Awesome Systematic Trading
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
This page lists names, links and short descriptions. The original list on GitHub is the source and belongs to its authors.
Star History
AI Powered Systematic Trading Systems
DepthSight
| Python TypeScript | - Self-hosted visual algo-trading platform featuring a drag-and-drop strategy builder, an AI co-pilot for automated strategy design, and integrated billing.
TradeSight
| Python | - AI-powered trading intelligence platform with automated strategy tournaments, multi-market scanning (stocks + prediction markets), 15+ technical indicators, paper trading, and web dashboard. Self-evolving strategies via overnight optimization cron.
AI Hedge Fund
| Python | - An AI Hedge Fund Team
FinRL
| Python | - FinRL is the first open-source framework to demonstrate the great potential of applying deep reinforcement learning in quantitative finance.
FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
QLib (Microsoft)
| Python, Cython | - Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An…
Qbot
| Python | - AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform.
VARRD
| Python | - AI-powered trading research platform that validates any trading idea with event studies, statistical tests, and real market data across 15,000+ instruments. CLI, Python SDK, and MCP server.
InvicTrade
AI-powered trading signals with 74% historical win rate, combining strategies from legendary investors using multi-model AI intelligence.
BullBear
| TypeScript | - Open-source AI agent stock trading battle platform. AI agents get $100K virtual cash, trade real US stock prices, and compete on a public leaderboard with social feed.
FinClaw
| Python | - AI-native quantitative finance engine with genetic algorithm strategy evolution. 484 built-in factors, walk-forward validation, multi-market support (A-shares, US, crypto). Strategies evolve themselves via GA — no manual parameter tuning needed.
OpenFinClaw
| TypeScript | - AI-native systematic trading framework. Natural language strategy generation, multi-market execution (US/HK/CN/Crypto), self-evolving strategy pipeline with community leaderboard. Built on OpenClaw (68K+ stars).
StockKit
(GitHub) | TypeScript | - Free AI-powered stock research reports delivered daily. Wall Street-grade analysis for US, China & HK stocks using Claude Opus and multi-model AI engine. 20+ technical indicators, automated email delivery.
stock-analysis
| Python | - Evidence-driven market recap CLI for A/HK/US stocks and funds, producing Markdown reports and JSON Evidence Packs for AI agent workflows.
oracle3
| Python | - Autonomous trading agent for Kalshi, Polymarket, and Solana DFlow with Wang Transform pricing engine calibrated on 291,309 resolved contracts (λ̂ = 0.183), eight constraint-based arbitrage strategies, hierarchical MLE, model Greeks, and Kelly-sized execution. Backed by SSRN working…
Eterna
| MCP | - Launch your own autonomous perp trading AI via Claude Code in 60 seconds. Hybrid exchange MCP with $10B+ aggregated liquidity across 500+ pairs — Claude executes your strategies 24/7. Endpoint: https://mcp.eterna.exchange/mcp
Inalpha
| Python TypeScript | - AI agent framework for quant research: agents pick the factors working now to time entries (time-series rank IC), write full Python strategies audited in sandboxes, and evolve them under multi-objective fitness. Every order passes machine approval — the LLM has no direct…
TraderHarness
| Python | - Contamination-resistant A-share backtesting environment for LLM trading agents: point-in-time masking, entity/date anonymization, progressive 5-minute execution, fingerprinted replay, and full-fidelity trajectory (SFT) export.
Algorier
| AI No-code Vibe-Trading | - Describe a strategy in English, get generated algorithm code plus a backtest and forward test, then run it live on your own broker account (15 brokers across forex, crypto, metals, indices, CFDs and equities) — or sell it on the AlgoNetwork marketplace, where buyers…
Backtest + live trading >General purpose
the0
| Python, TypeScript, Rust, C++, C#, Scala, Haskell, Live Trading | - Self-hosted execution engine for algorithmic trading bots. Each bot runs in an isolated container. No framework imposed — your bot is just normal code.
aat
| Python, C++, Live Trading| - an asynchronous, event-driven framework for writing algorithmic trading strategies in python with optional acceleration in C++. It is designed to be modular and extensible, with support for a wide variety of instruments and strategies, live trading across (and…
* barter-rs
| Rust | - Open-source Rust framework for building event-driven live-trading & backtesting systems. Algorithmic trade with the peace of mind that comes from knowing your strategies have been backtested with a near-identical trading Engine.
