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.
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**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
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.
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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
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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).
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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.
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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.
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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.
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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.
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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.
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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.
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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
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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.
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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.
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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).
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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.
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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
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
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ENGLISH
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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.
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DEUTSCH
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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
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ENGLISH (EN)
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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.
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DEUTSCH (DE)
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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.
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OVERVIEW / UEBERBLICK
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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)
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SIGNAL LOGIC / SIGNAL-LOGIK
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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
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- 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
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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
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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)
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STOP LOSS / TAKE PROFIT
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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
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TIMEFRAMES
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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)
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WEBHOOK ALERT FORMAT (JSON)
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{"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
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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
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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
Indicator
AVANTI MASTER PRO FINALAVANTI MASTER PRO FINAL – Smart Intraday Trend & Breakout System
AVANTI MASTER PRO FINAL is an advanced intraday trading indicator designed to identify high-probability buy and sell opportunities using trend analysis, momentum confirmation, and breakout strength evaluation.
The indicator combines multiple technical factors such as EMA trend structure, RSI momentum, ADX trend strength, buildup analysis, breakout scoring, and multi-timeframe trend confirmation to help traders avoid sideways markets and focus on strong trending moves.
This system also automatically calculates Entry, Stop Loss, and multiple target levels (TP1, TP2, TP3) depending on the instrument being traded.
🔹 Key Features
Trend Detection
Uses EMA 9, EMA 30, and EMA 200 to identify market direction and trend structure.
Multi-Timeframe Trend Filter
Signals are confirmed only when 5-minute and 15-minute trends align, improving signal quality.
Breakout Strength Score
A scoring model evaluates multiple bullish and bearish conditions to determine breakout probability.
RSI Momentum Confirmation
Momentum validation using RSI levels to avoid weak signals.
ADX Trend Strength Filter
Signals are generated only when ADX indicates a trending market, helping to avoid sideways conditions.
Buildup Analysis
Identifies Long Buildup, Short Buildup, Short Covering, and Long Unwinding based on price and volume behavior.
Signal Strength Dashboard
Displays STRONG BUY, STRONG SELL, or WAIT signals based on combined market conditions.
Auto Target System
Automatically plots Entry, Stop Loss, and multiple target levels (TP1, TP2, TP3).
📊 Dashboard Information
The built-in dashboard provides quick insight into market conditions including:
• Trend Status
• Market Buildup
• RSI Momentum
• Breakout / Breakdown Strength
• ADX Trend Strength
• Trade Zone
• Signal Strength
⚙ Supported Instruments
Targets are optimized for:
• NIFTY
• Stock Options
• Crude Oil
• Natural Gas
⚠ Disclaimer
This indicator is created for educational and analytical purposes only.
Always manage risk and use proper risk management before taking any trade.
👨💻 Developed By
Developed by AVANTI STOCKS
Satish D. Nakhate Indicator
Indicator
AVANTI MASTER PRO FINALAVANTI MASTER PRO FINAL – Smart Intraday Trend & Breakout System
AVANTI MASTER PRO FINAL is an advanced intraday trading indicator designed to identify high-probability buy and sell opportunities using a combination of trend analysis, momentum strength, breakout scoring, and smart money behavior.
This indicator integrates multiple technical factors such as EMA trend structure, RSI momentum, breakout strength analysis, buildup detection, ADX trend strength filter, and multi-timeframe confirmation to help traders avoid sideways markets and focus on strong trending moves.
The system automatically generates entry signals and calculates risk-reward targets for different instruments.
Key Features
Trend Detection
Uses EMA 9, EMA 30, and EMA 200 to determine the overall market trend.
Multi-Timeframe Trend Filter
Signals are confirmed only when 5-minute and 15-minute trends align, improving trade accuracy.
Breakout Strength Score
A scoring system evaluates multiple bullish and bearish conditions to determine breakout probability.
RSI Momentum Confirmation
RSI is used to validate market momentum before generating signals.
ADX Trend Strength Filter
Signals are generated only when ADX > 23, helping to avoid sideways markets.
Buildup Analysis
Detects Long Buildup, Short Buildup, Short Covering, and Long Unwinding based on price and volume behavior.
