Indicator
Kijun-sen
Kalman Hull Kijun [BackQuant]Kalman Hull Kijun
A trend baseline that merges three ideas into one clean overlay, Kalman filtering for noise control, Hull-style responsiveness, and a Kijun-like Donchian midline for structure and bias.
Context and lineage
This indicator sits in the same family as two related scripts:
Kalman Price Filter
This is the foundational building block. It introduces the Kalman filter concept, a state-estimation algorithm designed to infer an underlying “true” signal from noisy measurements, originally used in aerospace guidance and later adopted across robotics, economics, and markets.
Kalman Hull Supertrend
This is the original script made, which people loved. So it inspired me to create this one.
Kalman Hull Kijun uses the same core philosophy as the Supertrend variant, but instead of building a Supertrend band system, it produces a single structural baseline that behaves like a Kijun-style reference line.
What this indicator is trying to solve
Most trend baselines sit on a bad trade-off curve:
If you smooth hard, the line reacts late and misses turns.
If you react fast, the line whipsaws and tracks noise.
Kalman Hull Kijun is designed to land closer to the middle:
Cleaner than typical fast moving averages in chop.
More responsive than slow averages in directional phases.
More “structure aware” than pure averages because the baseline is range-derived (Kijun-like) after filtering.
Core idea in plain language
The plotted line is a Kijun-like baseline, but it is not built from raw candles directly.
High level flow:
Start with a chosen price stream (source input).
Reduce measurement noise using Kalman-style state estimation.
Add Hull-style responsiveness so the filtered stream stays usable for trend work.
Build a Kijun-like baseline by taking a Donchian midpoint of that filtered stream over the base period.
So the output is a single baseline that is intended to be:
Less jittery than a simple fast MA.
Less laggy than a slow MA.
More “range anchored” than standard smoothing lines.
How to read it
1) Trend and bias (the primary use)
Price above the baseline, bullish bias.
Price below the baseline, bearish bias.
Clean flips across the baseline are regime changes, especially when followed by a hold or retest.
2) Retests and dynamic structure
Treat the baseline like dynamic S/R rather than a signal generator:
In uptrends, pullbacks that respect the baseline can act as continuation context.
In downtrends, reclaim failures around the baseline can act as continuation context.
Repeated back-and-forth around the line usually means compression or chop, not clean trend.
3) Extension vs compression (using the fill)
The fill is meant to communicate “distance” and “pressure” visually:
Large separation between price and baseline suggests expansion.
Price compressing into the baseline suggests rebalancing and decision points.
Inputs and what they change
Kijun Base Period
Controls the structural memory of the baseline.
Higher values track broader swings and reduce flips.
Lower values track tighter swings and react faster.
Kalman Price Source
Defines what data the filter is estimating.
Close is usually the cleanest default.
HL2 often “feels” smoother as an average price.
High/Low sources can become more reactive and less stable depending on the market.
Measurement Noise
Think of this as the main smoothness knob:
Higher values generally produce a calmer filtered stream.
Lower values generally produce a faster, more reactive stream.
Process Noise
Think of this as adaptability:
Higher values adapt faster to changing conditions but can get twitchy.
Lower values adapt slower but stay stable.
Plotting and UI (what you see on chart)
1) Adaptive line coloring
Baseline turns bullish color when price is above it.
Baseline turns bearish color when price is below it.
This makes the state readable without extra panels.
2) Gradient “energy” fill
Bull fill appears between price and baseline when above.
Bear fill appears between price and baseline when below.
The goal is clarity on separation and control, not decoration.
3) Rim effect
A subtle band around price that only appears on the active side.
Helps highlight directional control without hiding candles.
4) Candle painting (optional)
Candles can be colored to match the current bias.
Useful for scanning many charts quickly.
Disable if you prefer raw candles.
Alerts
Long state alert when price is above the baseline.
Short state alert when price is below the baseline.
Best used as a bias or regime notification, not a standalone entry trigger.
Where it fits in a workflow
This is a context layer, it pairs well with:
Market structure tools, BOS/MSB, OBs, FVGs.
Momentum triggers that need a regime filter.
Mean reversion tools that need “do not fade trends” context.
Limitations
No baseline eliminates chop whipsaws, tuning only manages the trade-off.
Settings should not be copy pasted across assets without checking behavior.
This does not forecast, it estimates and smooths state, then expresses it as a structural baseline.
Disclaimer
Educational and informational only, not financial advice.
Not a complete trading system.
If you use it in any trading workflow, do proper backtesting, forward testing, and risk management before any live execution.
Indicator
Kijun Sen Standard Deviation | QuantLapse SystemsOverview
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.
Indicator
Kijun_ATROVERVIEW
Kijun + ATR is an indicator that combines Lagging Kijun Base Line From Ichimoku Cloud (direction indicator) and Volatility Indicator ATR.
By combining ATR with kijun we can filter out noise from Base Line.
CALCULATIONS
Kijun is calculated by taking average of lowest and highest point of price over set lenght.
ATR is just default Tradingview Indicator that calculates average true range of price over set period of time.
WORKING
When both close > lower and not close < upper are true indicator indicate long by color limeand indicates short when close < upper by color fuchsia (Color can be changed in settings)
Indicator works best in Trending Market Regimes can have problems by signaling tops in Consolidating Market Regimes during bear markets and by sygnaling bottom in short consolidating market regimes during bull market.
