The Pendulum Indicator for Range Trading
Developing & Back-testing a New Indicator Using Range and Volatility. Source
Trading
Genetic Algorithm — Stop Overfitting Trading Strategies
How can the Coefficient of Variation make Genetic Algorithms more robust? Source
A New Way To Trade Moving Averages — A Study in Python
Another Way to Extract Trading Signals From Moving Average Crosses. Source
“Sentimentum Investing” — Combining Sentiment Analysis and Systematic Trading
Utilising 250,000+ Tweets to backtest “sentimentum” trading strategies Source
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
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
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 ...