Auto Target System
Automatically calculates Entry, TP1, TP2, TP3, and Stop Loss depending on the instrument.
Supported Instruments
Targets are optimized for:
• NIFTY
• Stock Options
• Crude Oil
• Natural Gas
Dashboard Information
The built-in dashboard displays key market insights such as:
• Trend status
• RSI momentum
• Breakout / Breakdown strength
• ADX trend strength
• Market buildup
• Trade zone indication
Best Use
This indicator is designed for intraday trading and trend continuation setups where strong momentum and trend confirmation are present.
Works best in trending markets.
Developed by AVANTI STOCKS – Satish D. Nakhate Indicator
ICT Power of 3 with Multi Bar and HTF EMA Display : PO3MyFXRoom HTF Bar Rejection — Higher Timeframe Overlay Indicator
This indicator plots higher timeframe candles directly onto your current chart, so you can analyse HTF price action and structure without switching between timeframes.
What it does:
Instead of flipping between charts, you get up to 15 candles from your chosen higher timeframe (H1, H4, Daily, Weekly or any other) displayed as a clean overlay on the right side of your chart.
Each candle shows the full body and wicks, colour-coded to match bullish and bearish price action.
Features:
HTF Candle Overlay — displays up to 15 higher timeframe bars directly on your chart
Fair Value Gaps — detects and highlights FVGs on both the current timeframe and the HTF overlay, so you can see where price may draw to
HTF Opening Price Line — marks the current HTF bar's opening price with a horizontal line for quick reference
Liquidity Grabs & Failed Breaks — automatically identifies when price grabs a high or low and fails to close beyond it, marking potential reversal points
Dual EMA (25 & 50) — plots both EMAs across the HTF overlay bars so you can gauge trend direction on the higher timeframe at a glance
EMA Trend Filter — long signals only when the 25 EMA is above the 50, short signals only when below
Fully customisable — colours, line styles, candle width, and positioning all adjustable
Who it's for:
Traders who use multi-timeframe analysis and want to keep their higher timeframe context visible at all times — particularly useful for ICT-based concepts including Power of 3, Fair Value Gaps, and liquidity. Indicator
Indicator
Inverse Golden Pocket MTF ZonesIGP Multi-TF Zones — Inverse Golden Pocket Mapper
Overview
IGP Multi-TF Zones identifies dynamic support and resistance by detecting when price inverts through a Fibonacci golden pocket (the 0.618–0.786 zone) on any timeframe. When price breaks through a golden pocket from one side, that zone flips from resistance to support (or vice versa), creating a high-probability area for re-entry on a retest.
The indicator overlays golden pocket zones from up to four timeframes simultaneously — your chart timeframe plus three configurable higher timeframes — so you can spot multi-timeframe confluence at a glance. Each zone tracks its lifecycle from formation through inversion or invalidation, with full visual feedback at every stage.
How it works:
Detects swing high → swing low pairs using pivot-based logic
Draws the golden pocket zone (0.618–0.786 retracement) between the swings
Monitors for inversion — a candle closing through the 0.786 level, confirming the zone has flipped
Inverted zones change color (green for long, red for short) and become active areas to watch for retests
Zones that get broken the wrong way (price closes beyond the swing origin) are invalidated and removed
This is not a signal generator — it's a zone mapper. It shows you where the important levels are across multiple timeframes and lets you apply your own entry logic.
Settings Reference
Timeframe Combo
Preset — Quick selection for which timeframes to display:
Chart Only: Only your chart's own timeframe zones
Chart + 15m: Chart TF plus 15-minute zones
Chart + 15m + 30m: Three-tier view (default)
Chart + 15m + 30m + 1h: Full four-tier stack
Custom: Manually select each HTF and toggle independently
Chart TF
Show Chart TF Zones — Master toggle for your chart's native timeframe zones. Turn off if you only want higher TF zones overlaid.
Extend Right (bars) — How many bars ahead the zone box extends past the current bar. Default: 15.
Label Position — Where the zone info label sits relative to the box: Top-Left, Top-Right, Bot-Left, or Bot-Right. Use different positions per TF to prevent overlap.
