Claude algo bot week 2, 100% wins

TastyTrading · 2026-06-22T22:39:27+00:00

=== SUMMARY === - The author describes a 5-day live trading experiment using an AI agent (Claude via MCP connector) that trades either TQQQ or SQQQ once per day, claiming a 100% win rate so far (4 trades, 1 skip). - Backtest results (in/out of sample) show 45% annualized return, 6.6% max drawdown, 2.07 Sharpe ratio — but the methodology is vague and sample size is tiny. - The thesis is that a simple single‑directional bet on leveraged ETFs, filtered by overnight gap rules, can generate consistent profits with minimal drawdown. - **Quality assessment**: Noise. Extremely short track record (4 trades), no disclosed logic or risk parameters, and backtest details are insufficient. Likely overfitted or cherry‑picked. === SENTIMENT === NEUTRAL === TRADE IDEAS === No actionable trade ideas in this post. The author does not provide a current directional call or specific entry/exit for any ticker. The post is a progress update on an experimental bot, not a trade recommendation. === COMMENTS SUMMARY === Community comments are mostly jokes or off‑topic (e.g., “see you in gym” alternative, requests for money when hitting $1M). No substantive counter‑arguments or additional data are provided. The lack of serious discussion reinforces the post’s low credibility.

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Summary

The author describes a 5-day live trading experiment using an AI agent (Claude via MCP connector) that trades either TQQQ or SQQQ once per day, claiming a 100% win rate so far (4 trades, 1 skip).
Backtest results (in/out of sample) show 45% annualized return, 6.6% max drawdown, 2.07 Sharpe ratio — but the methodology is vague and sample size is tiny.
The thesis is that a simple single‑directional bet on leveraged ETFs, filtered by overnight gap rules, can generate consistent profits with minimal drawdown.
Quality assessment: Noise. Extremely short track record (4 trades), no disclosed logic or risk parameters, and backtest details are insufficient. Likely overfitted or cherry‑picked.

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