How This Trading Strategy Simulator Works
This simulator models the mathematical relationship between three core variables of any trading strategy: win rate (what percentage of your trades close profitably), risk per trade (what percentage of your account you stake on each trade), and reward:risk ratio (how many times your risk you make on winning trades). It applies these across a simulated sequence of trades using compounding — each trade's result is calculated as a percentage of the current balance, not the starting balance.
The results are entirely fictional, randomly generated illustrations. They demonstrate how these mathematical relationships behave in theory — not what would happen in real trading. Real markets involve slippage, emotional decisions, execution errors, changing conditions, and many other factors that no simulator can replicate. Use this tool to understand the underlying maths, not to predict real outcomes.
Understanding Mathematical Expectancy
Mathematical expectancy is the average amount you expect to make or lose per trade, expressed as a percentage of your risk. The formula is:
Expectancy = (Win Rate × Avg Win%) − (Loss Rate × Avg Loss%)
Example: 55% win rate, 2R → (0.55 × 2%) − (0.45 × 1%) = +0.65% per trade
A positive expectancy means your strategy is mathematically profitable over a large sample of trades. Negative expectancy means it will lose money in the long run — regardless of how good any individual trade looks. The simulator displays this automatically when you adjust the inputs.
The Minimum Win Rate You Need
The minimum win rate required to break even is determined entirely by your reward:risk ratio: Min Win Rate = 1 ÷ (1 + R). At 2R, you need to win 33% of trades. At 1.5R, 40%. At 3R, only 25%. This means a trader with a 35% win rate can still be profitable — if they consistently take trades with a 3:1 or better reward:risk ratio. Most losing traders have the maths backwards: they win frequently but their winners are smaller than their losers.
Realistic Trading Benchmarks
10–30%
Professional traders
annual return
5–15%
Experienced traders
annual return
40–60%
Realistic win rate
most strategies
1–2%
Recommended
max risk per trade
2:1+
Minimum
reward:risk ratio
General industry benchmarks for discretionary traders. Individual results vary significantly. Past performance — simulated or real — does not indicate future results.
How Compounding Affects Trading Returns
Compounding means each trade's result is calculated as a percentage of your current balance — not the original starting amount. This creates a compounding effect in both directions. Early losses reduce the base that future trades calculate from (a form of protection on the downside). Early wins increase the base so subsequent winning trades generate more in absolute terms. Over a large sequence of trades, the difference between compounding and flat-stake trading becomes dramatic. Use the four market simulation modes to see how clustered wins (bull), clustered losses (bear), alternating results (linear), and pure randomness affect the trajectory differently — even with identical win rates and R ratios.
⚠️ Important disclaimer: All results produced by this simulator are entirely fictional and randomly generated. They are illustrative examples only and do not represent real trading performance, real market conditions, or predictions of future results. This tool is designed for educational purposes to demonstrate mathematical concepts — it is not financial advice, investment guidance, or a guarantee of any trading outcome. Never risk money you cannot afford to lose. Past simulated results have no bearing on future real-world performance.
Common Questions About Trading Strategy & Win Rate
What win rate do I need to be profitable in crypto trading?
It depends on your reward:risk ratio. At 2R, you need to win at least 34% of trades to break even. At 1.5R, 40%. At 3R, only 25%. The formula is: Min Win Rate = 1 ÷ (1 + R). Most professional traders operate with a 40–60% win rate combined with a 2:1 to 3:1 R:R ratio, giving them a consistent mathematical edge. Use the
position size calculator to ensure your risk per trade is defined before every entry.
What is trading expectancy and how do you calculate it?
Trading expectancy is the average expected return per trade as a percentage of your risk. Formula: Expectancy = (Win Rate × Avg Win%) − (Loss Rate × Avg Loss%). At 50% win rate and 2R: (0.50 × 2%) − (0.50 × 1%) = +0.5% per trade. Positive expectancy means the strategy is mathematically profitable over a large sample. This simulator calculates and displays your expectancy automatically — and warns you if it is negative.
Are the simulator results real or accurate?
No. All results are entirely fictional, randomly generated illustrations. They show how the mathematical relationships between win rate, risk, and R:R behave in theory across a simulated sequence. They do not represent real trading performance, real market conditions, or predictions of any kind. Real trading involves slippage, emotional decisions, changing market conditions, execution errors, and many other factors no simulator can model. This tool is for educational understanding only — not financial advice.
How does compounding work in trading?
Compounding means each trade's profit or loss is calculated as a percentage of your current balance — not the original starting amount. After a winning trade, your balance grows and the next winning trade generates more in absolute terms. After a losing trade, your balance shrinks and the next losing trade costs less in absolute terms. This creates asymmetric acceleration: consistent winners compound upwards significantly faster than a flat-stake approach, but a sequence of early losses in a bear market can seriously delay recovery.
What is a realistic return for a crypto trader?
Professional traders typically target 10–30% annual return. Experienced traders achieve 5–15% annually. Beginners often break even or take small losses while developing their process. Returns significantly above these levels are possible in crypto during strong bull markets but are not reliably sustainable long-term. A consistent 15–20% annual return compounded over many years is exceptional by any standard — and far preferable to chasing high returns with excessive risk that leads to account blowup.
How much should I risk per trade in crypto?
Most professional discretionary traders risk 0.5%–2% of their account per trade. At 1% risk, 100 consecutive losing trades would be required to wipe your account — giving you ample runway to learn and adapt. Risking more than 2% per trade significantly increases the probability of a drawdown large enough to affect your decision-making and trading psychology. Use the
position size calculator to calculate the exact trade size that corresponds to your chosen risk percentage.