Triple Confluence Meter - Trend, Momentum and Volume AgreementThree indicators agreeing feels like three reasons. Usually it is one reason counted three times — trend, momentum and volume all read the same price series, so of course they tend to point the same way.
This builds the ordinary confluence indicator and then does the thing confluence indicators never do: it grades itself.
THE THREE VOTES
Trend close above or below an EMA
Momentum RSI above or below 50
Volume the bar's direction, but only on bars where volume beats its average
Sum them for a score from −3 to +3. At the extremes all three agree, the bar is coloured, and a small triangle marks the first bar of each new alignment. On symbols with no volume feed the third vote abstains and the scale becomes −2 to +2 rather than quietly voting zero forever.
THE PART THAT MATTERS
Over the lookback, the script finds every alignment that happened at least one full horizon ago — so its outcome is already settled — and counts how often price actually went the signalled way. Then it does the subtraction almost nobody does:
Edge = hit rate after alignment − base rate over all bars
The base rate is the catch. A bullish signal firing during an uptrend will show a glorious 60% hit rate while price rose 60% of the time regardless, and an edge near zero tells you the signal contributed nothing. Only the difference is information.
READING THE SCORECARD
Trend / Momentum / Volume — each vote's current direction, with the RSI value shown so you can see how close the momentum vote is to flipping.
Score — the sum and whether it counts as aligned.
Base rate up — how often price rose over the horizon on all bars in the window. This is the number to beat.
After bull align / After bear align — the hit rate following each kind of alignment, with n= the number of events behind it. Read the n before the percentage. Alignment is rare by construction and thirty events is an anecdote.
Edge — the two subtractions, in percentage points. Positive means the alignment knew something the drift did not.
Sample — bar count and the roughly independent sample size. Overlapping horizons mean 500 bars at a 10-bar horizon is nearer 50 independent observations.
WHAT IT SHOWS RIGHT NOW
On BTCUSD 1h at the time of writing, with a 50% base rate: after bullish alignment price rose just 31.0% of the time across 58 events, an edge of −19.0 pp. Bearish alignment fared better but still negative at −7.9 pp.
Read that again, because it is the whole argument. Buying when trend, momentum and volume all agreed was substantially worse than a coin flip over this window. In a mean-reverting market that is exactly what a momentum confluence should do — it arrives late, at the point where the move it is confirming is closest to exhaustion. The indicator is not broken. The premise is.
Run it on your own symbol and timeframe before drawing any conclusion from mine. The answer changes, and being able to see it change is the point of shipping this rather than another confluence indicator that just glows green.
HONEST LIMITS
A hit rate is not a P&L. It ignores position size, cost, slippage, and the size of the moves it counts. Being right on small moves and wrong on large ones loses money at any hit rate.
Overlapping horizons correlate the observations, so the effective sample is much smaller than the event count implies. Treat differences of a few percentage points as noise.
Three votes drawn from one price series are not three independent opinions. That is a feature of the design being examined here, not a bug in the measurement.
Changing the EMA, RSI or volume lengths changes the answer. If you tune them until the edge looks good, you have fitted the window rather than found something.
NO REPAINT
There is no request.security call anywhere in this script, so the higher-timeframe lookahead problem does not arise. Every graded alignment sat at least one full horizon in the past and its outcome is already history. The current bar is scored but never graded.
Open source under MPL 2.0. Read it, fork it, tell me where I am wrong. Indicator
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Risk-Adjusted Performance Rankings | NickJoanRisk-Adjusted Performance Rankings | NickJoan
Core Idea
Risk-Adjusted Performance Rankings is a multi-asset comparison dashboard designed to rank up to 15 symbols by how efficiently they convert recent price movement into risk-adjusted return. Instead of looking only at raw price performance, the indicator evaluates three classic performance measures: Sharpe, Sortino and Omega over a user-defined lookback window and organizes the results into a table.
The script can be used in two ways:
• As a metrics table, where all three risk-adjusted values are shown side by side for each asset.