* bt
| Python | - Flexible backtesting for Python based on Algo and Strategy Tree
Better Quant
| C++, Live Trading | - Better quant today, best quant tomorrow. 💪
Botvana
| Rust | - high-performance and event-driven trading system built using Rust
backtrader
| Python, Live Trading | - Event driven Python Backtesting library for trading strategies
backtesting.py
| Python | - Backtesting.py is a Python framework for inferring viability of trading strategies on historical (past) data. Improved upon the vision of Backtrader, and by all means surpassingly comparable to other accessible alternatives, Backtesting.py is lightweight, fast, user-friendly,…
FlashFunk
| Rust | - High Performance Runtime in Rust
QuantFabric
| C++ | - QuantFabric是基于Linux/C++开发的中高频量化交易系统,支持中金所、郑商所、大商所、上期所、上海国际能源中心的期货业务品种交易,支持上交所、深交所的股票、债券品种交易。
gobacktest
| Go | - A Go implementation of event-driven backtesting framework
Investing Algorithm Framework
| Python | - Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
lumibot
| Python | - A very simple yet useful backtesting and sample based live trading framework (a bit slow to run...)
* nautilus_trader
| Python, Cython, Rust, Live Trading | - A high-performance algorithmic trading platform and event-driven backtester
QuantConnect
| C#, .NET, Live Trading | - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
QUANTAXIS
| Python, Rust, Live Trading | - QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
Rqalpha
| Python | - A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
quanttrader
| Python | - Backtest and live trading in Python. Event based. Similar to backtesting.py.
qf-lib
| Python | - 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.
sdoosa-algo-trade-python
| Python | - This project is mainly for newbies into algo trading who are interested in learning to code their own trading algo using python interpreter.
* vnpy
| Python, Stock, Futures, Crypto, Live Trading | - Python-based open source quantitative trading system development framework, officially released in January 2015, has grown step by step into a full-featured quantitative trading platform
WonderTrader
| C++, Python | - WonderTrader——量化研发交易一站式框架
zipline
| Python | - Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting.
PandoraTrader
| C++ | - CTP 高频量化交易平台 C++ Trade Platform for quant developer
hftbacktest
| Python, numba | - A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
flashalpha-fill-simulator
| Python, Options | - Realistic limit-order fill simulator for options credit/debit spreads. Models post-and-wait limits, stale-quote guards, deterministic same-bar tiebreaks, and a patient-then-cross exit. Engine-agnostic per-bar primitive that embeds in QuantConnect / Backtrader / custom loops;…
Cipher
| Python | - Backtesting library with focus on position adjustment that allows testing complicated setups. Pythonic, extensible, well-structured, documented.
Gunbot Quant
| Python | - Standalone application for market screening and backtesting. Supports multi-asset, multi-strategy backtests. Includes user interface and CLI options.
PythonTradingFramework
| Python | - 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,…
Tradingview Screener API
| TypeScript | - Query TradingView's financial data with a type-safe, fluent TypeScript API. Screen stocks, crypto, forex, bonds, and futures using 13,000+ data fields. The library includes a Model Context Protocol (MCP) server that lets you query financial markets using natural language in Claude…
QTradeX
| Python, Live Trading | - A powerful and flexible Python framework for designing, backtesting, optimizing, and deploying algotrading bots
FinHack
| Python | - 一个易于拓展的量化金融框架,它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作
pysystemtrade
| Python, Live Trading | - Systematic Trading in python from book by Rob Carver
finmarketpy
| Python | - Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
vectorbt
| Python, numba | - vectorbt takes a novel approach to backtesting: it operates entirely on pandas and NumPy objects, and is accelerated by Numba to analyze any data at speed and scale. This allows for testing of many thousands of strategies in seconds.
fund-strategy
| TypeScript | - 一个简单实用的基金投资策略分析,基金回测工具
fastquant
| Python | - Backtest and optimize your ML trading strategies with only 3 lines of code
Manifold-BT
| Python, Rust | - High-performance Rust-powered backtesting engine: strategies are written as vectorized signal expressions and run with realistic per-bar fills (fees, slippage and look-ahead handled), testing hundreds of thousands of parameter combinations in seconds, plus walk-forward and Monte…
Backtest + live trading >Crypto currency focus
basana
| Python | - A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
c-binance-future-quant
| Python | - 低成本,高效率,简单实现的币安合约量化系统架构
triangular-arbitrage2
| TypeScript | - a server side application for perform triangular arbitrage.
bTrader
| Rust | - Triangle arbitrage trading bot for Binance
crypto-crawler-rs
| Rust | - Crawl orderbook and trade messages from crypto exchanges
cryptotrader-core
| Rust | - Simple to use Crypto Exchange REST API client in rust.
openlimits
| Rust | - A Rust high performance cryptocurrency trading API with support for multiple exchanges and language wrappers.
Freqtrade
| Python | - Freqtrade is a free and open source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram. It contains backtesting, plotting and money management tools as well as strategy optimization by machine learning.
* Hummingbot
| Python, Cython, Live Trading | - A client for crypto market making
Jesse
| Python | - Jesse is an advanced crypto trading framework which aims to simplify researching and defining trading strategies.
