A 72.2% win rate should have made this a decent trading day. It did not. Across four MT5 bots, the combined record was 13 wins and 5 losses, but the final result was -248 yen.

For this log, I am treating June 19, 2026 as Day 1 of the published series. Cumulative P/L is now -248 yen. The important part was not that the bots failed to find winners. They found plenty. The problem was that the average loss was too large compared with the average win.

Bot results

■ GateGrid AI +136 yenSymbol: GBPUSD-Record: 7W / 1LWin rate: 87.5%Gross profit: +296 yenGross loss: -160 yenPayoff ratio: 0.26Max loss: -160 yen

■ BoundSniper +98 yenSymbol: USDJPY-Record: 3W / 0LWin rate: 100.0%Gross profit: +98 yenGross loss: 0 yenPayoff ratio: N/AMax loss: 0 yen

■ LLMBridgeTrader -30 yenSymbol: EURUSD-Record: 2W / 3LWin rate: 40.0%Gross profit: +254 yenGross loss: -284 yenPayoff ratio: 1.34Max loss: -132 yen

■ MLScore GF-T4 GBPJPY -452 yenSymbol: GBPJPY-Record: 1W / 1LWin rate: 50.0%Gross profit: +150 yenGross loss: -602 yenPayoff ratio: 0.25Max loss: -602 yen

■ Total -248 yenRecord: 13W / 5LWin rate: 72.2%Gross profit: +798 yenGross loss: -1,046 yenPayoff ratio: 0.29Max loss: -602 yenRunning day: Day 1Cumulative P/L: -248 yen

Today’s theme: the win rate looked fine, the payoff ratio did not

The headline number was 72.2%. On paper, that sounds like a day where the bots were mostly right. But the average winning trade was about 61 yen, while the average losing trade was about 209 yen. That is the part that explains the result.

The bots did not need many losing trades to finish negative. One -602 yen loss from MLScore GF-T4 GBPJPY was enough to offset a large part of the smaller wins from the other systems. This was a day where the hit rate gave a comfortable impression, but the payoff structure told a different story.

GateGrid AI: profitable, but still dependent on small wins holding up

GateGrid AI finished at +136 yen, the best net result among the four bots. The record was 7 wins and 1 loss, with an 87.5% win rate. That looks strong, but the payoff ratio was only 0.26, so the wins were frequent and small.

The AI layer was active. One log line showed the system allowing a BUY grid with sig=BUY, conf=0.75, timing=TREND_FOLLOW, and a reason beginning with “ML DEFENSIVE.” That tells me the bot was not simply stacking orders without a filter. It was passing through a mix of ML scoring and LLM judgment.

The exit side still needs attention. The log repeatedly showed: “price hit but pnl=-348.00 <= 0; keep monitoring.” As a basket rule, that makes sense. Price touched the target area, but the whole basket was not profitable yet. Still, this kind of rule can also keep exposure open longer than expected. GateGrid AI made money today, but the small-win structure means the exit design has to stay tight.

BoundSniper: simple execution, clean result

BoundSniper finished at +98 yen with 3 wins and no losses. This bot is not trying to interpret the market through an LLM. Its job is to receive TradingView signals through a webhook and execute them on MT5.

The live monitor showed the webhook server, cloudflared tunnel, and MT5 trader all running, with public health marked OK. That is not a dramatic trading insight, but it matters. A signal relay bot first has to be reliable as infrastructure.

The profit was small, but the result was clean. BoundSniper did not add unnecessary complexity to the day. It received signals, executed them, and closed positive.

LLMBridgeTrader: lower win rate, better loss shape

LLMBridgeTrader finished at -30 yen. The win rate was only 40.0%, with 2 wins and 3 losses, but the payoff ratio was 1.34. That makes this bot more interesting than the final P/L suggests.

The AI log included the exit reason: “Close managed position as strong downtrend invalidates reversal setup.” This is the part worth following over time. The bot is not only choosing entries; it is also explaining when the original trade idea no longer holds.

There were also mean-reversion BUY ideas inside a strong bearish environment. One log phrase was: “Oversold RSI 16 in strong bear trend indicates potential pullback.” That logic is understandable, but it can be fragile. Oversold conditions inside a trend do not always mean reversal. Still, the largest loss was -132 yen, so the damage was contained compared with the GBPJPY bot.

MLScore GF-T4 GBPJPY: the one trade that changed the portfolio

MLScore GF-T4 GBPJPY was the main drag on the day. It had only two closed trades, one win and one loss. The win was +150 yen, while the loss was -602 yen. That left the bot at -452 yen.

The score log showed candidate=SELL decision=ENTER signal=SELL score=93.5 trade=done. The score was high, the trade was accepted, and the system entered. The result later became the largest loss of the day.

This does not mean the score model is broken. A high-score setup can still lose. The issue is that the loss size was too large relative to the win size. For GBPJPY, the next review should probably focus less on signal confidence and more on stop size, volatility adjustment, and daily loss limits.

Summary

Day 1 ended at -248 yen. Two bots finished positive, one was only slightly negative, and one large GBPJPY loss pulled the total below zero. The portfolio did not lose because it could not win trades. It lost because the losing trades were too heavy.

The result is a useful starting point for the series. Entry accuracy is visible and easy to talk about, but the exit design is where the real test begins.

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