HTF 1 / HTF 2 / HTF 3
Each higher timeframe has its own self-contained settings group:
Timeframe — Which timeframe to pull swing data from (e.g., 15m, 30m, 1h, 4h, D).
Enabled — Toggle this HTF on/off.
Min Swing (pts) — Minimum size in points for a swing to qualify. Higher timeframes naturally produce larger swings, so set this proportionally. Defaults: HTF1 = 45, HTF2 = 80, HTF3 = 145.
Extend Right (bars) — Independent extend per TF. Higher TF zones represent bigger structures, so longer extensions make sense. Defaults: HTF1 = 30, HTF2 = 50, HTF3 = 80.
Freeze Inverted — When on, inverted zones stop extending after a set number of bars, freezing them in place on the chart.
Freeze After (bars) — How many bars after inversion before the zone freezes.
Label Position — Top-Left, Top-Right, Bot-Left, or Bot-Right. Set different TFs to different corners to avoid label stacking.
Swing Detection
Pivot Lookback — Number of bars on each side to confirm a swing high/low. Higher values = fewer, more significant swings. Default: 5.
Min Swing (pts) — Chart TF — Minimum point range between swing high and swing low for chart timeframe zones. Filters out insignificant micro-swings. Default: 25.
Fibonacci
Entry Level — Which fib level defines the entry edge of the golden pocket box. Options: 0.618 (default), 0.705, 0.786. The box always draws from your chosen entry level to 0.786.
Show Entry Lines — Dashed line at the entry fib level (the bottom/top edge of the GP zone).
Show CE Line — Consequent Encroachment line at the midpoint of the golden pocket (halfway between entry level and 0.786). CE is a key reaction level within the zone. Turns green/red on inversion.
Show 0.786 Line (uninverted) — Dotted line at the inversion trigger level. Visible only on potential (uninverted) zones — once the zone inverts, this line disappears since it has served its purpose.
Show 0.886 Line (uninverted) — Dotted line at the deep retracement level. Shows the extreme edge of the golden pocket. Also disappears on inversion.
Direction
Long Setups (Bearish GP) — Show zones where a bearish swing (high → low) creates a golden pocket that could invert into long support.
Short Setups (Bullish GP) — Show zones where a bullish swing (low → high) creates a golden pocket that could invert into short resistance.
IDs & Swing Labels
Show Zone IDs — Each zone gets a unique sequential ID (Z1, Z2, Z3...) shown on the zone label.
Show Swing IDs — Labels at each swing high (H) and swing low (L) that formed a zone, tagged with the zone ID and timeframe. Example: "Z42 5m H". Only swings that generated a zone are labeled. When multiple zones share the same swing point, labels merge with a "/" separator (e.g., "Z42 5m H / Z43 15m H").
Show Swing Lines — Dotted horizontal lines extending from each swing high and swing low to the right edge of the zone box. Lines turn solid on inversion.
Swing ID Size — Text size for swing labels: tiny, small, or normal.
Swing High ID Color — Color for swing high labels and lines. Default: orange.
Swing Low ID Color — Color for swing low labels and lines. Default: blue.
Zone ID Size — Text size for the zone ID portion of labels.
Zone Lifecycle
Delete Invalidated Zones — When on, zones that get broken (price closes beyond the swing origin) are immediately removed from the chart. When off, they stay visible with gray dotted borders.
Max Zones Per TF — Maximum number of zones to keep per timeframe. When exceeded, the oldest zone is removed. Default: 6. Max: 50.
Invalidation
Invalidate on Swing Break — When price closes below the swing low (for long zones) or above the swing high (for short zones), the zone is marked as invalidated. Turn off to keep all zones alive indefinitely.
Visuals
Show Zone Labels — Master toggle for all zone info labels.
Zone Label Size — Text size for zone labels: tiny, small, or normal.
Zone Label Content
Fine-grained control over what information appears in each zone's label. Every field can be toggled independently:
Zone ID (Z123) — The sequential zone identifier. Default: ON.
Timeframe + Direction — Shows the source timeframe and direction arrow, e.g., "5m GP↑" or "15m IGP↓". Default: ON.
Swing Size (42pt) — The point range of the swing that formed the zone. Default: ON.
