#Backtesting-trading-strategies
Showing 60 of 82 repositories tagged #backtesting-trading-strategies, ranked by stars
π π π π° Backtest trading strategies in Python.
Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books(Level-2 and Level-3), with real-world crypto trading examples for Binance and Bybit
π Get real-time stocks from TradingView
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Quantitative analysis, strategies and backtests
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Open-source Rust framework for building event-driven live-trading & backtesting systems
Python Crypto Bot (PyCryptoBot)
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Algorithmic trading framework for cryptocurrencies.
A nimble options research and backtesting library for Python
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
An extension for Nautilus Trader
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
Backtest and live trading in Python
Crypto trading bot using Binance API (Java)
An API for backtesting trading strategies in JavaScript and TypeScript.
Option and stock backtester / live trader
Extremely fast quantitative factor cleaning and backtesting library, based on Polars
An assistant for backtesting trading strategies and checking (showing) external signals in Tradingview implemented as a Chrome browser extension.
Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentiment analysis.
Batch backtest, import and strategy params optimalization for Gekko Trading Bot. With one command you will run any number of backtests.
Free trading system for crypto exchanges SPOT market. Adaptive customizable reverse grid strategy based on martingale.
Gekko Trading Bot dataset dumps. Ready to use and download history files in SQLite format.
π Optimizing the Elliott Wave Theory using genetic algorithms to forecast the financial markets.
Repository of demo strategies for the Blueshift platform
Quantitative systematic trading strategy development and backtesting in Julia
These are the code snippets used in the Backtrader for backtesting guide on the AlgoTrading101 website
Open source crypto trading platform to automate trading strategies.
Repository of PassivBot configurations, given by the community for public use.
Backtesting toolbox for trading strategies - DEPRECATED
Easy-to-use cryptocurrency trading strategy simulator and backtester
algo trading backtesting on BitMEX
Implementation of optimisation analytics for constructing and backtesting optimal portfolios in Python
MOEX API AlgoPack integration with Backtrader. ΠΠ° Π΄Π°Π½Π½ΡΡ Ρ Π±ΠΈΡΠΆΠΈ MOEX ΡΠ΅ΠΏΠ΅ΡΡ ΠΌΠΎΠΆΠ½ΠΎ ΡΠΎΠ·Π΄Π°Π²Π°ΡΡ ΠΏΠΎΠ»Π½ΠΎΡΠ΅Π½Π½ΡΠ΅ ΡΠΎΡΠ³ΠΎΠ²ΡΠ΅ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΈ. ΠΡΠΎΠ²ΠΎΠ΄ΠΈΡΡ Backtesting ΠΈ Π΄Π΅Π»Π°ΡΡ Live ΡΠΎΡΠ³ΠΎΠ²Π»Ρ ΡΠ΅ΡΠ΅Π· Π±ΡΠΎΠΊΠ΅ΡΠΎΠ² ΠΠ»ΠΎΡ, Π€ΠΈΠ½Π°ΠΌ ΠΈ ΡΠ΅Ρ , Ρ ΠΊΠΎΠ³ΠΎ Π΅ΡΡΡ ΡΠΎΡΠ³ΠΎΠ²ΡΠΉ ΡΠ΅ΡΠΌΠΈΠ½Π°Π» Quik.
Professional Backtesting Engine for crypto, stocks and forex
backtrader documentation
Portfolio Management with R: Backtesting investment and trading strategies, computing profit-and-loss and returns, reporting, and more.
Fast and efficient method for testing Uniswap V3 LP Strategies
A python library for testing and optimizing trading strategies.
Contains detailed and extensive notes on quantitative trading, leveraging NLP for finance, backtesting, alpha factor research, portfolio management and optimization.
Engine for live-trading and backtesting strategies with clean architecture and real-time execution capabilities.
sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinforcement learning) in the context of quantitative trading
Python tool to download Binance Candlestick (k-line) data from REST API
Python based Quant Finance Models, Tools and Algorithmic Decision Making
Core module for the StockML crypto trading application.
VectorBT Backtesting
Aku - Tiny Backtesting/Trading Engine
Backtesting trading strategies in TypeScript / JavaScript.
This repository consists several bots encoding various algorithmic trading strategies. The aim here is for absolute beginners in stock trading to get familiar with the various aspects of the market. All you need is basics of statistics and python to understand the underlying metrics and conditions utilized to make decisions. Contributions welcome.
A strategy tester for MetaTrader5 in Python language
Web3 Backtesting Library
Framework for backtesting trading strategies in Python, based on the finta library.
Analyze historical market data using Jupyter Notebooks
A fast and simple backtest implementation for algorithmic trading in golang
Algorithmic Trading : A python framework to run backtest on stocks using your own custom algorithmic strategies
Binance cryptocurrency trading bot
A proof-of-concept custom backtester
Volume Weighted Average Price (VWAP) Indicators for Backtrader
A benchmark for backtesting prediction market trading agents using real Kalshi market replay data.