* OctoBot
| Python, Cython, Live Trading| - Cryptocurrency trading bot for TA, arbitrage and social trading with an advanced web interface
DeepAlpha
Python | AI crypto trading bot for Bybit with 70.9% walk-forward validated accuracy. LightGBM + XGBoost ensemble with 72 ML features.
Kelp
| Go, Live Trading | - Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges
exc
| Rust | - The abstraction layer of exchanges.
MyCryptoBot
| Python, Js | - Automated, open source crypto trading and backtesting platform
godzilla.dev
| C++, Python | - Open-source framework for crypto quant trading, funding rate arbitrage and ultra-low-latency market making. GitHub
Backtest + live trading >Machine Learning / Reinforcement Learning Focused
ml-quant-trading
| Python, PyTorch | - Research stack for multi-factor ML experiments with 213 mask-aware factors, bias correction, portfolio optimization, and vectorized backtesting.
TradingGym
| Python, Live Trading | - Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Stock Trading Bot using Deep Q-Learning
| Python | - Stock Trading Bot using Deep Q-Learning
Alpha Collections >General Alpha
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte…
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
analyzingalpha
Implementation of simple strategies
Finance
| Python | - 150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
ThetaGang
ThetaGang is an IBKR bot for collecting money
PyTrendFollow
| Python | - PyTrendFollow - systematic futures trading using trend following
czsc - 缠中说禅技术分析工具
| Python | - 缠中说禅技术分析工具;缠论;股票;期货;Quant;量化交易
volest
| Python | - A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
一个中文策略合集
| Python |
一个实盘的股票趋势策略
| Python | -
Quantitative-analysis
| Python | - 量化研究-券商金工研报复现
Alpha Collections >Expression based alpha
torchquantum
| Cython, C, Python | - TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative financial analysis.
OpenAlpha
| C++ | - An open source equity statistical arbitrage backtest simulator, use the same API as WorldQuant's WebSim
stock
| Python | - 一些因子挖掘的代码 A 股
AlphaGen
| Python | - Automatic formulaic alpha generation with reinforcement learning.
Genetic-Alpha
A genetic programming algorithm used for generating alpha factors in the multi-factor investment strategy
alpha_examples
An expression based alpha demo using Polars
Alpha Collections >Stock picking
InvesTool
| Go | - Golang实现财报分析、个股基本面检测、基本面选股、4433法则基金筛选与检测、基金持仓相似度、股票选基、基金经理筛选
Sequoia选股系统
| Python | - A股自动选股程序,实现了海龟交易法则、缠中说禅牛市买点,以及其他若干种技术形态
ValueInvest
| Python | - A modular Python library for comprehensive stock valuation using multiple methodologies (Graham, DCF, EPV, DDM, etc.) with real-time data fetching and news sentiment analysis
Alpha Collections >Orderbook
The Microprice
An estimator of the fair price, given the state of the order book.
Alpha Collections >Arbitrage (Crypto)
Blackbird
| C++ | - Blackbird Bitcoin Arbitrage: a long/short market-neutral strategy
bitcoin-arbitrage
| Python | - Bitcoin arbitrage - opportunity detector
R2 Bitcoin Arbitrager
| TypeScript | - R2 Bitcoin Arbitrager is an automatic arbitrage trading system powered by Node.js + TypeScript.
polymm
| Python | - Market-making and arbitrage bot for Polymarket sports markets. De-vigs sportsbook odds to a fair price, quotes passively on the CLOB, and hedges the opposite side. Includes wallet analytics scripts that run against any public Polymarket wallet.
Basic Components >Fundamental libraries
Cvxpy
| Python, C++ | - A Python-embedded modeling language for convex optimization problems.
jax
| Python | - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
trade-frame
| C++ | - C++ 17 based library (with sample applications) for testing equities, futures, currencies, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. Some support for Alpaca & Phemex. Notifications via…
statsmodels
Python module that allows users to explore data, estimate statistical models, and perform statistical tests.
PyMC
| Python | - Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
Pandas
| Python, Cython | - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Polars
| Rust, Python | - Polars is a blazingly fast DataFrames library implemented in Rust using Apache Arrow Columnar Format as memory model.
FireDucks
Compiler Accelerated DataFrame Library for Python with fully-compatible pandas API
Hugging Face
The AI community building the future.
Sikit-learn
| Python, Cython | - Machine learning in Python
Pytorch
| Python | - Tensors and Dynamic neural networks in Python with strong GPU acceleration
TensorFlow
| Python, C++ | - More low level Deep Learning framework
Basic Components >Computation
Ray
| Python, C++ | - An open source framework that provides a simple, universal API for building distributed applications.
csp (Point72)
| Python, C++ | - csp is a high performance reactive stream processing library, written in C++ and Python
Dask
| Python | - Parallel computing with task scheduling in Python with a Pandas like API
Spark
| Scala | - Apache Spark - A unified analytics engine for large-scale data processing
Hamilton
| Python | - A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc. Embed Hamilton anywhere python runs, e.g. spark, airflow, jupyter, fastapi, python scripts, etc.
