Intermarket SSMT Table [Pogiest]General
Intermarket Sequential Smart Money Technique (IMSSMT) is a Quarterly Theory concept that identifies divergences (extreme highs/lows) when comparing different market triads to another market triad in two consecutive quarters.
SSMT involves identifying divergences in a correlated asset triad that occurs consecutively from the previous quarter to the current quarter to predict new phases of price, a shift in market sentiment, and also potential trend reversals. An SSMT divergence occurs when one or two assets makes a new high or low, but the other asset or assets does not, signaling a potential shift in market direction. A Hidden SSMT Divergence occurs when one or two assets’ closing price closes higher or lower than the other one or two assets’ closing price. However, with potential gaps in price, an opening price can also be the extreme when comparing assets for divergences. Hidden SSMT divergence compares the candle bodies while a Standard SSMT divergence compares the highs and lows. Both types of SSMTs are considered to be cracks in correlation and can be used to identify potential new phases of price whether it be a reversal, retracement, consolidation, and continuation.
Credit of concepts/ideas: ICT & TraderDaye
What Makes This Indicator Unique
The indicator table is designed to be used on any symbol the trader is viewing. For example, the indicator is shown on an NQ chart while selecting three symbols in the Forex triad in settings. The indicator will request the separate data from the symbols selected and display the data within the table. The table does not rely on data on the chart being viewed. Instead of switching charts, the table is used to track other market triads for SSMTs (standard & hidden) while viewing other markets simultaneously.
The indicator has the ability to display Standard SSMTs, Hidden SSMTs, or both simultaneously in real-time, tick by tick in the time period selected in a correlated asset triad within the table. Toggle modes for each type of SSMT will run independently (runs when enabled) and therefore, optimizes performance. The user is able to select three different tickers in settings instead of limiting to pairs. In addition, the indicator has “Invert” toggle options to track both Standard and Hidden SSMTs for assets with negative correlations.
How the Indicator Table Works
The indicator functions to track any divergences from the previous quarter to the current quarter. In addition, the indicator tracks the current status even when there are no divergences (see phase column below).
Timeframe Column:
1. Displays up to two different timeframes to monitor.
Asset Columns:
1. Display up to three different assets to monitor.
2. Cells display “Bull” in green background color or “Bear” in red background color showing the current state of each candle and updates in real-time tick by tick.
Phase Column:
Displays the current status from the previous quarter to the current quarter. The status updates in real-time tick by tick.
1. “F/S” indicates there are no current SSMT divergences between the previous quarter to the current quarter and all assets have not swept the previous quarter, a “failure swing”.
2. “HH” is displayed when all assets have swept the previous quarter’s extreme high. (Higher High)
3. “LL” is displayed when all assets have swept the previous quarter’s extreme low. (Lower Low) See screenshot with drawings below.
4. SSMT indicates there is an SSMT from the previous quarter to the current quarter. Red background is a bearish SSMT (divergence at the highs) or green background is a bullish SSMT (divergence at the lows). If the SSMT becomes invalid (i.e. the last asset sweeps the extreme high/low), then the table will update to display either “HH” or “LL” depending on the extreme it swept. See screenshot with drawings below.
5. “Both” indicates there are SSMT divergences at both the extremes highs and lows. If an SSMT on one side gets deleted, then the cell will automatically update to display the SSMT that is still intact. See screenshot with drawings below.
Invert Toggle Option:
When this setting is turned on, the asset column cells will display the inverted color of the live chart to show assets are in-sync. It will track the inverted swing points for SSMTs, higher highs, lower lows, etc. For example, if EUR and GBP are making lower highs, while DXY (Inverted toggle on), makes a lower low on the actual live chart, it will display “SSMT”.
NOTE:
Scanning function per timeframe to detect SSMTs:
Weekly HTF: Scans 4HR bars
Daily HTF: Scans 1HR bars
6HR/4HR HTF: Scans 15m bars
1HR HTF: Scans 5m bars
5m HTF: Scans 1m bars
The script has fixed lookback periods for bars to ensure the appropriate data is being captured. The higher the timeframe the user selects in settings while viewing on an extremely lower timeframe, the indicator may give inaccurate readings:
Recommended Chart Timeframes:
For best performance and accuracy, view your chart on a timeframe close to or lower than the scan timeframe:
Weekly HTF → View on 1H-4H chart
Daily HTF → View on 1H-4H chart
6HR/4HR HTF → View on 5m-15m chart
90M HTF → View on 3m-15m chart
1H HTF → View on 1m-15m chart
The indicator will attempt to scan further back if needed, but extremely low chart timeframes (e.g., 1m) with high HTF (e.g., Weekly) may still have limitations.
In addition, the indicator bases the SSMT off the previous quarter’s time range to the current quarter’s time range. If there are discrepancies in the time ranges (start to end of higher timeframe period selected), the SSMTs may display differently than what is viewed on the chart. For example, indices open at 18:00 est on a new trading day, so the time ranges matches throughout the day. However, in Forex, EUR and GBP opens at 17:00 est while DXY opens later, so the time ranges may be off (i.e. 6 hour timeframe). For best use, select time periods that matches throughout the day.
Usage
Traders can use both types of SSMT divergences to anticipate potential reversals in points of interest such as higher timeframe swing points, supply/demand zones, higher timeframe imbalances, key levels, etc. This indicator can also be beneficial in identifying cracks in correlation via Hidden SSMT when there are no divergences off the highs and lows. Divergences can come in different forms relating to Intermarket SSMT. For example, if one market triad is all making lower lows while the other market triad is making higher highs, this can be deemed a divergence between the two markets. Another example would be one market triad all makes lower lows while another market triad makes a bullish SSMT. This can potentially signal a bullish move up. SSMT divergences (standard and hidden) can be used as a confirmation tool with other confluences to identify trend direction with respect to points of interest, higher timeframe order-flow, lower timeframe order-flow, etc. In addition, having both a Standard SSMT and Hidden SSMT divergence display could potentially signal a reversal. It is up to the trader to gauge the price action at the time.
Settings
1. Choose up to three different assets to monitor.
Note: If only two are selected, the indicator will only display the two selected and compare the two assets for divergences. If one is selected, a warning sign will be displayed to select at least two assets.
2. Choose up to two different timeframes. Option to deselect timeframes.
3. Enable/disable standard or hidden SSMT.
4. Option to enable alerts. Alerts include the different phases in the table (i.e. SSMT, HH, LL, and Dual SSMT [both standard & hidden) for each timeframe.
5. Toggle option to show/hide the table. Toggle option to show/hide the “Title Row” which is the first row at the top of the table.
