Position Sizing & Portfolio Context
Learning Objectives
Determine appropriate position size based on thesis conviction and risk tolerance
Apply position sizing frameworks to XRP allocation
Integrate XRP position within broader portfolio context
Manage position size over time as thesis evolves
Avoid common position sizing errors
Size reflects conviction: Higher conviction = larger position allowed
Size reflects risk capacity: Position should survive worst-case
Size reflects edge: No edge = index weight at most
Size reflects asymmetry: Higher upside/downside = can size larger
Kelly Criterion (Modified): Mathematical optimal sizing based on probability and payoff
Worst-Case Sizing: Size based on maximum acceptable loss
Conviction-Based Tiers: Pre-defined sizes for conviction levels
Hybrid Approach: Combine multiple frameworks
High volatility → smaller position for same risk
Correlation with crypto market → adds correlated risk
Liquidity → enables larger position than illiquid assets
Binary risks → argue for smaller sizing
Financial (total portfolio, max acceptable loss), temporal (time horizon), emotional (volatility tolerance), circumstantial (income stability)
Very High (8-10): 15-25% position
High (6-8): 8-15%
Medium (4-6): 3-8%
Low (2-4): 1-3%
Tracking (<2): <1%
$100K portfolio, 5% max loss acceptable, 80% worst-case decline, medium conviction.
Worst-case max: $5,000 / 0.80 = $6,250 (6.25%)
Conviction target: 5%
Use smaller: 5% = $5,000 position
Consider XRP as part of total asset allocation. Where does crypto fit in your equity/bond/alternatives split?
XRP-BTC correlation ~0.7. Adding XRP to existing BTC concentrates crypto exposure. Portfolio may have more crypto risk than it appears.
Every dollar in XRP is not in alternatives. Is XRP the best use of next marginal dollar?
Lump Sum: Invest full position immediately
DCA: Equal amounts over time
Scale-In: Start smaller, add on declines
Increase if: Thesis strengthens, price declines without thesis change, conviction increases
Decrease if: Thesis weakens, invalidation triggers approach, better opportunities emerge
Profits: Trim at targets, scale out, leave core for upside
Losses: Pre-commit to invalidation, execute when triggered, accept being wrong
Sizing based on hopes not analysis
Ignoring correlation
Sizing beyond risk capacity
No pre-commitment
Position drift
Greed: Increasing position as price rises
Fear: Selling as price drops
Recency: Sizing based on recent performance
Loss Aversion: Refusing to sell losers
Template includes: Target size, current size, average cost, sizing rationale, change triggers, transaction history, review schedule.
Position sizing is where thesis meets reality. Even the best thesis can produce poor outcomes with improper sizing. Use frameworks, pre-commit to changes, document decisions, and maintain discipline.
Develop complete position sizing plan including risk assessment, conviction calibration, calculation, management rules, and documentation.
Time investment: 4-6 hours
1. Worst-case suggests 8%, conviction tier says 5%. Use:
Answer: B - 5% (smaller of two)
2. $10K BTC + $5K XRP. XRP-BTC correlation ~0.7. Consider:
Answer: B - Adds concentrated crypto exposure
3. XRP rises 100%, now 10% vs. 5% target. Thesis unchanged. Do:
Answer: D - Either trim or let run depending on pre-committed rules
4. $50K to invest, might need $20K in 6 months. Investable for XRP:
Answer: C - Less than $30K; XRP too volatile for money you might need
5. XRP drops 30%, thesis unchanged, feel urge to sell. Do:
Answer: C - Check invalidation criteria; if not triggered, follow pre-committed plan
End of Lesson 17
Total words: ~5,200
Key Takeaways
Size reflects conviction and capacity
- Match position to actual beliefs
Multiple frameworks provide perspectives
- Use conservative approach
Portfolio context matters
- Correlations, opportunity cost
Manage over time
- Rules for increases, decreases, profit-taking, loss-cutting
Document and review
- Accountability improves decisions ---