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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.
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. libtorch/lstm/cuda demo. Support for Alpaca & Phemex. Notifications via Telegram.
AI-based stock analysis and trading system
Python SDK for IEX Cloud
Time series analysis in the `tidyverse`
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
Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.
Calendars for various securities exchanges.
A Python library for mathematical finance
Top training materials in quantitative finance
SABR model Python implementation
Performance analysis of predictive (alpha) stock factors
Portfolio and risk analytics in Python
Mathematical Finance Library: Algorithms and methodologies related to mathematical finance.
low code backtesting library utilizing pandas and technical analysis indicators
Here you will find materials for the course of Computational Finance
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
Notebooks that replicate original quantitative finance papers from Emanuel Derman
talipp - incremental technical analysis library for python
Applications of Monte Carlo methods to financial engineering projects, in Python.
A Python library for evaluating option trading strategies.
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine