spam filtering: review, approaches and open research problems
104 Adaptive Safe Semi-Supervised Extreme Machine Learning
105 Vehicle Tracking And Speed Estimation From Traffic Videos
106 Helmet Detection And License Plate Recgnozation Using Cnn
107 Real Time Localized Air Quality Monitoring and Prediction Through Mobile and Fixed IoT Sensing Network
108 Network Intrusion Detection using Supervised Machine Learning Technique with Feature Selection
109 Forecasting Crude Oil Prices: a Deep Learning based Model
110 Video-Based Abnormal Driving Behaviour Detection via Deep Learning Fusions
111 Density Based Smart Traffic Control System UsingCanny Edge Detection Algorithm for CongregatingTraffic Information
113 A Decision Tree based Recommendation System for Tourists
114 Image Classification Using CNN (Convolution Neural Networks) Algorithm
115 How Data-Driven Entrepreneur Analyzes Imperfect Information for Business Opportunity Evaluation
116 Rainfall prediction using wavelet neural network analysis
117 Sliding Window Blockchain Architecture for Internet of Things
118 Efficient Local Secret Sharing for Distributed Blockchain Systems
119 Brain Stroke Prediction and Analysis of Machine Learning
120 ROAD LANE LINE DETECTION USING OPENCV
121 Sign to Speech Conversion using Machine Learning
122 Fake Product Review Monitoring And Removal For Genuine Online Product Reviews Using Opinion Mining
123 Emotion Based Music Recommendation System
124 Diabetic Retinopathy Identification Using Eye Fundus Images
125 Android Malware Detection Using Genetic Algorithm Based Optimized Feature Selection And Machine Learning
126 Construction Site Accident Analysis Using Text Mining And Natural Language Processing Techniques
127 Automating E-Government using AI
128 A Deep Learning Facial Expression Recognition Based Scoring
System For Restaurants
129 A Machine Learning Model for Average Fuel consumption in heavy vehicles
130 Recommender System With Artificial Intelligence For Fitness Assistance System
131 Lane Detection Of Curving Road For Structural High-Way With Straight-Curve Model On Vision
132 Diabetic Retinopathy Image Synthesis with Generative Adversarial Network
133 Efficient Mining of Frequent Patterns on Uncertain Graphs
134 Online Depression Detection Application
135 Machine Learning For Plant Leaf Disease Detection And Classification
136 Influences In Social Networks
137 Plagiarism Detection Process Using AI
138 Chatbot Application using Deep Learning Algorithm
139 Crime Prediction And Analysis Using Machine Learning
141 Predicting Student Performance with Deep Neural Networks
142 Robust Intelligent Malware Detection Using Deep Learning
143 Pothole Detection System using Convolution Neural Networks
144 Age and Gender Classification using Convolutional Neural Networks
145 Adaptive Safe Semi-Supervised Extreme Machine Learning
146 Opinion Dynamics-Based Group Recommender Systems
147 Spammer Detection and Fake User Identification on Social Networks
Python Special Project List 2022-2023
S.No Project Titles
1 Real Time Vehicle Detection and Counting Using ML
2 Online Tribal Product Selling Application
3 Human Eye Ball Cursor Movement Using Opencv
4 Online E-Assessment Using Image Processing In ∞Exams
5 A Real Time Vehicle Based Suspicious Activity Detection
6 Face Recognition using YOLO Python
7 Density Based Smart Traffic Control System
8 Online e-commerce Shopping Application
9 Online Andhra Pradesh Govt Job Portal
10 College Event Management System
11 Police FIR Management Application
12 During Covid-19 Situation Social Distance Detection Application
13 Web based online Vehicle Service Management Application
14 Online File Management Application
15 Medical Store Bill Management Application
16 Online Railway Reservation Application
17 Student Result Management Application
18 Online web site Sweet Shop Application
19 Leave management Application
20 Human activity recognition using python
21 An Emotion Based Music Player using python
22 Face Mask Detection Application
23 Data Analysis by Web Scraping Using Python
24 Real Time Object Detection Using Yolo
25 Library Management Application using Django
26 Face Recognition Based Attendance Application
27 Social Distancing Detection in Real Time With Al
28 Food Bank Management Application in Django Framework
29 Fire Detection using OpenCV
30 Online Food Order Application Using Django
31 Students Attendance Management Application
32 Railway Reservation Application
33 Student Result Management Application
34 Online Chat room Application
35 Medical Store Management Application
36 Combo Sanke and lader games using django
37 An Emotion Based Music Player using python
38 Distributed File Application
39 School Library Application
40 Employee Information Application
41 Blog News portal application
42 Car Rental Application
43 ecommerce Application with Order tracking
44 Laundry Shop Managament Application
45 File Management Application
46 Inventory Management Mystem
47 Grocery Point Of Sale Application
48 Django School Management Application
49 Chess Game in Web Application
50 Moving Object and Hand, Finger Counting Detection using Frame Differencing
51 Fingerprint based ATM system
52 Handwriting Alphabet and Number Recognition using Machine Learning
53 Brain Stroke Prediction and Analysis of Machine Learning
54 ROAD LANE LINE DETECTION USING OPENCV
55 Sign to Speech Conversion using Machine Learning
submitted by msrprojects to u/msrprojects [link] [comments]
1 Toward Data Justice Understanding Police Shooting Data Systems and Narratives 2022
2 Forward Privacy Preservation in IoT-Enabled Healthcare Systems 2022
3 Trust But Verify: a framework for the trustworthiness of distributed systems 2022
4 Cybersecurity Awareness in Online Education: A Case Study Analysis 2022
5 Optimal Filter Assignment Policy Against Distributed Denial-of-Service Attack 2022
6 CloudRaid Detecting Distributed Concurrency Bugs via Log Mining and Enhancement 2022
7 A Taxonomy of Fake News Classification Techniques: Survey and Implementation Aspects 2022
8 Exploring E-Commerce Product Experience Based on Fusion Sentiment Analysis Method 2022
9 Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets Using Stacked Ensemble GCR-NN Model 2022
10 Graph Convolutional networks for drug response prediction 2022
11 Predicting drug-drug interactions based on integrated similarity and semi-supervised learning 2022
12 A Deep Attentive Multimodal Learning Approach for Disaster Identification From Social Media Posts 2022
13 Malicious URL Detection based on Machine Learning 2022
14 Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms 2022
15 Fraud Detection and Analysis for Insurance Claim using Machine Learning 2022
16 Probabilistic Inference and Trustworthiness Evaluation of Associative Links toward Malicious Attack Detection for Online Recommendations 2022
17 A Machine Learning-Based Classification and Prediction Technique for DDoS Attacks 2022
18 Predicting Employees under Stress for Pre-emptive Remediation using Machine learning Algorithm 2022
19 A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources 2022
20 Fake Profile Identification in Social Network using Machine Learning and NLP 2022
21 Child Mortality prediction using Machine Learning Techniques 2022
22 A Robust Approach for Effective Spam Detection Using Supervised Learning Techniques 2022
23 A Computer-Aided Inspection System to Predict Quality Characteristics in Food Technology 2022
24 GEFA: Early Fusion Approach in Drug-Target Affinity Prediction 2022
25 Adaptive Hierarchical Cyber Attack Detection and Localization in Active Distribution Systems 2022
26 Campus Placements Prediction & Analysis using Machine Learning 2022
27 Stroke Risk Prediction with Hybrid Deep Transfer Learning Framework 2022
28 DEA-RNN: A Hybrid Deep Learning Approach for Cyberbullying Detection in Twitter Social Media Platform 2022
29 Dark-TRACER Early Detection Framework for Malware Activity Based on Anomalous Spatiotemporal Patterns 2022
30 Predicting brain age using machine learning algorithms: A comprehensive evaluation 2022
31 Detecting and Mitigating the Dissemination of Fake News: Challenges and Future Research Opportunities 2022
32 HCovBi-Caps: Hate Speech Detection using Convolutional and Bi-Directional Gated Recurrent Unit with Capsule Network 2022
33 Electricity Theft Detection in Smart Grids Based on Deep Neural Network 2022
34 Sentiment Analysis of Customers' Reviews Using a Hybrid Evolutionary SVM-Based Approach in an Imbalanced Data Distribution 2022
35 Malware Detection: A Framework for Reverse Engineered Android Applications through Machine Learning Algorithms 2022
36 Machine learning for fast and reliable source-location estimation in earthquake early warning 2022
37 Modeling, Detecting, and Mitigating Threats Against Industrial Healthcare Systems: A Combined Software Defined Networking and Reinforcement Learning Approach 2022
38 Phishing URL Detection: A Real-Case Scenario Through Login URLs 2022
39 Machine Learning-Based Analysis of Crypto Currency Market Financial Risk Management 2022
40 Privacy-Preserving Federated Depression Detection from Multi-Source Mobile Health Data 2022
41 Deep fake Detection: A Systematic Literature Review 2022
42 Hear Smoking: Smoking Detection in Driving Environment via Acoustic Sensing on Smart phones 2022
43 Detect DUI: An In-Car Detection System for Drink Driving and BACs 2022
44 A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering 2022
45 Two-Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks 2022
46 Comparative Analysis of Liver diseases by using Machine Learning Techniques 2022
47 A Deep Learning-Based Approach for Inappropriate Content Detection and Classification of YouTube Videos 2022
48 Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning 2022
49 Water Net: A Network for Monitoring and Assessing Water Quality for Drinking and Irrigation Purposes 2022
50 Identifying Health Insurance Claim Frauds Using Mixture of Clinical Concepts 2022
51 Crop Prediction Based on Characteristics of the Agricultural Environment Using Various Feature Selection Techniques and Classifiers 2022
52 Foureye: Defensive Deception based on Hypergame Theory Against Advanced Persistent Threats 2022
53 A Hybrid Deep Learning Approach for Bottleneck Detection in IoT 2022
54 Social Spammer Detection via Convex Nonnegative Matrix Factorization 2022
55 PredicTour: Predicting Mobility Patterns of Tourists Based on Social Media User's Profiles 2022
56 Trustworthiness Assessment of Users in Social Reviewing Systems 2022
57 Block Hunter Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks 2022
58 SCA Sybil based Collusion Attacks of IIoT Data Poisoning in Federated Learning 2022
59 Composite Behavioral Modeling for Identity Theft Detection in Online Social Networks 2022
60 A Learning-Based POI Recommendation With Spatiotemporal Context Awareness 2022
61 Prediction Of Used Car Prices Using Artificial Neural Networks And Machine Learning 2022
62 Analysis on Benefits and Costs of Machine Learning-Based Early Hospitalization Prediction 2022
63 Artificial Intelligence Crime: An Overview of Malicious Use and Abuse of AI 2022
64 Detecting Cyber Attacks through Measurements: Learnings from a Cyber Range 2022
65 Discover Customers' Gender From Online Shopping Behavior 2022
66 Graph Convolutional Network-Based Model for Megacity Real Estate Valuation 2022
67 House Price Prediction using a Machine Learning Model: A Survey of Literature 2022
68 Research Trends, Challenges, and Emerging Topics in Digital Forensics: A Review of Reviews 2022
69 Security of Cyber-Physical Systems: Design of a Security Supervisor to Thwart Attacks 2022
70 Unsupervised Domain Adaptation for Crime Risk Prediction Across Cities 2022
71 A Comprehensive Survey on Computer Forensics: State-of-the-Art, Tools, Techniques, Challenges, and Future Directions 2022
72 Detecting Sybil Attacks using Proofs of Work and Location in VANETs 2022
73 The Social Media Break-Up Psycho-Behavioral Measures and Implications 2022
74 Social Media Popularity Prediction based on Multi-modal Self-Attention Mechanisms 2022
75 FADOHS: Framework for Detection and Integration of Unstructured Data of Hate Speech on Facebook Using Sentiment and Emotion Analysis 2022
76 Cross Platform Reputation Generation System Based on Aspect-Based Sentiment Analysis 2022
1 Intelligent Video Surveillance Using Deep Learning
2 A Deep Transfer Learning-based Edge Computing Method for Home Health Monitoring
3 A Hybrid Deep Learning Technique for Personality Trait Classification From Text
4 SSLA Based Traffic Sign and Lane Detection for Autonomous cars
5 A Time-Frequency Based Suspicious Activity Detection for Anti- Money Laundering
6 Optimization of the Hybrid Movie Recommendation System Based on Weighted Classification and User Collaborative Filtering Algorithm
7 Machine Learning and End-to-end Deep Learning for the Detection of Chronic Heart Failure from Heart Sounds
8 Detection and Isolation of Sensor Attacks for Autonomous Vehicles: Framework, Algorithms, and Validation
9 Movie Success Prediction Using Naïve Bayes, Logistic Regression and Support Vector Machine
10 Anomaly Detection and Attack Classification for Train Real-time Ethernet
11 Identifying Bone Tumor using X-Ray Images
12 Effective Use of Pattern Discovery for Detection of Fraudulent Patterns in Railway Reservation
13 Attention Consistent Network for Remote Sensing Scene Classification
14 Feature Extraction and Analysis of Natural Language Processing for Deep Learning English Language
15 Analysis and Detection of Autism Spectrum Disorder Using Machine Learning Techniques
16 Person Re-Identification With Reinforced Attribute Attention Selection
17 An Ensemble Learning-Based Data-Driven Method for Online State-of-Health Estimation of Lithium-Ion Batteries
18 Deep Learning of Facial Depth Maps for Obstructive Sleep Apnea Prediction
19 Radiographic Weld Defect Classification
20 Classification Of Fractured Bones Using Machine Learning
21 Detecting Malicious Twitter Bots Using Machine Learning
22 Location prediction on Twitter using machine learning Techniques
