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HH Indicator - ASX Staples, Utilities, CommunicationsASX Staples / Utilities / Comms Sector HH Indicator
Purpose
This indicator identifies when a stock closes above a previous pivot high. It can be used on any time frame.
How it calculates levels:
1. Last pivot high: The last "Pivot High" is identified when a candle is higher than (or equal to) the three candles before it and the three candles after it. This filters out non-significant peaks, but can also give false signals for peaks that are in sideways markets.
2. Price level to break: To determine the price that must be broken to make a new HH, the script takes the top of the candle body (i.e. the higher of the Open or Close) and ignores wicks.
Reading the Table:
A "NEW HH" signal triggers in the indicator if the current candle closes above (or during trade, is above) the previously identified pivot high.
Quirks
1. Identifying a new HH for the 2nd time (when it isn't actually a new HH)
The indicator gives a "NEW HH" signal for a second time is if the stock closes back below the previous pivot high and then breaks out again on a later candle.
In the script, the "memory" isn't stored in a database; it’s just the math comparing Bar A to Bar B. If Bar A is under and Bar B is over, the green box turns on. If both are over, the "cross" didn't happen today, so the box stays gray.
2. Confirmation lag for new pivot highs
Because the script is waiting for 3 lower closes to mark a new pivot, there can be a delay in recording new pivot highs 指标
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Aura Pivot S/R Matrix [Pineify]Aura Pivot S/R Matrix
This indicator turns confirmed swing pivots into volatility-adaptive support and resistance zones rather than single horizontal lines. The thickness of each zone is derived from a 200-bar ATR snapshot taken at the pivot bar itself — so a level formed during a quiet consolidation gets a narrower zone than one formed during a wide-range expansion, without any manual tuning per instrument. Each zone tracks forward with price until a full close breaks through it, at which point the zone is frozen and labeled as a breakout or breakdown.
Key Features
ATR-scaled zone thickness anchored to the volatility regime at the pivot bar, not the current bar
Forward-extending zones that visually "track" price until broken, then freeze as a historical record
Close-based break detection that filters out wick probes and test-and-reject candles
Per-zone state management via a user-defined type — each zone behaves as an independent object with its own lifecycle
Breakout and breakdown labels printed at the exact bar of confirmation
How It Works
Each zone is built through a three-stage pipeline — pivot confirmation, volatility-scaled construction, and lifecycle tracking.
A swing is detected when a bar's high is higher than the surrounding pivotLen bars on both sides (for resistance), or the low is lower (for support). Because the right-side requires N bars of confirmation, zones appear with a deterministic pivotLen -bar lag and do not repaint once drawn
At the moment a pivot confirms, the script measures the 200-bar ATR as it existed pivotLen bars ago — that is the volatility context at the actual swing bar, not the current bar. The zone is then drawn as a box extending ±(ATR/2) around the pivot price
Each zone is stored in an SRZone user-defined type that bundles its box, midline, label, pivot level, and a boolean broken flag. Two arrays — one for resistance, one for support — hold the active inventory
On every bar, unbroken zones have their right edge extended forward. When the close exceeds the top of a resistance zone (or falls below the bottom of a support zone), the zone stops extending, is marked broken, and a labeled marker is drawn at the break bar
How the Components Work Together
Three design decisions interact to produce the final behavior.
The pivot detection answers where market structure previously turned — these are locations where orders likely clustered and will likely cluster again on retest. The ATR scaling answers how wide the reaction range around that pivot should be, because a pivot formed during a low-volatility session does not represent the same defensive range as one formed during a volatile expansion. Combining the two produces zones that are structurally anchored but volatility-proportional.
The close-based break filter then handles the noise problem. The most common false break is a wick that tags the level, prints a panic candle, and reverses immediately. By requiring a full close beyond the zone, the indicator rewards conviction moves and ignores exploratory probes — the break is registered only when price has committed to the new regime.
Trading Ideas and Insights
Repeated tests of a fresh resistance zone without a closing break frequently precede a sustained reversal. The more times a zone is defended, the more meaningful the eventual breakout becomes
When a resistance zone breaks and then holds as support on retest, that flip is a classic structural shift — an opportunity to align with the new direction using the flipped zone as a clear invalidation level
Support zones broken during strong trending conditions rarely hold on retest. Support broken during ranging conditions often reforms because the market was simply oscillating — context from the broader trend matters
A cluster of multiple pivots at similar prices (three or four zones stacking) marks a confluence area that carries more weight than an isolated swing
Past behavior at these levels does not guarantee future reactions. Treat zones as bias filters rather than standalone signal generators.
Unique Aspects
Most S/R indicators use fixed-distance zones, round numbers, or percentage bands. This one scales zone thickness to a rolling ATR measured at the exact bar of the pivot — so a 2020 level and a 2024 level on the same chart can have very different zone widths depending on the volatility regime that produced them
Zones freeze on break rather than being deleted, preserving a visual history of which structural levels have been tested and lost. This acts as a passive context map for traders reading price action
State is managed through a UDT array rather than a flat set of lines, which makes the extend-until-broken behavior clean and predictable — each zone owns its own break detection logic
How to Use
Add the indicator to any chart and timeframe you actively trade. 1H and 4H are good starting points for swing traders; lower timeframes work but will produce more zones and benefit from a higher pivot lookback value
Identify the nearest active support zone (green) and resistance zone (red) — these are the first levels price is likely to react to
Watch for one of two outcomes: a controlled approach followed by rejection (fade setup), or a decisive close through the zone (breakout setup). The indicator labels the breakout or breakdown automatically
When a level breaks, expect a retest. Retests often offer better reward-to-risk entries than chasing the initial breakout bar itself
Customization
Pivot Lookback Length (default: 15) — Bars required on each side of a swing for confirmation. Lower values (5-10) produce smaller, more frequent zones suitable for scalping. Higher values (20-30) isolate only major structural swings and reduce chart clutter
Zone Width (ATR Multiplier) (default: 1.0) — Scales the ATR-derived zone thickness. Raise to 1.5-2.0 on volatile instruments where zones should absorb normal noise; lower to 0.5 for tighter precision-entry levels
Support / Resistance Color — Visual differentiation between bullish and bearish zones, their midlines, and labels
Zone Transparency (default: 85) — Controls the fill opacity of zone boxes. Values around 80-90 keep price action readable inside the zone
Limitations to Be Aware Of
The pivot confirmation delay equals the lookback length. A 15-bar lookback means the zone is drawn 15 bars after the actual swing high or low. This is fine for levels (they do not repaint) but unsuitable for entries at the exact swing bar
Zones do not automatically merge. When multiple pivots form within an ATR of each other, their zones will overlap on the chart. Increasing the pivot lookback reduces this visual clutter
Break detection uses close , not wicks. A bar can spike well beyond the zone and return inside without triggering a break — by design, but worth remembering on volatile instruments with large intrabar swings
Conclusion
Rather than plotting dozens of static lines, the Aura Pivot S/R Matrix treats each structural pivot as a live object with a volatility-scaled range and a clear lifecycle — active, then broken. The ATR scaling grounds each zone in the volatility context of its own formation, and the close-based break detection emphasizes conviction moves over noise. Most useful as a structural framework for swing and position traders who want to see where the market has been defended, where those defenses have been lost, and how the battleground has evolved across different volatility regimes.
