#Algorithmic-trading
Showing 60 of 715 repositories tagged #algorithmic-trading, ranked by stars
Free, open source crypto trading bot
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
Zipline, a Pythonic Algorithmic Trading Library
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
"Vibe-Trading: Your Personal Trading Agent"
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
FinRL®: Financial Reinforcement Learning. 🔥
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
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
A curated list of practical financial machine learning tools and applications.
🔎 📈 🐍 💰 Backtest trading strategies in Python.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
An advanced crypto trading bot written in Python
Portfolio analytics for quants, written in Python
Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.
Transparent and Efficient Financial Analysis
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
Performance analysis of predictive (alpha) stock factors
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
modular quant framework.
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
A list of online resources for quantitative modeling, trading, portfolio management
A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang.
Algorithmic Trading in Python with Machine Learning
Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms, HFTs and Hedge Funds
Statistical and Algorithmic Investing Strategies for Everyone
Quantitative analysis, strategies and backtests
An Algorithmic Trading Library for Crypto-Assets in Python
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
QTPyLib, Pythonic Algorithmic Trading
Common financial technical indicators implemented in Pandas.
Open Source Algo Trading Platform for Everyone
Open-source Rust framework for building event-driven live-trading & backtesting systems
Trading bot running on Bybit, Bitget, OKX, GateIO, Binance, Kucoin and Hyperliquid
Using python and scikit-learn to make stock predictions
Use unsupervised and supervised learning to predict stocks
A Comprehensive Collection of Everything Related to Tradingview Pine Script.
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
Unofficial Documentation of Robinhood Trade's Private API
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Machine Learning in Asset Management (by @firmai)
Node Binance API is an asynchronous node.js library for the Binance API designed to be easy to use.
Algorithmic trading framework for cryptocurrencies.
The Official Python SDK for Alpaca API
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.
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries
🤖📈 EA31337 Lite, Advanced and Rider - Forex multi-strategy trading robot for MT4/MT5 platforms
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.
Indicator Go delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
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