AG Pro HTF Bias Dashboard [AGPro Series]AG Pro HTF Bias Dashboard
Overview / What it does
AG Pro HTF Bias Dashboard is a higher-timeframe context tool built for traders who want a fast, structured view of directional conditions across multiple larger timeframes without crowding the chart with extra signals, zones, or decision noise.
The script summarizes higher-timeframe bias in a compact dashboard and presents each selected row as Bull, Bear, or Neutral, together with a mode-specific status readout. The goal is not to predict the next candle or replace a full trade plan. The goal is to make larger-timeframe context easier to read at a glance.
This indicator is designed to answer a simple but important workflow question: "What is the broader directional environment across the higher timeframes I care about right now?" Instead of forcing the user to manually flip through multiple charts and compare structure or trend conditions one by one, the dashboard keeps that information visible in a single panel.
The script supports multiple bias engines so the same dashboard can be adapted to different styles of chart reading. Users can evaluate higher-timeframe context through EMA Stack alignment, confirmed Swing Structure, SuperTrend direction, or MACD Momentum agreement. This makes the tool flexible enough for trend-following traders, structure-based traders, and users who prefer momentum-style confirmation.
Unlike many overlays that try to combine entries, exits, alerts, pattern detection, and signal generation inside one study, this script stays focused on one task: higher-timeframe directional context. That single-purpose design is intentional. It keeps the output clean, readable, and easier to integrate into an existing process.
Unique Edge
The main strength of this script is not signal generation. Its edge is structured context compression.
Instead of plotting a large number of higher-timeframe elements directly on the chart, AG Pro HTF Bias Dashboard converts higher-timeframe conditions into a compact visual matrix. This makes it possible to assess multi-timeframe agreement quickly while keeping the chart itself relatively clean.
A second differentiator is the ability to switch the bias engine. The dashboard is not locked to one interpretation framework. Users can work with:
- EMA Stack, for ribbon-style alignment
- Swing Structure, for confirmed HH/HL and LH/LL progression
- SuperTrend, for ATR-based directional trend state
- MACD Momentum, for momentum agreement between line, signal, and histogram
Another important detail is the higher-timeframe validity filter. Rows that are not actually higher than the current chart timeframe are marked as Lower/EQ instead of being treated as valid higher-timeframe context. This helps keep the dashboard aligned with its intended purpose.
The script also includes confluence logic, so the user can see not only the state of each row, but also the dominant higher-timeframe bias and how many valid rows support that direction. In practice, this helps users distinguish between broad directional agreement and mixed conditions.
Methodology
The dashboard can display three to five higher-timeframe rows, depending on user settings. Each row evaluates one selected timeframe and classifies it into Bull, Bear, or Neutral.
Bias Mode options:
1) EMA Stack
This mode evaluates directional alignment using a three-EMA structure. A bullish state requires price and the EMA ribbon to be aligned in bullish order. A bearish state requires the opposite alignment. When the full sequence is not aligned, the row can remain neutral and display a partial status such as 2/3 or 1/3 rather than forcing a directional label.
2) Swing Structure
This mode uses confirmed pivot logic to read higher-timeframe structure. It looks for confirmed higher highs / higher lows or lower highs / lower lows, and then evaluates position relative to the active swing range. Because this logic depends on confirmed pivots, structure changes are naturally more selective and may appear later than faster trend models.
3) SuperTrend
This mode reads directional state using an ATR-based trend framework. It is intended for users who prefer a cleaner directional state model rather than ribbon alignment.
4) MACD Momentum
This mode classifies bias through agreement between the MACD line, signal line, and histogram. It is useful for traders who prefer momentum confirmation over structure or moving-average ordering.
The dashboard then calculates:
- the number of valid bullish rows
- the number of valid bearish rows
- the dominant higher-timeframe state
- the confluence count across valid rows
Optional chart context features are also included. Depending on settings, the script can color candles according to the active chart bias, plot the active EMA ribbon or SuperTrend on the chart, apply a subtle background tint when confluence is strong enough, and show a compact mini context tag on the chart.
States / Context Output
This indicator is a context dashboard, not an alert engine.
It does not generate buy or sell alerts, does not mark trade entries, and does not claim to identify optimal execution points. Its outputs are state-based and contextual:
- Bull
- Bear
- Neutral
- Confluence summary
- Mode-specific status text
The mini chart tag, when enabled, is only a compact summary of dominant higher-timeframe direction and current confluence. It should be read as context, not as a trade instruction.
Key Inputs
Higher Timeframes
Users can select three to five rows and define the exact higher timeframes to monitor.
Bias Mode
Choose between EMA Stack, Swing Structure, SuperTrend, and MACD Momentum.
Engine Parameters
The script exposes relevant inputs for each engine, including EMA lengths, Swing Strength, SuperTrend ATR settings, and MACD settings.
HUD Controls
The panel position and panel scale can be customized so the dashboard can fit different layouts and chart styles.
Style Controls
Users can adjust theme and directional colors for bullish, bearish, and neutral states.
Chart Context Controls
Optional features include candle coloring, active indicator plotting for EMA / SuperTrend, strong-confluence background tinting, mini context tag visibility, tag anchor, tag offset, and tag font size.
Limitations & Transparency
This script is not a prediction model. It summarizes directional context from user-selected higher-timeframe logic.
Higher-timeframe tools can update only when data from those larger intervals updates. Because of that, the dashboard should be understood as a context layer rather than a real-time trigger engine.
Swing Structure mode uses confirmed pivots. That means structure changes may appear later than faster directional methods, because confirmation requires completed pivot information.
Neutral states do not necessarily mean the market is untradeable. They simply indicate that the selected bias engine does not currently show clear directional alignment under the chosen rules.
The confluence count is a summary statistic, not a quality score. A larger number of aligned rows does not automatically mean a better trade. It only means more selected higher-timeframe rows currently point in the same direction.
Rows marked Lower/EQ are excluded from valid higher-timeframe confluence because they are not above the active chart timeframe.
This script is intended to support discretionary analysis and chart organization. It should be combined with the user’s own execution framework, risk model, and market understanding.
Risk Disclosure
This indicator is provided for analysis and educational use. It does not provide financial advice, investment advice, or guaranteed outcomes.
Market conditions can change quickly, and no single indicator or dashboard can remove uncertainty from trading or investing. Users should evaluate higher-timeframe context together with price action, liquidity, volatility, risk management, and their own decision process.
Past behavior, historical alignment, or current confluence does not guarantee future performance.
Indicator
AG Pro Auto Supply & Demand Zones [AGPro Series]AG Pro Auto Supply & Demand Zones
Overview / What it does
AG Pro Auto Supply & Demand Zones is an overlay that automatically detects supply and demand areas by combining compact base structures with directional displacement. The script is designed to help traders track where price left an area with enough urgency to justify keeping that zone on the chart for future reference, while also showing how that zone evolves over time.
Instead of plotting every possible reaction area, the script applies a structured lifecycle model. A newly created zone begins as Fresh, can transition to Tested after a qualifying retest, and can later become Expired when it no longer meets the active criteria selected by the user. This state-based approach makes the chart easier to interpret because zones are not treated as static drawings. They are continuously re-evaluated as price interacts with them.
The script also distinguishes between proximal and distal boundaries so users can see both the near edge and the full depth of each zone. A built-in active-zone limit helps keep the chart under control, and older zones gradually fade through time-based opacity reduction. This allows recent and decision-relevant areas to remain visually stronger while historical context becomes lighter.
A light higher-timeframe overlay is included for users who want broader context without turning the chart into a dense multi-timeframe map. The goal is not to overwhelm the screen with background structure, but to add a subtle layer of alignment when higher-timeframe supply or demand remains relevant to the current price area.
Unique Edge
The distinctive feature of this script is that it does not stop at zone creation. It manages the full visual and logical lifecycle of a zone. Fresh, Tested, and Expired states are tracked in an explicit way, which makes the output more practical than a simple box-drawing tool.
A second differentiator is the same-side merge logic. When a newly detected zone forms too close to an existing zone on the same side, the script can refresh or merge that area instead of stacking nearly identical layers on top of one another. This helps reduce redundancy and produces a cleaner, more readable structure map.
Another important edge is the visibility architecture. Users can choose between All, Balanced Focus, and Smart Focus modes. This allows the chart to stay informative without becoming overloaded. Nearest active zones can be emphasized, distant context can be softened, and labels can be kept minimal, balanced, or fully expanded depending on the preferred workflow.
Methodology
The script uses a base-plus-displacement framework.
1. Base detection
A candidate zone begins with a compact base cluster. The script evaluates the total base range relative to ATR and can also apply a clean-wick filter so that noisy or overly volatile bases are filtered out.
2. Displacement confirmation
After the base, the script looks for directional expansion. The displacement candle must satisfy body-size conditions relative to ATR and must close with sufficient directional conviction. This is intended to avoid weak breaks that do not clearly separate from the base.
3. Zone construction
For demand zones, the script builds the area using the base body high as the proximal reference and the base low as the distal boundary. For supply zones, it uses the base body low as the proximal reference and the base high as the distal boundary. This gives the user both the near decision line and the full zone range.
4. Lifecycle tracking
A zone is initially Fresh. Once price revisits it under the selected confirmation mode, it can become Tested. If retests exceed the permitted limit, or if the user enables distal close-break invalidation, the zone can transition to Expired.
5. Zone maintenance
The script can merge overlapping same-side zones, cap the total number of active zones, reduce opacity as zones age, and selectively hide distant context based on the selected visibility profile.
6. Light higher-timeframe context
When enabled, the script projects a restrained higher-timeframe supply and demand layer onto the current chart. This is intended as context, not as a replacement for the active zones detected on the chart timeframe.
Signals & Alerts
This script includes alert support for key state events:
- New Demand Zone
- New Supply Zone
- Fresh Demand Touched
- Fresh Supply Touched
- Demand Zone Expired
- Supply Zone Expired
These alerts are designed to follow the script's zone-state logic rather than subjective interpretation. Users can enable or disable zone-creation alerts, fresh-touch alerts, and expiration alerts independently.
Key Inputs
Detection
Base Bars controls how many candles are used to form the base.
Base Range ATR Factor defines how compact the base must remain relative to ATR.
Max Single Base Candle ATR Factor limits oversized candles inside the base.
Displacement Body ATR Factor controls the minimum strength required for displacement.
Displacement Close Location checks whether the displacement candle closes with directional commitment.
Use Clean Base Wick Filter helps reduce noisy base formations.
Zone Management
Merge Nearby Same-Side Zones helps avoid repeated stacking of almost identical zones.
Minimum Same-Side Separation ATR defines how close a new zone can be to an existing same-side zone before merge logic becomes relevant.
Minimum Zone Overlap Ratio requires stronger overlap before two nearby zones are treated as one structure.
Lifecycle
Max Active Zones limits how many active zones remain on the chart.
Max Tests Before Expire controls how many qualified retests a zone can absorb before it expires.
Test Confirmation offers Touch, Penetration, and Close Inside modes.
Min Test Penetration Ratio refines how deep price must move into a zone when Penetration mode is selected.
Expire On Distal Close Break can invalidate a zone when price closes beyond the distal boundary.
Visuals
Show Proximal Line and Show Distal Line let users control boundary visibility.
Zone Visibility allows All, Balanced Focus, or Smart Focus workflows.
Keep Nearest Active Zones Per Side helps preserve immediate context.
Highlight Nearest Zones strengthens the most decision-relevant zones.
Label Mode, Label Size, Label Right Offset Bars, and Label Spacing ATR control how zone labels are displayed.
Light MTF View
Enable Light MTF View activates higher-timeframe context.
MTF Timeframe selects the higher timeframe.
MTF Fill Transparency and MTF Context Bars help keep the overlay subtle.
Panel
The summary panel can be shown or hidden.
Panel Theme, Panel Location, and Panel Font Size allow adaptation to different chart layouts and visual preferences.
How to use it
Many users will treat this script as a context and reaction map rather than as a standalone entry model.
A common workflow is:
- identify the nearest active demand and supply zones,
- check whether the zone is Fresh or already Tested,
- observe whether current price is approaching the proximal boundary or already trading deeper inside the zone,
- use the light higher-timeframe layer for context,
- then combine the zone information with personal confirmation tools such as structure, momentum, candle behavior, or risk rules.
Fresh zones may be more interesting when they align with trend context or with a relevant higher-timeframe area. Tested zones can still matter, but their interpretation should usually be more selective because the zone has already been revisited.
Limitations & Transparency
This script detects supply and demand zones through a rules-based base and displacement model. It does not claim to identify every meaningful reaction area on a chart, and it does not attempt to label institutional intent, order flow, or smart-money behavior as a certainty.
The quality of a zone depends on the selected settings, the volatility profile of the market, and the timeframe being analyzed. A more permissive configuration will naturally surface more zones, while a stricter configuration will produce a cleaner but narrower map. No single setting profile is optimal for every instrument.
The higher-timeframe overlay is intentionally lightweight. It is designed to provide context, not to replace full top-down analysis. Likewise, a Fresh or Tested label should not be treated as a guarantee of reaction. It is simply the script's state classification based on the selected confirmation logic.
This tool is best understood as a structured charting aid. It helps organize zone detection, lifecycle tracking, and visual prioritization. It does not remove the need for trade selection, confirmation, execution discipline, or risk management.
Risk Disclosure
This indicator is for chart analysis and educational use only. It does not provide financial advice, investment recommendations, or guaranteed outcomes. Markets can move through supply and demand zones without reacting, can partially react and fail, or can produce false confirmations. Always test settings carefully, evaluate the script in the context of your own process, and use proper risk management before making trading decisions.
Indicator
Indicator
AG Pro Pivot Cluster Survival Map [AGPro Series]AG Pro Pivot Cluster Survival Map
Overview / What it does
AG Pro Pivot Cluster Survival Map is an overlay tool that evaluates the durability of nearby pivot clusters rather than focusing on a single pivot reaction. The script groups Daily, Weekly, and Monthly Classic Pivot levels when they compress into the same price neighborhood, then measures how well that cluster has held up under repeated interaction.
The goal is not to label every pivot touch as strong or weak. The goal is to show whether a pivot-derived zone has continued to absorb pressure, remain structurally relevant, or lose stability over time. This makes the script suitable for users who want to monitor confluence-based pivot structure instead of isolated one-bar reactions.
The visual model is intentionally compact. The script highlights the nearest upper cluster and the nearest lower cluster, assigns a survival score to each side, and displays a pressure readout for the dominant active zone. The result is a map of pivot-cluster durability, not a generic support/resistance overlay and not a simple reaction detector.
Unique Edge
The distinguishing feature of this script is its focus on pivot-cluster survival.
Many pivot tools concentrate on one level at a time. Many reaction tools classify the immediate response after a touch, reclaim, or rejection. This script approaches the problem differently. It asks whether multiple pivot levels from different higher timeframes are compressing into the same zone, and whether that zone is still surviving repeated market interaction.
That difference matters.
This script does not score a single bounce. It does not try to predict a reversal from one isolated pivot event. It evaluates whether a pivot cluster remains durable after tests, inside-zone pressure, breaches, and time spent without structural failure.
Within the AG Pro catalog, this script is materially different from AG Pro Pivot Points Reaction Map. Pivot Points Reaction Map is centered on reaction quality at pivot levels. Pivot Cluster Survival Map is centered on cluster durability, confluence density, and survival under pressure. In other words, one evaluates the response; the other evaluates the staying power of the pivot cluster itself.
It is also different from broader level-survival or support/resistance tools because the source engine here is explicitly pivot-derived. The script is built around Daily, Weekly, and Monthly Classic Pivot families, then transformed into a confluence-survival framework.
Methodology
The current version uses Classic Pivot calculations from higher timeframes.
1. Daily, Weekly, and Monthly pivot levels are collected.
2. Nearby pivot levels are grouped into clusters when they fall within the active cluster width.
3. The script selects the nearest upper cluster and the nearest lower cluster relative to current price.
4. Each selected cluster is evaluated with a survival model.
The survival model is based on factors such as:
- cluster density
- higher-timeframe participation
- repeated tests
- rejection behavior
- inside-zone pressure
- breach frequency
- time since structural failure
A higher survival score suggests that the cluster has remained more durable under recent interaction. A higher pressure reading suggests that the cluster is experiencing more structural stress.
The chart display is intentionally selective. Instead of plotting every pivot line independently, the script concentrates on the nearest relevant clusters and presents them as zones with a backbone line and state label. This is designed to keep the structure readable.
States / Signals
The script uses state-based interpretation rather than directional promises.
Typical state classifications include:
- Stable
- Strengthening
- Balanced
- Under Stress
- Fragile
- Failed
These states are derived from the relationship between survival and pressure. They are meant to describe the condition of the cluster, not to issue a guaranteed trading outcome.
The panel summarizes:
- nearest upper cluster
- nearest lower cluster
- dominant survival side
- cluster pressure
- pivot mix currently included in the model
The script can also generate alert conditions for:
- cluster strengthening
- cluster failure
- cluster reclaim behavior
These alerts are deterministic conditions derived from the script logic. They are informational and should be interpreted within a broader market workflow.
Key Inputs
Pivot Formula
This version is intentionally limited to Classic Pivots in order to keep the clustering and scoring model consistent.
Include Daily / Weekly / Monthly
These settings control which higher-timeframe pivot families are included in the cluster engine.
Cluster ATR Width
Controls how aggressively nearby pivot levels are merged into the same cluster using ATR-based spacing.
Cluster Percent Width
Adds a percentage-based width floor so clusters remain practical across different price scales.
Minimum Levels Per Cluster
Controls how many pivot levels are required before a true cluster is recognized.
Survival Lookback
Defines the observation window used for the durability calculations.
Visual Controls
The script includes settings for cluster visibility, labels, backbone lines, panel location, and font sizes.
Limitations & Transparency
This script is a structural reading tool. It is not a prediction engine.
A high survival score does not guarantee that price will reverse, hold, or trend from that area. A low survival score does not guarantee immediate failure. The values should be read as condition metrics for pivot-derived zones.
Because the script groups pivot levels into clusters, output can vary depending on volatility, symbol characteristics, and timeframe context. On some symbols, one side may show a stronger cluster than the other. On some charts, one side may temporarily rely on a weaker fallback anchor when cluster density is limited.
This script does not attempt to replace market structure analysis, higher-timeframe context, liquidity analysis, or risk management. It is intended to organize pivot confluence into a readable survival framework.
What this script is not:
- not a buy/sell signal engine
- not a guarantee of support or resistance
- not a standalone trade system
- not a future-price prediction model
Risk Disclosure
This script is for chart analysis and decision support only. It does not provide financial, investment, or trading advice. Markets can move unpredictably, and no indicator can eliminate risk.
Users should evaluate signals, states, and cluster conditions together with their own process, timeframe alignment, and risk controls before making any decision.
