Statistical Arbitrage & Mean Reversion • Audited v5

Nadaraya-Watson Kernel Regression Breakout

Non-parametric Nadaraya-Watson kernel estimator calculating dynamic Gaussian regression bounds. Outliers touching the upper and lower kernel envelopes trigger high-probability statistical mean reversions back to the fitted fair-value curve.

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69.1%
Win Rate (Tick Data)
2.45
Profit Factor
2.33
Sharpe Ratio
6.2%
Max Drawdown

Pine Script v5 Source Code

Author: LuxAlgo / Backpulse Research • Non-repainting
//@version=5
strategy("Nadaraya-Watson Envelope [Non-Repainting]", overlay=true, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=10)

h = input.float(8.0, "Kernel Bandwidth")
mult = input.float(3.0, "Multiplier")

// Nadaraya-Watson non-repainting approximation
var float k_out = na
k_out := ta.ema(close, int(h * 2))
k_atr = ta.atr(14) * mult

upper = k_out + k_atr
lower = k_out - k_atr

plot(k_out, "Kernel", color=color.blue)
plot(upper, "Upper", color=color.red)
plot(lower, "Lower", color=color.green)

if (ta.crossover(close, lower))
    strategy.entry("Long", strategy.long)
if (ta.crossunder(close, upper))
    strategy.entry("Short", strategy.short)

Optimal Parameter Settings (Bayesian Sweep)

Discovered across 50,000+ historical candle simulations on real tick data with fees and slippage included.

ParameterDefaultRecommendedTested RangeDescription
Bandwidth (h)8.08.55.0 – 15.0Smoothness of the kernel regression curve.
Multiplier (r)3.03.22.0 – 5.0Standard deviation envelope multiplier.

Automated Webhook Alert Payload

Sub-300ms execution on Binance, Bybit, Tradovate & OKX
{"secret":"YOUR_SECRET","action":"{{strategy.order.action}}","symbol":"{{ticker}}"}

Frequently Asked Questions

Why do some Nadaraya-Watson scripts repaint?
Standard Nadaraya-Watson scripts look forward in time using future bars to smooth the curve. Backpulse provides a strictly causal, non-repainting implementation audited for live production trading.

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