6. Adjust the table positioning to be displayed on the chart.
7. Option to change text size in the table cells. This will also increase/decrease the size of the table.
Risk Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice. All trading and investment decisions remain solely the responsibility of the user.
Trading involves a high degree of risk, and past performance is not indicative of future results.
Always conduct your own research and consult with a qualified financial professional before making any trading decisions.
By using this indicator, users acknowledge they understand these risks and accept full responsibility for their trading decisions and outcomes.
Multitimeframe
One-Sided Hodrick-Prescott FilterTechnical & Mathematical Architecture
This indicator represents a significant departure from standard Moving Averages or traditional Hodrick-Prescott (HP) filter implementations found on Trading View. It utilizes a State-Space Model approach to decompose time-series data into trend and cyclical components, solved recursively via a Kalman Filter (Forward Pass) and a Rauch-Tung-Striebel (RTS) Smoother (Backward Pass). Furthermore, it introduces a proprietary Maximum Likelihood Estimation (MLE) loop to adapt the smoothing parameter (λ) dynamically in response to market regimes.
1.1 The State-Space Formulation
The standard HP filter minimizes a specific loss function involving the sum of squared deviations and the sum of squared second differences. While typically solved via batch matrix inversion, this script reformulates the problem as a Local Linear Trend (LLT) model, a stochastic structural model defined by:
Measurement Equation:
y = μ + ε
(Where ε is normally distributed noise)
State Transition Equations:
μ = μ + β + η
β = β + ζ
Where μ represents the stochastic level (trend) and β represents the stochastic slope (drift). The crucial link to the HP filter is the signal-to-noise ratio. By setting the variance of η to 0 (smooth trend) and defining λ as the ratio of measurement variance to slope variance, the Kalman Filter solution converges exactly to the One-Sided HP Filter.
1.2 The Forward Pass: Kalman Filter
The script executes a recursive estimation loop for real-time (causal) filtering:
Prediction Step: Projects the state mean and error covariance forward based on the transition matrix.
Innovation: Calculates the measurement residual (v = y - predicted y).
Update Step: Computes the Kalman Gain. The posterior state is updated based on how much the prediction missed the actual price.
Stability: The covariance update utilizes the Joseph Form subtraction to ensure the covariance matrix remains positive semi-definite, preventing numerical instability inherent in high-precision floating-point calculations over long durations.
1.3 Adaptive λ via Maximum Likelihood
Standard filters use a static λ (e.g., 1600 for quarterly data), which fails in crypto/FX markets exhibiting changing volatility. This script implements an Adaptive ML Loop.
The Kalman Filter assumes innovations are normally distributed with a specific theoretical variance (S). We compute a running variance ratio test:
Ratio = Actual Innovation Variance / Theoretical Variance
Ratio > 1: The model is "surprised" by volatility. The filter is under-fitting. The script dynamically decreases λ to increase responsiveness (reduce lag).
Ratio < 1: The model is over-fitting noise. The script increases λ to enforce a smoother trend.
This allows the filter to function as a low-lag trend follower during impulses and a robust noise filter during consolidation, automatically.
1.4 The Backward Pass: Rauch-Tung-Striebel (RTS) Smoother
This is the most complex feature of the script. While the Forward Pass provides the optimal estimate based on past data, the Backward Pass computes the optimal estimate based on all data.
The RTS algorithm runs purely on historical arrays stored in memory:
It iterates backward from the last bar to the past. It computes a "Smoother Gain" matrix based on future information. It updates the past estimates to correct them based on what happened afterwards. This results in a Minimum Mean Squared Error (MMSE) estimator. Note: This smoothed line is for analytical hindsight and back testing theoretical limits; it is distinct from the real-time filtered line used for live signaling.
Usage Guide:
This indicator is designed for precision trend following and mean-reversion trading. It separates the market price into a Trend Component (Signal) and a Cycle Component (Noise/Oscillation).
The Two Trend Lines:
The Filtered Trend (Real-Time): This is the filled/shaded line on your chart. It calculates the trend using only past data. It does not repaint. Use this for entering and exiting live trades.
Green Fill: Price is above the trend (Bullish bias).
Red Fill: Price is below the trend (Bearish bias).
The Smoothed Trend (Hindsight): (Optional, enabled via settings). This is the "God mode" line. It uses future data to show you exactly where the trend was.
WARNING: This line repaints. Do not trade the tip of this line. Its purpose is to show you the ideal path for training your eye or optimizing parameters.
Mean Reversion Signals:
The script calculates the "Cycle," which is the percentage deviation of price from the HP Trend.
Bands: The Upper and Lower bands represent the Cycle Threshold.
Long Signal (L): Triggered when the Cycle is Oversold (below lower band) AND begins to turn up, while the Filtered Drift (slope) is positive. This suggests a "dip buy" in an uptrend.
Short Signal (S): Triggered when the Cycle is Overbought (above upper band) AND begins to turn down, while the Filtered Drift is negative. This suggests selling a rally in a downtrend.
Adaptive Lambda Panel:
Enable the "Lambda Panel" to see the engine under the hood.
Rising Lambda (Blue): The market is noisy or consolidating. The filter is becoming "stiffer" to ignore the chop.
Falling Lambda (Orange): The market is trending impulsively. The filter is becoming "looser" to track the price closely and reduce lag.
Strategy: You can use low Lambda values as a confirmation of high-volatility breakout regimes.
Performance Table:
A dashboard in the bottom right corner displays the efficiency of the Kalman Filter:
MSE Filtered vs. Smoothed: Shows the Mean Squared Error of the real-time prediction vs. the hindsight-optimal smooth.
Improvement %: A higher percentage indicates that the RTS Smoother is extracting significantly more noise than the real-time filter (common in choppy markets).
Kalman Gains (K1, K2): These display the current weight the filter assigns to new price data for updating the Level and Slope respectively.
Summary of Settings
Base Lambda: The starting stiffness. Higher = smoother (long-term trend). Lower = responsive (short-term trend).
Adaptation Speed: Recommended between 0.01 and 0.05. Controls how fast λ reacts to volatility shocks.
Smoother Lookback: How far back (in bars) the RTS algorithm re-optimizes the historical line.
Best Practice: Use the Filtered Trend for execution. Use the Smoothed Trend to analyze past price action and determine if your Base Lambda setting is appropriate for the asset's volatility profile.
Quantum Algo Matrix Quantum Algo Matrix
Multi-Layer Market Intelligence
🔹 Overview
Quantum Algo Matrix is a multi-dimensional market analysis system designed to identify high-probability reversal and continuation zones by combining momentum, volatility, trend structure, multi-timeframe correlation, and AI-based confirmation into a single, coherent framework.
