Z-Score Trend Channels [BackQuant]Z-Score Trend Channels
A self-contained price-statistics framework that turns a rolling z-score into price channels, bias states, and trade markers. Run either trend-following or mean-reversion from the same tool with clear, on-chart context.
What it is
A rolling statistical map that measures how far price is from its recent average in standard-deviation units (z-score).
Adaptive channels drawn in price space from fixed z thresholds, so the rails breathe with volatility.
A simple trend proxy from z-score momentum to separate trending from ranging conditions.
On-chart signals for pullback entries, stretched extremes, and practical exits.
Core idea (plain English math)
Rolling mean and volatility - Over a lookback you get the average price and its standard deviation.
Z-score - How many standard deviations the current price is above or below its average: z = (price - mean) / stdev. z near 0 means near average; positive is above; negative is below.
Noise control - An EMA smooths the raw z to reduce jitter and false flickers.
Channels back in price - Fixed z levels are converted back to price to form the upper, lower, and extreme rails.
Trend proxy - A smoothed change in z is used as a lightweight trend-strength line. Positive strength with positive z favors uptrend; negative strength with negative z favors downtrend.
What you see on the chart
Channels and fills - Mean, upper, lower, and optional extreme lines. The area mean->upper tints with the bearish color, mean->lower tints with the bullish color.
Background tint (optional) - Soft green, red, or neutral based on detected trend state.
Signals - Bullish Entry (triangle up) when z exits the oversold zone upward; Bearish Entry (triangle down) when z exits the overbought zone downward; Extreme markers (diamonds) at the extreme bands with a one-bar turn.
Table - Current z, trend state, trend strength, distance to bands, market state tag, and a quick volatility regime label.
Edge labels - MEAN, OB, and OS labels slightly projected forward with level values.
Inputs you will actually use
Z-Score Period - Lookback for mean and stdev. Larger = slower and steadier rails, smaller = more reactive.
Smoothing Period - EMA on z. Lower = earlier but choppier flips; higher = later but cleaner.
Price Source - Default hlc3. Choose close if you prefer session-close logic.
Upper and Lower Thresholds - Default around +2.0 and -2.0. Tighten for more signals, widen for fewer and stronger.
Extreme Upper and Lower - Deeper stretch guards, e.g., +/- 2.5.
Strength Period - EMA on z momentum. Sets how fast the trend proxy flips.
Trend Threshold - Minimum absolute z to accept a directional bias.
Visual toggles - Channels, signals, background tint, stats table, colors, and optional last-bar trend label.
How to use it: trend-following playbook
Read the state - Uptrend when z > Trend Threshold and trend strength > 0. Downtrend when z < -Trend Threshold and trend strength < 0. Neutral otherwise.
Entries - In an uptrend, prefer Bullish Entry signals that fire near the lower channel. In a downtrend, prefer Bearish Entry signals that fire near the upper channel.
Stops - Conservative: beyond the extreme channel on your side. Tighter: just outside the standard band that framed the signal.
Exits - For longs, exit or trim on a cross back through z = 0 or a clean tag of the upper threshold. For shorts, mirror with z = 0 up-cross or tag of the lower threshold. You can also reduce if trend strength flips against you.
Adds - In strong trends, additional signals near your side’s band can be add points. Avoid adding once z hovers near the opposite band for several bars.
How to use it: mean-reversion playbook
Find stretch - Standard reversions: Bullish Entry when z leaves the oversold zone upward; Bearish Entry when z leaves the overbought zone downward. Aggressive reversions: Extreme markers at extreme bands with a one-bar turn.
Entries - Take the signal as price exits the zone. Prefer setups where trend strength is near zero or tilting against the prior push.
Targets - First target is the mean line. A runner can aim for the opposite standard channel if momentum keeps flipping.
Stops - Outside the extreme band beyond your entry. If fading without extremes, place risk just beyond the opposite standard band.
Filters - Optional: skip counter-trend fades against a very strong trend state unless your risk is tight and predefined.
Reading the stats table
Current Z-Score - Magnitude and sign of displacement now.
Trend State - Uptrend, Downtrend, or Ranging.
Trend Strength - Smoothed z momentum. Higher absolute values imply stronger directional conviction.
Distance to Upper/Lower - Percent distance from price to each band, useful for sizing targets or judging room left.
Market State - Overbought, Oversold, Extreme OB, Extreme OS, or Normal.
Volatility Regime - High, Normal, or Low relative to recent distribution. Expect bands to widen in High and tighten in Low.
Parameter guidance (conceptual)
Z-Score Period - Choose longer for a structural mean, shorter for a reactive mean.
Smoothing Period - Lower for earlier but noisier reads; higher for slower but steadier reads.
Thresholds - Start around +/- 2.0. Tighten for scalping or quiet ranges. Widen for noisy or fast markets.
Trend Threshold and Strength Period - Raise to avoid weak, transient bias. Lower to capture earlier regime shifts.
Practical examples
Trend pullback long - State shows Uptrend. Price tests the lower channel; z dips near or below the lower threshold; a Bullish Entry prints. Stop just below extreme lower; first target mean; keep a runner if trend strength stays positive.
Mean-revert short - State is Ranging. z tags the extreme upper, an Extreme Bearish marker prints, then a Bearish Entry prints on the leave. Stop above extreme upper; target the mean; consider a runner toward the lower channel if strength turns negative.