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PhantomFlow V4.1 Gold IndicatorPhantomFlow V4.1 Gold Indicator is a structure-and-momentum trend tool built for XAUUSD and other fast intraday markets. It combines swing structure, EMA trend alignment, higher-timeframe bias, session filtering, and previous day/week liquidity levels to highlight cleaner continuation opportunities while reducing low-quality signals.
How it reads trend
The indicator uses confirmed swing highs and lows together with a fast and slow EMA. When structure and EMA direction agree, it marks bullish or bearish trend conditions. An optional higher-timeframe filter can be used to keep signals aligned with the broader market direction.
Candle colors
Lime = fresh bullish entry signal
Fuchsia = fresh bearish entry signal
Green = bullish trend / hold condition
Red = bearish trend / hold condition
Faded green = bullish trend weakening
Faded red = bearish trend weakening
Gray = neutral / no clear directional edge
Signal logic
Signals appear when price is in trend, pulls back toward value around the EMA zone, then shows momentum back in the trend direction. This is designed to help identify continuation entries rather than constantly calling reversals.
Previous Day / Previous Week levels
The indicator plots:
PDH = Previous Day High
PDL = Previous Day Low
PD50 = Previous Day Midpoint
PWH = Previous Week High
PWL = Previous Week Low
These levels act as liquidity and reaction zones. They can help identify likely targets, breakout points, and areas where price may hesitate or reject.
Level filter
An optional level-aware filter blocks new signals when price is too close to an important previous day or previous week level. This helps avoid entries with poor room to move.
Dashboard
The top-right dashboard shows:
current bias
current state
trend score
higher-timeframe direction
session status
previous day levels
previous week levels
available room to key levels
whether the level filter is on
Trend score
The score is a quick strength reading based on EMA spread, EMA slope, structure, break conditions, momentum, session alignment, and optional HTF agreement. Higher values mean stronger trend conditions.
Best use
This indicator is best used as a trend-bias and continuation-entry tool, especially on lower intraday timeframes such as 5m and 15m, with the 1H chart used as the higher-timeframe filter.
Here’s a shorter version for the TradingView description box if you want something tighter:
Short description:
PhantomFlow V4.1 Gold Indicator is a structure-based trend and continuation tool built for intraday trading. It combines swing structure, EMA alignment, HTF bias, session filtering, and previous day/week liquidity levels to highlight cleaner long and short opportunities. Candle colors show trend state and fresh entry triggers, while the dashboard displays bias, score, HTF direction, session status, and key PD/PW levels. 指标
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Auto Fibonacci LevelsAuto Fibonacci Levels is a dual Fibonacci retracement indicator that automatically detects swing highs and swing lows and plots Fibonacci levels between them in real time — no manual drawing required. It runs two completely independent Fibonacci sets simultaneously, allowing you to track retracements across two different swing sizes at the same time.
How It Works:
The indicator uses a pivot detection algorithm that scans a defined number of bars to identify the most recent significant swing high and swing low. Once a swing is identified, an anchor line is drawn connecting the two points, and Fibonacci retracement levels are automatically calculated and plotted from that range. As new swings form, the levels update dynamically.
Settings Breakdown:
Pivot Sensitivity - Controls how many bars back the indicator looks to identify a swing high or low. Lower values detect smaller, more frequent swings. Higher values require larger price moves before registering a new swing. Accepts any value from 1 to 500.
Show Anchor Line - Toggles the visibility of the diagonal line connecting the swing high and swing low. The anchor line visually represents the range the Fibonacci levels are drawn from.
Line Color - Sets the color of the anchor line.
Line Style - Sets the style of the anchor line — Solid, Dashed, or Dotted.
Line Thickness - Sets the thickness of the anchor line from 1 to 5.
Show Levels - Master toggle that turns all Fibonacci level lines on or off at once without affecting the anchor line.
Extend Level Lines - When enabled, stretches all Fibonacci level lines leftward to the beginning of the anchor line, so the levels span the full width of the detected swing range rather than only appearing at the right side of the chart.
Individual Levels (0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0) - Each level has its own show/hide toggle, adjustable value, and color picker. This allows you to display only the levels you trade with and color-code them however you prefer. Values are fully editable so you can substitute any custom retracement or extension levels you want.
Show Recent Fib Levels - When enabled, displays the previous Fibonacci sets from recently completed swings alongside the current active set. Historical sets are rendered progressively more transparent the older they are, making it easy to distinguish past ranges from the current one. Anchor lines are included for each historical set.
Recent Fib Count - Controls how many previous Fibonacci sets are displayed, from 1 to 5. Only fully completed swings are shown — the current active set is never duplicated.
