AI FX Bot Lab: Real Trading Experiments
By Kimi | Japan FX Bot Lab
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Episodes: 60
Description
Can AI really trade forex?
AI FX Bot Lab is a real-time experiment from Japan, where I build and test AI-assisted FX trading bots using MT5, Python, machine learning, and local LLM tools. I share live results, failures, risk lessons, and bot improvements from rule-based, AI-driven, and ML + LLM hybrid systems. Not financial advice.
fxaibotlab.substack.com
fxaibotlab.substack.com
| Episode | Date |
|---|---|
|
Ten Wins Still Ended Negative: Five MT5 Bots Exposed an Exit Problem
|
Aug 05, 2026 |
|
[AI Trading Log] Exits Made the Difference: Five-Bot Portfolio Covers Each Other’s Weaknesses (July 30 to July 31)
|
Aug 01, 2026 |
|
[AI Trading Log] Surviving FOMC and the Trap of High Win Rates:
|
Jul 30, 2026 |
|
The Exit Layer Won: Five MT5 Bots Closed at +¥624
|
Jul 27, 2026 |
|
Winning 57% Wasn’t Enough: GateGrid’s Exit Math Sank the Five-Bot Day
|
Jul 25, 2026 |
|
Stops That Paid: Two AI Bots Banked ¥599 and Carried the Five-Bot Run
|
Jul 24, 2026 |
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Four Wins, Two Losses, Still Down: The Exit Math Beat the Hit Rate
|
Jul 22, 2026 |
|
If You Keep Fixing the Strategy, You May Lose the Ability to Understand It
|
Jul 22, 2026 |
|
It Wasn’t the Entry or the Exit: Why I Moved GateGrid AI From GBPUSD to EURUSD
|
Jul 21, 2026 |
|
The Day Was Lost at the Exit, Not the EntryJuly 17
|
Jul 18, 2026 |
|
The Illusion of Win Rate and the Challenge of the “Exit”
|
Jul 17, 2026 |
|
The Win Was Real, But the Open Loss Stole the Room
|
Jul 15, 2026 |
|
Do Not Trade the Warning
|
Jul 14, 2026 |
|
Weekly Report: The One Loss That Mattered More Than All the Wins
|
Jul 12, 2026 |
|
[AI Trading Log] Why a Win Rate Over 60% Isn’t Enough: The Heavy “Cost of Retreat” Shown in July 9-10 Tests
|
Jul 11, 2026 |
|
Nine Wins Could Not Beat Seven Losses: The Payoff Ratio Dragged the Day Down
|
Jul 08, 2026 |
|
One Win, Ten Losses: The Exit Problem Was No Longer Subtle
|
Jul 07, 2026 |
|
A 93.3% Win Rate Still Wasn’t Enough: The Week Exit Discipline Took Over the Story
|
Jul 05, 2026 |
|
A 65.2% Win Rate Still Lost Money: The Exit Logic Broke First
|
Jul 02, 2026 |
|
One Bad Exit Defined the Day: Four MT5 LLM Bots on July 1
|
Jul 01, 2026 |
|
A 93.3% Win Rate Still Wasn’t Enough
|
Jun 30, 2026 |
|
80% Win Rate Still Lost: Four MT5 LLM Bots on June 29
|
Jun 29, 2026 |
|
A 73.9% Win Rate Still Lost Money: The Week I Stopped Trusting Entries and Started Rebuilding Exits
|
Jun 28, 2026 |
|
The 57.1% Bot Carried the Day, Not the Perfect One
|
Jun 27, 2026 |
|
A ¥728 Exit Turned the Whole Bot Run Negative
|
Jun 25, 2026 |
|
71.4% Win Rate Still Lost Money: MT5 LLM Bot Log for June 23, 2026
|
Jun 23, 2026 |
|
The Average Loss Beat the Whole Bot Lineup
|