Indicator
Multi-Factor Regime Scoring & Alerts [HYPR-run]DESCRIPTION:
Composite regime scoring system that fuses eight independent market dimensions into a single normalized Regime Factor (-1 to +1). The sweet spot is the +/-0.2 zone: when the Regime Factor crosses through this zone (dim white circles on chart), the regime just shifted from one side to the other through neutral. That crossover, with the HMA-smoothed Regime Curve sloping in the same direction, is the highest-conviction entry the composite produces. The alerts are built around this: Regime Pivot fires at +/-0.25 with volatility band confirmation.
DISCOVERING EDGE
Pursuing a mechanical edge in entry/exit timing, confirmation and conviction sizing led us to developing an oscillating expression of most of the key criteria we use in building automated strategies. We discovered there is a sweet-spot for higher conviction trades in the +/-0.2 - .+/-0.3 zone. For example if a SFP presents, waiting for the REGIME Factor to enter the zone has a higher probability of trending than if taken earlier. In addition, for earlier reversion trades, XO/XU the outer most levels of +/-0.6 are excellent early entries when following a disciplined sizing methodology.
EIGHT SCORING DIMENSIONS
1. Macro Pivot (+/-10): ROC regime exhaustion into inflection
2. ROC Filter (+/-9): layered rate of change momentum states
3. ADXVMA (+/-9): adaptive trend direction with regime gradient
4. OBVIX (+/-5): on-balance volume, volatility, and trend composite
5. Convergence (+/-7): multi-timeframe alignment across 7 timeframes
6. Mean Reversion (+/-10): blow-off detection and spike revert signals
7. Levels (+/-8): positioning relative to 50d, 200d, 10w moving averages
8. Mechanical Hold (+/-5): price action hold signals with squeeze detection
Macro pivot and mean reversion (+/-10 each) are the heaviest. When both fire in the same direction, they swing the composite by nearly a third of its total range.
HOW TO USE
Add to chart, adjust ADXVMA and Turtle periods to match your setup. Read the Regime Factor, not the price. Above +0.6 = strong bullish; XO/XU these levels for early starter positions. Below -0.6 = strong bearish. The +/-0.2 zone is the sweet spot: crossovers here (dim white circles) mark high-probability entries or confirmation to other set-ups like an SFP. The Regime Curve shows the trend of the regime itself; when the curve slopes against the score, the regime is decelerating.
When the composite is ambiguous (between 0.2 and 0.6), the dashboard tells you why. Macro pivot green but ROC filter yellow = inflection detected, momentum hasn't confirmed. Convergence bright green but ADXVMA yellow = multi-TF aligned but local MA still flat.
CROSS-DIMENSIONAL READS
The power is reading 2-3 dashboard rows together:
- Macro pivot firing while ROC filter still green = earliest warning of trend exhaustion
- "Macro Lc confirmed" + convergence at +5 or higher = highest-conviction reversal entry
- ADXVMA "Early Bull" + convergence at +5 = trend birth signal
- Convergence at +7 = strongest trend confirmation AND trigger for mean reversion detection. Maximum agreement = maximum overextension risk
- "Blow-Off" + "Hodl S" = hold confirmed but reversion loading against you; tighten
- "Legit Squeeze" + "Chopperoni" + convergence +/-5 = compressed energy, directional break coming
- Regime Factor +0.7 but Curve flattening = regime decelerating; leading signal of rollover
ALERTS
Regime Pivot fires when the Regime Factor crosses +/-0.25 with volatility band confirmation; solid arrows on chart. Built around the sweet spot: fires at the regime shift, not after the move has run. Spike Revert fires on mean reversion after blow-off; counter-trend edge from extreme overextension. Toggle each independently. For notifications without webhooks: condition = this indicator, "Any alert() function call", select push/email/popup. For webhook execution: paste endpoint URL, set Open-ended, create.
REGIME FACTOR THRESHOLD ZONES
+0.6 to +1.0 strong bullish (solid green hline)
+0.2 to +0.6 moderate bullish (dotted line)
-0.2 to +0.2 sweet spot entries (dim white circles); XO/XU here
-0.6 to -0.2 moderate bearish (dotted line)
-1.0 to -0.6 strong bearish (solid red hline)
DASHBOARD (9 rows)
1. MACRO PIVOT - Green: Pivoting ↑, Lc ↗ (confirmed), L In Play ↗. Red: inverse. Black: neutral.
2. ROC FILTER - Bright Green: Momentum ↑. Green: Trending ↗ / Rolling Over ↓. Yellow: Continuation / Stage 1 / Reversion. Orange: Exhaustion. White: Sideways. Red/Bright Red: inverse.
3. ADXVMA - Green: D Trend ↗, Trending ↗, Early Bull. Yellow: Pivoting, Consolidation, Chopperoni. Red: inverse.
4. OBVIX - Green: positive. Red: negative. Black: flat.
5. CONVERGENCE - Bright Green: All Lined Up ↑ (7/7). Gradient green: +5 to +6. Dim: +3 to +4. Black: near 0. Red gradient: inverse.
6. MEAN REVERSION - Yellow: Blow-Off, High Potential, Possible. Green: Spike Revert ↑ / MR In Play ↗. Red: inverse.
7. LEVELS - Green: Bouncing key MAs, XO events. Red: Rejecting, XU events. MA combo: above/below 50d, 100d, 200d + 10w anchor.
8. MECHANICAL HOLD - Squeeze gradient: Legit Squeeze / Squeezing. Green: Hodl L. Red: Hodl S. Black: Get Ready / Neutral.
9. REGIME FACTOR - Composite score with gradient color and numeric display.
CREDITS
ADXVMA: Linnsoft
ADX: J. Welles Wilder (1978)
VIDYA: Tushar S. Chande, TASC March 1992
Advance/Decline gradient: LucF
Turtle breakout concept: Richard Donchian Indicator
Meridian Zones [JOAT]Meridian Zones
Introduction
Meridian Zones is an advanced open-source session analysis engine built for traders who structure their trading around the Asia, London, and New York sessions. Unlike typical session indicators that clutter the chart with dozens of lines and levels, Meridian Zones takes a deliberately clean approach: session boxes, killzone backgrounds, session-colored candles, and precise liquidity sweep labels live on the chart, while all analytical depth lives in a fully-populated 15-row dashboard. The result is a chart that remains readable at any zoom level while giving you institutional-grade session intelligence at a glance.
The indicator tracks session ranges, calculates session VWAP, monitors volume distribution across sessions, detects liquidity sweeps with wick filtering and cooldown logic, flags volume spikes, grades institutional candles, and reports previous day high/low positioning — all without drawing a single horizontal line on the chart.
Why This Indicator Exists
Session-based trading is a cornerstone of institutional methodology. The Asia session establishes a range, London often breaks that range with directional intent, and New York either continues or reverses the London move. Understanding which session is dominant, where sweeps occur, and how volume distributes across sessions gives traders a significant edge.
Most session indicators fall into two traps: either they are too simple (just drawing boxes) or too cluttered (drawing session highs, lows, midpoints, opens, VWAP lines, and previous session levels all on the chart simultaneously). Meridian Zones avoids both by:
Drawing only the essential visual elements on the chart — session range boxes, killzone background shading, and labeled signals
Moving all analytical data into a comprehensive dashboard where it can be read without visual noise
Adding features that most session indicators lack entirely: session VWAP calculation, volume-weighted session dominance, institutional candle detection within sessions, and precise liquidity sweep identification with ATR-based wick filtering
Core Session Engine
Sessions are defined by UTC hour ranges (all configurable):
Asia: 00:00 - 08:00 UTC (default)
London: 08:00 - 16:00 UTC (default)
New York: 13:00 - 21:00 UTC (default)
The indicator detects session opens and closes, tracks high/low/volume/VWAP within each session, and draws range boxes when sessions close. A timeframe filter ensures the indicator only displays on charts where session analysis is meaningful (up to 4H by default).
Session overlap (London + NY) is automatically detected and reported in the dashboard, as overlap periods often produce the highest-volume, most directional moves of the day.
Session Tracking and Analytics
For each session, the indicator calculates and tracks:
Session Range: High and low of the session, displayed as a colored box
Session VWAP: Volume-weighted average price calculated from session open, updated every bar. This is the true institutional fair value for the session — not a simple midpoint
Session Momentum: The ratio of bullish candles to total candles within the session, giving a quick read on directional bias
Session Volume: Total volume accumulated during the session, used for dominance and volume leader calculations
Session Open/Close Prices: Used to determine session bias (bullish if close > open, bearish if close < open)
Liquidity Sweep Detection
One of the most valuable features is the precise liquidity sweep detector. A sweep occurs when price wicks beyond a session high or low and closes back inside — this is institutional stop hunting.
The sweep detector uses two filters to avoid false signals:
ATR Wick Filter: The wick beyond the session level must exceed a configurable ATR multiple (default 0.4x ATR). This eliminates tiny wicks that barely touch the level.
Cooldown Timer: After a sweep is detected, no new sweep can fire for a configurable number of bars (default 8). This prevents multiple labels from stacking on the same sweep event.
Sweep labels are color-coded: bullish sweeps (wicking below and closing above) in teal, bearish sweeps (wicking above and closing below) in rose.
Volume Spike Detection
When volume exceeds the session's average volume by a configurable multiplier (default 2.0x), a volume spike flag appears. Volume spikes during sessions often coincide with institutional order execution and can confirm the validity of a sweep or directional move.
Institutional Candle Labels
Candles with a body-to-range ratio exceeding the threshold (default 75%) are flagged as institutional candles. These are large-bodied, low-wick candles that indicate strong directional conviction — the kind of candles that institutions create when executing large orders.
Session-Colored Candles
When enabled, candles are tinted by the active session: gold for Asia, blue for London, rose for New York. This provides an instant visual reference for which session produced each candle, making it easy to see session transitions and overlap periods on the chart.
15-Row Dashboard
The dashboard is the analytical heart of the indicator. Every cell is populated — no empty rows. It displays:
Row 1: Active Session — Which session is currently active, or "OFF" between sessions
Row 2: Overlap Status — Whether London and NY are overlapping
Row 3-5: Session Ranges — Asia, London, and NY ranges in price with pip/point size
Row 6-8: Session Bias — Bullish/Bearish for each session based on open vs close
Row 9: Dominance — Which session has the largest range (the "dominant" session)
Row 10: Volume Leader — Which session has the highest total volume
Row 11: VWAP Position — Whether current price is above or below the active session's VWAP
Row 12: Range/ATR — Current session range as a multiple of ATR (shows how extended the session is)
Row 13: PDH/PDL — Previous Day High and Low with current price position relative to them
Row 14: Candle Quality — Current candle's body ratio and institutional grade
Row 15: Sweep Radar — Most recent sweep direction and how many bars ago it occurred
Input Parameters
Session Definitions (UTC):
Asia Start/End Hour (default 0/8)
London Start/End Hour (default 8/16)
NY Start/End Hour (default 13/21)
Features:
Show Session Boxes, Killzone Background, Session-Colored Candles, Session Open Markers
Show Liquidity Sweeps, Volume Spike Markers, Institutional Candle Labels, Dashboard
Sessions to Keep (default 3) — how many past session boxes remain on chart
Sweep Min Wick ATR multiplier (default 0.4), Sweep Cooldown bars (default 8)
Volume Spike Multiplier (default 2.0), Institutional Candle Body % (default 75%)
Timeframe Filter:
Show Up To (default 4H) — prevents the indicator from displaying on higher timeframes where session analysis is not meaningful
How to Use This Indicator
Step 1: Identify the Dominant Session
Check the dashboard for which session has the largest range and highest volume. The dominant session sets the directional tone for the day.
Step 2: Watch for Asia Range Breaks
London often breaks the Asia range. When London's first move sweeps the Asia high or low, the sweep label confirms the liquidity grab. The direction of the break often sets the trend for the day.
Step 3: Monitor Overlap Period
The London-NY overlap (typically 13:00-16:00 UTC) produces the highest volume and most decisive moves. Volume spikes during overlap are particularly significant.
Step 4: Use VWAP Position for Bias
If price is above the session VWAP, institutional flow is net bullish for that session. Below VWAP, net bearish. The dashboard shows this in real-time.
Step 5: Confirm with Institutional Candles
When a sweep occurs and is followed by an institutional candle (large body, high volume), the move has strong institutional backing.
Step 6: Reference PDH/PDL
Previous Day High and Low are key institutional levels. The dashboard shows whether price is above PDH (bullish), below PDL (bearish), or between them (range-bound).
Limitations
Session analysis is most relevant on intraday timeframes (1m to 4H). The timeframe filter prevents display on higher timeframes, but users should understand that session dynamics are inherently intraday concepts.
UTC-based session times may need adjustment for instruments that trade in different time zones or have non-standard trading hours.
Volume data quality varies by instrument. Forex volume on PulseWire is tick volume, which approximates but does not equal true institutional volume.
Session VWAP resets at each session open. It is not a continuous daily VWAP.
Sweep detection relies on wick analysis, which can produce false signals in extremely volatile or illiquid conditions.
The indicator shows session dynamics, not price predictions. A bullish session bias does not guarantee price will continue higher.
Originality Statement
This indicator is original in its clean-chart, dashboard-heavy approach to session analysis. While session boxes and killzone backgrounds exist in other indicators, this indicator is justified because:
It deliberately separates visual elements (chart) from analytical data (dashboard), solving the clutter problem that plagues most session indicators
Session VWAP calculation per session provides institutional fair value that simple midpoint calculations cannot match
The liquidity sweep detector uses dual filtering (ATR wick threshold + cooldown timer) for precision that basic "price crossed level" detection lacks
Volume-weighted session dominance and volume leader tracking provide insights into which session is driving the market — information not available in standard session indicators
Institutional candle grading within sessions identifies the specific candles where large orders were executed
The 15-row dashboard presents all session analytics simultaneously with zero empty cells, creating a true session command center
The combination of session boxes, sweep detection, volume spikes, institutional candle grading, and comprehensive analytics in a single clean-chart indicator is not available in existing public scripts
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors.
Session analysis reveals historical patterns in how different trading sessions behave. Past session patterns do not guarantee future session behavior. Market conditions, news events, and institutional positioning can cause sessions to behave atypically at any time.
Always use proper risk management. Never risk more than you can afford to lose. The author is not responsible for any losses incurred from using this indicator.
-Made with passion by officialjackofalltrades
Indicator
Triple Derivative EngineMost momentum indicators tell you where the price is. The Triple Derivative Engine tells you how fast it's getting there, whether that speed is increasing or fading, and whether the acceleration itself is changing direction — three layers of motion analysis extracted from a single smoothed price signal, all normalized to a common ±100 scale so every layer is directly comparable at a glance.
How It Works
Step 1 — Smoothing
Raw price is too noisy to differentiate reliably. TDE first passes your source through one of three selectable filters to extract the underlying motion curve before computing any derivatives.
Savitzky-Golay (default) fits a 2nd-order polynomial to a moving window of bars using Gram polynomial coefficients. Unlike a moving average, it preserves the shape of peaks and troughs rather than smoothing them away. Window sizes of 5, 7, 9, 11, 13, and 15 are supported, each with exact integer coefficients — no approximation. This gives the best phase response of the three filters: signals appear earlier and with less distortion.
Gaussian weights each past bar by a bell-curve function of its distance from the current bar. Sigma controls how quickly the weights fall off. Softer and more trailing than SG, useful when you want a cleaner curve at the cost of a slight lag.
Kalman is a single-state recursive filter that continuously estimates the "true" price by balancing how much it trusts the new measurement (R) versus how much the underlying process is expected to move (Q). It adapts bar-to-bar, making it the most responsive of the three with the least lag, but also the most sensitive to sharp moves.
Step 2 — Finite Difference Derivatives
Once the smoothed signal sm is computed, three derivatives are calculated using standard finite difference formulas:
Velocity (1st derivative): sm − sm — the rate of change of price. Positive means price is rising, negative means it is falling. The magnitude tells you how fast.
Acceleration (2nd derivative): sm − 2·sm + sm — the rate of change of velocity. Positive means momentum is building; negative means it is fading, even if price is still moving in the same direction.
Jerk (3rd derivative): sm − 3·sm + 3·sm − sm — the rate of change of acceleration. A leading indicator of acceleration reversals. When jerk crosses zero, acceleration is about to change direction.
Step 3 — Normalization
Each derivative is divided by its rolling peak absolute value over the normalization lookback window, then scaled to ±100. This keeps all three series on the same axis and comparable to each other, regardless of the instrument's price level or volatility. A velocity reading of +80 and an acceleration reading of +80 carry equivalent relative meaning within their own histories.
Signals
Zero Crosses
Every time a derivative crosses the zero line, a marker appears at the top or bottom of the panel. Each derivative has a distinct shape to avoid confusion:
Velocity (Circle): Bottom (bullish) / Top (bearish)
Acceleration (Diamond): Bottom (bullish) / Top (bearish)
Jerk (Square): Bottom (bullish) / Top (bearish)
Each set of markers is independently gated by its visibility toggle, so you only see the crosses for the series you have enabled.
Velocity cross — the most direct signal. When velocity crosses above zero, price momentum has turned positive on the source timeframe. Below zero, it has turned negative.
Acceleration cross — a timing tool, not a trend signal. When acceleration crosses above zero while velocity is still positive, the move is re-accelerating. When acceleration crosses below zero while velocity is still positive, the move is losing steam — the trend continues, but is starting to exhaust. Acceleration reversals frequently precede velocity reversals by several bars.
Jerk cross — the earliest signal in the chain. Jerk crossing zero means acceleration is about to change direction. By itself, jerk is noisy, but when it aligns with acceleration near a zero cross, it can give a meaningful early warning.
Divergence Markers (Triangles)
Divergence fires when acceleration crosses zero while velocity is still extreme — specifically when |vn| > 30. This combination means the move has been strong enough to be considered extended, but the underlying force driving it is already reversing.
Bear divergence (▼ triangle, top): Acceleration crosses below zero while velocity is still elevated above +30. The upswing's engine is cutting out while the price is still high. Historically, this precedes deceleration into a stall or reversal.
Bull divergence (▲ triangle, bottom): Acceleration crosses above zero while velocity is still depressed below −30. The downswing is losing power from the bottom. Historically, this precedes a deceleration of selling and a potential recovery.
Divergence markers are rarer than zero crosses by design. They represent a specific confluence, not a general crossover signal.
Regime Background
The panel background is tinted to reflect the current momentum regime:
Velocity > 0 and Acceleration > 0: Accelerating bull - Cyan tint
Velocity < 0 and Acceleration < 0: Accelerating bear - Red tint
No tint: Decelerating or mixed - Neutral
The regime is also displayed in the info table with four states: ▲ Accelerating, ↗ Decelerating, ↘ Recovering, ▼ Falling.
Signal Line
An EMA of velocity (default length 9) is plotted as a thin white line over the velocity histogram. Velocity crossing its own signal line is an additional early entry cue, analogous to the MACD signal cross but applied directly to the derivative layer.
