TOOLS / THE NUMBERS BEHIND THE DECISION

Make the
assumptions visible.

A trade idea is only part of the picture. Put the exposure, the costs and the arithmetic beside it.

No account. No upload. Calculations stay in this page.

01 / CHECK THE ARITHMETIC

Simple inputs.
Clear consequences.

Use one currency throughout. The prefilled figures are illustrative examples, not suggested trading limits. These tools explain arithmetic; they do not provide financial advice.

01EXPOSURE

What fits the plan?

Calculate the whole contracts that fit an already chosen cash risk budget, with costs included.

Cash amount in your chosen currency
Ticks, greater than zero
Per contract, greater than zero
Cash per contract, entry + exit

Check the contract’s tick value. Include commissions, fees and your assumed total entry/exit slippage in costs. The stop distance is measured in ticks, not price points.

CALCULATION—

Use the illustrative figures or enter your own assumptions.

The formula & its limits

Per-contract planned exposure = stop distance × tick value + round-trip costs. Contract count = cash budget ÷ per-contract exposure, rounded down to whole contracts.

This assumes a fill at the entered stop plus the entered costs. Gaps, liquidity and execution can produce a greater loss. It does not calculate margin or tell you how much to risk.

02EXPECTANCY

What does the average say?

Connect win rate with the size of wins, losses and costs in a historical sample.

Percent of the sample, 0–100
Cash per winning trade
Enter the loss as a positive amount
Cash per trade, entry + exit

Use one consistent sample and cash amounts. If the win/loss figures already include all costs, enter zero for costs to avoid counting them twice. This two-outcome model excludes flat trades.

CALCULATION—

Use the illustrative figures or enter your own assumptions.

The formula & its limits

Net expectancy = (win rate ÷ 100 × average win) − ((1 − win rate ÷ 100) × average loss) − average costs. Break-even win rate = (average loss + costs) ÷ (average win + average loss).

Use a win rate from the same winning/losing-trade sample as the averages. A positive historical mean is not evidence of future returns. This does not measure uncertainty, drawdowns, sample reliability or changing market conditions.

MOUSE CONTROL / DELIBERATE PRACTICE

Mouse Speed &
Precision Trainer

Train reaction speed, mouse precision and selective attention with measurable browser-based drills.

Two training modes · 60-second benchmark · Local history · No login
Start Training

DECISION LAB / MARKET REPLAY

Trading Simulator

Read a synthetic futures auction, place market and limit orders, manage protective brackets and review the cost of execution.

Candles and order flow · Working DOM · Local session review
Open Decision Lab

02 / TURN A NUMBER INTO A BETTER QUESTION

Keep the reasoning
beside the result.

Write down what you assumed, where the figures came from and what would make them unreliable. Then choose one part of your process to examine.

Find a practice focus

Keep learning

A BETTER QUESTION.
IN YOUR INBOX.

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