py-tda-api 0.1.3

Backtest trading strategies in Python

Investment research for everyone, anywhere.

This python code example will show you how to use the ta python package to perform technical analysis on historical stock data such as RSI, SMA, Bollinger Bands, and Stochastic Oscillator.

Here’s a code example using the finplot library in Python to create a simple financial plot

get a Python list or download all publicly traded tickers

Download SEC filings from the EDGAR database using Python

A python client lirbary for the TD Ameritrade API.

The vectorbt library is a powerful tool for Python developers interested in financial analysis. It provides a fast and flexible platform for backtesting trading strategies, operating directly on pandas and NumPy objects and leveraging the speed of Numba for high-performance computations. This package is open-source and is widely used in the algorithmic trading community for quantitative analysis, strategy testing, and research.

Python module to get stock data from Yahoo! Finance