ThetaTrap is a bounded Alpaca paper-options agent inspired by a YouTube idea: earnings can make premium expensive, so a defined-risk structure may benefit when volatility falls. Autonomy adds harder problems: stale quotes, inconsistent four-leg data, drifting model output, and ambiguous order timeouts. ThetaTrap therefore separates judgment from control. The frozen universe has seven eligible events and two explicit exclusions, DELL and NTAP. Featherless-hosted Qwen calls approved tools to inspect eligible opportunities and can veto risky event context. Deterministic Python builds one-contract iron condors, caps maximum loss at the lower of $500 or 0.5% of equity, and allows one broker entry attempt per strategy date after reviewing up to two candidates sequentially. Every Alpaca read and order uses the official MCP server. A persistent worker handles reconciliation, cancellation, and next-morning exit. ThetaTrap uses Alpaca Basic indicative data and simulated paper fills. It does not demonstrate proven profitability or live-capital readiness.
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