• As a ranking tool, where the symbols are sorted by Sharpe, Sortino, Omega, or a composite Z-Score score.
Calculation Logic
The indicator works by taking the percentage return of each symbol over the selected period and then building three separate statistics from that same return stream.
1. Return calculation
For each symbol, the script first calculates the one-bar rate of change. This creates a rolling return series that acts as the base input for all three risk-adjusted metrics.
2. Sharpe ratio
The Sharpe calculation measures average return relative to total return volatility.
• The script calculates the mean of returns over the selected lookback.
• It calculates the standard deviation of those returns.
• It divides mean return by standard deviation.
• It then multiplies by the square root of the lookback length to create a rolling-style scaled value.
In practical terms, a higher Sharpe reading means the asset has produced more return for each unit of total volatility.
3. Sortino ratio
The Sortino ratio is similar to Sharpe, but it only penalizes downside volatility.
• The script collects only negative returns from the lookback window.
• It computes the standard deviation of those downside returns.
• It divides mean return by that downside deviation.
• It then scales the result by the square root of the lookback.
This means Sortino rewards assets that may have volatile upside moves but relatively controlled downside behavior.
4. Omega ratio
The Omega calculation compares total gains to total losses over the selected window.
• All positive returns are summed as gains.
• All negative returns are converted to positive values and summed as losses.
• Omega is computed as the ratio of total gains to total losses.
A value above 1 suggests gains outweigh losses, while a value below 1 suggests the opposite.
Ranking Logic
The indicator supports several ranking modes, and each one uses the same asset list but applies a different sort key.
Metrics Table
In Metrics Table mode, the script shows:
• The ticker name.
• Sharpe.
• Sortino.
• Omega.
This mode is the most direct view if you want to inspect each asset’s raw values without sorting.
Sharpe / Sortino / Omega ranking
When one of these modes is selected:
• The table sorts the assets by that chosen metric.
• The highest values appear at the top.
• The table becomes a direct performance leaderboard.
Z-Score ranking
The Z-Score mode is a composite ranking system.
• The script first computes the mean and standard deviation of each metric across all 15 assets.
• It then converts each asset’s Sharpe, Sortino, and Omega into z-scores.
• Those three standardized values are averaged into one composite score.
• Assets are sorted by that final score.
This allows apples-to-apples comparison even when the raw metrics live on different numeric scales.
What the Colors Mean
The script uses color thresholds to make the table easier to read at a glance.
Sharpe colors
Sharpe cells are colored according to the input range defined by:
• Sharpe Min
• Sharpe Max
Values below the minimum are treated as weak.
Values between the lower zone and upper zone are shown as progressively stronger.
Values above the upper threshold are treated as strong.
Sortino colors
Sortino uses the same idea, but with its own range:
• Sortino Min
• Sortino Max
This allows the heatmap to reflect downside-adjusted performance independently from Sharpe.
Omega colors
Omega is especially important because it is naturally centered around 1.0.
• Values below the lower threshold are weak.
• Values between the band limits gradually improve.
• Values above the upper threshold are strong.
Z-Score colors
The Z-Score mode uses a standardized color logic:
• Strongly negative values are weak.
• Slightly negative values are mid-negative.
• Slightly positive values are mid-positive.
• Strongly positive values are strong.
This helps show whether an asset is above or below the group average on a normalized basis.
Table Output
Metrics Table output
In this mode, the table displays:
• Column 1: ticker.
• Column 2: Sharpe.
• Column 3: Sortino.
• Column 4: Omega.
Single-metric ranking output
In Sharpe, Sortino, and Omega modes, the table displays:
• Rank number.
• Ticker.
• Chosen metric.
This keeps the interface minimal while still showing the full ranked order.
Z-Score output
In this mode, the table displays:
• Rank number.
• Ticker.
• Sharpe Z.
• Sortino Z.
• Omega Z.
• Average score.
This view is useful when you want a compact, relative ranking rather than raw values.
Inputs
The indicator has four main input groups.
Calculation
• Period: defines the lookback window used for all metric calculations.
