AI FX Bot Lab: Real Trading Experiments
A real-time experiment from Japan testing whether AI can actually trade forex. The host builds and runs AI-assisted FX trading bots using MT5, Python, machine learning, and local LLM tools. Episodes share live results, failures, risk lessons, and incremental bot improvements across rule-based, AI-driven, and ML plus LLM hybrid systems. It is an educational project log, not financial advice.
エピソード
Five Winning Trades Were Erased by One Stop: Exit Size Ruled the Day
ConclusionAugust 25 ended at -¥370 in realized P&L. Across the six bots, there were 19 winning trades and 25 losses, for a 43.2% win rate. Gross profit was +¥494, gross loss was -¥864, and the combined payoff ratio came in at 0.75.The most revealing comparison was not GateGrid’s 21 losing legs. BoundSniper Bot and BoundSniper Bot2 went a combined five wins without a loss and earned +¥180. ML_Score
34 Losing Legs, Yet a 1.27 Payoff Ratio: GateGrid’s Loss Wasn’t the Scariest One
ConclusionThe six-bot lineup closed August 24 at -¥496. Across the confirmed exits, there were 27 wins, 37 losses and one break-even. Excluding the flat trade, the win rate was 42.2%. Gross profit reached +¥665, gross loss was -¥1,161, and the combined payoff ratio was 0.78.The number that caught my attention was not the total loss. GateGrid AI produced 34 losing legs, yet its largest single loss
One Small Loss Was Enough: LLMBridgeTrader Led the Six Bots With a 4.18 Payoff Ratio
The six bots finished the session at +476 yen across 41 closed trades.LLMBridgeTrader was the strongest contributor at +346 yen. BoundSniper followed at +214 yen, ML_ScoreAnalyst added +72 yen, while GateGrid AI lost 140 yen and MAribbonTrader slipped 16 yen below zero.The interesting number for me is not LLMBridgeTrader’s 80% win rate.It is the 4.18 payoff ratio.Four winners produced +368 yen, wh
Exit Control, Not Win Rate, Decided the Day
ConclusionThe Aug. 20 run finished at +1,236 yen across the six currently documented Bot instances. Four finished positive and two negative. The result looks comfortable at first glance, but the interesting part was not the total. It was how differently the Bots lost.GateGrid AI ended slightly negative at -35 yen, yet its worst realized loss was only -19 yen. MAribbonTrader lost -261 yen with a ma
One Friday Carryover Broke Monday’s Result — So I Changed the MAribbon Bot
August 17, 2026 — Five MT5 bot families finished at -342 yen. The bigger lesson was not entry accuracy. It was what one position was allowed to do after Friday.ConclusionThe five-bot run ended with a realized P/L of -342 yen.That number looks like an ordinary losing day until I separate MAribbonTrader from its Friday carryover. Its three positions opened on Monday made +206 yen in total. The old G
Every Bot Finished Green, but Two One-Trade Systems Made Two-Thirds of the Money
ConclusionEvery live account finished the day with positive realized P&L. That sounds cleaner than the day actually was.The six accounts combined for +¥313, with 25 winning exits and 14 losing exits. The overall win rate was 64.1%, but the payoff ratio was only 0.84. The average winner was about ¥37.5 while the average loser was about ¥44.6, so the day still depended on winning often enough.The co
Two Bots Erased the Other Four’s +¥218
The interesting part of August 13 was not that the six accounts lost ¥1,080. It was how concentrated that loss was.BoundSniper, bb_pullback_rider, MLScore, and BoundSniper Bot2 combined for +¥218. GateGrid and MAribbon then produced -¥1,298 between them, turning the whole group negative. The systems are built very differently: GateGrid uses a multi-stage ML/LLM filtering concept, MAribbon asks Qwe
A 59% Win Rate Still Lost Money: GateGrid’s Exit Math Was the Problem
Bottom LineThe six-bot portfolio closed August 11 at -¥55, with 32 wins and 22 losses. A 59.3% win rate does not look bad on its own. The uncomfortable number was the 0.66 payoff ratio: the average winner was about ¥36, while the average loser was ¥55.GateGrid AI made the problem easiest to see. It won 23 of 43 closed trades and still lost ¥295 because its average loss was much larger than its ave
One -¥301 Loss Flipped the Whole Day: Five MT5 Bots Closed at -¥294
ConclusionThe five-bot book finished August 10 at -¥294, with 11 wins and 13 losses. Gross profit was +¥590 against -¥884 in gross losses, giving the whole group a 45.8% win rate and a 0.79 payoff ratio.But the daily total hides the main story. BoundSniper took one -¥301 loss; remove that single trade from the arithmetic and the book would have ended at +¥7. I stared at that -¥301 longer than I di
Don’t Lower Your Standards Just Because the Numbers Are Bad
A trader takes two losses and looks for a third trade.A founder sees no sales and cuts the price.A creator sees low engagement and changes the entire content strategy.Doing something feels better than doing nothing.Action creates the feeling that the problem is being handled.But some of our worst decisions begin exactly there.The original result was bad.Then pressure made us lower the standard.The
![[AI Trading Log] Whispering Winners, Loud Losers](https://substackcdn.com/feed/podcast/8974823/post/210155070/e2aeaf7ab2e9ac399ba2a8161e2b1853.jpg)
[AI Trading Log] Whispering Winners, Loud Losers
On August 5 and 6, 2026, we ran a parallel test of six MT5 automated trading bots. The results across these two days provided the ultimate case study in why exit discipline—rather than entry prediction—dictates the survival of an automated trading portfolio.When our losses were allowed to speak at full volume, we lost money despite a solid win rate; when we kept our losses quiet, even a modest day
Ten Wins Still Ended Negative: Five MT5 Bots Exposed an Exit Problem
The five bots closed 13 trades on August 4 and won 10 of them. That sounds like a strong session, but the realized result was negative 16 yen after swap.The problem was not a lack of winning trades. It was the size and shape of the losses. The average winner was 62.6 yen, while the average loser was 208 yen, leaving the combined payoff ratio at only 0.30.BoundSniper Bot won four of five closed tra
![[AI Trading Log] Exits Made the Difference: Five-Bot Portfolio Covers Each Other’s Weaknesses (July 30 to July 31)](https://substackcdn.com/feed/podcast/8974823/post/209324466/e2aeaf7ab2e9ac399ba2a8161e2b1853.jpg)
[AI Trading Log] Exits Made the Difference: Five-Bot Portfolio Covers Each Other’s Weaknesses (July 30 to July 31)
Hello! I have been running a parallel test of five distinct MT5 automated trading bots to evaluate their real-world behaviors. For the two days of July 30 and 31, the bots successfully covered each other’s weaknesses, resulting in two consecutive days of positive returns. However, looking closely at the data reveals a stark contrast between successful exits and remaining challenges.July 30 Overall
![[AI Trading Log] Surviving FOMC and the Trap of High Win Rates:](https://substackcdn.com/feed/podcast/8974823/post/209047184/e2aeaf7ab2e9ac399ba2a8161e2b1853.jpg)
[AI Trading Log] Surviving FOMC and the Trap of High Win Rates:
Hello! I have been running a parallel test of five distinct MT5 automated trading bots to evaluate their real-world behaviors and AI decision-making processes. July 28 and 29 provided incredibly insightful data for the portfolio. On July 29, I deliberately left all five bots running through the highly volatile FOMC event instead of shutting them down. The data from these two days delivered a harsh
The Exit Layer Won: Five MT5 Bots Closed at +¥624
ConclusionThe five-bot portfolio finished the session with a realized gain of ¥624. Three bots were positive, one did not trade, and LLMBridgeTrader closed four positions without a single win.The -¥195 stop on its first trade made me pause. The later losses shrank to -¥80, -¥16, and -¥5, so the bot did become quicker about getting out, but it never found a profitable exit during the reporting wind
Winning 57% Wasn’t Enough: GateGrid’s Exit Math Sank the Five-Bot Day
The conclusionJuly 24 was not mainly an entry problem. It was an exit problem.The five-bot portfolio ended the day at -¥461 in realized P/L. GateGrid AI won four of its seven closed trades, giving it a 57.1% win rate, but the payoff ratio was only 0.28. Its winners averaged ¥53, while its losers averaged about ¥189. The final -¥296 loss made me stop for a moment; several small wins had done almost
Stops That Paid: Two AI Bots Banked ¥599 and Carried the Five-Bot Run
ConclusionJuly 23 ended with a realized profit of ¥574 across the five-bot lineup. Only three bots had closed trades in the supplied account statements, but two of them did enough: LLMBridgeTrader earned ¥398 and MAribbonTrader added ¥201, while GateGrid AI finished slightly negative at ¥25.What caught my attention was not just the total. Several exits marked as stop-loss orders still closed in pr
