QTPyLib, Pythonic Algorithmic Trading
Python Crypto Bot (PyCryptoBot)
GPU-accelerated Factors analysis library and Backtester
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.
Backtester for evaluating options and equity portfolio strategies over historical data. Includes tools for strategy sweeps, tail-risk hedge analysis, and signal-based timing research.
Backtesting framework for modern option strategies
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
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.
QuantJourney Backtester
tiny backtester to backtest generated signals
Stock trading strategy back-tester
Trading strategy backtesting framework supporting multiple concurrent sessions, complex exit strategies, and multi-exchange data sources with simple Python implementation
A stock market back-tester for algorithmic trading built in Python.
A trading bot for Bybit utilising APScheduler
Add a description, image, and links to the backtester topic page so that developers can more easily learn about it.
To associate your repository with the backtester topic, visit your repo's landing page and select "manage topics."