PitchCentric
AI FX Bot Lab: Real Trading Experiments
Updated 8 days ago · Refreshed hourly
Business

AI FX Bot Lab: Real Trading Experiments

Hosted by Unknown Host · 🇺🇸 US · EN · 13 episodes

Where this show ranks

Audience Score
2
Niche
Episodes
13
Last ep.
8 days ago
Avg length
7m
Booking Probability™
28
Stretch.
Sign in to score against your profile.
Estimated audience
,
Audience size not yet estimated
Listen Score
16
Niche reach.
Virality (30d)
47
Steady cadence.

Pitch Analysis

Sign in to see how your Guest Score compares to this show's Required Pod Score and get a Stretch / Match-fit / Anchor verdict.
Required Pod Score
80/ 100
Premium

Established thought leaders with verified media credentials.

Guest openness
Not signalled recently
Best topics to pitch
BusinessInvestingNews

About this podcast

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

BusinessInvestingNews

About the host

Unknown Host hosts AI FX Bot Lab: Real Trading Experiments, a business show with 13 episodes published.

Recent episodes

Our AI reads these to draft pitches

Turning Losses Into Training Data: The Evolution of AI Bots [June 5th Trade]

Jun 5, 20261m0

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

Show notes

Small Wins, Heavy Homework: Why Autonomous AI Needs Brakes [June 4th Trade]

Jun 4, 20261m0

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. W

Show notes

Learning Starts With Losses: Turning a Red Day into Training Data [June 3rd Test]

Jun 3, 20261m0

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,

Show notes

Valuable Losses: What a Red Day Teaches Us About AI Trading [June 2nd Trade]

Jun 2, 20265m0

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

Show notes

The Power of Diversification: Why You Need Multiple Bots [June 1st Test]

Jun 1, 20264m0

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 imp

Show notes

The Power of Skipping: Introducing ML_ScoreAnalyst for GBPJPY

May 31, 20264m0

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

Show notes

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

May 31, 20264m0

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

Show notes

A Valuable Small Loss: Damage Control and the Hidden Cost of Holding [May 29th Trade]

May 29, 20265m0

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 migh

Show notes

Stability Over Autonomy: Reviewing the May 26th AI Bot Trade

May 26, 20265m0

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 ver

Show notes

A Valuable Small Loss: What Imperfect Days Teach Us About AI Trading

May 25, 20265m0

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 fact

Show notes

Refining the Exit: Strategic Risk Management for Our AI Trading Bots

May 24, 20265m0

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

Show notes

Why High Win Rates Ruin AI Bots: The 5-Day Parallel Test Masterclass

May 23, 202612m0

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 ultimat

Show notes

Winning 57% But Losing Money

May 23, 20265m0

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 h

Show notes

Small Profit, Big Lessons: The Hidden Risks of Grid Trading [May 21st Test]

May 21, 20265m0

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

Show notes

Grid Logic Destroys Advanced Trading AI

May 20, 20265m0

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 end

Show notes

Selection vs. Control: Analyzing May 19th Results for Three MT5 LLM Trading Bots

May 19, 202619m0

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

Show notes

Why a High Win Rate Is a Trap: Learning from an AI Bot's Defeat

May 18, 20265m0

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

Show notes

Will AI Make Everyone a Winner in Trading? The Reality of Algorithmic Markets

May 17, 202616m0

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

Show notes

How BotMLScoreAnalyst Scores GBP/JPY Breakouts

May 17, 20265m0

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

Show notes

Which AI Trading Bot Actually Made Money

May 17, 202621m0

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

Show notes

Sponsors and advertisers

Sponsor detection runs nightly. Check back soon.

Audience demographics

Age
25-54
Consumer type
Professionals & Founders

Topics covered

BusinessInvestingNews

Successful pitch examples

No public pitch examples yet for this show.

Generate your own personalised pitch

Best industries to pitch AI FX Bot Lab: Real Trading Experiments for

Based on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:

Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.

Similar podcasts to AI FX Bot Lab: Real Trading Experiments

Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.

Frequently asked questions

How do I pitch AI FX Bot Lab: Real Trading Experiments as a podcast guest?

To pitch AI FX Bot Lab: Real Trading Experiments, visit https://fxaibotlab.substack.com/podcast for contact information, then craft a tight one-paragraph hook that ties your expertise to a gap in their recent business coverage.

Who is the host of AI FX Bot Lab: Real Trading Experiments?

AI FX Bot Lab: Real Trading Experiments is hosted by Unknown Host. The show is categorised under Business and has published 13 episodes.

How many episodes does AI FX Bot Lab: Real Trading Experiments have?

AI FX Bot Lab: Real Trading Experiments has published 13 episodes.

What topics does AI FX Bot Lab: Real Trading Experiments cover?

AI FX Bot Lab: Real Trading Experiments regularly covers Business, Investing, News. It sits in the Business category.

Is it hard to get booked on AI FX Bot Lab: Real Trading Experiments?

AI FX Bot Lab: Real Trading Experiments is accessible for guests with genuine business expertise. A personalised, episode-aware pitch will still outperform a generic one every time.

Is AI FX Bot Lab: Real Trading Experiments currently accepting guest pitches?

AI FX Bot Lab: Real Trading Experiments hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.

How long are AI FX Bot Lab: Real Trading Experiments episodes?

Episodes of AI FX Bot Lab: Real Trading Experiments average 7 minutes. a focused format where a clear narrative arc and tight preparation matter most.

What guest credentials does AI FX Bot Lab: Real Trading Experiments typically look for?

Our data rates AI FX Bot Lab: Real Trading Experiments's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.

Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 8 days ago.

Is this podcast yours and you'd like to remove or correct details? Request removal or email privacy@pitchcentric.com.