Quant Strategies
Python-based quantitative strategies — momentum, mean-reversion, and volatility models with backtest results.
The Complete Bollinger Bands Guide: Usage and Trading Signals Even Beginners Can Understand
A comprehensive guide covering everything from the basic concepts of Bollinger Bands to practical trading applications and key considerations. Easily learn investment strategies using the Squeeze and breakout signals.
The Complete Guide to Bollinger Bands: How to Read Volatility for Beginner Investors
A simple explanation of Bollinger Bands, from the basics to practical application. Learn how to make smarter trading decisions by measuring volatility, identifying overbought/oversold zones, and combining strategies with other indicators.
Bollinger Bands Usage: Volatility Analysis and Trading Timing
An overview of Bollinger Bands principles and practical application techniques. Covers band contraction and expansion, overbought/oversold signals, and combining with other indicators.
The Magic of Compound Interest: How the Rule of 72 Tells You When Your Money Doubles
Understand the power of compound interest and learn how to use the Rule of 72 to quickly estimate when your investment will double. A beginner-friendly guide with real-life analogies and practical examples.
HMM-Based Regime Detection: How to Automatically Classify Bull and Bear Markets
Learn the principles and practical applications of market regime detection using Hidden Markov Models. This guide covers how to automatically classify bull, bear, and sideways markets to build the core of adaptive investment strategies.
How to Use Polymarket Prediction Market Data as Quant Signals
Prediction markets are regarded as more accurate than polls. This article explains how to collect real-time probability data from Polymarket and quantify macro event risks.
Preventing Overfitting in Backtests: Walk-forward vs Purged K-Fold Comparison
Many strategies that work well in historical backtests fail in live trading due to overfitting. Based on practical experience, this article compares Walk-forward and Purged K-Fold methods, explaining their differences and guidelines for choosing the right approach.
Getting Started with Algorithmic Trading Using Interactive Brokers API
To go beyond backtesting and connect to live trading, a broker API is essential. This guide explains how to automate orders using IBKR TWS API and the ib_insync library.
How to Read Candlestick Charts: The Complete Guide for Beginners
This guide is for those new to candlestick charts. Covering the meaning of bullish and bearish candles, common patterns, and the basics of chart reading.
Prop Trading Guide: Platforms for Python Quant Developers
How to deploy backtested strategies with real capital. Comparing prop trading platforms accessible via API without MetaTrader.
What to Consider Before IC in Factor Combination Strategies
Relying solely on IC (Information Coefficient) makes it difficult to assess the stability of a strategy. To truly evaluate the value of factor combinations, you need to also consider turnover, clustering, correlation structure, and rebalancing costs.
Creating Quant Strategies and Indicators with TradingView Pine Script
This article summarizes the workflow of developing custom indicators and strategies using TradingView's Pine Script and passing backtest results to Python.
Complete Guide to the RSI Indicator: Identifying Overbought and Oversold Conditions
Learn what RSI is, how to interpret it, and how to use it in practice. Remember, RSI above 70 doesn't always mean it's time to sell.
How to Read MACD: Spot Golden Crosses and Timing Trades
This guide covers the components of the MACD indicator, how to interpret it, and how to utilize Golden Cross / Dead Cross signals. It is one of the most widely used trend-following indicators.
What Is Quantitative Investing? A Beginner's Guide for Individual Investors
Learn what quantitative investing is, whether individuals can do it, and where to start. Your first step toward data-driven investing instead of relying on intuition.
Getting Started with Python Backtesting: How to Validate Your First Trading Strategy
Learn what backtesting is, why it matters, and how to do it in Python. A hands-on guide using a moving average strategy, calculating returns, Sharpe ratio, and maximum drawdown.