Algorithmic Trading with Python
Build an Algorithmic Trading System for the Futures Market Source
Market
Time-Series Forecasting: Predicting Stock Prices Using Facebook’s Prophet Model
In this post, I show you how to predict stock prices using a forecasting model publicly available from the Facebook Data Science team: The Prophet Source
Technical Pattern Recognition for Trading in Python
Back-testing some Exotic Technical Patterns and evaluating their Performance Source
Build a ML Web App for Stock Market Prediction From Daily News With Streamlit and Python
On the web interface, you can simply start from choosing your ML model type, then adjusting hyperparameters of the model and finally selecting your evaluation metrics. Source
The Rainbow Indicator, Another Way to Follow the Trend
Presenting and Coding a Complete Trend-Following Indicator in Python. Source
Algorithmic Trading Strategies
Algorithmic Trading aims to remove the human factor and instead follows pre-determined statistics based strategies that can be run 24/7 by computers with minimal oversight. Source
Combining Technical Indicators with Deep Learning for Stock Trading
This project is not a deep dive into connecting technical analysis and machine learning, but just a simple framework so that the reader can work upon it and implement their own features. Source
Algorithmic Trading with Economics Driven Deep Learning
Incorporating macro-economic theories in deep learning models Source
Trading Gold with Scikit-Learn
Advanced techniques with simple Python code Source
Quantum Computing for Finance
Multiverse Computing worked with major banks like BBVA and Bankia to solve real world problems in finance using a D-Wave quantum computers. In a project with Bankia, they tackled the problem of dynamic portfolio optimization ...