Awesome Quant

Quantitative Finance tools

low code backtesting library utilizing pandas and technical analysis indicators

A Python package for aggregating and normalizing historical data from popular and free financial APIs.

talipp - incremental technical analysis library for python

Library for fitting the LPPLS model to data.

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Indicator TS delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀

QLNet C# Library

Python interface to IEX and IEX cloud APIs

A fixed income library for pricing bonds and bond futures, and derivatives such as interest rate swaps (IRS), cross-currency swaps (XCS) and FX swaps. Contains tools for full curveset construction with market standard optimisers and automatic differentiation (AD) and risk sensitivity calculations including delta and cross-gamma.

Technical analysis and other functions to construct technical trading rules with R

Fast and scalable construction of risk parity portfolios

Python client for interacting with the Tiingo Financial Data API (stock ticker and news data)

A backtester and spreadsheet library for stocks and ETFs

Forex algorithmic trading framework using OANDA REST API.

Financial market technical analysis & indicators in Julia

Pipeline Extension for Live Trading

Quantitative systematic trading strategy development and backtesting in Julia

Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.

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.

Use Python like a spreadsheet!

From Idea to Execution - Manage your trading operation across a distributed cluster

Python interface to Brazilian Central Bank web services

Time series implementation for the Julia language focused on efficiency and flexibility

Flexible financial charts based on HTML5 canvas

A bunch of downloaders and parsers for data delivered from B3

Writing financial contracts in Julia

Fixed income tools for R

Open-source framework for agentic quantitative finance research.

tessa – simple, hassle-free access to price information of financial assets

Risk tools for commodities trading and finance

Julia Incremental Technical Analysis Indicators (inspired by talipp)

🤖 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.

R package with helper functions for developers and researchers familiar with Tidy Finance

Classes for analysing and implementing equity portfolios in R.

MCP server for Chart Library — visual chart pattern search engine. Find similar historical stock charts and see what happened next.

Quantitative risk and performance analysis package for financial time series powered by the Julia language.

Fast, Transparent Backtesting

A Python package for PME (Public Market Equivalent) calculation

EDINET XBRL parsing library and MCP server for Japanese financial data

Financial Market Building Blocks

Financial market primitives — price types, order book, OHLCV, indicators, position ledger, risk monitor

The first end-to-end C++20 implementation of special-relativistic geometry applied to financial OHLCV data. Computes Lorentz factors, spacetime intervals, Christoffel symbols, and geodesic deviation signals from live market data.

Real-time market data streaming primitives — 100K+ ticks/second ingestion pipeline

Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence

63 deterministic quant computation tools for autonomous financial agents. Options, derivatives, risk, portfolio, statistics, crypto/DeFi, macro/FX, TVM. 1,000 free calls/day — no signup.

Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents

Python package for Swiss financial data

Cent-accurate mortgage amortization schedules for Python — validated against CFPB, Fannie Mae, textbooks, and real-world published examples.