23 Deep Facial Diagnosis: Deep Transfer Learning From Face Recognition to Facial Diagnosis
24 An Automatic Advisor for Refactoring Software Clones Based on Machine Learning
25 Optimised stacked ensemble techniques in the prediction of cervical cancer using SMOTE and RFERF
26 Application and evaluation of a K-Medoids based shape clustering method for an articulated design space
27 Local Dynamic Neighborhood Based Outlier Detection Approach and its Framework for Large-Scale Datasets
28 Image Forgery Detection Based on Fusion of Lightweight Deep Learning Models
29 Integrating Stacked Sparse Auto-Encoder Into Matrix Factorization for Rating Prediction
30 An Efficient Gait Recognition Method for Known and Unknown Covariate Conditions
31 Inverse Cooking: Recipe Generation from Food Images
32 SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors
33 Prediction for Manufacturing Factors in a Steel Plate Rolling Smart Factory Using Data Clustering-Based Machine Learning
34 Explaining Deep Learning-Based Traffic Classification Using a Genetic Algorithm
35 A Data Analytics Approach to the Cybercrime Underground Economy
36 EfficientDet: Scalable and Efficient Object Detection
37 Geo Tracking of Waste and Triggering Alerts and Mapping Areas with High Waste Index
38 A Novel Method for Computationally Efficacious Linear and Polynomial Regression Analytics of Big Data in Medicine
39 Toward Detection and Attribution of Cyber-Attacks in IoT-enabled
Cyber-physical Systems
40 Transfer Learning for an Automated Detection System of Fractures in Patients with Maxillofacial Trauma
41 An Experimental Study for Software Quality Prediction with Machine Learning Methods
42 Cnn Based Speaker Recognition In Language And Text- Independent Small-Scale System
43 Hybrid Recommender System for Tourism Based on Big Data and AI: A Conceptual Framework
44 A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training
45 SyntheticNET: A 3GPP Compliant Simulator for AI Enabled 5G and Beyond
46 Automatic Grading of Programming Assignments: An Approach
Based on Formal Semantics
47 Fall Detection For Elderly People Using Machine Learning
48 Image Forensic for Digital Image Copy Move Forgery Detection
49 Automatic Lung Segmentation Using Control Feedback System: Morphology and Texture Paradigm
50 Hand Gesture Recognition and Voice Conversion for Deaf and Dumb
Msr-2100 Fake detector Effective Fake News Detection With Deep Diffusive Neural Network
Msr-2101 Stress Detection In It Professionals By Image Processing And Machine Learning
Msr-2102 Transfer Learning For Recognizing Face In Disguise
Msr-2103 Application Research Of Text Classification Based On Random Forest Algorithm
Msr-2104 Checking Security Properties Of Cloud Service Rest Apis
Msr-2105 Behaviour Analysis For Mentally Affected People
Msr-2106 Filtering Instagram Hashtags Through Crowdtagging And The Hits
Msr-2108 An Examination System Automation Using Natural Language Processing
Msr-2109 Applications Of Machine Learning In The Field Of Medical Care
Msr-2110 Interpretable Machine Learning In Healthcare Through Generalized Additive Model With Pairwise Interactions (Ga2m): Predicting Severe Retinopathy Of Prematurity*
Msr-2111 Analysis And Prediction Of Cardio Vascular Disease Using Machine Learning Classifiers
Msr-2112 Design Of Restaurant Billing System (E Bill Resto) By Applying Synchronization Of Data Billing In Branch Companies To Main Companies Based On Rest Api
Msr-2113 Building Search Engine Using Machine Learning Technique
Msr-2115 A Study Of Blockchain Technology In Farmer’s Portal
Msr-2116 Improving Lives Of Indebted Farmers Using Deep Learning
Msr-2117 Content Analysis Of Messages In Social Networks, Identification Of Suicidal Types
Msr-2119 Crop Yield Prediction Using Machine Learning Techniques
Msr-2120 Text Classification On Twitter Data
Msr-2121 Automated Machine Learning: The New Wave Of Machine Learning
Msr-2122 Predicting Covid-19 In China Using Hybrid Ai Model
Msr-2123 Scalable Analytics Platform For Machine Learning In Smart Production Systems
Msr-2124 An Application Of A Deep Learning Algorithm For Automatic Detection Of Unexpected Accidents Under Bad Cctv Monitoring Conditions In Tunnels
Msr-2126 End-To-End Conversion Speed Analysis Of An Fpt.Ai-Based Text-To-
Speech Application
Msr-2127 A Corona Recognition Method Based On Visible Light Color And Machine Learning
Msr-2128 Location Prediction On Twitter Using Machine Learning Techniques
Msr-2129 Machine Learning For Web Vulnerability Detection: The Case Of Cross-Site Request Forgery
Msr-2130 Artificial Intelligence And Covid-19 Deep Learning Approaches For
Diagnosis And Treatment
Msr-2131 Generating Cloud Monitors From Models To Secure Clouds
Msr-2132 Leveraging Cnn And Transfer Learning For Vision-Based Human Activity Recognition
Msr-2133 B5g And Explainable Deep Learning Assisted Healthcare Vertical At The Edge Covid-19 Perspective
Msr-2134 Cryptocurrency Price Analysis With Artificial Intelligence
Msr-2135 Image-Based leaf Disease Detetction A Comparison Of Deep Learning And Classical
Msr-2136 Predicting And Defining B2b Sales Success With Machine Learning
Msr-2137 Design And Implementation Of Domestic News Collection System Based On Python
Msr-2138 Data Analysis By Web Scraping Using Python
Msr-2139 A Lightweight Secure Data Sharing Scheme For Mobile Cloud Computing
Msr-2140 A Supervised Machine Learning Algorithm For Heart-Rate Detection Using Doppler Motion-Sensing Radar
Msr-2142 Attribute-Based Cloud Data Integrity Auditing For Secure Outsourced Storage
Msr-2143 Automatic Keyword And Sentence-Based Text Summarization For Software Bug Reports
Msr-2144 News Text Summarization Based On Multi-Feature And Fuzzy Logic
Msr-2145 Automated Machine Learning Approach For Smart Waste Management System
Msr-2146 Digital Vehicle – License, Insurance And Rc Book Tracing For Police
Msr-2149 Rescue Wings: Web Computing And Active Services Support For Disaster Rescue
Msr-2150 Traffic Sign Recognition By Combining Global And Local Features Based On Semi-Supervised Classification
Msr-2151 Video Behavior Profiling For Anomaly Detection
Msr-2152 Heart Disease Prediction Using Bio Inspired Algorithms
Msr-2153 Securing Data With Blockchain And Ai
Msr-2154 Intelligent Agent Based Job Search System In Web Environment
Msr-2155 Automatic Traffic Sign Detection And Recognition Using Segu-Net And A Modified Tversky Loss Function With L1- Constraint
Msr-2156 A Decision Tree Based Recommendation System For Tourists
Msr-2157 Blockchain E-Voting Done Right: Privacy And Transparency With Public Blockchain
Msr-2158 You Tube Spam Detection
Msr-2159 Car Popularity Prediction
Msr-2160 User Behavior Prediction Of Social Hotspots Based On Multi Message Interaction And Neural Network
Msr-2161 On The Personalization Of Classification Models For Human Activity Recognition
Msr-2162 Detection Of Malicious Social Bots Using Learning Automata With Url Features In Twitter Network
Msr-2163 Computer-Aided Diagnosis Of Chronic Kidney Disease In Developing Countries A Comparative Analysis Of Machine Learning Techniques
Msr-2164 Bird Classification Using Binary Relevance Approach With Random Forest
Msr-2165 Performance Analysis On Student Feedback Using Machine Learning Algorithms
Msr-2166 Academic Performance Prediction Based On Multisource, Multi Feature Behavioral Data
Msr-2167 Fingerprint based ATM system
Msr-2168 Machine Learning Based Suicide Ideation Prediction For Military Personnel
Msr-2169 A Lightweight Convolutional Neural Network For Real-Time Facial Expression Detection
Msr-2170 Diabetic Retinopathy Detection By Means Of Deep Learning
Msr-2171 Melanoma Detection Using Convolutional Neural Network
Msr-2173 Diabetes Disease Prediction Using Machine Learning Algorithms
Msr-2174 Crime Type And Occurrence Prediction Using Machine Learning Algorithm
Msr-2175 Image Caption Generator Using Cnn And Lstm
Msr-2177 Predicting Flight Delays With Error Calculation Using Machine Learned Classifiers
Msr-2178 Nse Stock Monitoring & Prediction Using Robotic Process Automation
Msr-2183 A Deep Learning Facial Expression Recognition Based Scoring System For Restaurants
Msr-2184 A Machine Learning Model For Average Fuelconsumption In HeavyVehicles
Msr-2185 Bird Species Identification Using Deep Learning
Msr-2186 Online Depression Detection Application
Msr-2187 Pregbot: A System Based On Ml And Nlp For Supporting Women And
Families During Pregnancy
Msr-2189 Weapon Detection Using Artificial Intelligence And Deep Learning For Security Applications
Msr-2190 Missing Child Identification System Using Deep Learning And Multiclass Svm
Msr-2191 Suspicious Activity Detection
Msr-2193 Movie Recommendation System Using Sentiment Analysis From Microblogging Data
Msr-2194 Deep Learning Applications In Medical Image Analysis
Msr-2195 Classifying Fake News Articles Using Natural Language Processing To Identify In-Article Attribution As A Supervised Learning Estimator
Msr-2196 Real Time Object Detection Using Yolo Algorithm
Msr-2197 Context Based Image Processing Using Machine Learning Approaches
Msr-2198 Detecting Spam Email With Machine Learning Optimized With Bio- Inspired Metaheuristic Algorithms
66 Blockchain Based Ecommerce online application
80 Water Quality Monitoring and Forecasting System
81 Road Traffic Vehicle Detection and Tracking using Deep Learning with Custom-Collected and Public Datasets
83 Iris Recognition Using Machine Learning Technique
84 Captcha Recognition Using CNN
85 Displaying Emoji Based Facial Expression
86 Eye Ball Cursor Movement Using Opencv
87 Lung Cancer Detection using Ensemble Algorithm
88 Machine Learning Methods for Attack Detection in the Smart Grid
89 Email Spam Detection Using Machine Learning Algorithms
90 Electricity Theft Detection In Power Grids With Deep Learning And Random Forests
91 Blockchain Based Certificate Validation
92 Skin Disease Detection And Classification Using Deep Learning Algorithms
93 Fingerprint Compression Based On Sparse Representation
95 Text And Image Plagiarism Detection
96 Honey Bee Image Classification Neural Networks
97 Hand Gesture Recognition using Convolution Neural Networks
99 Supermarket billing System using Webcam
100 Brain Tumour Image Segmentation Using Deep Networks
101 Sentiment Analysis of Movie Review Using Supervised Machine Learning Techniques
102 Student Intervention Detection Using Deep Learning Technique
103 Machine learning for email spam filtering: review, approaches and open research problems
104 Adaptive Safe Semi-Supervised Extreme Machine Learning
105 Vehicle Tracking And Speed Estimation From Traffic Videos
106 Helmet Detection And License Plate Recgnozation Using Cnn
107 Real Time Localized Air Quality Monitoring and Prediction Through Mobile and Fixed IoT Sensing Network
108 Network Intrusion Detection using Supervised Machine Learning Technique with Feature Selection
109 Forecasting Crude Oil Prices: a Deep Learning based Model
110 Video-Based Abnormal Driving Behaviour Detection via Deep Learning Fusions
111 Density Based Smart Traffic Control System UsingCanny Edge Detection Algorithm for CongregatingTraffic Information
Feature extraction for classifying students based on their academic performance112 E-Assessment Using Image Processing In Exams
113 A Decision Tree based Recommendation System for Tourists
114 Image Classification Using CNN (Convolution Neural Networks) Algorithm
115 How Data-Driven Entrepreneur Analyzes Imperfect Information for Business Opportunity Evaluation
116 Rainfall prediction using wavelet neural network analysis
117 Sliding Window Blockchain Architecture for Internet of Things
118 Efficient Local Secret Sharing for Distributed Blockchain Systems
119 Brain Stroke Prediction and Analysis of Machine Learning
120 ROAD LANE LINE DETECTION USING OPENCV
121 Sign to Speech Conversion using Machine Learning
122 Fake Product Review Monitoring And Removal For Genuine Online Product Reviews Using Opinion Mining
123 Emotion Based Music Recommendation System
124 Diabetic Retinopathy Identification Using Eye Fundus Images
125 Android Malware Detection Using Genetic Algorithm Based Optimized Feature Selection And Machine Learning
126 Construction Site Accident Analysis Using Text Mining And Natural Language Processing Techniques
127 Automating E-Government using AI
128 A Deep Learning Facial Expression Recognition Based Scoring
System For Restaurants
129 A Machine Learning Model for Average Fuel consumption in heavy vehicles
130 Recommender System With Artificial Intelligence For Fitness Assistance System
131 Lane Detection Of Curving Road For Structural High-Way With Straight-Curve Model On Vision
132 Diabetic Retinopathy Image Synthesis with Generative Adversarial Network
133 Efficient Mining of Frequent Patterns on Uncertain Graphs
134 Online Depression Detection Application
135 Machine Learning For Plant Leaf Disease Detection And Classification
136 Influences In Social Networks
137 Plagiarism Detection Process Using AI
138 Chatbot Application using Deep Learning Algorithm
139 Crime Prediction And Analysis Using Machine Learning
141 Predicting Student Performance with Deep Neural Networks
142 Robust Intelligent Malware Detection Using Deep Learning
143 Pothole Detection System using Convolution Neural Networks
144 Age and Gender Classification using Convolutional Neural Networks
145 Adaptive Safe Semi-Supervised Extreme Machine Learning
146 Opinion Dynamics-Based Group Recommender Systems
147 Spammer Detection and Fake User Identification on Social Networks
Python Special Project List 2022-2023
S.No Project Titles
1 Real Time Vehicle Detection and Counting Using ML
2 Online Tribal Product Selling Application
3 Human Eye Ball Cursor Movement Using Opencv
4 Online E-Assessment Using Image Processing In ∞Exams
5 A Real Time Vehicle Based Suspicious Activity Detection
6 Face Recognition using YOLO Python
7 Density Based Smart Traffic Control System
8 Online e-commerce Shopping Application
9 Online Andhra Pradesh Govt Job Portal
10 College Event Management System
11 Police FIR Management Application
