🎯 Goal
Turn multiple “good strategies” into:
a stable, diversified system that survives bad conditions
Because:
good strategies can still blow up if combined poorly
⚠️ THE BIG TRAP
Most people:
- find 2–3 good strategies
- allocate evenly
- assume diversification
Reality:
strategies often fail at the same time
🧱 1. THE “STRATEGIES ARE ASSETS” MINDSET
You are no longer thinking:
“Which strategy is best?”
You are thinking:
“How do these behave together?”
Each strategy has:
- return profile
- drawdown behavior
- regime sensitivity
- correlation with others
🧱 2. THE “CORRELATION IS RISK” RULE
Two strategies that:
- both perform well
- both score high
…can still be dangerous if they:
lose money at the same time
✔ What you want:
- strategies that fail differently
- strategies that succeed in different regimes
🧱 3. THE “REGIME DIVERSIFICATION” PRINCIPLE
Build a portfolio that covers:
- trend environments
- sideways markets
- high volatility
- low volatility
Example structure:
- momentum (trend)
- mean reversion (range)
- breakout (volatility expansion)
🧱 4. THE “MAX DRAWDOWN STACKING” WARNING
If each strategy has:
- 20% drawdown
Combined poorly:
you can still hit 30–40%+ drawdown
✔ Solution:
- stagger exposure
- reduce size on correlated strategies
- diversify failure modes
🧱 5. POSITION SIZING FRAMEWORK (SIMPLE & ROBUST)
Start with this baseline:
🟢 Step 1 — Equal Risk, Not Equal Capital
Do NOT allocate:
33% / 33% / 33%
Instead allocate based on:
expected volatility and drawdown
🟡 Step 2 — Scale by Stability
Example:
| Strategy | Score | Allocation |
|---|---|---|
| A | 8.5 | 40% |
| B | 7.8 | 35% |
| C | 7.2 | 25% |
🔵 Step 3 — Cap Risk Per Strategy
Never allow:
one strategy to dominate total risk
🧱 6. THE “FAILURE OFFSET” DESIGN
You want:
- Strategy A fails → Strategy B holds or performs
- Strategy B fails → Strategy C offsets
✔ Ideal:
Losses are:
- staggered
- not simultaneous
- not compounding
🧱 7. THE “PORTFOLIO STRESS TEST”
Use your system:
Ask:
“What happens if all strategies hit their worst regime at once?”
If result:
- unacceptable drawdown → reduce exposure
- survivable → acceptable
🧱 8. THE “CAPITAL PROGRESSION RULE”
You do NOT go all-in immediately.
Instead:
- Start small
- Observe behavior
- Increase gradually
- confirm expectations
🧱 9. THE “EXPECTED PORTFOLIO BEHAVIOR”
Before deploying, define:
✍️ Example:
Portfolio should:
- perform steadily in trending markets
- remain stable in sideways markets
- experience drawdowns during high volatility spikes
- recover within X timeframe
This is critical:
You are defining what “normal” looks like
🧱 10. THE “DON’T OVER-DIVERSIFY” RULE
More strategies ≠ better
🚩 Problem:
- too many strategies
- overlapping logic
- diluted edge
✔ Better:
- 3–5 strong, distinct strategies
- clear behavioral differences
🧠 PRACTICAL PORTFOLIO EXAMPLE
Your system selects:
- Momentum → strong in trends
- Mean Reversion → strong in ranges
- Breakout → strong in volatility expansion
Allocation:
- Momentum: 35%
- Mean Reversion: 35%
- Breakout: 30%
Result:
- different strengths
- different failure modes
- smoother combined behavior
⚖️ FINAL DECISION FRAMEWORK
Before deploying portfolio:
✔ CHECKLIST
- strategies behave differently
- not highly correlated
- no shared failure mode
- drawdowns are acceptable combined
- position sizes are controlled
- expectations are defined
If YES → proceed cautiously
💡 FINAL ONE-LINE TRUTH
You don’t build a great portfolio by picking the best strategies — you build it by combining strategies that fail differently.
🏁 FINAL STATE (YOU’VE REACHED IT)
You now have:
✔ system architecture
✔ research workflow
✔ validation discipline
✔ strategy design framework
✔ readiness evaluation
✔ portfolio construction logic
You are no longer:
building a system
You are:
running a structured trading research operation