Instead of relying on a single indicator, this script cross-validates signals across independent methodologies, significantly reducing noise and false positives.
It is best suited for active traders, swing traders, and systematic traders who value confirmation, structure, and context over single-trigger signals.
🧠 Core Components & How They Work Together
1️⃣ WaveTrend Engine (Market Structure & Extremes)
At the heart of the system lies a WaveTrend oscillator, which identifies overbought and oversold market conditions with multiple graded levels:
Level 1 (L1) → Primary extreme zones
Level 2 (L2) → Secondary confirmation zones
Level 0 (L0) → Extended exhaustion zones beyond normal extremes
Signals are only considered when WaveTrend momentum confirms a structural extreme, ensuring trades are taken where risk-reward is asymmetric, not mid-range.
Visual differentiation (lines, dots, and crosses) clearly communicates signal strength and hierarchy.
2️⃣ WVF – Volatility Reversal Detection
The WVF module tracks volatility expansion and contraction relative to historical extremes:
Identifies panic selling and emotional spikes
Uses percentile-based thresholds, not fixed values
Optional standard deviation & range filters reduce noise
WVF reversal signals are gated by WaveTrend zones, meaning volatility alone is never enough — price must also be in a statistically significant location.
This avoids the common pitfall of chasing volatility in trending or neutral conditions.
3️⃣ Squeeze Momentum (SQZ) – Pressure & Energy Release
The Squeeze Momentum module measures volatility compression vs expansion, highlighting when the market is:
Building pressure (compression)
Releasing energy (expansion)
Unlike traditional implementations, SQZ is scaled to the WaveTrend range, allowing it to visually integrate with the rest of the system.
The result is a clear momentum context that confirms whether a signal occurs:
Into expansion (higher probability)
Or during decay (lower probability)
4️⃣ Multi-Timeframe Correlation (MTF Filter)
One of the most powerful features of Quantum Algo Matrix is its Multi-Timeframe WaveTrend Correlation Filter.
When enabled, the script checks WaveTrend conditions across multiple higher timeframes (user-selectable):
45m
60m
120m
(optional lower / higher frames)
A signal is only validated when current timeframe conditions align with higher-timeframe momentum, ensuring:
Trades are with the broader market context
Lower-timeframe noise is filtered out
Counter-trend signals are reduced
This is especially effective in volatile or choppy markets.
5️⃣ AI SuperTrend Clustering (Advanced Confirmation Layer)
The AI module introduces a machine-learning-inspired clustering approach:
Multiple SuperTrend variations are generated
Their behavior is clustered using K-means logic
Bullish, bearish, and neutral consensus streams are extracted
Output is normalized and scaled to the WaveTrend environment
Rather than predicting price, the AI acts as a confidence validator:
Confirms strength
Filters weak setups
Prevents entries during indecision
This layer dramatically improves signal quality consistency, especially during transitions and regime changes.
🎯 Final Signal Logic (Why It’s Accurate)
A final LONG or SHORT signal is only produced when:
✔ WaveTrend confirms a valid extreme
✔ Volatility (WVF) shows a qualified reversal or memory condition
✔ Momentum (SQZ) supports expansion or pressure release
✔ Multi-Timeframe structure is aligned (optional)
✔ AI consensus confirms directional confidence (optional)
Because each component is independent, the probability of random alignment is low — this is what makes the system robust and statistically sound.
🧩 Customization & Flexibility
Every module can be enabled or disabled
Visuals are clean and user-controlled
Works on all markets (crypto, forex, indices, stocks)
Optimized for intraday to swing timeframes
No repainting logic in signal generation
⚠️ Important Notes
This script is a decision-support system, not a prediction tool.
It is designed to help traders identify high-quality opportunities, manage risk more effectively, and avoid emotional trading.
Always combine with:
Proper risk management
Market structure awareness
Personal trading rules
⭐ Summary
Quantum Algo Matrix is not a single indicator —
it is a complete market intelligence framework.
By blending structure, volatility, momentum, correlation, and AI-based confirmation, it delivers clearer signals, fewer false positives, and stronger contextual awareness across all timeframes.
UT Bot + SMC PRO (PROP) + VISUAL SIGNALS-DE ALEJANDRO PONCEHOW TO USE THEM TOGETHER (GOLDEN RULE)
Reading Sequence
UT → without B Bounce / pullback
B → without UT Weak break
UT → B (same direction) ✅ Valid setup
UT ↔ Opposite Bs Noise / range
Big Trades Whale Detector [Volume Anomalies] By HKOverview The "Big Trade Detector" helps you spot institutional footprints by identifying volume anomalies that act as outliers compared to recent history. It uses statistical analysis (Standard Deviation) to filter out noise and highlight only significant buying or selling pressure.
Features:
Volume Decomposition: Approximates buy/sell volume based on price action within the candle (Close vs. Range).
3-Tier Detection: Uses dynamic thresholds to categorize volume spikes into Small, Medium, and Extreme events.
Smart Calculation: Compares current volume against the previous average to detect sudden shifts in momentum.
Visuals:
Green Circles (Below Bar): Unusual Buying Pressure (Support defense or Breakout).
Red Circles (Above Bar): Unusual Selling Pressure (Resistance defense or Dump).
Size Matters: The larger the circle, the higher the standard deviation (Sigma) of that volume event.
Dynamic Multi-Timeframe SMAs (Brian Shannon Style)Overview : This indicator implements the logic of Brian Shannon's "Multi-Timeframe Analysis" on intraday charts. It automatically calculates the correct length for the 5-Day and 50-Day Simple Moving Averages (SMA), regardless of the timeframe (e.g., 5m, 15m, 1h) you are viewing.
How it works Standard SMAs only count bars. A "50 SMA" on a 5-minute chart only looks back ~4 hours. This script dynamically calculates how many bars represent full trading days.
Features:
Asset Class Selector : Choose between Crypto (24/7) and Stocks (6.5h US Session) to ensure correct minute-per-day calculations.
Info Table : Displays exactly how many bars are being used for the calculation in real-time.
QG-Intraday MomentumThe script is made to show the intraday momentum and trend continuation.
The script is based on Waddah Attar explosion indicator in 2 timeframes.
The current timeframe has an option to filter the signals using a higher timeframe. The HTF should be about 3 times the current timeframe.
For indices, it works best on 5 min chart with a 15 min filter.
The settings on the script are about the slow and fast EMA, Bollinger bands period and deviation for the Waddah Attar explosion indicator.
The indicator can be used as a scalping indicator or as a signal for scale-in and scale-out strategy.