12 During Covid-19 Situation Social Distance Detection Application
13 Web based online Vehicle Service Management Application
14 Online File Management Application
15 Medical Store Bill Management Application
16 Online Railway Reservation Application
17 Student Result Management Application
18 Online web site Sweet Shop Application
19 Leave management Application
20 Human activity recognition using python
21 An Emotion Based Music Player using python
22 Face Mask Detection Application
23 Data Analysis by Web Scraping Using Python
24 Real Time Object Detection Using Yolo
25 Library Management Application using Django
26 Face Recognition Based Attendance Application
27 Social Distancing Detection in Real Time With Al
28 Food Bank Management Application in Django Framework
29 Fire Detection using OpenCV
30 Online Food Order Application Using Django
31 Students Attendance Management Application
32 Railway Reservation Application
33 Student Result Management Application
34 Online Chat room Application
35 Medical Store Management Application
36 Combo Sanke and lader games using django
37 An Emotion Based Music Player using python
38 Distributed File Application
39 School Library Application
40 Employee Information Application
41 Blog News portal application
42 Car Rental Application
43 ecommerce Application with Order tracking
44 Laundry Shop Managament Application
45 File Management Application
46 Inventory Management Mystem
47 Grocery Point Of Sale Application
48 Django School Management Application
49 Chess Game in Web Application
50 Moving Object and Hand, Finger Counting Detection using Frame Differencing
51 Fingerprint based ATM system
52 Handwriting Alphabet and Number Recognition using Machine Learning
53 Brain Stroke Prediction and Analysis of Machine Learning
54 ROAD LANE LINE DETECTION USING OPENCV
55 Sign to Speech Conversion using Machine Learning
2023.02.17 07:55 PlainsmanParkingLot D1 Baseball TV/Streaming for Opening Day (Friday 2/17)
 | submitted by PlainsmanParkingLot to collegebaseball [link] [comments]
https://preview.redd.it/tsl0mswd5pia1.jpg?width=2791&format=pjpg&auto=webp&s=1ace9b4ae637027450117026de9e90cb93e677fe |
2023.01.22 20:13 ericfischer Trans-related papers cited
Trans population demographics
Life expectancy
Size of the trans population
- https://ajph.aphapublications.org/doi/pdfplus/10.2105/AJPH.2016.303578 (US estimate)
- https://www150.statcan.gc.ca/n1/daily-quotidien/220427/dq220427b-eng.htm (Canada census)
- Canada census
- UK census
Average age of realization
Average age of starting HRT
- https://www.liebertpub.com/doi/pdfplus/10.1089/trgh.2017.0028
- https://onlinelibrary.wiley.com/doi/pdf/10.1111/cen.13835
Gender ratio in the trans population
Comorbidities
Transgender-autism comorbidity
ADHD and autism spectrum comorbidity
- https://link.springer.com/article/10.1007/s10803-019-04298-1
- https://link.springer.com/article/10.1007/s10508-014-0285-3
Elevated rates of addiction in trans people
Anxiety disorders in the trans population
Thyroid disease comorbidity
Fertility
Unexpectedly low fertility of pre-HRT trans women
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708020/
- https://link.springer.com/article/10.1007/s43032-021-00561-y
- https://www.fertstert.org/article/S0015-0282(1830670-8/fulltext
Recovery of fertility after stopping HRT
- https://pubmed.ncbi.nlm.nih.gov/26559385/
- https://www.upmc.com/media/news/080519-valli-trans-sperm-recovery
Reference ranges
Testosterone reference range in cis men
Estradiol reference range in children and teens
Mean testosterone in cis teen boys
Breast development
Testosterone level is negatively correlated with breast development
Average breast size by time on HRT
Estrone has no effect on fat redistribution or breast development
High estradiol and spironolactone use as predictors of breast augmentation
Theories of what makes people trans
Transgender as a paraphilia
Fiction and literature
List of transgender science fiction and fantasy
Dosages and levels
Effects of estradiol patches alone on testosterone levels in cis men
Oral estradiol is absorbed more slowly when taken with food
Testosterone levels return to normal 3 to 6 months after stopping spironolactone
- https://www.acpjournals.org/doi/epdf/10.7326/0003-4819-87-4-398 (was https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.906.6716&rep=rep1&type=pdf)
Hair
Effects of HRT on body and facial hair
- https://academic.oup.com/jcem/article/85/8/2913/2853998
- https://www.researchgate.net/publication/20614882_Spironolactone_with_physiological_female_steroids_for_presurgical_therapy_of_male-to-female_transsexualism
- https://link.springer.com/article/10.1007/BF01579291
Uncategorized
High testosterone in a trans woman because of a tumor
Voice
Frequency ranges of teenage voices
Well-being
Transgender people are more likely to be the victims of crime
Improvements in mental health of trans people from HRT
- https://ijpeonline.biomedcentral.com/articles/10.1186/s13633-020-00078-2
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/andr.12884
- https://ajp.psychiatryonline.org/doi/abs/10.1176/appi.ajp.2019.19010080?journalCode=ajp
Side effects
Increased risk of gall bladder disease from estradiol
Weight
BMI has no effect on ability to reach hormone level targets
Weight gain on HRT
- https://onlinelibrary.wiley.com/doi/abs/10.1111/and.12660
- https://www.endocrine-abstracts.org/ea/0041/ea0041EP397
- https://eje.bioscientifica.com/view/journals/eje/178/2/EJE-17-0496.xml
- https://www.nature.com/articles/s41366-021-00935-x
Testosterone levels increase with endurance training
Reasons for detransition
Single-testicle orchiectomy reduces testosterone levels
Effects of transition on athletic ability
Spironolactone raises LH
Alcohol elevates testosterone in cis men
High testosterone level in spite of castration
Reaching stable hormone levels takes 9 months
Breast growth unaffected by stopping and restarting HRT
- https://pubmed.ncbi.nlm.nih.gov/3013122/ / https://psycnet.apa.org/record/1987-11207-001 / https://link.springer.com/article/10.1007/BF01542220
Against conversion therapy
- https://sci-hub.se/10.1001/jama.1953.03690050015006
- https://jamanetwork.com/journals/jama/article-abstract/285400 (Hamburger 1953)
- https://doi.org/10.1176/appi.psychotherapy.1954.8.2.219 (Benjamin 1954)
- https://www.tandfonline.com/doi/abs/10.1080/00224496709550519 (Benjamin 1967)
Reduction of testosterone from licorice consumption
Risks of heart disease
Finasteride does not cause osteoporosis
Eunuchs in the bible
There are no placebo studies of HRT
Hormone levels by administration method
- https://www.endocrinepractice.org/article/S1530-891X(2048321-1/fulltext
- https://www.sciencedirect.com/science/article/abs/pii/S1530891X20483211
There are no good studies of desistance rates
Hair regrowth
Arthritis in trans people
Brain structure of trans people
- https://www.sciencedirect.com/science/article/pii/S1053811920301002
- https://www.sciencedirect.com/science/article/pii/S2213158220303545
Trans OCD case study
- https://www.sciencedirect.com/science/article/pii/S2376060520306027
- https://journals.aace.com/doi/pdf/10.4158/EP161223.CR
HRT regret rate
No linkage between premature birth and being trans
Allowed testosterone level for female athletes
Distribution of baseline hormone levels
De Blok 2018 breast
De Blok 2020
Estrogen receptors of the lacrimal gland
- https://www.researchgate.net/publication/235751985_Immunohistochemical_detection_of_estrogen_and_progesterone_receptors_in_the_human_lacrimal_gland
- http://www.doiserbia.nb.rs/img/doi/0354-4664/2011/0354-46641102319G.pdf
Elevated risk of blood clots with conjugated estrogens
Biotin corruption of blood test results
Cis men can't tell whether they have an estradiol patch or placebo; testosterone level is lowered
Rapid lowering of testosterone from estradiol
BMI has no effect on breast development
Trans women unusually interested in computers in 1974
Average estradiol level achieved from patches
Paper that introduced the concept of gender dysphoria
Effects of orgasm on hormone levels
Early life of David Reimer
Wearing tights reduces stress
- https://link.springer.com/content/pdf/10.1007/s12221-010-0128-3.pdf
- https://www.mdpi.com/1660-4601/15/8/1710
Effects of testosterone on cholesterol
Daily estradiol cycle in day-shift vs. night-shift workers
Daily hormone cycle
Spironolactone dosing as anti-acne medication
Lower estradiol dose required with higher BMI
Male progesterone reference range
- https://www.hormonebalance.org/images/documents/Oettel%2004%20Progesterone%20MEN%20AM_1313008091.pdf
Desistance study that counted lost to followup as desisted
Progesterone inhibits conversion of testosterone to DHT
Effects of testosterone and DHT on facial and body hair growth
- https://academic.oup.com/edrv/article/21/4/347/2423803?login=true
- https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1365-2133.1991.tb00423.x
Baseline testosterone level depressed in trans women
Where the "born in the wrong body" meme came from
Ethel Person's theory of transgender upbringing
Antihistamine effect of estradiol
- https://www.karger.com/Article/Abstract/196448
- https://www.atsjournals.org/doi/pdf/10.1165/rcmb.2007-0298OC
Startle reflex
Abstention from orgasm raises testosterone levels
Studies of transgender parents
- https://doi.apa.org/doiLanding?doi=10.1037%2Ffam0000776
- https://escholarship.org/content/qt3rp0v7qv/qt3rp0v7qv.pdf
Theory of hormone cycles in trans women
Prolonged endurance exercise lowers testosterone levels
Role of estrone in hair growth
Nonbinary hormone strategies
Annual cycle of testosterone level and beard growth
Testosterone drop with rapid weight loss
Estradiol reduces protein consumption in cis men
Rate of drop in testosterone levels from spironolactone
Migraines more common with higher estradiol
Hypothyroidism more common with higher estradiol
What being trans feels like
Surgery regret rate
- https://www.ncbi.nlm.nih.gov/labs/pmc/articles/PMC8099405/
- https://www.frontiersin.org/articles/10.3389/fendo.2014.00087/full
HRT regret rate
First transgender use of puberty blockers
Heat stability of estradiol
Chimerism
Topical estradiol on the face does not affect serum estradiol
Voice differences by gender in young children
Bioavailability of spironolactone higher when taken with food
Theory of trans life cycle or something
Castrati
Link between gender identity and finger length ratio
- https://doc.rero.ch/record/320281/files/10508_2007_Article_9262.pdf
- https://www.endocrinepractice.org/article/S1530-891X(2035801-8/fulltext
Attempt to find genetic cause of gender identity
Time to effectiveness of spironolactone
Elevated testosterone after beginning spironolactone
Effects of natural and artificial sweeteners on hormone production
The Utrecht Gender Dysphoria Scale
Early definition of gender dysphoria
Mountain climbing lowers testosterone
ADHD and hypothyroidism
Gynecomastia from spironolactone
Testosterone elevated during arousal
Informed consent process
High potassium lowers heart rate
Testosterone's effect on alcohol tolerance
Estradiol levels as non-predictor of outcomes
Utility of progesterone
- https://academic.oup.com/jcem/article/104/4/1181/5270376?login=true
- https://academic.oup.com/jcem/article/104/8/3127/5372732
- https://academic.oup.com/jcem/article/104/8/3129/5372735
Estradiol as treatment for schizophrenia in men
Areas of the face from which people make gender determinations
- https://journals.sagepub.com/doi/10.1111/1467-9280.00472
- https://jov.arvojournals.org/article.aspx?articleid=2193317
Cis female estradiol reference range
How medicine talked about trans people before the concept of trans people existed
Progesterone inhibits conversion of testosterone to DHT
2023.01.14 23:38 Static66 Internet only works if I manually change router DNS ip, OR connect to my vpn after cable modem swap
Spectrum recently called my wife and said our speed had been upgraded to 500 Mbps. Speed test confirmed I was getting those speeds. Then we started getting disconnects, the internet would fall off. sometimes for a few minutes/a minute. Then Back up. might go 15 mins, 30 minutes, 6 hours until it would happen again. a few days it was like every few minutes for several hours ourt of the day.
Wife called them, tech support said our Arris modem couldn't handle the new speed, just take it into a spectrum store and get a newer replacement and it will fix the issue. (That awful experience is a separate story, horrible attitudes, rude behavior to every customer in the place.) Was given a Hitron EN2251. I plugged it in and it would not bond. Called support after an eternity on hold, get a fast talking tech. He goes to the script, unplug it all, plug it back in. (I had previously done this X2) I hear him typing, all the lights light up (Unlike previous reboots) and it restarts, blinking..blinking..Ahh the solid blue good bond lights are lit like the linked manual refer to. He tells me I still cannot see it. I need to schedule a tech to check the lines. (The same lines that were previously speed testing at 500 with the old modem, they told me could do 500, WTH?) I say okay. Decide to test after I get off the phone. Try accessing sites and get weird certificate errors and ultimately dns failures. Smart TV's go nowhere.
For giggles on my main computer, I fire up my VPN (ExpressVPN) and lo and behold, it connects. Mind you a speed test says I am pulling40 27 Mbps and 2 up. But it connects and works. So I go to see if I can configure the VPN on my router. Nope, not supported. (ASUS RT-ACRH17) So for giggles I change to manual DNS and plug in Cloudflare's Fats and secure 1.1.1.1 And 1.0.0.1. Much to my surprise smart tv's work, peoples tablets and phones now work. but again at the slow speed around 27 Mbps when I speed test from he router itself.
So what the heck is really wrong? What magic words do I need to whisper OR yell at tech support to get my connection right. Sure feels like a backend problem on their end. When I login to their site, it lists my equipment as the old Arris modem. Says I have to call to add equipment.
