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v0mma mentorship / algorithmic futures trading
Most trading strategies are dead before the first live trade, and their owners do not know it yet. This mentorship teaches you how to find ideas, how to test them so the test can say no, and how to read the autopsy when it does.
The method
Every idea goes through the sieve.
Each dot is a trading idea. On its way down it meets the tests a strategy has to pass: costs, random entries, placebo levels, data it has never seen, and the rules of a real account. Most stop at a gate. The mentorship teaches you to build these gates for your own ideas.
01 Why this exists
We kept the bodies.
Courses show you the three strategies that worked. v0mma kept a record of everything that did not, with the data, the costs and the reason. That record is the textbook.
backtests on record, each with its data, its costs and its warning flags.
trading ideas tested and buried, each with a written cause of death.
ways a strategy dies. You will learn to spot each one in your own work.
Counts from the public v0mma record, built 2026-11-02
02 Curriculum
Seven chapters, one craft.
From the first idea to a strategy that is allowed to trade. Every chapter ends with an assignment that a mentor reviews.
What an edge is
Expectancy, R-multiples and costs, and what a backtest can and cannot tell you.
Finding ideas worth testing
Papers, forums, order flow, your own screen time, and how to turn a hunch into a rule a computer can run.
Testing honestly
Declare the test before you run it. Pick on one period, judge on another. Random entries and placebo levels as controls.
Overfitting
Why the best of a hundred variants always looks good, and how to price that in before you believe it.
How strategies die
The eleven causes of death, the symptom of each in your backtest, and the test that exposes it. With real autopsies.
From signal to account
A real signal can still fail an account. Drawdown rules, sizing, speed, and the math of prop-firm evaluations.
Going live
Forward tests, kill switches, record keeping, and how to tell bad luck from a broken strategy.
Grader
Bring your own trades.
Drop a CSV of trades into the grader: every statistic, a Monte Carlo of your own days, and your chance of passing a prop evaluation. Included for students, and the file never leaves your browser.
Who it is for
Two ways in.
One course for both. Every term is explained where it first appears, so nobody is lost, and nothing is left out for the people who already know the basics.
New to algos
Start at chapter 01
You have traded by hand, or not at all, and want to know how strategies are built and checked.
- What an edge is, in plain words and in R
- How to turn an idea into a rule a computer can run
- Your first honest backtest, reviewed by a mentor
Already testing
Jump to 04, 05 and 06
You have backtests that look good and want to know whether they are real, and whether they fit an account.
- Search nulls: your winner against the best of noise
- Placebo levels, random entries, look-ahead and fill checks
- Account simulation: drawdown shape, pass odds, payouts
03 How it works
Read here. Work there.
What you get
- The course on this site. Chapters with simulations you can break yourself, open to students.
- Trade and backtest reviews. Post your work on Discord, a mentor takes it apart.
- Live calls. One chapter a week, questions answered.
- The method, not a black box. You leave able to test any idea on your own.
What you do not get
- No signals. Nobody tells you what to buy or sell.
- No promised results. Most ideas fail, including yours and ours.
- No financial advice. Everything is education. You decide what you trade, and you carry the risk.
- No secret indicator. The edge is in the testing.