QTPyLib, Pythonic Algorithmic Trading

Python Crypto Bot (PyCryptoBot)

Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more

GPU-accelerated Factors analysis library and Backtester

Easy to use backtrader UI

Option and stock backtester / live trader

Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentiment analysis.

Algorithmic trading infrastructure in Python.

Python based open source quantitative trading platform development framework

In this repository, an event-driven backtester is implemented based on QuantStart articles. The backtester is programmed in Python featuring numerous improvements, in terms of coding structure, data handling, and simple trading strategies.

Headline Sentiment Analysis Backtester. Backtests trading strategy from ai-trading-prototype trading bot.

Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM

tiny backtester to backtest generated signals

A quantitative trading strategy backtester with an interactive dashboard. Enables users to implement, test, and visualise trading strategies using historical market data, featuring customisable parameters and key performance metrics. Developed with Python and Polars.

Stock trading strategy back-tester

A stock market back-tester for algorithmic trading built in Python.

A trading bot for Bybit utilising APScheduler

Trading strategy backtesting framework supporting multiple concurrent sessions, complex exit strategies, and multi-exchange data sources with simple Python implementation

Backtesting Yield Estimator for Index&Stock Options. A tool for testing long-term option-based trading/investment strategies.

You can do Backtest for indicators of Tradingview using this python script.