Settings
⏱ Timeframe
Source Timeframe — the timeframe on which the smoothed signal is computed before derivatives are taken. Options: Auto, Chart, 5m, 15m, 1H, 4H, 1D, 1W.
Auto scales to a fixed higher timeframe based on your current chart: below 5m → 15m, below 15m → 1H, below 1H → 4H, below 4H → 1D, otherwise 1W. This allows the indicator to show higher-timeframe derivative structure on any intraday chart without manual adjustment.
The chart uses the same timeframe as the chart is on. Useful when you want the derivatives of the chart's own bars rather than a higher context.
🔬 Smoothing Filter
Filter — selects the smoothing method: Savitzky-Golay (recommended), Gaussian, or Kalman.
SG Window (SG only) — odd integer from 5 to 15. Controls the width of the polynomial fitting window. Larger windows produce smoother derivatives with (window−1)/2 additional bars of lag. Window 9 is the default and a good general-purpose choice. Use 5 or 7 for faster signals on volatile instruments; 13 or 15 for cleaner derivatives on smooth trends.
Gaussian Length (Gaussian only) — number of bars in the weighted sum. Longer = smoother.
Gaussian Sigma (Gaussian only) — controls the standard deviation of the bell curve. Lower values concentrate weight on recent bars; higher values spread it more evenly.
Kalman Q — Process Noise (Kalman only) — how much the filter expects the price to move on its own each bar. Higher Q makes the filter track price more closely with less smoothing. Range 0.0001–1.0, default 0.01.
Kalman R — Measurement Noise (Kalman only) — how much the filter distrusts the raw price measurement. Higher R produces more smoothing and more lag. Range 0.01–50.0, default 1.0.
📈 Derivatives & Display
Price Source — the input series to smooth and differentiate. Defaults to close. Can be set to any source, including hl2, ohlc4, or another indicator's output via the source selector.
Normalization Lookback — the rolling window (in bars) over which each derivative is scaled to ±100. Shorter windows (e.g., 50) make the indicator more responsive to recent extremes; longer windows (e.g., 200–500) provide a more stable baseline. Default 100.
Signal EMA Length — the length of the EMA applied to normalized velocity to produce the signal line. Default 9.
Velocity (1st deriv) — show/hide the velocity histogram and line, and its zero-crossing markers.
Acceleration (2nd deriv) — show/hide the acceleration line and its zero-cross diamond markers.
Jerk (3rd deriv) — show/hide the jerk line and its zero-crossing square markers. Hidden by default as it is primarily useful for advanced analysis.
Signal Line on Velocity — show/hide the EMA signal line overlay on velocity.
Divergence Markers — show/hide the bear/bull divergence triangle markers.
🎨 Colors
All seven colour elements are individually configurable: Velocity (up/down), Acceleration (up/down), Jerk (up/down), and the Signal line.
Alerts
Eight alert conditions are available:
Velocity → Positive: Velocity crosses above zero
Velocity → Negative: Velocity crosses below zero
Momentum Trough: Acceleration crosses above zero
Momentum Peak: Acceleration crosses below zero
Jerk → Positive: Jerk crosses above zero
Jerk → Negative: Jerk crosses below zero
Bullish Divergence: Acceleration recovers while velocity is below −30
Bearish Divergence: Acceleration rolls over while velocity is above +30
Reading the Indicator Together
The three layers are designed to be read in sequence, from slowest to fastest signal:
Check velocity for trend direction — is the move positive or negative?
Check acceleration for conviction — is the move building or fading?
Check jerk for early warning — is acceleration about to change?
A high-confidence setup aligns all three: velocity positive, acceleration positive and rising, jerk positive. As a move matures, acceleration will peak and roll over first, while velocity remains elevated — that is the divergence condition. Velocity eventually follows. Jerk will often signal the peak of acceleration one step earlier still.
No single cross is a trade signal on its own. TDE is a momentum structure tool. It is most useful when combined with price structure, support/resistance levels, and a defined higher timeframe bias. Indicator
Multi Timeframe Fractal Map [Herman]Multi Timeframe Fractal Map
This script is a multi-timeframe chart-reading framework that evaluates how the current candle interacts with the previous candle’s range across several timeframes, then combines that higher-timeframe context with intermarket comparison, structural execution levels, and session reference prices on one chart.
The core concept behind the script is a range interaction and acceptance/rejection model:
first, higher timeframe candles are reconstructed on the active chart,
then the current higher timeframe candle is compared with the previous higher timeframe candle,
then the script evaluates whether price is accepting expansion beyond that prior range or rejecting it,
then correlated markets are checked for confirmation or divergence,
and only after that are lower timeframe structural levels used for execution reference.
The script does not generate automated buy/sell orders.
Its purpose is to organize context first and execution second.
Why these components are combined
In discretionary intraday trading, traders often read:
higher timeframe structure on one chart,
range interaction and liquidity events on another,
intermarket confirmation separately,
execution levels on lower timeframes,
and session anchors such as PDH/PDL or Daily Open somewhere else.
This separation can lead to inconsistent interpretation.
This script combines these elements because each one evaluates a specific stage of price behavior: range interaction defines direction, intermarket comparison evaluates confirmation, and lower-timeframe structure is only used after that context is established.
The intended order is:
define higher timeframe structure,
classify current interaction with the previous higher timeframe range,
check whether correlated markets confirm or diverge,
establish current price location using reference levels,
use lower timeframe structural levels only after that context is already defined.
For that reason, the script is not intended as a group of unrelated tools. Each part is included to evaluate a different stage of the same chart-reading process.
1) Higher timeframe candle reconstruction
The script reconstructs multiple higher timeframe candles directly on the active chart.
For each selected higher timeframe, it maintains rolling values for:
open,
high,
low,
close,
and time.
These values are built dynamically from lower timeframe data, so the candles update while they are still forming.
This allows the script to show:
the current developing HTF candle body and wick,
prior completed HTF candles,
current HTF range expansion,
and countdown information for the active HTF candle.
The purpose of reconstruction is to keep higher timeframe structure visible on the execution chart instead of requiring the user to switch layouts.
2) Higher timeframe range interaction model
For each selected higher timeframe, the script compares the current candle with the previous candle’s range.
Using the previous candle as C1 and the current candle as C2, it evaluates:
sweep high when C2 high exceeds C1 high,
sweep low when C2 low breaks below C1 low.
It then evaluates where C2 closes relative to C1:
close above C1 high = acceptance above the prior range,
close below C1 low = acceptance below the prior range,
sweep without close beyond the boundary = rejection / failed expansion.
If neither side is swept, or if both sides are swept without clear directional acceptance, the state is treated as neutral.
This classification defines whether price is:
expanding and being accepted,
expanding but being rejected,
or not interacting with the prior range in a meaningful way.
3) Candle progression logic (Candle 2 / Candle 3)
The script evaluates sequential HTF candle behavior.
Candle 2
A Candle 2 condition is identified when:
the previous candle has a defined direction,
the current candle interacts with the prior extreme (high or low),
and the current candle closes back through or beyond that level.
This marks a potential reversal attempt.
Candle 3
A Candle 3 condition requires:
a valid prior Candle 2,
directional continuation,
and a close condition relative to the prior range (configurable strength).
This marks follow-through after the initial reaction.
The purpose of this progression is to distinguish between:
an initial reaction at a level,
and confirmed expansion following that reaction.
4) HTF classification table
The classification table summarizes the same range interaction logic across all active higher timeframes.
For each timeframe, the script uses:
C2 high, low, close,
and C1 high, low.
Classification rules:
LONG → C2 closes above C1 high
SHORT → C2 closes below C1 low
AVOID → all other cases, including:
both sides swept,
no sweep,
sweep without acceptance.
This output is deterministic and reflects current HTF behavior.
A combined bias is calculated by counting agreement across timeframes.
It summarizes alignment, not prediction.
5) Intermarket comparison (SMT)
The script compares correlated index markets to evaluate confirmation or divergence.
General conditions:
bearish divergence → one market forms a higher high while another does not confirm,
bullish divergence → one market forms a lower low while another does not confirm.
This comparison is aligned with the same reconstructed HTF structure.
Its purpose is to evaluate whether a move is supported across markets or shows relative weakness.
6) Sweep visualization
The script highlights sweep behavior directly on higher timeframe candles.
A sweep occurs when price moves beyond a previous HTF high or low.
The subsequent close determines whether that move is accepted or rejected.
This is part of the same range interaction model and is not a separate signal.
7) CISD structural execution levels
CISD levels are derived from changes in candle direction on lower timeframes, using the open price of the candle where the directional shift occurs.
The script tracks these levels as:
pending → identified but not yet confirmed,
confirmed → price closes beyond the level.
These levels represent local structure and are intended for execution reference only after higher-timeframe context is established.
For example, if a higher timeframe shows acceptance above the previous range and correlated markets confirm the move, a CISD break in that direction can be used as execution alignment.
8) HTF imbalance (FVG)
The script evaluates imbalance using non-overlapping price ranges:
bullish imbalance → earlier high is below a later low,
bearish imbalance → earlier low is above a later high.
If price trades back through the zone, it is considered invalidated.
These zones are shown in the context of reconstructed HTF candles.
9) Reference levels (location)
The script plots:
Previous Day High / Low,
Previous Day midpoint (50%),
Daily Open,
Midnight Open,
4H Open.
These levels define location only and are not used for directional classification.
10) Optional time segmentation
The script can divide the session into fixed time blocks and track their high and low.
This allows observation of:
compression,
expansion,
and failed expansion
within repeated time intervals.
How to use the script
The script is intended to be used in sequence:
Observe higher timeframe candles to define structure.
Evaluate how the current candle interacts with the previous HTF range.
Determine whether expansion is accepted or rejected.
Check intermarket comparison for confirmation or divergence.
Review multi-timeframe classification for alignment.
Use reference levels to determine location.
Use CISD levels for execution only if higher-timeframe context is aligned.
Lower timeframe signals should not be used independently.
Intended use
This script is intended for traders who:
use multi-timeframe analysis,
focus on range interaction and structural behavior,
use intermarket comparison as context,
and require structured decision-making on one chart.
Not intended as
an automated trading system,
a standalone signal generator,
or a guarantee of future performance.
Credits
Portions of the higher timeframe candle reconstruction were adapted from open-source work by Çağrı Dikici and are used with permission.
Disclaimer
This script is provided for analytical and educational purposes only.
It does not constitute financial or investment advice.
All trading involves risk. Indicator
Reaction Entry EngineReaction Entry Engine
Reaction Entry Engine is an open-source supply and demand reaction indicator built around one specific analytical idea:
the first meaningful return into a structurally valid zone can carry different information than later retests of the same area.
This script is not designed to mark every possible touch of every level, and it is not intended to behave like a generic supply and demand overlay that treats repeated interaction the same way. Its purpose is to build supply and demand zones from confirmed pivot structure, optionally validate the strength of the move that created the zone, rank the zone using an internal quality model, detect first-touch reactions, and map those reactions into a structured on-chart framework for analysis and review.
The script also includes review panels so users can inspect how projected setups behaved over time under the current settings. Those review tools are included to support study and comparison, not to imply future performance.
OPEN-SOURCE NOTE
This script is published open-source so users can inspect the logic directly, verify what the script is doing, and adapt parts of the workflow for their own research if they wish.
Even though the code is open, this description is intentionally detailed because many PulseWire users do not read Pine Script. The goal is for a user to understand what the script does, how it works, why its parts belong together, and how it may be used in practice without having to study the code line by line.
OVERVIEW
At a high level, the script does six things:
1. It builds supply and demand zones from confirmed pivot structure.
2. It can source those zones from the chart timeframe, from a higher timeframe, or from both.
3. It can filter weak formations by checking whether the move surrounding the pivot had enough directional strength.
4. It can score zone quality using post-formation displacement, reaction behavior, penetration depth, and repeated-touch penalties.
5. It can detect first-touch reactions into valid zones.
6. It can project entry, stop, and target structure on the chart and summarize projected historical behavior in review panels.
The script is therefore meant to function as a complete first-touch zone reaction framework rather than as a single-purpose zone-drawing tool.
CORE IDEA
Many structural tools identify areas where price may react, but they do not distinguish clearly between the first meaningful return into a zone and later repeated interaction with that same area.
This script is built around the idea that those two situations are not necessarily equivalent.
A fresh or relatively intact zone may behave differently from a zone that has already been tested multiple times. Because of that, the script does not treat all contact events in the same way. It attempts to organize the workflow into a more selective sequence:
first identify structure,
then filter weak structure,
then rank remaining zones,
then focus on the earliest qualifying return,
then map that return into a consistent visual framework for review.
This narrower focus is the main reason the script exists in its current form.
WHY THIS SCRIPT IS NOT A SIMPLE MASHUP
This script combines multiple components, but they are not included simply to place more features into one publication.
Each component has a specific function inside the same analytical process:
- Zone construction defines the structural areas.
- Multi-timeframe sourcing expands or narrows the structural map.
- The impulse filter reduces zones formed without meaningful directional expansion.
- The quality engine separates stronger and weaker structural candidates.
- The first-touch logic makes the model more selective than a repeated-touch zone script.
- The projection layer reduces the need for manual chart annotation after a setup appears.
- The review panels allow the user to examine projected historical behavior under the chosen settings.
These layers are interdependent.
Without the zone engine, there is no structural area to evaluate.
Without impulse validation, the model accepts more weak or noisy pivots.
Without quality scoring, all detected zones are treated too similarly.
Without first-touch logic, the script behaves more like a generic touch-based zone tool.
Without the projection layer, the user still has to manually draw entry, stop, and target structure after each setup.
Without the review layer, the user has less organized feedback when comparing settings or reviewing behavior across time.
For that reason, the script is intended as a single first-touch supply and demand reaction framework, not as a random collection of unrelated features.
WHAT THE SCRIPT DOES
The script identifies supply and demand zones from confirmed pivot highs and pivot lows.
Once a zone is created, the script can continue to monitor it and decide whether it should remain only as a structural reference or whether it qualifies for deeper evaluation inside the reaction framework.
Depending on settings, the script can:
- draw supply and demand zones,
- create zones from the chart timeframe,
- create zones from a selected higher timeframe,
- merge nearby zones of the same type,
- classify zones using an internal quality model,
- detect first-touch BUY or SELL reactions,
- project entry, stop loss, and take profit structure,
- retain historical projected trades on the chart,
- summarize projected behavior in performance and daily review panels.
This allows the chart to function not only as a zone map, but also as a structured review environment for the script’s own reaction model.
HOW THE SCRIPT WORKS
1) SUPPLY AND DEMAND ZONE CONSTRUCTION
The script uses pivot highs and pivot lows to define structural areas.
A pivot high can produce a supply zone.
A pivot low can produce a demand zone.
Rather than treating a pivot as one exact price, the script expands the pivot into a zone using a configurable pip-based thickness. This is important because many traders interpret supply and demand as areas rather than as single lines.
The script can build zones from:
- the current chart timeframe,
- a selected higher timeframe,
- or both at the same time.
If nearby zones of the same type are close enough to one another, the script can merge them into a broader structural area. This is meant to reduce overlap and make the displayed structure easier to read.
2) CONFIRMED ZONE LOGIC
The script includes a minimum-touch setting for confirmed zones.
This setting allows users to distinguish between:
- zones that have merely been detected,
- and zones that have accumulated enough interaction to be considered more established.
Different traders interpret this differently. Some prefer relatively fresh zones. Others prefer zones that have already shown repeated market interaction. The script is designed to support both approaches through settings rather than by forcing one interpretation.
3) TOUCH DETECTION
Zone interaction can be recognized using:
- wick touch,
- body touch,
- or both.
This affects how strict or permissive the model is when determining whether price has returned into a zone.
A wick-based model can capture sharp rejections that only briefly enter the area.
A body-based model is stricter and may reduce noise.
Using both provides broader coverage.
This means the same structural framework can be adapted to different preferences without changing the core logic of the script.
4) IMPULSE VALIDATION
Not every pivot represents meaningful structure.
Some pivots are formed during weak, indecisive, or noisy movement. To reduce that problem, the script can apply an impulse filter around the pivot that created the zone.
The impulse filter can evaluate factors such as:
- candle direction,
- candle range relative to ATR,
- candle body size relative to ATR,
- close location near the candle extreme,
- optional relative-volume participation.
The purpose of this filter is not to predict future direction by itself. Its purpose is simply to reduce zones that were formed without enough directional commitment.
5) QUALITY ENGINE
After a zone is created, the script can score it using an internal quality model.
The quality engine can consider:
- displacement after formation,
- reaction size after the first touch,
- penetration depth into the zone,
- repeated-touch penalty.
That information is then used to classify zones into internal grades such as:
- A,
- B,
- TRASH.
These grades are not guarantees and should not be interpreted as objective truth. They are simply the script’s own ranking method for separating stronger and weaker structural candidates under the current settings.
Users can keep all zones visible or restrict the workflow to higher-grade zones only.
6) FIRST-TOUCH REACTION MODEL
The central idea of the script is first-touch selection.
Rather than treating every revisit of a zone as equally important, the script attempts to detect the earliest qualifying return into a valid zone.
This makes the script more specific than:
- a basic supply and demand overlay,
- a general touch-alert tool,
- or a repeated-contact zone script.
For traders who consider early reactions to be structurally important, this framework may be useful because it intentionally avoids reacting in the same way to every later revisit of the same area.
7) TRADE PROJECTION LAYER
When a valid first-touch reaction is detected, the script can project a structured trade framework on the chart.
Depending on settings, this can include:
- BUY or SELL labels,
- an entry reference,
- stop loss,
- take profit,
- guide lines,
- TP and SL boxes,
- retained historical visual structure for later review.
This projection layer is not meant to claim that a setup will succeed. Its purpose is to reduce manual chart annotation and make the script’s reaction logic easier to inspect after the fact.
8) REVIEW PANELS
The script includes review panels that summarize projected historical behavior.
Depending on available chart history and current settings, the review may include metrics such as:
- total projected trades,
- wins,
- losses,
- win rate,
- profit factor,
- average result,
- net result,
- drawdown behavior,
- streak behavior.
A separate daily panel summarizes projected daily behavior according to the script’s configured timezone logic.
These panels are review tools only. They do not replace formal strategy testing, execution analysis, or live validation, and they should not be interpreted as promises of future performance.
WHAT MAKES THIS SCRIPT ORIGINAL
This script uses familiar technical-analysis building blocks such as pivots, ATR, candle structure, relative range expansion, optional volume comparison, and zone interaction logic.
Those building blocks are not original by themselves.
The originality of this script is not in inventing a completely new primitive indicator. The originality lies in how these familiar elements are arranged into one selective workflow:
pivot-based zone construction
→ optional multi-timeframe structure sourcing
→ impulse validation
→ quality scoring
→ first-touch selection
→ trade projection
→ on-chart review
That full sequence is the main reason this script exists as its own publication.
