
161: Option Omega Review, Backtest, Strategy, and Automation
No se pudo agregar al carrito
Solo puedes tener X títulos en el carrito para realizar el pago.
Add to Cart failed.
Por favor prueba de nuevo más tarde
Error al Agregar a Lista de Deseos.
Por favor prueba de nuevo más tarde
Error al eliminar de la lista de deseos.
Por favor prueba de nuevo más tarde
Error al añadir a tu biblioteca
Por favor intenta de nuevo
Error al seguir el podcast
Intenta nuevamente
Error al dejar de seguir el podcast
Intenta nuevamente
-
Narrado por:
-
De:
🎁 50% OFF: Option Omega (code SMOT) • Alpha Crunching (code SPX50) — grab both and build + automate your SPX playbook.
This episode is a fun, nerdy deep-dive with Troy and Matt from Option Omega. We cover how to build realistic backtests for options (especially 0DTE) and when it makes sense to automate entries/exits so you’re not chained to the screen. We also walk through a few trade structures—including the much-misunderstood Reverse Iron Condor (RIC)—and talk about portfolio-level thinking: position sizing, diversification across edges, and why “one-lotting” more often than not can save your sanity.
What we cover:
- Why end-of-day data lies for options backtests and how 1-minute, intraday pricing changes the conclusions (stops, profit targets, and whether you even got filled).
- The rise of 0DTE and why intraday realism matters way more than it did for 45–90 DTE trades.
- The “Punisher”: stress-testing backtests with slippage, fills, and tougher assumptions so results hold up in live trading.
- Liquidity matters: why OO focuses on top tickers (SPX, SPY, QQQ, etc.), and the pros/cons of instruments like XSP.
- RICs (Reverse Iron Condors) as long-gamma plays: when long premium + the right signal can still have positive expectancy, and sizing so a few losses don’t nuke the account.
- Credit-spread philosophy: structure ≠ edge. Edge comes from when you put it on (signals), then you pick the simplest structure that monetizes that edge.
- Automation better than willpower: broker-resting stops, time windows, and signal-gated entries so your plan runs even when you’re walking the dog.
- Sizing & psychology: allocations as a strategy; why many traders should downshift to one-lots more often; diversifying edges (theta harvest + long-gamma + price-action) on the same ticker.
- My ASD signal (Alpha Crunching): using Average Strength Deviation as a weekly, day-of-week filter; combining ASD with simple MAs/EMAs for “aggressive” ATM put-credit spreads; converting those rules into hands-off automations.
- Broker support today: Schwab, Tastytrade, Tradier (IB not currently supported for U.S. retail cloud API).
Key takeaways:
- Backtests need intraday realism or they’re just stories.
- Structure is just the container; edge = timing + conditions.
- If your edge is “market stability”, credit spreads monetize it better than naked long calls.
- Automation lets you run more strategies with smaller per-trade risk and fewer emotional mistakes.
- Test harshly (slippage, fills, stops) so live results rhyme with backtests.
Resources & links:
- 🔧 https://OptionOmega.com (backtesting + automation) — Use code SMOT for 50% off.
- 📈 https://AlphaCrunching.com (signals, forecasts, ASD/WTR/TTR, weekly trade ideas) Use code SPX50 for 50% off first year.
Todavía no hay opiniones