Custom framework to be used for the development, testing, optimization, and live implementation of systematic trading strategies.
-
Updated
Aug 11, 2021 - Python
Custom framework to be used for the development, testing, optimization, and live implementation of systematic trading strategies.
AlgoTrading101 Blankly – Python Backtesting Guide
LLM-Based Quantitative Trading Python Library
You can do Backtest for indicators of Tradingview using this python script.
Backtesting Yield Estimator for Index&Stock Options. A tool for testing long-term option-based trading/investment strategies.
Trading strategy backtesting framework with focus on position adjustment in a session scope.
A trading bot for Bybit utilising APScheduler
A stock market back-tester for algorithmic trading built in Python.
All-in-one. Trading terminal with generic gateway implementation, tick backtester, charting, and performance evaluator for trading strategies.
Stock trading strategy back-tester
All-in-one. Trading terminal with generic gateway implementation, tick backtester, charting, and performance evaluator for trading strategies.
tiny backtester to backtest generated signals
poetiq - Platform O' Electronic Trading In Q
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.
Professional Backtesting Engine for crypto, stocks and forex
Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM
Fast and efficient method for testing Uniswap V3 LP Strategies
Automated Trader (at). This is a framework for building trading bots.
Python based open source quantitative trading platform development framework
Algorithmic trading infrastructure in Python.
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."