Four Wins, Two Losses, Still Down: The Exit Math Beat the Hit Rate
The five-bot run finished at **-221 yen**, even though the closed trades produced four wins and only two losses. The combined win rate was 66.7%, but the payoff ratio was just 0.27. That gap tells the story better than the hit rate does.GateGrid AI posted the largest loss at -351 yen. MAribbonTrader won two of its three trades, yet one -125 yen stop erased the +101 yen collected from the first two
If You Keep Fixing the Strategy, You May Lose the Ability to Understand It
The day after a loss, every strategy appears easy to improve.The stop was too wide.The entry was too early.The session was wrong.The filter was too weak.There is always something that could have prevented the latest losing trade.So we change it.The next trade loses too.We change something else.Eventually, the strategy has been modified so many times that we can no longer explain what improved or w
It Wasn’t the Entry or the Exit: Why I Moved GateGrid AI From GBPUSD to EURUSD
My five MT5 trading bots finished July 20 with a combined realized loss of ¥542.The closed trades produced three wins and five losses. The average winning trade made ¥32.7, while the average losing trade lost ¥128. That gives an average payoff ratio of only 0.26.BoundSniper Bot was the only system to finish positive, earning ¥16.GateGrid AI lost ¥151, LLMBridgeTrader lost ¥167, and ML_ScoreAnalyst
The Day Was Lost at the Exit, Not the EntryJuly 17
ConclusionThe five-bot portfolio finished July 17 at -1,362 yen realized, with another -175 yen unrealized on an open ML_ScoreAnalyst position. The combined mark-to-market result was therefore -1,537 yen.The loss itself is not the most useful part of the record. Exit structure separated the bots far more clearly than entry style did. MAribbonTrader won only one of two trades, yet ended positive be
The Illusion of Win Rate and the Challenge of the “Exit”
Looking back at the operating logs of the AI trading bots on July 15 and 16, a clear and somewhat painful theme has emerged. It is the reality that “the timing of the exit (closing a position) is far more important than the frequency or accuracy of the entry.”The Illusion of Win Rate and the Payoff Ratio (Lessons from July 15)On July 15, we ran four MT5 bots, ending the day with a total loss of -1
The Win Was Real, But the Open Loss Stole the Room
ConclusionClosed trades finished at +1,103 yen across the four bots. That sounds clean at first glance, and part of me wanted to leave it there. But BoundSniper carried an open floating loss of -641 yen, which pulled the effective result down to +462 yen. I paused at that number, not because it was disastrous, but because it reminded me how easily a good-looking day can become an exit problem.The
Do Not Trade the Warning
You can identify a reversal early and still lose the trade.Price makes a new high.Momentum fails to confirm it.The divergence looks clear.You sell.Price continues higher.You are stopped out.Another divergence appears.You sell again.The market keeps moving in the same direction.Eventually, the reversal may happen.But by then, your capital and patience may already be damaged.The warning was not nece
Weekly Report: The One Loss That Mattered More Than All the Wins
From July 6 to July 10, 2026, I continued running four MT5 automated trading bots in parallel.The four systems were:* GateGrid AI* BoundSniper Bot* LLMBridgeTrader* MLScore GF-T4 GBThe combined realized result for the week was -3,060 yen.On paper, it was simply a losing week.But when I reviewed the logs, the total loss itself was not what stood out most.The bots did not struggle to win trades.In f
![[AI Trading Log] Why a Win Rate Over 60% Isn’t Enough: The Heavy “Cost of Retreat” Shown in July 9-10 Tests](https://substackcdn.com/feed/podcast/8974823/post/206542074/e2aeaf7ab2e9ac399ba2a8161e2b1853.jpg)
[AI Trading Log] Why a Win Rate Over 60% Isn’t Enough: The Heavy “Cost of Retreat” Shown in July 9-10 Tests
I am currently running four MT5 automated trading bots (GateGrid AI, BoundSniper, LLMBridgeTrader, and MLScore GF-T4) simultaneously to verify their real-world behavior and performance.I have compiled the operational results for July 9 and 10.The harsh reality revealed by these two days of testing is that “no matter how high the win rate is, a single costly exit (stop loss) can destroy the portfol
