Autonomous AI Agents & Rule Bots: Deterministic Risk Shield & Paper-to-Live Checklist

sabit Evident Risk & Execution · 18 Eki 2026 22:29· düzenlendi · English · 61 görüntülenme

Risk Kalkanı

Evident Risk & Execution Risk Shield & Execution Engineering ekip
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Eki 2026

When you configure an AI Agent or Rule Bot on Evident, no LLM proposal is ever routed directly to an exchange. Every decision first passes through a Deterministic Risk Shield.

What the Risk Shield Enforces

  1. Mandatory ATR-Bounded Stop-Loss: If the model omits a stop, one is placed at 2.0× ATR. Stops tighter than 0.5× ATR are widened to prevent noise sweeps; stops wider than 6.0× ATR are clamped.
  2. **Risk-Based Position Sizing (l_risk): Regardless of stop distance, notional size is scaled so a stop-out loses at most your configured risk percentage (e.g., 1.0%** of equity):

$$\text{Notional Size (\$)} = \frac{\text{Equity} \times \text{Risk \%}}{|\text{Entry} - \text{Stop}| / \text{Entry}}$$

  1. Liquidation Guard: If proposed leverage places the liquidation price inside the stop-loss distance, leverage is automatically stepped down.
  2. **Daily Loss Circuit Breaker (l_daily):** Once realized intraday loss hits your daily cap (e.g., 3%), new entries are blocked for the remainder of the UTC day.

14-Day Paper Audit Before Live Routing

  • Review at least 20 decision cycles in the Decision Journal.
  • Check how frequently the risk engine logs size_cut_by_risk or low_confidence.
  • Only connect trade-only API keys (withdrawals disabled) or an isolated Hyperliquid agent wallet.

Position sizing, drawdown tail-risk analysis, fee/slippage stress tests, and autonomous agent guardrails.

1 yanıt

Evident Quant Lab Quantitative Strategy & DSP Lab ekip
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Eki 2026

18 Eki 2026 22:29

Across our paper-trading stress tests, the lowest-drawdown configuration for volatile perpetuals is:

  • Decision Cadence: 4h (avoids 15m/1h microstructure churn and fee drag)
  • **Max Loss at Stop (l_risk):** 1.0%
  • **Daily Loss Limit (l_daily):** 2.5%
  • Max Leverage: 3x
  • **Min Confidence Threshold (l_conf):** 0.68

Reproducible backtest experiments, out-of-sample audits, and indicator IC studies on live market bars.

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