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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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GPU-accelerated Factors analysis library and Backtester
A Python Pandas implementation of technical analysis indicators
A python library for time-series smoothing and outlier detection in a vectorized way.
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
DX Analytics | Financial and Derivatives Analytics with Python
Python live trade execution library with zipline interface.
An open-source alternative to Yahoo Finance's market data APIs with higher reliability.
AI-based stock analysis and trading system
Python SDK for IEX Cloud
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.
Quantitative Finance tools
Calendars for various securities exchanges.
A Python library for mathematical finance
Top training materials in quantitative finance
SABR model Python implementation
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.
Fetch stock quote data from Yahoo Finance
Download live and historical data for Indian stock market
talipp - incremental technical analysis library for python
Technical Analysis library in pandas for backtesting algotrading and quantitative analysis
QuantSoftwareToolkit
Library for fitting the LPPLS model to data.
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
Lightweight Python library for assembling and analysing financial data
A python wrapper around the https://coinmarketcap.com API.
Toolkit for integration and analysis
No description.
Python interface to IEX and IEX cloud APIs
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
Quant DSL
A fast, extensible, transparent python library for backtesting quantitative strategies.
Robust and flexible Python implementation of the willow tree lattice for derivatives pricing.
Fast and scalable construction of risk parity portfolios
Basic options pricing in Python
Python client for interacting with the Tiingo Financial Data API (stock ticker and news data)
A backtester and spreadsheet library for stocks and ETFs
No description.
Vectorized backtester and trading engine for QuantRocket
Open Source Algorithmic Trading Engine
pandas wrapper for Bloomberg Open API
:chart: Python framework for real-time financial and backtesting trading strategies
Pipeline Extension for Live Trading
Fully functioning fast Limit Order Book written in Python
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.
Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.
High level API for access to and analysis of financial data.