Table
• Display Mode: chooses between Metrics Table, Sharpe, Sortino, Omega, and Z-Score.
• Table Position: controls where the table is placed on the chart.
Color Scale
• Sharpe Min / Max: controls the heatmap thresholds for Sharpe.
• Sortino Min / Max: controls the heatmap thresholds for Sortino.
• Omega Min / Max: controls the heatmap thresholds for Omega.
Colors
• Strong: the strongest positive color.
• Mid +: the intermediate positive color.
• Mid -: the intermediate negative color.
• Weak: the weakest negative color.
Tickers
The script includes 15 symbol inputs, allowing you to compare a basket of assets at once. This makes it suitable for crypto rotation, watchlist comparison, or broad performance ranking across a selected universe.
How to Use It
This indicator is best used as a relative strength and quality filter, not as a standalone entry signal.
Trend selection
Use the ranking table to see which assets are showing the best risk-adjusted behavior over the chosen period.
Rotation analysis
If you track a basket of coins or market leaders, the indicator can help identify which names are improving in risk-adjusted terms and which ones are losing momentum.
Risk control
A raw gain is not always useful if it comes with excessive volatility or poor downside behavior. This script helps highlight assets with better return efficiency, not just bigger movement.
Multi-factor comparison
Because Sharpe, Sortino, and Omega emphasize different aspects of return quality, the script gives a more balanced view than a single metric alone.
Practical Interpretation
Here is a simple way to read the results:
• High Sharpe: efficient return relative to total volatility.
• High Sortino: strong return with less downside volatility.
• High Omega: gains outweigh losses over the lookback window.
• High Z-Score average: strong performance relative to the rest of the selected universe.
If an asset scores well across all three, it usually represents a stronger and more stable candidate than one that only looks good on one metric.
Best Use Cases
Typical uses include:
• Crypto basket comparison.
• Top-asset ranking.
• Risk-adjusted momentum filtering.
• Rotation watchlists.
• Regime-aware asset selection.
It is especially useful when you want to compare many symbols quickly without manually calculating which ones are actually performing best on a quality-adjusted basis.
Notes
The metric table is only as good as the selected lookback period and asset set.
• Shorter periods react faster but can be noisier.
• Longer periods smooth the results but may lag recent shifts.
• The Z-Score mode is relative to the selected group, so its meaning depends on the symbols you include. Indicator
Volume Nodes & Value Migration [MQLSoftware]Volume Nodes & Value Migration is an anchored volume profile engine that rebuilds the profile construction itself and then measures how price actually behaves around the profile's own structure: the Point of Control (POC), the Value Area (VAH / VAL), high-volume nodes (HVN) and low-volume nodes (LVN). Instead of a fixed number of rows filled by spreading each bar's volume uniformly, it derives the bin height from ATR at each window anchor, weights every bar's volume toward its close with a triangular kernel, recomputes the POC and Value Area on every confirmed bar so the migration of value is visible as a trail, arms the committed POC and high-volume nodes as trackable levels with an accepted / rejected state machine, and reports measured base rates for those events from the chart's own history.
This is a visual analytical tool intended for chart reading and volume-structure mapping. It does not execute trades and does not provide financial advice.
