WHAT-IF LAB

See the price of one bad habit.

Every trader asks:
"What if I followed my stop?"
"What if I skipped revenge trades?"
"What if I stopped after two losses?"

EdgeHabit What-If Lab turns those questions into numbers using your own trade history.

Run a what-if test See example

Actual vs What-IfBehavior costRule testingData checksSave & compare

Select Bad Habit

What-If Lab Calculator

Demo Data

Actual Result

₹-18,400

42 Trades logged

What-If Result

₹0

11 trades removed (Revenge Trade)

Bad Habit Cost

₹0

A 30-minute lockout rule would have removed 11 revenge trades after losses.

Actual P&L What-If P&L

Confidence: Medium30-day history

Regret is useless until you measure it.

Without numbers, regret becomes emotion. With numbers, regret becomes a rule.

Setup Drift

"I should not have taken that trade."

regret_1

Stop Ignored

"I should have followed my stop."

regret_2

Loss spiral

"I should have stopped after the second loss."

regret_3

Early Cut Win

"I should have held the winner."

regret_4

Sizing Creep

"I should not have increased size."

regret_5

Test the rule before you trust the rule.

Simulate

Choose trades & What-If scenario

Filter by date range, asset symbol, setup playbook, mistake group, or broker account.

Then define the simulation rule:

Remove revenge trades
Hold winners to playbook targets
Respected written risk levels

Results

Simulate curves & regret

EdgeHabit compares your actual performance curve with the simulated curve. We isolate exactly how much money you would have made if your rules had been strictly followed.

What-If Run StatusCOMPILING

> edgehabit run --data=all

Test Playbook Rules.

Choose any rule below to simulate behavioral metrics in real time.

Trading Rules

Behavior Rules

FIG_RULE_SIMULATION.exeSIMULATION LIVE

✓Fixed stop

Expectancy Impact

₹+21,500

Scenario Question:

"What if every trade used my planned stop?"

Simulation Impact:

Cuts oversize trailing drawdowns

Rule Evaluator Logs

> edgehabit test --rule="fixed stop"

> evaluating playbook history logs... OK

> complete! potential savings of ₹+21,500 detected.

Simulation confidence rating: High Confidence

The result should hurt a little. Not emotionally. Clearly.

₹31,200

"Your late chase trades cost ₹31,200 this month."

That is better than a generic "Be disciplined" lecture. Because now the trader sees the bill.

Honest numbers build trust.

What-If Lab should never pretend.

• High confidence: 72 trades tested.

• Medium confidence: 18 trades tested.

• Low confidence: only 5 trades found.

• Missing candle data for 3 trades.

• This is a simulation, not a guarantee.

You do not need motivation.

You need to see what the mistake costs.

Run a what-if test

FAQ

Your bad habit has a cost.

Find the number. Build the rule. Stop repeating it.

Run What-If Lab Get AI trade audit