Potential Questions you might have
Why z-score instead of fixed offsets - Because the bands adapt with volatility. When the tape gets quiet the rails tighten, when it runs hot the rails expand. Your entries stay normalized.
Do I need both modes - No. Many users run only trend pullbacks or only mean-reversions. The tool lets you toggle what you need and keep the chart readable.
Multi-timeframe workflow - A common approach is to set bias from a higher timeframe’s trend state and execute on a lower timeframe’s signals that align with it.
Summary
Z-Score Trend Channels gives you an adaptive mean, volatility-aware rails, a simple trend lens, and clear signals. Trade the trend by buying pullbacks in green and selling pullbacks in red, or fade stretched extremes back to the mean with defined risk. One framework, two strategies, consistent logic.
Análise de Tendência
EMA Regime (9/20/50/100/200) — Stacked with 200 FilterEMA Regime (9/20/50/100/200) — Stacked Long/Short Box
Plots the 9, 20, 50, 100, and 200 EMAs on the chart.
Checks if price is above or below each EMA and whether the EMAs are stacked in order.
LONG signal: price above all selected EMAs and EMAs stacked 9 > 20 > 50 > 100 >(> 200 if strict mode on).
SHORT signal: price below all selected EMAs and EMAs stacked 9 < 20 < 50 < 100 (< 200 if strict mode on).
Shows a two-row table (LONGS / SHORTS) so you can quickly see which EMAs are aligned.
Optionally colors candles green/red when a full long/short regime is active.
Can show labels when a new LONG or SHORT condition appears.
Has alerts you can use for automated notifications when the regime flips.
“Use 200 EMA in the stack” lets you choose ultra-strict mode (9>20>50>100>200) or lighter mode (9>20>50>100 but price & 9 above 200).
EMA Separation (LFZ Scalps) v6 — Early TriggerPlots the percentage distance between a fast and a slow EMA (default 9 & 21) to gauge trend strength and filter out choppy London Flow Zone breakouts.
• Gray – EMAs nearly flat (low momentum, avoid trades)
• Orange – early trend building
• Green/Red – strong directional momentum
Useful for day-traders: wait for the gap to widen beyond your chosen threshold (e.g., 0.25 %) before entering a breakout. Adjustable EMA lengths and alert when the separation exceeds your “strong trend” level.
MYM Edge Booster MYM Long Trading Assistant - ATR-Based Edge Booster
Clean, simple indicator that tells you when MYM long setups meet high-probability criteria. No complicated charts - just clear numbers and signals.
• ATR Targets & Stops (whole numbers)
• Quality Score (0-3 stars)
• Green Circle when conditions perfect
• Warnings for choppy/high volatility
• ES/NQ sector confirmation
Eliminates guesswork. Trade when the green circle appears.
Inversion Fair Value Gap Signals [AlgoAlpha]🟠 OVERVIEW
This script is a custom signal tool called Inversion Fair Value Gap Signals (IFVG) , designed to detect, track, and visualize fair value gaps (FVGs) and their inversions directly on price charts. It identifies bullish and bearish imbalances, monitors when these zones are mitigated or rejected, and extends them until resolution or expiration. What makes this script original is the inclusion of inversion logic—when a gap is filled, the area flips into an opposite "inversion fair value gap," creating potential reversal or continuation zones that give traders additional context beyond classic FVG analysis.
🟠 CONCEPTS
The script builds on the Smart Money Concepts (SMC) principle of fair value gaps, where inefficiencies form when price moves too quickly in one direction. Detection requires a three-bar sequence: a strong up or down move that leaves untraded price between bar highs and lows. To refine reliability, the script adds an ATR-based size filter and prevents overlap between zones. Once created, gaps are tracked in arrays until mitigation (price closing back into the gap), expiration, or transformation into an inversion zone. Inversions act as polarity flips, where bullish gaps become bearish resistance and bearish gaps become bullish support. Lower-timeframe volume data is also displayed inside zones to highlight whether buying or selling pressure dominated during gap creation.
🟠 FEATURES
Automatic detection of bullish and bearish FVGs with ATR-based thresholding.
Inversion logic: mitigated gaps flip into opposite-colored IFVG zones.
Volume text overlay inside each zone showing up vs down volume.
Visual markers (△/▽ for FVG, ▲/▼ for IFVG) when price exits a zone without mitigation.
🟠 USAGE
Apply the indicator to any chart and enable/disable bullish or bearish FVG detection depending on your focus. Use the colored gap zones as areas of interest: bullish gaps suggest possible continuation to the upside until mitigated, while bearish gaps suggest continuation down. When a gap flips into an inversion zone, treat it as potential support/resistance—bullish IFVGs below price may act as demand, while bearish IFVGs above price may act as supply. Watch the embedded up/down volume data to gauge the strength of participants during gap formation. Use the △/▽ and ▲/▼ markers to spot when price rejects gaps or inversions without filling them, which can indicate strong trending momentum. For practical use, combine alerts with your trade plan to track when new gaps form, when old ones are resolved, or when key zones flip into inversions, helping you align entries, targets, or reversals with institutional order flow logic.
Oversold & Overbought Signal with RSISimple RSI overbought/oversold signals. Signals overbought when RSI > 80 and oversold when RSI < 30.
