Stars
Scrapy, a fast high-level web crawling & scraping framework for Python.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Download market data from Yahoo! Finance's API
Python Backtesting library for trading strategies
Code for Machine Learning for Algorithmic Trading, 2nd edition.
⚡ Hugo Blox: Markdown sites in minutes. Academic/resume/lab/portfolio for AI researchers & startups. Premium templates. Deploy to GitHub Pages now in 1-click 👇
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…
A curated list of practical financial machine learning tools and applications.
🔎 📈 🐍 💰 Backtest trading strategies in Python.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Financial Markets Data Visualization using Matplotlib
Spark: The Definitive Guide's Code Repository
Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
A program for financial portfolio management, analysis and optimisation.
Make dynamic impressive presentations from text files!
strip output from Jupyter and IPython notebooks
Portfolio optimization and back-testing.
(Deprecated) Scikit-learn integration package for Apache Spark
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
A powerful financial data module used for pulling data from Yahoo Finance. This module can pull fundamental and technical data for stocks, indexes, currencies, cryptos, ETFs, Mutual Funds, U.S. Tre…
Introducing neural networks to predict stock prices
A stock trading bot that uses machine learning to make price predictions.
A brief description on how to use Financial Modeling Prep Api
Technical experimentations to beat the stock market using deep learning 📈
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then s…
Python project for real-time financial data collection, analyzing && backtesting trading strategies