Key Features
Anchored volume profiles (Day / Week / Month / Quarter, or Auto per chart timeframe) with bin height derived from ATR at the window anchor, so the bin count follows the window's range-to-ATR ratio instead of a fixed row number
Close-weighted triangular distribution: each bar's volume is spread over its high-low span with the apex at the close, so the settled price carries more weight than the wick extremes
Developing POC step-trail and Value Area band for the active window, recomputed on every confirmed bar; committed windows keep their final POC and Value Area lines so history stays clean, and consecutive windows are chained with dotted POC-to-POC links labelled with the migration distance in ATR and percent
Committed POC and the strongest HVNs arm as horizontal levels and every return is tracked armed, then accepted (confirmed closes inside the node zone) or rejected (a probe through the node center that closes outside the zone)
Thin Zones (LVN) of each committed window shaded as context — the low-volume gaps price historically transits rather than builds business in
A statistics panel with the live window status, developing value, node states and measured base rates: how often price revisited the prior POC and how node retests resolved, each with its sample size
Four confirmed-bar alerts: node accepted, node rejected, profile committed, prior POC revisited
Core Concept
PulseWire already ships volume profile tools (Visible Range, Fixed Range, Session and periodic profiles), and most community profiles repeat the same construction: a fixed row count, each bar's volume spread uniformly across its high-low range, and a final static histogram left for the reader to interpret. This indicator rebuilds each of those stages and then closes the loop by measuring what price actually does at the profile's own levels. Five specific algorithmic elements:
1. Adaptive resolution. The bin height is derived from ATR at the window anchor (Coarse 0.50, Balanced 0.25, Fine 0.125 ATR per bin), so the number of bins follows the window's range-to-ATR ratio. A quiet range window and an expansion window get structurally comparable profiles on any symbol and timeframe, with no fixed row count and no per-market tuning. If a window's range outgrows the internal cap, bins merge 2:1 and the height doubles — resolution stays bounded by construction.
2. Close-weighted triangular distribution. Each bar's volume is distributed over its high-low span by a triangular kernel with its apex at the bar close: the weight a price bin receives is the integral of that kernel over the bin. For a bin inside a bar with low L, high H and close C, the weight is F(b) - F(a), where F(x) = (x - L)^2 / ((H - L)(C - L)) below the close and F(x) = 1 - (H - x)^2 / ((H - L)(H - C)) above it. The settled price therefore carries more weight than the wick extremes, which a uniform spread treats identically to the body.
3. Developing value area. POC, VAH and VAL are recomputed on every confirmed bar of the active window; the POC is drawn as a step trail and the Value Area as a developing band, so the reader sees value migrate through the window — POC ladders, value-area expansion and contraction — rather than only the final snapshot. Once a window commits, its trail retires and the final POC / VAH / VAL lines remain, so history stays readable. Committed windows are chained with dotted POC-to-POC links labelled with the migration distance in ATR units and percent.
4. Node acceptance state machine. When a window commits, its POC and the strongest HVNs (local peaks holding at least half of the POC volume) arm as horizontal levels. Every return is tracked on confirmed bars only: a retest is accepted after N consecutive confirmed closes inside the node zone (node center plus/minus half an ATR, never thinner than one bin), and rejected when a probe trades through the node center and closes outside the zone, or when a visit leaves the zone before N closes. A graze of the zone edge that neither trades the center nor closes inside resolves nothing. Resolutions are latched and marked on the chart; unresolved nodes expire when the next window commits.
5. Measured base rates. The panel reports observed frequencies from this chart's own loaded history: how often price traded back through the prior window's POC, how often POC retests resolved as accepted, and how often HVN retests were rejected — each with its sample size. Below a minimum sample the panel says "collecting" instead of quoting a percentage. Observed frequencies, not assumptions, and no claims attached to them.
Anatomy of the Display
The committed histogram is the final profile of each closed window, drawn from the window's start with bin brightness following volume share; the Value Area is shaded behind it. The POC row and line mark the single price bin that traded the most volume, labelled `POC · High Volume Node`; VAH and VAL are dashed lines labelled `VAH · Value Area High` and `VAL · Value Area Low`.
The developing trail is a step line of the active window's POC with the developing Value Area shaded behind it, both recomputed on every confirmed bar and existing only for the window still forming. The dotted migration link connects the final POCs of consecutive windows and carries a label with the shift in ATR units and percent.
Node lines extend right from each commit: the POC node in the bright POC color, HVNs in the profile color, each labelled by kind. When a retest resolves, the line recolors and a mark is printed: `✓ accepted` when price held the required confirmed closes inside the zone, `✕ rejected` when it was turned away. Expired (untested) nodes fade to dotted.
Thin Zones are faint dashed boxes labelled `LVN · Thin Zone` over the committed window's low-volume gaps. They carry no state machine and no alerts — context only.