Indicator
SuperIchi [LuxAlgo]Using one indicator as the core for another one to improve certain aspects while offering an alternative user interaction can be very interesting in technical analysis.
This indicator is a modification of the popular Ichimoku indicator using the equally popular Supertrend indicator as its core, thus no longer entirely relying on calculations done over a fixed window size but instead relying on the average true range and the trend detection method offered by the Supertrend.
Settings
Tenkan: Atr length (left) and factor (right) used for the Supertrend involved in the calculations of the Tenkan Ichimoku component
Kijun: Atr length (left) and factor (right) used for the Supertrend involved in the calculations of the Kijun Ichimoku component
Senkou Span B: Atr length (left) and factor (right) used for the Supertrend involved in the calculations of the second Senkou Span Ichimoku component
Displacement: Bar offset of the cloud (positive offset) and Chikou (negative offset)
Usage
The SuperIchi indicator can be interpreted similarly to a regular Ichimoku as it retains the components and aspects from this one. Users can make use of the Supertrend Factor to detect shorter or longer-term trends.
Unlike the regular components of the Ichimoku based on rolling maximums/minimums, using the Supertrend here allows smoother components and makes it less prone to whipsaw signals.
Note that the Chikou is disabled by default in the style settings
Details
The original Ichimoku indicator is constructed from the average between the rolling maximum high and minimum low values. The Supertrend indicator also relies on one upper/lower extremity but using the average of these extremities for the modification of the Ichimoku indicator might not provide easy to use results due to the nature of these extremities.
Instead, we compute the average between the Supertrend and trailing maximums/minimums with a value reset when a new trend is detected by the Supertrend. This allows obtaining a result that is closer to the original average used by Ichimoku.
Indicator
Multi Timeframe Kijun-sen [Takazudo]Multi Timeframe Kijun-sen implementation. Kijun-sen is a part of Ichimoku Kinko-hyo. This study is intented to be used as a part of buy/sell strategies.
This may be useful for lower timeframe entries.
This Kijun-sen script can be smooth using MA.
Indicator
Kijun-Price DistanceThis script shows optional:
- distance between close price and Kijun-Sen
- distance btween Tenkan-Sen and Kijun-Sen
- Background color of current time frame
- Background color of the next higher time frame
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RSI with BGThis is a standard RSI indicator with Background colour and the option to draw the Background colour of the next higher timeframe.
Unfortunately, the 3D timeframe is not working properly (weekly background is not displayed). This is the same problem as with the MACD BG study.
Indicator
Tenkan-Sen Kijun-Sen Distance (TKD) Oscillator - IchimokuThe TKD is the distance between the Tenkan-Sen and the Kijun-Sen, expressed in percentage of current price. The further apart the tenken-sen and kijun-sen are, the more they want to snap back together. This makes for a decent oscillator. When the Tenkan-Sen is above the Kijun-Sen, the TKD is green. When it is below, the TKD is red. At the crossing points, it turns blue.
For those more familiar with Ichimoku Cloud techniques, one might also think of this indicator as a C-Clamp indicator. Bar coloring is supported and enabled by default. There's also an option to flip/invert the green/red colors in case you want to use it to judge pending cycles rather than current ones.
Indicator
Kijun Oscillator [-W-]Eng.
Kijun is one of the lines of the Ichimoku indicator.
The indicator shows the relative deviation of the price from this line.
This indicator can be used to determine divergences, market phases, and all that other oscillators show. )
Rus .
Kijun - одна из линий индикатора Ишимоку.
Индикатор показывает относительное отклонение цены от этой линии.
По этому индикатору можно определять дивергенции, фазы рынка и всё то, что показывают другие осцилляторы. )
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Kijun-sen Colored [aamonkey]I isolated the Kijun-sen from the Ichimoku Cloud and colored it.
You can do major damage by just entering when the price closes above the Kijun-sen and sell when it is the other way around.
Add some other confirmation indicators to filter some false breakouts and you are good to go.
Indicator
Triple Kijun Trend by SpiralmanIspired from "Oscars Simple Trend Ichimoku Kijun-sen" by CapnOscar
Script displays 3 kijun lines: one for current TF, second one emulates it for TF 4 times higher, third one for x16.
For example on 1H chart there will be 3 kijuns: one for 1H, second one for 4H (emulated), third one for 16H (emulated).
Kijuns change colors based on their position relative to price.
Kijun Sen
The base line, the slower EMA derivative, and a dynamic representation of the mean. With that said, the Kijun serves as both critical support and resistance levels for price. How does it work, and why would the Kijun be superior to commonly used moving average indicators? Fun fact: The Kijun dynamically equalizes itself to be the 50% retracement (or 0.5 Fibonacci level) of price for any given swing, and price will ALWAYS gravitate to the Kijun at some point regardless of how far above or below it is from it. By taking the median of price extremes, the Kijun accounts for volatility that other MAs or EMAs do not. A flat horizontal Kijun means that price extremes have not changed, and that the current trend losing momentum. Crypto-adjusted calculation: (highest high + lowest low) / 2 calculated over the last 60 periods.
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Oscars Simple Trend Ichimoku Kijun-senThis super simple Kijun-sen line borrowed from Ichimoku Clouds for trend following.
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