Swing Refs — Shows which swing high and low IDs created the zone, e.g., " ". Default: OFF.
Swing Time — Timestamp (ET) of when the swing that formed the zone was detected. Default: ON.
Inversion Time — Timestamp (ET) of when the zone inverted. Only appears on inverted zones. Default: ON.
CE Value — The Consequent Encroachment price level. Default: ON.
TF Colors
Chart TF — Color for chart timeframe zones. Default: purple.
HTF 1 — Color for the first higher timeframe. Default: blue.
HTF 2 — Color for the second higher timeframe. Default: orange.
HTF 3 — Color for the third higher timeframe. Default: teal.
CE Line — Color for the Consequent Encroachment line. Default: white.
Inverted Long — Color for zones that have inverted bullish (long). Default: green.
Inverted Short — Color for zones that have inverted bearish (short). Default: red.
Zone States
Potential (colored by TF) — A golden pocket has formed but price hasn't broken through the 0.786 level yet. The zone extends to the right each bar. This is a zone to watch.
Inverted (green or red) — Price closed through the 0.786 level, confirming the golden pocket has flipped. The zone is now an active support/resistance area for retests. The CE line and swing lines turn solid. The 0.786 and 0.886 helper lines disappear.
Invalidated (gray/deleted) — Price closed beyond the swing origin, breaking the zone. Depending on settings, the zone is either deleted or shown as a gray dotted outline.
Multi-Timeframe Confluence
The real power is in stacking timeframes. When a 5m zone overlaps with a 15m and 30m zone at the same price level, that's multi-timeframe confluence — a much higher probability reaction area than any single-TF zone alone.
Higher timeframe zones draw with thicker borders and more opacity so they stand out visually. Color-coding by timeframe lets you instantly see which TFs are aligned.
Tips
Start with Chart + 15m + 30m preset and adjust from there
Set different label positions per TF (e.g., chart = Top-Left, HTF1 = Top-Right) to avoid clutter
Higher TFs need larger min swing values to filter noise — the defaults are tuned for NQ but adjust for your instrument
Use Freeze Inverted on lower TFs to keep the chart clean, turn it off on higher TFs so they keep extending
The CE line is often the first reaction level within a zone — watch for wicks to CE
When swing labels show merged IDs (Z42/Z43), that swing point is extra significant — multiple timeframes agree on it
Built for NQ futures. Works on any instrument — adjust min swing sizes to match your market's typical range. Indicator
Strategy
Fair Value Range Breakout [by Oberlunar]Fair Value Range Breakout by Oberlunar is a community tool built around higher-timeframe structure and HTF imbalance zones. It reconstructs and draws up to three recent candles from a user-selected HTF and optionally displays their High, Low, Open, and Close levels with configurable styles and colours, keeping HTF candles and FVG ranges readable while working on lower timeframes.
On each confirmed HTF candle close, the script scans the last three closed HTF candles to detect bullish and bearish Fair Value Gaps using either wicks or candle bodies as the reference. You can filter gaps by a minimum size in ticks, keep only the most recent zones, and extend zones to the right for ongoing interaction tracking.
Set the HTF timeframe according to your horizon, such as Daily for swing context or H4-H2 for intraday structure, then enable the HTF candle overlay and choose which OHLC levels to show for each candle. In the HTF FVG settings, pick Wicks for zones that reflect extremes or Bodies for tighter zones, and increase the minimum gap in ticks if you want fewer, cleaner zones. If you use signals, choose “Close inside” for stricter interaction requirements or “Wick touch” for earlier detection, and apply a small exit buffer in ticks when noise is high. A practical workflow is using HTF=2H on a 5m or 15m chart, monitoring price interaction with an HTF FVG zone, and treating the plotted signal as confirmation of a zone exit rather than a standalone entry system.
Attribution and derivative work notice is explicit and intentional.
The HTF candle architecture component is a derivative work based on HTF Candle Architecture by BigBeluga, and the HTF FVG engine is a derivative work based on “Fair Value Gap MTF” by Oberlunar.
The original references are provided above exactly and in the code as required.
Enjoy
Oberlunar 👁️★
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