SIDD EMA RSI Supertrend Signal Table🔥 SIDD EMA RSI SuperTrend Multi-Timeframe Signal Table
**SIDD EMA RSI SuperTrend Signal Table** is a **clean, powerful multi-timeframe trend confirmation dashboard** designed for traders who want **clarity, confluence, and speed** — all in one glance.
This indicator **does NOT repaint** and uses **industry-standard trend logic** combining **EMA structure, RSI momentum, and SuperTrend direction** across **6 different timeframes**.
---
## 🧠 Core Logic Behind the Indicator
This script works on **three independent trend engines**, displayed together in a compact table:
### ✅ 1️⃣ EMA Trend (Structure Based)
* Uses **EMA 50 vs EMA 200**
* **Bullish** → EMA 50 above EMA 200
* **Bearish** → EMA 50 below EMA 200
* Captures **primary market structure**
### ✅ 2️⃣ RSI Trend (Momentum Based)
* RSI Length: **14**
* **Bullish** → RSI > **55**
* **Bearish** → RSI ≤ **55**
* Helps confirm **trend strength & momentum**
### ✅ 3️⃣ SuperTrend (Price Action Based)
* ATR Length: **10**
* Factor: **3.0**
* Clearly defines **trend direction & trailing bias**
* Excellent for **entry & exit alignment**
---
## ⏱️ Multi-Timeframe Coverage
The table analyzes trends across **6 configurable timeframes**:
* Intraday → **5m, 15m, 1H**
* Swing → **4H, Daily**
* Positional → **Weekly**
Each timeframe shows:
* 📈 EMA Trend
* 📊 RSI Trend
* 🔁 SuperTrend Direction
Color-coded for instant readability:
* 🟢 Bullish
* 🔴 Bearish
* ⚪ Neutral
---
## 🎯 How to Use This Indicator
✔ **Trend Trading**
Trade only when **EMA + RSI + SuperTrend align** across higher & lower timeframes.
✔ **Intraday Confirmation**
Use higher TF (1H / 4H) bias and take entries on lower TF.
✔ **Avoid Chop & False Signals**
If signals are mixed → market is likely **sideways or risky**.
✔ **Swing & Positional Trades**
Daily + Weekly alignment gives **high-probability setups**.
---
## ⚙️ Customization Options
* Adjustable **timeframes**
* Table **position** (Top/Bottom – Left/Right)
* Table **size** (Extra Small / Small / Normal)
* Custom **colors, borders & text**
* Optimized for **minimal chart clutter**
---
## ⚠️ Disclaimer
This indicator is a **trend confirmation & decision-support tool**.
Always combine with **price action, support/resistance, and proper risk management**.
H1 Bias Rhythmic Lite Public V1.0 by SRTH1 Bias Rhythmic Lite Public V1.0 by SRT
Version: 1.0 (Public Lite)
Author: SRT
Platform: TradingView / Pine Script v6
Overlay: Yes (works directly on price chart)
Purpose: Provide H1 directional bias with D1 alignment and basic rhythm signals. Perfect for traders looking for clean bias visualization without clutter.
💡 Key Features
H1 Bias (Primary Engine)
Uses EMA7, EMA40, SMA150, and SMA200 for H1 directional bias.
Clearly identifies bullish, bearish, and neutral conditions.
Stack-based logic ensures consistency and reliability.
D1 Bias Alignment
Pulls higher timeframe (daily) EMA40, SMA150, SMA200.
Confirms H1 bias alignment with daily trend.
Helps filter trades in the direction of the larger trend.
Flush Detection
H1 flushes: Price fully “flushed” beyond EMA7 for bullish/bearish setups.
D+H1 flush: Aligns H1 flush with D1 bias for stronger context.
Visual dots with configurable sizes and colors indicate flush levels.
Price Action Signals
Engulfing (EB) detection with ATR filtering and body % thresholds.
Long Tail Body (LTB) detection with optional body % filter for precise swing points.
Both EB and LTB signals show clear labels above/below the candle for instant recognition.
ATR-Based Dynamic Offsets
Uses ATR (configurable length) to scale labels and flush dot offsets dynamically.
Ensures signals are proportionate to volatility.
Daily Pivot & Session Lines
Daily pivot plotted automatically.
Option to show daily session high-low lines and day labels.
Easily configurable label sizes and colors.
Bias Summary Table
Top-right table shows:
D1 bias
H1 bias
LTB allowed (Yes/No)
Color-coded for easy reference: green = Bull, red = Bear, gray = Neutral.
Alerts
H1 flush and D+H1 flush alerts.
LTB active alerts when bias is aligned.
Perfect for keeping an eye on actionable swings.
⚙️ User Inputs
Moving Average Lengths: EMA7, EMA40, SMA150, SMA200
Show/Hide MAs: Toggle to declutter the chart
ATR Settings: Length and % threshold for EB/LTB sizing
Signal Toggles: Show/Hide EBull, EBear, LTB Bull, LTB Bear, Flush Dots
Daily Pivot & Label Settings: Toggle visibility, label size, line/text colors
✅ Advantages for Users
Lightweight and fast — minimal lag on H1 charts.
Clear visualization of market bias and swing points.
Free access to core H1 Bias Rhythmic methodology.
Serves as a learning tool for traders who want to upgrade later.
⚠️ Limitations
No automatic entries, stops, or take profits (manual trade execution required).
Lite version only offers simplified signals and bias visualization.
Advanced rhythm and multi-timeframe alerts are reserved for the Premium version.
📢 Short Promo for Premium
For traders who want full power, check out H1 Bias Rhythmic Premium V1.0 by SRT — complete multi-phase alerts, advanced LTB & EB filters, EMA/SMA flip confirmations, and professional-level rhythm signals. Upgrade to premium for the full H1 trading experience.
Opposite Candle Zone Identifier (v6) - Extended🔍 Opposite Candle Zone Identifier (Extended)
Opposite Candle Zone Identifier is a price-action based indicator designed to identify potential reversal or absorption zones by detecting candles that move against the surrounding trend.
The indicator highlights a central opposite candle (or group of candles) that is surrounded by candles moving in the opposite direction, both before and after the central candle.
This structure often represents areas where institutional activity, absorption, or supply/demand imbalance may occur.
📌 How the Indicator Works
The indicator analyzes price action using three configurable blocks:
1️⃣ Candles Before (Backward)
A user-defined number of candles before the central candle(s) must follow a consistent trend:
Bullish candles for a bearish zone
Bearish candles for a bullish zone
2️⃣ Central Candle(s)
The core of the pattern:
Default: 1 opposite candle
Can be increased (up to 5) to adapt the indicator to lower timeframes or noisier markets
This central block must move against the previous trend, signaling a potential shift or absorption area.