It is not intended to be simply another pivot tool, another ATR-based filter, or another chart dashboard. It is specifically a first-touch supply and demand reaction framework that combines structure detection, formation filtering, zone ranking, selective reaction logic, projection, and review in one workflow.
WHAT APPEARS ON THE CHART
Depending on settings, the chart may display:
- supply zones,
- demand zones,
- higher-timeframe zones,
- confirmed-zone coloring,
- zone labels,
- zone grades,
- BUY and SELL markers,
- entry / stop / target lines,
- TP / SL boxes,
- review panel,
- daily review panel.
Users who want a cleaner chart can disable some visual layers and keep only the ones most relevant to their workflow.
HOW TO USE THE SCRIPT
A practical workflow is:
1. Add the script to a standard candlestick chart.
2. Decide whether you want zones from the chart timeframe, from a higher timeframe, or from both.
3. Choose how strict touch detection should be by using wick touch, body touch, or both.
4. Enable the impulse filter if you want to reduce weaker pivot-based formations.
5. Enable the quality engine if you want to rank zones and restrict the workflow to stronger structural candidates.
6. Select the minimum accepted grade if you want stricter setup filtering.
7. Wait for a qualifying first-touch BUY or SELL reaction.
8. Use the projected entry, stop, and target structure as an analysis framework rather than as a blind instruction.
9. Review how prior projected setups behaved under the same settings.
10. Combine the script’s output with market context, execution rules, and risk management.
This script is best understood as a structured decision-support and chart-review tool, not as a fully self-sufficient trading system.
SETTINGS REFERENCE
Supply & Demand Engine
- Enable Supply & Demand Engine: turns structural zone detection on or off.
- Show S&D Zones: controls whether zone boxes are visible.
- Pip Value: converts pip-based calculations into instrument-specific price units.
- Pivot Left / Pivot Right: define pivot-confirmation depth.
- Use Chart Timeframe Zones: includes zones from the active chart timeframe.
- Use Higher Timeframe Zones: includes zones from the selected higher timeframe.
- Higher Timeframe: selects the HTF used for additional zone sourcing.
- Minimum Touches for Confirmed Zone: defines when a zone is considered confirmed.
- Zone Thickness (pips): controls zone thickness.
- Zone Merge Distance (pips): controls when nearby zones may be merged.
- Break Close Buffer (pips): defines the close-through buffer used in break logic.
- Maximum Stored Zones: limits how many zones remain in memory.
- Use Wick Touch / Use Body Touch: define how interaction with a zone is recognized.
Impulse Filter
- Enable Impulse Filter: turns pivot-strength filtering on or off.
- Impulse Candle Count: number of candles checked after pivot formation.
- ATR Length: ATR period used by the impulse model.
- Minimum Range x ATR: required range expansion relative to ATR.
- Minimum Body x ATR: required body expansion relative to ATR.
- Close Near Extreme: requires the candle to close near its extreme.
- Require Volume Condition: optionally adds a relative-volume filter.
- Volume SMA Length / Minimum Volume x SMA: control the volume filter.
Quality Engine
- Enable Quality Engine: turns zone scoring on or off.
- Displacement Bars: measures post-formation expansion.
- Minimum Displacement (pips): required structural push after formation.
- Reaction Window (bars): number of bars used to evaluate post-touch behavior.
- Minimum Reaction (pips): minimum bounce or rejection required.
- Maximum Penetration %: limits acceptable penetration into the zone.
- Touch Penalty: reduces score as repeated interaction accumulates.
- Hide TRASH Grade Zones: removes weaker zones from view.
- Show Grade on Zones: displays grade labels on the chart.
- Show Zone Labels / Zone Label Size: control zone-label visibility and size.
Trade Projection
- Enable Simulator: turns first-touch trade projection on or off.
- Take Profit RR: sets the target multiple relative to stop distance.
- Stop Loss (pips): sets the projected stop distance.
- Use Chart TF Signals Only: restricts projected setups to chart-timeframe zones.
- Minimum Grade: defines the lowest accepted grade for projected setups.
- Show Entry / Exit Labels: displays entry and exit labels.
- Show Entry / SL / TP Lines: displays projection lines.
- Projection Length (bars): extends projected visuals into future bars.
- Show TP / SL Boxes: displays TP and SL boxes.
- Box Fill / Border controls: change trade-box styling.
- Show Performance Panel / Panel Position: control review-panel visibility and position.
- Show Daily PnL Panel / Number of Days / Panel Position: control daily-review settings.
IMPORTANT PRACTICAL NOTE ON PIP VALUE
The script uses a Pip Value setting to convert internal pip-based distances into actual price distances.
This matters because different instruments use different decimal structures.
If zones, stop loss, take profit, or projected distances appear too compressed, too large, or otherwise inconsistent for the instrument being analyzed, the first setting to verify is Pip Value.
On some symbols, especially small-decimal forex instruments, this setting may need adjustment for the script’s structural and projection logic to behave as intended.
LIMITATIONS AND SHORTCOMINGS
This script has important limitations:
- It relies on pivot confirmation, so some structural elements are recognized only after a confirmation delay.
- Zone behavior can vary across symbols, brokers, spreads, sessions, and volatility regimes.
- Higher-timeframe zones depend on the selected timeframe and can materially change the number and spacing of setups.
- The quality engine is a ranking model, not an objective truth detector.
- The review panels reflect the script’s own projected logic and settings, not guaranteed tradable outcomes.
- The script can be sensitive to pip-conversion settings on some markets.
- First-touch logic is selective by design, so it may ignore later reactions that some traders would still consider relevant.
- No zone model can remove all false signals or all regime-dependent behavior.
For those reasons, the script should be used as a structured analysis and review framework, not as a promise of future profitability.
WHO THIS SCRIPT MAY BE USEFUL FOR
This script may be useful for traders who:
- study supply and demand behavior,
- care more about first-return reactions than repeated retests,
- want structural filtering rather than raw touch alerts,
- want automatic trade mapping for chart review,
- want historical on-chart review of projected outcomes.
It may be less suitable for traders who:
- want every zone retest marked,
- want a minimal chart with almost no overlays,
- want a finished strategy that requires no outside confirmation or discretion.
DISCLAIMER
This script is provided for educational and informational purposes only.
It does not constitute financial, investment, or trading advice.
Market conditions change, historical behavior does not guarantee future results, and users should perform their own analysis, validation, and risk management before using the script in live decision-making. Indicator
Indicator
Intraday Trading Helper Tools**Intraday Trading Helper Tools**
A multi-feature intraday analysis indicator combining Fair Value Gaps, session visualization, key price levels and daily gap detection into a single lightweight script.
---
**Fair Value Gaps (FVG)**
Detects and draws bullish and bearish FVGs on the current timeframe. Only the closest N gaps above and below price are shown — filled gaps are removed instantly with fill % tracked live.
- Per-timeframe on/off toggle (1m → 1M) — disabled TFs skip all calculation, not just drawing
- HTF Layers: overlay FVGs from up to 5 higher timeframes (1H, 4H, 1D, 1W, 1M), each showing the single closest gap above and below price
- All layers independently toggleable with custom colors
**Trading Sessions**
Colored background boxes for Sydney, Tokyo, Frankfurt, London and New York with automatic DST adjustment.
- Configurable history in days (separately for 1H and minute TFs)
- Option to merge Sydney + Tokyo into a single Asia box
- Zero calculation cost when sessions are disabled
**Daily Opening Gap**
Real gap detection — fires only when today's open differs from the previous day's close. Visible on all timeframes. Box is deleted automatically the moment price fills the zone. Works correctly on 24/7 markets (crypto) and traditional markets.
**Key Levels**
- *PDH / PDL* — Previous Day High and Low
- *PWH / PWL* — Previous Week High and Low
- *PMH / PML* — Previous Month High and Low
- *DO* — Current Day Open (resets each day)
- *MO* — Current Month Open (resets each month)
All levels independently toggleable with custom colors and labels.
**Extremum Points**
Confirmed swing highs and lows marked with triangle shapes. Configurable pivot strength. Per-timeframe visibility control. Indicator
VolProfex Volatility Time Window AnalyzerVolProfex Volatility Time Window Analyzer (VPX VTWA) analyzes intraday volatility across user-defined time windows within a trading session. It displays a table ranking windows by average and median move size (price % or ATR multiples), using historical data over a lookback period, with optional trend quality filtering out choppy periods using Directional Efficiency Ratio (Kaufman ER).
Session
Session (HHMM-HHMM): Defines trading session in exchange local time (e.g., 0930-1600 for NYSE/NASDAQ).
Session Timezone: Selects timezone handling DST automatically (e.g., America/New_York).
Calculation
Analysis Window (min): Time slot size for table display (options: 5,10,15,30,60,120,240).
Intrabar Resolution (min): Lower TF for accurate intrabar data (options: 1,2,3,5,10,15,30); smaller = better precision, longer load.
Lookback Days: Recent days analyzed (1-5000, default 1000).
Move Method: High-Low Range (absolute) or Open-to-Close (directional).
ATR Normalisation: ON shows moves as ATR multiples for regime-independent comparison.
ATR Period: ATR lookback (1-200, default 14).
Trend Quality Filter
Enable Trend Quality Filter: Excludes choppy windows based on efficiency ratio.
Min Trend Quality (%): Threshold (0-100, default 30); higher = stricter directional moves.
Consolidation
Enable Consolidation: Shows top N individually, groups rest.
Show Top N Individually: Highest-vol windows at full detail (1-100, default 10).
Group Remaining Into (min): Block size for lower-vol averages (options: 5,10,15,30,60,120).
Display
Highlight Top N Rows: Green highlight count (1-10, default 3).
Table Position: Corner placement.
Text Size: Table font (Tiny,Small,Normal,Large).
Indicator
Trend Resonance Oscillator [JOAT]Trend Resonance Oscillator
Introduction
The Trend Resonance Oscillator is an open-source non-overlay indicator that measures multi-timeframe trend alignment and produces a composite resonance score. It fetches trend data from up to five configurable timeframes, calculates whether they agree on direction, and outputs an oscillator that reflects the degree of alignment. When most or all timeframes point the same way, the oscillator reaches extreme values and the indicator declares a state of "resonance" — a condition where directional conviction is high across the time spectrum. It also includes quantum-inspired coherence scoring, harmonic pattern detection, and momentum alignment visualization.
Built with Pine Script v6, the indicator uses custom types for trend state, resonance state, timeframe data, quantum state, and harmonic patterns.
Why This Indicator Exists
A trade taken in the direction of the 5-minute trend may fail if the 1-hour and daily trends disagree. Multi-timeframe alignment is one of the most reliable filters for trade quality, but checking multiple timeframes manually is tedious and subjective. This indicator automates that process by:
Simultaneous MTF analysis: Fetches close, EMA, and rate-of-change data from five configurable timeframes in a single indicator
Alignment scoring: Quantifies how many timeframes agree on direction and how strong each trend is, producing a single composite score
Resonance detection: Identifies periods when alignment exceeds a configurable threshold, signaling high-conviction directional conditions
Confluence signals: Generates labeled signals when a minimum number of timeframes align, providing clear entry confirmation
Coherence and entanglement metrics: Measures the consistency and correlation between timeframe trends, adding depth beyond simple directional agreement
Core Components Explained
1. Multi-Timeframe Trend Detection
For each of the five timeframes (default: 5m, 15m, 1H, 4H, Daily), the indicator fetches close price, EMA, and rate-of-change using `request.security()` with proper lookahead settings to avoid repainting:
float _tf1Close = request.security(syminfo.tickerid, tf1, close, barmerge.gaps_off, barmerge.lookahead_off)
float _tf1EMA = request.security(syminfo.tickerid, tf1, _globalEMA, barmerge.gaps_off, barmerge.lookahead_off)
Each timeframe's trend is classified as bullish, bearish, or flat based on the percentage difference between close and EMA relative to a configurable threshold (default 0.5%). The trend strength is calculated as the magnitude of that percentage difference, capped at 100.
2. Alignment Score Calculation
The alignment score counts how many timeframes are bullish versus bearish, then produces a normalized score from -100 (all bearish) to +100 (all bullish):
+100: All active timeframes are bullish — maximum bullish alignment
+60: Majority bullish with some neutral — strong bullish bias
0: Equal bullish and bearish — no directional consensus
-60: Majority bearish — strong bearish bias
-100: All bearish — maximum bearish alignment
The alignment score is weighted by the average trend strength across all active timeframes, so a +80 alignment with strong individual trends produces a higher oscillator value than +80 alignment with weak trends.
3. Resonance Detection
Resonance occurs when the ratio of aligned timeframes to total active timeframes exceeds the resonance threshold (default 0.7) and the aligned count meets the minimum confluence requirement (default 4 timeframes). During resonance, the background is tinted to indicate the directional bias, and a duration counter tracks how long the resonance state has persisted.
Sustained resonance (high duration) suggests a strong, established trend. New resonance (low duration) may signal the beginning of a directional move. The dashboard displays the resonance score, aligned count, and duration for quick assessment.
The Trend Resonance Oscillator panel showing the main oscillator line with gradient coloring, MTF trend bars at the bottom showing individual timeframe directions, resonance background shading during a strong bullish alignment, and confluence/resonance signal labels
4. Quantum Coherence and Entanglement
The indicator calculates two additional metrics inspired by quantum physics concepts (used as analytical metaphors, not literal physics):
Coherence: The ratio of aligned timeframes to total timeframes. A coherence of 1.0 means perfect agreement. When coherence exceeds the threshold (default 0.8), the indicator enters a "coherent" state, which is visualized as a subtle wave pattern on the oscillator.
Entanglement: Measures the pairwise correlation between all timeframe trends. For each pair of timeframes, if they agree on direction, the entanglement score increases; if they disagree, it decreases. High entanglement means timeframes are moving in lockstep.
for i = 0 to 3
for j = i + 1 to 4
if trend_i != 0 and trend_j != 0
correlation = trend_i == trend_j ? 1.0 : -1.0
entanglement += correlation
pairs += 1
When the quantum superposition score (combination of coherence and entanglement) exceeds a threshold, a "quantum collapse" signal fires, indicating that all timeframes have converged to a single directional state.
5. Harmonic Pattern Detection
The harmonic module detects cyclical patterns in the resonance data. When resonance is sustained for more than 10 bars, the pattern is classified as a sine wave (smooth, established trend). When resonance is new or intermittent, it is classified as a square wave (choppy, emerging trend). The harmonic wave is plotted as a subtle overlay on the oscillator.
6. Confluence and Signal System
The indicator generates three tiers of signals, with higher tiers taking priority:
CONF (Confluence): Minimum timeframes aligned with alignment score >= 70
RES (Resonance): Strong resonance with score >= 80
QTM (Quantum): Quantum collapse — all metrics converge to a single state
Each signal fires only on its first bar (not continuously), preventing chart clutter. Signals are color-coded with gradient intensity based on the underlying strength.
Visual Elements
Main Oscillator: Smoothed alignment score plotted as a line with gradient coloring from bearish to bullish
Reference Levels: Lines at 0 (neutral), +/-50 (moderate), +/-80 (strong)
MTF Trend Bars: Five colored column bars at the bottom of the panel, each representing one timeframe's trend direction and strength
Resonance Background: Tinted background during resonance states
Quantum Superposition Line: Step-line showing the quantum composite score
Coherence Wave: Subtle area plot showing coherence oscillation
Harmonic Pattern: Sine/square wave overlay during active resonance
Momentum Alignment: Area histogram showing aggregate momentum across timeframes
Convergence/Divergence: Histogram showing agreement between momentum and oscillator
Signal Labels: CONF, RES, and QTM labels at signal points
Entanglement Lines: Visual connections when timeframe entanglement is high
Dashboard: Comprehensive table showing each timeframe's trend, strength, and the aggregate resonance metrics
Input Parameters
Multi-Timeframe Settings:
Toggle and configure each of 5 timeframes (default: 5m, 15m, 1H, 4H, Daily)
Trend Detection:
Trend EMA Length (default 20), Momentum Length (default 14), Trend Threshold (default 0.5%)
Resonance Settings:
Resonance Lookback (default 20), Resonance Threshold (default 0.7)
Show Resonance Zones toggle
Alignment Scoring:
Min TFs for Confluence (default 4)
Show Alignment Score and Confluence Signals
Advanced Resonance:
Quantum Resonance, Coherence Waves, Entanglement Lines, Harmonic Patterns toggles
Coherence Threshold (default 0.8), Harmonic Period (default 8)
Visual Settings:
Show Oscillator, MTF Bars, Dashboard, Glow Effects, Waveform
Color Scheme: Quantum, Classic, Professional, Neon
How to Use This Indicator
Step 1: Check the MTF trend bars at the bottom of the panel. If all five bars are the same color (all bullish or all bearish), you have strong multi-timeframe alignment.
Step 2: Read the oscillator value. Values above +50 indicate moderate bullish alignment; above +80 indicates strong alignment. The inverse applies for bearish readings.
Step 3: Watch for resonance background shading. When the background turns bullish or bearish, the indicator has detected sustained multi-timeframe agreement — this is the highest-conviction environment for directional trades.
Step 4: Use CONF, RES, and QTM signals as entry confirmations. A CONF signal in the direction of the oscillator provides moderate confirmation. A RES or QTM signal provides strong confirmation.
Step 5: Monitor the momentum alignment area. When momentum and the oscillator agree, the move has both directional alignment and momentum behind it. When they diverge, the move may be losing steam.
Dashboard showing all five timeframes with their individual trend states, the aggregate resonance score, coherence level, entanglement reading, and harmonic pattern status
Indicator Limitations
Multi-timeframe data requires sufficient history on all selected timeframes. On newly listed instruments, higher timeframe data may be limited.
The indicator uses `request.security()` with `barmerge.lookahead_off` to prevent repainting, but the inherent delay of higher timeframe data means signals reflect confirmed (not real-time) higher timeframe states.
Alignment does not guarantee profitable trades. All timeframes can align in one direction and then reverse simultaneously.
The quantum and harmonic features are analytical metaphors that provide useful metrics, not literal physics simulations.
On very low timeframes (1m or less), higher timeframe data updates infrequently, which can make the oscillator appear static for extended periods.
The indicator makes multiple `request.security()` calls, which counts against PulseWire's security call limit.
Originality Statement
This indicator is original in its comprehensive multi-timeframe resonance framework. While MTF trend indicators exist, this indicator is justified because:
It produces a quantified resonance score that measures not just direction but the degree and duration of multi-timeframe agreement
The coherence and entanglement metrics add pairwise correlation analysis between timeframes, going beyond simple directional counting
The three-tier signal system (CONF/RES/QTM) provides graduated confidence levels based on the strength of alignment
Harmonic pattern detection on the resonance data identifies whether alignment is sustained (sine) or emerging (square)
The momentum alignment overlay shows whether aggregate momentum across timeframes supports the directional reading
The weighted oscillator combines alignment direction with individual trend strength for a more nuanced composite score
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Multi-timeframe alignment is a powerful filter but does not guarantee profitable trades. Always use proper risk management. The author is not responsible for any losses incurred from using this indicator.