Did he miss a step? do I call again and again until I get someone competent? Nothing has changed with my wires, I inspected all the way to the street, nothing appears different. How would they just suddenly be bad? Why should I believe them when they told me the modem would fix it, but then made it completely non-functional until I hacked a kludge together to get something out of this very expensive connection that my family will go mad without. Don't want to wait days for some half-assed contractor to show up and get know where. Taking any and all suggestions.
submitted by Static66 to Spectrum [link] [comments]
Wife called them, tech support said our Arris modem couldn't handle the new speed, just take it into a spectrum store and get a newer replacement and it will fix the issue. (That awful experience is a separate story, horrible attitudes, rude behavior to every customer in the place.) Was given a Hitron EN2251. I plugged it in and it would not bond. Called support after an eternity on hold, get a fast talking tech. He goes to the script, unplug it all, plug it back in. (I had previously done this X2) I hear him typing, all the lights light up (Unlike previous reboots) and it restarts, blinking..blinking..Ahh the solid blue good bond lights are lit like the linked manual refer to. He tells me I still cannot see it. I need to schedule a tech to check the lines. (The same lines that were previously speed testing at 500 with the old modem, they told me could do 500, WTH?) I say okay. Decide to test after I get off the phone. Try accessing sites and get weird certificate errors and ultimately dns failures. Smart TV's go nowhere.
For giggles on my main computer, I fire up my VPN (ExpressVPN) and lo and behold, it connects. Mind you a speed test says I am pulling
So what the heck is really wrong? What magic words do I need to whisper OR yell at tech support to get my connection right. Sure feels like a backend problem on their end. When I login to their site, it lists my equipment as the old Arris modem. Says I have to call to add equipment.
Did he miss a step? do I call again and again until I get someone competent? Nothing has changed with my wires, I inspected all the way to the street, nothing appears different. How would they just suddenly be bad? Why should I believe them when they told me the modem would fix it, but then made it completely non-functional until I hacked a kludge together to get something out of this very expensive connection that my family will go mad without. Don't want to wait days for some half-assed contractor to show up and get know where. Taking any and all suggestions.
2023.01.10 01:54 Adderalin What's next after Portfolio Margin? The Potential Trading Career Paths Ahead For You
Many people think Portfolio Margin is just the end game or final destination on their own path through trading. Take a minute to reflect through your own path of discovery of unlocking more margin, more power, yet with more responsibility.
For me, my own path:
I'm going to open the door for everyone. The path does not end with retail Portfolio Margin. I was really excited to have hit $250k in my account a second time (highest in taxable was $400k b4 house, $330k after house.) I'll tell you why:
There is more portfolio margin offerings past the initial offerings of TD Ameritrade and the like! Getting Retail PM is just another step on a journey of your trading career path however you want it to be.
For instance - being on Portfolio Margin at TD Ameritrade they expect you to know the house rules, the Short Unit Test, Point of No Return rules (PNR), and so on. They're friendly to talk you through it and explain it of course. The whole idea though is with greater margin/leverage/risk comes greater responsibilities.
I've separated the two career paths into the "less regulated path" - this is blending still largely retail trading (your option orders will still be marked non professional) but expectations to complying with the above frameworks and not giving your broker a heart attack, to the more regulated path where you have licensing requirements, exams, tests and if you fuck up its much easier for fines/exchange censures/etc.
Of course - you can stick to regular portfolio margin! Many people can and do. I just haven't seen any post like this anywhere on Reddit OR the internet at all. I want to share with you all!
On the less regulated path this is obtaining a prime-brokerage account. If you're able to maintain $500k net-liq (per OCC overnight values) by the close of each trading day you unlock some major major benefits. The biggest benefits getting a prime brokerage account is:
Different prime brokers might have much better locates available than what TD Ameritrade has if you're a short seller. If you have a really profitable options trading strategy but are annoyed that TOS seems to take 1-2 seconds to route your orders - you can find a good Direct Market Access broker that is already colo-located with the exchange you like to trade.
You might also get some extra margin relief vs TD Ameritrade gives you.
Regulation issues you might face at this level:
This is the grand-daddy prime brokerage account. At this level the handcuffs come off. You can do anything a hedge fund can do. The options are endless:
All the steps here on this path require licensing - full stop. Licensing requires a lot of study, regulations, background checks, a moral and ethical code, good moral character, possible restrictions on trading in your own accounts, possible restrictions on strategies, leverage controls, risk management, and so on. You'll be registering with a ton of regulatory bodies (the SEC, FINRA, Exchanges, SIPC, etc) depending on what you want to do. From this point you'll be paying pro data fees for your home account, pro data fees for anything else, etc.
At this level - you are beginning to be treated less as an individual and more as a firm the more you progress.
The benefits are mentorship, community, organization, learning from people who have done it before you, and so on.
This guide will cover the Net Capital Rules
Proprietary Trading Requirements: $0 to $50k+
So, I debated mentioning prop trading or not. Most shops suck ass and stick traders to reg-t limits with risk controls. However in my interview circuit one VERY REPUTIABLE firm was willing to let me have PM at $50k with my money gone first with haircuts, 1 year before I could withdraw my deposit. They didn't allow ANYONE to trade options but they reviewed my brokerage statements and felt safe with me given my track record/so on. I decided against it as they wanted a 80/20 split where they'd take 20% profit. Secondly - risk controls seemed too great for me. Third - wanted monthly reports on the strategy while equity traders were 100% discretionary with no reports. They offered up to 10x leverage for equities, and 30x with written permission for stuff like merg-arb.
Pros:
This was the OG portfolio margin back in the day. Get your various series licenses, pass a written and oral exam, and you get to trade on the floor, with all the leverage available to you. What is the difference between a floor trader and a floor broker? A floor trader trades for his own account. A floor broker trades for other peoples' accounts.
Pros:
Market Maker Requirements: Maintaining $250,000 net liquidation at all times What brokers like to see: $500k+ (survive 50% drawdown)
So for $250k you can get PM and be an actual Market Maker in options or equities! Yup, for that low of $250k! Robert Morse covers a crap ton of market maker advantages that are just crazy! I'll post these here and add on my own:
Pros:
Designated Primary Market Maker Requirements: Maintaining $7,000,000 net liquidation at all times
Formerly known as a specialist - You're now swimming with the big boys - Citadel and the like. Achieving this level means you are the official market maker for one or more stocks with the exchange(s) you have a seat on. If you're doing equities - you are the point of contact for your stock. You're the point of contact for the options or the stock for the exchange it is listed on.
For options I'm still really in the dark as to what level this gives you in terms of advantages over better selection of stocks and so on to market make in.
Pros:
This is the final career path in the more regulated side. If your trading edge has died and you can't mine the gold yourself, you still can sell the pick axes and shovels. FINRA requires $100k of net capital and licensing, and your state(s) might require more. The same Floor Broker stuff we talked about. If you're tired of all the options available in brokers - slow routing, bad APIs, etc, you can say hit up Interactive Brokers and mark up their fees by 15x if you have some new innovative take on being a broker and can attract a ton of client accounts and so forth:
Client markups by introducing brokers are limited to 15 times IBKR's highest tiered rate plus external fees.
This last section is talking about opening up another Robinhood/TD Ameritrade brokerage business, etc for the Public. You can already privately trade on PM for a lot less as a regulated floor broker.
Pros:
Pros:
Requirements: Maintaining $25,000,000 net liquidation at all times AFTER RISK BASED HAIRCUTS - ie a brokerage firm has to have $25m AFTER the SPX drops 20%!
Pros:
Individual Trading:
Of course, just because the regulations lets you start a prime broker account at $500k, market making at $250k, or a full on brokerage offering PM at $25m, remember these are the minimums. Suffer a $1 loss and it's a margin call, wire in more funds or you have to stop doing that activity! I'd recommend at least doubling the above figures if you want to be self-sufficient in it and survive typical 2008 era drawdowns:
$1m for realistically exploring prime-broker services $10m for prime-brokers unleashed
$500k to start market-making $14m-$20m if you want to start a HFT Options MM firm.
$50m - $100m if you want to start a new brokerage firm and offer portfolio margin.
FINRA Net Capital Rules
CBOE C1 Exchange Rulebook
CBOE Market Making Program
submitted by Adderalin to PMTraders [link] [comments]
For me, my own path:
- 2010: $5,000 opened my first brokerage account, an Roth IRA account at Vanguard and googled around, found Bogleheads. Was passive investor for a while and insanely focused on career.
- 2013: Discovered Reddit and /financialindependence changed my life.
- 2014: $5,000 opened cash taxable brokerage account. Got hit with a freeriding violation, googled that shit, enabled margin. Discovered /wallstreetbets lost money buying 50% OTM GILD calls. Kept to passive investing.
- 2016: Took selling theta seriously (tasty-works style.) Started off spreads. At $10k TDA gave me naked options margin. Was annoyed with being limited to 4 day trades a day. Hit $25k in summer - mind blown that all a sudden TDA would let me spin it on up to $100k - 4x with intraday margin. Likewise TDA let me have Intraday Futures Margin by signing their form.
- 2016: Interview rounds in the whole industry from the biggest option firms in the world to the smallest prop firms. I toured them all. Two offers from two top option firms. I decided to shoot for portfolio margin instead.
- 2020: Unlocked Portfolio Margin
I'm going to open the door for everyone. The path does not end with retail Portfolio Margin. I was really excited to have hit $250k in my account a second time (highest in taxable was $400k b4 house, $330k after house.) I'll tell you why:
There is more portfolio margin offerings past the initial offerings of TD Ameritrade and the like! Getting Retail PM is just another step on a journey of your trading career path however you want it to be.
The Two Paths Ahead of You
So the two paths are both amazing career paths, however they both have one thing that I feel they share in common: the beginning of the end of retail trading. As you advance on these paths you'll face more regulations with the more privileges and reductions of margin you get. The further you go down these paths the less trading is "retail" and becomes more "professional."For instance - being on Portfolio Margin at TD Ameritrade they expect you to know the house rules, the Short Unit Test, Point of No Return rules (PNR), and so on. They're friendly to talk you through it and explain it of course. The whole idea though is with greater margin/leverage/risk comes greater responsibilities.
I've separated the two career paths into the "less regulated path" - this is blending still largely retail trading (your option orders will still be marked non professional) but expectations to complying with the above frameworks and not giving your broker a heart attack, to the more regulated path where you have licensing requirements, exams, tests and if you fuck up its much easier for fines/exchange censures/etc.
Of course - you can stick to regular portfolio margin! Many people can and do. I just haven't seen any post like this anywhere on Reddit OR the internet at all. I want to share with you all!
The Less Regulated Path
Prime Brokerage Account Unlock Requirement: Maintaining $500,000 net liquidation at all times What Brokers Like to See: $1m+ (so you can survive a 50% drawdown.)On the less regulated path this is obtaining a prime-brokerage account. If you're able to maintain $500k net-liq (per OCC overnight values) by the close of each trading day you unlock some major major benefits. The biggest benefits getting a prime brokerage account is:
- Allowed to execute away from your broker. You're still bound to PDT rules at $500k.
- Execution quality improvements - being allowed to execute away lets you connect directly to an exchange or send trades to multiple brokers!
- Since you can execute with multiple brokers - you can locate hard to borrow shares with different brokers. Execute short sells at IBKR, TDA, and others who have short inventory, etc!
- Possible access to dark pools/block trades.
- Access to better order types (Sadly enabling "advanced features" for PM at TDA gets rid of FOK - fill or kill!)
- Access to MUCH better trading APIs/Orders than TDA/IBKR, for example: https://www.tradewex.com/Home/Integration
- Networking - Capital Introduction if you want to raise money to start a hedge fund.
Different prime brokers might have much better locates available than what TD Ameritrade has if you're a short seller. If you have a really profitable options trading strategy but are annoyed that TOS seems to take 1-2 seconds to route your orders - you can find a good Direct Market Access broker that is already colo-located with the exchange you like to trade.
You might also get some extra margin relief vs TD Ameritrade gives you.
Regulation issues you might face at this level:
- If you want to execute away at $500k - $5m - you have to provide a real time drop file of your trades, or use a broker that does so to ensure you don't violate PDT rules.
- Might have very specific custom agreements. Might need to retain legal advice if its your first time!
- If you prime-broker with Goldman Sachs they make you apply a value-at-risk stress test to your portfolio.
- If your software directly connects with an exchange they have specific testing requirements that you might have to hire a consultant for. You're also going to have to sign and agree to exchange requirements/rules/procedures vs being a retail trader who the broker is supposed to know most of this.
- TONS of regulations if you want to start a hedge fund and invest OPM - other people's money.
This is the grand-daddy prime brokerage account. At this level the handcuffs come off. You can do anything a hedge fund can do. The options are endless:
- Get full TIMS margin. Lightspeed offers that for $5m+ - No additional 20% of exchange mandated portfolio margin requirement
- PDT rules don't apply to $5m+ prime brokerage accounts. Go nuts making large day trades. Must close above $5m each day.
- If you want to self clear - you get access to STANS margin (lets you offset risk with futures positions.)
- Definitely full access to any dark pools and block trading at this level. Have nuts placing a buy order of 200,000 of MSFT, getting the average price of the last 5 minutes of retail trades, and your 200k share buy doesn't affect the market until after the print of the trade.
- You have the same trading privileges of any hedge fund - so you can start one yourself if you want to!
- You might be subject to Large Trader Reporting - essentially the SEC will review all of your trades if you trade 2 million shares or $20 million in a day, or 20 million shares/$200 million in a month. Easy to cross this threshold if you hit $5m with a 4x PDT strategy!
- Did you know options have position limits? Some are as low as 25,000 contracts!
- If you self clear - tons of regulations!
- If you use dark pools - tons of regulations on how you access and use these systems. HFT firms get kicked out all the time by abusing stuff like sending FOK orders to probe dark pool liquidity... then get invited back as they were actually helping with liquidity... then getting kicked off again as they front-ran the limbering institutional inside there too much.
- If you start a hedge fund and take other peoples' money - shit ton of regulations. Good luck!
- If you hire other traders - make sure they don't start spoofing or creating manipulative trades on behalf of your firm! Now you have to conduct your own surveillance activities.
The More Regulated Path
Did you know Portfolio Margin existed for Clearing Firm members in 1986? Did you know you could have traded on Portfolio Margin as early as ~1994 if you got floor access to the various exchange trading floors? At the time it was called risk based haircuts. Portfolio Margin evolved to give retail the same advantages and risks that Floor Traders and Floor Brokers have been enjoying for years and years!All the steps here on this path require licensing - full stop. Licensing requires a lot of study, regulations, background checks, a moral and ethical code, good moral character, possible restrictions on trading in your own accounts, possible restrictions on strategies, leverage controls, risk management, and so on. You'll be registering with a ton of regulatory bodies (the SEC, FINRA, Exchanges, SIPC, etc) depending on what you want to do. From this point you'll be paying pro data fees for your home account, pro data fees for anything else, etc.
