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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
Introduction to Statistical Thinking for Smarter Choices and Analysis
Statistical thinking, a beginner's guide! Making decisions with limited information is a part of life. Get introduced to the way of making decisions using a structured approach through statistics....
8 min read
Five Indicators To Build Trend-Following Strategies
Explore the best trend indicators for trading, including MACD, RSI, ADX, and Bollinger Bands. Learn how to use these indicators to build trend-following strategies with Python examples....
6 min read
Building Blocks of Bias-Variance Tradeoff for Trading the Financial Markets
Explore bias-variance tradeoff in machine learning for trading. Learn how underfitting, overfitting, and error decomposition impact model performance and strategy development in finance....
12 min read
Faster Downloads using Python Multithreading
Speed up stock data downloads using Python multithreading. Learn to implement multithreading to fetch multiple stocks simultaneously, reducing API call latency and improving efficiency....
5 min read
A novel drift detection algorithm for machine learning in trading
Explore the autoregressive based drift detection method (ADDM) for identifying concept drift and market regime changes in trading. Learn how ADDM enhances ML strategies and supports backtesting in finance....
14 min read
Exploring the Bayesian Equation: A Practical Guide to Bayesian Statistics in Finance
Bayesian statistics is an important part of quantitative strategies which are part of an algorithmic trader’s handbook....
10 min read