-Made with passion by officialjackofalltrades
Indicator
Price Memory Heatmap [BullByte]Price Memory Heatmap - Dynamic Support & Resistance Through Market Memory
Price Memory Heatmap visualizes where markets remember. It identifies price levels where repeated reactions have occurred, measures their intensity through a proprietary heat system, and displays them as dynamic zones that strengthen with each new reaction and naturally fade when the market moves on.
This is not a combination of existing indicators. It is a unified analytical framework built around one original concept: price levels accumulate heat from confirmed reactions and lose heat through exponential decay when untouched. The result is a self-organizing, self-cleaning map of historically significant price zones that evolves with every bar.
---
WHAT THIS INDICATOR DOES
Price Memory Heatmap tracks price levels where significant market reactions have occurred. Each level is treated as a living entity with memory:
→ Gains heat when price reacts at it (confirmed pivots and wick rejections)
→ Loses heat over time when untouched (exponential decay)
→ Displays visual intensity proportional to accumulated reaction history
→ Gets removed automatically when its heat falls below a minimum threshold
→ Classifies real-time price behavior at each zone (Rejection, Sweep, Break, Retest, Absorption)
The indicator tracks up to 20 memory levels simultaneously and displays only the most significant ones based on heat intensity and reaction count. Zones are color-coded from cool (low activity) to hot (high activity), giving instant visual hierarchy of level importance.
Key outputs:
→ Heat-mapped zones showing historical reaction intensity
→ Classification labels (Developing, Active, Strong, Dominant)
→ Hit count showing total confirmed reactions at each level
→ Relative volume multiplier showing conviction behind reactions
→ Level age tracking (Fresh, Seasoned, Veteran)
→ Real-time behavior detection integrated into zone labels
→ Summary dashboard ranking all active levels by heat
---
WHY THIS INDICATOR EXISTS
Traditional support and resistance tools draw static lines. They cannot tell you whether a level was tested once or ten times, whether reactions were backed by strong volume or weak, whether the level was formed yesterday or months ago, or how price is currently interacting with that level.
Price Memory Heatmap addresses each of these gaps through a single cohesive system:
PROBLEM: "Is this level significant?"
→ SOLUTION: Heat intensity and classification tier tell you immediately. A Dominant zone with 8 hits is far more significant than a Developing zone with 2 hits.
PROBLEM: "Was there conviction behind reactions at this level?"
→ SOLUTION: Relative volume multiplier shows whether reactions attracted above-average volume (e.g., 2.3x means 2.3 times the average bar volume).
PROBLEM: "Is this level still relevant?"
→ SOLUTION: Exponential decay naturally fades untouched levels. If the market has forgotten a level, the indicator forgets it too.
PROBLEM: "How is price interacting with this level right now?"
→ SOLUTION: Real-time behavior detection classifies the current interaction as Rejection, Sweep, Break, Retest, or Absorption.
PROBLEM: "How old is this level?"
→ SOLUTION: Age tracking categorizes each level as Fresh (recently formed), Seasoned (survived multiple decay cycles), or Veteran (persistent structural significance).
---
HOW PRICE MEMORY WORKS
The lifecycle of a memory level:
BIRTH - A confirmed pivot swing (high or low) creates a new memory level, or merges into a nearby existing level if one exists within the merge distance.
REINFORCEMENT - Each subsequent reaction at the level adds heat. Reactions with above-average volume add proportionally more heat. The level's price adjusts as a weighted average of all reactions.
DECAY - Every bar without a reaction, the level's heat is multiplied by the decay rate (default 0.992). This creates a natural half-life where untouched levels gradually lose prominence.
DEATH - When heat falls below the death threshold (default 0.08), the level is permanently removed. This keeps the chart clean and focused on relevant levels.
The heat value drives everything:
→ Zone color intensity (hotter = more prominent visual)
→ Classification tier (Dominant, Strong, Active, Developing)
→ Dashboard ranking (sorted by heat, hottest first)
→ Glow effect intensity (stronger glow on high-heat zones near price)
Additionally, wick rejections are detected as secondary reaction sources. When a candle wicks into an existing level and rejects (closes away), it adds heat at half the rate of a confirmed pivot, preventing over-weighting of intrabar noise while still capturing meaningful reactions.
---
WHY THIS IS NOT A MASHUP
This indicator uses pivot detection, ATR, and volume data internally, but it does not combine or display existing indicators. The distinction is fundamental:
A mashup displays independent indicators together on one chart.
This indicator uses standard calculations as INPUT MECHANISMS feeding a completely original processing engine whose output cannot be replicated by any combination of existing tools.
→ Pivots = Detection mechanism only (identifies where reactions occur)
→ ATR = Scaling parameter only (normalizes distances across any asset)
→ Volume = Weighting modifier only (amplifies high-conviction reactions)
→ Heat Accumulation + Decay = ORIGINAL (no existing indicator does this)
→ Dynamic Level Lifecycle = ORIGINAL (birth, reinforce, decay, death)
→ Behavior Detection at Levels = ORIGINAL (classifies interaction patterns)
No component is displayed independently. Everything feeds the central price memory concept.
---
HOW TO READ THE ZONES
ZONE COLORS (Dark Theme - default):
→ Purple/Blue tones = Low heat, Developing level (fewer reactions)
→ Red tones = Medium heat, Active or Strong level
→ Orange/Yellow/Gold tones = High heat, Dominant level (many confirmed reactions)
ZONE COLORS (Light Theme):
→ Gray/Steel tones = Low heat
→ Red/Dark Red tones = Medium to high heat
ZONE COLORS (Classic S/R Theme):
→ Green = Level currently acting as support (price above the zone)
→ Red = Level currently acting as resistance (price below the zone)
ZONE THICKNESS:
Zones expand slightly as heat increases and pulse larger when price approaches (proximity effect). The glow effect adds a soft outer halo that intensifies on high-heat levels near current price, providing immediate visual emphasis on the most important nearby zones.
ZONE LIFESPAN:
Each zone extends from its birth bar to a configurable number of bars into the future (default 15). This visual extension is purely for display - it helps identify where zones project ahead of price. Older zones with maintained heat indicate structural levels where the market has shown persistent memory.
---
HOW TO READ THE LABELS
Each visible zone displays a label with key information. The label format depends on the selected Label Mode. When behavior is detected, it is appended to the end of the label.
MINIMAL MODE EXAMPLE:
"STR 5 2.3x SEA REJ↑"
→ STR = Classification (Strong)
→ 5 = Hit count (5 confirmed reactions)
→ 2.3x = Relative volume (2.3 times average per reaction)
→ SEA = Age (Seasoned - 50 to 200 bars old)
→ REJ↑ = Current behavior (Bullish Rejection detected)
STANDARD MODE EXAMPLE:
"Strong | 5 hits | 2.3x | SEA | Rejection ↑"
→ Full classification name
→ Hit count with label
→ Relative volume multiplier
→ Age abbreviation
→ Full behavior name with direction
DETAILED MODE EXAMPLE:
"Strong | Resistance | 5 | 2.3x | 1.2345 | Seasoned | Sweep ↓"
→ Classification
→ Current support/resistance status
→ Hit count
→ Relative volume
→ Exact price
→ Full age name
→ Full behavior name
LARGE MODE:
Same information as Standard but rendered in larger text for visibility.
When no behavior is currently detected, the behavior portion is simply omitted from the label.
CLASSIFICATION TIERS:
→ Developing = Heat below 40% of max OR fewer than 3 hits
→ Active = Heat above 40% AND 3 or more hits
→ Strong = Heat above 60% AND 4 or more hits
→ Dominant = Heat above 80% AND 5 or more hits
AGE CATEGORIES:
→ Fresh (NEW) = Less than 50 bars since first detection
→ Seasoned (SEA) = Between 50 and 200 bars old
→ Veteran (VET) = More than 200 bars old
A Veteran level with high heat indicates deep structural significance - a price where the market has reacted repeatedly over an extended period and continues to hold relevance.
RELATIVE VOLUME EXPLAINED:
The volume shown is NOT raw volume. It is a normalized multiplier showing how much volume reactions attracted compared to the average bar:
→ 1.0x = Average volume at reactions
→ 2.0x or higher = Above-average conviction behind reactions
→ Below 0.5x = Below-average conviction
→ "-" = Volume data unavailable for this asset
Volume is calculated using attributed notional value: only the fraction of bar volume proportional to the zone width is counted, preventing large-range bars from inflating readings.
---
HOW TO READ THE DASHBOARD
The dashboard provides a ranked summary of all active memory levels. It appears as a table overlay on the chart (position configurable).
COLUMN-BY-COLUMN:
# → Rank by heat intensity. An asterisk (*) marks the highest-heat level. Numbers rank the rest.
PRICE → The exact price of the memory level, formatted to the asset's tick precision. This is the weighted-average price across all reactions at this level.
CLASS → Classification tier (Developing, Active, Strong, Dominant). In Classic S/R theme, a suffix "S" (Support) or "R" (Resistance) is appended based on whether price is above or below the level.
HEAT → Visual heat bar using 8 segments.
→ "||||||||" = Maximum heat (hottest level)
→ "||||...." = Moderate heat
→ "|......." = Low heat (may decay out soon)
HITS → Total number of confirmed reactions at this level. This includes both pivot-confirmed reactions and qualified wick rejections.
RVOL → Relative volume multiplier averaged across all reactions at this level. Higher values indicate stronger volume conviction behind the reactions that built this level.
STATUS → A dynamic field showing one of three things:
→ Behavior pattern name if currently detected (e.g., "REJ↑", "SWP↓", "BRK↑")
→ "At level" if price is within 0.15% of the zone (highlighted in green)
→ Distance as percentage if price is away (e.g., "1.25% above")
AGE → How long the level has existed (NEW, SEA, VET).
FOOTER → Shows total memory levels being tracked, how many are currently visible, and the current decay rate setting.
---
BEHAVIOR DETECTION
When price approaches a memory zone, the indicator analyzes real-time price action to classify how the market is interacting with that level. The detected behavior is displayed as part of the zone label and in the dashboard STATUS column.
Behaviors are checked in priority order. Only the highest-priority match is displayed.
BREAK (Highest Priority):
→ Price opens on one side of the zone and closes decisively on the other
→ Requires strong body (more than 50% of candle range)
→ Close direction must match candle direction (bullish close for Break ↑)
→ Indicates the level has failed and may flip from support to resistance or vice versa
→ Once a Break is detected, the level is marked internally so future Retest detection becomes possible
SWEEP:
→ Price extends significantly beyond the zone (1.5x zone height past the edge) then reverses
→ The extended wick must be larger than the body and more than 35% of total range
→ Close must be back near or inside the zone
→ This pattern often represents a liquidity grab - price pushes through to trigger stops then reverses
REJECTION:
→ A prominent wick touches or enters the zone, and the body closes away
→ Wick must exceed 45% of the candle's total range
→ Body must have meaningful size (more than 25% of range) confirming conviction
→ Indicates the level is actively defending - buyers or sellers are stepping in
RETEST:
→ Price returns to a level that was previously broken
→ Requires all lookback bars to have been on one side (away from zone)
→ Current bar must touch the zone
→ This is the classic "support becomes resistance" or "resistance becomes support" confirmation
ABSORPTION (Lowest Priority):
→ Multiple consecutive bars with bodies inside the zone
→ Average body size is small relative to average range (less than 45%)
→ Indicates accumulation or distribution is occurring within the zone
→ Often precedes significant directional moves
Behaviors persist in the label until a new behavior is detected. When price moves away from the zone, the last detected behavior remains visible, giving context about the most recent significant interaction.
---
RECOMMENDED TIMEFRAMES AND SETTINGS
SCALPING (1-minute to 15-minute charts):
→ Pivot Sensitivity: 2 to 4
→ Decay Rate: 0.980 to 0.985 (faster fade for fast markets)
→ Min Hits: 2
→ Focus on Fresh and Seasoned levels
DAY TRADING (15-minute to 1-hour charts):
→ Pivot Sensitivity: 5 to 8
→ Decay Rate: 0.990 to 0.992 (default range)
→ Min Hits: 2 to 3
→ Balanced mix of age categories
SWING TRADING (4-hour to daily charts):
→ Pivot Sensitivity: 10 to 15
→ Decay Rate: 0.994 to 0.996 (slower fade)
→ Min Hits: 3
→ Focus on Seasoned and Veteran levels
POSITION TRADING (daily to weekly charts):
→ Pivot Sensitivity: 15 to 25
→ Decay Rate: 0.997 to 0.999 (very slow fade)
→ Min Hits: 3 to 4
→ Focus on Veteran levels with high heat
GENERAL TIPS:
→ Higher timeframes benefit from increased Pivot Sensitivity
→ Volatile assets benefit from increased Merge Distance
→ For cleaner charts, increase Min Hits to Display
→ For more context, increase Max Memory Slots and Show Top N Levels
---
PRACTICAL EXAMPLES
EXAMPLE 1 - IDENTIFYING HIGH-PROBABILITY REACTION ZONES:
A Dominant-classified zone (gold/yellow) showing 7 or more hits with Veteran age tells you this is a deeply embedded structural level. The market has reacted here many times over hundreds of bars and the level continues to maintain high heat. When price approaches this zone, the probability of a meaningful reaction is elevated compared to a Developing zone with 2 hits.
EXAMPLE 2 - CONFIRMING A BREAKOUT:
Price approaches a Strong resistance zone. The label updates to show "Break ↑" as price closes decisively above. The dashboard STATUS column changes from "0.5% below" to "BRK↑". If price later returns to this zone and the label shows "Retest ↑", this confirms the classic resistance-to-support flip pattern. The zone's wasBroken flag ensures Retest detection only activates after a confirmed Break.
EXAMPLE 3 - SPOTTING LIQUIDITY SWEEPS:
A high-heat zone sits above price. Price spikes through the zone with a long upper wick but closes back inside or below. The label displays "Sweep ↓" indicating a potential stop-hunt pattern. The wick exceeded 1.5 times the zone height beyond its edge and the upper wick dominated the candle's body - both requirements for Sweep classification.
EXAMPLE 4 - READING VOLUME CONVICTION:
Two zones appear near current price. Zone A shows "2.8x" relative volume while Zone B shows "0.6x". The reactions that built Zone A attracted nearly 3 times the average bar volume, suggesting strong institutional interest. Zone B's reactions occurred on below-average volume, suggesting less conviction. This context helps prioritize which zone is more likely to produce a meaningful reaction.
EXAMPLE 5 - USING LEVEL AGE FOR CONTEXT:
A Veteran level (more than 200 bars old) that still maintains high heat has survived hundreds of decay cycles. Each cycle multiplies its heat by 0.992 (default). After 200 bars of decay without any new reactions, heat would fall to roughly 20% of its peak. For a Veteran level to remain Dominant, it must have received consistent reinforcement over time - indicating genuine structural significance rather than a one-time event.
---
Chart Example
1. Price on the S&P 500 E-mini Futures 15-minute chart is consolidating within a tight range between two heavily-tested Veteran zones, with the gold Dominant level acting as a persistent floor and an orange 22-hit Veteran zone overhead cycling through live behaviors as price repeatedly tests it from below. A structured ladder of purple Developing and red Active zones extends well below current price, with a Retest ↓ pattern visible at a mid-range level indicating a previously broken area is now being revisited from above. The dashboard confirms 17 memory levels tracked with 8 visible, the top-ranked Dominant zone holding a full heat bar and Break ↑ in its STATUS column throughout the session.
2. Price on the Nifty 50 Index 5-minute chart surged strongly through a cluster of high-heat gold zones during the session, reaching a peak at a thin Developing resistance level before pulling back sharply into a contested area between a Dominant zone and a Strong zone sitting just below it. The upper region shows two gold/yellow zones in close proximity - a Dominant and a Strong, both with Sweep behaviors active in their labels, indicating a liquidity grab above followed by a sharp reversal back into the zone cluster. The dashboard shows two Dominant-classified levels in the top two ranks, with a rich mix of Veteran and Seasoned ages confirming this price area carries deep structural memory.
---
SETTINGS REFERENCE
CORE SETTINGS:
→ Pivot Sensitivity - Bars on each side to confirm a swing. Lower = more sensitive, more levels.
→ Merge Distance - How close two reactions must be (in ATR multiples) to merge into one level.
→ ATR Period - Period for volatility normalization (default 14).
MEMORY SETTINGS:
→ Decay Rate - Per-bar multiplier for heat decay. 0.992 = balanced default.
→ Heat Per Reaction - Base heat added per confirmed reaction. Modified by volume weighting.
→ Death Threshold - Minimum heat to survive. Below this, the level is removed.
→ Max Memory Slots - Maximum simultaneous levels tracked (default 20).
→ Min Hits to Display - Reactions required before a zone becomes visible (default 2).
→ Show Top N Levels - Maximum zones rendered on chart (default 8).
DETECTION SETTINGS:
→ Wick Rejections - Enable wick-based reaction detection (adds heat at half rate of pivots).
→ Min Wick Ratio - Required wick percentage for wick reactions (default 55%).
→ Volume-Weighted Heat - Weight reactions by relative volume.
→ Behavior Detection - Enable real-time pattern classification at zones.
→ Behavior Lookback - Bars analyzed for behavior patterns (default 3).
APPEARANCE SETTINGS:
→ Color Theme - Dark (purple to gold gradient), Light (gray to red), Classic S/R (green/red).
→ Zone Thickness - Visual height of zones as ATR fraction.
→ Glow Effect - Soft outer halo that intensifies near price.
→ Proximity Radius - Distance at which proximity effects activate.
LABEL SETTINGS:
→ Show Zone Labels - Toggle zone information labels.
→ Label Mode - Information density (Minimal, Standard, Detailed, Large).
→ Show Hit Count - Include reaction count in labels.
→ Show Relative Volume - Include volume multiplier in labels.
→ Reaction Dots - Show dots at exact reaction prices (off by default for chart clarity).
DASHBOARD SETTINGS:
→ Show Dashboard - Toggle the summary table.
→ Position - Screen position (8 options).
→ Text Size - Font size (Tiny, Small, Normal).
→ Rows - Number of levels shown in dashboard (default 5).
---
ALERTS
Three alert conditions are available:
"Price entered hot zone" - Triggers when price enters a high-heat zone with 3 or more hits and heat above 50% of maximum. Useful for monitoring approaches to significant levels.
"New behavior detected" - Triggers when a new behavior pattern (Rejection, Sweep, Break, Retest, Absorption) is classified at any visible level. Useful for real-time event notification.
