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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
Historical Market Data Sources
A comprehensive list of free and paid financial data providers, detailing available asset classes, data types, and access methods....
7 min read
Independent Events in Trading: Definition, Real-Life Examples, and Key Differences
Independent events are one of the popular and important mathematical topics. Be a part of an exclusive and vivid discussion on how independent events occur in trading with this blog....
6 min read
Exploring Linear Regression Analysis in Finance and Trading
Getting under the hood of linear regression where we demystify the jargon regularly encountered on the topic. Let’s dive in!...
13 min read
Walk-Forward Optimization in Python for ML Models
Learn how to apply Walk-Forward Optimization (WFO) in Python using XGBoost for stock price prediction. Understand how WFO helps manage concept drift and maintain model accuracy in dynamic financial markets....
9 min read
