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Kijun Sen Standard Deviation | QuantLapse Systems

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Overview

The Kijun Sen Standard Deviation indicator by QuantLapse Systems is a volatility-aware trend-following framework that combines the structural equilibrium of the Kijun Sen (基準線) with statistically adaptive standard deviation bands.
By anchoring trend detection to market structure and confirming direction through volatility expansion, the indicator delivers a cleaner, more reliable regime classification across varying market conditions.

Rather than reacting to short-term noise, the system focuses on identifying statistically justified trend phases, making it well-suited for disciplined, rule-based trading.

Technical Composition, Calculation, Key Components & Features

📌 Kijun Sen (基準線) – Structural Trend Baseline

  • Calculated as the midpoint between the highest high and lowest low over a user-defined period.
  • Represents market equilibrium and structural balance rather than short-term momentum.
  • Naturally adapts to expanding and contracting price ranges.
  • Provides a stable baseline for regime detection and volatility validation.
  • Acts as the anchor for deviation bands and persistent trend-state logic.


Unlike fast or reactive moving averages, the Kijun Sen emphasizes price structure and equilibrium, making it especially effective for higher-quality trend confirmation.

📌 Volatility Adjustment – Standard Deviation Bands

  • Standard deviation is calculated over a configurable lookback to measure current price dispersion.
  • Upper and lower envelopes are formed by applying a deviation multiplier to the Kijun Sen.
  • Band width expands during volatility surges and contracts during consolidation.
  • Creates proportional, volatility-aware thresholds instead of static offsets.
  • Visually represents market energy through expanding and compressing channels.


These adaptive bands ensure that trend signals only occur when volatility supports directional movement.

📌 Trend Signal & Regime Calculation

  • Bullish Trend is confirmed when price closes above the upper deviation band.
  • Bearish Trend is confirmed when price closes below the lower deviation band.
  • Once established, the trend state persists until an opposing volatility break occurs.
  • This persistence reduces whipsaws and improves regime stability.
  • Trend state is reinforced with color-coded lines, envelopes, and background shading.


This volatility-confirmed persistence model is visible in the chart, where trends remain intact through minor pullbacks and only flip on decisive expansion.

How It Works in Trading

  • Volatility-Confirmed Trend Detection – Requires expansion beyond deviation bands.
  • Noise Suppression – Filters low-energy price movement within volatility envelopes.
  • Regime Persistence – Maintains trend state until statistical invalidation.
  • Immediate Visual Context – Direction, strength, and transitions are clear at a glance.


Visual Representation

Trend signals are displayed directly on price using both line and background context:

  • 🟢 Green / Teal Kijun & Envelope → Confirmed bullish regime.
  • 🔴 Red / Pink Kijun & Envelope → Confirmed bearish regime.
  • Semi-transparent band fill visualizes volatility expansion and compression.
  • Buy and Sell labels appear only on confirmed regime transitions.


The lower panel includes:

  • Strategy equity curve based on trend exposure.
  • Buy & Hold equity for performance comparison.
  • Background regime shading synchronized with trend state.


Features and User Inputs

The Kijun Sen Standard Deviation framework offers a focused yet powerful set of configurable inputs:

  • Kijun Sen Length – Controls structural trend sensitivity.
  • Standard Deviation Controls – Adjust lookback length and multiplier for regime strictness.
  • Backtesting & Date Filters – Define evaluation periods and starting conditions.
  • Display Options – Toggle labels, equity curves, and background shading.
  • Color Customization – Fully configurable buy/sell colors for trends and equity curves.


These controls allow users to balance responsiveness, stability, and clarity without overfitting.

Practical Applications

The Kijun Sen Standard Deviation indicator is designed for traders who prioritize structure, volatility confirmation, and regime awareness.

  • Primary Trend Filtering – Identify and stay aligned with dominant market direction.
  • Volatility-Aware Trend Following – Participate only when price expansion confirms intent.
  • Risk-Managed Exposure – Avoid chop during compression and transitional phases.
  • Systematic Strategy Development – Use as a regime engine or higher-timeframe filter.
  • Performance Evaluation – Compare trend-following equity against buy-and-hold benchmarks.


This framework bridges classical Ichimoku structure with modern statistical validation.

Conclusion

The Kijun Sen Standard Deviation indicator by QuantLapse Systems represents a refined evolution of Ichimoku-based trend analysis.
By integrating the structural equilibrium of the Kijun Sen with adaptive standard deviation confirmation, the system delivers clearer regime classification, reduced noise, and more reliable trend participation.

Rather than attempting to predict price, it focuses on confirming when trends are statistically justified.

Who should use Kijun Sen Standard Deviation:

  • 📊 Trend-Following Traders – Stay aligned with dominant market structure.
  • Momentum & Swing Traders – Enter only on volatility-backed expansions.
  • 🤖 Systematic & Algorithmic Traders – Ideal as a regime filter or trend-state engine.


Past performance is not indicative of future results.
Disclaimer: All trading involves risk, and no indicator can guarantee profitability.

Strategic Advice: Always backtest thoroughly, optimize parameters responsibly, and align settings with your timeframe, asset class, and risk tolerance before live deployment.

Disclaimer

The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.