TL;DR: The ‘house-stock-watcher-data’ GitHub repository provides a rich dataset of congressional stock trades, offering a unique opportunity for quantitative analysis. This article walks through setting up a data pipeline, applying statistical methods,… Read article
Tag: quantitative finance
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Algorithmic Trading: A Practical Guide for Engineers
A practical guide to algorithmic trading for software engineers. Covers backtesting, strategy design, risk management, and live deployment with Python. Read article
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Advanced Options Strategies for Engineers: A Practical Guide
Advanced options strategies explained for engineers. Covers spreads, Greeks, volatility trading, hedging techniques, and Python implementation examples. Read article
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Option Pricing in JS: Forward Implied Volatility
Price options using forward implied volatility in JavaScript. Covers term structure interpolation, vol surface modeling, and Black-Scholes adjustments. Read article
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Linear Regression: A Beginner-Friendly Guide
Learn linear regression from scratch with clear math, Python examples, and real datasets. Perfect for beginners entering machine learning and data science. Read article
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Python Finance: Option In-the-Money Probability
Calculate the probability of an option finishing in the money using Python. Covers Black-Scholes, Monte Carlo simulation, and real market data examples. Read article
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Monte Carlo Simulations in JS for Finance
Run Monte Carlo simulations in JavaScript for stock price forecasting and portfolio risk analysis. Covers random walks, confidence intervals, and charting. Read article