AI FX Bot Lab: Real Trading Experiments

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...

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 th...

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 le...

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,...

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 perform...

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 wh...

Simple Rules Beat Advanced AI: The May 25–29 Weekly Bot Review In 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 behavio...

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...

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 standou...

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:...

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 bo...

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 real...

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...

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: *...

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: * Boun...

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...

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...

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...

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 t...

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...

【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...