Regime Detection: ADX, Choppiness Index & Efficiency Ratio

Preventing trend bots from bleeding in sideways chop by gating signals on Kaufman's Efficiency Ratio and Choppiness Index. Within the Algorithmic Trading curriculum (Systematic Strategy Design → Regime Filtering), this topic establishes the concrete quantitative rules and execution mechanics required for live market deployment.

Professional desks never rely on ambiguous visual guesses for adx. Instead, every entry, invalidation level, and risk parameter is defined mathematically before a single order reaches the exchange gateway.

Hover over key terms below for instant definitions: Adx, Choppiness Index, and Efficiency Ratio. For the complete mathematical derivation and edge-case analysis, open worked example & quantitative lookup matrix for adx choppiness filters.

• Adx — Core structural driver governing regime detection: adx, choppiness index & efficiency ratio.
• Choppiness Index — Prevents premature entries and enforces mechanical discipline across Regime Filtering.
• Efficiency Ratio — Ensures worst-case scenario losses stay strictly within predetermined R-multiple budgets.

1. 1
   1. Pre-Session Calibration & Regime Check

   Measure baseline volatility and liquidity parameters for adx prior to market open.
2. 2
   2. Mechanical Signal Confirmation

   Wait for a completed bar close confirming the choppiness index threshold—never pre-empt mid-candle.
3. 3
   3. Risk-Normalized Sizing & Order Placement

   Compute exact lot quantity from the invalidation distance and dispatch via a Marketable Limit order.
4. 4
   4. Post-Trade Telemetry & Audit

   Log arrival price, fill slippage, and MAE/MFE metrics against the Regime Filtering benchmark.

Implementation & Quantitative Model

1export function kaufmanEfficiencyRatio(closes: number[]): number {2  const netMove = Math.abs(closes[closes.length - 1] - closes[0]);3  const sumSteps = closes.slice(1).reduce((s, c, i) => s + Math.abs(c - closes[i]), 0);4  return sumSteps > 0 ? netMove / sumSteps : 0;5}

Cross-reference standard risk definitions such as drawdown, slippage, and Sharpe ratio when auditing your logs.