Grader
Drop a file of trades and get every number that matters, a Monte Carlo of your own trading days, and your chance of passing a prop evaluation. Your file stays in your browser. Nothing is uploaded.
Trade file
A CSV export from your platform or journal: one row per trade, with a profit column and, if you have it, a date column. Comma, semicolon or tab separated.
The score counts checks passed. It grades what is in the file. It cannot see what is not: how many variants were tried before this one, whether costs are included, or whether the backtest behind the trades reads the future.
Every number
* Expectancy in R uses your average loss as 1 R, because the file has no stop distance.
Equity curve
Monte Carlo
The same trading days in a different order. Your real history is one line out of all the ones that could have happened.
Would it pass an evaluation?
Enter the rules of the account. The file's dollar amounts are used as they are, times the size factor.
Not modelled: consistency rules, minimum trading days, and open-trade swings inside a trade (the file only has closed results, so an intraday trailing drawdown is understated).
When it makes money
Builder
Say the strategy. Get the code.
Describe a rule in a sentence. The builder writes it out as an exact rule, lists what your sentence left open, and returns code you can run in your own platform.
The builder does not run a backtest: v0mma is not allowed to publish market data. Run the code on your own data, export the trades, and drop the file above.