Final Notes:
Both Fibonacci sets are fully independent and can be configured separately. The indicator is non-repainting within its current bar — levels update as new swings are confirmed. Works on all timeframes and all asset classes 指标
TheStrat Markov Percentages RoadmapTheStrat Markov Percentages Roadmap
Overview
The Markov Percentages Roadmap is a high-precision statistical engine designed for practitioners of The Strat. It bridges the gap between objective price action patterns and mathematical probability. By combining the structural rules of Broadening Formations (BF) with a historical Markov-style audit, this indicator calculates the real-world frequency of setups reaching user-defined "Reaction Zones."
Trading is not about being "right"; it is about understanding the frequency of success for a specific setup within a specific structural context. This roadmap provides the evidence.
The Background: Why "Markov"?
In probability theory, a Markov Chain is a model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event.
In this indicator, we apply that logic to price action:
Current State: A specific "Strat" trigger (e.g., a Failed 2, a 2-1-2 Reversal, or a Continuation).
Next State: Price entering your user-defined Reaction Zone (defaulted to the 50% and 70% levels).
The Roadmap scans your historical data (Stat Lookback) to find every instance where a setup occurred and calculates exactly how many of those "states" successfully transitioned into the "Zone" within your chosen time horizon (Success Window).
Core Features
1. The Iron-Clad Anchor
The indicator locks onto the previously closed Higher Timeframe (HTF) candle. This ensures that the structural levels (BF High and BF Low) remain perfectly horizontal and fixed for the duration of the session. There is zero "lagging" or "trailing"—the goalposts are set before the first bar of the current session even opens.
2. Automatic Polarity Correction
Standard Fibonacci retracements often require manual flipping when the trend changes. This engine automates that logic.
Bullish HTF Candle: The 50/70 zone is measured down from the High (Reclaim/Retracement logic).
Bearish HTF Candle: The 50/70 zone is measured up from the Low (Reclaim/Retracement logic).
3. The Structural "Zoom Lens"
Using the Structure Lookback input, you can define your playing field:
Lookback = 1: Anchors the roadmap to the single prior HTF candle.
Lookback = 70+: Anchors the roadmap to the extremes of a major multi-day Broadening Formation.
4. The Statistical Dashboard
The real-time table provides a granular audit of:
Count: Total occurrences of the setup within the lookback period.
Prob. To Zone: The percentage frequency of that setup hitting your target.
Prob. To High/Low: The likelihood of price reaching the structural extremes.
How to Use the Roadmap
Identify the Playing Field: Set your Structural Timeframe (e.g., 4H) and Lookback.
Define the Goal: Input your Floor and Ceiling percentages (e.g., 50% and 70%).
Audit the Evidence: Check the dashboard for the setup currently triggering on your execution chart (e.g., 15m). If the "Prob. To Zone" is high (e.g., >65%), the roadmap suggests a high-probability "Reclaim" trade is in play.
Project the Move: Use the Extension Bar Count to project the current levels into the future space, allowing you to visualize the price's trajectory toward the target.
Disclaimer
This indicator is a statistical analysis tool based on historical price action. It does not provide financial advice, nor does it guarantee future results. Trading involves significant risk. The Markov probabilities generated are for educational and research purposes only.
Visual Settings Tip: If you use a light-colored chart, remember to adjust the "Table Text Color" in the Visuals group to ensure all statistical data is clearly visible. 指标
Wedge Chart Patterns [SSFX]Wedge Chart Patterns
Wedge Chart Patterns is a pattern-based breakout indicator designed to detect rising wedge and falling wedge formations, then transform valid breakouts into structured trade setups with predefined entry, stop loss, and take profit levels.
The script is built for traders who want more than simple visual pattern recognition. Instead of only drawing wedge structures, it filters breakouts using candle body strength, then projects a complete risk framework directly on the chart. This makes the tool suitable for both discretionary chart reading and systematic trade planning.
What this indicator does ?
This indicator continuously scans price action using pivot-based structure detection to identify wedge formations. Once a valid wedge is found, it tracks the upper and lower converging trendlines in real time and waits for a breakout in the expected direction.
A breakout is only considered tradable when the breakout candle shows enough conviction. The script measures the candle body as a percentage of the entire candle range and only allows entries when that body percentage is above a user-defined threshold. This helps filter out weak breakouts and reduce low-quality signals caused by indecision candles or excessive wicks.
After a valid breakout is confirmed, the indicator automatically builds a complete trade map:
✅ Entry level
✅ Stop loss
✅ Take profit
✅ Risk zone fill
✅ Reward zone fill
These levels are displayed directly on the chart and can be retained for the most recent trades for review and post-analysis.
Main features
✅ Detects rising wedges and falling wedges
✅ Uses pivot-based structure logic to form converging trendlines
✅ Validates wedge integrity before breakout
✅ Filters breakouts using minimum candle body percentage
✅ Generates long and short entry signals
✅ Supports multiple stop loss methods
✅ Supports risk-reward or fixed-point take profit
✅ Draws entry, SL, TP directly on the chart
✅ Adds filled SL/TP zones for fast visual trade reading
✅ Keeps the last several trade setups on screen
Best use cases
It can be used on multiple asset classes, including forex, gold, indices, crypto, and stocks, though results will depend on symbol behavior, timeframe, volatility conditions, and user settings.
Notes
This script is designed as a charting and trade-planning tool, not a guarantee of performance. Wedge patterns can fail, and breakout confirmation does not eliminate market risk. Users should always forward-test and adapt settings to the instrument and timeframe they trade. 指标
Trend Hunter v1.5Trend Hunter
A multi-timeframe WaveTrend momentum system with an integrated dashboard, Cipher B-style Money Flow, and instrument-specific entry alerts.
What it does
Trend Hunter calculates WaveTrend oscillators across six timeframes (4H, 1H, 30m, 15m, 5m, 1m) simultaneously and displays their state, value, and Money Flow direction in a compact overlay dashboard. It identifies pullback entries within established higher-timeframe trends by detecting fresh WaveTrend crossovers on lower timeframes while higher timeframes confirm directional bias.