"New reaction" - Triggers when a new pivot is confirmed. Useful for tracking all reaction events across all levels.
All alerts describe observed events. They do not predict future price movement or generate buy/sell signals.
---
IMPORTANT NOTES
RETROACTIVE ANCHORING:
Pivot-based levels are confirmed after the Pivot Sensitivity number of bars have passed. The level is drawn at the true swing bar but only becomes known after confirmation. This is standard pivot behavior used across all pivot-based indicators and does not constitute future data usage.
VOLUME DATA AVAILABILITY:
Some assets, particularly certain forex pairs, may not report volume data. When volume is unavailable, relative volume displays show "-" and volume weighting is automatically disabled. The indicator functions fully without volume data.
EARLY CHART BEHAVIOR:
Zones and behavior labels may be sparse early in chart history. The indicator needs sufficient bars to detect pivots, accumulate heat, and meet the minimum hit count. Allow at least 100 bars for the system to populate meaningfully.
PERFORMANCE:
Reaction dots (when enabled) are only rendered within the most recent 500 bars to maintain chart performance. All memory calculations remain unaffected regardless of dot visibility.
---
DISCLAIMER
This indicator is provided for educational and analytical purposes only. It visualizes historical price reaction zones and does not predict future price movement, generate buy/sell signals, or constitute financial advice.
Past reactions at specific price levels do not guarantee future behavior. Market conditions change and levels that held previously may fail in the future. Always conduct your own analysis, use proper risk management, and never risk more than you can afford to lose.
The author assumes no liability for any trading decisions made using this tool. Trading involves significant risk of loss. Use this indicator as one component of a comprehensive trading approach, not as a standalone decision-making system.
---
BullByte Indicator
Session Confluence Tracker [JOAT]Session Confluence Tracker
Introduction
The Session Confluence Tracker is an open-source overlay indicator that monitors the Asian, London, and New York trading sessions simultaneously, tracking each session's high and low, counting consecutive bullish or bearish sessions (streaks), detecting overstretch conditions, and identifying confluence zones where multiple sessions share overlapping price levels. It gives traders a structured view of how liquidity develops across the global trading day and where institutional interest is concentrating.
Built with Pine Script v6, the indicator uses custom types for session data, streak tracking, confluence zones, session momentum, session gaps, and session pivots.
Why This Indicator Exists
Session-based analysis is a cornerstone of institutional trading. Different sessions have distinct characteristics — the Asian session often establishes a range, London tends to break that range, and New York frequently continues or reverses the London move. However, most session indicators simply draw boxes around session times. This indicator goes further by:
Streak analysis: Counts how many consecutive sessions have been bullish or bearish, revealing directional persistence that simple session boxes cannot show
Overstretch detection: Compares the current session's range to its historical average. When a session extends significantly beyond its norm (configurable ratio, default 1.5x), it flags a potential exhaustion point
Confluence detection: Identifies price levels where two or more sessions share overlapping highs or lows within a configurable tolerance, highlighting zones of multi-session institutional agreement
Session momentum: Tracks the directional strength within each session, not just whether it closed up or down
Gap detection: Monitors gaps between session closes and opens, which often act as magnets for price
Core Components Explained
1. Multi-Session Tracking
The indicator tracks three configurable sessions with default times aligned to major global markets:
Asian Session: Default 1800-0300 (EST) — typically the lowest volatility, range-setting session
London Session: Default 0300-1130 (EST) — the highest volume session, often sets the daily direction
New York Session: Default 0800-1600 (EST) — overlaps with London for the most liquid period of the day
Each session is tracked independently with its own high, low, open, close, and volume data. Session boundaries are drawn as colored boxes on the chart, and session highs/lows extend as horizontal lines until the next session begins.
2. Streak Analysis
The streak engine counts consecutive bullish (close > open) or bearish (close < open) sessions for each market. This reveals directional persistence that is invisible on a standard chart:
if sessionClose > sessionOpen
streakData.bullCount += 1
streakData.bearCount := 0
else
streakData.bearCount += 1
streakData.bullCount := 0
When a streak reaches the minimum threshold (default 3 consecutive sessions), it is highlighted on the chart. Long streaks in a single direction often precede reversals, while the start of a new streak can confirm a trend change.
3. Overstretch Detection
Overstretch occurs when a session's range significantly exceeds its historical average. The indicator calculates the average session range over a lookback period and compares the current session's range against it:
Overstretch ratio >= 1.5x: The session has extended well beyond its norm — potential exhaustion
Overstretch ratio >= 2.0x: Extreme extension — high probability of mean reversion
Overstretch signals are plotted as markers above or below the session, giving traders a visual warning that the session may be running out of steam.
Chart showing three session boxes (Asian in purple, London in blue, New York in green) with streak counts displayed, overstretch markers on an extended London session, and confluence zones where session levels overlap
4. Confluence Zone Detection
When the high or low of one session falls within a configurable ATR-based tolerance of another session's high or low, the indicator identifies a confluence zone. These zones represent price levels where multiple sessions have found significant support or resistance:
tolerance = atrVal * confluenceTolerance
if math.abs(session1High - session2High) < tolerance
confluenceStrength += 1
Confluence zones are drawn as highlighted horizontal bands on the chart. The strength of the confluence (how many sessions agree) determines the visual intensity. A zone where all three sessions share a similar level is considered the strongest form of multi-session agreement.
5. Session Momentum and Gaps
Session momentum measures the directional conviction within each session using the relationship between the close and the session's range. A session that closes near its high has strong bullish momentum; one that closes near its low has strong bearish momentum.
Session gaps — the difference between one session's close and the next session's open — are tracked and visualized. These gaps often act as magnets, with price tending to fill them during the subsequent session.
Visual Elements
Session Boxes: Colored boxes marking each session's time range and price range
Session High/Low Lines: Horizontal lines extending from each session's extremes
Streak Labels: Counts displayed at session boundaries showing consecutive bullish/bearish sessions
Overstretch Markers: Warning signals when a session extends beyond its historical norm
Confluence Zones: Highlighted bands where multiple sessions share price levels
Session Gaps: Visual markers showing gaps between session close and next session open
Background Coloring: Subtle session-based background tinting
Dashboard: Real-time display of each session's status, streak counts, overstretch ratios, and confluence strength
Input Parameters
Session Settings:
Toggle each session (Asian, London, New York) independently
Custom session times for each market
Custom colors for each session
Streak Detection:
Min Streak Count (default 3): Minimum consecutive sessions to highlight
Overstretch Ratio (default 1.5): Threshold for overstretch detection
Confluence Detection:
Confluence Tolerance (ATR-based, default 0.5): How close session levels must be to count as confluent
Min Confluence Strength (default 2): Minimum number of agreeing sessions
Advanced Features:
Show Session Momentum, Volume Profile, Gaps, Pivots
Visual Settings:
Max Days Back (default 5): Limit historical session display for performance
Show Session Boxes, Dashboard, Glow Effects, Pulse Effects, Gradient Fill, Confluence Animation
Timezone selection
How to Use This Indicator
Step 1: At the start of your trading day, review the Asian session range. This range often defines the battlefield for London and New York. Note the Asian high and low as key levels.
Step 2: As London opens, watch for a break of the Asian range. A decisive break with volume often sets the daily direction. Check the streak count — if London has been bullish for 4+ consecutive sessions, be cautious of a reversal.
Step 3: Monitor overstretch conditions. If London extends 1.5x or more beyond its average range, the move may be exhausted. This is especially relevant if the overstretch occurs at a confluence zone.
Step 4: Look for confluence zones. A price level where the Asian high aligns with a previous London low is a zone of multi-session institutional interest. These levels often produce strong reactions.
Step 5: During New York, check for session gaps from the London close. Price frequently fills these gaps early in the New York session.
Step 6: Use the dashboard for a quick overview of all sessions, streaks, and confluence strength.
Dashboard view showing Asian, London, and New York session statistics including streak counts, overstretch ratios, momentum readings, and confluence strength score
Indicator Limitations
Session times are based on exchange time or a configurable timezone. Ensure your timezone setting matches your intended market hours.
Streak analysis requires sufficient historical data. On newly listed instruments or very high timeframes, streak counts may be limited.
Overstretch detection uses historical averages, which can be skewed by outlier sessions (e.g., major news events).
Confluence zones are based on proximity of session levels, not on the reason those levels formed. Not all confluences will produce reactions.
The indicator is most useful on intraday timeframes (1m to 1H) where session boundaries are meaningful. On daily or weekly charts, session tracking is less relevant.
Session overlap periods (London/New York) can produce complex price action that is harder to attribute to a single session.
Originality Statement
This indicator is original in its multi-session analytical framework. While session boxes and session high/low indicators exist, this indicator is justified because:
Streak analysis across multiple sessions provides a directional persistence metric not available in standard session tools
Overstretch detection compares current session range to historical norms, adding a statistical dimension to session analysis
Multi-session confluence detection identifies price levels where institutional interest from different global markets converges
Session momentum tracking quantifies the directional conviction within each session, going beyond simple bullish/bearish classification
Gap tracking between sessions highlights potential price magnets that standard session indicators ignore
The unified dashboard presents all three sessions' metrics simultaneously for rapid cross-session analysis
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Session analysis is a framework for understanding market structure across time zones, not a guarantee of future price movement. Always use proper risk management. The author is not responsible for any losses incurred from using this indicator.
-Made with passion by officialjackofalltrades
Indicator
Sessions + [Interakktive]Sessions + is a multi-layer session intelligence indicator that maps the trading day's structure across three analytical layers: institutional levels, ICT concepts, and real-time analytics. It combines session detection, a full hierarchy of reference levels from hourly to quarterly, killzone effectiveness grading, Power of 3 phase detection, CBDR expansion targets, a live VWAP-based DNA predictor, anomaly monitoring, and an adaptive plain-English dashboard into a single overlay.
The indicator works across all asset classes — crypto, forex, stocks, indices, and commodities — with automatic asset class detection that adjusts which sessions and analytics are relevant. On intraday timeframes it provides full session intelligence. On daily, weekly, and monthly charts it automatically pivots to showing institutional reference levels and an adaptive dashboard that tells you where price sits relative to yesterday, the weekly range, and the monthly structure. No competitor session indicator adapts across timeframes like this.
Sessions + is a context tool, not a signal generator. It does not issue buy or sell signals. It answers the question every session trader asks before placing a trade: "Where am I in the trading day, and is this session worth trading?" Like all technical analysis, it works best when combined with proper risk management and the trader's own judgment.
⚙️ **The Dashboard**
The dashboard synthesizes all active intelligence into a plain-English panel. Every row shows a narrative — not raw numbers. "Strong Bearish — Ranging" instead of "-0.45". "Range Exhausted" instead of "82%". "NY likely bullish" instead of "65% cont".
Six views control density: Off, Minimal (session + verdict), Status (adds killzone grades, timing, bias, ADR, activity), Trade (adds PO3, energy, projections), Analytics (adds DNA, flow, range, efficiency, anomalies), and Full (everything). Each progressive view includes the rows from previous views so context is never lost.
The verdict row combines directional bias with regime classification into a single answer: "Leaning Bullish — Trending", "No Clear Edge — Ranging", "Strong Bearish — Volatile". One glance, one decision.
*Dashboard in Full mode on BTCUSD 15m: plain-English intelligence across every row — verdict with regime, killzone grades (LDN:A, LC:A), PO3 phase, DNA live read, inter-session flow, anomaly detection with warning. Session boxes and VWAP provide chart context behind the panel.*
⚙️ **Levels Layer — Institutional Reference Lines**
Sessions + provides a complete hierarchy of institutional reference levels, each with visual weight that scales with timeframe importance:
Previous Hour High/Low (PHH/PHL) — dotted micro-levels for intraday scalping. Previous Day High/Low/Close (PDH/PDL/PDC) — the daily framework that institutional traders watch for liquidity grabs. Previous Week High/Low (PWH/PWL) — swing-level institutional references where weekly liquidity rests. Previous Month and Quarter High/Low (PMH/PML/PQH/PQL) — the heavyweight levels where hedge funds and central banks operate.
Additional level features include: ADR Projection Levels (expected daily high/low from the midnight open), Opening Range (the first N minutes' range as a breakout reference with a clearly filled box), Session VWAP (institutional volume-weighted benchmark per session), and Session Equilibrium (the 50% midpoint of each session's range — a magnet for retracements). Every level label includes a tooltip explaining why it matters and how to use it.
*Levels Layer on BTCUSD 15m: institutional levels from hourly through weekly — PDH, PDC, PWH (heavier line weight), ADR High/Low projections, Session Equilibrium (dashed), Opening Range, and VWAP line. Labels on the right edge show level names and prices. Visual weight increases with timeframe importance.*
⚙️ **ICT Layer — Killzones, Power of 3, and CBDR**
The ICT Layer implements key Inner Circle Trader concepts with intelligence features that go beyond static time boxes.
Killzones highlight four high-probability time windows (Asian, London Open, NY AM, London Close) with individual toggles and configurable times. Each killzone is graded A+ through D based on its historical reversal success rate and move quality on the specific instrument — a feature not found in other session indicators. Grades update as data accumulates, helping traders focus on the killzones that actually work for the asset they are trading.
Power of 3 Detection divides the selected session into three institutional phases — Accumulation (range building), Manipulation (false break), and Distribution (true directional move). Rather than floating labels above candles, the phases are shown as zones inside the session box with vertical dividers and phase names at the bottom, creating a clear visual narrative of how the session developed.
CBDR Projections (Central Bank Dealers Range) calculate the range formed during 20:00–00:00 UTC and project 1x and 2x expansion targets above and below. The 2x target is drawn with heavier line weight — this is where the real daily move often reaches.
Additional ICT features include Silver Bullet windows (AM and PM reversal windows), Macro Times (5-minute reversal windows at key NY times), Midnight Open (00:00 UTC true day open), and Weekly Open (Monday's opening price as a bias reference).
*ICT Layer on EURUSD 15m: CBDR expansion targets (cyan lines — 1x dashed, 2x solid), killzone backgrounds with effectiveness grades (London Open A, London Close C), Silver Bullet window (green), Midnight Open reference line, and PO3 Distribution label. Dashboard in Status view shows KZ Grades and Silver Bullet Grades.*
⚙️ **Analytics Layer — Session DNA, Flow, and Anomaly Detection**
The Analytics Layer provides intelligence features that help traders evaluate session quality in real time.
Session DNA is a live VWAP-based predictor that tracks where price sits relative to the session's Volume-Weighted Average Price. Each session gets a narrative box below it that builds as the session develops: "Bull" means price has stayed above VWAP, "Bear - Bull" means it started bearish then flipped bullish, "Bear - Neutral - Bull" tells a choppy reversal story. The narrative uses a 5-bar confirmation filter and caps at 4 entries to prevent noise. Previous session DNA can be toggled on to see the historical track record.
Inter-Session Flow tracks whether London tends to continue or reverse Asian's direction, and whether NY follows London. The dashboard shows this as a plain-English prediction: "NY likely bullish" or "NY may reverse" — combining the historical continuation rate with the current session's actual direction.
Anomaly Detection monitors six types of unusual conditions in real time: range anomalies (session range far from normal), volatility spikes, timing anomalies (high/low at unusual phases), inter-session gaps, flow contradictions (direction against history), and ADR consumption rate. When anomalies fire, chart markers appear with tooltips explaining what to expect and how to adjust risk management.
Additional analytics include Session Score (a 0-100 energy rating answering "is this session worth trading?"), Regime Detection (classifying the market as Trending, Ranging, Volatile, or Dead — merged into the dashboard verdict), and Efficiency tracking.
*Analytics Layer on XAUUSD 15m: Session DNA narrative boxes below each session — "Bear - Bull" shows the Asian session started bearish then flipped bullish, "Bear" shows the current London session is bearish. Dashboard in Analytics view shows DNA (Live), Flow prediction ("NY likely bearish"), Range ("Compressed"), Efficiency ("Choppy"), and Anomaly status.*
⚙️ **Multi-Timeframe Adaptivity**
Sessions + automatically adapts its behavior based on the chart timeframe. This is not a feature you toggle — it happens intelligently.
On sub-hourly timeframes (1m through 45m): full session experience with boxes, labels, DNA, killzones, all levels, and the complete dashboard.
On hourly timeframes (1H through 4H): session boxes remain but session labels are suppressed to prevent clutter. Killzones and sub-hourly features are disabled. The dashboard shows session context without granular details.
On daily and higher timeframes: session boxes are completely hidden. The indicator pivots to institutional reference levels — PDH/PDL, PWH/PWL, PMH/PML, PQH/PQL, and ADR projections. The dashboard adapts its rows to show higher-timeframe context: "Below Yesterday's Close", "Near Weekly High", "Mid Monthly Range". This means traders can keep Sessions + on their chart across all timeframes without it breaking or showing meaningless data.
*Daily chart on BTCUSD: Sessions + automatically shows institutional levels only — PMH (79356), PML (60072, red), PDH/PDC (dashed), ADR High/Low projections. No session boxes, no intraday clutter. Dashboard shows higher-timeframe context: Verdict "Ranging", vs Yesterday, Weekly position, Monthly position, and ADR status.*
⚙️ **Alert System**
Sessions + provides 39 alert conditions through PulseWire's built-in alert system. All conditions are always active — traders choose which to enable through PulseWire's alert dialog. Conditions include: session start/end events, killzone activations, ADR exhaustion, anomaly detection, regime changes, PO3 phase transitions, Silver Bullet window events, and more.
⚙️ **Settings and Customization**
The indicator has approximately 70 configurable inputs organized into clear groups: Main Settings (asset class, history, lookback), Session Config (times, box style, early/extended detection), Levels Layer (each level type individually toggleable), ICT Layer (each concept independently controlled with individual killzone toggles), Analytics Layer (DNA, regime, flow, score, anomaly), Display (dashboard view, position, size, labels), and Colors (every element customizable). Every non-color input includes a tooltip explaining what it does and why it matters.
⚠️ **Limitations and Honest Caveats**
Sessions + is a technical analysis tool with inherent limitations:
No indicator predicts the future. Session DNA, flow analysis, and regime detection are based on historical patterns and VWAP positioning — they provide probabilistic context, not certainty. Past session behavior does not guarantee future performance. The indicator is designed for intraday and swing trading on liquid markets. On illiquid instruments or during holidays, session behavior may be abnormal and analytics less reliable. Killzone effectiveness grades need sufficient historical data to stabilize — expect "Building data..." for the first several sessions. Anomaly detection sensitivity affects how many markers appear — higher sensitivity means more alerts, some of which may be noise. Session times use forex convention by default (UTC-based). Stock traders should note that the Asian session box covers Tokyo hours, not US pre-market. ADR projections assume symmetric distribution from the midnight open, which is a simplification — markets often have directional bias. The indicator uses 7 request.security calls (well within limits) but traders running multiple multi-timeframe indicators should be aware of potential resource constraints.