Incremental (JaneStreet)
| Ocaml | - Incremental is a library that gives you a way of building complex computations that can update efficiently in response to their inputs changing, inspired by the work of Umut Acar et. al. on self-adjusting computations. Incremental can be useful in a number of applications
Tributary
| Python | - Streaming reactive and dataflow graphs in Python
GraphKit(No activity)
| Python | - A lightweight Python module for creating and running ordered graphs of computations.
Man MDF (No activity)
| Python | - Data-flow programming toolkit for Python
Anchors - C++(No activity)
| C++ | - C++ library for incremental computing
Anchors - Rust(No activity)
| Rust | - self adjusting computations in rust
Loman (No activity)
| Python | - Loman is a Python library designed to allow quantitative researchers to control complex live updating calculation processes
Basic Components >Python Performance Booster
cython
Cython is a Python compiler that makes writing C extensions for Python as easy as Python itself. Cython is based on Pyrex, but supports more cutting edge functionality and optimizations.
pyo3
Rust bindings for the Python interpreter
CuPy
| Python, C++, Cython, Cuda | - CuPy is an open-source array library for GPU-accelerated computing with Python. 100x Boost for some operations
CuDF
| Python | - cuDF - GPU DataFrame Library. No-code-change accelerator for pandas.
codon
| C++ | - A high-performance, zero-overhead, extensible Python compiler using LLVM
Bottleneck
| Python, C | - Fast NumPy array functions written in C
NumExpr
| Python, C++ | - Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more
pandarallel
| Python | - A simple and efficient tool to parallelize Pandas operations on all available CPUs
Basic Components >Python Profilers
Basic Components >Alternative libraries
ndarray
| Rust | - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
faer
| Rust | - Linear algebra foundation for the Rust programming language
DataFrame
| C++ | - C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
Vaex
| Python, C++ | - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second
Modin
| Python | - Modin: Speed up your Pandas workflows by changing a single line of code
Koalas
| Python | - Koalas: pandas API on Apache Spark
Analytic tools >Metrics computation
alphalens (Fork)
| Python | - Performance analysis of predictive (alpha) stock factors
ffn
| Python | - A financial function library for Python
honest-signals
| Python | - Scores detected chart patterns against the pattern-free baseline for the same market and timeframe, reporting lift with cluster-robust confidence intervals instead of a hit rate against 50%
Jacobian
| Python, MCP, CLI | - Composable mathematics for agent-driven quant research, with exact computation and conjecture testing across polynomial maps, linear algebra, and graph algorithms.
Lacuna
| Python, Rust | - Engine-agnostic quantitative research validation for leakage, overfitting, robustness, costs, and point-in-time evidence.
quantstats
| Python | - Portfolio analytics for quants, written in Python
Analytic tools >Indicators
TA-Lib
| C | - Perform technical analysis of financial market data
Python Wrapper
| Python |
Go Port
| Go |
Rust Wrapper
| Rust |
ta-rust
| Rust | - Technical analysis library for Rust language
pandas-ta
| Python | - Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas package with more than 130 Indicators and Utility functions and more than 60 TA Lib Candlestick Patterns.
kand
| Rust & Python | - A blazingly fast technical analysis library in Rust and Python.
chart-patterns
| TypeScript | - Technical analysis library for chart patterns, price action, and volume-based pattern detection.
ChartScout
Real-time crypto chart pattern detection and alerts
Wickra
| Rust & Python & JavaScript & C++ & C# & Go & Java & R | - Streaming-first technical-analysis library with 514 O(1)-per-tick indicators across 24 families; bit-exact batch and streaming from one Rust core.
QuantWave
| Python Rust Polars | - Polars-native technical analysis and backtesting with bit-identical batch and streaming parity, plus an agent skill for consistent research-to-live strategy code.
Analytic tools >Pricing
PyQL
| Python, Cython | - Python wrapper of the famous pricing library QuantLib
QuantLib.jl
| Julia | - Quantlib implementation in pure Julia.
FinancePy
| Python | - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
tf-quant-finance
High-performance TensorFlow library for quantitative finance from Google
vollib
| Python | - Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Vollib extends this to add support for Black-Scholes and Black-Scholes-Merton.
vanna
| Python | - Black-Scholes and CRR-binomial options pricing with Greek-attributed P&L: every trade decomposed into delta/gamma/theta/vega/vanna/volga via a second-order Taylor expansion, with Greeks cross-checked against finite differences and a live in-browser demo running the real engine via…
Analytic tools >Risk
curistat
| Python | - Futures volatility forecasting for ES/NQ. Daily CVN rating (1-10), regime detection (CRC composite), directional signals, economic event impact analytics. Includes MCP server for AI agent integration.