How WaveTrend works
WaveTrend (originally by LazyBear) is a normalized momentum oscillator. It measures how far price deviates from its exponential moving average, normalizes that deviation, then smooths the result. Two lines are produced: WT1 (the main signal, EMA of the normalized channel index) and WT2 (a simple moving average of WT1). When WT1 crosses above WT2, a bullish dot appears. When it crosses below, a bearish dot appears. Overbought is above +53/+60, oversold below -53/-60.
The key insight this indicator exploits: when higher timeframes are trending (WT1 > WT2) and a lower timeframe pulls back below the zero line and then crosses bullish again, that pullback entry has a statistical edge over random entries. Backtesting across 6-17 months of data confirmed this for Gold (PF 1.51), Bitcoin (PF 1.17), and Ethereum (PF 1.12).
Money Flow (Cipher B method)
Instead of traditional volume-based MFI (which is unreliable on CFD instruments where broker volume is tick count, not real volume), this indicator uses the Cipher B approach: the ratio of candle body size to total candle range, smoothed over 60 periods. This produces a volume-independent momentum wave that oscillates around zero. Green = buying pressure dominant, red = selling pressure dominant. This works identically on forex, CFDs, crypto, and futures.
The formula: SMA((close - open) / (high - low) * 150, 60) - 2.5
Multi-timeframe dashboard
The overlay table shows each enabled timeframe's trend state (BULL/BEAR), WT1 value, Money Flow direction, and whether a fresh crossover dot just appeared (NEW). This eliminates the need to flip between timeframes manually. Timeframes are individually toggleable.
Instrument-specific alerts
Three backtested entry configurations are built in, each symbol-locked so they only fire on the correct instrument:
Gold/Silver (XAUUSD/XAGUSD): 4H and 1H both bullish, 1H WT still below zero, 5m green dot with WT2 below -10. This configuration produced the strongest backtest results (Profit Factor 1.51 across 350 trades). Recommended exit: fixed 1:3 risk-reward.
Bitcoin (BTCUSDT): 1H bullish, 1H WT still below zero, 5m green dot with WT2 below -20. Marginal edge (PF 1.17). Recommended exit: WT overbought (+53).
Ethereum (ETHUSDT): 1H bullish, 1H WT still below zero, 5m green dot with WT2 at or below zero. Marginal edge (PF 1.12). Recommended exit: WT overbought (+53).
All instrument alerts fire once per cycle. A cycle resets only when the 1H WaveTrend crosses back through the zero line in the setup direction, ensuring the alert cannot re-fire on brief oscillations near the crossover point.
Short-side alerts use the inverse logic with flipped thresholds.
Additional alerts
Generic green/red dot alerts on the current chart timeframe, filtered dot alerts (oversold/overbought only), generic HTF pullback alerts (4H+1H bias with LTF dot below zero), full alignment alerts (all enabled timeframes agree), and Money Flow zero-cross alerts.
How to use
Add the indicator to a 5m chart of your instrument. Enable the "Any alert() function call" alert to receive all relevant signals. The dashboard provides at-a-glance multi-timeframe context. Use the instrument alerts as entry candidates and confirm with price action, support/resistance levels, and risk management before entering.
This indicator does not generate buy/sell orders. It identifies statistical pullback setups within established trends. Not every alert is a trade.
Settings
WaveTrend parameters default to 9/12/3 (matching Cipher B). Money Flow defaults to period 60, multiplier 150. All inputs are accessible in settings but hidden from the status line by default to keep the chart clean. Dashboard position and size are configurable.
Credits
WaveTrend calculation based on LazyBear's WaveTrend with Crosses. Money Flow concept inspired by Cipher B's volume-independent approach. Multi-timeframe architecture and instrument-specific alert system are original. 指标
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AG Pro Pivot Cluster Survival Map [AGPro Series]AG Pro Pivot Cluster Survival Map
Overview / What it does
AG Pro Pivot Cluster Survival Map is an overlay tool that evaluates the durability of nearby pivot clusters rather than focusing on a single pivot reaction. The script groups Daily, Weekly, and Monthly Classic Pivot levels when they compress into the same price neighborhood, then measures how well that cluster has held up under repeated interaction.
The goal is not to label every pivot touch as strong or weak. The goal is to show whether a pivot-derived zone has continued to absorb pressure, remain structurally relevant, or lose stability over time. This makes the script suitable for users who want to monitor confluence-based pivot structure instead of isolated one-bar reactions.
The visual model is intentionally compact. The script highlights the nearest upper cluster and the nearest lower cluster, assigns a survival score to each side, and displays a pressure readout for the dominant active zone. The result is a map of pivot-cluster durability, not a generic support/resistance overlay and not a simple reaction detector.
Unique Edge
The distinguishing feature of this script is its focus on pivot-cluster survival.
Many pivot tools concentrate on one level at a time. Many reaction tools classify the immediate response after a touch, reclaim, or rejection. This script approaches the problem differently. It asks whether multiple pivot levels from different higher timeframes are compressing into the same zone, and whether that zone is still surviving repeated market interaction.
That difference matters.
This script does not score a single bounce. It does not try to predict a reversal from one isolated pivot event. It evaluates whether a pivot cluster remains durable after tests, inside-zone pressure, breaches, and time spent without structural failure.
Within the AG Pro catalog, this script is materially different from AG Pro Pivot Points Reaction Map. Pivot Points Reaction Map is centered on reaction quality at pivot levels. Pivot Cluster Survival Map is centered on cluster durability, confluence density, and survival under pressure. In other words, one evaluates the response; the other evaluates the staying power of the pivot cluster itself.
It is also different from broader level-survival or support/resistance tools because the source engine here is explicitly pivot-derived. The script is built around Daily, Weekly, and Monthly Classic Pivot families, then transformed into a confluence-survival framework.