The panel shows the window status (anchor period, bars, bins and bin height), the developing POC and Value Area, the POC migration versus the prior window, the state of each armed node, and the measured base rates with sample sizes.
Notes on Repainting
Volume accumulation, developing POC / VAH / VAL updates, node state transitions, base-rate counters and alerts run on confirmed bars only.
A committed profile is final: it is built exclusively from the confirmed bars of a closed window and is never recalculated afterwards.
Node resolutions are latched. An accepted or rejected mark cannot un-happen if price later trades back through the level.
The live developing histogram, POC trail and Value Area band of the current window redraw as the window grows — they are explicitly visual context for the forming profile, not signals.
The script requests no higher-timeframe data at all (no `request.security` calls); window anchors are detected with `timeframe.change` in the chart context.
Alerts are gated by confirmed-bar events and fire once per closed bar, never intra-bar.
Typical Analysis Workflow
A common analytical workflow may include:
Reading the committed profile for the prior window: where the POC sits, how wide the Value Area is, and where the Thin Zones are
Watching the developing POC trail of the active window — a POC laddering in one direction reads as value migrating, a static POC as value building in place
Comparing the migration link and the panel's MIGRATION row to see how far value shifted between windows in ATR terms
Waiting for price to return to an armed node and letting the state machine resolve the retest into accepted or rejected on confirmed bars
Consulting the measured base rates to see how often such revisits and retests actually occurred on this chart's history, then combining the read with other forms of analysis and risk management
Configuration
Anchor Period - the window each profile covers (Auto, Day, Week, Month, Quarter); Auto follows the chart timeframe and a pick at or below it escalates automatically.
Committed Profiles to Keep - how many closed windows keep their histogram drawn; statistics always use the full loaded history.
Profile Detail - target resolution (Coarse / Balanced / Fine), expressed as ATR per bin, never a bin count.
ATR Length - the ATR lookback used for bin height and migration distances.
Value Area % - the share of window volume the Value Area encloses.
Track POC / HVN as Nodes - arms committed levels for the accepted / rejected state machine.
Acceptance Closes - confirmed closes inside the node zone required for an accepted resolution.
HVN Nodes per Window - how many high-volume nodes arm besides the POC.
Thin Zones (LVN) - shades the committed window's low-volume gaps.
Resolved Marks to Keep - how many resolved node marks stay drawn on the chart; the measured statistics are unaffected.
Rendering - committed profiles, live developing profile, profile width, the active window's POC trail and Value Area band, migration links, glow, and the four palette colors.
Statistics Panel - visibility, corner and text size.
Markets and Timeframes
The indicator can be applied across multiple markets and timeframes:
Forex
Stocks and Indices
Commodities
Cryptocurrencies
Because the bin height, node zones and migration distances are all ATR-based, the visual behavior stays consistent across instruments and timeframes. On symbols that supply no volume data the script weights every bar equally (a time-at-price read) and the panel states so explicitly.
Alerts
Node accepted - price printed the required confirmed closes inside an armed node zone
Node rejected - an armed node turned the retest away (probe through the node center with a confirmed close outside the zone)
Profile committed - an anchor window closed; its profile is final and its nodes are armed
Prior POC revisited - price traded back through the previous window's Point of Control
All alerts evaluate on confirmed bars to avoid intra-bar oscillation. A dynamic alert message naming the exact event(s) is also provided. Indicator
Chandelier Exit Trend Navigator [MarkitTick]💡 A trend-following overlay that tracks directional shifts using a volatility-adaptive channel (Chandelier Exit methodology) and converts each flip into a fully structured trade plan — entry, stop-loss, and three R-multiple take-profit levels — displayed directly on the chart alongside a live status dashboard.
✨ Originality and Utility
While the Chandelier Exit concept itself (anchoring a trailing stop to the highest high or lowest low over a lookback, offset by a multiple of ATR) is a well-documented volatility-stop technique, this script extends that foundation into a complete navigation system rather than a simple trailing line.
