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Awesome List
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
GitHub stars and default-branch commits for wilsonfreitas/awesome-quant.
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A python library for computing technical analysis indicators on streaming data.
portfolio construction and quantitative analysis
High performance order matching engine
Vanilla and exotic option pricing library to support quantitative R&D. Focus on pricing interesting/useful models and contracts (including and beyond Black-Scholes), as well as calibration of financial models to market data.
Python interface to SDMX
Use Python like a spreadsheet!
Code repository for Pricing and Trading Interest Rate Derivatives
Obtains stock symbols and relating information for SP500, AMEX, NYSE, and NASDAQ
Kelly Criterion calculation
No description.
Python library for backtesting technical/mechanical strategies in the stock and currency markets
Get meaningful OHLCV datasets
Algo execution engine
[NOT ACTIVELY MAINTAINED] Tulipy - Financial Technical Analysis Indicator Library (Python bindings for Tulip Charts)
This open-source, and convenient python tool is designed to calculate fair value of a stock for given revenue growth and free cash flow margin assumptions of a company. Users can run the tool in batch mode for multiple stock valuations in one go. Download the packaged application in the latest release!
Self-hosted AI trading strategy lab — paper trading, overnight strategy tournaments, 15+ technical indicators
Business days calculations and utilities
Python package for timeseries analysis and manipulation
Analysis of financial instruments
Python API for accessing Lake high frequency tick trades & order book data
quantitative - Quantitative finance back testing library
a cashflow engine wrapper for structured finance professionals
Composite Indicators Framework for Business Cycle Analysis
Python Interface to econdb.com API
🐋 Real-time whale trade tracker for Polymarket — get terminal alerts + Telegram notifications when smart money moves
General Purpose Stock Extractors from Online Resources
Implemention of 101 formulaic alphas using qstrader
Computer program to automatically trade binary options martingale style
Self-tuning multi-agent AI trading system. 8-source signal fusion (Polymarket + Kalshi + 10 ML models incl. Kronos foundation model), Bull/Bear/Judge debate on Claude Opus 4.7, Portfolio Manager gate.
This repository contains codes that were executed during my training in the CQF (Certificate in Quantitative Finance). The codes are organized by class, facilitating navigation and reference.
Quant trading framework by OctoBot. Write, backtest & automate Python trading strategies like TradingView Pine Script. Work in progress.
Risk tools for commodities trading and finance
Obtain pre market and after hours stock prices for a given symbol
PriceHub: Unified Python Package for Collecting OHLC Prices from Binance, Bybit, OKX, Coinbase, Kraken APIs into a DataFrame
Open-source investment analytics platform bridging academic research and retail finance. Features include portfolio risk decomposition [Fama-French Five Factor Model], retirement sustainability modeling [Block Bootstrap Monte Carlo], max drawdown/CVaR dashboards, and risk-return optimisation [Markowitz, Ledoit-Wolf] via an intuitive user interface.
Data source for stock data
Automated trading system for NOPE strategy over IBKR TWS
Python wrapper for Yahoo! Finance API.
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.
🤖 Self-hosted AI trading signals - 5 swappable strategy presets (Classic, HMM, regime-aware, VWAP+EMA+BB, Full-Risk Pipline), multi-preset backtest comparison, paper trading, Telegram bot. BTC, ETH, Gold, Forex. Free forever.
Bilig WorkPaper: headless spreadsheet formula engine and MCP server for Node agents: complete spreadsheet work autonomously
Distributed QuantLib
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
Fast Risks with QuantLib in Python
A dockerized Jupyter quant research environment.
Get current exchange rate.
This library provides convenient way to use Coinpaprika.com API in Python.
Zipline Extensions for QuantRocket
MCP server for Chart Library — visual chart pattern search engine. Find similar historical stock charts and see what happened next.
Simple command line tool to get stock ticker data