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Reinforcement Learning in Trading
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....
9 min read
Modelling Asymmetric Volatility with the GJR-GARCH Framework
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....
9 min read
Moving Average Crossover Strategies
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....
16 min read
From Logistic to Random Forests: Mastering Non-linear Regression Models
Master non-linear regression: Logistic, Quantile, Decision Trees, Random Forests, SVR for finance. Tackle complex patterns, enhance predictive modeling with these machine learning tools....
14 min read
Beyond the Straight Line: Advanced Linear Regression Models for Financial Data
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!...
15 min read
Elías’ Journey: From Finance to the World of Quant – Powered by EPAT
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....
6 min read
Position Sizing Strategies and Techniques in Trading
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....
9 min read
Exploring the Chain Rule with Step-by-Step Examples
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....
4 min read
Bayesian Inference Methods and Formula Explained
To help develop a deeper understanding of statistical analysis by focusing on the methodologies adopted by frequentist statistics and Bayesian statistics....
10 min read
Forecasting Stock Prices Using ARIMA Model
Use the ARIMA Model for Stock Price Forecasting in Python with a step-by-step guide on data preparation, parameter tuning, backtesting, and strategy evaluation....
12 min read
