What Is Expectancy?
Expectancy (or expected value) measures how much a trading system statistically gains or loses per trade on average. Expressed in R units, the formula is:
Expectancy = (Win Rate × Average Win) − (Loss Rate × Average Loss)
All values are expressed in R (risk units). For example, a system with a 50% Win Rate, an average win of 2R, and an average loss of 1R produces:
Expectancy = (0.50 × 2R) − (0.50 × 1R) = 1R − 0.5R = +0.5R
This means the system earns an average of 0.5R per trade. TraderHub24 derives this figure automatically from your historical trades and keeps it updated in your dashboard at all times.
How to Interpret Expectancy
Negative Expectancy
The system loses money over time. The more trades you take, the more you lose. Immediate and thorough system review is required before continuing to trade.
Near-Zero Expectancy (0 to +0.1R)
Once commissions and slippage are included, this system is likely running at a net loss. Meaningful improvement work is needed before scaling.
+0.2R to +0.5R
A healthy, commercially viable system. Most traders who are consistently profitable over the long term fall within this range. At high trade volume, even +0.2R per trade compounds into significant returns.
+0.5R and Above
A powerful system. Be aware, however, that very high Expectancy values tend to revert toward the mean over larger sample sizes. Continue refining strategy and risk management regardless.
Why Expectancy Matters: The Big Picture
Expectancy is valuable because it collapses Win Rate and R/R ratio into a single actionable number. Consider:
- Win Rate 30%, average win 4R, average loss 1R → Expectancy = (0.30 × 4) − (0.70 × 1) = +0.5R
- Win Rate 70%, average win 1R, average loss 3R → Expectancy = (0.70 × 1) − (0.30 × 3) = −0.2R
The second system feels like it is winning — it closes 7 out of 10 trades in profit — but it is actually losing money. Expectancy cuts through that illusion immediately.
A system with positive Expectancy will be profitable given enough trades, which is why consistency and discipline are the most important drivers of long-term performance.
How to Apply Expectancy to Your Trading Strategy
Here is how to put the Expectancy data on TraderHub24 to practical use:
- Calculate Expectancy by setup type to identify which setups actually produce positive expected value
- Find the market conditions or session times where Expectancy turns negative and consider avoiding them
- Use Expectancy to size positions: allocate more risk to setups with higher Expectancy
- Use Expectancy as a litmus test when evaluating a new strategy — does it genuinely produce edge?
TraderHub24's filtering tools recalculate Expectancy instantly for any combination of instrument, setup type, or time frame you choose.
Expectancy and Position Sizing
Expectancy is not just a performance indicator — it is a position sizing guide. Mathematical frameworks like the Kelly Criterion are built directly on Expectancy values. Use the Expectancy figure in TraderHub24 as your primary reference point when calibrating how much to risk per trade.
Analyze your metrics now: View Your Expectancy Analysis on TraderHub24 →