Risk Management

Risk Management

Portfolio-level risk controls for crypto and Solana trading. This skill provides frameworks for drawdown management, exposure limits, circuit breakers, and crypto-specific risk considerations.

Risk Management Hierarchy

Every decision must respect this priority order:

1. Survival — Never risk account ruin. No single trade, day, or week should threaten your ability to continue trading.
2. Capital preservation — Protect what you have. Losses compound geometrically; recovery requires outsized gains.
3. Growth — Only after survival and preservation are secured, pursue returns.

Violating this hierarchy (chasing growth at the expense of survival) is the primary cause of account blowups.

Portfolio-Level Controls

1. Maximum Drawdown Limits

Halt trading when portfolio drawdown from equity peak reaches a threshold:

| Account Type | Max Drawdown | Action | |---|---|---| | Conservative | -15% | Full stop, review all strategies | | Moderate | -20% | Full stop, reduce to minimum size on recovery | | Aggressive | -25% | Full stop, mandatory cooling period |

Recovery math makes this critical: a -20% drawdown requires +25% to recover. A -50% drawdown requires +100%. See references/drawdown_management.md for the full recovery table.

2. Daily Loss Limits

Stop opening new positions after daily P&L (realized + unrealized) hits:

• Conservative: -3% of account
• Moderate: -4% of account
• Aggressive: -5% of account

Reset at midnight UTC. Three consecutive days hitting the daily limit triggers a weekly halt.

3. Weekly Loss Limits

Reduce size or halt after weekly P&L reaches:

• Reduce size by 50%: -5% weekly loss
• Minimum size only: -7% weekly loss
• Full halt: -10% weekly loss

4. Concentration Limits

Maximum allocation to any single dimension:

| Dimension | Max Concentration | |---|---| | Single token (blue chip) | 10% of account | | Single token (mid-cap) | 5% | | Single token (small-cap) | 2% | | Single token (PumpFun/micro) | 0.5% | | Single sector/narrative | 30% | | Single strategy | 40% |

5. Exposure Limits

Total deployed capital constraints:

• Normal conditions: 50–80% deployed, 20–50% cash reserve
• Elevated risk: 30–50% deployed
• Drawdown >10%: 20–30% deployed
• Max concurrent positions: 5–10 depending on account size

6. Correlation Management

Crypto assets correlate >0.7 during sell-offs. Effective diversification requires:

• Treat all meme tokens as a single correlated bucket
• Limit total meme exposure to one position-size equivalent
• Diversify across strategies (trend, mean-reversion, scalp), not just tokens
• Monitor rolling correlation and reduce when correlations spike

See references/exposure_limits.md for detailed limits by token type and strategy.

Drawdown Management

Response Framework

| Drawdown | Status | Response | |---|---|---| | 0–5% | Normal | Continue trading at full size | | 5–10% | Caution | Reduce position sizes by 25–50% | | 10–15% | Warning | Minimum position sizes only | | 15–20% | Critical | Halt new trades, manage existing positions only | | >20% | Emergency | Full stop, review everything before resuming |

Recovery Requirements

| Loss | Required Gain to Recover | |---|---| | -5% | +5.3% | | -10% | +11.1% | | -15% | +17.6% | | -20% | +25.0% | | -30% | +42.9% | | -40% | +66.7% | | -50% | +100.0% |

The asymmetry accelerates rapidly. Managing small drawdowns prevents them from becoming catastrophic. See references/drawdown_management.md for the full framework.

Circuit Breakers

Automated controls that restrict trading when conditions are met:

Time-Based

• No trading for 24 hours after hitting daily loss limit
• 48-hour cooling period after weekly loss limit
• Mandatory weekly review day (no new positions)

Loss-Based

• 3 consecutive losses → reduce size 50%
• 5 consecutive losses → minimum size only
• 7 consecutive losses → halt 24 hours, full review

Volatility-Based

• Portfolio volatility >2× rolling average → reduce exposure 50%
• Market-wide liquidation events → pause all new entries
• Individual token volatility spike → exit or tighten stops

Emotional (Self-Assessed)

• Recognize tilt: anger after losses, urge to "make it back"
• FOMO: rushing entries without proper analysis
• Overconfidence: increasing size after a win streak without justification

See references/circuit_breakers.md for implementation details.