Three layers separate this tool from a stock Chandelier Exit plot:
An optional adaptive pre-filter (Kalman Filter or a slope-adjusted moving average referred to here as LLAMA) that can be applied to the source series before the channel extremes are calculated, allowing the trend anchor itself to react differently to noise depending on which filter is selected.
A full trade-management layer built on top of the directional flip: automatic stop-loss placement, three independently configurable take-profit levels defined in R-multiples, and live linefill zones that visually separate risk from reward.
A condition-stacking filter system (higher-timeframe EMA bias and ADX strength) that must all align before a directional flip is treated as an actionable signal, reducing signals generated during weak or conflicting conditions.
The combination is not an arbitrary mashup — the adaptive filter conditions the input to the channel calculation, the HTF/ADX filters condition which flips are considered valid, and the trade-management layer converts a validated flip into a concrete, risk-defined plan. Each component feeds the next in a single directional pipeline.
🔬 Methodology and Concepts
● Chandelier Exit Core
The core channel is built from Average True Range (ATR), calculated over a user-defined lookback. Two boundaries are computed each bar:
A long-side stop, set below the highest value of the source over the lookback period, offset by a multiple of ATR.
A short-side stop, set above the lowest value of the source over the same lookback, offset by the same ATR multiple.
Users can choose whether the highest/lowest calculation uses close-based extremes or true high/low wicks, which changes how sensitive the channel is to intrabar spikes.
A persistent trailing line then locks in the tighter of the two boundaries as price develops: while the current directional state is bullish, the line only ratchets upward (never loosening on a pullback); while bearish, it only ratchets downward. A directional flip occurs when price closes beyond the opposite boundary from the prior bar, at which point the trailing line resets to anchor the new trend.
● Adaptive Source Filtering
Before the channel extremes are calculated, the source price can optionally be passed through one of two smoothing methods:
Kalman Filter — a recursive estimator that updates its estimate of the "true" price each bar based on a prediction-error and gain calculation, converging faster in stable conditions and adapting more cautiously during volatile ones.
LLAMA — a linear-regression-style approach that takes a simple moving average of the source and adjusts it by the recent slope (rate of change) over the same lookback, projecting the average forward in the direction the price has been drifting.
When neither is selected, the raw close is used directly, preserving the traditional Chandelier Exit behavior.
● Confirmation Filters
Two independent filters can be layered on top of the raw directional flip before it is treated as a signal:
A higher-timeframe EMA bias filter, which only allows long signals when price is trading above an EMA calculated on a higher timeframe, and only allows short signals when price is trading below it.
An ADX-based strength filter, which requires the Average Directional Index to be at or above a user-defined threshold before any signal — long or short — is permitted, filtering out flips that occur during weak, non-trending conditions.
Both filters default to off and can be combined or used independently.
● Trade Level Construction
When a filtered directional flip is confirmed on a closed bar, the script anchors a trade plan to the prior bar's close:
Risk per trade is defined as the prior bar's ATR multiplied by a user-set stop-loss multiplier.
The stop-loss is placed one risk-unit away from the entry, in the direction opposite the trade.
Three take-profit levels are placed at independently configurable R-multiples of that same risk distance (default 1R, 2R, and 3R), each extending in the direction of the trade.
This means every signal comes with a symmetric, volatility-scaled risk framework rather than a fixed point value, so trade levels automatically widen or tighten with current market volatility.
🎨 Visual Guide
Heatmap Candles — the chart's candle bodies and wicks are recolored to match the current directional state: teal/green while the trailing system is bullish, red while bearish, and gray when direction is undetermined (e.g. on the very first bar).
Entry Line (blue, dashed) — marks the anchor price of the most recent confirmed trade signal.
Stop-Loss Line (red, solid, thicker) — marks the calculated stop price for the active signal, labeled "✕ SL" with its price value.
Take-Profit Lines (green, dashed, three separate levels) — TP1, TP2, and TP3, each drawn with progressively fuller opacity so TP3 is the most visually solid, labeled "◆ TP1", "✦ TP2", and "◆ TP3" respectively with their price values.