At this level - you are beginning to be treated less as an individual and more as a firm the more you progress.
The benefits are mentorship, community, organization, learning from people who have done it before you, and so on.
This guide will cover the Net Capital Rules
Proprietary Trading Requirements: $0 to $50k+
So, I debated mentioning prop trading or not. Most shops suck ass and stick traders to reg-t limits with risk controls. However in my interview circuit one VERY REPUTIABLE firm was willing to let me have PM at $50k with my money gone first with haircuts, 1 year before I could withdraw my deposit. They didn't allow ANYONE to trade options but they reviewed my brokerage statements and felt safe with me given my track record/so on. I decided against it as they wanted a 80/20 split where they'd take 20% profit. Secondly - risk controls seemed too great for me. Third - wanted monthly reports on the strategy while equity traders were 100% discretionary with no reports. They offered up to 10x leverage for equities, and 30x with written permission for stuff like merg-arb.
Pros:
- Quickest route to actual leverage past reg-t limits without having $ for PM.
- Possibly K-1 or 1099. If 1099 it's self employment income allowing you to contribute to a solo 401k. If it's k1 its pass-through cap gains. The firm that offered me PM was cap-gains.
- Mentorship.
- Charges a ton for trade fees (huge markup over IBKR, clearly a profit center for them), software fees (huge markup over IBKR), pro data fees (another markup), and so on. I'd say 2x.
- Questionable how profitable you'd be with 2x markup on everything.
- Licensing - 1 or more series licenses as you're trading other peoples money (firm money). At this level though you're going to be mentored like crazy, risk monitored like crazy, and subject to real risk controls.
This was the OG portfolio margin back in the day. Get your various series licenses, pass a written and oral exam, and you get to trade on the floor, with all the leverage available to you. What is the difference between a floor trader and a floor broker? A floor trader trades for his own account. A floor broker trades for other peoples' accounts.
Pros:
- MAJOR Tax Advantages. Owning/Leasing a seat on an options exchange makes your option trades 60/40 long-term/short term capital gains tax with NO wash sales.
- Before retail-PM came about in 2007 this was the ONLY way to get Portfolio Margin like relief. If you're ever in a time traveling situation now you know how to get PM if you've found yourself in the past.
- Besides tax advantages - The biggest thing you get today being a floor trader is access:
- Access to dark pool systems much quicker than $500k/$5m above retail-prime-brokerage cutoffs.
- Access to placing orders directly on exchanges much quicker than $500k/$5m cutoffs.
- Access to upstairs liquidity providers - if you're trading 1,000 contracts you can get some quotes on a bid and ask for both sides from other floor brokers/floor traders, possibly better pricing than the electronic markets.
- Access to other professionals - sharing an office, and so on.
- Floor Broker: Get paid to run other peoples accounts/trade on their behalf for commission/fees/etc.
- Marked "floor" for option orders. (yup there's actually 3 markings of trades! retail, professional, and floor!)
- Have to buy/lease a seat. Expensive $$$
- Approved software that interacts with exchanges is expensive. $$$
- Writing your own software has testing requirements that's less expensive. $
- Have to get licensed/take tests. Floor trader = way less regulations (CBOE manual goes back and forth on requiring a floor TRADER to have a series license since they're trading their own account - might have to phone call them.)
- In a professional environment - I'm not sure what the mentorship is like for a floor trader vs the MM route. My gut feeling its more swimming on your own.
- Subject to exchange fines.
- In the past physical presence was required - you had to physically trade on the floor. I'm not sure how it is today post covid if it's still the same if you go this route. CBOE appears to be relaxing the requirement for floor presence, especially if you trade your own account. YMMV with other exchanges (nasdaq, NYSE, etc.)
- You've taken professional tests. You've paid professional dues. You've gotten professional tax advantages. You'll be upheld to much more regulations than a retail WSBer spinning $100k in a PM account.
- Significant regulations if you go the floor broker route. Floor trader is mostly regulations around system access and so on since you're trading your own account.
Market Maker Requirements: Maintaining $250,000 net liquidation at all times What brokers like to see: $500k+ (survive 50% drawdown)
So for $250k you can get PM and be an actual Market Maker in options or equities! Yup, for that low of $250k! Robert Morse covers a crap ton of market maker advantages that are just crazy! I'll post these here and add on my own:
- Option Market Makers income is 60% capital gain/40% short term (same as a floor trader.)
- Option Market Makers are taxed based on MTM with no wash sales (same as a floor trader.)
- Option Market Makers do not require a located on HTB stocks to sell short-customers do.
- Option Market Makers are not required to tag bid/offers as open/close-customers must.
- Option Market Makers get market maker margin which is better than Portfolio Margin
- Option Market Makers can change many bids/offer with a single message-non-members have to cancel/replace each order
- Inspect the order book! Yup! Market Makers get to see the entire order book - hidden orders, firm flags (IBKR orders, TD Ameritrade orders), professional status of the order (retail, professional, floor), Order Flags("Buy to close vs Buy to Open) and so on. Yes Market Makers can tell the difference between a Robinhood Order, a TD Ameritrade Order, and an IBKR Order!
- Inspect the Complex Order Book (COB) - Now you can see all the resting spreads. Feel free to pick off the profitable spreads!
- Send responses to Price Improvement Auctions. Did you know Price Improvement Auctions actually ping market makers asking them to submit a bid or an offer?
- Still have the ability to trade for other firms like prop-trading. You can join a Designated Primary Market Maker like Citadel and market-make under them with your $250k net-liq market-making permit.
- Have the ability to respond to flash orders. Market Makers get to see orders for 50 ms before the public do for orders routed to the CBOE Exchange. The SEC Banned Flash Orders in 2009 but if we look at the CBOE's Step-Up Mechanism we see flash orders are alive and well on options exchanges! "Cboe SUM Auctions provide execution opportunity by exposing marketable orders prior to (1) routing to an away market, (2) canceling an order back or (3) booking the order on the Exchange. The period of time the SUM Auction order will be exposed is 50 ms."
- Buy or lease a seat on the exchange you want to Market Make.
- Expensive. Professional accounting REQUIRED - $1k - $1.5k/mo.
- Market-Making software is rare like Actant Quote - $3.5k/mo
- Probably $12k/mo in business expenses all-in given all the regulations, clearing, etc.
- Subject to exchange fines.
- Delta hedging required/strongly suggested at these low levels.
- Restricted from Acting as a Market Maker and Floor Broker(Trader) in Same Security/Related Securities in the Same Business Day.
- Need broker-dealer licensing. Full stop - from here on you're fully licensed and subject to a lot more red tape.
- You're treated as a firm. Even if it's all just you as a sole-proprietorship - this is the end of individual trading. From here on you are now a firm.
- Required to have your books and records open to inspection of the exchanges you market-make with. Yup - the exchanges get to inspect all your accounting and every trade/order!
- Need professional accounting - see above why.
- Subject to quoting requirements. At this level you are told by your Lead or Designated Market Maker which options and series to quote per the exchange rulebook's time and series quoting requirements. For instance if you join CBOE they require 90% of time and 60% of series (strikes) for quoting options. If you join NYSE they are much more relaxed - 60% of time of quoting and no % of series requirements.
- Firewall Requirements - if your firm also does prop trading they CANNOT know about the market-making sides. Imagine the advantage it gives knowing the order book. It's such an issue that Madoff hid his ponzi scheme for years by successfully misleading the SEC by making them think there was a firewall leak between his legit market-making side of his firm and his legit prop-side of the firm.
- "Except under unusual circumstances and with the prior permission of a Floor Official, no Trading Permit Holder shall, on the same business day, act as a Market-Maker and also act as a Floor Broker (i) with respect to option contracts traded at a given station, or (ii) in any security determined by the Exchange to be related to such a security."
- Market Making at this level feels more like prop-trading in that there is mentorship but you're trading your own capital and not other peoples' capital but it's also very competitive. Exchange rulebooks require competition between Market Makers.
Pros:
- Get to quote more stocks/option classes
- Possibly boss around Market Makers if you're trading for a Designated Primary Market Maker like Citadel?
- Nothing I can think of much that wasn't already covered.
Designated Primary Market Maker Requirements: Maintaining $7,000,000 net liquidation at all times
Formerly known as a specialist - You're now swimming with the big boys - Citadel and the like. Achieving this level means you are the official market maker for one or more stocks with the exchange(s) you have a seat on. If you're doing equities - you are the point of contact for your stock. You're the point of contact for the options or the stock for the exchange it is listed on.
For options I'm still really in the dark as to what level this gives you in terms of advantages over better selection of stocks and so on to market make in.
Pros:
- Corner the market... literally on your exchange, per CBOE C1 Rulebook: "Only one DPM may be appointed per class."
- Ability to participate in payment for order flow. Given your size brokers will be happy to sign PFOF agreements.
- Huge advantages for equity traders being the source of liquidity. I'm not sure on the options side vs what we already covered above.
- At the $7m level it looks like it's possible that delta hedging isn't required, given SIG recently getting in trouble for violating option position limits. Either way - they used market-making to build up speculative positions instead of delta hedging them.
- You can obtain Market-Making permits and hire individual market makers to help you make markets.
- Better be careful what you pick to be a DPM of: "A DPM's allocation in an option class or group of classes is non-transferable unless approved by the Exchange."
- SEC just nuked Payment for Order Flow.
This is the final career path in the more regulated side. If your trading edge has died and you can't mine the gold yourself, you still can sell the pick axes and shovels. FINRA requires $100k of net capital and licensing, and your state(s) might require more. The same Floor Broker stuff we talked about. If you're tired of all the options available in brokers - slow routing, bad APIs, etc, you can say hit up Interactive Brokers and mark up their fees by 15x if you have some new innovative take on being a broker and can attract a ton of client accounts and so forth:
Client markups by introducing brokers are limited to 15 times IBKR's highest tiered rate plus external fees.
This last section is talking about opening up another Robinhood/TD Ameritrade brokerage business, etc for the Public. You can already privately trade on PM for a lot less as a regulated floor broker.
Pros:
- Opening a brokerage business TO THE PUBLIC - to allow the public to place trades, instead of trading on behalf of other people.
- Possibly get lots of passive income from non-invested money, lending out shares to short, fee markups/etc.
- Entrepreneurs dream. Robinhood started off with an app and broke huge ground.
- Quick to start off by being an Introducing Broker. Basically resell IBKR or Lightspeed services but with your own website/branding/functionality.
- Red tape galore - lots of legalities, licensing, even more than all the above career paths as now you're openly advertising a brokerage website/services to the PUBLIC.
- Full on business - end of discussion.
- Probably going to need lots of employees to help you with everything.
- Probably need a lot more than the minimum FINA capital requirements realistically.
- Not for the faint of the heart.
Pros:
- Your customers now can gamble on Reg-T margined Options by placing their own trades.
- It's your money at line if your customers blow up and you can't recover your customers assets.
- By allowing options trading - you become a member of the OCC - Options Clearing Corporation, which backs all option contracts. Legally the OCC is the buyer and seller of all options and they guarantee the performance if an individual busts an account. You might have OCC member payments due if another brokerage goes bankrupt to ensure the integrity of the options clearing corporation.
Requirements: Maintaining $25,000,000 net liquidation at all times AFTER RISK BASED HAIRCUTS - ie a brokerage firm has to have $25m AFTER the SPX drops 20%!
Pros:
- Your customers can now have PM! If ya'll don't like the current offerings of TDA, Charles Scwhab, etc., if you can collectively get $25m together for a firm we can start a new PM Traders Brokerage.
- You're required to pass the SPX Beta Test as a brokerage firm and also if you want to be a TPH (Trading Permit Holder) of CBOE - you're required to pass that with +40% vix levels too! Now you know why TDA is on our butts about passing the SPX Beta Test as they collectively have to pass as well per exchange rules!
- Capital Calls - Biggest issue I've found for brokers offering PM is if your equity falls due to your customers' trading - you have to get more equity within 5 business days for each million you're under $25m. That means you will be having to establish credit lines with Goldman Sachs and the like to fund these additional capital calls. More risky your PM customers are = more credit you have to borrow from the investment bankers. This equity is based off your biggest loss - most likely a 20% downward move in SPX.
- $1m equity per PM customer at max loss on TIMS. In addition to $25m firm equity - each PM customer that signs up requires you to get $1m of equity per PM account - may be drawn as a line of credit as well. So if you have a PM customer with $2.5m equity but they're looking at a $5m total loss on a 20% down move on SPX, you'll need to match $3m of your own money to that account (rounded up to nearest $1m.) This is also due within 5 days of risk breach. This explains Lightspeed's Maximum Dollar Risk Rules
- If your retail customers blow up a PM account and you can't recover funds from them - your own money is at risk.
Prime Brokers List
Here's a list of Prime Brokers, in no particular order:- Lightspeed (also has PM) - https://lightspeed.com/institutional-services/prime-brokerage
- Bank of America Merrill Lynch - ML Prime - https://markets.ml.com/login/mlprime
- DASH (also offers PM) - https://dashprime.com/
- Goldman Sachs - https://www.goldmansachs.com/what-we-do/FICC-and-equities/prime-services/index.html
- Interactive Brokers - https://www.interactivebrokers.com/en/trading/prime-broker-services.php
- Morgan Stanley Matrix (might also offer PM) - https://www.morganstanley.com/matrixvision/
Execution Providers List
Here is a list of Execution Providers - broker-dealers that you can execute away trades with for more efficiency without being a member of an exchange yourself:- Matrix Executions - https://www.matrixexecutions.com/
- Trading Technologies - https://www.tradingtechnologies.com/
- Dynamex Trading & Execution - https://dynamextrading.com/cmta-dvp-agreements/
- Wolverine Execution Services - https://www.tradewex.com/Home/Execution
Summary
I have covered the whole spectrum of career advances past Portfolio Margin. Just like retail trading went cash -> margin -> options margin -> pattern day trader -> portfolio margin. I've unlocked three new career paths in the market should you choose to pursue them with your trading gains.Individual Trading:
- $50k - Prop Shops might allow you to have PM at this level.
