This is not a programming course. This is a guide to stop being a trader glued to the screen and become an engineer whose system runs on its own — on a server in Europe, around the clock, without emotions.
When people want to automate trading they usually take one of two paths. One takes years. The second takes a few weeks.
We don't teach you to be a programmer. We teach you to be an architect. The difference is the same as between a bricklayer and a designer who says — what we're building, where, and why exactly like this.
On a server in Finland — a regular VPS for €5/month — a bot is running. It scans 133 trading pairs every 2 minutes. Finds an entry point by its own logic. Opens a position. Manages the stop. Closes the trade.
I check the results once a day. Sometimes less. Here are 10 days of live operation — with red days, no cherry-picking:
| Day | Trades | Win Rate | Result |
|---|---|---|---|
| Apr 4 | 1 | 0.0% | −$4.18 |
| Apr 5 | 34 | 44.1% | −$4.32 |
| Apr 6 | 45 | 48.9% | +$8.64 |
| Apr 7 | 44 | 54.5% | +$23.43 |
| Apr 8 | 20 | 55.0% | +$20.73 |
| Apr 9 | 14 | 57.1% | +$6.31 |
| Apr 10 | 14 | 78.6% | +$34.74 |
| Apr 11 | 13 | 61.5% | +$9.59 |
| Apr 12 | 21 | 57.1% | +$13.46 |
| Apr 13 | 16 | 68.8% | +$19.24 |
| Total | 222 | 54.9% | +$127.64 |
:462.
The first two days — red. Then eight days in a row in the green. The system doesn't win every day — it wins statistically. 55% WR over 222 trades means one thing: risk management caps losses, winning streaks offset losing ones. This is math, not luck.
Behind those numbers is a concrete infrastructure. You'll build exactly the same — step by step, module by module.
If you want to understand and build a system yourself — this course is for you.
If you want a ready-made bot, no learning, just results —
that's also possible. We build custom bots.
Details →
Over 3–4 months of development we went through all of this. Not as a horror story — as an honest route map:
This is not the full list. Each of these mistakes cost time, nerves or money. In the course we go through them one by one — and show how to avoid them.
We don't promise guaranteed profit. Trading is working with probabilities. A well-built system improves the odds, but doesn't eliminate risk. Our goal is to give you a tool, not a holy grail.
In 2026 the algo trading course market is flooded with the same thing:
"This will be hard, tedious, we'll read every comma —
but in the end you'll have a system that won't die."
Our buyer is a burned-out techie or trader who has already understood: ready-made bots out of the box only work for the creators of those bots. They're looking for a way to finally take control.
If you're ready to understand — not just launch, but actually get how it works — this course was built exactly for you. The scarcest commodity right now is not a quick result, but a system that holds.
Phantom Paper trades every day on real Binance Futures data. All results are public. Follow and watch in real time.
No. The course is built for people with zero coding background. Claude Code writes all the code for you — you explain what you want in plain language, it implements. Your job is to understand the logic, not Python syntax.
You can run the bot in Paper mode — virtual money, live market, zero risk. For real trading, from $100. A VPS server costs $5-7/month. That's all you need beyond the course.
2-3 hours/day × 2-3 weeks. Each lesson is 20-30 minutes. Go at your own pace — access is permanent. By the end you'll have a live bot running on real markets.
The course builds a bot on Binance Futures. The logic and architecture can be adapted to any exchange with an API — Bybit, OKX, Kraken. The principles are universal.
A live bot trading 24/7 without you. The knowledge to build new strategies. The ability to scale — run multiple bots in parallel. And most importantly: you understand how it works under the hood.
Yes. 3 days after purchase. Read the first lesson — if it's not for you, message us on Telegram and we refund in full, no questions asked. The guarantee ends only when you click "Next lesson" yourself.