ORB 15m + MAs (v4.1)Session ORB Live Pro — Pre-Market Boxes & MA Suite (v4.1)
What it is
A precision Opening Range Breakout (ORB) tool that anchors every session to one specific 15-minute candle—then projects that same high/low onto lower timeframes so your 1m/5m levels always match the source 15m bar. Perfect for scalpers who want session structure without drift.
What it draws
Asia, Pre-London, London, Pre-New York, New York session boxes.
On 15m: only the high/low of the first 15-minute bar of each window (optionally persists for extra bars).
On 5m: mirrors the same 15m range, visible up to 10 bars.
On 1m: mirrors the same 15m range, visible up to 15 bars.
Levels update live while the 15m candle is forming, then lock.
Fully editable windows (easy UX)
Change session times with TradingView’s native input.session fields using the familiar format HHMM-HHMM:1234567. You can tweak each window independently:
Asia
Pre-London
London
Pre-New York
New York
Multi-TF logic (no guesswork)
Designed to show only on 1m, 5m, 15m (by default).
15m = ground truth. Lower timeframes never “recalculate a different range”—they mirror the 15m bar for that session, exactly.
Alerts
Optional breakout alerts when price closes above/below the session range.
Clean visuals
Per-session color controls (box + lines). Boxes extend only for the configured number of bars per timeframe, keeping charts uncluttered.
Built-in MA suite
SMA 50 and RMA 200.
Three extra MAs (SMA/EMA/RMA/WMA/HMA) with selectable color, width, and style (line, stepline, circles).
Why traders like it
Consistency: Lower-TF ranges always match the 15m source bar.
Speed: You see structure immediately—no waiting for N bars.
Control: Edit session times directly; tune how long boxes stay on chart per TF.
Clarity: Minimal, purposeful plotting with alerts when it matters.
Quick start
Set your session times via the five input.session fields.
Choose how long boxes persist on 1m/5m/15m.
Enable alerts if you want instant breakout notifications.
(Optional) Configure the MA suite for trend/bias context.
Best for
Intraday traders and scalpers who rely on repeatable session behavior and demand exact cross-TF alignment of ORB levels.
AMHA + 4 EMAs + EMA50/200 Counter + Avg10CrossesDescription:
This script combines two types of Heikin-Ashi visualization with multiple Exponential Moving Averages (EMAs) and a counting function for EMA50/200 crossovers. The goal is to make trends more visible, measure recurring market cycles, and provide statistical context without generating trading signals.
Logic in Detail:
Adaptive Median Heikin-Ashi (AMHA):
Instead of the classic Heikin-Ashi calculation, this method uses the median of Open, High, Low, and Close. The result smooths out price movements, emphasizes trend direction, and reduces market noise.
Standard Heikin-Ashi Overlay:
Classic HA candles are also drawn in the background for comparison and transparency. Both HA types can be shifted below the chart’s price action using a customizable Offset (Ticks) parameter.
EMA Structure:
Five exponential moving averages (21, 50, 100, 200, 500) are included to highlight different trend horizons. EMA50 and EMA200 are emphasized, as their crossovers are widely monitored as potential trend signals. EMA21 and EMA100 serve as additional structure layers, while EMA500 represents the long-term trend.
EMA50/200 Counter:
The script counts how many bars have passed since the last EMA50/200 crossover. This makes it easy to see the age of the current trend phase. A colored label above the chart displays the current counter.
Average of the Last 10 Crossovers (Avg10Crosses):
The script stores the last 10 completed count phases and calculates their average length. This provides historical context and allows traders to compare the current cycle against typical past behavior.
Benefits for Analysis:
Clearer trend visualization through adaptive Heikin-Ashi calculation.
Multi-EMA setup for quick structural assessment.
Objective measurement of trend phase duration.
Statistical insight from the average cycle length of past EMA50/200 crosses.
Flexible visualization through adjustable offset positioning below the price chart.
Usage:
Add the indicator to your chart.
For a clean look, you may switch your chart type to “Line” or hide standard candlesticks.
Interpret visual signals:
White candles = bullish phases
Orange candles = bearish phases
EMAs = structural trend filters (e.g., EMA200 as a long-term boundary)
The counter label shows the current number of bars since the last cross, while Avg10 represents the historical mean.
Special Feature:
This script is not a trading system. It does not provide buy/sell recommendations. Instead, it serves as a visual and statistical tool for market structure analysis. The unique combination of Adaptive Median Heikin-Ashi, multi-EMA framework, and EMA50/200 crossover statistics makes it especially useful for trend-followers and swing traders who want to add cycle-length analysis to their toolkit.
Moon Phases Prediction🌙 Moon Phases (with Next Event Projection)
Introduction
This indicator plots Moon Phases (New Moon and Full Moon) directly on your chart.
In addition to showing historical phases, it also calculates and projects the upcoming next moon phase using precise astronomical formulas.
Features
Marks New Moons with circles above bars.
Marks Full Moons with circles below bars.
Dynamically adjusts background color based on waxing/waning phase.
Calculates and displays the next upcoming moon event as a label positioned in the future.
Works on all timeframes (except Monthly).
How It Works
Uses astronomical approximations (Julian Day → UNIX time conversion).
Detects the last occurred New Moon or Full Moon.
