risk

Risk - Complete API Reference

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Install skill "risk" with this command: npx skills add alsk1992/cloddsbot/alsk1992-cloddsbot-risk

Risk - Complete API Reference

Full risk management engine: circuit breakers, loss limits, Value-at-Risk, volatility regime detection, stress testing, and kill switches.

Chat Commands

View Risk Status

/risk Current risk status /risk status Detailed status with portfolio metrics /risk limits View all limits /risk dashboard Real-time risk metrics (VaR, regime, HHI, etc.)

Risk Analytics

/risk var Value-at-Risk and CVaR numbers /risk regime Current volatility regime and size multiplier /risk stress [scenario] Run stress test (flash_crash, black_swan, etc.)

Available stress scenarios: flash_crash , liquidity_crunch , platform_down , correlation_spike , black_swan

Configure Limits

/risk set max-loss 1000 Max daily loss ($) /risk set max-loss-pct 10 Max daily loss (%) /risk set max-drawdown 20 Max drawdown (%) /risk set max-position 25 Max single position (%) /risk set max-trades 50 Max trades per day /risk set consecutive-losses 5 Stop after N losses

Circuit Breaker

/risk trip "manual stop" Manually trip breaker /risk reset Reset after cooldown /risk kill Emergency stop all trading /risk check 500 Check if a $500 trade is allowed

TypeScript API Reference

Unified Risk Engine

The risk engine is the single entry point for all pre-trade validation. It orchestrates 10 checks in order:

  • Kill switch (SafetyManager)

  • Circuit breaker (execution-level)

  • Max order size

  • Exposure limits

  • Daily loss limit

  • Max drawdown

  • Position concentration

  • VaR limit

  • Volatility regime

  • Kelly sizing recommendation

import { createRiskEngine } from 'clodds/risk';

const engine = createRiskEngine( { varLimit: 500, // Reject trades if portfolio VaR > $500 varConfidence: 0.95, varWindowSize: 100, volatilityConfig: { lookbackWindow: 30, haltOnExtreme: true, // Stop trading in extreme volatility }, }, { riskContext, // From trading/risk.ts safetyManager, // From trading/safety.ts circuitBreaker, // From execution/circuit-breaker.ts kellyCalculator, // From trading/kelly.ts getPositions: () => positions, getPositionValues: () => positions.map(p => p.value), } );

Validate a Trade

const decision = engine.validateTrade({ userId: 'user-123', platform: 'polymarket', marketId: 'market-456', outcome: 'YES', side: 'buy', size: 500, price: 0.65, estimatedEdge: 0.05, // 5% edge confidence: 0.8, category: 'politics', });

if (decision.approved) { // Use adjustedSize — may be smaller than requested (Kelly + regime) await executeTrade(decision.adjustedSize); console.log(Regime: ${decision.regime}); console.log(Warnings: ${decision.warnings}); } else { console.log(Blocked: ${decision.reason}); // Check which step failed: for (const check of decision.checks) { console.log( ${check.name}: ${check.passed ? 'PASS' : 'FAIL'} — ${check.message}); } }

Record Trade P&L (feeds VaR + volatility)

engine.recordPnL({ pnlUsd: -45.20, pnlPct: -0.09, positionId: 'polymarket:market-456:YES', timestamp: new Date(), });

Portfolio Risk Snapshot

const risk = engine.getPortfolioRisk(); console.log(Total value: $${risk.totalValue}); console.log(VaR (95%): $${risk.var95}); console.log(VaR (99%): $${risk.var99}); console.log(CVaR (95%): $${risk.cvar95}); console.log(Regime: ${risk.regime}); console.log(Drawdown: ${risk.drawdownPct}%);

Value-at-Risk

import { createVaRCalculator, calculateVaR, calculateCVaR } from 'clodds/risk';

// Full calculator with rolling window const calc = createVaRCalculator({ windowSize: 100, confidenceLevel: 0.95 }); calc.addObservation({ pnlUsd: -50, pnlPct: -0.05, timestamp: new Date() }); const result = calc.calculateAt(0.99); console.log(VaR (99%): $${result.historicalVaR}); console.log(CVaR (99%): $${result.cvar});

// Quick one-liners const var95 = calculateVaR(pnlArray, 0.95); const cvar95 = calculateCVaR(pnlArray, 0.95);