3️⃣ Candles After (Forward)
A user-defined number of candles after the central candle(s) must resume the original trend, confirming the pattern.
⚠️ The signal is confirmed only after the “after” candles are completed.
This avoids repainting and ensures structural confirmation.
📐 Zone Concept
The highlighted central candle (or candles) can be used to define a price zone:
The high and low of the central candle(s) represent a potential supply or demand zone
These zones can be used for:
Reversal areas
Reaction zones
Entry refinement
Stop placement
⚙️ Inputs & Customization
Number of candles before
Controls how many candles must follow the initial trend.
Number of candles after
Defines how many candles are required for confirmation.
Central candles count
Default is 1, but can be increased (e.g. 2) for:
Lower timeframes
More reliable structure
Reduced noise
ATR-based offset
Labels are positioned using a dynamic ATR offset to improve chart readability across different markets and timeframes.
📈 Bullish & Bearish Zones
🟢 Bullish Zone
Bearish candles before
Bullish central candle(s)
Bearish candles after
Indicates potential demand or accumulation zone
🔴 Bearish Zone
Bullish candles before
Bearish central candle(s)
Bullish candles after
Indicates potential supply or distribution zone
🧠 Best Use Cases
Works best on 15m and higher timeframes
Effective on:
Indices
Forex majors
Liquid cryptocurrencies
Can be combined with:
Trend filters (EMA, VWAP)
Support & resistance
Market structure analysis
⚠️ Notes
This indicator is confirmation-based, not predictive
Signals appear only after pattern completion
It does not repaint
Best used as a confluence tool, not as a standalone trading system
🎯 Summary
Opposite Candle Zone Identifier helps traders:
Detect opposite-direction candles within strong trends
Identify potential supply and demand zones
Adapt the pattern to different timeframes
Improve price-action based decision making
FMT_TRENDFOLLOWiNGThis indicator is developed based on the Average Directional Index (ADX) , which is used to measure the strength of a trend, regardless of price direction. It has been custom-modified and optimized specifically for the FCPO market, with the following usage structure:
• 30-Minute Timeframe (HTF)
Used to identify the major market movement.
When the ADX value is above 25, it indicates that the market is entering a strong trending phase.
• 5-Minute Timeframe (LTF)
Acts as a confirmation for trend change or continuation, indicated by color changes (Green/Red) and the appearance of a Reconnect Dot when momentum becomes active again.
• 1-Minute Timeframe
Used for Buy or Sell entries at the nearest trading zones, aligned with the trend direction and strength from higher timeframes.
This indicator is suitable for Day Trading and Momentum Trading strategies, especially for FCPO traders who focus on market structure and momentum confirmation.
⚠️ DISCLAIMER: This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or a trading recommendation. All signals are derived from technical calculations and may produce false signals depending on market conditions. Users are fully responsible for their trading decisions, including risk management and position sizing. Past performance does not guarantee future results, and users are encouraged to conduct paper trading or backtesting before using it in live trading.
JK Scalp - Nishith RajwarJK Scalp Nishith Rajwar
Multi-Stochastic Rotation & Momentum Scalping Framework
JK Scalp is a rule-based momentum and rotation oscillator designed for short-term scalping and intraday execution.
It focuses on how momentum rotates across multiple stochastic speeds, instead of relying on a single oscillator or lagging averages.
This is an execution aid, not a predictive indicator.
🧠 Concept & Originality
Unlike standard stochastic tools, JK Scalp uses four synchronized stochastic layers:
• Fast (9,3) → execution timing
• Medium (14,3) → structure confirmation
• Slow (44,3) → swing context
• Trend (60,10,10) → dominant momentum regime
The core idea is quad-rotation:
High-probability trades occur when all momentum layers rotate together after reaching an extreme.
This script combines:
• Momentum rotation
• Divergence logic
• Flag continuation logic
• Trend-state filtering
into a single cohesive framework, not a simple indicator mashup.
📊 How to Use (Step-by-Step)
1️⃣ Best Timeframes
• Scalping: 1m – 3m
• Intraday: 5m – 15m
• Avoid higher timeframes (not designed for swing holding)
Works best on:
• Index options
• Index futures
• Highly liquid stocks
• Crypto majors
2️⃣ Understanding the Signals
🔁 Quad Rotation (Core Signal)
A valid rotation requires:
• Fast, Medium, Slow, and Trend stochastic moving in the same direction
• Momentum exiting Overbought / Oversold zones
• Trend stochastic supporting the move
This filters out random oscillator noise.
3️⃣ Entry Conditions
🟢 LONG Setup
• Bullish quad rotation
• Either:
– Bullish divergence OR
– Bullish flag pullback
• Fast stochastic turning up
🔴 SHORT Setup
• Bearish quad rotation
• Either:
– Bearish divergence OR
– Bearish flag pullback
• Fast stochastic turning down
⚠️ Signals are confirmation-based, not anticipatory.
4️⃣ SUPER LONG / SUPER SHORT
These appear only when:
• Quad rotation
• Divergence confirmation
They represent high-confidence momentum inflection zones, not guaranteed reversals.
5️⃣ Stop-Loss Visualization
Optional SL zones are plotted using:
• Recent swing high / low
• ATR-based buffer (configurable)
This helps traders visualize risk, not automate exits.
🎨 Visual System (Why It Looks Different)
• Multi-layer glow effects → momentum strength
• Dynamic cloud → fast vs trend dominance
• Color-shifting fast line → acceleration vs decay
• Chart overlays → execution clarity without clutter
Everything is designed for speed and readability during live trading.
⭐ Unique Selling Points (USP)
✅ Multi-speed stochastic rotation (not single-line signals)
✅ Context-first, not signal spam
✅ Built-in divergence + continuation logic
✅ Non-repainting logic
✅ Designed for scalpers, not hindsight analysis
✅ Works across indices, options, crypto, and futures
⚠️ Important Notes
• Not a standalone trading system
• Best combined with:
– Market structure
– Key levels
– Session timing
• Avoid low-liquidity or news-spike candles
This indicator guides execution, it does not replace discretion.
👤 Who This Is For
• Scalpers & intraday traders
• Options traders needing precise timing
• Traders who understand momentum & structure
• Users who want fewer but higher-quality signals
🏁 Summary
JK Scalp helps you trade momentum rotation, not overbought/oversold myths.
Wait for alignment. Execute with discipline.
CRT+ Advance Engulfing | @stefandimovCRT+ Lite implements institutional-style Candle Range Theory logic to identify displacement-driven engulfing structures with precision.
The script focuses on wick-based liquidity grabs, strict body closes, and optional higher-timeframe confirmation to highlight structurally valid bullish and bearish reversals.
