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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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An open-source alternative to Yahoo Finance's market data APIs with higher reliability.
Python live trade execution library with zipline interface.
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.
Calendars for various securities exchanges.
A Python library for mathematical finance
Quantitative Finance tools
Python SDK for IEX Cloud
SABR model Python implementation
Top training materials in quantitative finance
Download live and historical data for Indian stock market
A package to work with SEC data. Incorporates datamule endpoints.
A Python package for aggregating and normalizing historical data from popular and free financial APIs.
talipp - incremental technical analysis library for python
Fetch stock quote data from Yahoo Finance
Technical Analysis library in pandas for backtesting algotrading and quantitative analysis
QuantSoftwareToolkit
Library for fitting the LPPLS model to data.
Lightweight Python library for assembling and analysing financial data
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
No description.
A python wrapper around the https://coinmarketcap.com API.
Open Source Algorithmic Trading Engine
Toolkit for integration and analysis
Python interface to IEX and IEX cloud APIs
Quant DSL
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
Robust and flexible Python implementation of the willow tree lattice for derivatives pricing.
A fast, extensible, transparent python library for backtesting quantitative strategies.
Fast and scalable construction of risk parity portfolios
Python client for interacting with the Tiingo Financial Data API (stock ticker and news data)
Basic options pricing in Python
A backtester and spreadsheet library for stocks and ETFs
No description.
Vectorized backtester and trading engine for QuantRocket
pandas wrapper for Bloomberg Open API
:chart: Python framework for real-time financial and backtesting trading strategies
Pipeline Extension for Live Trading
A sentiment analyzer package for financial assets and securities utilizing GPT models.
Python Client for Interfacing with the Federal Reserve Bank of St. Louis' Economic Data API (FRED®)
Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning
Get market data from Yahoo Finance websocket in near-real time.
Self-hosted Python strategy research and Alpaca paper trading with broker reconciliation, evidence gates, and live execution disabled.
Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.
High performance order matching engine
High level API for access to and analysis of financial data.
A python library for computing technical analysis indicators on streaming data.
portfolio construction and quantitative analysis
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!