April 15, 2025/
As options traders and learners, we often talk about the Greeks — delta, gamma, theta, vega, rho, and their second-order...
After running over 3,500 backtests across every S&P 500 stock, I wanted a better way to explore the data interactively.
So I built a Streamlit dashboard where you can filter by:
The goal is to quickly compare performance across strategies, spot outliers, and analyze trends.
You can view the full app locally or host it.
This dashboard brings the full experiment to life — and lets you explore which trading models work best, by sector or individual stock.
Whether you’re a trader, data scientist, or just curious about market dynamics, this app helps turn static results into actionable insights.
GitHub Link to notebook: GitHub
As options traders and learners, we often talk about the Greeks — delta, gamma, theta, vega, rho, and their second-order...
In Part I, we compared rule-based vs reinforcement learning (RL) trading strategies on AAPL using a 2-year backtest of daily...
This is the first post in a 3-part series where I explore how rule-based logic compares to reinforcement learning (RL)...
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