Can Genetic Algorithms Beat Buy and Hold? A Test on the S&P 500

The Short Answer is Yes, And It Only Took 3 Trades

Transition Densities and Partial Differential Equations in Quantitative Finance

How randomness becomes structure through density functions, stochastic processes, and PDEs

I Used Bayesian Optimization to Optimize a Trading Strategy on the Top 10 Most Active Stocks

How randomness becomes structure through density functions, stochastic processes, and PDEs

Understanding European and American Options: A Quantitative Approach

Extracting Future Price Expectations from Options

Deriving Risk-neutral Price Forecasts, Estimating Expected Price Distributions and Foward-looking Market Implied Probabilities.

Stock Price Prediction Using Wavelet Transform and Deep Learning

Comparing LSTM and CNN-LSTM Models

Finding Mispriced Stocks with a 6 Factor Model

Using the Fama-French 5-Factor Model Plus Momentum to Identify Undervalued Stocks and Analyze Alpha Contributions

Testing the "Internal Bar Strength" strategy

Looks more or less OK.

How to detect Hidden Market Patterns with Latent Gaussian Mixture Models

Setting up a Portfolio of Futures Trading Strategies

The holy grail of investing: Uncorrelated Strategies

Trading Strategies: Double Moving Average Crossovers

Learn how to implement and backtest the Double Moving Average Crossover Strategy in Python to identify potential buy and sell signals in trending markets.

The simplest football betting strategy I’ve ever designed

Volume Spread Analysis (VSA) Strategy: Quantifying Market Action for Trading Signals with Rolling Backtesting

Ditch Excel: Build a Live-Updating Trading Dashboard in Notion with Python

Dynamic Risk Management with a Volatility-Adjusted Grid Strategy

Fractal Adaptive Moving Average (FRAMA) Strategy? Backtesting using Python and Backtrader

Unsupervised ML in Algorithmic Trading

Generating Trend Lines Algorithmically

Manual Trend Lines are Subjective and Slow. Use Multi-Anchored Regressions to Find Direction, Strength, and Confluence.

How to Perform Bitcoin Price Feature Engineering Using Python

Understanding Bitcoin Price Behavior Through Statistical and Visual Analysis

Stock Price Forecasting: Gated Recurrent Unit (GRU)

Using Gated Recurrent Units to Predict Future Stock Trends with Python

Build a Lightning-Fast Research Database: Polars with DuckDB

Algorithmic Trading with Hedge Fund Level Analytics with Polars and DuckDB

Building a Production-Ready Mean Reversion Strategy

IBS + Momentum Analysis

Understanding Volatility Drags: A Stochastic Approach to Leveraged Investing

Exploring the relationship between leverage, volatility, and returns.

I Handed ChatGPT $100 to Trade Stocks — Here’s What Happened in 2 Months.

What happens when you let a chatbot play Wall Street? It’s up 29% while the S&P 500 lags at 4%.

Filtering Through Market Noises: The Time-Decay Adaptive Exponential MA