Sharpe Ratio & Sortino Ratio
Trading Intelligence
9 min read
sharpeRatio
Compare risk-adjusted returns across strategies using the two most important performance ratios in quantitative finance.
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9 min read
Compare risk-adjusted returns across strategies using the two most important performance ratios in quantitative finance.
Markets change. Strategies weaken. But abandoning your edge too early can be just as dangerous as holding it too long. Here's how to think like a probabilistic strategist.
Most traders operate in extremes:
But trading isn’t binary. It’s probabilistic.
Bayesian thinking gives you a framework to update your belief in a system over time — without emotional overreaction.
With it, you can:
Bayesian logic is based on this principle:
“Start with a belief. As new evidence arrives, update that belief accordingly.”
In trading, this means:
You don’t jump ship after 5 losses — and you don’t scale recklessly after 3 wins.
You adjust with probability, not emotion.
| Situation | Non-Bayesian Reaction | Bayesian Response |
|---|---|---|
| 5-trade losing streak | "System’s broken, quit." | "This is within expected variance. Reassess at 30–50 trades." |
| Sudden 4R winner | "Edge is insane, scale up fast!" | "Good outlier. Let’s see how it affects long-term EV." |
| Market volatility drops | "This strategy sucks now." | "System may underperform in this regime. Monitor and adapt slowly." |
| New filter seems great | "Add it now!" | "Test it separately over a sample. Compare Bayesian posterior EV." |
“My strategy has an EV of +0.5R based on 100 trades.”
Last 30 trades show +0.1R, with higher drawdown and slippage.
“My current estimated EV may be dropping. I’ll reduce size by 30% and continue gathering data before changing rules.”
It’s not about guessing the future. It’s about adjusting probability models with each trade.
From your backtest or first 100 trades:
Win rate
EV
Variance
Max drawdown
Treat this as your “prior belief”
Compare to your prior:
“Are we still inside the confidence interval?” “Is this likely noise — or something has changed?”
Never test ideas live without journaling their results independently.
Create a 0–100 confidence score for your strategy:
| Criteria | Points |
|---|---|
| EV positive over last 50 trades | +20 |
| Win rate within historical range | +20 |
| Drawdown within expected bounds | +20 |
| Aligned with current market regime | +20 |
| Executed with discipline | +20 |
| Deviating from strategy | –15 |
| New risk factors emerging | –15 |
Update weekly.
A drop from 90 → 70 is normal variance A drop from 90 → 40? Time to pause, investigate, or adapt
Trading is not about finding a system that never fails. It’s about continually adapting your trust in your system — based on data.
Bayesian thinking protects you from:
Start with structure. Collect evidence. Update your belief. Grow steadily — without overreacting.
Next up: ** Module 3: Advanced Statistical Thinking in Performance Tracking**