Projects the next moon event by adding half a synodic month (~14.77 days).
Displays the next event label at its exact future date on the chart.
Customization
Waxing Moon color (default: Blue)
Waning Moon color (default: White)
Use Cases
Astro-finance: lunar cycles and market psychology.
Trading strategies: aligning entries/exits with cyclical behavior.
Visualization: adding an extra dimension of timing to chart analysis.
Notes
- The future moon event is displayed as a circle label on the correct date.
- If you cannot see the label, increase your chart’s right margin (Chart Settings → Scales → Right Margin).
- Calculations are approximate but astronomically accurate enough for trading or visual use.
Conclusion
This indicator is a simple yet powerful tool for traders interested in the influence of lunar cycles.
By combining historical phases with a projected next event, you can always be aware of where the market stands in the moon cycle timeline.
Adaptive Jump Moving AverageAdaptive Jump Moving Average - Description
This indicator solves the classic moving average lag problem during significant price moves. Traditional MAs (like the 200-day) take forever to catch up after a major drop or rally because they average across all historical periods equally.
How it works:
Tracks price smoothly during normal market conditions
When price moves 20%+ away from the MA, it immediately "resets" to the current price level
Treats that new level as the baseline and continues smooth tracking from there
Advantages over normal MA:
No lag on major moves: A 40% crash doesn't get diluted over 200 days - the MA instantly adapts
Reduces false signals: You won't get late "death cross" signals months after a crash already happened
Better support/resistance: The MA stays relevant to current price action instead of reflecting outdated levels
Keeps the smoothness: During normal volatility, it behaves like a traditional MA without the noise of shorter periods
Oscillator Matrix [Alpha Extract]A comprehensive multi-oscillator system that combines volume-weighted money flow analysis with enhanced momentum detection, providing traders with a unified framework for identifying high-probability market opportunities across all timeframes. By integrating two powerful oscillators with advanced confluence analysis, this indicator delivers precise entry and exit signals while filtering out market noise through sophisticated threshold-based regime detection.
🔶 Volume-Weighted Money Flow Analysis
Utilizes an advanced money flow calculation that tracks volume-weighted price movements to identify institutional activity and smart money flow. This approach provides superior signal quality by emphasizing high-volume price movements while filtering out low-volume market noise.
// Volume-weighted flows
up_volume = price_up ? volume : 0
down_volume = price_down ? volume : 0
// Money Flow calculation
up_vol_sum = ta.sma(up_volume, mf_length)
down_vol_sum = ta.sma(down_volume, mf_length)
total_volume = up_vol_sum + down_vol_sum
money_flow_ratio = total_volume > 0 ? (up_vol_sum - down_vol_sum) / total_volume : 0
🔶 Enhanced Hyper Wave Oscillator
Features a sophisticated MACD-based momentum oscillator with advanced normalization techniques that adapt to different price ranges and market volatility. The system uses percentage-based calculations to ensure consistent performance across various instruments and timeframes.
// Enhanced MACD-based oscillator
fast_ma = ta.ema(src, hw_fast)
slow_ma = ta.ema(src, hw_slow)
macd_line = fast_ma - slow_ma
signal_line = ta.ema(macd_line, hw_signal)
// Proper normalization using percentage of price
price_base = ta.sma(close, 50)
macd_normalized = macd_line / price_base
hyper_wave = macd_range > 0 ? macd_normalized / macd_range : 0
🔶 Multi-Factor Confluence System
Implements an intelligent confluence scoring mechanism that combines signals from both oscillators to identify high-probability trading opportunities. The system assigns strength scores based on multiple confirmation factors, significantly reducing false signals.
🔶 Fixed Threshold Levels
Uses predefined threshold levels optimized for standard oscillator ranges to distinguish between normal market fluctuations and significant momentum shifts. The dual-threshold system provides clear visual cues for overbought/oversold conditions while maintaining consistent signal criteria across different market conditions.
🔶 Overflow Detection Technology
Advanced overflow indicators identify extreme market conditions that often precede major reversals or continuation patterns. These signals highlight moments when market momentum reaches critical levels, providing early warning for potential turning points.
🔶 Dual Oscillator Integration
The indicator simultaneously tracks volume-weighted money flow and momentum-based price action through two independent oscillators. This dual approach ensures comprehensive market analysis by capturing both institutional activity and technical momentum patterns.
// Multi-factor confluence scoring
confluence_bull = (mf_bullish ? 1 : 0) + (hw_bullish ? 1 : 0) +
(mf_overflow_bull ? 1 : 0) + (hw_overflow_bull ? 1 : 0)
confluence_bear = (mf_bearish ? 1 : 0) + (hw_bearish ? 1 : 0) +
(mf_overflow_bear ? 1 : 0) + (hw_overflow_bear ? 1 : 0)
confluence_strength = confluence_bull > confluence_bear ? confluence_bull / 4 : -confluence_bear / 4
🔶 Intelligent Signal Generation
The system generates two tiers of reversal signals: strong signals that require multiple confirmations across both oscillators, and weak signals that identify early momentum shifts. This hierarchical approach allows traders to adjust position sizing based on signal strength.
🔶 Visual Confluence Zones
Background coloring dynamically adjusts based on confluence strength, creating visual zones that immediately communicate market sentiment. The intensity of background shading corresponds to the strength of the confluent signals, making pattern recognition effortless.