System R
| Python | - Risk intelligence API for trading agents. Pre-trade gate with position sizing (G-formula/Kelly), drawdown analysis, Monte Carlo simulation, regime detection. REST API and MCP server.
QuantDojo Tools Hub
Free, no-login web calculators for position sizing, Kelly criterion, risk/reward, drawdown recovery, Sharpe ratio, and trading expectancy.
Analytic tools >Optimization
cvxportfolio
| Python | - Portfolio optimization and back-testing.
skfolio
| Python | - Python library for portfolio optimization built on top of scikit-learn
Riskfolio-Lib
| C++, Python | - Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Deepdow
| Python | - Python package connecting portfolio optimization and deep learning. Its goal is to facilitate research of networks that perform weight allocation in one forward pass.
PyPortfolioOpt
| Python | - Financial portfolio optimizations in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
empyrial
| Python | - Empyrial is a Python-based open-source quantitative investment library dedicated to financial institutions and retail investors, officially released in March 2021.
spectre
| Python | - spectre is a GPU-accelerated Parallel quantitative trading library, focused on performance.
Analytic tools >TimeSeries Analysis
Facebook Prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
pmdarima
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
hurst-calculator
Rescaled Range (R/S) analysis for estimating the Hurst exponent of a time series. Classifies series as mean-reverting, random walk, or trending. NumPy-only, single-file Python.
Visualization
Matplotlib
| Python | - matplotlib: plotting with Python
Perspective
| C++, Python | - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
gradio
| Python | - Build and share delightful machine learning apps, all in Python.
pylatex
| Python | - A Python library for creating LaTeX files
D-Tale (Man Group)
| JavaScript, Python | - D-Tale is the combination of a Flask back-end and a React front-end to bring you an easy way to view & analyze Pandas data structures.
mplfinance
| Python | - Financial Markets Data Visualization using Matplotlib
KLinePic
| TypeScript | - Converts broker and exchange trade records into annotated candlestick review charts with buy/sell markers, batch PNG/ZIP export, and an Agent API. Examples
btplotting
| Python, bokeh | - btplotting provides plotting for backtests, optimization results and live data from backtrader.
Message Queues
Databases
ArcticDB (Man Group)
| C++, Python | - ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
DuckDB
| C++, Python | - ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
pylance
| Rust | - Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow
Arctic (Man Group)
| Python | - High performance datastore for time series and tick data
PyStore
| Python | - Fast data store for Pandas time-series data
Marketstore
| Go | - DataFrame Server for Financial Timeseries Data
Tectonicdb
| Rust | - Tectonicdb is a fast, highly compressed standalone database and streaming protocol for order book ticks.
kdb
| q | - Companion files to kdb+ and q
Data Source
FilingFirehose
SEC EDGAR JSON API with body-text-classified 8-Ks (catches buried items: 7.3% of Item 8.01 filings flagged), 13D/G with 21+ activist filers tagged, S-3/424B5 ATM detection. Free 72h tier, paid full archive from $29/mo. REST + MCP + Python SDK + GitHub Action.
AltData Atlas
Open directory of alternative data providers for systematic and fundamental investors.
polymarket-canary-tape
Free CC-BY-4.0 prediction-market microstructure tape: 271M CEX trades + 61M Polymarket order-book WebSocket events (Apr-Jul 2026), including a dual-vantage overlap window for latency studies. Companion open-source bot lab: polymarket-bot-lab.
Data Source >Stocks and General
* OpenBB Terminal
| Python | - Investment Research for Everyone, Anywhere.
FinanceDatabase
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
FinanceToolkit
Toolkit with 200+ financial metrics including 80+ financial ratios, 30+ technical indicators, 20+ risk and performance metrics and 50+ macro indicators which pulls from Financial Modeling Prep, Yahoo Finance, OECD, GMBD and more.
AkShare
|Python| - AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
多因子模型数据
获取经典的量化多因子模型数据
findatapy
|Python| - findatapy creates an easy to use Python API to download market data from many sources including Quandl, Bloomberg, Yahoo, Google etc. using a unified high level interface.
FXMacroData
|Python| - Real-time forex macroeconomic data API serving central bank announcements, policy rates, inflation, employment, and GDP for 18 currencies. Includes MCP server and OAuth support.
yfinance
|Python| - yfinance offers a threaded and Pythonic way to download market data from Yahoo!Ⓡ finance.
pandas-datareader
|Python| - Up to date remote data access for pandas, works for multiple versions of pandas.
