Implementing Logistic Regression for Stock Trading
Most stock trading algorithms that incorporate machine learning are based upon some form of linear regression. There are benefits and drawbacks to this method. Source
Market
Combining Technical Indicators Into One. The Global Technical Index in Python
Creating an Indicator From Many Other Weighted Technical Indicators. Source
How to Calculate and Analyze Relative Strength Index (RSI) Using Python
Automate the calculation of RSI for a list of stocks, and then analyze its accuracy at predicting future price movements. Source
Combining Timing and Patterns to Form Trading Strategies
Developing a Market Timing Pattern for Financial Trading. Source
Algorithmic Trading with RSI using Python
Using talib and yfinance Source
Creating Automated Python Dashboards using Plotly, Datapane, and GitHub Actions
In the real world, analyzing data, learning how to ‘automate the boring stuff,’ creating ETL pipelines and dashboards, and guiding stakeholders or clients to the correct path often delivers much more value. More data teams ...
Backtesting Your First Trading Strategy
Backtesting is a fundamental step in testing the viability of your trading ideas and strategies. Here is a simple backtesting implementation in Python. Source
Trading Gold with Scikit-Learn
By the end of this story you will understand how to use the popular Python library Scikit-Learn to predict gold prices. We will compare a linear regression model with a train / test split to ...
The High-Low Index. A Simple Contrarian Indicator Worth Using
Presenting & Coding the High-Low Index for Trading in Python. Source
Could Machine Learning Have Predicted GameStop Madness?
Because data also have something to say… Source