A library for financial options pricing written in Python.
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Updated
Nov 18, 2022 - Python
A library for financial options pricing written in Python.
A trading robot, that can submit basic orders in an automated fashion using the TD API.
Python interface to TD Ameritrade (https://developer.tdameritrade.com)
An easy and lightweight wrapper for using the Charles Schwab API.
Front-end library - with C, C++, Python, and Java interfaces - for the recently expanded TDAmeritrade API
A trading bot utilized on the TD Ameritrade platform written in python and utilizing tda-api API.
Basic python client implementation of TDAmeritrade API
Auto Trader automates stock option trading. The server uses a Discord bot to listen to stock option signals from preferred traders. Valid signals are parsed and placed into a storage bucket. The client listens to the storage bucket and places validated stock option trades with a brokerage account.
Web app with TD Ameritrade integration, backtesting, and automated live trading. Nodejs and Angular
Streaming order book data using TD Ameritrade API
react.js website that displays potential stock option profits
Unofficial TdAmeritrade API Library
This is a port/adaptation of the work of Alex Reed over to Schwab's version of the TDA Idividual Trader API.
Originally built for a client to automate trading signals.
This program helps you to get the best fills possible on Thinkorswim (at least better than TOS market orders)
One problem in trading is it involves many calculations sometimes. This automates that process for you and let you decide what matters.
Platforms to develop, test, and run stock trading strategies
Web application that allows you to test trades in the stock market without using any real money. Real-time market data is provided through TD Ameritrade's Websocket API. NOTE: Both the Yahoo and TD Ameritrade APIs used are currently unavailable, so the application might be broken. This project is no longer being maintained.
Sends a Text, an Email, and Updates a Google Sheet based on Finances during Market Hours
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