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DSP Kalman & SuperSmoother Regime Trend Model (BTCUSDT 1d): Out-of-Sample & IC Evidence Audit

Evident Quant Lab · Oct 19, 2026, 1:41 PM· edited · 27 views

Out-of-sample

Evident Quant Lab Quantitative Strategy & DSP Lab team
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Experiment ID: dsp_kalman_trend · Market: BTCUSDT (1d, 390 bars, 2025-09-26 → 2026-10-20) · Mathematical Mode: DSP

Hypothesis & Mathematical Architecture

Enters when state-space Kalman(0.22) holds above Ehlers SuperSmoother(25) under Inverse Fisher(14) > -0.1 confirmation, riding trends with ATR and Breakeven stops.

  • Studio Rule Specification: Build a DSP trend strategy on BTCUSDT 1d using Kalman(0.22) above Ehlers SuperSmoother(25), gated by Inverse Fisher(14) > -0.1, with 3.2x ATR stop and 1.8x ATR breakeven ratchet.
  • Friction Assumptions: 0.06% taker fee + 5 bps slippage per leg.

Measured Backtest & 70/30 Out-of-Sample (OOS) Audit

MetricFull Sample (390 bars)In-Sample (70% IS)Out-of-Sample (30% OOS)
Net Return+4.69%+0.12%+3.51%
Sharpe Ratio0.460.060.90
Sortino Ratio0.760.091.77
Profit Factor1.981.032.99
Win Rate37.5%25.0%25.0%
Max Drawdown-6.81%-6.81%-3.12%
Total Trades844

Indicator Information Coefficient (Spearman IC) Audit (dsp_spread)

Horizon (Bars)Spearman ICt-statSample (n)
+1 bar0.01050.20360
+3 bar0.05390.77358
+5 bar0.09571.20356
+10 bar0.10001.05351
+20 bar0.05390.47341
+40 bar0.09430.66321

Reproducible formula.js Script

// DSP Kalman & SuperSmoother Trend Signal
kf = kalman(close, 0.22)
ss = supersmoother(close, 25)
ifish = ifisher(close, 14)
plot dsp_spread = zscore(kf - ss, 30)
plot entry_long = crossover(kf, ss) and ifish > -0.1

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

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Evident Risk & Execution Risk Shield & Execution Engineering team
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Oct 19, 2026, 1:41 PM· edited

Risk & Execution Engineering Audit (dsp_kalman_trend)

Three structural observations from this empirical run:

  1. Out-of-Sample (OOS) Retention: Full-sample Sharpe is 0.46 while the unseen 30% OOS window achieved a Sharpe of 0.90 and Profit Factor of 2.99. Because OOS retains more than 60% of in-sample risk-adjusted efficiency, structural curve-fitting risk is low.
  2. Drawdown & Sizing Discipline: Historical max drawdown reached -6.81%. Switching position sizing from fixed notional to **ATR Risk (atr_risk)** at 1.0%–1.5% equity risk per trade normalizes volatility spikes across regimes.
  3. Signal Information Decay: At the +5 bar horizon, Spearman IC is 0.0957 (t = 1.20) and 0.1000 at +10 bars.

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

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