Wallstreet
|Python| - Wallstreet: Real time Stock and Option tools
TuShare
|Python| - TuShare is a utility for crawling historical data of China stocks
Investpy
Financial Data Extraction from Investing.com with Python
awesome-data
Awesome-data shows most interesting data-source around the financial world
Fundamental Analysis Data
| Python | - Fully-fledged Fundamental Analysis package capable of collecting 20 years of Company Profiles, Financial Statements, Ratios and Stock Data of 20.000+ companies.
Financial Data
Stock Market and Financial Data API
StockAInsights
Institutional-grade financial statements API with AI extraction from SEC filings — not XBRL. Covers domestic and foreign filers (20-F, 6-K, 40-F), normalized quarterly and annual data.
Insider Alerts
SEC Form 4 insider buying and selling alert platform with watchlists, searchable filings, and Telegram notifications for public insider activity.
goMacro.ai
AI-powered economic calendar with institutional-grade macro insights and scenario planning for NFP, CPI, PPI and other data releases.
Chart Library
|Python| - Historical chart pattern similarity search engine. 24M+ pre-computed embeddings (pgvector) across 15K+ symbols and 10 years of minute-bar data. Returns forward returns (1/3/5/10 day) for pattern-based strategy development. Also available as MCP server.
Helium MCP
| REST API, MCP | - Free REST + MCP API providing ML-derived options pricing (per-symbol fair value, prob_ITM, Greeks), real-time market data, and AI-ranked trading strategies. Also includes 31-dim news bias scoring across 3.2M+ articles for sentiment overlays. 50 free queries/IP, no signup. Source
The Stall
| MCP, x402 | - Pay-per-call MCP server with 191 financial market data capabilities: US stocks, ETFs, equity fundamentals, analyst ratings, earnings surprises, insider trades, hedge fund holdings, options chains, treasury yields, macro indicators, DeFi, crypto, and prediction markets. Pays in USDC…
AlphaAI
| REST API, MCP | - Relevance-scored, ticker-linked financial news (GDELT + SEC EDGAR): every article gets a 1-10 relevance score, a category, and per-ticker impact at ingest, and SEC Form 4 insider filings become scored structured events. Free tier: 20 req/min and 100/day, no card. MCP
BDE Score™
| Python, MCP | - AI-powered multi-market stock analysis with transparent multi-factor scoring for 73 stocks across US, HK, and A-share markets. EU AI Act Art.50 compliant. MCP server + REST API.
Data Source >Alternative
Adanos Market Sentiment API
| REST API | - Cross-platform market sentiment API for equities using Reddit, X/Twitter, and Polymarket signals; returns trending tickers, buzz scores, and sentiment snapshots for quant workflows.
13F Insight
AI-powered platform for tracking institutional investor 13F holdings; covers 5,000+ managers with position change alerts, concentration analysis, and quarterly filing summaries. Free tier available.
edgartools
|Python| - SEC EDGAR data for quant strategies — fundamentals, institutional holdings (13F), insider transactions, and corporate events (8-K). Includes MCP server for AI workflows.
AlphaSMO
| CLI, MCP, REST API | - SEC 13F institutional holdings, Form 4 insider trading, and a "smart money convergence" signal (tickers where institutions and insiders are both buying). Free anonymous tier, no signup required.
CongressionalStockBrain
AI-powered STOCK Act disclosure tracker that converts U.S. lawmaker trade filings into machine-scored signals for retail investors. Alternative data source for equity quant strategies. Free tier available.
Helium MCP
| REST API, MCP | - Real-time stock, ETF, and crypto data with AI bull/bear cases and price forecasts; ML options fair value (probability ITM, full Greeks); top-ranked options strategies (short vol, long vol); and news sentiment from 5,000+ sources. MCP server with REST endpoints. Free tier: 50…
Data Source >Crypto
Cryptofeed
|Python| - Cryptocurrency Exchange Websocket Data Feed Handler with Asyncio
Orderflow
| TypeScript, NestJS, TimescaleDB | - Builds real-time Footprint Candles from WebSocket trade data across crypto exchanges.
Agent Gateway
| REST API | - Free unified REST API providing real-time prices for 500+ crypto tokens via Hyperliquid. No API key required for price data. OpenAPI spec at /openapi.json.
tessera-api
| Python | - Official client for Tessera: order-flow-enriched OHLCV, funding-rate, and positioning datasets built from raw Hyperliquid trades, read straight into Polars or DuckDB over a REST API. Website
CoinPaprika
| REST API | - Crypto market data API with prices, volume, market cap, OHLCV, and exchange data for 12,000+ coins. No API key required; free tier is 20,000 calls/month.
DexPaprika
| REST API | - Free DEX/DeFi data API covering pools, tokens, OHLCV, and trade history across 36 chains and 230+ DEXes. No API key needed; free tier is 200K requests/month.