Volatility Regime Detection

import { createVolatilityDetector, detectRegime } from 'clodds/risk';

const detector = createVolatilityDetector({ lookbackWindow: 30, haltOnExtreme: false, regimeMultipliers: { low: 1.2, normal: 1.0, high: 0.5, extreme: 0.25 }, });

detector.addObservation(0.03); // 3% P&L const snapshot = detector.detect(); console.log(Regime: ${snapshot.regime}); // 'low' | 'normal' | 'high' | 'extreme' console.log(Size multiplier: ${snapshot.sizeMultiplier}x); console.log(Should halt: ${snapshot.shouldHalt});

// One-shot from array const regime = detectRegime(recentPnLPcts);

Stress Testing

import { runStressTest, runAllScenarios, getAvailableScenarios } from 'clodds/risk';

const result = runStressTest(positions, 'flash_crash'); console.log(Estimated loss: $${result.estimatedLoss} (${result.estimatedLossPct}%)); console.log(Severity: ${result.severity}); console.log(Recommendations: ${result.recommendations.join(', ')});

// Run all scenarios at once const all = runAllScenarios(positions); // sorted by severity

// Override scenario parameters const custom = runStressTest(positions, 'flash_crash', { scenarios: { flash_crash: { lossPct: 30, description: 'Severe crash' } }, });

Risk Dashboard

import { getRiskDashboard } from 'clodds/risk';

const dashboard = engine.getDashboard(); console.log(VaR (95%): $${dashboard.portfolioVaR95}); console.log(Regime: ${dashboard.regime} (${dashboard.regimeSizeMultiplier}x)); console.log(Daily P&L: $${dashboard.dailyPnL} / $${dashboard.dailyLossLimit}); console.log(Drawdown: ${dashboard.currentDrawdown}% / ${dashboard.maxDrawdown}%); console.log(Concentration HHI: ${dashboard.concentrationHHI}); console.log(Kill switch: ${dashboard.killSwitchActive}); console.log(Warnings: ${dashboard.warnings});

Circuit Breaker (Standalone)

import { createCircuitBreaker, MODERATE_CONFIG } from 'clodds/risk';

// Feature-engineering circuit breaker (market-condition-aware) const breaker = createCircuitBreaker(MODERATE_CONFIG); breaker.startMonitoring();

if (!breaker.canTrade('polymarket', marketId)) { return; // Trading halted }

breaker.recordTrade({ success: true, pnl: 2.5 });

Kill Switch

// Emergency stop via SafetyManager — no auto-resume safetyManager.killSwitch('Market anomaly detected');

// Resume manually after review safetyManager.resumeTrading();

Risk Engine Checks

Check Module Blocks Trade?

1 Kill switch SafetyManager Yes

2 Circuit breaker CircuitBreaker Yes

3 Max order size trading/risk Yes

4 Exposure limits trading/risk Yes

5 Daily loss limit SafetyManager Yes

6 Max drawdown SafetyManager Yes

7 Concentration SafetyManager Yes

8 VaR limit VaRCalculator Yes (if configured)

9 Volatility regime VolatilityDetector Yes (if extreme + halt)

10 Kelly sizing DynamicKelly No (adjusts size)

Circuit Breaker Triggers

Trigger Default Description

Daily loss (USD) $1,000 Absolute loss limit

Daily loss (%) 10% Percentage of capital

Drawdown 20% Peak-to-trough

Consecutive losses 5 Losses in a row

Error rate 50% Failed order rate

Max trades 50 Trades per day

Volatility Regimes

Regime Size Multiplier Description

low

1.2x Calm markets, slightly larger positions

normal

1.0x Baseline conditions

high

0.5x Elevated volatility, half size

extreme

0.25x Crisis — quarter size or halt trading

Stress Test Scenarios

Scenario Loss Description

flash_crash

20% All positions lose value instantly

liquidity_crunch

10% Slippage doubles, partial fills

platform_down

15% Primary platform offline

correlation_spike

25% All positions move together

black_swan

40% 3-sigma tail event

Status Levels

Status Description

armed

Normal, trading allowed

warning

Approaching limits (80%)

tripped

Limit exceeded, trading stopped

killed

Emergency stop, manual reset required

Recovery Process

  • Auto-reset: Next day at midnight (daily counters)

  • Cooldown: Circuit breaker auto-resets after cooldown period

  • Manual reset: /risk reset to re-arm

  • Kill recovery: /risk reset after manual review (no auto-resume)

Best Practices

  • Start conservative — Lower limits while learning

  • Don't override — Respect the circuit breaker

  • Review trips — Understand why limits were hit

  • Monitor VaR — Use /risk var and /risk dashboard regularly

  • Run stress tests — Use /risk stress before large position changes

  • Watch regime — Use /risk regime to understand current volatility

  • Adjust limits — Based on strategy performance and regime

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