#Trading-strategy
Showing 40 of 40 repositories tagged #trading-strategy, ranked by stars
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Common financial technical indicators implemented in Pandas.
HyperView is a terminal-first TradingView strategy lab for downloading market data, backtesting Python strategies with Pine-like behavior, and optimizing SL/TP parameters.
A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio
https://t.me/yeahrbb Automated cex option futures spot algorithm crypto quant binance bitget bybit kucoin trading bot binance trading bot binance trading bot binance trading bot binance trading bot binance trading bot binance trading bot binance trading bot binance trading bot binance trading bot binance trading bot binance trading bot binance bot
SimTradeLab is an open-source backtesting framework inspired by PTrade’s event-driven architecture. It features a lightweight, modular design and full syntax compatibility, enabling seamless strategy development and validation.
An API for backtesting trading strategies in JavaScript and TypeScript.
Documentation
An open source highly scalable platform for building cross asset execution orientated trading applications that can be easily deployed on-prem or in the cloud. Primarily written in Golang, with a Java FIX market simulator and React client.
Trade on options flow with Flowalgo and Alpaca
A .NET 10 WPF client and ASP.NET Core Web API platform for trading and running crypto currency pair strategies.
🤖 Open-source cryptocurrency trading bot designed to perform grid trading strategies using historical data for backtesting
Multi-agent macro trading bot: multi-factor stock scoring, momentum portfolio construction, backtesting vs SPY/Nasdaq, and live Alpaca execution.
Trading strategies on C#, Python and schema for StockSharp Designer
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
AI Trading Journal with a beautiful calendar to add/show your trades, add open/closed trades option, and AI reports based on your trading history
A bot to automatize the futures trading on Binance
AI agent skill for generating quantitative strategy code on JoinQuant platform - Cursor / Claude Code compatible
Crypto Trading Bot In Node.JS
Design your own Trading Strategy
AI-powered crypto perpetual futures trading bot for Hyperliquid DEX.
quantitative trading strategies including VIX Calculator, Pattern Recognition, Monte Carlo, Heikin-Ashi, Pair Trading
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.
Bitmex orderbooks saving + (neural) trading signal generator + backtesting etc.
Fcore Is a Framework for Financial Markets Analysis (In progress).
RaptorBT is a high-performance backtesting engine written in Rust with Python bindings via PyO3. It serves as a drop-in replacement for VectorBT, providing significant performance improvements while maintaining full metric parity.
Convert plain English trading ideas into bug-free, backtest-ready PineScript V5 code using GPT-4o. V5-native prompt architecture + post-generation syntax validator. Zero compile errors on paste.
A mathematical tool that analyzes 30-day historical volatility to output the mathematically perfect "Grid" settings for sideways markets.
Computational simulation framework for analyzing trading behavior in climate prediction markets
An AI-driven multi-agent trading platform for options trading and stock trends analysis. This project leverages advanced machine learning, real-time market data, and a modular multi-agent framework.
Collection of 3 quantitative finance projects in Python that uses algorithmic trading.
Hybrid Expert Advisor for Forex HFT using EMA/ADX signals and AI forecasts (XGBoost, RF, LSTM). Supports real-time trading and backtesting in MetaTrader 5.
🧠 Build adaptive algorithmic trading bots using machine learning and custom logic for MetaTrader 5 scalping and swing strategies.
High-performance scalping bot for MetaTrader 5 designed for 1-minute and 5-minute charts. Executes fast trades and optimized for short-term forex strategies.
Professional ORB Trading System - 25.7% Annual Returns (Aggressive Mode Default)
Open-source Freqtrade strategy from the TrendRider crypto bot. Live stats: trendrider.net/live
Financial market regime detection using Hidden Markov Models for adaptive trading strategies
Trading is the killer application of Web3. Citade-Sashimi enables the development of professional quant finance trading strategies for Sushi using Python scripting and Enzyme vaults.
You can do Backtest for indicators of Tradingview using this python script.
Open-source crypto trading strategy for Freqtrade. Multi-indicator confluence + hyperopt-tuned. Live performance public, every trade verifiable.