Methodology
The current version uses Classic Pivot calculations from higher timeframes.
1. Daily, Weekly, and Monthly pivot levels are collected.
2. Nearby pivot levels are grouped into clusters when they fall within the active cluster width.
3. The script selects the nearest upper cluster and the nearest lower cluster relative to current price.
4. Each selected cluster is evaluated with a survival model.
The survival model is based on factors such as:
- cluster density
- higher-timeframe participation
- repeated tests
- rejection behavior
- inside-zone pressure
- breach frequency
- time since structural failure
A higher survival score suggests that the cluster has remained more durable under recent interaction. A higher pressure reading suggests that the cluster is experiencing more structural stress.
The chart display is intentionally selective. Instead of plotting every pivot line independently, the script concentrates on the nearest relevant clusters and presents them as zones with a backbone line and state label. This is designed to keep the structure readable.
States / Signals
The script uses state-based interpretation rather than directional promises.
Typical state classifications include:
- Stable
- Strengthening
- Balanced
- Under Stress
- Fragile
- Failed
These states are derived from the relationship between survival and pressure. They are meant to describe the condition of the cluster, not to issue a guaranteed trading outcome.
The panel summarizes:
- nearest upper cluster
- nearest lower cluster
- dominant survival side
- cluster pressure
- pivot mix currently included in the model
The script can also generate alert conditions for:
- cluster strengthening
- cluster failure
- cluster reclaim behavior
These alerts are deterministic conditions derived from the script logic. They are informational and should be interpreted within a broader market workflow.
Key Inputs
Pivot Formula
This version is intentionally limited to Classic Pivots in order to keep the clustering and scoring model consistent.
Include Daily / Weekly / Monthly
These settings control which higher-timeframe pivot families are included in the cluster engine.
Cluster ATR Width
Controls how aggressively nearby pivot levels are merged into the same cluster using ATR-based spacing.
Cluster Percent Width
Adds a percentage-based width floor so clusters remain practical across different price scales.
Minimum Levels Per Cluster
Controls how many pivot levels are required before a true cluster is recognized.
Survival Lookback
Defines the observation window used for the durability calculations.
Visual Controls
The script includes settings for cluster visibility, labels, backbone lines, panel location, and font sizes.
Limitations & Transparency
This script is a structural reading tool. It is not a prediction engine.
A high survival score does not guarantee that price will reverse, hold, or trend from that area. A low survival score does not guarantee immediate failure. The values should be read as condition metrics for pivot-derived zones.
Because the script groups pivot levels into clusters, output can vary depending on volatility, symbol characteristics, and timeframe context. On some symbols, one side may show a stronger cluster than the other. On some charts, one side may temporarily rely on a weaker fallback anchor when cluster density is limited.
This script does not attempt to replace market structure analysis, higher-timeframe context, liquidity analysis, or risk management. It is intended to organize pivot confluence into a readable survival framework.
What this script is not:
- not a buy/sell signal engine
- not a guarantee of support or resistance
- not a standalone trade system
- not a future-price prediction model
Risk Disclosure
This script is for chart analysis and decision support only. It does not provide financial, investment, or trading advice. Markets can move unpredictably, and no indicator can eliminate risk.
Users should evaluate signals, states, and cluster conditions together with their own process, timeframe alignment, and risk controls before making any decision.
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AG Pro Pivot Points Reaction Map [AGPro Series]AG Pro Pivot Points Reaction Map
Overview / What it does
AG Pro Pivot Points Reaction Map is an overlay indicator designed to analyze how price behaves around classical pivot levels rather than only plotting those levels as static horizontal references. The script builds Daily or Weekly pivot structures from prior period OHLC data and then tracks the currently active pivot in order to highlight nearby price interaction, reaction quality, and short-term context.
Instead of treating every pivot line equally at all times, the script uses an active-pivot framework. This allows the chart to stay focused on the level that is currently most relevant to price while still keeping broader pivot structure visible in the background. The goal is to help traders evaluate whether price is reacting constructively, rejecting, reclaiming, compressing, or losing a key pivot area.
The visual design is intentionally split into two layers. The first layer is the classical pivot structure itself, including PP, R1, S1, and optional extended levels such as R2 and S2. The second layer is the reaction map built around the active pivot. This layer adds an ATR-based reaction zone, state detection, filtered event labeling, active context tags, and an information panel so the chart can communicate more than a simple “price above” or “price below” condition.
This indicator is intended for chart analysis, workflow support, and structured market reading. It does not attempt to predict future prices, and it should not be interpreted as a standalone trade execution system. It is best used as a contextual overlay that helps organize price behavior around widely followed pivot references.
Unique Edge
The core distinction of this script is that it is not just another pivot plotting tool. Classical pivot indicators usually stop at drawing levels. This script continues one step further by evaluating reaction behavior around the currently active level.
Its main differentiator is the active reaction framework. The script identifies a current pivot focus, builds a dynamic reaction zone around that level, and then classifies price interaction into states such as reclaim, loss, holding behavior, rejection behavior, and compression near pivot. This moves the indicator away from passive level display and toward structured price-context mapping.
A second differentiator is the sticky active pivot logic. Instead of shifting focus too aggressively whenever price becomes marginally closer to a different level, the script attempts to keep chart attention anchored to the current active pivot until conditions justify a transition. This improves visual continuity and makes the chart easier to read during multi-bar interaction.
A third differentiator is signal hygiene. Reaction labels can be filtered through cooldown logic, score thresholds, and event selection rules so that the chart remains readable. Major events can be emphasized while weaker or more repetitive reactions remain in the background. This helps preserve interpretability instead of overwhelming the screen with every minor touch.
Finally, the script combines chart-side cues with a compact state panel. The panel reports the active pivot, pivot price, current distance, live state, last score, and directional bias. This allows users to scan the present context without losing the full visual relationship on the chart.
Methodology
The pivot engine uses prior Daily or Weekly OHLC values to construct standard pivot levels. These levels form the structural base of the indicator. Depending on settings, the script can display the central pivot point together with first and second resistance/support layers.
