Taking applications from established companies

Your Company Data Might Be Worth $2M

AI developers license the ordinary records that businesses pile up over the years: support tickets, sales notes, how-to guides, project files and old email threads. You license a copy and keep using everything as before, so it is fresh income from an asset you already own. Three quick questions show whether your company can apply.

  • Any industry
  • US companies first
  • UK, Canada, EU and Australia considered

Can your company apply?

How many people work there?
How long has it been trading?
Are most of your records in English?

Trade expectancy calculator

Expectancy is the single number that tells you whether your trading makes money over time: the average result of one trade after wins, losses and fees. Enter your win rate, average win, average loss, fees and how often you trade, and this calculator gives your expectancy in dollars and in R, your profit factor and your expected monthly result. It then tests small changes to each input, so you can see which improvement is worth the most.

Start from
From your trade log
Activity

A month of trading, before and after fees

Expected gross wins, gross losses and fees over a month at your pace.

Which improvement is worth most

Expectancy after one realistic change at a time. Compare the extra profit per month to decide where to focus.

ChangeExpectancy per tradePer monthExtra per month

How expectancy is worked out

Expectancy weighs each outcome by how often it happens. Fees are charged on every trade, win or lose.

  1. Expectancy

    Average win times win rate, minus average loss times loss rate, minus fees.

    E = win rate × avg win − (1 − win rate) × avg loss − fees

  2. In R

    Expectancy divided by your usual risk per trade.

    E in R = E ÷ 1R

  3. Profit factor

    Gross profit divided by gross loss, both after fees.

    PF = (win rate × (avg win − fees)) ÷ ((1 − win rate) × (avg loss + fees))

  4. Monthly result

    Expectancy times trades per month.

    monthly = E × trades

  5. Break-even win rate

    The win rate at which expectancy is zero, fees included.

    break-even = (avg loss + fees) ÷ (avg win + avg loss)

Expectancy questions

What is trade expectancy?

Expectancy is the average amount you make or lose per trade over many trades. It combines how often you win with how much you win and lose. A positive expectancy means your method makes money over time; a negative one means it loses, however good individual trades feel.

How do you calculate expectancy?

Multiply your win rate by your average win, subtract your loss rate times your average loss, then subtract fees per trade. With a 40 percent win rate, a $500 average win, a $250 average loss and $5 in fees, expectancy is 0.4 times 500, minus 0.6 times 250, minus 5, which is $45 per trade.

What is profit factor?

Profit factor is gross profit divided by gross loss. Above 1 means you make more than you lose. Many traders consider 1.5 or higher solid and above 2 very strong, though very high figures from a small number of trades are often luck.

Why measure expectancy in R?

R is the amount you normally risk on a trade. Measuring expectancy in R lets you compare periods when you traded different sizes, and turn the result into a return on the account by multiplying by your risk per trade.

How many trades do I need to trust my expectancy?

At least 30, and preferably 100 or more of the same setup. A handful of big winners can make a small sample look much better than the method really is. Keep logging and recalculate every month.

How do fees affect expectancy?

Directly. Every dollar of commission, spread and slippage comes off every trade. For active traders with small average wins, fees can be the difference between a winning and losing method, which is why they are entered separately here.