tdameritradejs
tdameritrade
tdameritradejs | tdameritrade | |
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2 | 3 | |
38 | 519 | |
- | - | |
0.0 | 6.3 | |
over 1 year ago | 3 months ago | |
JavaScript | Python | |
MIT License | Apache License 2.0 |
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tdameritradejs
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Creating an option finding algorithm, looking for input
Depends what language you're implementing in, but you don't need to start from the ground up. Lots of prebuilt libraries for the TDA API in a bunch of useful languages: - https://github.com/knicola/tdameritradejs - Node.js - https://github.com/joncooperworks/go-tdameritrade - Golang - https://github.com/alexgolec/tda-api - Python - Basically google any language plus "TDA API" and you're likely to find something.
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Best way to get EOD volume data just before market close?
TD Ameritrade's API provides a cumulative volume if you query for the daily historical price. There's libraries for both python (td-api or tdameritrade) and nodejs (@knicola/tdameritrade). To get the most up to date historical prices + volume, you should specify an end date in the future (ie. today's date + 1 day.)
tdameritrade
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Best way to get EOD volume data just before market close?
TD Ameritrade's API provides a cumulative volume if you query for the daily historical price. There's libraries for both python (td-api or tdameritrade) and nodejs (@knicola/tdameritrade). To get the most up to date historical prices + volume, you should specify an end date in the future (ie. today's date + 1 day.)
- End of the day Options Time and Sales Data from TDAmeritrade API
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TD API documentation
https://github.com/timkpaine/tdameritrade/issues/62#issue-596926302
What are some alternatives?
Mida - A JavaScript framework to easily operate in global financial markets.
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.
go-tdameritrade - go client for the tdameritrade api
qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
Stocksera - Finance application that provides more than 60 different alternative data to retail investors
zipline - Zipline, a Pythonic Algorithmic Trading Library
CryptoShare - Grade: 82%. My COMP3000 final year university project that allows you to manage nearly every facet of your finances with an open-source web, mobile, and desktop application, along with a self-hosted GraphQL API.
optlib - A library for financial options pricing written in Python.
pyEX - Python interface to IEX and IEX cloud APIs