From that structure, the script evaluates which pivot is currently most relevant to price and assigns that level as the active pivot. A sticky selection process is then used so the active focus does not rotate too easily on minor fluctuations. This helps the script behave more like a context map and less like a constantly flickering nearest-line tracker.
Around the active pivot, the script builds a reaction zone using ATR. This means the mapped zone adapts to the instrument’s recent volatility rather than using a fixed absolute distance. A wider volatility environment naturally leads to a wider interaction zone, while a calmer environment keeps the zone tighter.
Inside that zone, the script studies price behavior using a combination of position relative to the pivot, candle body structure, wick emphasis, and short-term displacement from the level. It also computes a reaction score designed to quantify how constructive or decisive the interaction appears under the script’s logic. Stronger reclaim or rejection characteristics can therefore stand out from weaker, noisier touches.
The result is a layered read of market structure:
- classical pivot references define the environment,
- the active pivot identifies current relevance,
- the ATR-based zone frames the interaction area,
- event logic classifies notable reactions,
- the panel summarizes the current state.
Signals & Alerts
The script can identify and label several reaction types around the active pivot. Depending on settings and score thresholds, these may include reclaim events, pivot loss events, reaction holding behavior, and reaction rejection behavior.
In addition to chart labeling, the script includes alert conditions for major workflow events. These are designed to notify the user when price is showing a notable interaction around the active pivot. Available alert categories include bullish reaction confirmation, bearish reaction confirmation, pivot loss confirmation, compression near pivot, and active pivot changes.
Because this is a contextual indicator rather than a complete strategy, alerts should be interpreted as informational events. They are intended to help users monitor evolving price behavior around important pivot areas, not to replace independent analysis, execution rules, or risk management.
Key Inputs
Pivot Anchor
Selects whether the pivot structure is built from Daily or Weekly source data.
Show R2 / S2
Allows the extended pivot structure to remain visible for users who want broader context beyond PP, R1, and S1.
Base Pivot Line Width / Active Pivot Line Width
Controls the visual hierarchy between background pivot references and the currently active pivot.
Reaction Zone (ATR Multiplier)
Defines the width of the active reaction zone relative to recent volatility.
Wick Emphasis
Adjusts how strongly wick behavior contributes to reaction interpretation.
Signal Cooldown (Bars)
Prevents labels and events from clustering too tightly during noisy price interaction.
Show Reaction Labels / Label Mode / Minimum Label Score
Controls which reaction labels appear on the chart and how selective the script should be.
Focus Mode
Adjusts how aggressively non-active pivot lines fade into the background.
Reaction Label Size
Changes the chart label size for reaction events and edge tags.
Show Event Markers / Show Active Pivot Halo / Show Right Edge Active Tag
Controls optional visual layers that can make the active structure easier to follow.
Passive Context Tags
Adds simplified right-edge tags for passive pivot references so faded background levels remain interpretable.
Show Info Panel / Panel Position / Panel Theme / Panel Font Size
Configures the summary panel to match user preference and chart layout.
Limitations & Transparency
This script is based on classical pivot concepts and volatility-adjusted reaction mapping. It does not know future price direction, and it does not forecast whether any pivot will hold or fail before price interacts with that area.
Reaction labels and scores are formula-driven representations of the script’s internal logic. They are not objective truth statements about market intent, and they should not be interpreted as guaranteed support, guaranteed resistance, or guaranteed continuation/reversal behavior.
Like all level-based overlays, the script can produce different impressions depending on the selected timeframe, instrument volatility, and chart conditions. Fast-moving instruments, low-liquidity environments, and sudden news-driven candles may reduce the practical value of any fixed structural framework, including pivots.
The active pivot model is intentionally selective. That improves chart focus, but it also means the script emphasizes one current pivot context over other simultaneously visible levels. Users who want a broader or more aggressive level-tracking style may prefer different settings than the default configuration.
The indicator is also not a backtesting engine and does not provide complete entry, exit, stop, or position sizing logic. It should therefore be used as one analytical component within a broader decision process.
Risk Disclosure
This indicator is for analytical and educational use only. It does not provide investment advice, trading advice, or financial advice.
Markets involve risk. Price can move through pivot levels without respecting them, reaction quality can deteriorate quickly, and conditions that appear constructive on one bar can fail on the next. No indicator can remove uncertainty from live markets.
Users should evaluate this script together with their own market framework, timeframe selection, execution process, and risk controls. Decisions involving capital should never rely on a single indicator, label, panel reading, or alert event in isolation. 指标
策略
Full Indicador v3.0 - By Claudio HerreraThis script combines several custom indicators to create a configuration that adapts to all timeframes.
The Domenec Tunnel, with its custom, modified moving averages, allows us to always know where we stand. The moving averages and correction tapes, calibrated to fit any chart, provide a visual advantage during analysis, enabling us to quickly recognize trends and critical areas.
The color-coded indicator adds extra value by highlighting "strength/weakness/doubt" in the movement or direction, as well as indicating whether an impulse is strong enough to sustain over time. It allows us to quickly recognize trend exhaustion and reversals.
The inclusion of ICT indicators, support and resistance levels, trend lines, market structure, and FVG detection allows us to identify areas of interest with high volume where the price consistently returns. 指标
Triangle Pattern Detection [Dots3Red]Triangle Pattern Detection Indicator detects and draws triangle chart patterns in real time. The indicator identifies pivot highs and lows, validates converging trendlines, calculates the mathematical apex, and classifies each pattern by type.
How it works
The indicator scans for pivot highs and pivot lows using a configurable lookback length. Once two valid pivot highs and two valid pivot lows are found, it verifies that:
The trendlines are genuinely converging (spread shrinks from left to right)
No bar between the pivots violates the trendline boundary
The upper and lower patterns are aligned in time
The pattern meets minimum and maximum width requirements
If all conditions pass, the apex is calculated mathematically as the exact intersection point of the two trendlines, and the full triangle is drawn from the shared start bar to the apex.
