Build a bot. Backtest it honestly.
Pick a set of trade rules, then press Run backtest to see how those rules would have done on real
past prices — losses shown, nothing cherry-picked.
New to options? What each setting means
A “bot” here is just a set of rules for one options trade, tested over and over on history.
- Underlying — the stock or fund the trade is built on (e.g. SPY tracks the S&P 500).
- Strategy — the shape of the trade. Credit = you get paid up front and want the price to stay calm (defined, limited risk). Debit = you pay up front and want a big move.
- Short Δ (delta) — how far out-of-the-money you sell. 0.16 ≈ about one standard deviation away — roughly an 84% chance it stays out of the money. Smaller Δ = safer but smaller payout.
- Wing width $ — the distance to your protection. It caps your maximum loss. Wider = more premium collected, but more you can lose.
- DTE — days to expiration when the trade opens. Exit DTE — close early when this many days are left (avoids risky last days).
- Profit target — take profit once you’ve captured this share of the credit (0.5 = 50%). Stop ×credit — cut the loss if it grows to this multiple of the credit (2 = stop at a 2× loss).
- New position every N days — how often the test opens a fresh trade. Pricing — Model is a fast estimate; Real NBBO uses actual past option quotes (slower, most honest).
Reading the results: Win % = how often it made money · Profit factor = wins ÷ losses (above 1 is good) · Expectancy = average $ per trade · and always read the ⚠ assumptions box — a high win rate can still lose money.
Strategy
Set your parameters and hit Run backtest. Results appear here with the full assumption list.