⚠️ **Risk Disclaimer**
All content, tools, scripts, and educational material provided are purely for informational and educational purposes. This indicator does not constitute financial, investment, or trading advice. Trading involves substantial risk of loss. Past performance and historical analysis do not guarantee future results. Users are solely responsible for their own trading decisions. Always conduct your own due diligence and consult a qualified financial advisor before making investment decisions.
Indicator
Viprasol Multi-Timeframe Trend Signal EngineOverview
The Multi-Timeframe Trend Signal Engine is a comprehensive overlay indicator that combines SuperTrend signals, a 5-EMA trend ribbon, EMA cloud, chaos trend line, order blocks, and an RSI-based take profit system with a 6-timeframe ADX trend dashboard. The core system — originally developed by Zakaria Safri — is a mature, feature-rich trading toolkit. This version adds a confluence quantification layer that transforms the dashboard's six independent timeframe readings into a single scored consensus metric, turning passive multi-timeframe observation into an actionable alignment signal.
How It Works
SuperTrend Signal Engine:
A custom SuperTrend calculation generates buy and sell signals using ATR-based dynamic bands. All signals require bar-close confirmation to prevent repainting on confirmed bars. Two modes are available: "All Signals" shows every crossover, while "Filtered Signals" adds an EMA gate requiring price to be above (for buys) or below (for sells) the main EMA before a signal qualifies.
Multi-Timeframe ADX Dashboard:
The indicator fetches ADX trend quality from six timeframes (5m, 15m, 1H, 4H, 12H, Daily) using an anti-repaint security pattern (previous bar value with lookahead — confirmed bars only). Each timeframe is classified as Bullish, Bearish, or Neutral based on an adaptive threshold derived from the median ADX value multiplied by a configurable factor. This means trend classification adjusts to the instrument's own volatility regime rather than relying on fixed levels.
MTF Confluence Score (Viprasol Addition):
The six individual timeframe trend readings are aggregated into a Confluence Score ranging from 0 to 6. The score counts how many timeframes currently show a bullish ADX trend. A separate bear confluence count tracks bearish alignment independently. The score is color-coded in the dashboard: green at 5-6 (strong bullish consensus), yellow at 3-4 (mixed), red at 0-2 (weak or bearish-dominant). This transforms what would otherwise be six separate readings requiring manual interpretation into a single quantified alignment metric. Two dedicated alert conditions fire when 5 or more timeframes agree on direction, providing automated detection of high-confluence setups.
Trend Ribbon:
Five EMAs (20, 25, 35, 45, 55) form a color-coded ribbon. The ribbon is bullish when the fastest EMA leads and bearish when it trails, shifting state on crossover. It provides a visual trend context layer independent of the SuperTrend signal system.
EMA Cloud:
A 150/250 EMA cloud identifies longer-term structural trend direction. Green fill indicates bullish structure, red fill indicates bearish structure. This serves as a backdrop for assessing whether shorter-term signals align with the broader trend.
Chaos Trend Line:
An adaptive trend line using pivot-based detection with ATR channels. It tracks the prevailing trend using highest and lowest pivot levels and changes color on confirmed reversals, providing another independent trend perspective.
Order Blocks:
Structural order blocks based on pivot break-of-structure logic. Bullish order blocks form at swing lows when higher highs break structure; bearish order blocks form at swing highs when lower lows break structure. Boxes fade when price tests them and are removed when fully invalidated.
RSI Take Profit System:
A sequential TP system using RSI crossovers at configurable levels (default 70/85/100 for bullish, 30/15/5 for bearish). Each TP level only fires after the previous one has triggered within the current signal cycle, creating a staged exit framework. TP1 must trigger before TP2 becomes active, and TP2 before TP3.
Reversal Signals:
A 25-period RSI-based reversal detector that fires when RSI crosses above the oversold level or below the overbought level, using bar-close confirmation.
Risk Management Lines:
Visual-only TP and SL lines plotted relative to entry price. These are for reference only and do not execute trades.
Key Features
- SuperTrend buy/sell signals with bar-close confirmation (no repainting on confirmed bars)
- Two signal modes: All Signals and EMA-Filtered Signals
- 6-timeframe ADX trend dashboard (5m, 15m, 1H, 4H, 12H, Daily)
- MTF Confluence Score (0-6) quantifying multi-timeframe bullish/bearish alignment
- 5-EMA trend ribbon with directional color coding
- EMA 150/250 cloud for structural trend context
- Adaptive chaos trend line with pivot-based detection
- Structural order blocks with fade-on-test and auto-invalidation
- RSI-based sequential take profit system (TP1, TP2, TP3)
- Visual TP/SL risk management lines
- RSI reversal signals at extreme levels
- Channel breakout levels from pivot highs and lows
- Three candle coloring modes (Scalper RSI, Trend Ribbon, EMA Direction)
- RSI background zones for overbought/oversold visualization
- Configurable dashboard position and font size
- All visual elements individually toggleable
- 10 alert conditions with dynamic messages
How to Use
Reading the Dashboard:
Start with the MTF Confluence Score. A score of 5-6 out of 6 indicates strong multi-timeframe bullish alignment — the majority of timeframes from 5-minute through Daily are trending in the same direction. A score of 0-1 indicates strong bearish alignment. Scores of 3-4 represent mixed conditions where caution is warranted. The individual timeframe rows below the score show exactly where agreement and disagreement exist, letting you identify which timeframes are diverging.
Signal Workflow:
Use "Filtered Signals" mode for higher-quality entries that align with the main EMA direction. Use "All Signals" mode when you want to capture more frequent opportunities in ranging or transitional markets. Reversal signals (purple labels) flag potential exhaustion at RSI extremes. The sequential TP markers (TP1, TP2, TP3) provide staged exit targets based on RSI momentum progression.
Combining Confluence with Signals:
The confluence score is most valuable as a directional filter. A buy signal firing when the confluence score is 5 or 6 carries more weight than one firing at a score of 2. Similarly, a sell signal at confluence 0 or 1 has stronger multi-timeframe backing. This is the core analytical addition — rather than visually scanning six rows, you get a single number that quantifies alignment strength.
Suggested Starting Points:
- Scalping (1m-5m): Sensitivity 2.0, ATR Factor 8, Filtered mode
- Intraday (15m-1H): Sensitivity 2.5, ATR Factor 11, All Signals mode
- Swing (4H-1D): Sensitivity 3.0, ATR Factor 14, Filtered mode
Settings
Main Settings — Sensitivity (controls signal frequency), Signal Mode (All or Filtered), ATR Factor (band width)
Trend Settings — Toggle trend ribbon, EMA cloud, chaos trend line, order blocks; configurable main EMA period
Signal Settings — Show/hide buy-sell signals, candle coloring mode selection, RSI background zones, channel breakouts
Dashboard Settings — Show/hide dashboard, position selection, font size
Risk Management — Visual-only TP/SL lines, TP strength multiplier, individual TP level toggles
Alerts
1. Buy Signal — SuperTrend crossover buy confirmed at bar close
2. Sell Signal — SuperTrend crossover sell confirmed at bar close
3. Filtered Buy — Buy signal with price above main EMA
4. Filtered Sell — Sell signal with price below main EMA
5. Reversal Up — RSI crosses above oversold level
6. Reversal Down — RSI crosses below overbought level
7. Ribbon Turned Bullish — EMA ribbon state change to bullish (edge-detected, fires once on crossover bar)
8. Ribbon Turned Bearish — EMA ribbon state change to bearish (edge-detected, fires once on crossover bar)
9. Strong Bullish MTF Alignment — 5+ of 6 timeframes showing bullish ADX trend
10. Strong Bearish MTF Alignment — 5+ of 6 timeframes showing bearish ADX trend
All alerts include dynamic message variables: {{ticker}}, {{close}}, and {{interval}}.
Limitations & Disclaimer
- MTF data uses the anti-repaint pattern (previous bar value with lookahead) to avoid repainting on confirmed bars. The current bar's data updates in real-time until that bar closes.
- ADX trend classification uses an adaptive threshold (median ADX multiplied by a configurable factor). "Neutral" readings are relative to the instrument's recent volatility, not fixed levels. This means the same ADX value may be classified differently across instruments or time periods.
- The RSI TP system is sequential — TP2 only becomes active after TP1 fires, and TP3 after TP2. If TP1 never triggers during a signal cycle, later levels will not fire.
- Order blocks use a simplified break-of-structure method based on 3-bar pivots. They are structural levels, not institutional order flow data.
- The Risk Management TP/SL lines are visual references only — they do not place or manage trades.
- This indicator is for educational and analytical purposes only. It is not financial advice. Always use proper risk management and validate signals with your own analysis. Test on a demo account before live trading.
Credits & Attribution
This script is derived from "Multi-Timeframe Trend Indicator with Signals" v4.4 by Zakaria Safri. The original is a substantial, feature-rich indicator that provides the SuperTrend signal engine, 5-EMA trend ribbon, EMA cloud, chaos trend line, 6-timeframe ADX dashboard, order block detection, RSI sequential take profit system, TP/SL risk management lines, reversal signals, channel breakout levels, three candle coloring modes, volatility measurement, and 8 alert conditions. The vast majority of the analytical logic in this script is Zakaria Safri's work.
Viprasol's additions: MTF Confluence Score (aggregating 6 timeframe readings into a 0-6 quantified alignment metric with color coding), separate bear confluence tracking, MTF alignment alerts (firing at 5+ timeframe agreement), and ribbon trend change alerts using edge detection for single-bar precision. These additions layer a confluence quantification system on top of the original's multi-timeframe dashboard.
Published open-source per PulseWire House Rules governing derivative works of open-source scripts. Indicator
Bot Webhook v8.4 [SOL]Bot Webhook v8.4 - Optimized Multi-Timeframe Signal Generator
========================================
ENGLISH
========================================
Data-driven signal generation for SOL/USD with timeframe-specific filters (30S-20m), Keltner Squeeze Detection and Volatility Regime Recognition. Optimized from 136 signals + 9406 1m candles.
OVERVIEW
This script is the SOL/USD-specific version of Bot Webhook v8.4. It generates Long and Short signals with a confidence score and sends them as JSON alerts to a webhook endpoint. The symbol "SOLUSD" is hardcoded in the alert - ideal for use with an automated trading bot.
Base: v7.3 TF-specific filters (proven) + v8.0 Keltner/Regime (Squeeze SHORT only)
SIGNAL LOGIC
LONG Signals (v7.3 Base):
- RSI < TF-specific threshold (Oversold)
- Stochastic K < TF-specific threshold
- RSI Slope > TF-specific threshold (Momentum reversal)
- ADX < TF-specific threshold (no excessive counter-trend)
- Proven performance: 68.2% $20-rate, R/R 1.48x
SHORT Signals (v7.3 Base + Keltner Squeeze):
- RSI > TF-specific threshold (Overbought)
- Stochastic K > TF-specific threshold
- RSI Slope < TF-specific threshold (Momentum reversal)
- Squeeze SHORT: Bollinger inside Keltner + bearish momentum
- Proven performance: 53.8% $20-rate, R/R 1.39x (Squeeze)
INDICATORS
- EMA 20/50/200 (Trend detection + filter)
- RSI 14 + RSI Slope (Momentum + direction change)
- Stochastic RSI (Overbought/Oversold conditions)
- MACD 12/26/9 (Momentum confirmation)
- Bollinger Bands 20/2.0 (Volatility + Squeeze Detection)
- Keltner Channel 20/1.5 (Squeeze Detection)
- ADX 14 (Trend strength)
- ATR 14 (Stop Loss / Take Profit calculation)
- Volume SMA 20 (Volume confirmation)
REGIME DETECTION
Trend Regime (EMA-based):
- STRONG_TREND_UP / STRONG_TREND_DOWN
- WEAK_TREND_UP (BLOCKED - 0% success rate!)
- WEAK_TREND_DOWN / NEUTRAL
Volatility Regime (ADX + ATR Percentile):
- TRENDING_HIGH_VOL / TRENDING_LOW_VOL
- SQUEEZE_BUILDING / BREAKOUT_IMMINENT
- RANGING_HIGH_VOL / RANGING_LOW_VOL
- TRANSITIONAL
CONFIDENCE CALCULATION
Base confidence from verified win rates per timeframe (0.72-0.92)
Modifiers:
+ Extreme RSI/StochK values (+0.03 to +0.05)
+ Trending High Vol Regime (+0.04)
- Ranging High Vol Regime (-0.08)
- Squeeze Building (-0.03)
- Counter-trend (-0.10)
- Low Volume (-0.05)
Min. confidence for alert: 70% (adjustable)
STOP LOSS / TAKE PROFIT
Base trades: ATR x 1.5 (SL) / ATR x 2.5 (TP) = R/R 1:1.67
Squeeze trades: ATR x 1.2 (SL) / ATR x 3.0 (TP) = R/R 1:2.5
TIMEFRAMES
Supported: 30S, 45S, 1m-20m (each with individually optimized thresholds)
Best TFs: 30S (47.1%), 45S (34.8%), 12m+ (33%+)
4m: LONG + SHORT disabled (no data)
WEBHOOK ALERT FORMAT (JSON)
{"signal":"long/short", "symbol":"SOLUSD", "timeframe":"...", "price":..., "source":"Bot_Webhook_v84", "confidence":..., "metadata":{"entry":..., "stop_loss":..., "take_profit":..., "atr":..., "adx":..., "rsi":..., "rsi_slope":..., "stoch_k":..., "signal_type":"...", "strategy":"...", "regime":"...", "vol_regime":"...", "expected_wr":"..."}}
SETUP
1. Apply script to SOLUSDT/SOLUSD chart
2. Select desired timeframe (30S-20m)
3. Create alert and enter webhook URL
4. Create a separate alert for each timeframe
Other versions available: ETH, BTC
AUTOMATED TRADING BOT
Want to automate these signals? A fully automated trading bot is available that processes the webhook alerts from this script and executes trades automatically - including risk management, position sizing, regime filtering and smart signal validation.
- Full bot with live trading or paper trading mode
- Processes all signals from this indicator automatically
- Built-in risk management with ATR-based SL/TP
- Multi-timeframe support (30S-20m)
More info: futuresbot.de
Or send me a direct message here on PulseWire!
DISCLAIMER: This strategy is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management.
========================================
DEUTSCH
========================================
Datengetriebene Signalgenerierung fuer SOL/USD mit TF-spezifischen Filtern (30S-20m), Keltner-Squeeze-Detection und Volatility-Regime-Erkennung. Optimiert aus 136 Signalen + 9406 1m-Candles.
UEBERBLICK
Dieses Script ist die SOL/USD-spezifische Version des Bot Webhook v8.4. Es generiert Long- und Short-Signale mit Confidence-Score und sendet diese als JSON-Alert an einen Webhook-Endpunkt. Das Symbol "SOLUSD" ist fest im Alert eingebettet - ideal fuer den Einsatz mit einem automatisierten Trading-Bot.
Basis: v7.3 TF-spezifische Filter (bewaehrt) + v8.0 Keltner/Regime (nur Squeeze SHORT)
TIMEFRAMES
Unterstuetzt: 30S, 45S, 1m-20m (alle mit eigenen optimierten Schwellenwerten)
Beste TFs: 30S (47.1%), 45S (34.8%), 12m+ (33%+)
4m: LONG + SHORT deaktiviert (keine Daten)
SETUP
1. Script auf SOLUSDT/SOLUSD Chart anwenden
2. Gewuenschten Timeframe waehlen (30S-20m)
3. Alert erstellen und Webhook-URL eintragen
4. Fuer jeden Timeframe einen separaten Alert erstellen
Weitere Versionen verfuegbar: ETH, BTC
AUTOMATISIERTER TRADING-BOT
Du moechtest diese Signale automatisieren? Es gibt einen vollautomatischen Trading-Bot, der die Webhook-Alerts dieses Scripts verarbeitet und Trades automatisch ausfuehrt - inklusive Risikomanagement, Positionsgroesse, Regime-Filterung und smarter Signal-Validierung.
- Kompletter Bot mit Live-Trading oder Paper-Trading-Modus
- Verarbeitet alle Signale dieses Indikators automatisch
- Integriertes Risikomanagement mit ATR-basiertem SL/TP
- Multi-Timeframe-Unterstuetzung (30S-20m)
Mehr Infos: futuresbot.de
Oder schreib mir eine persoenliche Nachricht hier auf PulseWire!
HAFTUNGSAUSSCHLUSS: Diese Strategie dient zu Bildungszwecken. Vergangene Performance garantiert keine zukuenftigen Ergebnisse. Nutze stets ein angemessenes Risikomanagement. Indicator
Bot Webhook v8.4 [BTC]Bot Webhook v8.4 - Optimized Multi-Timeframe Signal Generator
========================================
ENGLISH (EN)
========================================
Data-driven signal generation for BTC/USD with timeframe-specific filters (30S-20m), Keltner Squeeze Detection and Volatility Regime Recognition. Optimized from 136 signals + 9406 1m candles.
OVERVIEW
This script is the BTC/USD-specific version of Bot Webhook v8.4. It generates Long and Short signals with a confidence score and sends them as JSON alerts to a webhook endpoint. The symbol "BTCUSD" is hardcoded in the alert - ideal for use with an automated trading bot.
Base: v7.3 TF-specific filters (proven) + v8.0 Keltner/Regime (Squeeze SHORT only)
SIGNAL LOGIC
LONG Signals (v7.3 Base):
- RSI < TF-specific threshold (Oversold)
- Stochastic K < TF-specific threshold
- RSI Slope > TF-specific threshold (Momentum reversal)
- ADX < TF-specific threshold (no excessive counter-trend)
- Proven performance: 68.2% $20-rate, R/R 1.48x
SHORT Signals (v7.3 Base + Keltner Squeeze):
- RSI > TF-specific threshold (Overbought)
- Stochastic K > TF-specific threshold
- RSI Slope < TF-specific threshold (Momentum reversal)
- Squeeze SHORT: Bollinger inside Keltner + bearish momentum
- Proven performance: 53.8% $20-rate, R/R 1.39x (Squeeze)
INDICATORS
- EMA 20/50/200 (Trend detection + filter)
- RSI 14 + RSI Slope (Momentum + direction change)
- Stochastic RSI (Overbought/Oversold conditions)
- MACD 12/26/9 (Momentum confirmation)
- Bollinger Bands 20/2.0 (Volatility + Squeeze Detection)
- Keltner Channel 20/1.5 (Squeeze Detection)
- ADX 14 (Trend strength)
- ATR 14 (Stop Loss / Take Profit calculation)
- Volume SMA 20 (Volume confirmation)
REGIME DETECTION
Trend Regime (EMA-based):
- STRONG_TREND_UP / STRONG_TREND_DOWN
- WEAK_TREND_UP (BLOCKED - 0% success rate!)