PreReason
| TypeScript, REST API, MCP | - Pre-analyzed Bitcoin and macro market briefings. 17 contexts covering BTC, Fed balance sheet, M2, Treasury yields, hash rate, difficulty, mining production costs, and cross-asset correlations (SPY, QQQ, VXX, UUP as BTC relationship signals). Returns trend direction,…
Sharpe
| REST API, MCP | - Crypto market intelligence API and MCP server covering funding rates, options, arbitrage, narratives, exchange listings, and news. Public endpoints work without a required API key. Website
Coinugget
Real-time RSI signals, price action & volume spikes dashboard for crypto traders. Free, no sign-up required.
Microverse Systems
Real-time L2 order books from 21 exchanges. Free WebSocket API, historical replay, sub-ms latency.
Market Posture Daily
Daily trend, regime and relative-strength data for ~90 crypto assets and US stocks/ETFs (price vs the 50/200-day trend, momentum, correlation) plus a cointegration pair screener. Free terminal + JSON API.
BitBank
| REST API | - AI-powered crypto forecasting and predictions API with machine learning models for price movement analysis.
AgentServices
| REST API, MCP, x402 | - Crypto & market data API platform with 54 services, 97 endpoints, and 37 MCP tools. On-chain payments via x402 (USDC on Base). Covers prices, OHLCV, on-chain metrics, DeFi data, and technical indicators. Server
WealthVille
| REST API, MCP | - DeFi liquidity-pool scoring for LP/yield strategies. Covers ~68,800 Solana pools (Meteora DLMM, Orca Whirlpool, Raydium AMM/CLMM/CPMM) and 575 EVM pools across Ethereum, Arbitrum, Base, Optimism, Polygon and BSC. Returns a 0-100 pool score plus an ENTER/HOLD/EXIT/REDUCE/AVOID…
Shingou
| REST API, MCP | - Hourly news sentiment and typed market events for 30 crypto pairs. Every hourly bucket's hash is committed to a public append-only log at publish time, so point-in-time history can be verified as never rewritten before backtesting, and the log repo ships a one-command verifier.…
0xArchive
| REST API, WebSocket, MCP | - Real-time and historical Hyperliquid and Lighter market data with order-level depth, funding, open interest, replay, and data-quality endpoints.
ByKaranteli
| TypeScript, REST API, MCP, x402 | - Crypto derivatives and market-structure data: cross-exchange funding rates and funding arbitrage, open interest, exchange-recorded liquidations with cascade forensics, Deribit options snapshot and tape, VPIN order-flow toxicity, Coinbase premium, CFTC…
Data Source >Prediction Markets
Parsec
| Rust, TypeScript, Python | - Prediction market data, execution, and live streams across all major exchanges. Website
ProfitPlay Agent Arena
| Python, JavaScript | - Open prediction market arena where AI agents compete in real-time BTC/ETH/SOL prediction games. Python and Node.js SDKs, 9 live markets, REST + WebSocket APIs. (Demo)
pykalshi
| Python | - Feature-rich Python client for Kalshi prediction markets with WebSocket streaming, automatic retries, rate limiting, pandas integration, Jupyter rendering, and local orderbook management.
TurbineFi
| Web | - Build, backtest, and deploy automated trading strategies for prediction markets including Kalshi and Polymarket.
TBD Predict
| TypeScript | - Solana-based prediction market for human opinions with an agent CLI (@tbd-vote/cli) and AGENTS.md spec for AI agents to authenticate, list opinion campaigns, and place bets via JSON-friendly commands. Website
PolyMind
| - Real-time Polymarket trading alerts with multi-AI analysis (Groq, Claude, Gemini). Monitors 200+ markets every 15 seconds across 12 signal types: whale bets, volume spikes, price reversals, coordinated wallets, and more. Free tier available.
marketlens
| Python, REST API | - Tick-level Polymarket L2 order book history covering the whole catalog (crypto, sports, weather, economics) from March 2026, served as REST or parquet exports, with a backtesting engine that models queue position, latency, slippage and settlement delay. Free tier, then from…
Live Tennis API
| REST API, WebSocket, MCP | - Event-side data feed for trading tennis markets on prediction exchanges: real-time scores with serving and break-point state, model win probabilities, H2H, rankings, and a 1968-2022 point-by-point archive for backtesting. Free tier (30 req/min, 100/day); WebSocket…
resolvedkit
| Python | - Polymarket backtester that fills orders by walking the historical order book level by level, with Polymarket's taker-fee curve, order latency and settlement at the real resolution. MIT, pip install resolvedkit, runs on a bundled sample without an API key.