Jun 22, 2026 |
|
Win Rate Lied This Week: The Rule-Based Bot Survived While the LLM Bots Bled
|
Jun 21, 2026 |
|
A 72.2% Win Rate Wasn’t Enough: One Oversized Loss Changed the Whole Day
|
Jun 20, 2026 |
|
Win Rate Lied Today: 4 MT5 LLM Bots Finished at -464 Yen Despite a 75% Win Rate
|
Jun 18, 2026 |
|
A 33% Win Rate Lost Less Than a 50% Win Rate
|
Jun 17, 2026 |
|
Win Rate Lost to the Exit: Four MT5 LLM Bots Closed the Day at -1,445 Yen
|
Jun 16, 2026 |
|
The Best Trade Was the One That Got Blocked: Four MT5 LLM Bots on June 15
|
Jun 15, 2026 |
|
A Win Rate of 80% Still Lost Money: Four MT5 Bots Finished the Day at +3 Yen
|
Jun 13, 2026 |
|
Turning Red Days into Training Data: The June 11th AI Bot Trade
|
Jun 11, 2026 |
|
Diversification Saved the Day: The Power of a Multi-Bot Portfolio [June 10th Trade]
|
Jun 10, 2026 |
|
Live Data Beats Backtests: Measuring Real EV After a Red Day [June 9th ]
|
Jun 09, 2026 |
|
The Day the Gate Worked: Why Doing Nothing is a Winning Strategy [June 8th Trade]
|
Jun 08, 2026 |
|
Why AI Trading Bots Need Brakes: The June 1–5 Weekly Review
|
Jun 07, 2026 |
|
Turning Losses Into Training Data: The Evolution of AI Bots [June 5th Trade]
|
Jun 06, 2026 |
|
Small Wins, Heavy Homework: Why Autonomous AI Needs Brakes [June 4th Trade]
|
Jun 04, 2026 |
|
Learning Starts With Losses: Turning a Red Day into Training Data [June 3rd Test]
|
Jun 03, 2026 |
|
Valuable Losses: What a Red Day Teaches Us About AI Trading [June 2nd Trade]
|
Jun 02, 2026 |
|
The Power of Diversification: Why You Need Multiple Bots [June 1st Test]
|
Jun 01, 2026 |
|
The Power of Skipping: Introducing ML_ScoreAnalyst for GBPJPY
|
May 31, 2026 |
|
Simple Rules Beat Advanced AI: The May 25–29 Weekly Bot Review
|
May 31, 2026 |
|
A Valuable Small Loss: Damage Control and the Hidden Cost of Holding [May 29th Trade]
|
May 30, 2026 |
|
Stability Over Autonomy: Reviewing the May 26th AI Bot Trade
|
May 26, 2026 |
|
A Valuable Small Loss: What Imperfect Days Teach Us About AI Trading
|
May 25, 2026 |
|
Refining the Exit: Strategic Risk Management for Our AI Trading Bots
|
May 24, 2026 |
|
Why High Win Rates Ruin AI Bots: The 5-Day Parallel Test Masterclass
|
May 24, 2026 |
|
Winning 57% But Losing Money
|
May 23, 2026 |
|
Small Profit, Big Lessons: The Hidden Risks of Grid Trading [May 21st Test]
|
May 21, 2026 |
|
Grid Logic Destroys Advanced Trading AI
|
May 20, 2026 |
|
Selection vs. Control: Analyzing May 19th Results for Three MT5 LLM Trading Bots
|
May 19, 2026 |
|
Why a High Win Rate Is a Trap: Learning from an AI Bot's Defeat
|
May 18, 2026 |
|
Will AI Make Everyone a Winner in Trading? The Reality of Algorithmic Markets
|
May 17, 2026 |
|
How BotMLScoreAnalyst Scores GBP/JPY Breakouts
|
May 17, 2026 |
|
Which AI Trading Bot Actually Made Money
|
May 17, 2026 |
|
Trading for freedom with local LLMs
|
May 17, 2026 |