Nine Wins Could Not Beat Seven Losses: The Payoff Ratio Dragged the Day Down
The four-bot portfolio ended the day at -620 yen realized, with no open positions left at the report cutoff. The headline record was 9 wins and 7 losses, so the day was not simply a wipeout. That is what makes it a little more annoying. More wins than losses, yet still a red result.The total gross profit was +961 yen, while gross loss reached -1,581 yen. The payoff ratio came out to 0.47, and that
One Win, Ten Losses: The Exit Problem Was No Longer Subtle
Today was not a day where the numbers needed much interpretation. Across the four bots, the closed trades came out to 1 win and 10 losses, with realized P/L at -1,976 yen. MLScore GF-T4 GB also left one GBPJPY short open at -109 yen, so the equity impact was -2,085 yen. That is not a huge amount in absolute scale, but the shape of it was uncomfortable.The only winning closed trade came from LLMBri
A 93.3% Win Rate Still Wasn’t Enough: The Week Exit Discipline Took Over the Story
ConclusionThe week ended at -2,007 yen, and the uncomfortable part is that the bots were not simply “bad at trading.” They found plenty of winning trades. GateGrid AI even had a day with a 93.3% win rate, which sounds almost too clean. But that number did not protect the portfolio.The real problem was exit quality. Across the week, several bots showed the same pattern: small wins piled up, then on
A 65.2% Win Rate Still Lost Money: The Exit Logic Broke First
The biggest result today was not the total loss itself. It was the shape of the loss. GateGrid AI won 15 out of 23 closed trades, which looks fine at first glance, then ended the day at -845 yen. I had to stop for a moment when I saw that number next to a 65.2% win rate, because this is exactly the kind of result that makes win rate feel comforting and dangerous at the same time.Across the four bo
One Bad Exit Defined the Day: Four MT5 LLM Bots on July 1
ConclusionThe combined closed result was +528 yen, so the day ended positive. Still, the clean number hides the part I kept staring at: the largest single loss was -414 yen on BoundSniper. A day can finish green and still leave a clear warning mark.LLMBridgeTrader was the strongest performer, with six closed winners and no losing trade. GateGrid AI also ended positive, but its payoff ratio was onl
A 93.3% Win Rate Still Wasn’t Enough
Four MT5 bot trade log for June 30, 2026The strange part of today was not that the portfolio lost money. The strange part was that one bot won 14 out of 15 closed trades and the four-bot total still finished at -974 yen. I had to look at that twice, because a 93.3% win rate usually feels like the kind of number you want to keep. Today it was only enough to keep GateGrid AI green, not enough to sav
80% Win Rate Still Lost: Four MT5 LLM Bots on June 29
ConclusionGateGrid AI won 8 out of 10 closed trades and still finished at -400 yen. That is the whole day in one line, and it is not a comfortable one. The bot kept collecting small wins, but one -729 yen loss cut through the sequence hard enough that I had to pause for a second.Across the four MT5 bots, the realized total came to -789 yen. The combined win rate was 60.9%, which does not look disa
A 73.9% Win Rate Still Lost Money: The Week I Stopped Trusting Entries and Started Rebuilding Exits
The headline from this week is uncomfortable, but useful: the bots were not simply bad at entries. Some of them were right more often than they were wrong, and that is exactly what made the result harder to ignore. Across the June 22–26 run, the total came in at -3,333 yen, and the number that bothered me most was not the loss itself. It was seeing a bot clear a 70% win rate and still fail to prot
The 57.1% Bot Carried the Day, Not the Perfect One
The strongest bot today was not the one with a 100% win rate. BoundSniper closed its single trade cleanly for +10 yen, which is fine, but the real driver was LLMBridgeTrader: 4 wins, 3 losses, +517 yen realized, and a payoff ratio of 2.43. I had to look twice at that combination because 57.1% does not sound dominant until the average win starts doing the work.The full realized result across the fo
A ¥728 Exit Turned the Whole Bot Run Negative
