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Guide to Building a Barbell Strategy Position Allocation System

#barbell_strategy #position_allocation #investment_strategy #deterministic_investment #high_odds_investment #risk_management #10_40_50_rule
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December 30, 2025

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Guide to Building a Barbell Strategy Position Allocation System

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Guide to Building a Barbell Strategy Position Allocation System

Based on your shared investment evolution journey, the following systematically explains how to build an effective barbell strategy between “deterministic investments” and “high-odds investments”.

I. Core Principles of the Barbell Strategy
1. Strategy Essence

The barbell strategy is an

extreme yet balanced
portfolio construction method, holding two distinct types of assets simultaneously:

  • One end: Deterministic assets
    (high win rate, medium-low returns)
  • The other end: High-odds assets
    (low win rate, high returns)
  • Middle: Abandon mediocre assets
2. Mathematical Logic
Expected return = Win rate × Return magnitude - (1-Win rate) × Loss magnitude

Deterministic investments
: Win rate >70%, single return 10-30%
High-odds investments
: Win rate <40%, single return >100%

II. Deterministic Investment Position Allocation (40-50%)
1. Target Characteristics
  • Strong cash flow and moat
  • Stable industry position (leader/oligopoly)
  • Reasonable or undervalued valuation
  • Dividend yield >3%
2. Position Management
Allocation Principle Specific Requirements
Single stock upper limit 8-12%
Number of positions 8-15
Industry concentration Single industry <40%
Turnover rate <50% per year
3. Buying Criteria (Deterministic End of the 10/40/50 Rule)
  • Cognitive depth
    : >90 points (fully understand the business model)
  • Margin of safety
    : >20% discount to intrinsic value
  • Downside risk
    : <15%
III. High-Odds Investment Position Allocation (20-30%)
1. Target Characteristics
  • Disruptive technology or business model
  • Large market space (10x potential)
  • Early stage/high controversy
  • Valuation difficulty or large market divergence
2. Position Management
Allocation Principle Specific Requirements
Single stock upper limit 2-5%
Number of positions 10-20
Industry diversification Cover 3-5 emerging tracks
Dynamic adjustment Quarterly evaluation
3. Risk Control Mechanisms
  • Layered buying
    : Initial 1%,加仓 to 3-5% after verification
  • Stop-loss discipline
    : Mandatory review triggered at -30%
  • Time stop-loss
    : Exit process initiated if no progress in 18 months
IV. Systematic Position Allocation Framework
1. Capital Allocation Ratio
├── Deterministic positions: 45%
│   ├── Core positions (5-8% ×5 stocks) =25-40%
│   └── Satellite positions (2-3% ×5 stocks)=10-15%
│
├── High-odds positions:25%
│   ├── Headline opportunities (3-5% ×3-4 stocks)=10-15%
│   └── Exploratory opportunities (1-2% ×8-10 stocks)=10-15%
│
├── Cash/flexible positions:20%
│   ├── Strategic cash (10%):应对 systemic risks
│   └── Flexible funds (10%): Capture sudden opportunities
│
└── Risk hedging:10%
    ├── Volatility hedging (5%)
    └── Industry neutrality (5%)
2. Rebalancing Mechanism

Quarterly rebalancing
(hard trigger):

  • Adjust when deterministic position deviation exceeds 5%
  • Adjust when high-odds position deviation exceeds3%
  • Reduce/increase position when a single stock rises/falls more than 50% of initial position

Dynamic trigger conditions
:

  • Increase deterministic positions to55% when market VIX index >25
  • Increase high-odds positions to35% when market VIX index <12
  • Reduce high-odds positions by50% when personal win rate <50% for 3 consecutive months
V. Application of the 10/40/50 Rule in Position Allocation

###1. Stock Selection Weight (10%)

  • Deterministic end
    :5-10 targets based on in-depth research
  • High-odds end
    :20-30 targets based on theme screening
  • Investment list
    : Continuously maintained, no more than50 tracked in depth

###2. Betting Strategy (40%)

Kelly Formula Application
:

f* = (bp - q) / b
Where:
b = Profit-loss ratio (expected return/expected loss)
p = Win rate
q =1-p

Practical Application
:

  • Deterministic investment: f*=(0.7×1.5-0.3)/1.5=50% (actually reduced to30-40% considering portfolio risk)
  • High-odds investment:f*=(0.3×5-0.7)/5=8% (actually controlled at2-5%)

Batch Position Building Method
:

  • Deterministic targets:3 rounds of position building (30%→40%→30%)
  • High-odds targets:2 rounds of position building (50%→50%, after verification)

###3. Psychological Management (50%)

Position Psychology
:

  • Deterministic positions
    : Provide psychological security, allowing calmness in high-odds end
  • High-odds positions
    : Meet return expectations, prevent over-conservatism in deterministic end
  • Cash positions
    : “Safety valve” for anxiety

Stress Test
:

  • Assuming 50% loss in all high-odds positions, maximum portfolio drawdown <20%
  • Assuming annualized return of only8% for deterministic positions, portfolio still has chance to outperform market
VI. Practical Execution Checklist
Daily/Weekly
  • Monitor position deviation
  • Record emotion diary (psychological state of buy/sell decisions)
  • Update research notes
Monthly
  • Evaluate 10/40/50 implementation
  • Check win rate and profit-loss ratio
  • Adjust single position upper limit
Quarterly
  • Comprehensive rebalancing
  • Evaluate cognitive depth score
  • Update investment assumptions
  • Stress test portfolio
VII. Key Warnings
  1. Avoid Middle Trap
    :果断 abandon targets that are neither deterministic enough nor high-odds enough
  2. Beware of Correlation
    : Correlation between deterministic assets and high-odds assets should <0.3
  3. Cognitive Honesty
    : Overestimating certainty is the biggest risk
  4. Survival First
    : No strategy should threaten principal safety
Core Summary

The essence of the barbell strategy is to

protect the downside with certainty and pursue the upside with high odds
. 45% deterministic positions provide stabilizer,25% high-odds positions provide explosive power, and30% cash and hedging provide safety margin. The10/40/50 rule reminds us:20% of investment success comes from research,40% from position management, and50% from psychological discipline.

In the AI era, the threshold for information acquisition is lowered, but

cognitive depth and the art of position management
have instead become the real source of excess returns.

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Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.