- $100k - Floor TradeBroker OG Portfolio Margin Account
- $125k - Retail PM Account
- $500k - Prime Brokerage Unlocked
- $5m - Prime Brokerage Unleashed
- $250k - Options/Individual Stocks Market Making with PM. Can Market-Make for a DPM
- $1m - Lead Market Maker - Slightly Better Market Making?
- $7m - Designated Primary Market Maker - Citadel Level of Market Making
- $100k - Floor Broker OG PM Account (PM trades on behalf of others)/Introducing Brokers (equity only)
- $1m - Offer Reg-T Options Trading to your customers to place their own trades
- $25m - Offer PM Trading to your customers to place their own PM margin trades
Of course, just because the regulations lets you start a prime broker account at $500k, market making at $250k, or a full on brokerage offering PM at $25m, remember these are the minimums. Suffer a $1 loss and it's a margin call, wire in more funds or you have to stop doing that activity! I'd recommend at least doubling the above figures if you want to be self-sufficient in it and survive typical 2008 era drawdowns:
$1m for realistically exploring prime-broker services $10m for prime-brokers unleashed
$500k to start market-making $14m-$20m if you want to start a HFT Options MM firm.
$50m - $100m if you want to start a new brokerage firm and offer portfolio margin.
Sources
FINRA Portfolio Margin FAQFINRA Net Capital Rules
CBOE C1 Exchange Rulebook
CBOE Market Making Program
2023.01.05 01:18 Adderalin What's next after Portfolio Margin? The Potential Trading Career Paths Ahead For You
Many people think Portfolio Margin is just the end game or final destination on their own path through trading. Take a minute to reflect through your own path of discovery of unlocking more margin, more power, yet with more responsibility.
For me, my own path:
I'm going to open the door for everyone. The path does not end with retail Portfolio Margin. I was really excited to have hit $250k in my account a second time (highest in taxable was $400k b4 house, $330k after house.) I'll tell you why:
There is more portfolio margin offerings past the initial offerings of TD Ameritrade and the like! Getting Retail PM is just another step on a journey of your trading career path however you want it to be.
For instance - being on Portfolio Margin at TD Ameritrade they expect you to know the house rules, the Short Unit Test, Point of No Return rules (PNR), and so on. They're friendly to talk you through it and explain it of course. The whole idea though is with greater margin/leverage/risk comes greater responsibilities.
I've separated the two career paths into the "less regulated path" - this is blending still largely retail trading (your option orders will still be marked non professional) but expectations to complying with the above frameworks and not giving your broker a heart attack, to the more regulated path where you have licensing requirements, exams, tests and if you fuck up its much easier for fines/exchange censures/etc.
Of course - you can stick to regular portfolio margin! Many people can and do. I just haven't seen any post like this anywhere on Reddit OR the internet at all. I want to share with you all!
On the less regulated path this is obtaining a prime-brokerage account. If you're able to maintain $500k net-liq (per OCC overnight values) by the close of each trading day you unlock some major major benefits. The biggest benefits getting a prime brokerage account is:
Different prime brokers might have much better locates available than what TD Ameritrade has if you're a short seller. If you have a really profitable options trading strategy but are annoyed that TOS seems to take 1-2 seconds to route your orders - you can find a good Direct Market Access broker that is already colo-located with the exchange you like to trade.
You might also get some extra margin relief vs TD Ameritrade gives you.
Regulation issues you might face at this level:
This is the grand-daddy prime brokerage account. At this level the handcuffs come off. You can do anything a hedge fund can do. The options are endless:
All the steps here on this path require licensing - full stop. Licensing requires a lot of study, regulations, background checks, a moral and ethical code, good moral character, possible restrictions on trading in your own accounts, possible restrictions on strategies, leverage controls, risk management, and so on. You'll be registering with a ton of regulatory bodies (the SEC, FINRA, Exchanges, SIPC, etc) depending on what you want to do. From this point you'll be paying pro data fees for your home account, pro data fees for anything else, etc.
At this level - you are beginning to be treated less as an individual and more as a firm the more you progress.
The benefits are mentorship, community, organization, learning from people who have done it before you, and so on.
This guide will cover the Net Capital Rules
Proprietary Trading Requirements: $0 to $50k+
So, I debated mentioning prop trading or not. Most shops suck ass and stick traders to reg-t limits with risk controls. However in my interview circuit one VERY REPUTIABLE firm was willing to let me have PM at $50k with my money gone first with haircuts, 1 year before I could withdraw my deposit. They didn't allow ANYONE to trade options but they reviewed my brokerage statements and felt safe with me given my track record/so on. I decided against it as they wanted a 80/20 split where they'd take 20% profit. Secondly - risk controls seemed too great for me. Third - wanted monthly reports on the strategy while equity traders were 100% discretionary with no reports. They offered up to 10x leverage for equities, and 30x with written permission for stuff like merg-arb.
Pros:
This was the OG portfolio margin back in the day. Get your various series licenses, pass a written and oral exam, and you get to trade on the floor, with all the leverage available to you. What is the difference between a floor trader and a floor broker? A floor trader trades for his own account. A floor broker trades for other peoples' accounts.
Pros:
Market Maker Requirements: Maintaining $250,000 net liquidation at all times What brokers like to see: $500k+ (survive 50% drawdown)
So for $250k you can get PM and be an actual Market Maker in options or equities! Yup, for that low of $250k! Robert Morse covers a crap ton of market maker advantages that are just crazy! I'll post these here and add on my own:
Pros:
Designated Primary Market Maker Requirements: Maintaining $7,000,000 net liquidation at all times
Formerly known as a specialist - You're now swimming with the big boys - Citadel and the like. Achieving this level means you are the official market maker for one or more stocks with the exchange(s) you have a seat on. If you're doing equities - you are the point of contact for your stock. You're the point of contact for the options or the stock for the exchange it is listed on.
For options I'm still really in the dark as to what level this gives you in terms of advantages over better selection of stocks and so on to market make in.
Pros:
This is the final career path in the more regulated side. If your trading edge has died and you can't mine the gold yourself, you still can sell the pick axes and shovels. FINRA requires $100k of net capital and licensing, and your state(s) might require more. The same Floor Broker stuff we talked about. If you're tired of all the options available in brokers - slow routing, bad APIs, etc, you can say hit up Interactive Brokers and mark up their fees by 15x if you have some new innovative take on being a broker and can attract a ton of client accounts and so forth:
Client markups by introducing brokers are limited to 15 times IBKR's highest tiered rate plus external fees.
This last section is talking about opening up another Robinhood/TD Ameritrade brokerage business, etc for the Public. You can already privately trade on PM for a lot less as a regulated floor broker.
Pros:
Pros:
Requirements: Maintaining $25,000,000 net liquidation at all times AFTER RISK BASED HAIRCUTS - ie a brokerage firm has to have $25m AFTER the SPX drops 20%!
Pros:
Individual Trading:
Of course, just because the regulations lets you start a prime broker account at $500k, market making at $250k, or a full on brokerage offering PM at $25m, remember these are the minimums. Suffer a $1 loss and it's a margin call, wire in more funds or you have to stop doing that activity! I'd recommend at least doubling the above figures if you want to be self-sufficient in it and survive typical 2008 era drawdowns:
$1m for realistically exploring prime-broker services $10m for prime-brokers unleashed
$500k to start market-making $14m-$20m if you want to join HFT firms.
$50m - $100m if you want to start a new brokerage firm and offer portfolio margin.
FINRA Net Capital Rules
CBOE C1 Exchange Rulebook
CBOE Market Making Program
submitted by Adderalin to test [link] [comments]
For me, my own path:
- 2010: $5,000 opened my first brokerage account, an Roth IRA account at Vanguard and googled around, found Bogleheads. Was passive investor for a while and insanely focused on career.
- 2013: Discovered Reddit and /financialindependence changed my life.
- 2014: $5,000 opened cash taxable brokerage account. Got hit with a freeriding violation, googled that shit, enabled margin. Discovered /wallstreetbets lost money buying 50% OTM GILD calls. Kept to passive investing.
- 2016: Took selling theta seriously (tasty-works style.) Started off spreads. At $10k TDA gave me naked options margin. Was annoyed with being limited to 4 day trades a day. Hit $25k in summer - mind blown that all a sudden TDA would let me spin it on up to $100k - 4x with intraday margin. Likewise TDA let me have Intraday Futures Margin by signing their form.
- 2016: Interview rounds in the whole industry from the biggest option firms in the world to the smallest prop firms. I toured them all. Two offers from two top option firms. I decided to shoot for portfolio margin instead.
- 2020: Unlocked Portfolio Margin
I'm going to open the door for everyone. The path does not end with retail Portfolio Margin. I was really excited to have hit $250k in my account a second time (highest in taxable was $400k b4 house, $330k after house.) I'll tell you why:
There is more portfolio margin offerings past the initial offerings of TD Ameritrade and the like! Getting Retail PM is just another step on a journey of your trading career path however you want it to be.
The Two Paths Ahead of You
So the two paths are both amazing career paths, however they both have one thing that I feel they share in common: the beginning of the end of retail trading. As you advance on these paths you'll face more regulations with the more privileges and reductions of margin you get. The further you go down these paths the less trading is "retail" and becomes more "professional."For instance - being on Portfolio Margin at TD Ameritrade they expect you to know the house rules, the Short Unit Test, Point of No Return rules (PNR), and so on. They're friendly to talk you through it and explain it of course. The whole idea though is with greater margin/leverage/risk comes greater responsibilities.
I've separated the two career paths into the "less regulated path" - this is blending still largely retail trading (your option orders will still be marked non professional) but expectations to complying with the above frameworks and not giving your broker a heart attack, to the more regulated path where you have licensing requirements, exams, tests and if you fuck up its much easier for fines/exchange censures/etc.
Of course - you can stick to regular portfolio margin! Many people can and do. I just haven't seen any post like this anywhere on Reddit OR the internet at all. I want to share with you all!
The Less Regulated Path
Prime Brokerage Account Unlock Requirement: Maintaining $500,000 net liquidation at all times What Brokers Like to See: $1m+ (so you can survive a 50% drawdown.)On the less regulated path this is obtaining a prime-brokerage account. If you're able to maintain $500k net-liq (per OCC overnight values) by the close of each trading day you unlock some major major benefits. The biggest benefits getting a prime brokerage account is:
- Allowed to execute away from your broker. You're still bound to PDT rules at $500k.
- Execution quality improvements - being allowed to execute away lets you connect directly to an exchange or send trades to multiple brokers!
- Since you can execute with multiple brokers - you can locate hard to borrow shares with different brokers. Execute short sells at IBKR, TDA, and others who have short inventory, etc!
- Possible access to dark pools/block trades.
- Access to better order types (Sadly enabling "advanced features" for PM at TDA gets rid of FOK - fill or kill!)
- Networking - Capital Introduction if you want to raise money to start a hedge fund.
Different prime brokers might have much better locates available than what TD Ameritrade has if you're a short seller. If you have a really profitable options trading strategy but are annoyed that TOS seems to take 1-2 seconds to route your orders - you can find a good Direct Market Access broker that is already colo-located with the exchange you like to trade.
You might also get some extra margin relief vs TD Ameritrade gives you.
Regulation issues you might face at this level:
- If you want to execute away at $500k - $5m - you have to provide a real time drop file of your trades, or use a broker that does so to ensure you don't violate PDT rules.
- Might have very specific custom agreements. Might need to retain legal advice if its your first time!
- If you prime-broker with Goldman Sachs they make you apply a value-at-risk stress test to your portfolio.
- If your software directly connects with an exchange they have specific testing requirements that you might have to hire a consultant for. You're also going to have to sign and agree to exchange requirements/rules/procedures vs being a retail trader who the broker is supposed to know most of this.
- TONS of regulations if you want to start a hedge fund and invest OPM - other people's money.
This is the grand-daddy prime brokerage account. At this level the handcuffs come off. You can do anything a hedge fund can do. The options are endless:
- Get full TIMS margin. Lightspeed offers that for $5m+ - No additional 20% of exchange mandated portfolio margin requirement
- PDT rules don't apply to $5m+ prime brokerage accounts. Go nuts making large day trades. Must close above $5m each day.
- If you want to self clear - you get access to STANS margin (lets you offset risk with futures positions.)
- Definitely full access to any dark pools and block trading at this level. Have nuts placing a buy order of 200,000 of MSFT, getting the average price of the last 5 minutes of retail trades, and your 200k share buy doesn't affect the market until after the print of the trade.
- You have the same trading privileges of any hedge fund - so you can start one yourself if you want to!
- You might be subject to Large Trader Reporting - essentially the SEC will review all of your trades if you trade 2 million shares or $20 million in a day, or 20 million shares/$200 million in a month. Easy to cross this threshold if you hit $5m with a 4x PDT strategy!
- Did you know options have position limits? Some are as low as 25,000 contracts!
- If you self clear - tons of regulations!
- If you use dark pools - tons of regulations on how you access and use these systems. HFT firms get kicked out all the time by abusing stuff like sending FOK orders to probe dark pool liquidity... then get invited back as they were actually helping with liquidity... then getting kicked off again as they front-ran the limbering institutional inside there too much.
- If you start a hedge fund and take other peoples' money - shit ton of regulations. Good luck!
- If you hire other traders - make sure they don't start spoofing or creating manipulative trades on behalf of your firm! Now you have to conduct your own surveillance activities.
The More Regulated Path
Did you know Portfolio Margin existed for Clearing Firm members in 1986? Did you know you could have traded on Portfolio Margin as early as ~1994 if you got floor access to the various exchange trading floors? At the time it was called risk based haircuts. Portfolio Margin evolved to give retail the same advantages and risks that Floor Traders and Floor Brokers have been enjoying for years and years!All the steps here on this path require licensing - full stop. Licensing requires a lot of study, regulations, background checks, a moral and ethical code, good moral character, possible restrictions on trading in your own accounts, possible restrictions on strategies, leverage controls, risk management, and so on. You'll be registering with a ton of regulatory bodies (the SEC, FINRA, Exchanges, SIPC, etc) depending on what you want to do. From this point you'll be paying pro data fees for your home account, pro data fees for anything else, etc.