Includes a Daily-only multi-market scanner and a compact dashboard for fast top-down analysis.
Designed for traders who prioritize structure, execution precision, and HTF alignment.
Universe_Super MA [MTF & Multi-Type]**Overview**
"Universe_Super MA" is a comprehensive trend analysis tool designed to overcome indicator limits. Instead of adding 4 separate moving averages, this script allows you to monitor 4 distinct Moving Averages within a single indicator slot.
It features full **Multi-Timeframe (MTF)** capabilities, meaning you can view higher timeframe trends (e.g., Daily 200 SMA) while trading on lower timeframes (e.g., 15-minute chart).
**Default Configuration (Institutional Setup)**
The indicator comes pre-loaded with a powerful institutional trend setup:
1. **50 Period (Green):** Short-term trend and dynamic support.
2. **99 Period (Orange):** Medium-term trend filter.
3. **200 Period (Red):** The classic institutional dividing line between Bull and Bear markets.
4. **389 Period (Blue):** A long-term "Deep Trend" baseline used to identify major market cycles and heavy support/resistance levels.
**Key Features**
* **fully Customizable:** You can change the Length, Color, and Width of each line.
* **Multi-Timeframe (MTF):** Select any timeframe for any MA. (e.g., Keep MA1 on the "Chart" timeframe, but lock MA4 to the "Daily" timeframe).
* **6 MA Types:** Choose between SMA, EMA, WMA, HMA (Hull), RMA, and VWMA for each line independently.
* **Clean Interface:** Toggle any line On/Off via settings without removing the indicator.
**Usage & Interpretation**
* **Trend Identification:** The 200 (Red) and 389 (Blue) lines are designed to visualize the long-term market bias. In technical analysis, price action sustaining above these levels is generally considered a bullish context, while price below suggests a bearish context.
* **Crossover Monitoring:** The script facilitates the observation of interactions between short-term and long-term averages (e.g., the 50 crossing the 200), allowing users to easily spot common technical patterns like the "Golden Cross".
* **Dynamic Levels:** The 99 and 200-period lines act as dynamic levels that may align with technical support or resistance zones during market retracements.
**Settings**
* **Timeframe:** Leave empty to use the current chart's timeframe, or select a specific one (e.g., "1D" or "4H").
* **Type:** Select your preferred calculation method (SMA is default).
**Disclaimer**
This tool is for educational purposes and trend visualization only. Always manage your risk.
STAR MTF OB FVGstill working out some bugs for it to work on lower tf than 10. so for now >10m.
FVG and OB
Day of WeekDay of Week is an indicator that runs in a separate panel and colors the panel background according to the day of the week.
Main Features
Colors the background of the lower panel based on the day of the week
Includes all days, from Monday to Sunday
Customizable colors
Time Offset Correction
TradingView calculates the day of the week using the exchange’s timezone, which can cause visual inconsistencies on certain symbols.
To address this, the indicator includes a configurable time offset that allows the user to synchronize the calculated day with the day displayed on the chart.
By simply adjusting the Time Offset (hours) parameter, the background will align correctly with the visible chart calendar.
Smart Money Swing Strategy [All-in-One]# Pro Swing Trader 📈
A comprehensive swing trading indicator for TradingView that combines multiple confluence factors to identify high-probability trade setups with built-in risk management.
## 🎯 Overview
This indicator is designed for swing traders who want to catch momentum pullbacks with precision entries. It filters trades using multiple timeframe analysis, RSI zones, volume confirmation, and EMA trends to deliver only the highest-confidence setups.
### Key Features
✅ **Multi-Timeframe Confluence** - Confirms trades with higher timeframe analysis (Daily, 4H, etc.)
✅ **Smart Entry Signals** - Detects pullback-to-EMA reclaim patterns
✅ **Automatic Risk Management** - Calculates stops, targets, and R-multiples
✅ **Dynamic Stop Loss** - ATR trailing stop + break-even automation
✅ **Real-Time HUD Dashboard** - Live confluence scoring and trade metrics
✅ **Comprehensive Alerts** - Entry, TP1, TP2, and stop-loss notifications
✅ **Visual Trade Levels** - Clear on-chart stop-loss and take-profit lines
---
## 📊 How It Works
### Signal Logic
The indicator identifies two types of signals:
**Base Signals** (Small triangles):
- Price pulls back between Fast EMA and Slow EMA
- RSI is in the swing zone (40-60 by default)
- Price reclaims the Fast EMA with momentum
- Optional: Volume spike confirmation
**High-Confidence Signals** (Large triangles):
- All base signal criteria met
- Higher timeframe confirms the trend direction
- HTF RSI and slope alignment
- These are your primary trade signals
### Entry Conditions
#### Long Entry (🟢 HC L)
1. Fast EMA > Slow EMA (uptrend)
2. Previous candle closed between the EMAs (pullback)
3. Current candle crosses above and closes above Fast EMA (reclaim)
4. RSI between 40-60 (swing zone)
5. **HTF Confirmation**: Daily/4H price above EMA50, RSI > 50, positive slope
6. Optional: Volume > 1.5x 20-bar average
#### Short Entry (🔻 HC S)
1. Fast EMA < Slow EMA (downtrend)
2. Previous candle closed between the EMAs (pullback)
3. Current candle crosses below and closes below Fast EMA (reclaim)
4. RSI between 40-60 (swing zone)
5. **HTF Confirmation**: Daily/4H price below EMA50, RSI < 50, negative slope
6. Optional: Volume > 1.5x 20-bar average
---
## 🎛️ Settings & Parameters
### Trend Parameters
- **Fast EMA**: Default 20 - Quick trend detection
- **Slow EMA**: Default 50 - Major trend filter
- **Swing Lookback**: Default 10 - Bars to find swing high/low for stops
### RSI Settings
- **RSI Length**: Default 14
- **RSI Min**: Default 40 - Lower bound of swing zone
- **RSI Max**: Default 60 - Upper bound of swing zone
### Risk Management
- **Final TP Risk-Reward (R)**: Default 2.0 - Main profit target multiplier
- **TP1 R Multiple**: Default 1.0 - Partial profit target
- **Use Break-even Stop**: Move stop to entry after 1R profit
- **ATR Trailing Stop**: Dynamic stop based on ATR(14) x 2.0
### Filters
- **Require Volume Spike**: Optional volume confirmation filter
- **Use Higher TF Confirmation**: Enable multi-timeframe analysis
- **Higher TF**: Default "D" (Daily) - Can use 240 (4H), W (Weekly), etc.
