Explore the bias-variance tradeoff in machine learning for trading strategies. Learn how to build and backtest a trading model using PCA, VIF, and bias-variance decomposition to optimize performance and mitigate overfitting....
Learn how reinforcement learning is applied in stock trading with Q-learning, experience replay, and advanced techniques. Explore its edge over traditional ML in building trading strategies....
Explore the GARCH and GJR-GARCH models for volatility forecasting. Learn their differences, formulas, and how to forecast NIFTY 50 volatility using Python in this hands-on guide....
Moving average crossover strategies explained. Explore types of moving averages, learn how to build effective trading strategies, and get insights on advantages, examples, and FAQs for traders....
Master non-linear regression: Logistic, Quantile, Decision Trees, Random Forests, SVR for finance. Tackle complex patterns, enhance predictive modeling with these machine learning tools....
Master advanced linear regression models in finance: Polynomial, Ridge, Lasso, Elastic Net, LARS. Tackle multicollinearity, feature selection challenges for robust financial modeling. Learn key techniques now!...
Discover Elías' inspiring journey from traditional finance in Chile to mastering quantitative trading through EPAT—overcoming challenges in coding, language, and career transition with perseverance and purpose....
Position sizing is the methodology used to determine the size of a particular trade, strategy or portfolio of assets. Learn different position sizing techniques such as Kelly Criterion, Optimal F, CPPI, TIPP....
In this blog on “Understanding the chain rule,” we will learn the math behind the application of chain rule with the help of an example....
To help develop a deeper understanding of statistical analysis by focusing on the methodologies adopted by frequentist statistics and Bayesian statistics....