Risk Metrics

Value at Risk (VaR)

95th-percentile daily loss estimate using historical returns:

import numpy as np

def historical_var(returns: list[float], confidence: float = 0.95) -> float:
    """Calculate historical VaR at given confidence level."""
    sorted_returns = sorted(returns)
    index = int((1 - confidence) * len(sorted_returns))
    return abs(sorted_returns[index])

# Example: 95% VaR of 3.2% means on 95% of days, loss won't exceed 3.2%

Expected Shortfall (CVaR)

Average loss in the worst (1 - confidence)% of scenarios:

def expected_shortfall(returns: list[float], confidence: float = 0.95) -> float:
    """Average loss beyond VaR threshold."""
    sorted_returns = sorted(returns)
    index = int((1 - confidence) * len(sorted_returns))
    tail = sorted_returns[:index]
    return abs(sum(tail) / len(tail)) if tail else 0.0

Maximum Drawdown

def max_drawdown(equity_curve: list[float]) -> float:
    """Peak-to-trough decline as a fraction."""
    peak = equity_curve[0]
    max_dd = 0.0
    for value in equity_curve:
        peak = max(peak, value)
        dd = (peak - value) / peak
        max_dd = max(max_dd, dd)
    return max_dd

Additional Metrics

• Win/loss streak tracking: Detect hot/cold streaks for circuit breaker logic
• Rolling Sharpe ratio: 30-day rolling risk-adjusted returns
• Calmar ratio: Annualized return / max drawdown
• Sortino ratio: Return / downside deviation (penalizes only negative volatility)

Crypto-Specific Risks

Smart Contract Risk

• Never allocate >5% of account to a single unaudited protocol
• Diversify across audited protocols for yield strategies
• Monitor exploit databases and social channels for emerging threats

Rug Pull Risk

• Size inversely with token age: newer tokens get smaller positions
• Verify: locked liquidity, renounced mint authority, holder distribution
• Cross-reference with token-holder-analysis skill for red flags

Bridge and Custody Risk

• Don't hold >20% on any single platform or bridge
• Self-custody the majority of trading capital
• Budget for bridge fees and delays in execution planning

MEV and Execution Risk

• Budget 1–3% for MEV/slippage on Solana DEX trades
• Use priority fees during congestion
• See slippage-modeling skill for detailed cost estimation

Correlation Spikes

• In crashes, crypto correlations approach 1.0
• Your "diversified" portfolio may behave as one position
• Stress-test portfolio assuming all positions drop simultaneously

PumpFun Risk Framework

PumpFun and similar meme token platforms require a distinct risk approach:

Core Principle

Treat every PumpFun trade as a potential 100% loss. Size accordingly.

Position Limits

• Per-token maximum: 0.1–0.5 SOL
• Daily PumpFun budget: Fixed allocation (e.g., 2 SOL/day)
• Never exceed budget: When daily allocation is gone, stop

Tracking

• Track PumpFun P&L separately from main portfolio
• Calculate PumpFun win rate and expectancy independently
• Don't let PumpFun losses affect main portfolio risk limits

Risk Adjustments

• No stop-losses on PumpFun (assume 100% loss at entry)
• Take profits aggressively: 2×, 3×, 5× partial exits
• Time-based exit: close within hours, not days

Integration with Other Skills

• position-sizing: Use risk limits from this skill to constrain position sizes
• exit-strategies: Circuit breakers override exit strategies (forced exits)
• portfolio-analytics: Feed portfolio metrics back for risk assessment
• liquidity-analysis: Adjust position limits based on available liquidity
• slippage-modeling: Factor execution costs into risk calculations

Files

References

• references/drawdown_management.md — Drawdown math, response framework, causes, and remediation
• references/exposure_limits.md — Position limits by token type, portfolio limits, correlation management
• references/circuit_breakers.md — Implementation details for all circuit breaker types

Scripts

• scripts/risk_dashboard.py — Portfolio risk dashboard with limit checking and color-coded status
• scripts/drawdown_analyzer.py — Equity curve drawdown analysis with response recommendations

Quick Start

# Run the risk dashboard with demo data
python scripts/risk_dashboard.py --demo

# Analyze drawdowns on a demo equity curve
python scripts/drawdown_analyzer.py --demo

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: agiprolabs
• Source: agiprolabs/claude-trading-skills
• License: MIT

Install and usage instructions live in the source repository linked above.