---
## 📈 Dashboard (HUD)
The top-center dashboard shows real-time confluence status:
| Column | Meaning |
|--------|---------|
| **Trend** | Current trend direction (UP/DOWN/Flat) |
| **HTF** | Higher timeframe alignment (Bull/Bear/Flat) |
| **RSI Zone** | Is RSI in swing zone? (YES/NO) |
| **Volume** | Volume spike detected? (YES/NO) |
| **Signal** | Active signal type (HC LONG/HC SHORT/None) |
| **R Risk** | Current profit in R-multiples |
| **Stop** | Current stop-loss level |
| **TP1** | Partial take-profit status |
| **TP2** | Final take-profit status |
| **Conf %** | Overall confluence score (0-100%) |
### Confidence Score Breakdown
- **20%** - Trend present (up or down)
- **30%** - HTF confirmation aligned (or 15% if HTF off)
- **20%** - RSI in swing zone
- **10%** - Volume spike
- **20%** - High-confidence signal triggered
**Scoring**:
- 🟢 70%+ = High probability setup
- 🟡 40-69% = Moderate setup
- 🔴 <40% = Low probability
---
## 🔔 Alert Setup
The indicator includes 8 alert conditions:
### Entry Alerts
- **HC LONG ENTRY** - High-confidence long signal triggered
- **HC SHORT ENTRY** - High-confidence short signal triggered
### Profit Target Alerts
- **LONG TP1 Reached** - Hit partial profit (1R by default)
- **LONG Final TP Reached** - Hit final target (2R by default)
- **SHORT TP1 Reached** - Hit partial profit
- **SHORT Final TP Reached** - Hit final target
### Stop Loss Alerts
- **LONG Stop/BE/Trail Level Hit** - Long position stopped out
- **SHORT Stop/BE/Trail Level Hit** - Short position stopped out
### How to Set Up Alerts
1. Click "Add Alert" on TradingView
2. Choose this indicator from the dropdown
3. Select desired alert condition
4. Set alert to trigger "Once Per Bar Close"
5. Customize notification method (popup/email/webhook)
---
## 📋 Trading Workflow
### 1. Wait for High-Confidence Signal
Look for the large **HC L** or **HC S** triangle on chart close.
### 2. Verify Confluence
Check the HUD dashboard:
- Confidence score should be 70%+
- HTF status should show alignment
- RSI Zone should be "YES"
### 3. Entry
Enter the trade at market or on next candle open.
### 4. Set Stop Loss
Use the **initial stop** shown in the HUD (red line on chart):
- **Longs**: Below the swing low (10-bar lookback)
- **Shorts**: Above the swing high (10-bar lookback)
### 5. Set Take Profits
- **TP1**: 1R (50% position close) - Yellow line
- **TP2**: 2R (remaining 50% close) - Green line
### 6. Manage the Trade
- Monitor the **R Risk** column to track profit
- Stop moves to break-even automatically after 1R (if enabled)
- ATR trailing stop engages dynamically (red line adjusts)
- Exit if price hits dynamic stop level
---
## 🎨 Visual Guide
### On-Chart Elements
**Triangles**:
- Small lime/red triangles = Base signals (lower confidence)
- Large lime/red triangles = High-confidence signals (trade these!)
**Lines**:
- 🟢 Green line = Fast EMA (20)
- 🟠 Orange line = Slow EMA (50)
- 🔴 Red line = Dynamic stop-loss level
- 🟡 Yellow line = TP1 level
- 🟢 Green line = TP2 (final target)
**HUD Colors**:
- 🟢 Green = Bullish/Active/Good
- 🔴 Red = Bearish/Inactive/Warning
- 🟡 Yellow = Neutral/Caution
- 🔵 Blue = Informational
- ⚫ Gray = Disabled/Off
---
## 💡 Strategy Tips
### Best Practices
1. **Only trade High-Confidence signals** - Ignore base signals unless very experienced
2. **Respect the HTF** - Don't fight the higher timeframe trend
3. **Use proper position sizing** - Risk 1-2% of account per trade
4. **Partial profits work** - Take 50% off at TP1, let rest run to TP2
5. **Let winners run** - Trailing stop helps capture extended moves
6. **Be patient** - Quality over quantity; wait for 70%+ confluence
### Optimal Timeframes
- **Primary Chart**: 1H, 4H, Daily (swing trading)
- **HTF Setting**: One level higher than your chart
- If trading 1H → Set HTF to 4H or D
- If trading 4H → Set HTF to D or W
- If trading Daily → Set HTF to W
### Market Conditions
**Best Performance**:
- Trending markets with healthy pullbacks
- Clear support/resistance zones
- Moderate volatility
**Avoid Trading**:
- Extremely choppy/sideways markets
- Major news events (unless experienced)
- Low confidence scores (<40%)
---
## ⚙️ Advanced Customization
### Aggressive Setup (More Signals)
```
Fast EMA: 12
Slow EMA: 26
RSI Min: 35
RSI Max: 65
Use HTF Confirmation: OFF
Require Volume Spike: OFF
```
### Conservative Setup (Fewer, Higher Quality)
```
Fast EMA: 20
Slow EMA: 50
RSI Min: 45
RSI Max: 55
Use HTF Confirmation: ON
Require Volume Spike: ON
Final TP R: 3.0
```
### Scalping Adaptation (Not Recommended)
```
Fast EMA: 9
Slow EMA: 21
Swing Lookback: 5
TP1 R: 0.5
Final TP R: 1.0
```
---
## ⚠️ Risk Disclaimer
**IMPORTANT**: This indicator is for educational and informational purposes only.
- Past performance does not guarantee future results
- No indicator is 100% accurate
- Always use proper risk management
- Never risk more than you can afford to lose
- Consider using a demo account first
- Seek professional financial advice if needed
Trading involves substantial risk of loss and is not suitable for all investors.
---
## 🔧 Troubleshooting
### "No signals appearing"
- Check if HTF confirmation is enabled but market isn't aligned
- Verify RSI zone isn't too restrictive
- Ensure volume spike isn't filtering out all setups
- Try adjusting EMA lengths for your asset
### "Too many false signals"
- Enable HTF confirmation
- Tighten RSI zone (e.g., 45-55)
- Enable volume spike requirement
- Only trade 70%+ confidence setups
### "Stops too tight/wide"
- Adjust Swing Lookback length
- Modify ATR multiplier for trailing stop
- Consider the asset's volatility
### "Alerts not working"
- Ensure alert is set to "Once Per Bar Close"
- Check indicator is added to the chart
- Verify TradingView notification settings
---
## 📚 Version History
**v1.0 (Current)**
- Initial release
- Multi-timeframe confluence system
- Dynamic risk management
- Real-time HUD dashboard
- Comprehensive alert system
- ATR trailing stops
- Break-even automation
---
## 🤝 Support & Feedback
If you find this indicator helpful:
- ⭐ Star the script on TradingView
- 💬 Share your results and feedback
- 🐛 Report bugs or suggest improvements
- 📖 Share with other traders
---
## 📖 Additional Resources
### Recommended Reading
- "The New Trading for a Living" by Dr. Alexander Elder
- "Swing Trading Using Multiple Timeframes" - Educational articles
- Risk management and position sizing guides
### Learn More About
- Multiple timeframe analysis
- EMA crossover strategies
- RSI divergence and zones
- ATR-based stops
- R-multiple profit management
---
## 📝 License
This indicator is provided as-is for personal trading use.