🔶 Threshold Visualization
Color-coded threshold zones provide instant visual feedback about oscillator positions relative to key levels. The fill areas between thresholds create clear overbought and oversold regions with graduated color intensity.
🔶 Candle Color Integration
Optional candle coloring applies confluence-based color logic directly to price bars, creating a unified visual framework that helps traders correlate indicator signals with actual price movements for enhanced decision-making.
🔶 Overflow Alert System
Specialized circular markers highlight extreme overflow conditions on both oscillators, drawing attention to potential climax moves that often precede significant reversals or accelerated trend continuation.
🔶 Customizable Display Options
Comprehensive display controls allow traders to toggle individual components on or off, enabling focused analysis on specific aspects of the indicator. This modularity ensures the indicator adapts to different trading styles and analytical preferences.
1 Week
1 Day
15 Min
This indicator provides a complete analytical framework by combining volume analysis with momentum detection in a single, coherent system. By offering multiple confirmation layers and clear visual hierarchies, it empowers traders to identify high-probability opportunities while maintaining precise risk management across all market conditions and timeframes. The sophisticated confluence system ensures that signals are both timely and reliable, making it an essential tool for serious technical analysts.
NOK Basket (Equal-Weighted)Measures the Norwegian crown's relative value to a basket of other currencies: EUR, USD, GBP, SEK AND DKK.
OPEN = LOW + VWAP + Volume SurgeTradingView Pine Script that scans for OPEN = LOW, confirms VWAP support, and checks for volume surge — tailored for your intraday breakout strategy
Liquidity + FVG + OB Markings (Fixed v6)This indicator is built for price-action traders.
It automatically finds and plots three key structures on your chart:
Liquidity Levels – swing highs & lows that often get targeted by price.
Fair-Value Gaps (FVG) – inefficient price gaps between candles.
Order-Blocks (OB) – zones created by strong, high-volume impulsive candles.
It also provides alerts and a small information table so you can quickly gauge the current market context.
Nadaraya-Watson Multi-TF DashboardThis script is a Multi-Timeframe Flip State Dashboard based on Nadaraya-Watson: Rational Quadratic Kernel (Non-Repainting) indicator. It visualizes trend "flip" states across up to 8 custom timeframes using a consistent, non-repainting methodology. Built on 1-minute data, each timeframe row in the table updates only after its bar fully closes, ensuring accuracy and eliminating repainting issues.
Key features:
✅ Based on the Nadaraya-Watson Rational Quadratic Kernel, used to estimate trend direction
🧠 Each timeframe uses the same base 1-minute data for consistency across resolutions
🔄 Flip state detection is defined by slope reversals in the kernel regression
🧱 Fully supports non-repainting, close-confirmed states using lookahead=off
🧮 Configurable lookback window, kernel weighting, lag, and timeframes
🎨 Visual dashboard plots each TF’s state as a colored cell (green for bullish, red for bearish)
🛠️ Includes inline plots and debug traces to help visualize regression and flip logic
This dashboard is ideal for traders who want a compact visual overview of confirmed trend shifts across multiple timeframes, all using a mathematically grounded, TF-consistent model.
Continuation Index [DCAUT]█ Continuation Index
📊 OVERVIEW
Continuation Index (CI) is an advanced trend analysis indicator developed by John F. Ehlers. This indicator provides early warning signals for trend onset, continuation, and exhaustion, with values oscillating between -1 and +1 to offer clear trend state identification for traders.
Based on the article TASC 2025.09 "Trend Onset And Trend Exhaustion - The Continuation Index" by John F. Ehlers.
💡 CORE VALUE
Unlike traditional trend indicators, the Continuation Index provides:
- Advanced dual-filter architecture (Ultimate Smoother + Laguerre Filter)
- Inverse Fisher Transform for enhanced signal-to-noise ratio
- Adaptive gamma parameter allowing market-specific tuning
- Binary state output (+1/-1) eliminating interpretation ambiguity
🎯 CONCEPTS
Signal Interpretation
CI > 0.5 : Strong bullish trend continuation - consider holding/adding long positions
CI = +1 : Maximum bullish signal - strong uptrend in progress
CI < -0.5 : Strong bearish trend continuation - consider holding/adding short positions
CI = -1 : Maximum bearish signal - strong downtrend in progress
CI near 0 : Neutral zone - trend uncertain, wait for clear signals
Brief pullbacks from extreme states : Potential reentry opportunities in trend direction
Primary Applications
Trend Onset Detection : Early warning signals for trend initiation
Trend Exhaustion Signals : Identify potential trend reversals
Position Management : Clear binary states for entry/exit decisions
Market Timing : Adaptive filtering reduces false signals
📋 PARAMETER SETUP
Source : Data source for calculation (default: close)
Length : The calculation length for the filters (default: 40, min: 1)
Gamma : Controls the phase response of the Laguerre filter. Smaller values increase responsiveness (default: 0.8, range: 0.0-1.0)
Laguerre Order : The order of the Laguerre filter, which directly affects its lag (default: 8, range: 1-10)
📊 COLOR CODING
Green : CI > 0.5 - Bullish trend continuation
Red : CI < -0.5 - Bearish trend continuation
Gray : Neutral zone - Trend unclear
Long-short energy ratio /多空能量比值This indicator calculates the relative strength of bulls and bears by measuring the average candle body movement within a user-defined window (default: 50 bars).
