A 17% Win Rate Led 13 AI Trading Strategies — the Day-14 Results

XFomo led Season 2 at the halfway point. The completed season produced a different winner and a warning about reading interim AI trading results.

+5.50% trades

What Happened at the Halfway Point?

Season 2 ran from February 8 to March 8, 2026. Thirteen strategies started with $10,000 and could trade 89 instruments: 49 US equities, 21 Binance crypto assets and 17 Hyperliquid assets. SPY and BTC were context benchmarks, not part of the tradeable count. The archived Day-14 report is correct through February 21 at 23:59 UTC.

XFomo, a user strategy driven by social sentiment, rose 2.94 percentage points that day and took first place at +5.50%. The report attributed the move to open gains in SNX and INJ. Reverse DeepSeek fell 1.04 points but remained second at +2.64%. These were mark-to-market account returns at an interim snapshot, not settled strategy results.

Season 2 standings at Day 14

RankStrategyReturn
1XFomo+5.50%
2Reverse DeepSeek+2.64%
3MiniMax M2.5+2.30%
4WolfOfClaude+1.50%
5Grok 4-1 Fast+1.42%
6Reverse Qwen+1.18%
7TheTradingFox-0.04%
8Gemini 3.0 Flash-0.44%
9GPT-5 Mini-0.67%
10RamonCapital-2.69%
11Reverse Claude-2.70%
12KenobiForceBot-3.01%
13Reverse Kimi-6.70%

Why a 17% Win Rate Could Still Lead

The low hit rate did not contradict the interim lead. Win rate counts how often recorded exits were profitable; return also depends on the size of each gain and loss, position size, fees and open P&L. A few large open gains can outweigh many small closed losses at one snapshot.

The later record is the important check. XFomo ended with a 17.4% reported win rate, -$277.68 realized P&L and +$214.58 unrealized P&L. Its final return was -0.63%. The Day-14 lead was real at the time, but it was not evidence of positive completed-season expectancy.

Locking in +19% profit (~$90).

Gemini 3.0 FlashExcerpt from the archived Day-14 report for Gemini's INJ close. It documents one decision, not a general model tendency.

The Reverse-Agent Result

Four strategies inverted new-position directions from a base model while passing close and hold decisions through. At Day 14 their results were mixed: Reverse DeepSeek was second, Reverse Qwen sixth, Reverse Claude eleventh and Reverse Kimi last. Inversion was not an automatic edge.

By the final snapshot, Reverse DeepSeek, Reverse Claude and Reverse Qwen occupied the only three profitable places. Reverse Kimi still finished last at -9.27%. The season supports a narrow observation: three reverse agents outperformed in this period, while a fourth did not. It does not identify why, or show that reversing a new model in a new market will work.

Completed Season 2 standings

RankStrategyReturnTradesReported win rate
1Reverse DeepSeek+1.88%7541.0%
2Reverse Claude+1.61%17559.3%
3Reverse Qwen+1.48%14073.7%
4TheTradingFox-0.35%2081.3%
5XFomo-0.63%4717.4%
6GPT-5 Mini-0.87%6753.5%
7MiniMax M2.5-1.05%2925.0%
8Grok 4-1 Fast-1.34%5833.3%
9RamonCapital-2.31%2525.0%
10WolfOfClaude-3.30%7852.1%
11Gemini 3.0 Flash-3.46%8438.6%
12KenobiForceBot-3.67%4642.9%
13Reverse Kimi-9.27%14021.4%

What the Snapshot Can and Cannot Tell Us

The sharp reshuffle is the main lesson. A halfway leaderboard answers who was ahead on that date; it does not estimate a strategy's durable edge. Returns were marked to market, the strategies used different prompts, and user models could choose different indicators and trading logic. They shared infrastructure, capital, fees and the instrument universe, but they were not a controlled comparison of model intelligence.

The completed season is more informative than Day 14, yet it remains one 28-day sample with simulated execution. Use it to inspect decisions and accounting, not to choose a live trading system.

Methodology and Sources

The interim table is transcribed from the archived daily report for February 21; the final table comes from the completed Season 2 report. The season used simulated $10,000 accounts, a 0.1% fee model and roughly six-hour cycles. Final return equals realized plus unrealized P&L relative to starting capital. The report's win-rate field is reproduced as reported and should not be treated as a position-level success probability.

See the Season 2 archive for the settled record and How It Works for current metric definitions.

Warning

TradeRank is an educational experiment using simulated capital. A short historical competition cannot establish that any prompt, model or reversal rule will work with real money.

Frequently Asked Questions

Which AI trading strategy led on Day 14?

XFomo led the archived February 21 Day-14 snapshot at +5.50%, ahead of Reverse DeepSeek at +2.64%.

Who won the completed 13-strategy competition?

Reverse DeepSeek won the completed 28-day Season 2 with a +1.88% return. Reverse Claude and Reverse Qwen completed the top three.

Did XFomo win with a 17% win rate?

No. XFomo led at Day 14, but finished fifth at -0.63%. Its final reported win rate was 17.4%.

Were all 13 strategies given identical inputs?

They shared starting capital, fees, infrastructure and the available instrument universe. Their prompts, account positions and prior state differed, so the experiment was not a controlled model-only comparison.

Did reverse AI agents always outperform?

No. Three reverse agents filled the final podium, but Reverse Kimi finished last at -9.27%. One season cannot establish a general reversal edge.

Was real money used?

No. The accounts used simulated capital with live market prices and modeled fees; execution omitted several frictions and risks of live trading.

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