At this level - you are beginning to be treated less as an individual and more as a firm the more you progress.
The benefits are mentorship, community, organization, learning from people who have done it before you, and so on.
This guide will cover the Net Capital Rules
Proprietary Trading Requirements: $0 to $50k+
So, I debated mentioning prop trading or not. Most shops suck ass and stick traders to reg-t limits with risk controls. However in my interview circuit one VERY REPUTIABLE firm was willing to let me have PM at $50k with my money gone first with haircuts, 1 year before I could withdraw my deposit. They didn't allow ANYONE to trade options but they reviewed my brokerage statements and felt safe with me given my track record/so on. I decided against it as they wanted a 80/20 split where they'd take 20% profit. Secondly - risk controls seemed too great for me. Third - wanted monthly reports on the strategy while equity traders were 100% discretionary with no reports. They offered up to 10x leverage for equities, and 30x with written permission for stuff like merg-arb.
Pros:
- Quickest route to actual leverage past reg-t limits without having $ for PM.
- Possibly K-1 or 1099. If 1099 it's self employment income allowing you to contribute to a solo 401k. If it's k1 its pass-through cap gains. The firm that offered me PM was cap-gains.
- Mentorship.
- Charges a ton for trade fees (huge markup over IBKR, clearly a profit center for them), software fees (huge markup over IBKR), pro data fees (another markup), and so on. I'd say 2x.
- Questionable how profitable you'd be with 2x markup on everything.
- Licensing - 1 or more series licenses as you're trading other peoples money (firm money). At this level though you're going to be mentored like crazy, risk monitored like crazy, and subject to real risk controls.
This was the OG portfolio margin back in the day. Get your various series licenses, pass a written and oral exam, and you get to trade on the floor, with all the leverage available to you. What is the difference between a floor trader and a floor broker? A floor trader trades for his own account. A floor broker trades for other peoples' accounts.
Pros:
- MAJOR Tax Advantages. Owning/Leasing a seat on an options exchange makes your option trades 60/40 long-term/short term capital gains tax with NO wash sales.
- Before retail-PM came about in 2007 this was the ONLY way to get Portfolio Margin like relief. If you're ever in a time traveling situation now you know how to get PM if you've found yourself in the past.
- Besides tax advantages - The biggest thing you get today being a floor trader is access:
- Access to dark pool systems much quicker than $500k/$5m above retail-prime-brokerage cutoffs.
- Access to placing orders directly on exchanges much quicker than $500k/$5m cutoffs.
- Access to upstairs liquidity providers - if you're trading 1,000 contracts you can get some quotes on a bid and ask for both sides from other floor brokers/floor traders, possibly better pricing than the electronic markets.
- Access to other professionals - sharing an office, and so on.
- Floor Broker: Get paid to run other peoples accounts/trade on their behalf for commission/fees/etc.
- Marked "floor" for option orders. (yup there's actually 3 markings of trades! retail, professional, and floor!)
- Have to buy/lease a seat. Expensive $$$
- Approved software that interacts with exchanges is expensive. $$$
- Writing your own software has testing requirements that's less expensive. $
- Have to get licensed/take tests. Floor trader = way less regulations (CBOE manual goes back and forth on requiring a floor TRADER to have a series license since they're trading their own account - might have to phone call them.)
- In a professional environment - I'm not sure what the mentorship is like for a floor trader vs the MM route. My gut feeling its more swimming on your own.
- Subject to exchange fines.
- In the past physical presence was required - you had to physically trade on the floor. I'm not sure how it is today post covid if it's still the same if you go this route. CBOE appears to be relaxing the requirement for floor presence, especially if you trade your own account. YMMV with other exchanges (nasdaq, NYSE, etc.)
- You've taken professional tests. You've paid professional dues. You've gotten professional tax advantages. You'll be upheld to much more regulations than a retail WSBer spinning $100k in a PM account.
- Significant regulations if you go the floor broker route. Floor trader is mostly regulations around system access and so on since you're trading your own account.
Market Maker Requirements: Maintaining $250,000 net liquidation at all times What brokers like to see: $500k+ (survive 50% drawdown)
So for $250k you can get PM and be an actual Market Maker in options or equities! Yup, for that low of $250k! Robert Morse covers a crap ton of market maker advantages that are just crazy! I'll post these here and add on my own:
- Option Market Makers income is 60% capital gain/40% short term (same as a floor trader.)
- Option Market Makers are taxed based on MTM with no wash sales (same as a floor trader.)
- Option Market Makers do not require a located on HTB stocks to sell short-customers do.
- Option Market Makers are not required to tag bid/offers as open/close-customers must.
- Option Market Makers get market maker margin which is better than Portfolio Margin
- Option Market Makers can change many bids/offer with a single message-non-members have to cancel/replace each order
- Inspect the order book! Yup! Market Makers get to see the entire order book - hidden orders, firm flags (IBKR orders, TD Ameritrade orders), professional status of the order (retail, professional, floor), Order Flags("Buy to close vs Buy to Open) and so on. Yes Market Makers can tell the difference between a Robinhood Order, a TD Ameritrade Order, and an IBKR Order!
- Inspect the Complex Order Book (COB) - Now you can see all the resting spreads. Feel free to pick off the profitable spreads!
- Send responses to Price Improvement Auctions. Did you know Price Improvement Auctions actually ping market makers asking them to submit a bid or an offer?
- Still have the ability to trade for other firms like prop-trading. You can join a Designated Primary Market Maker like Citadel and market-make under them with your $250k net-liq market-making permit.
- Have the ability to respond to flash orders. Market Makers get to see orders for 50 ms before the public do for orders routed to the CBOE Exchange. The SEC Banned Flash Orders in 2009 but if we look at the CBOE's Step-Up Mechanism we see flash orders are alive and well on options exchanges! "Cboe SUM Auctions provide execution opportunity by exposing marketable orders prior to (1) routing to an away market, (2) canceling an order back or (3) booking the order on the Exchange. The period of time the SUM Auction order will be exposed is 50 ms."
- Buy or lease a seat on the exchange you want to Market Make.
- Expensive. Professional accounting REQUIRED - $1k - $1.5k/mo.
- Market-Making software is rare like Actant Quote - $3.5k/mo
- Probably $12k/mo in business expenses all-in given all the regulations, clearing, etc.
- Subject to exchange fines.
- Delta hedging required/strongly suggested at these low levels.
- Restricted from Acting as a Market Maker and Floor Broker(Trader) in Same Security/Related Securities in the Same Business Day.
- Need broker-dealer licensing. Full stop - from here on you're fully licensed and subject to a lot more red tape.
- You're treated as a firm. Even if it's all just you as a sole-proprietorship - this is the end of individual trading. From here on you are now a firm.
- Required to have your books and records open to inspection of the exchanges you market-make with. Yup - the exchanges get to inspect all your accounting and every trade/order!
- Need professional accounting - see above why.
- Subject to quoting requirements. At this level you are told by your Lead or Designated Market Maker which options and series to quote per the exchange rulebook's time and series quoting requirements. For instance if you join CBOE they require 90% of time and 60% of series (strikes) for quoting options. If you join NYSE they are much more relaxed - 60% of time of quoting and no % of series requirements.
- Firewall Requirements - if your firm also does prop trading they CANNOT know about the market-making sides. Imagine the advantage it gives knowing the order book. It's such an issue that Madoff hid his ponzi scheme for years by successfully misleading the SEC by making them think there was a firewall leak between his legit market-making side of his firm and his legit prop-side of the firm.
- "Except under unusual circumstances and with the prior permission of a Floor Official, no Trading Permit Holder shall, on the same business day, act as a Market-Maker and also act as a Floor Broker (i) with respect to option contracts traded at a given station, or (ii) in any security determined by the Exchange to be related to such a security."
- Market Making at this level feels more like prop-trading in that there is mentorship but you're trading your own capital and not other peoples' capital but it's also very competitive. Exchange rulebooks require competition between Market Makers.
Pros:
- Get to quote more stocks/option classes
- Possibly boss around Market Makers if you're trading for a Designated Primary Market Maker like Citadel?
- Nothing I can think of much that wasn't already covered.
Designated Primary Market Maker Requirements: Maintaining $7,000,000 net liquidation at all times
Formerly known as a specialist - You're now swimming with the big boys - Citadel and the like. Achieving this level means you are the official market maker for one or more stocks with the exchange(s) you have a seat on. If you're doing equities - you are the point of contact for your stock. You're the point of contact for the options or the stock for the exchange it is listed on.
For options I'm still really in the dark as to what level this gives you in terms of advantages over better selection of stocks and so on to market make in.
Pros:
- Corner the market... literally on your exchange, per CBOE C1 Rulebook: "Only one DPM may be appointed per class."
- Ability to participate in payment for order flow. Given your size brokers will be happy to sign PFOF agreements.
- Huge advantages for equity traders being the source of liquidity. I'm not sure on the options side vs what we already covered above.
- At the $7m level it looks like it's possible that delta hedging isn't required, given SIG recently getting in trouble for violating option position limits. Either way - they used market-making to build up speculative positions instead of delta hedging them.
- You can obtain Market-Making permits and hire individual market makers to help you make markets.
- Better be careful what you pick to be a DPM of: "A DPM's allocation in an option class or group of classes is non-transferable unless approved by the Exchange."
- SEC just nuked Payment for Order Flow.
This is the final career path in the more regulated side. If your trading edge has died and you can't mine the gold yourself, you still can sell the pick axes and shovels. FINRA requires $100k of net capital and licensing, and your state(s) might require more. The same Floor Broker stuff we talked about. If you're tired of all the options available in brokers - slow routing, bad APIs, etc, you can say hit up Interactive Brokers and mark up their fees by 15x if you have some new innovative take on being a broker and can attract a ton of client accounts and so forth:
Client markups by introducing brokers are limited to 15 times IBKR's highest tiered rate plus external fees.
This last section is talking about opening up another Robinhood/TD Ameritrade brokerage business, etc for the Public. You can already privately trade on PM for a lot less as a regulated floor broker.
Pros:
- Opening a brokerage business TO THE PUBLIC - to allow the public to place trades, instead of trading on behalf of other people.
- Possibly get lots of passive income from non-invested money, lending out shares to short, fee markups/etc.
- Entrepreneurs dream. Robinhood started off with an app and broke huge ground.
- Quick to start off by being an Introducing Broker. Basically resell IBKR or Lightspeed services but with your own website/branding/functionality.
- Red tape galore - lots of legalities, licensing, even more than all the above career paths as now you're openly advertising a brokerage website/services to the PUBLIC.
- Full on business - end of discussion.
- Probably going to need lots of employees to help you with everything.
- Probably need a lot more than the minimum FINA capital requirements realistically.
- Not for the faint of the heart.
Pros:
- Your customers now can gamble on Reg-T margined Options by placing their own trades.
- It's your money at line if your customers blow up and you can't recover your customers assets.
- By allowing options trading - you become a member of the OCC - Options Clearing Corporation, which backs all option contracts. Legally the OCC is the buyer and seller of all options and they guarantee the performance if an individual busts an account. You might have OCC member payments due if another brokerage goes bankrupt to ensure the integrity of the options clearing corporation.
Requirements: Maintaining $25,000,000 net liquidation at all times AFTER RISK BASED HAIRCUTS - ie a brokerage firm has to have $25m AFTER the SPX drops 20%!
Pros:
- Your customers can now have PM! If ya'll don't like the current offerings of TDA, Charles Scwhab, etc., if you can collectively get $25m together for a firm we can start a new PM Traders Brokerage.
- You're required to pass the SPX Beta Test as a brokerage firm and also if you want to be a TPH (Trading Permit Holder) of CBOE - you're required to pass that with +40% vix levels too! Now you know why TDA is on our butts about passing the SPX Beta Test as they collectively have to pass as well per exchange rules!
- Capital Calls - Biggest issue I've found for brokers offering PM is if your equity falls due to your customers' trading - you have to get more equity within 5 business days for each million you're under $25m. That means you will be having to establish credit lines with Goldman Sachs and the like to fund these additional capital calls. More risky your PM customers are = more credit you have to borrow from the investment bankers. This equity is based off your biggest loss - most likely a 20% downward move in SPX.
- $1m equity per PM customer at max loss on TIMS. In addition to $25m firm equity - each PM customer that signs up requires you to get $1m of equity per PM account - may be drawn as a line of credit as well. So if you have a PM customer with $2.5m equity but they're looking at a $5m total loss on a 20% down move on SPX, you'll need to match $3m of your own money to that account (rounded up to nearest $1m.) This is also due within 5 days of risk breach. This explains Lightspeed's Maximum Dollar Risk Rules
- If your retail customers blow up a PM account and you can't recover funds from them - your own money is at risk.
Prime Brokers List
Here's a list of Prime Brokers, in no particular order:- Lightspeed (also has PM) - https://lightspeed.com/institutional-services/prime-brokerage
- Bank of America Merrill Lynch - ML Prime - https://markets.ml.com/login/mlprime
- DASH (also offers PM) - https://dashprime.com/
- Goldman Sachs - https://www.goldmansachs.com/what-we-do/FICC-and-equities/prime-services/index.html
- Interactive Brokers - https://www.interactivebrokers.com/en/trading/prime-broker-services.php
- Morgan Stanley Matrix (might also offer PM) - https://www.morganstanley.com/matrixvision/
Execution Providers List
Here is a list of Execution Providers - broker-dealers that you can execute away trades with for more efficiency without being a member of an exchange yourself:- Matrix Executions - https://www.matrixexecutions.com/
- Trading Technologies - https://www.tradingtechnologies.com/
Summary
I have covered the whole spectrum of career advances past Portfolio Margin. Just like retail trading went cash -> margin -> options margin -> pattern day trader -> portfolio margin. I've unlocked three new career paths in the market should you choose to pursue them with your trading gains.Individual Trading:
- $50k - Prop Shops might allow you to have PM at this level.
