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Non-blocking Python methods using decorators
Financial Markets Data Visualization using Matplotlib
A program for financial portfolio management, analysis and optimisation.
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…
strip output from Jupyter and IPython notebooks
A stock trading bot that uses machine learning to make price predictions.
Spark: The Definitive Guide's Code Repository
🚨 GROW YOUR AUDIENCE WITH HUGOBLOX! 🚀 HugoBlox is an easy, fast no-code website builder for researchers, entrepreneurs, data scientists, and developers. Build stunning sites in minutes. 适合研究人员、企业家、…
Course content for Practical AI on the Google Cloud Platform
Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
Stock Fundamental Analysis using Machine Learning Classification Models
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…
Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to…
A brief description on how to use Financial Modeling Prep Api
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Materials for IBM Spark contest. About the real-world application of big data and spark.
A curated list of practical financial machine learning tools and applications.
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
An (unofficial) implementation of the post "Trading Bitcoin with Reinforcement Learning".
Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q-Learning
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Introducing neural networks to predict stock prices
Python project for real-time financial data collection, analyzing && backtesting trading strategies