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Indicator TS delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
Start developing and backtesting your own automated trading strategies
Quantitative systematic trading strategy development and backtesting in Julia
Self-hosted AI trading strategy lab — paper trading, overnight strategy tournaments, 15+ technical indicators
Python API for accessing Lake high frequency tick trades & order book data
An open-source toolkit for quantitative analysis of crypto & stock markets, featuring an advanced market screener, portfolio backtester, and companion tools for the Gunbot trading bot.
Python algorithmic trading bot framework for Kubernetes: backtesting, hyperparameter optimization, 150+ technical analysis indicators (RSI, MACD, Bollinger Bands, ADX), portfolio management, PostgreSQL integration, Helm deployment, CronJob scheduling. Minimal overhead, production-ready, Yahoo Finance data.
This repository contains the source code and content for the website algotradinglib.com, focused on algorithmic trading and financial market analysis.
📚 MesoSim's Strategy Library
Fast, Transparent Backtesting
Sextant is a local Python Financial Backtest app with a Streamlit interface. The core is a strict bar-by-bar event loop (MarketEvent → SignalEvent → OrderEvent → FillEvent) — fully deterministic, with a complete JSON audit trail of every event.