Bull Energy = average percentage change of all bullish candles in the lookback period
Bear Energy = average percentage change of all bearish candles in the lookback period
Energy Ratio = Bull Energy ÷ Bear Energy
The ratio is plotted as a curve around the baseline of 1:
Ratio > 1 → Bull side shows stronger momentum
Ratio < 1 → Bear side shows stronger momentum
Ratio ≈ 1 → Balanced market conditions
This tool helps visualize short-term shifts in buying and selling pressure, offering a simple mean-reversion perspective or a confirmation of trend strength depending on the context.
Yasser Multiple Inside Bar Breakout SignalsDescription
Yasser Multiple Inside Bar Breakout Signals (Yasser_MIB) is a powerful TradingView indicator designed to detect high-probability breakout setups based on multiple inside bar (MIB) formations. Inside bar breakouts often precede strong market moves, making this tool ideal for traders who rely on price action, volatility compression, and breakout trading strategies.
🔑 Key Features:
✅ Automatic MIB Detection – Identifies and counts consecutive inside bars.
✅ Breakout Signals – Generates BUY/SELL signals upon valid breakout of the mother bar.
✅ Custom Risk:Reward Settings – Adjustable risk-to-reward ratio with built-in Stop Loss (SL) and Take Profit (TP) levels.
✅ ATR-based Stop Loss (Optional) – Dynamic volatility-based risk management.
✅ Trend Filter – Optional EMA filter to trade only in the trend direction.
✅ Visual Clarity – Mother bar levels, inside bar marks, entry/SL/TP lines, and breakout highlights.
✅ Alerts Ready – Receive instant alerts for MIB setups and breakouts.
This indicator is suitable for Forex, Stocks, Indices, Commodities, and Crypto markets across multiple timeframes. Whether you are a trend trader or a breakout trader, Yasser_MIB provides a structured approach to capture explosive market moves with disciplined risk management.
📂 Categories
Indicators
Technical Analysis
Price Action
Breakout Strategies
Risk Management
🏷 Tags
inside bar
multiple inside bar
MIB breakout
price action
mother bar
breakout strategy
trend filter
EMA filter
ATR stop loss
risk reward
forex trading
crypto trading
stocks
commodities
indices
Yasser indicators
Kalman Ema Crosses - [JTCAPITAL]Kalman EMA Crosses - is a modified way to use Kalman Filters applied on Exponential Moving Averages (EMA Crosses) for Trend-Following.
The Kalman filter is a recursive smoothing algorithm that reduces noise from raw price or indicator data, and in this script it is applied both directly to price and on top of EMA calculations. The goal is to create cleaner, more reliable crossover signals between two EMAs that are less prone to false triggers caused by volatility or market noise.
The indicator works by calculating in the following steps:
Source Selection
The script starts by selecting the price input (default is Close, but can be adjusted). This chosen source is the foundation for all further smoothing and EMA calculations.
Kalman Filtering on Price
Depending on user settings, the selected source is passed through one of two independent Kalman filters. The filter takes into account process noise (representing expected market randomness) and measurement noise (representing uncertainty in the price data). The Kalman filter outputs a smoothed version of price that minimizes noise and preserves underlying trend structure.
EMA Calculation
Two exponential moving averages (EMA 1 and EMA 2) are then computed on the Kalman-smoothed price. The lengths of these EMAs are fully customizable (default 15 and 25).
Kalman Filtering on EMA Values
Instead of directly using raw EMA curves, the script applies a second layer of Kalman filtering to the EMA values themselves. This step significantly reduces whipsaw behavior, creating smoother crossovers that emphasize real momentum shifts rather than temporary volatility spikes.
Trend Detection via EMA Crossovers
-A bullish trend is detected when EMA 1 (fast) crosses above EMA 2 (slow).
-A bearish trend is detected when EMA 1 crosses below EMA 2.
The detected trend state is stored and used to dynamically color the plots.
Visual Representation
Both EMAs are plotted on the chart. Their colors shift to blue during bullish phases and purple during bearish phases. The area between the two EMAs is filled with a shaded region to clearly highlight trending conditions.
Buy and Sell Conditions :
- Buy Condition : When the Kalman-smoothed EMA 1 crosses above the Kalman-smoothed EMA 2, a bullish crossover is confirmed.
- Sell Condition : When EMA 1 crosses below EMA 2, a bearish crossover is confirmed.
Users may enhance the robustness of these signals by adjusting process noise, measurement noise, or EMA lengths. Lower measurement noise values make the filter react faster (but potentially noisier), while higher values make it smoother (but slower).
Features and Parameters :
- Source : Selectable price input (Close, Open, High, Low, etc.).
- EMA 1 Length : Defines the fast EMA period.
- EMA 2 Length : Defines the slow EMA period.
- Process Noise : Controls how much randomness the Kalman filter assumes in price dynamics.
- Measurement Noise : Controls how much uncertainty is assumed in raw input data.
- Kalman Usage : Option to apply Kalman filtering either before EMA calculation (on price) or after (on EMA values).
Specifications :
Kalman Filter
The Kalman filter is an optimal recursive algorithm that estimates the state of a system from noisy measurements. In trading, it is used to smooth prices or indicator values. By balancing process noise (expected volatility) with measurement noise (data uncertainty), it generates a smoothed signal that reacts adaptively to market conditions.