Pattern Types Detected
Symmetrical Triangle — both lines converging toward each other
Ascending Triangle — flat upper resistance, rising lower support
Descending Triangle — declining upper resistance, flat lower support
Rectangle — both lines near horizontal
Visuals
🟡 Electric glow triangle
▼ / ▲ Pivot markers at pattern boundaries ( commented out in the code )
🔵 Bullish breakout signal / 🔴 Bearish breakout signal with glow effect and stem line
Number label at each triangle's start for cross-referencing with the info table
Info Table (top right)
Keeps a record of the last 5 detected triangles showing:
Column - Description
ID - Triangle number
Type- Pattern classification
Width - Pattern width in bars
BO date - The day the price broke out from the triangle pattern
Status - Live breakout status — Bull / Bear / Inside
The Status column updates on every bar so you can see in real time whether price has broken out of any recent pattern.
Settings
Pivot Length - Sensitivity of pivot detection (1–10). Lower = more patterns
Max Pattern Width - Maximum bars between first and second pivots
Start Bar Alignment Tolerance - Max distance between the start of the upper and lower pivots of the triangle's sides
Max Apex Distance - How far ahead the apex can project
Min Pattern Width - Filters out patterns that are too narrow to be meaningful
Breakout Threshold % - How far the price must close beyond the trendline to confirm a breakout
Notes
All triangles are drawn on the last bar only, avoiding repainting of historical patterns
Breakout detection scans from the leftmost bar of the pattern to the apex, firing on the first confirmed close beyond the boundary
Example on BTC 🪙 chart
指标
Dynamic Pivot Structure [DPS]Dynamic Pivot Structure (DPS) is a price structure analysis tool that automatically detects pivot points, classifies market structure (HH, HL, LH, LL), and generates dynamic support/resistance zones with mitigation tracking.
**Mathematical Foundation:**
The indicator uses the standard pivot point detection algorithm with configurable left and right bar confirmations. A pivot high is confirmed when the high of a bar is greater than the highs of all N bars to its left and N bars to its right. Similarly for pivot lows. This provides mathematically validated local extremes rather than arbitrary level selection.
Market structure classification follows the Dow Theory framework: Higher Highs (HH) and Higher Lows (HL) define uptrends; Lower Highs (LH) and Lower Lows (LL) define downtrends. The indicator tracks consecutive pivot sequences and labels each new pivot with its structural classification.
Support and resistance zones are generated around each pivot using the Average True Range (ATR) for zone width. This creates proportional zones that automatically adjust to the instrument's volatility. The indicator tracks zone mitigation — when price penetrates a zone, it is marked as mitigated and visually faded.
**Signal Logic:**
Buy signals fire when price is near an unmitigated support zone, above the trend EMA, with RSI below 40 or bullish structure (HH/HL), and ADX confirming a trending environment. Sell signals fire near resistance with bearish conditions.
**Features:**
- Automatic pivot high/low detection with adjustable sensitivity
- Market structure classification (HH, HL, LH, LL)
- Dynamic ATR-based support and resistance zones
- Zone mitigation tracking with visual feedback
- ADX trend strength filter
- Trend EMA overlay
- Dashboard showing structure type, ADX, and proximity status
指标
Pivot Strategy [OmegaTools]Pivot Strategy by OmegaTools is a systematic trading strategy designed to evaluate price behavior around key pivot point levels. The script builds a complete pivot framework using the selected calculation method, with support for Traditional, Fibonacci, Woodie, Classic, and Camarilla pivots. From this structure, the strategy derives the central pivot level together with the first three resistance and support extensions, creating a clear and objective map of potential reaction zones for the session.
This script shouldn't be used as a stand alone strategy, a proper trigger and confluence filters are missing, instead try using this script to study market reaction to key levels in order to be able to create and test your own strategy.
The strategy is built around two distinct execution models. In TF mode, it operates as a breakout system, entering long positions when price closes upward through the selected bullish pivot level and entering short positions when price closes downward through the selected bearish pivot level. In MR mode, the logic shifts to a mean reversion framework, taking the opposite side of a level interaction: a touch of the selected support-side level from above can trigger a long entry, while a touch of the selected resistance-side level from below can trigger a short entry. This dual structure allows the script to be adapted to both continuation-driven and reversal-driven market conditions.
Entry selection is configurable through the central pivot or through one of the first three support/resistance tiers, allowing traders to test different degrees of aggressiveness and selectivity. A central-pivot configuration may produce more frequent signals, while higher-level entries such as SR2 or SR3 generally focus on more extended price movement before participation. This makes the strategy suitable not only for direct backtesting, but also for comparative research across instruments, volatility regimes, and pivot methodologies.
Risk management is handled through pivot-based exit logic. Stop loss and take profit levels are independently configurable and are mapped directly to the pivot structure. For long positions, stop losses are derived from the support side and take profits from the resistance side. For short positions, the inverse logic is applied. The script also validates these levels relative to the average entry price, so exits remain structurally coherent with the active position. This keeps the framework simple, transparent, and fully anchored to the same pivot environment used for entries.
To reinforce execution discipline, the strategy includes a maximum trades per day parameter, limiting the number of entries allowed during each reset cycle. At the beginning of a new reset period, the strategy clears its internal trade counter and closes any open position, ensuring that each new session starts independently from the previous one. This design makes the model particularly useful for traders who want strict session-based behavior and clean daily segmentation in their testing.
Overall, Pivot Strategy is intended for traders and quantitative researchers seeking a structured way to test pivot-driven breakout and mean reversion behavior with clearly defined rules. It is especially useful for studying how different pivot formulas, entry locations, and exit configurations influence performance across markets and timeframes, while maintaining a consistent and interpretable framework.
