pykrakenapi
td-ameritrade-python-api
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pykrakenapi | td-ameritrade-python-api | |
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1 | 13 | |
223 | 683 | |
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5.7 | 0.0 | |
about 2 months ago | 11 months ago | |
Python | Python | |
GNU Lesser General Public License v3.0 only | MIT License |
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pykrakenapi
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Best way to DCA ADA?
In case you are still interested, I have now setup a simple Python Code based on this Kraken API wrapper: https://github.com/dominiktraxl/pykrakenapi
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?
python3-krakenex - REST Exchange API for Kraken.com, Python 3
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.
vvs-finance-profit-simulator - Script to find the best harvest interval for VVS Finance.
tdrade-bot - automated stock transactions based on tickers and percentages given for TD Ameritrade, also keeps track of and reinvests reserves as necessary
kraken_api_dca - If you're looking for a way to automate your regular crypto purchases via Kraken, you have come to the right place. The kraken_api_dca.py script allows you to specify orders in all trading pairs on Kraken. Just let your computer run the script at regular intervals and you have your automated Dollar-cost averaging bot.
nba_api - An API Client package to access the APIs for NBA.com
OctoBot - Open source crypto trading bot
Options_Data_Science - Collecting, analyzing, visualizing & paper trading options market data
sanic-currency-exchange-rates-api - This is a self hosted, free, open source Python Currency Exchange Rate API fork.
httpie - 🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
simple-salesforce - A very simple Salesforce.com REST API client for Python
nsepy - Python Library to get publicly available data on NSE website ie. stock quotes, historical data, live indices