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Trading Statistics: Is Your Edge Real?

Expectancy, profit factor, drawdown, losing streaks and how many trades it takes before a result means anything.

Why Statistics Before Strategy

Every trading result is a mix of edge and luck. Over 20 trades, luck dominates. Over 500 trades, edge dominates. A trader who cannot tell the two apart will abandon a good system during a normal losing streak, or double down on a bad one after a lucky month.

This guide gives you the five numbers that describe any strategy, and the one question to ask before believing any of them: how many trades is this based on?

🧒Luck vs Edge in Plain English

Flip a fair coin 10 times: 7 or more heads happens about 17% of the time. That does not make the coin special. A trading record of 10 trades is the same - a 70% win rate over 10 trades tells you almost nothing. Only a large number of trades separates a real edge from a lucky streak.

The Five Numbers

Measure everything in R - multiples of the amount you risked. A trade that risked $100 and made $180 is +1.8R. Working in R makes results comparable across account sizes.

NumberFormulaWhat it tells you
Win ratewins / total tradesHow often you are right - on its own, almost meaningless
Average win / average lossmean R of winners, mean R of losersHow much you make when right versus lose when wrong
Expectancy(win rate x avg win) - (loss rate x avg loss)Average R per trade - the edge itself
Profit factorgross profit / gross lossAbove 1.0 = profitable; 1.3-2.0 is realistic for a robust system
Maximum drawdownlargest fall from a peak to a later lowThe pain you must survive to collect the edge
📊Expectancy
Expectancy (R) = (Win rate x Average win) - (Loss rate x Average loss)
Where:
Win rate / Loss rateshare of winning / losing trades (together 100%)
Average win / Average lossmean result of the winners / losers, in R
Example: 45% winners averaging 1.8R, 55% losers averaging 1.0R = 0.81 - 0.55 = +0.26R per trade. Risking $100 a trade, 100 trades = about +$2,600 before costs.
🎯 Knowledge Check
A strategy wins 45% of trades, average winner 1.8R, average loser 1.0R. What is its profit factor?
A1.47
B1.00
C0.82
D1.80

How Many Trades Before It Means Anything

A win rate measured on a small sample has a wide margin of error. The standard error of a win rate p measured over n trades is sqrt(p x (1 - p) / n). Roughly 95% of the time the true value lies within two standard errors of what you measured.

Measured win rateTrades95% range of the TRUE win rate
55%40about 39% to 71%
55%100about 45% to 65%
55%400about 50% to 60%

After 40 trades, a "55% win rate" cannot be told apart from a coin flip - and even after 100 the range still reaches down to 45%. That is why every serious backtest in this course asks for at least 100 trades as a floor, not as proof, and why a live track record needs months, not weeks. The line to clear is the strategy's own break-even win rate, not 50%: a system whose winners are twice its losers breaks even at 33%, so a 55% measured over 100 trades is already well clear of it.

🎯 Knowledge Check
You measured a 55% win rate over 40 trades. What can you honestly conclude?
AThe true win rate is exactly 55%
BThe strategy has a proven edge
CThe true win rate is somewhere between about 39% and 71% - not enough data yet
DThe strategy is losing

Losing Streaks Are Normal

Even a good system produces long losing streaks. For a win rate p and loss rate q = 1 - p over N trades, the typical longest losing streak is roughly log(N x p) / log(1/q) - and the real one is often longer. Counted exactly:

Win rateTradesTypical longest losing streakLonger than this less than 1 time in 10
50%10068
40%100711
40%5001114

At 1% risk per trade, 11 losses in a row is a drawdown of about 10.5%. If that would make you quit, the problem is your risk per trade, not your strategy.

Equity curveThe same 100 trades in two different orders
0R+10R+20R+30R20406080100TradeOrder A +28ROrder B +28RRunning totalIllustration
  • Order A100 trades40% win rate2.2R avg win1R avg loss+0.28R expectancy+28R total12.6R max drawdown9 losses in a row (max)
  • Order B100 trades40% win rate2.2R avg win1R avg loss+0.28R expectancy+28R total7R max drawdown5 losses in a row (max)
  • Both lists hold exactly the same trades: 40 winners averaging 2.2R, 60 losers of 1R, expectancy +0.28R, +28R at the end.
  • Only the order differs. Order B's worst run is 5 losses and its deepest drawdown 7R. Order A meets 9 losses in a row and a 12.6R drawdown - with the same edge.
  • You do not choose the order. Size your risk so the order A picture is one you can sit through.
🎯
Trading Scenario
Worked example - is this streak a broken system?
Your backtest over 300 trades showed a 40% win rate, average winner 2.2R, average loser 1.0R (expectancy +0.28R). Live, you have just lost 8 trades in a row, and you followed every rule on all 8. At a 40% win rate, 100 trades contain a run of 8 or more losses about half the time (49%), and a run of 11 or more about 1 time in 8. What do you do?
What would you do?
❌Dangerous

Eight losses is inside what the statistics predict for this win rate. Abandoning now reacts to noise and throws away a positive-expectancy system.

🏆Excellent Choice!

The rules were followed and the streak is within the expected range, so this is variance. Keep risk constant and judge the system on a proper sample.

❌Dangerous

Raising risk in a drawdown is how a normal streak becomes an account-ending one.

⚠️Risky Move

A pause is not a disaster, but it is driven by emotion, not evidence - the numbers say nothing is wrong.

Drawdown and Recovery

Losses and gains are not symmetric. A 10% loss needs an 11% gain to recover; 25% needs 33%; 50% needs 100%. Keep risk per trade small enough that the worst expected streak leaves you able to recover.

🎯 Knowledge Check
Your system wins 40% of the time. Over 100 trades, roughly how long a losing streak should you expect at some point?
AAbout 5
BAbout 7 - and 1 time in 10 more than 11
C2-3 losses
DLosing streaks mean the system is broken
📝Demo exercise - your own statistics sheetHands-On
Use a demo account (never real money for this exercise). Trade one setup from Module 1 or 4 of the course, risking the same fixed 1% on every trade, until you have at least 30 closed trades. Record each trade's result in R.
Your Tasks:
1Compute win rate, average win (R), average loss (R), expectancy and profit factor
2Compute your maximum drawdown in R and your longest losing streak
3Compute the 95% range of your true win rate with sqrt(p x (1 - p) / n)
4Write one sentence: what can you honestly conclude after 30 trades, and how many more do you need?
Put one trade per row in a spreadsheet with a column for R. Expectancy = AVERAGE of the R column. Profit factor = SUMIF(R>0) / -SUMIF(R<0).
A good answer reports all five numbers and admits the limit of the sample - for example "55% over 30 trades, 95% range roughly 37%-73%: not yet evidence of an edge; I will continue to 100 trades before changing anything." Changing the strategy after 30 trades is reacting to noise.
📝Key Takeaways
1Measure results in R so they are comparable across account sizes
2Expectancy is the edge; win rate alone tells you almost nothing
3A result over fewer than about 100 trades has a wide margin of error - do not trust it, in your own trading or in anyone's advertising
4Long losing streaks are normal: over 100 trades at a 40% win rate the longest run is typically 7 losses and 1 time in 10 more than 11 - size risk so you survive them
5Losses compound against you: 50% down needs 100% up

This guide is education, not financial advice. Most retail CFD accounts lose money; statistics help you find out honestly whether yours is one of them.