- WEAK_TREND_DOWN / NEUTRAL
Volatility Regime (ADX + ATR Percentile):
- TRENDING_HIGH_VOL / TRENDING_LOW_VOL
- SQUEEZE_BUILDING / BREAKOUT_IMMINENT
- RANGING_HIGH_VOL / RANGING_LOW_VOL
- TRANSITIONAL
CONFIDENCE CALCULATION
Base confidence from verified win rates per timeframe (0.72-0.92)
Modifiers:
+ Extreme RSI/StochK values (+0.03 to +0.05)
+ Trending High Vol Regime (+0.04)
- Ranging High Vol Regime (-0.08)
- Squeeze Building (-0.03)
- Counter-trend (-0.10)
- Low Volume (-0.05)
Min. confidence for alert: 70% (adjustable)
STOP LOSS / TAKE PROFIT
Base trades: ATR x 1.5 (SL) / ATR x 2.5 (TP) = R/R 1:1.67
Squeeze trades: ATR x 1.2 (SL) / ATR x 3.0 (TP) = R/R 1:2.5
TIMEFRAMES
Supported: 30S, 45S, 1m-20m (each with individually optimized thresholds)
Best TFs: 30S (47.1%), 45S (34.8%), 12m+ (33%+)
4m: LONG + SHORT disabled (no data)
WEBHOOK ALERT FORMAT (JSON)
{"signal":"long/short", "symbol":"BTCUSD", "timeframe":"...", "price":..., "source":"Bot_Webhook_v84", "confidence":..., "metadata":{"entry":..., "stop_loss":..., "take_profit":..., "atr":..., "adx":..., "rsi":..., "rsi_slope":..., "stoch_k":..., "signal_type":"...", "strategy":"...", "regime":"...", "vol_regime":"...", "expected_wr":"..."}}
SETUP
1. Apply script to BTCUSDT/BTCUSD chart
2. Select desired timeframe (30S-20m)
3. Create alert and enter webhook URL
4. Create a separate alert for each timeframe
Other versions available: ETH, SOL
AUTOMATED TRADING BOT
Want to automate these signals? A fully automated trading bot is available that processes the webhook alerts from this script and executes trades automatically - including risk management, position sizing, regime filtering and smart signal validation.
- Full bot with live trading or paper trading mode
- Processes all signals from this indicator automatically
- Built-in risk management with ATR-based SL/TP
- Multi-timeframe support (30S-20m)
More info: futuresbot.de
Or send me a direct message here on PulseWire!
DISCLAIMER: This strategy is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management.
========================================
DEUTSCH (DE)
========================================
Datengetriebene Signalgenerierung fuer BTC/USD mit TF-spezifischen Filtern (30S-20m), Keltner-Squeeze-Detection und Volatility-Regime-Erkennung. Optimiert aus 136 Signalen + 9406 1m-Candles.
UEBERBLICK
Dieses Script ist die BTC/USD-spezifische Version des Bot Webhook v8.4. Es generiert Long- und Short-Signale mit Confidence-Score und sendet diese als JSON-Alert an einen Webhook-Endpunkt. Das Symbol "BTCUSD" ist fest im Alert eingebettet - ideal fuer den Einsatz mit einem automatisierten Trading-Bot.
Basis: v7.3 TF-spezifische Filter (bewaehrt) + v8.0 Keltner/Regime (nur Squeeze SHORT)
SETUP
1. Script auf BTCUSDT/BTCUSD Chart anwenden
2. Gewuenschten Timeframe waehlen (30S-20m)
3. Alert erstellen und Webhook-URL eintragen
4. Fuer jeden Timeframe einen separaten Alert erstellen
Weitere Versionen verfuegbar: ETH, SOL
AUTOMATISIERTER TRADING-BOT
Du moechtest diese Signale automatisieren? Es gibt einen vollautomatischen Trading-Bot, der die Webhook-Alerts dieses Scripts verarbeitet und Trades automatisch ausfuehrt - inklusive Risikomanagement, Positionsgroesse, Regime-Filterung und smarter Signal-Validierung.
- Kompletter Bot mit Live-Trading oder Paper-Trading-Modus
- Verarbeitet alle Signale dieses Indikators automatisch
- Integriertes Risikomanagement mit ATR-basiertem SL/TP
- Multi-Timeframe-Unterstuetzung (30S-20m)
Mehr Infos: futuresbot.de
Oder schreib mir eine persoenliche Nachricht hier auf PulseWire!
HAFTUNGSAUSSCHLUSS: Diese Strategie dient zu Bildungszwecken. Vergangene Performance garantiert keine zukuenftigen Ergebnisse. Nutze stets ein angemessenes Risikomanagement.
Indicator
Bot Webhook v8.4 [ETH]Bot Webhook v8.4 - Optimized Multi-Timeframe Signal Generator
Data-driven signal generation for ETH/USD with timeframe-specific filters (30S-20m), Keltner Squeeze Detection and Volatility Regime Recognition. Optimized from 136 signals + 9406 1m candles.
Datengetriebene Signalgenerierung fuer ETH/USD mit TF-spezifischen Filtern (30S-20m), Keltner-Squeeze-Detection und Volatility-Regime-Erkennung. Optimiert aus 136 Signalen + 9406 1m-Candles.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OVERVIEW / UEBERBLICK
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
This script is the ETH/USD-specific version of Bot Webhook v8.4. It generates Long and Short signals with a confidence score and sends them as JSON alerts to a webhook endpoint. The symbol "ETHUSD" is hardcoded in the alert - ideal for use with an automated trading bot.
Dieses Script ist die ETH/USD-spezifische Version des Bot Webhook v8.4. Es generiert Long- und Short-Signale mit Confidence-Score und sendet diese als JSON-Alert an einen Webhook-Endpunkt. Das Symbol "ETHUSD" ist fest im Alert eingebettet - ideal fuer den Einsatz mit einem automatisierten Trading-Bot.
Base: v7.3 TF-specific filters (proven) + v8.0 Keltner/Regime (Squeeze SHORT only)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SIGNAL LOGIC / SIGNAL-LOGIK
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
LONG Signals (v7.3 Base):
- RSI < TF-specific threshold (Oversold)
- Stochastic K < TF-specific threshold
- RSI Slope > TF-specific threshold (Momentum reversal / Momentum-Wende)
- ADX < TF-specific threshold (no excessive counter-trend / kein ueberstarker Gegentrend)
- Proven performance: 68.2% $20-rate, R/R 1.48x
SHORT Signals (v7.3 Base + Keltner Squeeze):
- RSI > TF-specific threshold (Overbought)
- Stochastic K > TF-specific threshold
- RSI Slope < TF-specific threshold (Momentum reversal / Momentum-Wende)
- Squeeze SHORT: Bollinger inside Keltner + bearish momentum
- Proven performance: 53.8% $20-rate, R/R 1.39x (Squeeze)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
INDICATORS / INDIKATOREN
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- EMA 20/50/200 (Trend detection + filter / Trend-Erkennung + Filter)
- RSI 14 + RSI Slope (Momentum + direction change / Richtungswechsel)
- Stochastic RSI (Overbought/Oversold conditions)
- MACD 12/26/9 (Momentum confirmation / Momentum-Bestaetigung)
- Bollinger Bands 20/2.0 (Volatility + Squeeze Detection)
- Keltner Channel 20/1.5 (Squeeze Detection)
- ADX 14 (Trend strength / Trendstaerke)
- ATR 14 (Stop Loss / Take Profit calculation)
- Volume SMA 20 (Volume confirmation / Volumen-Bestaetigung)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
REGIME DETECTION / REGIME-ERKENNUNG
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Trend Regime (EMA-based):
- STRONG_TREND_UP / STRONG_TREND_DOWN
- WEAK_TREND_UP (BLOCKED - 0% success rate! / BLOCKIERT - 0% Erfolgsrate!)
- WEAK_TREND_DOWN / NEUTRAL
Volatility Regime (ADX + ATR Percentile):
- TRENDING_HIGH_VOL / TRENDING_LOW_VOL
- SQUEEZE_BUILDING / BREAKOUT_IMMINENT
- RANGING_HIGH_VOL / RANGING_LOW_VOL
- TRANSITIONAL
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
CONFIDENCE CALCULATION / CONFIDENCE-BERECHNUNG
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Base confidence from verified win rates per timeframe (0.72-0.92)
Modifiers / Modifikatoren:
+ Extreme RSI/StochK values (+0.03 to +0.05)
+ Trending High Vol Regime (+0.04)
- Ranging High Vol Regime (-0.08)
- Squeeze Building (-0.03)
- Counter-trend / Gegentrend (-0.10)
- Low Volume (-0.05)
Min. confidence for alert: 70% (adjustable / einstellbar)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
STOP LOSS / TAKE PROFIT
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Base trades: ATR x 1.5 (SL) / ATR x 2.5 (TP) = R/R 1:1.67
Squeeze trades: ATR x 1.2 (SL) / ATR x 3.0 (TP) = R/R 1:2.5
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TIMEFRAMES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Supported / Unterstuetzt: 30S, 45S, 1m-20m (each with individually optimized thresholds / alle mit eigenen optimierten Schwellenwerten)
Best TFs / Beste TFs: 30S (47.1%), 45S (34.8%), 12m+ (33%+)
4m: LONG + SHORT disabled (no data / deaktiviert, keine Daten)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
WEBHOOK ALERT FORMAT (JSON)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
{"signal":"long/short", "symbol":"ETHUSD", "timeframe":"...", "price":..., "source":"Bot_Webhook_v84", "confidence":..., "metadata":{"entry":..., "stop_loss":..., "take_profit":..., "atr":..., "adx":..., "rsi":..., "rsi_slope":..., "stoch_k":..., "signal_type":"...", "strategy":"...", "regime":"...", "vol_regime":"...", "expected_wr":"..."}}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SETUP
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. Apply script to ETHUSDT/ETHUSD chart / Script auf ETHUSDT/ETHUSD Chart anwenden
2. Select desired timeframe (30S-20m) / Gewuenschten Timeframe waehlen
3. Create alert and enter webhook URL / Alert erstellen und Webhook-URL eintragen
4. Create a separate alert for each timeframe / Fuer jeden Timeframe einen separaten Alert erstellen
Other versions available / Weitere Versionen verfuegbar: BTC, SOL
DISCLAIMER: This strategy is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management. / Diese Strategie dient zu Bildungszwecken. Vergangene Performance garantiert keine zukuenftigen Ergebnisse. Nutze stets ein angemessenes Risikomanagement.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
AUTOMATED TRADING BOT / AUTOMATISIERTER TRADING-BOT
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Want to automate these signals? A fully automated trading bot is available that processes the webhook alerts from this script and executes trades on Kraken Futures - including risk management, position sizing, regime filtering and smart signal validation.
- Full bot with live trading or paper trading mode
- Processes all signals from this indicator automatically
- Built-in risk management with ATR-based SL/TP
- Multi-timeframe support (30S-20m)
More info: futuresbot.de
Or send me a direct message here on PulseWire!
Du moechtest diese Signale automatisieren? Es gibt einen vollautomatischen Trading-Bot, der die Webhook-Alerts dieses Scripts verarbeitet und Trades auf Kraken Futures ausfuehrt - inklusive Risikomanagement, Positionsgroesse, Regime-Filterung und smarter Signal-Validierung.
- Kompletter Bot mit Live-Trading oder Paper-Trading-Modus
- Verarbeitet alle Signale dieses Indikators automatisch
- Integriertes Risikomanagement mit ATR-basiertem SL/TP
- Multi-Timeframe-Unterstuetzung (30S-20m)
Mehr Infos: futuresbot.de
Oder schreib mir eine persoenliche Nachricht hier auf PulseWire!
Indicator
RSI Superstack
**RSI Superstack — Multi-Timeframe RSI Alignment Indicator**
RSI Superstack monitors the Relative Strength Index across seven timeframes simultaneously — 5m, 15m, 30m, 1H, 4H, 1D, and 1W — and alerts you when multiple timeframes line up in oversold or overbought territory at the same time. Instead of watching one RSI in isolation, you get a complete picture of market momentum across the full timeframe stack.
**How it works**
The indicator calculates RSI on each of the seven timeframes and checks whether each one is currently oversold (below 30) or overbought (above 70). A live table in the top-right corner of your chart displays every timeframe's RSI value and status at a glance. When enough timeframes align, visual signals are plotted directly on the chart and alerts fire automatically.
**Signals**
- **ALL OS / ALL OB** — all seven timeframes are simultaneously oversold or overbought. These are the highest-conviction setups and are marked with full-size triangles and a chart background highlight.
- **5+ signals** — five or six timeframes aligned. Marked with smaller triangles. Strong confluence, but not a full stack.
**Settings**
- RSI Length — default 14, adjustable
- Oversold Level — default 30
- Overbought Level — default 70
- Extended Hours — toggle on or off depending on your instrument and session preference
**Built-in alerts**
Four alert conditions are included and ready to set up with a single click — all timeframes oversold, all timeframes overbought, 5+ oversold, and 5+ overbought.
**How to use it**
This indicator works best as a confluence filter rather than a standalone entry trigger. When the full stack aligns, it signals that selling or buying pressure is extreme across every meaningful timeframe — a condition that historically precedes strong reversals or continuation moves depending on context. Pair it with your existing price action, support/resistance levels, or trend-following tools for the highest-quality setups.
Works on any instrument — stocks, crypto, forex, and futures.
Indicator
Momentum Pulse█ MOMENTUM PULSE v1.0
Next-Generation Adaptive Momentum Analysis
Blends three orthogonal momentum sources into a single Adaptive Momentum Composite (AMC), enhanced with multi-timeframe confluence scoring and automatic divergence detection. A comprehensive, real-time read on momentum across multiple dimensions — all in one clean, non-overlay panel.
Free and Open Source.
═══════════════════════════════════
█ THE CONCEPT: COMPOSITE MOMENTUM
Traditional momentum indicators measure one thing: RSI tracks mean-reversion, MACD tracks trend acceleration, ROC tracks raw velocity. Each has blind spots. A composite approach eliminates these blind spots by combining all three perspectives into a single normalized reading.
The Adaptive Momentum Composite (AMC) uses Z-score normalization to ensure each component contributes equally regardless of asset type or volatility level — it auto-calibrates to any market.
═══════════════════════════════════
█ CORE ENGINE: ADAPTIVE MOMENTUM COMPOSITE (AMC)
The signature engine combines three Z-score normalized momentum sources:
1. Rate of Change (ROC)
Raw price velocity over N bars. Catches sharp moves early.
2. RSI Deviation
Distance of RSI from the 50-line. Captures overbought/oversold pressure.
3. MACD Histogram
Trend acceleration. Captures the speed of the trend change.
Each component's weight is configurable. The composite is clamped to to prevent extreme outlier distortion.
═══════════════════════════════════
█ TREND STRENGTH METER
Real-time regime classification using adaptive thresholds:
STRONG BULL — AMC above 1.8x its own standard deviation
BULL — AMC above 0.8x standard deviation
NEUTRAL — AMC near zero
BEAR — Mirror of bullish thresholds
STRONG BEAR — Mirror of bullish thresholds
Thresholds auto-calibrate to each asset and timeframe. A visual strength gauge (0–100%) shows momentum intensity at a glance.
═══════════════════════════════════
█ MULTI-TIMEFRAME CONFLUENCE
Polls AMC direction from up to 3 higher timeframes plus the current chart:
Score 4/4 — All timeframes aligned = high-conviction setup
Score 3/4 — Strong alignment with one dissenter = proceed with caution
Score 2/4 or less — Mixed signals = chop zone, reduce position size
Auto-selects appropriate higher timeframes based on your chart. Manual override available.
Auto-Selected Timeframes:
1-3 min chart → 5 min / 15 min / 1 Hour
5 min chart → 15 min / 1 Hour / 4 Hour
15 min chart → 1 Hour / 4 Hour / Daily
1 Hour chart → 4 Hour / Daily / Weekly
4 Hour chart → Daily / Weekly / Monthly
Daily chart → Weekly / Monthly / 3M
═══════════════════════════════════
█ DIVERGENCE DETECTION
Automatic pivot-based detection of four divergence types:
Regular Bullish — Price makes lower low, AMC makes higher low → reversal up
Regular Bearish — Price makes higher high, AMC makes lower high → reversal down
Hidden Bullish — Price makes higher low, AMC makes lower low → trend continuation up
Hidden Bearish — Price makes lower high, AMC makes higher high → trend continuation down
Each divergence is labeled directly on the chart with color-coded markers. Configurable pivot lookback and maximum bar distance between pivots.
═══════════════════════════════════
█ MOMENTUM WAVE VISUALIZATION
Dynamic gradient histogram:
Rising Bullish — Bright cyan
Fading Bullish — Teal
Rising Bearish — Bright red-pink
Fading Bearish — Magenta
Signal Line — Smoothed AMC (EMA) for crossover timing
Zero-Line Crosses — Circle labels ("0+" / "0-")
Signal Crosses — Diamond markers for entry/exit timing
Background zones subtly shade the panel based on the current momentum regime.
═══════════════════════════════════
█ DASHBOARD
Compact dark-themed info panel displaying:
AMC — Current composite value with trend arrow
Regime — STRONG BULL / BULL / NEUTRAL / BEAR / STRONG BEAR with color coding
Strength — Visual gauge bar (0–100%) showing momentum intensity
Signal — Above / Below signal line status
MTF Confluence — Arrow alignment for all 4 timeframes with score (0-4)
Timeframes — Current + 3 higher TFs being monitored
Components — Individual Z-scores for ROC, RSI, MACD
RSI — Raw RSI value with Overbought/Oversold status
═══════════════════════════════════
█ ALERTS (10 CONDITIONS)
Zero Crosses: Bullish / Bearish
Signal Crosses: Bullish / Bearish
Regular Divergence: Bullish / Bearish
Hidden Divergence: Bullish / Bearish
Full MTF Confluence: Bullish / Bearish
═══════════════════════════════════
█ PRO VERSION
The PRO version adds:
Enhanced AMC Engine — Additional momentum components and advanced weighting algorithms
Extended Dashboard — More detailed analytics and component breakdown
Advanced Divergence — Multi-level divergence scoring with strength classification
Strategy Mode — Built-in backtestable strategy with entry/exit logic
Additional Alert Conditions — Regime change, momentum acceleration, and more
═══════════════════════════════════
█ NON-REPAINTING
The AMC is calculated from standard non-repainting indicators (ROC, RSI, MACD). Z-score normalization uses historical data only. MTF requests use lookahead_off to prevent future data leakage. Divergence detection requires confirmed pivots. No repainting.
═══════════════════════════════════
█ WORKS ON
Crypto, Forex, Stocks, Futures, Indices — any timeframe from 1 minute to Monthly.
═══════════════════════════════════
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. No indicator can predict market movements with certainty. Always implement proper risk management. Use this tool as one component of a comprehensive trading strategy, not as a standalone decision-making system.
Indicator
Indicator
