Your backtest showed a profit. We'll tell you what it's worth.
Any strategy can be fitted to the past — by accident, without noticing. normaltrading counts how many variants you tried, and puts next to every number the bar that a random search would have cleared with the same amount of trying. Above the bar — a conversation. Below it — coincidence.
No programming · no return promises · a negative answer comes more often than a positive one
It beats buy and hold and survives real costs. But you tested 18 variants — with that much searching the result has to be higher before luck can be ruled out.
Six things you will not find together anywhere else
Each one solves one concrete problem: why a pretty curve on history does not turn into money.
Trial counter
Every run increments the counter automatically, and there is no reset button. Similar variants — a 0.4 % stop and a 0.41 % stop — count as almost one: what matters is not how many times you pressed the button, but how many independent ideas you tested.
A threshold next to every number
0.94 by itself means nothing. “0.94 against a required 1.47” means everything. The bar is computed from your number of attempts, so it is unique to you — and it rises while you keep searching. A metric without a threshold is not shown at all.
Three reports instead of one
Research — is there an effect. A run — does it survive costs. The verdict — is the result distinguishable from luck. Each next report is stricter than the last, and while you freely explore, the counter stays silent.
Experiment graveyard
An open catalog of checks that failed — with a date, a cause of death, and the number that killed them. Nobody publishes negative results, which is why the internet looks like everything works.
Decoding on the spot
Every row has a “?” button: what the metric means, what it is compared with, and when it lies. A toggle in the header expands every explanation at once — a beginner reads the report like a textbook, an experienced user never turns it on.
Without a single line of code
The event, the entry, the stop, the target, and the market-regime filter are set with a mouse and with words. Python and C# are needed nowhere — not for research, not for a run, not for exporting results.
Five steps. The count does not start at the first
The order here is not decoration, it is the mechanism: until the hypothesis is locked, there is nothing to constrain you with, and no reason to.
Look
You describe an event and see what happens after it: the distribution, the difference from an ordinary bar, the confidence interval.
the counter is silentLock it in
You turn the effect into rules: entry, stop, target, position size. The rules are sealed with a hash — you cannot change them after the fact.
the counter is onRun it
The engine counts trades with real commissions and slippage, then breaks the strategy on purpose: costs doubled, entry one bar later.
+1 trialGet a verdict
Eight checks with thresholds computed for your number of attempts. A rejection comes with an explanation of which exact check failed.
the threshold depends on NWait for the forward
The strategy goes forward on data that did not exist at registration. That is the only honest reset button: time.
clears the doubtsNobody publishes negative results. We will
Every completed check goes into an open catalog — no matter how it ended. Every grave has a date, an epitaph with the cause of death, and the number that killed it.
Golden cross
MA 50 × MA 200 · US equities · daily
Died of no effect. The difference from an ordinary day is +0.004 % — the confidence interval covers zero with a wide margin. Plenty of signals, no substance.
Mean reversion
BTC/USDT · 5 minutes · 2019–2026
Died of costs. Before commission +0.031 % per trade, after commission and spread −0.004 %. The effect is real, but it fits entirely inside the cost of getting in and out.
Morning range breakout
ES · 5 minutes · forward is running
Still alive. It did not pass history — 0.94 against a threshold of 1.47 — but the author left it on a blind forward. Twenty months later the fact is tracking close to the expectation.
The cards are layout examples. The real graveyard will fill with the first checks.
What the product does and what it never does
Strict statistics reliably filters out junk. It does not produce profit — and anyone who says otherwise is selling you something else.
What you will get
What there will not be
Send an idea you have long wanted to test
While the product is in development, we run ideas by hand and send back a full report — with every threshold and every explanation. Free, no strings. The only ask in return is to tell us what in the report stayed unclear.
You will describe the idea in the reply email — in words, no formulas.