Trending repositories for topic algorithmic-trading
A curated list of practical financial machine learning tools and applications.
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
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
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to...
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
A Comprehensive Collection of Everything Related to Tradingview Pine Script.
A curated list of practical financial machine learning tools and applications.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
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
A Technical Analysis Bot that trades leveraged USDT futures markets on Binance.
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
A Comprehensive Collection of Everything Related to Tradingview Pine Script.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
A curated list of practical financial machine learning tools and applications.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to...
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tradin...
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
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
A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
A curated list of practical financial machine learning tools and applications.
A high-performance WebSocket integration library for streaming public market data. Used as a key dependency of the `barter-rs` project.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.
A ranked list of algorithmic trading open-source libraries, frameworks, bots, tools, books, communities, education materials. Updated weekly.
X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
RSI divergence detector finds regular and hidden bullish and bearish divergences
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
Courses, Articles and many more which can help beginners or professionals.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
Open-source Rust framework for building event-driven live-trading & backtesting systems
A curated list of practical financial machine learning tools and applications.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to...
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tradin...
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
A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
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, ...
X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
A ranked list of algorithmic trading open-source libraries, frameworks, bots, tools, books, communities, education materials. Updated weekly.
Seamless Finance: Docker-Deployed APIs for Smart Investments. [WORK IN PROGRESS]
A python library for testing and optimizing trading strategies.
A curated list of practical financial machine learning tools and applications.
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
AI-CryptoTrader is a state-of-the-art cryptocurrency trading bot that uses ensemble methods to make trading decisions based on multiple sophisticated algorithms. Built with the latest machine learning...
[PineScript] Dosyalar pek çok uygulama başlığına dair özgün, birbirinden bağımsız açık kaynak kodlarını içerir.
A high-performance WebSocket integration library for streaming public market data. Used as a key dependency of the `barter-rs` project.
A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
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 Jav...
RSI divergence detector finds regular and hidden bullish and bearish divergences
Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
Seamless Finance: Docker-Deployed APIs for Smart Investments. [WORK IN PROGRESS]
X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
compiled and redesigned bot which send TradingView alerts to Telegram
Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.
[PineScript] Dosyalar pek çok uygulama başlığına dair özgün, birbirinden bağımsız açık kaynak kodlarını içerir.
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to...
A curated list of practical financial machine learning tools and applications.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tradin...
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
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
A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
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, ...
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.
Automated, open source crypto trading and backtesting platform
A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentiment analysis.
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
AI-CryptoTrader is a state-of-the-art cryptocurrency trading bot that uses ensemble methods to make trading decisions based on multiple sophisticated algorithms. Built with the latest machine learning...
A cryptocurrency trading bot that automates long and short trades. It uses fractals combined with Alligator indicators, both from Bill Williams.
A ranked list of algorithmic trading open-source libraries, frameworks, bots, tools, books, communities, education materials. Updated weekly.
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 Jav...
compiled and redesigned bot which send TradingView alerts to Telegram
Open-source Rust framework for building event-driven live-trading & backtesting systems