ConclusionThe day ended at -1,180 yen across four MT5 bots, and the uncomfortable part is that the record did not look broken at first glance. There were 9 winning exits and 7 losing exits overall, so the surface was not ugly. But the payoff ratio was only 0.26, and the largest single loss was -728 yen from GateGrid AI. I paused on that number for a moment, because it was bigger than the total gro
71.4% Win Rate Still Lost Money: MT5 LLM Bot Log for June 23, 2026
The total result was positive: +455 yen across 16 closed trades. That sounds clean enough, and honestly, seeing the total stay above zero was a relief. But the win rate is almost the least interesting number today. The whole portfolio went 13W / 3L, yet the total payoff ratio was only 0.54, meaning the average losing trade was still larger than the average winning trade.The main issue was not entr
The Average Loss Beat the Whole Bot Lineup
Today was not a day I want to judge by win count. The four-Bot portfolio closed at -2,457 yen, and the reason was not that every system failed at entries. It was simpler and more uncomfortable: the losing trades were too heavy compared with the winners.The cleanest Bot on the sheet was LLMBridgeTrader, which finished at +353 yen with a payoff ratio of 5.24. That number stopped me for a second, bec
Win Rate Lied This Week: The Rule-Based Bot Survived While the LLM Bots Bled
Win Rate Lied This Week: The Rule-Based Bot Survived While the LLM Bots BledMT5 LLM auto-trading report, June 15–19, 2026.This is Day 5 of the running log. The four-bot portfolio finished the window at -3,490 yen cumulative, even though several days showed decent-looking win rates on the surface.The uncomfortable part is not the loss itself. It is the shape of the loss. GateGrid AI kept showing hi
A 72.2% Win Rate Wasn’t Enough: One Oversized Loss Changed the Whole Day
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
Win Rate Lied Today: 4 MT5 LLM Bots Finished at -464 Yen Despite a 75% Win Rate
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 be
A 33% Win Rate Lost Less Than a 50% Win Rate
ConclusionJune 17 was not a “win rate day.” The four MT5 bots ended at -1,615 yen, and the strange part is that the bot with a 33.3% win rate, LLMBridgeTrader, lost less than GateGrid AI at 50.0%. I had to look twice at that. The answer was not hidden in the entry count. It was in payoff ratio and the size of the worst exits.For this pasted record, I am treating it as Day 1 / cumulative -1,615 yen
Win Rate Lost to the Exit: Four MT5 LLM Bots Closed the Day at -1,445 Yen
June 16, 2026 was not a “bad entries” day as much as an “exit discipline” day. Across the four MT5 bots, the combined realized result was -1,445 yen, even though the total win rate was still 53.3%. That number made me pause a bit, because more trades won than lost, and yet the day still bled out.For this series ledger, I am treating the pasted history as Day 1: cumulative realized P/L is -1,445 ye
The Best Trade Was the One That Got Blocked: Four MT5 LLM Bots on June 15
June 15, 2026Running log: Day 1Cumulative realized P/L: +282 yenEquity impact including open positions: +46 yenThe portfolio finished green, but the most interesting part of the day was not the profit. It was the restraint. Four MT5 bots ended with +282 yen in realized P/L, yet open positions dragged -236 yen, leaving the equity impact at only +46 yen. That number made the day feel thinner than th
A Win Rate of 80% Still Lost Money: Four MT5 Bots Finished the Day at +3 Yen
ConclusionToday’s combined result for the four MT5 auto-trading bots was +3 yen. On the surface, that is almost flat, and I paused for a second because the number looks too small to say much. But the inside of the day was not small at all.GateGrid AI finished at -304 yen. The other three bots absorbed that loss with a combined +307 yen, leaving the portfolio slightly positive. This was not a big w
Turning Red Days into Training Data: The June 11th AI Bot Trade
Turning Red Days into Training Data: The June 11th AI Bot TestIn today’s episode, we break down the June 11th live test of our four MT5 automated trading bots. The portfolio ended the session with a total realized loss of -1,295 JPY, representing a daily return of about -0.75%. But as we discuss in today’s podcast, in the world of machine learning, a losing day isn’t just a failure—it’s highly val
![Diversification Saved the Day: The Power of a Multi-Bot Portfolio [June 10th Trade]](https://substackcdn.com/feed/podcast/8974823/post/201523437/e2aeaf7ab2e9ac399ba2a8161e2b1853.jpg)