Exponential Moving Average (EMA)
An EMA is a weighted moving average that emphasizes recent data more heavily than older data. This makes it more responsive than a simple moving average (SMA). EMAs are widely used to identify trends and momentum shifts.
EMA Crossovers
The crossing of a fast EMA above a slow EMA suggests bullish momentum, while the opposite suggests bearish momentum. This is a cornerstone technique in trend-following systems.
Dual Kalman Filtering
Applying Kalman both to raw price and to the EMAs themselves reduces whipsaws further. It creates crossover signals that are not only smoothed but also validated across two levels of noise reduction. This significantly enhances signal reliability compared to traditional EMA crossovers.
Process Noise
Represents the filter’s assumption about how much the underlying market can randomly change between steps. Higher values make the filter adapt faster to sudden changes, while lower values make it more stable.
Measurement Noise
Represents uncertainty in price data. A higher measurement noise value means the filter trusts the model more than the observed data, leading to smoother results. A lower value makes the filter more reactive to observed price fluctuations.
Trend Coloring & Fill
The use of dynamic colors and filled regions provides immediate visual recognition of trend states, helping traders act faster and with greater clarity.
Enjoy!
TEWMA Supertrend - [JTCAPITAL]TEWMA Supertrend - is a modified way to use Triple Exponential Weighted Moving Average (TEWMA) combined with ATR-based Supertrend logic for Trend-Following.
The idea behind this indicator is to merge the smoothness and responsiveness of TEWMA with the robustness of ATR-based Supertrend volatility filtering. This results in a tool that not only reacts quickly to price changes but also adapts to market volatility, providing reliable trend detection with reduced noise.
The indicator works by calculating in the following steps:
Source Selection
The user can select the price source (default is Close). This price series is the foundation of all calculations, and changing the source allows the indicator to adapt to different analytical perspectives, such as Open, High, Low, or HL2.
TEWMA Calculation
The script calculates a Weighted Moving Average (WMA) of the selected source, and then applies a Triple Exponential Moving Average (TEMA) smoothing on top of it. The result is what we call TEWMA. This hybrid method achieves two goals simultaneously:
-WMA adds sensitivity by giving more weight to recent data.
-TEMA reduces lag by combining multiple EMA calculations while keeping smoothness.
ATR Volatility Measurement
In parallel, the Average True Range (ATR) is calculated over the user-defined Supertrend length . ATR measures volatility and dynamically scales the upper and lower bands to adjust to different market conditions.
Upper and Lower Band Construction
The indicator builds two envelopes around the TEWMA:
- Upper Band = TEWMA + (Multiplier × ATR)
- Lower Band = TEWMA – (Multiplier × ATR)
These bands expand and contract depending on volatility, creating a dynamic channel.
Band Adjustment Logic
To prevent false flips, the current upper/lower band values are compared to their previous values. If price has not broken above or below the prior band, the bands “stick” to their previous values, thereby filtering noise and avoiding unnecessary trend changes.
Trend Detection
-If price closes above the adjusted upper band, the direction is bullish.
-If price closes below the adjusted lower band, the direction is bearish.
-Otherwise, the trend direction continues from its prior state.
The Trend line is then set to either the upper band (bearish) or lower band (bullish).
Visual Representation
-The TEWMA line itself is plotted and color-coded (blue for bullish, purple for bearish).
-The active Supertrend line is plotted depending on trend direction.
-Shaded regions are added around the lines for enhanced clarity, visually separating bullish and bearish phases.
Buy and Sell Conditions :
- Buy Signal : Triggered when price closes above the Supertrend line, confirming a bullish shift.
- Sell Signal : Triggered when price closes below the Supertrend line, confirming a bearish shift.
Features and Parameters :
- TEWMA Source – Select the input price (Close, Open, High, Low, etc.).
- TEWMA Length – Defines the lookback for the Weighted MA and subsequent TEMA smoothing.
- Supertrend Length – Defines the ATR period used for volatility measurement.
- Multiplier – Determines how far the Supertrend bands are placed from the TEWMA. Higher values mean wider bands and fewer trend flips, while lower values mean tighter bands and more frequent signals.
Specifications :
Weighted Moving Average (WMA)
The WMA gives more importance to recent price points while still considering past values. This makes it more responsive to recent moves than a Simple Moving Average (SMA).
Triple Exponential Moving Average (TEMA)
TEMA reduces lag by combining multiple layers of EMA calculations. Unlike a simple EMA, which can be slow to react, TEMA anticipates changes faster, while still maintaining smoothness to avoid false signals.
TEWMA (TEMA of WMA)
By applying TEMA on top of WMA, we create a hybrid smoothing technique. This retains the responsiveness of WMA but reduces its lag via TEMA’s structure. The result is a highly adaptive moving average, ideal for fast trend detection.
Average True Range (ATR)
ATR measures the degree of volatility by looking at the full trading range of each candle. It ensures that the Supertrend bands expand in volatile markets and contract in calm markets, keeping signals relevant to current conditions.
Supertrend Bands
The upper and lower envelopes built around TEWMA act as dynamic support and resistance. Their adaptive nature reduces false trend shifts during choppy sideways markets.