**Usage Rights**:
- ✅ Use for personal trading
- ✅ Modify for personal use
- ❌ Resell or redistribute
- ❌ Claim as original work
---
## 🎓 Quick Start Checklist
- Add indicator to TradingView chart
- Set your preferred timeframe (1H/4H/Daily)
- Configure HTF setting (one level higher)
- Review default parameters
- Set up entry alerts (HC LONG/SHORT)
- Set up TP and SL alerts
- Test on historical data
- Paper trade first
- Start with small position sizes
- Track your results
---
**Happy Trading! 📊💰**
*Remember: Discipline, patience, and risk management are the keys to long-term success.*
Bravo Backtest - Multi Timeframe Fair Value GapsBravo Backtest – Multi Timeframe Fair Value Gaps
This indicator displays Fair Value Gaps (FVGs) across multiple timeframes, with a strong focus on clarity, structure, and non-repainting behavior.
To reduce noise and keep charts clean, only Fair Value Gaps from your current chart timeframe and higher are shown. Lower-timeframe imbalances are intentionally filtered out.
Key features:
- Multi-timeframe Fair Value Gap detection
- Wick-to-wick, three-candle FVG logic
- Non-repainting: all FVGs are confirmed on candle close
- Automatic removal of invalidated FVGs (close through the zone)
- Adjustable lookback period to limit historical zones
- Optional bullish / bearish filtering
- Optional borders that inherit the FVG color
- Clean, professional UI designed for real trading use
This tool is built to support higher-timeframe context, execution clarity, and disciplined charting, making it suitable for both discretionary traders and structured trading models.
Developed and verified by Bravo Backtest.
DisruptNEX Edge SystemDisruptNEX Edge System is an analytical overlay indicator designed to visualize market direction, trend maturity, exhaustion conditions, and impulse activity within a single, coherent framework.
The system is built as a structured analytical model rather than a collection of independent tools.
All visual elements are derived from a shared internal reference, ensuring consistency between trend context, exhaustion states, impulse activity, and higher-timeframe structure.
1. Market Regime & Trend Visualization
Illustration 1: Market regime visualization through candle coloring.
At the foundation of the system lies a price-centered baseline, computed as a windowed mid-range estimator with optional adaptive smoothing.
This baseline defines the current market regime:
Price above the baseline represents bullish directional pressure.
Price below the baseline represents bearish directional pressure.
The regime is expressed directly through candle coloring, allowing traders to visually identify the active trend without relying on additional overlays or separate panels.
This regime context acts as the primary reference for all subsequent components of the system.
2. Exhaustion Zones on the Price Chart
Illustration 2: Overbought / Oversold ribbons visualized directly on price.
DisruptNEX Edge System identifies potential exhaustion using a persistence-based evaluation of how consistently price holds above or below a volatility-adjusted reference.
Unlike oscillators displayed in a separate pane, exhaustion is visualized directly on the price chart using bounded ribbons.
Key characteristics of the exhaustion logic:
Overbought and Oversold states are detected as discrete state transitions.
Zones are marked at their initial appearance.
Visual persistence reflects state continuity rather than momentary fluctuations.
This approach helps traders assess when price reaches statistically stretched conditions relative to the active regime, often corresponding to areas where pullbacks or pauses may develop.
3. Candlestick Pattern Context
Illustration 3: Candlestick patterns displayed within the active trend context.
The system includes optional candlestick pattern detection displayed directly on the price chart as contextual information.
Patterns are evaluated relative to the active market regime and are commonly associated with short-term pauses, pullbacks, or localized price reactions within an existing trend.
Patterns are not interpreted as standalone reversal signals and do not provide trade instructions.
Their role is to complement trend context by highlighting moments where traders may choose to observe price behavior more closely.
4. Spark Impulses & Structural Reference Zones
Illustration 4: Spark impulses and dynamic structural reference zones.
Spark impulses highlight moments when directional pressure increases within the active market regime.
They are derived from a volatility-normalized measure of price displacement relative to the internal baseline and evaluated across multiple smoothing horizons.
This allows the system to identify shifts in directional activity rather than isolated price fluctuations.
Spark impulses commonly appear after consolidation, pullbacks, or localized hesitation and act as analytical confirmation that market activity is resuming in a given direction.
Alongside impulse visualization, the system derives dynamic structural reference levels based on recent price behavior and volatility.
These levels are updated only on the most recent bar and represent contextual support and resistance zones.
Structural reference levels are not predictive targets.
They serve as spatial guides, helping traders evaluate price positioning relative to recent structure and impulse activity.
5. Trend Power & Multi-Timeframe HUD
Illustration 5: Right-side HUD summarizing multiple timeframes.
The indicator includes a compact HUD panel that aggregates key structural information across multiple timeframes:
Overbought / Oversold state
Trend Power level
Trend direction
Trend Power quantifies how extended the current regime is by measuring price progression since the last confirmed regime change, normalized by volatility and mapped to a bounded scale.
This allows traders to distinguish between developing, established, and extended trends, while the multi-timeframe layout helps assess alignment between the current chart and higher-level market structure.
How to Read the Indicator
Start by observing candle coloring to identify the active market regime.
Use exhaustion ribbons to recognize areas where price may pause or pull back relative to the regime.
Treat candlestick patterns as contextual signals highlighting potential short-term reactions.
Look for Spark impulses as confirmation of renewed directional activity.
Use structural reference zones as orientation points when evaluating price location.
Consult the HUD to check trend direction, maturity, and exhaustion across higher timeframes.
Alerts & Usage Notes
Alerts are event-based and triggered only on confirmed state changes, including:
Regime transitions
Exhaustion state entries
Candlestick pattern detection
Spark impulse events
Important Notes
DisruptNEX Edge System is not an automated trading system.
It does not execute trades or provide trade instructions.
All outputs are analytical and visual in nature and are intended to support discretionary decision-making.