Diversification Saved the Day: The Power of a Multi-Bot Portfolio [June 10th Trade]
In today’s episode, we break down the June 10th parallel test of our four MT5 automated trading bots. The total realized profit for the day was a modest +333 JPY, representing a +0.19% return on the portfolio. While it wasn’t a massive windfall, this session perfectly demonstrated a vital concept: the power of diversification.We dive into the performance of each bot to see how portfolio structure
![Live Data Beats Backtests: Measuring Real EV After a Red Day [June 9th ]](https://substackcdn.com/feed/podcast/8974823/post/201378161/e2aeaf7ab2e9ac399ba2a8161e2b1853.jpg)
Live Data Beats Backtests: Measuring Real EV After a Red Day [June 9th ]
In today’s episode, we break down the June 9th parallel test of our four MT5 automated trading bots. The portfolio ended the session with a combined realized loss of -1,432 JPY. At first glance, it looks like a simple losing day, but the detailed results revealed exactly what we need to do next to improve our systems.We dive into the distinct performances of each bot to uncover why live data is fa
![The Day the Gate Worked: Why Doing Nothing is a Winning Strategy [June 8th Trade]](https://substackcdn.com/feed/podcast/8974823/post/201221801/e2aeaf7ab2e9ac399ba2a8161e2b1853.jpg)
The Day the Gate Worked: Why Doing Nothing is a Winning Strategy [June 8th Trade]
In today’s episode, we break down the June 8th parallel test of our four MT5 automated trading bots. The portfolio ended the day with a solid realized profit of +1,189 JPY. But the real success story wasn’t just about the money we made—it was about the money we didn’t lose, thanks to our newly implemented safety layers.We dive into the performance of each bot to see how they executed their distinc
Why AI Trading Bots Need Brakes: The June 1–5 Weekly Review
In today’s episode, we review the weekly performance of our four MT5 automated trading bots from June 1 to June 5. The portfolio ended the week with a combined realized loss of -3,307 JPY. While it wasn’t a profitable week financially, it was arguably our most valuable week for system development.We break down each bot’s behavior to understand why giving AI complete autonomy is a risky game, and w
![Turning Losses Into Training Data: The Evolution of AI Bots [June 5th Trade]](https://substackcdn.com/feed/podcast/8974823/post/200843559/e2aeaf7ab2e9ac399ba2a8161e2b1853.jpg)
Turning Losses Into Training Data: The Evolution of AI Bots [June 5th Trade]
In today’s episode, we break down the June 5th parallel test of our four MT5 automated trading bots. The portfolio finished the session with an overall loss of -1,068 JPY. At first glance, it looks like a tough day. But for an AI-driven project, a red day with a clear diagnosis is far more valuable than a lucky green day.We dive into the distinct behaviors of each system and the major structural u
![Small Wins, Heavy Homework: Why Autonomous AI Needs Brakes [June 4th Trade]](https://substackcdn.com/feed/podcast/8974823/post/200687522/e2aeaf7ab2e9ac399ba2a8161e2b1853.jpg)
Small Wins, Heavy Homework: Why Autonomous AI Needs Brakes [June 4th Trade]
In today’s episode, we break down the June 4th parallel test of our four MT5 automated trading bots. The portfolio ended the session with a total realized loss of -550 JPY, or -916 JPY when factoring in open positions. While the result wasn’t dramatic, the day provided a crystal-clear split between our systems: the strictly filtered bots won, while the autonomous AI bots struggled.We dive into the
![Learning Starts With Losses: Turning a Red Day into Training Data [June 3rd Test]](https://substackcdn.com/feed/podcast/8974823/post/200525536/e2aeaf7ab2e9ac399ba2a8161e2b1853.jpg)
Learning Starts With Losses: Turning a Red Day into Training Data [June 3rd Test]
In today’s episode, we break down the June 3rd parallel test of our four MT5 automated trading bots. The portfolio ended the session with a combined result of -999 JPY. At first glance, it looks like a simple losing day, but for our AI and machine-learning-based systems, these results provide invaluable training material.We dive into the completely different profiles of each bot to see what we lea
![Valuable Losses: What a Red Day Teaches Us About AI Trading [June 2nd Trade]](https://substackcdn.com/feed/podcast/8974823/post/200373056/e2aeaf7ab2e9ac399ba2a8161e2b1853.jpg)
