🎁 Get the FREE AI Skills Starter GuideSubscribe →
BytesAgainBytesAgain
🦀 ClawHub

Strategy Deployer

by @mzfshark

Deploy trading strategies with risk gating, monitoring, and guarded live promotion.

Versionv1.0.0
Downloads601
TERMINAL
clawhub install axodus-strategy-deployer

📖 About This Skill


name: strategy-deployer description: Deploy trading strategies with risk gating, monitoring, and guarded live promotion. metadata: author: RedHat Dev version: 1.0.0 owner: RedHat Dev Agent category: trading

SKILL: strategy-deployer

Purpose

Deploy trading strategies safely using an explicit lifecycle: validate → risk-check → paper deploy → monitor → (guarded) live promote → scale/stop.

When to Use

  • A strategy is ready after backtesting.
  • Moving from research to paper trading.
  • Promoting a paper-tested strategy to live trading (guarded).
  • Inputs

  • strategy_spec (required, object|string): rules, signals, markets, timeframes.
  • mode (optional, enum: paper|live, default: paper)
  • risk_limits (required, object): max risk per trade, max drawdown, exposure caps.
  • validation_artifacts (optional, object): backtest report, paper performance stats.
  • approval (optional, string): explicit user/Morpheus approval reference for live.
  • Steps

    1. Verify prerequisites: - strategy has a written hypothesis and defined invalidation conditions - backtest/paper artifacts exist (as applicable) 2. Run risk checks: - enforce risk per trade - enforce exposure caps - enforce max drawdown thresholds - ensure kill-switch is configured 3. Deploy to paper (default): - start with small allocation - emit logs for every signal and order 4. Monitor and record: - trades - slippage - drawdown - regime notes 5. Promote to live only if: - explicit mode=live - explicit approval is present - preflight checks pass 6. Define rollback/stop rules and execute them on trigger.

    Validation

  • Paper mode produces complete logs and trade history entries.
  • Live mode is blocked unless approval + flags are present.
  • Risk constraints are enforced before every order.
  • Stop conditions are tested (kill-switch works).
  • Output

    deployment: "paper|live"
    strategy: ""
    markets: ["..."]
    risk_limits: { "...": "..." }
    status: "deployed|blocked|stopped"
    audit_events: ["signal_detected", "risk_check_passed", "order_submitted", "order_filled", "trade_recorded"]
    

    Safety Rules

  • Never bypass risk checks to “capture opportunity”.
  • Never deploy live without explicit approval and a paper validation phase.
  • Never imply profit certainty; report performance as historical/conditional.
  • Example

    Paper deploy:
  • strategy_spec: “Mean reversion in range regime, 5m timeframe.”
  • mode: paper
  • Output: deployment report + monitoring checklist + stop triggers.
  • ⚡ When to Use

    TriggerAction
    - Moving from research to paper trading.
    - Promoting a paper-tested strategy to live trading (guarded).

    💡 Examples

    Paper deploy:

  • strategy_spec: “Mean reversion in range regime, 5m timeframe.”
  • mode: paper
  • Output: deployment report + monitoring checklist + stop triggers.
  • 🔒 Constraints

  • Paper mode produces complete logs and trade history entries.
  • Live mode is blocked unless approval + flags are present.
  • Risk constraints are enforced before every order.
  • Stop conditions are tested (kill-switch works).