I Built an LSTM Trading Bot That Beats Buy-and-Hold on 67% of Tickers — Here's What I Learned

Every quant's journey starts the same way: "What if I could predict the market?" Most quit after their first linear regression spits out noise. I didn't quit — I built GodFin, an LSTM-based trading bot that generates alpha over buy-and-hold on 67% of tested tickers. Here's the honest story of what worked, what didn't, and what I learned. What Is GodFin? GodFin is a Python-based algorithmic trading system I built from scratch. It uses deep learning to generate daily buy/sell/hold signals for individual equities. The core idea: markets have short-term sequential patterns that a well-tuned recurrent neural network can exploit — not perfectly, not always, but often enough to beat passive holding. Important disclaimer upfront: GodFin runs on paper trading only. Every result I share here is from simulated execution, not live capital. I'm not here to sell you a dream — I'm here to show you what's technically possible and where the walls are. The Architecture: LSTM + Attention The model stack