- $100k - Floor TradeBroker OG Portfolio Margin Account
- $125k - Retail PM Account
- $500k - Prime Brokerage Unlocked
- $5m - Prime Brokerage Unleashed
- $250k - Options/Individual Stocks Market Making with PM. Can Market-Make for a DPM
- $1m - Lead Market Maker - Slightly Better Market Making?
- $7m - Designated Primary Market Maker - Citadel Level of Market Making
- $100k - Floor Broker OG PM Account (PM trades on behalf of others)/Introducing Brokers (equity only)
- $1m - Offer Reg-T Options Trading to your customers to place their own trades
- $25m - Offer PM Trading to your customers to place their own PM margin trades
Of course, just because the regulations lets you start a prime broker account at $500k, market making at $250k, or a full on brokerage offering PM at $25m, remember these are the minimums. Suffer a $1 loss and it's a margin call, wire in more funds or you have to stop doing that activity! I'd recommend at least doubling the above figures if you want to be self-sufficient in it and survive typical 2008 era drawdowns:
$1m for realistically exploring prime-broker services $10m for prime-brokers unleashed
$500k to start market-making $14m-$20m if you want to join HFT firms.
$50m - $100m if you want to start a new brokerage firm and offer portfolio margin.
Sources
FINRA Portfolio Margin FAQFINRA Net Capital Rules
CBOE C1 Exchange Rulebook
CBOE Market Making Program
2023.01.03 14:09 arrduke Attn: Spectrum customers without internet service
First, like many others have done, call customer service to get enrolled to get credit for outages > 4 hours. Not sure if it's automatic but they did offer to enroll me when I called.
Next, there are spectrum wifi access points throughout the city that you can connect using your Spectrum login. I'm not sure if you can connect without it. With a widespread outage, I'm not sure if these APs are even up but it might be worth a try.
Here is an info on Spectrum WiFi Access Points with a list and map.
submitted by arrduke to Reno [link] [comments]
Next, there are spectrum wifi access points throughout the city that you can connect using your Spectrum login. I'm not sure if you can connect without it. With a widespread outage, I'm not sure if these APs are even up but it might be worth a try.
Here is an info on Spectrum WiFi Access Points with a list and map.
2022.12.27 09:50 Aini-RR-Email3 How to Fix Time Warner Cable Email Login Issues?
TWC mail is an easy-to-use messaging system With TWC Mail to check your email from any computer Use your Time Warner Cable Email address connect with business partners.
Features of Roadrunner Email
- It has a user-friendly interface
- It sorts the email automatically
- It offers an online address directory
- It provides an online address book
- It is easy to configure an RR Email account with other email providers
- It protects against viruses
- It has a great message storage feature
- Roadrunner Email offers services free of cost
ü The most important thing to keep in mind is that the rr.com and TWC mail websites are no longer being used. The only way to log in now is through the spectrum email login page.
ü Make sure that the login information you put in is correct. Enter the password carefully and make sure that CAPS LOCK is turned off.
ü There is a chance that the server of the spectrum will have issues on its own.
ü Use a different web browser or the incognito or private tabs to log in to your Time Warner email.
ü Clear the browser's cookies and caches and restart it to sign in to your TWC email account.
There may be times when you need to call Roadrunner or TWC customer service to fix problems with your TWC email login.
There are a lot of websites that show fake TWC phone numbers.
You can avoid the phone number scam by talking to the roadrunner through live chat or emails instead.
Some of your questions might already be answered on the official website's spectrum support pages.
Read for more info: http://www.roadrunner.support/time-warner-cable-email-support/
submitted by Aini-RR-Email3 to u/Aini-RR-Email3 [link] [comments]
Features of Roadrunner Email
- It has a user-friendly interface
- It sorts the email automatically
- It offers an online address directory
- It provides an online address book
- It is easy to configure an RR Email account with other email providers
- It protects against viruses
- It has a great message storage feature
- Roadrunner Email offers services free of cost
Steps For Time Warner Email Login
Here are the steps for the time warner cable email login. Follow them and you can easily log in to your email accounts:- Visit the official page of TWC by typing twcc.com in the address bar. After typing this, you will land on a new page.
- Enter your username and password to your roadrunner email, which is created by you while signing up. Enter the password and email address generated during the signup procedure.
- Save the login information in your browser for future purposes.
- The Time Warner cable login can also be easily accessed by the spectrum login.
How to Log in to the Roadrunner or Twc Email Login
You can use the following link for Time Warner Cable Email Login – https://www.spectrum.net/login.- Here you need to enter your login credentials to log in to the master account.
- Click on the sign-in button shown on the page. You can access your account using the username and password.
- The email inbox can be checked when you click on the mail icon that is present in the top corner.
- Here, the login page for the webmail is present that is similar to the webpage which was used earlier for the login of the Time warner email login.
Time Warner Cable Email Login Problems
ü First, make sure that both the internet connection and the wifi connection are working properly. You can see if this is true by going to a different website.ü The most important thing to keep in mind is that the rr.com and TWC mail websites are no longer being used. The only way to log in now is through the spectrum email login page.
ü Make sure that the login information you put in is correct. Enter the password carefully and make sure that CAPS LOCK is turned off.
ü There is a chance that the server of the spectrum will have issues on its own.
ü Use a different web browser or the incognito or private tabs to log in to your Time Warner email.
ü Clear the browser's cookies and caches and restart it to sign in to your TWC email account.
TWC or Roadrunner Customer Support
You simply need to search out expert help. Contact Roadrunner Email Customer Support by dialing the time warner cable email support. A team of experts is ready to help you with any problems you may have with Spectrum Email Services at any time of the day or night. Some of the reasons and benefits of the roadrunner support are as follows:There may be times when you need to call Roadrunner or TWC customer service to fix problems with your TWC email login.
There are a lot of websites that show fake TWC phone numbers.
You can avoid the phone number scam by talking to the roadrunner through live chat or emails instead.
Some of your questions might already be answered on the official website's spectrum support pages.
Read for more info: http://www.roadrunner.support/time-warner-cable-email-support/
2022.11.27 23:07 rfgenerator Spectrum Website outage
It appears that Spectrum is suffering a major outage of their web login (access for billing) for the last 24 hours. I and others have not been able to log into the spectrum.net website. I called support and found that they didn't recognize my phone number. When I finally got through to someone they said that they were aware of the outage and that it's been going on for about 24 hours. Seems very possible that Spectrum screwed the pooch on some sort of software update. I asked if their was an ETA on resolution and was told there is not one.
submitted by rfgenerator to Spectrum [link] [comments]
2022.11.23 12:05 NotEnoughPotions Home wifi suddenly phone says insecure
Edit: bill hadn't been paid and something messed up in redirecting to spectrum, so all is good now
My internet went down for a few moments and now my phone pops up saying I need to sign in (never happened before) and when I click on the notification I get
My router is Netgear r6300v2
Edit:
After clicking continue anyways it says
submitted by NotEnoughPotions to techsupport [link] [comments]
My internet went down for a few moments and now my phone pops up saying I need to sign in (never happened before) and when I click on the notification I get
The network you're trying to join has security issues. For example, the login page may not belong to the organization shown. CONTINUE ANYWAY VIA BROWSER VIEW CERTIFICATE"I can't do anything with wifi now even when I hit continue anyways, it launches up with spectrums website but the browser won't connect due to wifi being "insecure". This is my home wifi and this has never happened before. What do I do?
My router is Netgear r6300v2
Edit:
After clicking continue anyways it says
Your connection is not private
Attackers might be trying to steal your information from www.spectrum.net (for example, passwords, messages, or credit cards). Learn more
NET::ERR_CERT_AUTHORITY_INVALID
2022.11.23 08:16 easetolearn_official DRDO-CEPTAM Exam 2022 DRDO-CEPTEM Notification Online Free Mock Test Online Free Test Series -EaseToLearn
DRDO-CEPTAM Exam 2022 DRDO-CEPTEM Notification
DRDO-CEPTAM 202 DRDO-CEPTAM Exam Details 2022 2022 Free Mock Test Papers Online Free Test SeriesOnline Preparation Practice Set For Preparation DRDO CEPTEM Applications Forms 2022 DRDO CEPTEM SyllabusName of Post- DRDO CEPTAM 10 Admin & Allied (A&A) Recruitment 2022 Apply Online for 1061 Various Post
Defense Research and Development Organisation (DRDO) is working under the Ministry of Defence, Government of India and is responsible for the Research & Development of state-of-the-art battle fields systems required by Nations forces viz. Army, Navy & Air Force. It has more than 60 laboratories spread over the country which are working in diversified research areas across the spectrum of scienceImportant Date
Notification Issued - 27 October 2022Online Application Start - 7 November 2022
Last Date For Apply Online - 7 December 2022
Last Date For Fee Payment - 7 December 2022
Admit Card - To Be Announced
DRDO CEPTAM CBT 1 Exam Dates - To Be Announced
Application Fee :
General / OBC / EWS: 100/-SC / ST / PH: Nill
All Women candidates: Nill
Pay the Examination Fee Through Online Debit Card, Net Banking Fee Mode, or Pay Through E Challan Only
DRDO CEPTAM ADMIT CARD [TIER-I & TIER-II (CBT):-
The admit card for the examination will be published on the website later. The date, time & venue of the examination will be given on admit card. The e-admit cards will be available on our website (https://www.drdo.gov.in) for download/print, preferably 02 weeks prior to the examination. Admit cards will not be sent by post.DRDO CEPTAM 10 A&A Recruitment 2022 Age Limit as on 07/12/2022
Minimum Age: 18 Years.Maximum Age: 27 Years. for All Other Post
Maximum Age: 30 Years for Post Code: 0301 & 0401 Only
Age Relaxation Extra as per DRDO CEPTAM 10 A&A Recruitment Rules.
DRDO CEPTAM 10 A&A Vacancy Details 2022 Total 1061 Post
Admin & Allied (A&A) Cadre Various PostUR- 679
OBC- 204
EWS - 67
SC-71
ST- 40
Total - 1061
DRDO CEPTAM 10 Admin & Allied (A&A) Eligibility Details 2022
Code -301Post Name- Junior Translation Officer (JTO)
Total Post - 33
DRDO CEPTAM 10 A&A Eligibility :
Master's Degree in English / Hindi with Hindi / English as Compulsory Subject in Degree Level OR
Master's Degree in Any Subject with Hindi as the Medium and English as a Compulsory Subject at Degree Level OR
Bachelor's Degree with Hindi and English as Main Subjects with a Diploma / Certificate in Translation from Hindi and English.
Code -0401
Post Name- Stenographer Grade-I (English Typing)
Total Post - 215
DRDO CEPTAM 10 A&A Eligibility :
Bachelor's Degree in Any Stream in Any Recognized University
Dictation: 10 Min @ 100 WPM
Transcription English: 40 Minutes
Code -501
Post Name- Stenographer Grade-II (English Typing)
Total Post - 123
DRDO CEPTAM 10 A&A Eligibility :
10+2 Intermediate Exam in Any Recognized Board
Dictation: 10 Min @ 80 WPM
Transcription English: 50 Minutes
Code - 601
Post Name- Administrative Assistant ‘A’ (English Typing)
Total Post - 250
DRDO CEPTAM 10 A&A Eligibility :
10+2 Intermediate Exam in Any Recognized Board
English Typing: 35 Word Per Minute
Code - 602
Post Name- Administrative Assistant ‘A’ (Hindi Typing
Total Post - 12
DRDO CEPTAM 10 A&A Eligibility :
10+2 Intermediate Exam in Any Recognized Board
English Typing: 30 Word Per Minute
Code - 701
Post Name- Store Assistant ‘A’ (English Typing)
Total Post - 134
DRDO CEPTAM 10 A&A Eligibility :
10+2 Intermediate Exam in Any Recognized Board
English Typing: 35 Word Per Minute
Code - 702
Post Name- Store Assistant ‘A’ (Hindi Typing)
Total Post - 4
DRDO CEPTAM 10 A&A Eligibility :
10+2 Intermediate Exam in Any Recognized Board
English Typing: 30 Word Per Minute
Code - 0801
Post Name- Security Assistant ‘A’
Total Post - 41
DRDO CEPTAM 10 A&A Eligibility :
10+2 Intermediate Exam in Any Recognized Board.
EX Serviceman.
Code - 0901
Post Name- Vehicle Operator ‘A’
Total Post - 145
DRDO CEPTAM 10 A&A Eligibility :
Class 10th Matric Exam Passed with Valid Driving License and 3 Year Experience
Code - 1001
Post Name- Fire Engine Driver ‘A’
Total Post - 18
DRDO CEPTAM 10 A&A Eligibility :
Class 10th Matric Exam Passed with Valid Driving License.
Code - 1101
Post Name- Fireman
Total Post - 86
DRDO CEPTAM 10 A&A Eligibility :
Class 10th Matric Exam Passed in Any Recognized Board
Pay Scale Post-Wise
Post Name PAY SCALEJunior Translation Officer (JTO) - Pay Level-6 (Rs 35400-112400)
Stenographer Grade-I (English Typing) - Pay Level-6 (Rs 35400-112400)
Stenographer Grade-II (English Typing) - Pay Level-4 (Rs 25500-81100)
Administrative Assistant ‘A’ (English Typing) - Pay Level-2 (Rs 19900-63200)
Administrative Assistant ‘A’ (Hindi Typing) - Pay Level-2 (Rs 19900-63200)
Store Assistant ‘A’ (English Typing) - Pay Level-2 (Rs 19900-63200)
Store Assistant ‘A’ (Hindi Typing) - Pay Level-2 (Rs 19900-63200)
Security Assistant ‘A’ - Pay Level-2 (Rs 19900-63200)
Vehicle Operator ‘A’ - Pay Level-2 (Rs 19900-63200)
Fire Engine Driver ‘A’ - Pay Level-2 (Rs 19900-63200)
Fireman - Pay Level-2 (Rs 19900-63200)
For Information
Cick here: www.easetolearn.in