Valuable Losses: What a Red Day Teaches Us About AI Trading [June 2nd Trade]
In today’s episode, we break down the June 2nd parallel test of our four MT5 automated trading bots. It was a tough session across the board, with the total realized loss hitting -1,429 JPY, and the overall equity impact reaching -1,567 JPY when including floating losses. However, from a system-evaluation perspective, it was an incredibly useful day. Today, the main question wasn’t about who won,
![The Power of Diversification: Why You Need Multiple Bots [June 1st Test]](https://substackcdn.com/feed/podcast/8974823/post/200199556/e2aeaf7ab2e9ac399ba2a8161e2b1853.jpg)
The Power of Diversification: Why You Need Multiple Bots [June 1st Test]
In today’s episode, we break down the June 1st parallel test of our MT5 automated trading bots. The portfolio ended the day with a solid realized profit of +739 JPY (or +757 JPY including floating profit), winning an impressive 12 out of 13 closed trades. But the real story isn’t just about an easy winning day—it’s about how portfolio diversification protected our profits.We dive into the performa
The Power of Skipping: Introducing ML_ScoreAnalyst for GBPJPY
In today’s episode, we introduce the newest addition to our automated trading lineup: ML_ScoreAnalyst. Running on a real account, this bot targets the highly volatile GBPJPY 15-minute chart (M15). However, the core focus of this episode isn’t about how often it trades, but rather why it rejects most of the setups it finds.We dive into the architecture of this new “score-based” trading bot and what
Simple Rules Beat Advanced AI: The May 25–29 Weekly Bot Review
Simple Rules Beat Advanced AI: The May 25–29 Weekly Bot ReviewIn today’s episode, we review the weekly performance of our three MT5 auto-trading bots from May 25th to May 29th. The portfolio ended the week in the red at -1,560 JPY, but the contrasting results gave us a fascinating and unexpected insight: sometimes, simple rules completely outperform advanced AI.We break down the distinct behaviors
![A Valuable Small Loss: Damage Control and the Hidden Cost of Holding [May 29th Trade]](https://substackcdn.com/feed/podcast/8974823/post/199820885/e2aeaf7ab2e9ac399ba2a8161e2b1853.jpg)
A Valuable Small Loss: Damage Control and the Hidden Cost of Holding [May 29th Trade]
In today’s episode, we break down the results from the May 29th parallel test of our three MT5 automated trading bots. The portfolio ended the day with a minor deficit of -109 JPY. At first glance, a negative result might seem disappointing, but from a system-development perspective, it was an incredibly useful day.We dive into the distinct behaviors of each bot to uncover why a small, controlled
Stability Over Autonomy: Reviewing the May 26th AI Bot Trade
In today’s episode, we break down the results from our May 26th parallel test of three MT5 automated trading bots. While the combined realized profit and loss was nearly flat at -24 JPY, the underlying details tell a very different story about risk and bot behavior.We dive into the distinct performances of each bot to see why rigid logic beat AI autonomy today:* GateGrid AI (GBPUSD): The standout
A Valuable Small Loss: What Imperfect Days Teach Us About AI Trading
In today’s episode, we dive into the May 25th parallel test results for our three MT5 automated trading bots. The portfolio ended the day slightly in the red, with a total realized loss of -228 JPY, or -272 JPY when factoring in open positions. While it wasn’t a winning day, it was an incredibly useful one.We break down the distinct behaviors each bot exhibited under imperfect market conditions:*
Refining the Exit: Strategic Risk Management for Our AI Trading Bots
In today’s episode, we share our strategic blueprint for this week’s MT5 automated trading sessions. Building on the biggest lesson from last week’s parallel tests—that a bot’s true value lies not in its win rate, but in how effectively it minimizes losses—our core theme for this week is the “radical enhancement of exit rules and risk management”.Here is how we are upgrading each of our three bots
Why High Win Rates Ruin AI Bots: The 5-Day Parallel Test Masterclass
In today’s special episode, we look back at the comprehensive 5-day parallel test of our three distinct MT5 automated trading bots. Despite experiencing days with overall win rates of 68% and 57.1%, the portfolio ultimately ended the week in the red. Why? Because a high win rate can be a dangerous illusion.We break down the performance and unique architecture of each bot to uncover the harsh reali