Band Adjustment Logic
Instead of recalculating bands every candle, the script uses a memory mechanism (previous values) to prevent unnecessary trend switches. This stabilizes the indicator and avoids excessive noise.
Trend Line
The final output is a line that follows price in trending phases while holding steady during consolidations. Its placement above or below price clearly signals bullish or bearish market structure.
Color Coding and Visuals
The use of shaded fills and line coloring enhances readability. Traders can quickly distinguish trend direction and momentum without deep numerical analysis.
Enjoy!
BB Crosses Optimized - [JTCAPITAL]BB Crosses Optimized - is a modified way to use Bollinger Bands combined with volatility filtering (ATR) and flexible smoothing methods for Trend-Following.
The indicator works by calculating in the following steps:
Source Selection & Smoothing
The script begins by letting the user select a preferred price source (default is Close, but options include Open, High, Low, HL2, etc.). This raw input is then passed through a smoothing process.
Multiple smoothing techniques can be chosen: SMA, EMA, HMA, DEMA, TEMA, RMA, and FRAMA. Each method reduces short-term noise differently, ensuring flexibility for traders who prefer faster or slower reaction speeds in trend detection.
Bollinger Band Construction
Once the smoothed source is prepared, Bollinger Bands are calculated. The middle band is a moving average of the smoothed data over the defined BB Period . The upper and lower bands are then generated by adding and subtracting the Standard Deviation × Deviation multiplier . These dynamic bands capture volatility and help define breakout zones.
ATR Volatility Measurement
Parallel to the band calculation, the Average True Range (ATR) is computed over the chosen ATR Period . This measures market volatility. The ATR can optionally act as a filter, refining buy and sell levels so signals adapt to current market conditions rather than being fixed to price alone.
Bollinger Band Signals
-If the smoothed price closes above the upper band, a potential bullish event is marked.
-If the smoothed price closes below the lower band, a potential bearish event is marked.
Trend Line Construction
When a bullish event occurs, the script anchors a trend-following line beneath price. If ATR filtering is enabled, the line is set at Low – ATR , otherwise at the simple Low. Conversely, when a bearish event occurs, the line is anchored above price at High + ATR (or just High without the filter). The line is designed to only move in the direction of the trend—if price action does not exceed the prior value, the previous level is held. This prevents unnecessary whipsaws and keeps the indicator aligned with dominant momentum.
Final Trend Detection
The slope of the trend line defines the trend itself:
-Rising line → bullish trend.
-Falling line → bearish trend.
Visual Output
The indicator plots the trend line with dynamic coloring: Blue for bullish phases, Purple for bearish phases. A subtle filled background area emphasizes the active trend zone for clearer chart interpretation.
Buy and Sell Conditions:
- Buy Signal : Triggered when smoothed price closes above the upper Bollinger Band. Trend line then anchors below price (with or without ATR offset depending on settings).
- Sell Signal : Triggered when smoothed price closes below the lower Bollinger Band. Trend line then anchors above price (with or without ATR offset).
Additional filtering is possible via:
- ATR Toggle : Switch ATR on or off to adapt the strategy to either volatile or steady markets.
- Smoothing Method : Adjust smoothing to speed up or slow down responsiveness.
- Deviation Multiplier : Tight or wide bands adjust the sensitivity of signals.
Features and Parameters:
- Source : Choose between Close, Open, High, Low, HL2, etc.
- Average Type : Options include SMA, EMA, HMA, DEMA, TEMA, RMA, FRAMA.
- ATR Period : Defines how ATR volatility is measured.
- BB Period : Lookback length for Bollinger Band construction.
- Deviation : Multiplier for the standard deviation in Bollinger Bands.
- Smoothing Period : Controls how much the source data is smoothed.
- ATR Filter On/Off : Enables or disables ATR integration in signal calculation.
Specifications:
Smoothing (MA Types)
Smoothing is essential to reduce chart noise. By offering multiple MA choices, traders can balance between lag (SMA, RMA) and responsiveness (EMA, HMA, FRAMA). This flexibility allows the indicator to adapt across asset classes and trading styles.
Bollinger Bands
Bollinger Bands measure price deviation around a moving average. They help identify volatility expansion and contraction. In this script, the bands serve as breakout triggers—price crossing outside suggests momentum strong enough to sustain a trend.
Standard Deviation
Standard Deviation is a statistical measure that quantifies the dispersion of price data around the mean. With a multiplier applied, it creates bands that contain a probabilistic portion of price action. Crossing beyond these suggests a higher likelihood of trend continuation.
ATR (Average True Range)
ATR measures the degree of volatility. Instead of simply reacting to price crossing the bands, ATR ensures the trend line placement adapts to current conditions. In volatile markets, wider buffers prevent premature signals; in calmer markets, tighter placement keeps signals responsive.
Trend Line Logic
The trend line only adjusts in the direction of the trend. If new values do not exceed the prior, the line remains unchanged. This prevents false reversals and makes the line a reliable visual confirmation of trend direction.
Signal Detection
The indicator does not repaint: signals are based on confirmed closes relative to the Bollinger Bands. This makes it more reliable for both live trading and backtesting scenarios.
Visual Enhancements
The use of dual plots and fill shading creates a clearer separation of bullish vs. bearish phases. This helps traders visually align entries and exits without second-guessing.
Enjoy!
