Trading Log

My BTC ATM Machine robot pulled in over $20,000 in a single day on demo — after weeks of barely moving and plenty of doubts. Here’s the big day, the real two-month numbers, and the one account detail that changed everything.

My grid EA turned $100k into $130k on demo in five weeks. Then I parsed all 3,456 trades — and the log contradicted what I believed about deep baskets, time-stops, and a change I’d already shipped. Where I was wrong.

I ran seven versions of my own Keltner Channel gold EA side by side for three weeks. Six lost money, one made $199 — and the failures taught me more than the winner. The honest scoreboard.

One of my losing trades lasted two seconds and cost $7.60 — the biggest loss in the account. It wasn’t bad luck; it was a bug in one line of code. Here’s the full autopsy of 407 trades.

A 100% win rate looks like the holy grail — but I ran a replay proving it’s the most dangerous number in trading. Here’s how “never close a loser” manufactures a perfect record that blows real accounts.

Frustrated by indicators that repaint, spam signals, and can’t alert Telegram, I built my own confluence scanner for gold and crypto. An honest early look — including what works, what’s still in testing, and where I think it really belongs.

My new Maverick Scalper EA finished two weeks on demo at +$131 with a 1.76 profit factor. Then I pulled the trades apart and found a single trade carrying the entire profit. Here’s the honest analysis.

My BTC ATM Machine grid EA earns steadily on demo after 3 months of work — and I show the real floating drawdown behind every profit. Honest grid trading.

I ran four real trading disasters back through my rebuilt grid EA. The stress tests capped ~$8,000 of losses to ~$355 — and found three bugs on the way.

This one is different from my usual daily log. Instead of a fresh result, I built TrendLab Fusion v1.1 by going back through 10,328 real closed trades from two of my grid EAs — including the exact ladders that blew an account — to find out precisely what worked, what killed the accounts, and how […]