Winning 57% But Losing Money
In today’s episode, we review the May 22nd parallel test results of our three MT5 automated trading bots. The portfolio ended the day with a total loss of -1,571 JPY. Despite a solid win rate, the results highlighted a harsh reality of system trading: it’s not about how often you win, but how you manage your losses.We dive into the specific behaviors of each bot to understand what went wrong and h
![Small Profit, Big Lessons: The Hidden Risks of Grid Trading [May 21st Test]](https://substackcdn.com/feed/podcast/8974823/post/198774850/e2aeaf7ab2e9ac399ba2a8161e2b1853.jpg)
Small Profit, Big Lessons: The Hidden Risks of Grid Trading [May 21st Test]
In today’s episode, we break down the results from the May 21st parallel test of our three MT5 auto-trading bots. The portfolio ended the day with a microscopic net profit of just +60 JPY. At first glance, it might look like a meaningless day, but underneath the surface, it provided some of the most critical insights we’ve had so far.We take a closer look at how each bot behaved under the hood:* L
Grid Logic Destroys Advanced Trading AI
In today’s episode, we break down the May 20th results of our three MT5 automated trading bots. While the total daily result was a loss of -813 yen, it was far from a total failure. In fact, two out of the three bots ended the day in profit, making this a highly valuable learning experience.We dive into the specific behaviors of each bot to understand what went right and what needs fixing:* BoundS
Selection vs. Control: Analyzing May 19th Results for Three MT5 LLM Trading Bots
In today’s episode, we break down the performance of our three MT5 automated trading bots from the May 19th parallel test. While the total profit was a modest +118 yen, the day provided a masterclass in how different AI architectures handle market volatility.We dive deep into the performance of each bot to see what worked and what didn’t:* LLMBridgeTrader (EURUSD): The standout performer of the da
Why a High Win Rate Is a Trap: Learning from an AI Bot's Defeat
In this episode, we face a harsh reality in algorithmic trading: a high win rate does not guarantee profitability.On May 18th, our portfolio of three distinct bots achieved a solid overall win rate of about 68%, yet the final daily balance ended up negative. How did this happen? While our AI-driven LLMBridgeTrader managed to secure a small profit by keeping its win-loss balance in check, our hybr
Will AI Make Everyone a Winner in Trading? The Reality of Algorithmic Markets
If everyone uses AI to trade, will we all become profitable, or will the market simply stop functioning?. In this episode, we tackle the ultimate question every algorithmic trader faces in the AI era.The short answer is no; a world where everyone wins will never arrive. The market is fundamentally a relative game—for someone to buy at a good price, someone else has to sell. As AI becomes more com
How BotMLScoreAnalyst Scores GBP/JPY Breakouts
In algorithmic trading, the hardest decision isn’t setting the rules—it’s knowing exactly when to stay out of the market. Breakout patterns often look promising on the chart, but relying solely on breaking past highs or lows can easily trap you in fakeouts and emotional trading.To solve this, we are introducing the 4th trading bot to our portfolio: BotML_ScoreAnalyst, specifically designed for th
Which AI Trading Bot Actually Made Money
In this episode, we dive into the ultimate algorithmic trading experiment: pitting three completely different MT5 FX trading bots against each other in the live market. Is a pure rule-based system better? Should we hand over the steering wheel entirely to AI? Or is a hybrid approach the key to surviving market volatility?We review the distinct design philosophies and real-world performance of the
Trading for freedom with local LLMs
【Episode Summary】 In this episode, a system trader in his 40s shares his raw, unfiltered journey of trading his entire life savings for true “freedom” and why he is now dedicated to FX algorithmic trading using Local LLMs.After ending a 10-year marriage, the invisible chain of “marital expenses” weighed heavily on him. To break free, he made the ultimate decision to surrender his stable career as