Disclaimer: This script is provided for educational and research purposes only. It does not constitute financial advice, investment advice, trading advice, or a recommendation to buy or sell any financial instrument. Past performance, backtest results, and hypothetical simulations are not indicative of future results. Market conditions, slippage, commissions, execution differences, and instrument-specific factors can materially affect real-world performance. Users should conduct their own analysis, apply proper risk management, and perform thorough out-of-sample validation before considering any live use. 策略
G.O.D Trades1. G.O.D SR Zones (Wide Pink & Green Areas)
What it is:
These are the large semi-transparent rectangles — pink for G.O.D Resistance and green for G.O.D Support.
They are created using the highest high and lowest low over your chosen lookback period (default 25 bars).
Why it matters:
These act as institutional supply and demand zones. Big players often defend or attack these areas. Price tends to react strongly (reverse or accelerate) when it touches them.
How to use:
Price approaching G.O.D Resistance (pink) from below → potential short opportunity.
Price approaching G.O.D Support (green) from above → potential long opportunity.
When price breaks a zone with strong momentum candles → expect continuation toward the next opposite zone.
Best trades happen at the edges of these zones.
Pro Tip: The wider the zone, the stronger it is. You can increase lookback for broader zones or decrease it for more responsive ones.
2. Liquidity Pools + Sweeps (Blue & Orange Boxes + Triangles)
What it is:
Liq High (blue box): Area slightly above recent swing highs.
Liq Low (orange box): Area slightly below recent swing lows.
Sweep markers: Small red triangle (above bar) for high sweep, green triangle (below bar) for low sweep.
Why it matters:
Institutions hunt stop-loss orders. Liquidity pools are where many retail traders place their stops (above highs or below lows). A "sweep" is when price briefly takes that liquidity and then reverses.
How to use:
A sweep (triangle appears) is often a high-probability reversal signal.
Example: Price wicks above Liq High → red triangle appears → price reverses down → look for short.
The opposite for longs at Liq Low.
These are especially powerful when they occur near G.O.D SR zones.
Pro Tip: The best setups are sweep + reversal signal + G.O.D zone confluence.
3. L Pivots (Red & Green "L" Labels)
What it is:
Automatically detects swing highs and lows using ta.pivothigh(5,5) and ta.pivotlow(5,5).
Labels them as L1, L9, L15, L25, etc. Red = bearish pivots (resistance), Green = bullish pivots (support).
Why it matters:
These show market structure in real time (Break of Structure, Change of Character). Higher L numbers usually mean more recent and significant levels.
How to use:
Bounce trades: Price reacts at an L pivot inside a G.O.D zone → good reversal setup.
Break trades: Price breaks an L pivot with momentum → continuation trade.
Use them as precise entry or stop-loss levels (tighter than the big SR zones).
Pro Tip: L25+ levels are generally stronger than L1–L10.
4. Daily NY Session High/Low (SH & SL Lines)
What it is:
Red line = Session High (SH)
Green line = Session Low (SL)
Automatically resets at 9:30 ET (New York open) and tracks the high/low during regular trading hours (09:30–16:00 ET).
Why it matters:
These are psychological and institutional reference points for the entire day. Many algorithms and traders watch these levels closely.
How to use:
Breaking SH with momentum → bullish bias for the day.
Breaking SL with momentum → bearish bias for the day.
Retests of SH/SL after breakout often provide excellent entries.
5. Momentum Oscillator (Yellow Line in Separate Pane)
What it is:
A simple 10-period Momentum indicator (ta.mom(close, 10)). It plots above or below the zero line.
Why it matters:
It shows the speed and strength of price movement. Helps filter fakeouts.
How to use:
Momentum rising above zero → bullish strength.
Momentum falling below zero → bearish strength.
Divergence: Price makes new high but momentum fails to → warning of reversal (often matches REV↓ signal).
Use it to confirm direction before entering on sweeps or pivots.
Pro Tip: Combine with reversal signals — the REV labels already use momentum divergence internally.
6. Reversal Signals (REV↑ and REV↓ Labels)
What it is:
Green REV↑ at lows and red REV↓ at highs. These appear automatically.
Why it matters:
It detects when a pivot low/high forms and momentum is diverging — a classic reversal pattern in SMC/ICT.
How to use:
REV↑ near G.O.D Support or after a Liq Low sweep → strong long setup.
REV↓ near G.O.D Resistance or after a Liq High sweep → strong short setup.
These are excellent for scalping or catching early turns.
7. Background Highlight (Red Tint on Strong Down Moves)
What it is:
Light red background when a candle has a strong bearish close.
Why it matters:
Helps you quickly spot aggressive selling pressure without staring at every candle.
How to use:
Use it as a visual filter — strong red background + sweep or reversal signal = higher conviction short. 指标
Supply & Demand Zones XLDescription
Supply & Demand Zones XL is a non-repainting supply and demand indicator designed to model market structure with a focus on stability, clarity, and quantitative strength evaluation.
The script identifies supply and demand zones using pivot-based structure and sizes each zone dynamically using ATR, ensuring consistent scaling across different market conditions. Zones are extended forward in real time and maintained as either active or historical depending on user preference.
Each zone is scored using a composite strength model that incorporates volume participation, zone width efficiency, time in market, and touch frequency. The resulting strength rating is normalized to a simple X/10 format and displayed at the end of each zone for immediate readability.
A non-repainting mode ensures that zones are only confirmed after pivot completion, preventing forward-looking bias. An optional volume filter allows users to require above-average participation before a zone is formed.
The script includes logic to prevent redundant structure by disallowing overlapping zones of the same type while the current zone remains valid. Once a zone is broken, new zones are allowed to form, preserving structural continuity.
Zones are considered broken only on confirmed closes beyond their boundaries, not intrabar wicks. Broken zones are downgraded in strength and can be visually differentiated using customizable color controls. Users can independently control coloring for active and historical broken zones, as well as define separate colors for supply, demand, broken supply, and broken demand.
Historical zones can be toggled on or off, with optional strength labels, allowing users to balance context versus chart clarity.
The result is a structured, state-driven supply and demand model that avoids noise, reduces duplication, and provides a consistent framework for evaluating zone quality and market behavior. 指标