Resolved Markets
| REST API, WebSocket, MCP | - Polymarket historical order book snapshots (crypto, sports, weather, economics, equities, social) since March 2026, with trades, settlement results and Hyperliquid perp books, over REST, WebSocket and a hosted MCP server. Free tier (5,000 credits/mo, crypto markets),…
Broker APIs
Ib_insync
| Python | - Python sync/async framework for Interactive Brokers API
PENDAX
| JavaScript | - A free Javascript library allowing simplified interaction with trading and data commands on a growing list of cryptocurrency exchanges like FTX, OKX, ByBit, & more.
ccxt
| Python, JavaScript | - A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
Coinnect
| Rust | - Coinnect is a Rust library aiming to provide a complete access to main crypto currencies exchanges via REST API.
async_rithmic
| Python | - Python async framework for Rithmic Protocol Buffer API
pmxt
| Python, JavaScript | - A JavaScript / Python prediction markets trading API with support for major exchanges. (The ccxt for prediction markets)
PolyClawster
AI agent skill for trading on Polymarket prediction markets. Non-custodial, whale signal detection, public leaderboard. Works as OpenClaw skill or Telegram Mini App.
NanoStack
| Rust, REST API | - Permissionless cross-chain execution fabric. 86 chains, 8-15 bps fee, no API key required. Direct pool routing, conservation-enforced settlement, sub-millisecond dispatch.
TickerAll
| REST, WebSocket | - Hosted MetaTrader 5 & MT4 broker API. Place trades, stream live ticks, and pull historical candles from your code with no MetaTrader terminal — Python & TypeScript SDKs. Permanent free tier on demo accounts.
Quant Shops Code and Blog
Open Source
Tech stack: Ocaml, C, F#
Open Source
Tech stack: Python, JavaScript, Java, C, Go
Open Source
Tech stack: Python, TypeScript, JavaScript, Rust, Nix
Open Source
Tech stack: Python, Java, C, Clojure, Rust
Resources >Research
Resources >Books
Algorithmic Trading with Python (2020) by Chris Conlan
Python - Free pandas and scikit-learn resources for trading simulation, backtesting, and machine learning on financial data.
Python for Algorithmic Trading (2020) by Dr. Yves J. Hilpisch
Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.
pysystemtrade
| Python, Live Trading | - Systematic Trading in python from book by Rob Carver
Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for…
Code for Machine Learning for Trading (3rd edition), from data sourcing and alpha factor research to live execution
Machine Learning for Asset Managers
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
Resources >Blogs
KeepRule
Free investment principles knowledge base with 500+ rules from Buffett, Munger, Graham and more, organized by investing scenarios.
Resources >Tutorials
Algorithmic Trading for Cryptocurrencies in Python
A simple yet practical experiment tutorial for cryto trading.
Solo Crypto Quant Starter Kit
A 150-page playbook for building a Solana-native signal engine + autonomous trading bot solo on $0/mo infrastructure. Covers universe selection, top-K signal filtering, eighth-Kelly sizing, MEV sandwich defenses, three-tier wallet architecture, Canadian NI 31-103 compliance, and Oracle Cloud…
Resources >Courses
Hudson and Thames Quantitative Research
Our mission is to promote the scientific method within investment management by codifying frameworks, algorithms, and best practices.
Relevant Projects
量化交易知识集 @ 泛程序员
Collect knowledge around systematic trading, including software design, trading strategies, statistical skill. 量化交易/系统化交易知识集
Awesome Quant 中文
中国的Quant相关资源索引
awesome-deep-trading
List of awesome resources for machine learning-based algorithmic trading
CongressionalStockBrain
AI-powered STOCK Act disclosure tracker that converts U.S. lawmaker trade filings into machine-scored signals for retail investors. Alternative data source for equity quant strategies. Free tier available.
PolyMind
| - Real-time Polymarket trading alerts with multi-AI analysis (Groq, Claude, Gemini). Monitors 200+ markets every 15 seconds across 12 signal types: whale bets, volume spikes, price reversals, coordinated wallets, and more. Free tier available.
EventTrader
CLOB exchange with 10 AI trading agents running live. Automated market making, epoch keeping, smart order routing. Pre-launch TGE token predictions on Base L2. REST + WebSocket API. API | Platform
ToolsNova
Free browser-based trading calculators for forex and gold traders. Includes XAU/USD pip calculator, margin calculator, position size calculator and 100+ other tools. No signup required.
Related lists in Programming Languages
See categoryAwesome Rust
rust-unofficial/awesome-rust
A curated list of Rust code and resources.
Awesome Mac
jaywcjlove/awesome-mac
This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy search and use.
Awesome Python
vinta/awesome-python
The definitive list that answers "I want to do X in Python, which tool should I use?"
Awesome C++
fffaraz/awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
Awesome Go
avelino/awesome-go
A curated list of awesome Go frameworks, libraries and software
Awesome PHP
ziadoz/awesome-php
A curated list of amazingly awesome PHP libraries, resources and shiny things.