nba_api
td-ameritrade-python-api
| nba_api | td-ameritrade-python-api | |
|---|---|---|
| 55 | 13 | |
| 2,249 | 683 | |
| - | - | |
| 7.1 | 0.0 | |
| 21 days ago | 12 months ago | |
| Python | Python | |
| MIT License | MIT License |
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nba_api
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An Analysis of How Chris Paul Has Affected His Teams (And How It May Impact the Warriors)
Thanks to the people putting together the open source nba_api, as well as the people at Basketball Reference and the NBA stats page.
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Stat Changes from Regular Season to Playoffs: 2022 - 2023 Season
NBA Stats API
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Scott Foster gets cracked in the face by Lebron. And Foster has his whistle in his mouth when it happens.
Yea ref stuff is hard to acquire. NBA api could b helpful tho and this is prob a good place to start
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NBA Game IDs to Playoff Game Numbers
I think you'll find this useful: https://github.com/swar/nba_api.
- Experiences with the different nba.com APIs? Which one would you recommend for play-by-play data to calculate player-specific ORtg or DRtg in a game?
- Don't have much experience using APIs, I'm trying to use one but do not know how to get it set up properly
- Trying to use an API in Python but I don't know how to set it up properly. Can I get some help?
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[OC] How does playoff basketball differ from the regular season? Analyzing team stats over the past 40 seasons
All data were collected using the nba_api. The dataset consists of per-game stat averages for all teams starting from the 1983-84 season through the 2021-22 season. In total: 1103 regular season teams, 624 of which made the playoffs in their respective years. Traditional stats include: PTS, FGM, FGA, FG_PCT, FG3M, FG3A, FG3_PCT, FTM, FTA, FT_PCT, OREB, DREB, REB, AST, STL, BLK, TOV, PF, PLUS_MINUS. Advanced stats include: NET_RATING, OFF_RATING, DEF_RATING, EFG_PCT, TS_PCT, PACE, OREB_PCT, DREB_PCT, REB_PCT, AST_PCT, AST_TO, AST_RATIO, TM_TOV_PCT. Note: for plus/minus and all of the advanced stats, I could only get data beginning from the 1997-98 season onwards, which resulted in 743 total regular season teams, 400 of which made the playoffs.
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Downloading stats from nba.com/stats
Is it not on the nba api? https://github.com/swar/nba_api/tree/master/docs/nba_api/stats/endpoints
- [Highlight] Poole gets a tech for passing the ball to the ref
td-ameritrade-python-api
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Tips/tricks for building an algorithm (beginner).
i use this for accessing td's api https://github.com/areed1192/td-ameritrade-python-api
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Autotrading based on TOS strategies?
I recently got TD's API setup on Python, I recommend following this guide for getting auth setup correctly and this library for requests. I started at the "Getting Access" section and did not need to enable windows features, so I'd skip that.
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bot to automate TD Ameritrade transactions
sure, so set up an .env file with the following credentials I gave and follow the directions here to link your td developer account with your td ameritrade account https://github.com/areed1192/td-ameritrade-python-api
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ITTT (IF THIS THEN TRADE)
The second one is https://github.com/areed1192/td-ameritrade-python-api . His wrapper is easier to use IMO but like I said try both out and see which one works/is easier for you. The actual creator of the wrapper has videos at https://www.youtube.com/watch?v=8N1IxYXs4e8&list=RDCMUCBsTB02yO0QGwtlfiv5m25Q&index=4 .
- Algol trading?
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TD Ameritrade API not giving real-time quote data (with subscription and signed contracts)
Your problem is that you are passing TDA your apikey (consumer key) instead of an access token. The documentation says "Pass your OAuth User ID to make an unauthenticated request for delayed data" and that is what you are doing. You need to use either an access token or a refresh token. This whole OAuth token thing is a little complicated so I suggest using some code that is already working like this. I spent a week debugging my own code for OAuth and then found Alex's code and had it working in a few minutes. This is all I use now.
- Need help with code using TD Ameritrades options API
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Used ToS's RTD Function with Excel to Build a Live Working App that Pulls Live Market Data from the Exchanges and Crunches the Data Through My Algorithm. I Have Mastered the RTD Functions of ToS and Excel. Ask Me Questions About It. Now Looking to See if I Can Send ToS Trading Commands From Excel.
Here is one person's Github. You will want to watch the YouTube videos as well https://github.com/areed1192/td-ameritrade-python-api
- Advice for newbie
- TD API limit-order price accuracy
What are some alternatives?
nbastatR - NBA Stats API Wrapper and more for R
tda-api - A TD Ameritrade API client for Python. Includes historical data for equities and ETFs, options chains, streaming order book data, complex order construction, and more.
ImportJSON - Import JSON into Google Sheets, this library adds various ImportJSON functions to your spreadsheet
tdrade-bot - automated stock transactions based on tickers and percentages given for TD Ameritrade, also keeps track of and reinvests reserves as necessary
nba-stats-analysis - Jupyter Notebooks with Applications of Data Science and Analysis with NBA data, using the information available through the NBA Stats API.
pykrakenapi - A python implementation of the Kraken API.
Python-NSE-Option-Chain-Analyzer - The NSE has a website which displays the option chain in near real-time. This program retrieves this data from the NSE site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain and visually displays the trend in various indicators useful for Technical Analysis.
Options_Data_Science - Collecting, analyzing, visualizing & paper trading options market data
NBA-attendance-prediction - Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.
httpie - 🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
nba-sql - :basketball: An application to build an NBA database backed by MySQL, Postgres, or SQLite
simple-salesforce - A very simple Salesforce.com REST API client for Python