Self-taught Python developers — go from "I read about trading bots" to "my bot just made its first paper trade" in 5 days. No $5,000 course. No copy-pasted strategy.py from GitHub that breaks at first market shift. No 47 contradictory YouTube tutorials.
Not "10× a month". Not "secret signals". Your own bot on a paper-trading account, in code you actually understand, that you control.
Python environment, Binance Testnet API key, an honest read on why 90% of self-taught algo traders quit broke.
Four public archetypes (trend / mean-reversion / momentum / pairs). Match one to your capital and time profile.
Entry, exit, risk, stop rules — on paper, before code. If you can't say it in one sentence, your bot doesn't work.
A working bot in 4 hours on Testnet. You don't write code by hand — you learn to brief AI on what to build. That's the 2026 skill.
Win rate, RR, max drawdown, walk-forward. One backtest is not proof. One bot is not finish line. The discipline of small changes.
| ✓ Working bot on Binance Testnet by Day 5 | ✗ Course pitch every day |
| ✓ 5 video lessons (~30 min each) | ✗ "Subscribe to our signal channel" |
| ✓ Daily homework with peer review | ✗ Hidden costs / "premium tier" |
| ✓ Telegram support across all 5 days | ✗ Pre-built strategy.py we hand you |
| ✓ Honest metrics, walk-forward on Day 5 | ✗ "10× in 30 days" promises |
| ✓ Teaches you to build, not delivers our code | ✗ Faceless AI-voice scammy content |
All 5 videos are recorded. Day 1 is open right now — see how much content is waiting. Access to remaining days arrives by email at 09:00 UTC each morning after launch.
Stanislav, electronics engineer by training, the last two years running a live algorithmic bot on Binance Testnet/Live. Phantom Paper Live Dashboard — open stats: $351 PnL / 57% Win Rate / 384 trades. Everything in this challenge is the methodology of that journey, with no strategy parameters disclosed.
On a paper-trading account — yes. On real money — no, and it shouldn't be. Real-money deployment requires 50+ out-of-sample trades for validation. That's covered in the full course, not the challenge.
No. The challenge is built on simple rules (e.g. moving-average crossover). ML and LLMs are layers you add after a baseline works.
Videos remain accessible after launch. Catch up at your pace. Just close all homeworks before the challenge ends to keep your peer-review partner.
On Day 5 I'll mention the full course with a 30% discount only for those who completed all homework. That's the only sales mention. Day 1–4 — zero pitches.
It's value-first acquisition. If you finish and don't buy the course — you still walk away with your own bot and the skill to think about algo trading. Fair deal.
No. Never. The challenge teaches methodology — how YOU build YOUR bot. Specific parameters (EMA periods, RSI thresholds, RR multipliers) are our production asset, not a product. We teach thinking, not handing over finished code.