The core strategy, and the one with a documented edge: selling insurance rather than buying it. On average options are priced richer than the volatility that actually shows up โ the "volatility risk premium" โ so a disciplined seller of cash-secured puts collects that spread over time. The CBOE PUT index has matched the S&P 500's return at roughly two-thirds of the risk since 1986.
The one genuinely intraday edge with a top-journal pedigree (Gao, Han, Li & Zhou, Journal of Financial Economics, 2018): on the market index, the first half-hour's return predicts the last half-hour's return in the same direction โ strongest on high-volume, high-volatility, and macro-news days.
Goal: run only strategies with a documented, cost-surviving edge โ proven on paper against live market data before any real capital is considered.
The pivot (July 2026): the original YouTube-sourced strategies were retired after a review showed they had no real edge once slippage and honest fill-logging were counted โ the profits lived in the logs, not the account. The book was rebuilt around two evidence-based edges: the volatility risk premium (the wheel) and intraday momentum (SPY).
Diversification of edge: the wheel harvests option premium over weeks across many names; intraday momentum takes a single daily directional bet on the index. The two are largely uncorrelated.
Risk framework: a shared $25,000 position cap enforced by risk_guard. A losing
day sets a halt that requires a manual resume_trading.py โ nothing auto-resumes after losses.
Operations: everything runs in Docker on the NAS via supercronic, scripts are watched for crashes, and code deploys automatically via git pull. Morning plan, end-of-day results, and a Friday scorecard by email.
What success looks like: the account's real, post-fill equity climbing over time โ not the churn of trades that look profitable in a log but aren't.