The Unexpected Profitability of Adaptive Local Linear Regression in Short-Term Trend-Following Strategies of Growth Stocks
Discovering Profitable Algorithmic Trading Strategies in Python Using Bias-Free Expanding-Window Linear Regression: Backtesting and Out-of-Sample (OOS) Evaluation of Palantir (PLTR) Risk-Adjusted Returns
Volatility Clustering in an Intraday Multi-Asset Universe Using Merton–Hawkes Jump-Diffusion Simulations in Python
Combining return bootstrapping with self-exciting jump dynamics across stocks, ETFs, indices, and BTC for market microstructure analysis and Monte Carlo scenario testing 🤖💡
