The result for June 18 was simple, but a little uncomfortable: four MT5 auto-trading bots closed the day at -464 yen. The portfolio won 27 out of 36 trades, so the surface number looked fine. Still, the payoff ratio was only 0.27, and that is where the day fell apart.

This was not a day where the bots failed to find entries. They found plenty. The real question was whether they knew when to stop believing those entries. I think the problem sits mostly at the exit, though the evidence is not perfectly clean yet.

Bot-by-bot results

■ GateGrid AI -155 yenSymbol: GBPUSD-Closed trades: 21Record: 17W / 4LWin rate: 81.0%Gross profit: +955 yenGross loss: -1,110 yenPayoff ratio: 0.20Max loss: -443 yen

■ BoundSniper Bot +20 yenSymbol: USDJPY-Closed trades: 7Record: 6W / 1LWin rate: 85.7%Gross profit: +446 yenGross loss: -426 yenPayoff ratio: 0.17Max loss: -426 yen

■ LLMBridgeTrader -92 yenSymbol: EURUSD-Closed trades: 5Record: 3W / 2LWin rate: 60.0%Gross profit: +348 yenGross loss: -440 yenPayoff ratio: 0.53Max loss: -241 yen

■ MLScore GF-T4 GB -237 yenSymbol: GBPJPY-Closed trades: 3Record: 1W / 2LWin rate: 33.3%Gross profit: +265 yenGross loss: -502 yenPayoff ratio: 1.06Max loss: -252 yen

■ Total -464 yenClosed trades: 36Record: 27W / 9LWin rate: 75.0%Gross profit: +2,014 yenGross loss: -2,478 yenPayoff ratio: 0.27Max loss: -443 yenSeries day: Day 1 in this provided logCumulative P&L: -464 yen

Today’s theme: entry confidence did not protect the downside

The most interesting contrast was not between winners and losers. It was between win rate and damage size. GateGrid AI won more than 80% of its exits, but still ended negative. BoundSniper Bot won almost everything and barely escaped positive. Seeing a -443 yen single loss inside GateGrid made me pause, because the rest of the day was mostly small repairs.

The ML score bot was even more direct. The GBPJPY engine printed candidate=SELL decision=ENTER signal=SELL score=95.09 trade=done, but that first SELL later closed at -252 yen. A score over 95 feels strong on screen. In the account report, it was just the first of two stop losses before the final win.

GateGrid AI

GateGrid AI’s final number was -155 yen, but that result hides a rough start. The first two closed trades were -379 yen and -443 yen, and the log says it plainly: [CAP] Basket max-loss exit: pnl=-822.00 <= -800.00. That line has more weight than the final daily total. The bot spent the rest of the session clawing back small profits, but the early basket damage was too large.

The win rate was 81.0%, which sounds good until the payoff ratio shows up at 0.20. Average winners were small; average losers were too heavy. This is the kind of day where the grid logic can look active and controlled, while the account curve is still paying for one bad pocket of exposure.

BoundSniper Bot

BoundSniper Bot was the only bot to finish positive, but only by +20 yen. That number is almost funny after a 6W / 1L record. I had to look twice, because a win rate of 85.7% usually feels like it should leave more behind.

The explanation is blunt: six wins made +446 yen, and one loss took back -426 yen. Payoff ratio was 0.17. BoundSniper is not using the same kind of LLM planning as LLMBridgeTrader, so I do not want to force the “AI exit” story onto it. But as a trading system, it is showing the same design issue: one bad exit can consume a clean run of small closes.

LLMBridgeTrader

LLMBridgeTrader lost -92 yen, but it gave the most useful AI log of the day. Near the final EURUSD trade, the model opened a BUY with a mean-reversion setup: RSI oversold bounce in weak ranging market. Then, fifteen minutes later, it chose to close with position_action":"CLOSE" and the exit reason Weak ADX and bearish structure favor closing. That close finished as a +90 yen trade.

This is the part I like. The bot was not only saying BUY or SELL. It was also changing its mind about holding the position. The full day was still negative because the earlier two losses were larger than the later wins, but the exit behavior itself was not random. It saw weak trend conditions and got out. That is closer to the experiment I want this bot to run.

MLScore GF-T4 GB

MLScore GF-T4 GB had the lowest win rate at 33.3%, yet its payoff ratio was the best of the group at 1.06. That sounds contradictory, but it fits the trades: two losses around -250 yen, then one win at +265 yen. The structure was not terrible. The timing was.

The entries were all SELL signals with strong scores, including 95.09, 92.89, and 93.5. The issue is that high score did not mean high follow-through. If this bot keeps using score as the main gate, the next layer probably has to judge when a high-score setup is already late.

Wrap-up

The day ended at -464 yen. Not a disaster, but not a clean loss either. The strange part is that the portfolio was right often enough. It just did not get paid enough when right, and it paid too much when wrong.

For this series, today’s lesson is not “raise the win rate.” The bots already did that. The better question is whether each bot can recognize the moment when its original idea has expired. That is where the next improvement probably lives.

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit fxaibotlab.substack.com