Risk Zone Fill — a light red shaded region between the stop-loss and entry lines, visually sizing the risk portion of the trade.
Reward Zone Fill — a light teal shaded region between the entry and TP3 lines, visually sizing the potential reward portion of the trade.
Dashboard Table — a repositionable panel (default top-right) summarizing, in real time: Lock status, current Trend direction, HTF Bias reading, the numeric CE trailing-stop level, current ATR value, and the active Entry/SL prices. When enabled, it also displays the current ADX reading and which adaptive filter (if any) is active. A visual bar-and-percentage gauge shows the reward-to-risk ratio of the current trade relative to TP3, colored red/yellow/green depending on how favorable it is.
📌 Note : the best way to resolve visual overlap is to navigate to the Object Tree and drag the indicator above the main chart layer, or simply hide the native candles in your chart settings.
📖 How to Use
A directional flip in the heatmap candle color, together with a new Entry/SL/TP level set appearing on the chart, indicates a fresh signal in that direction.
The Stop-Loss line represents the level at which the trade thesis is considered invalidated under this system's logic.
TP1, TP2, and TP3 represent successive profit-taking references at increasing R-multiples; price reaching a level does not close or resize the plotted level automatically — it is a visual reference for scaling decisions.
The Risk and Reward zone fills give an immediate visual sense of the trade's risk framing without needing to read exact price values.
The Dashboard's R:R (TP3) gauge offers a quick read on how the reward potential compares to the initial risk for the most recent signal.
The Lock Signal input, when enabled, freezes the currently plotted levels in place and suppresses new signal generation — useful for reviewing a specific setup without the chart updating further trade plans in real time.
When the HTF or ADX filters are enabled but conditions aren't met, no new signal will fire even if the raw directional flip occurs — check the Dashboard's HTF Bias and ADX rows to understand why a flip may not have produced a signal.
⚙️ Inputs and Settings
ATR Len / ATR Mult — controls the lookback and volatility multiplier used to build the Chandelier channel; a longer length and/or larger multiplier produces a wider, slower-reacting trailing stop.
Use Close Extremes — toggles between close-based and high/low-based channel construction, changing sensitivity to intrabar wicks.
HTF Trend Filter / HTF TF / HTF EMA Len — enables and configures the higher-timeframe EMA bias filter that gates which direction of signal is permitted.
Use ADX Filter / ADX Threshold / ADX Length — enables and configures the trend-strength filter that must be satisfied for any signal to fire.
Adaptive Filter / Adaptive Filter Length — selects an optional smoothing method (Kalman Filter or LLAMA) applied to the source before channel calculation, and its lookback length.
Lock Signal — freezes the currently displayed trade levels and halts new signal generation.
SL ATR Mult — sets how many ATR units define one unit of risk for stop-loss placement.
TP1 R / TP2 R / TP3 R — sets the R-multiple distance for each take-profit level relative to the calculated risk.
Heatmap Candles / Show Trade Levels — toggle the directional candle coloring and the entry/SL/TP drawing layer independently.
Dash Pos — repositions the dashboard to any chart corner.
Color inputs — customize the bullish/bearish colors, stop-loss, entry, and take-profit line colors, and the dashboard's background, header, and text colors.
Alert action fields (Long/Short/Close Long/Close Short) — customize the text string sent in the "action" field of the JSON alert payload, useful for routing signals to automated systems expecting specific action keywords.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The trailing-stop core of this script belongs to a family of volatility-adjusted stop techniques that use Average True Range as a normalization factor for price movement, an approach popularized in trend-following and volatility-breakout literature as a way to size stops relative to an instrument's current, rather than fixed, volatility regime. Anchoring the stop to a rolling extreme (highest high or lowest low) rather than a fixed percentage or point distance reflects the broader class of "channel breakout" trend systems, in which a directional bias persists until price violates a level defined by recent extremes — a structure with roots in classical trend-following systems that predate modern indicator platforms.
The optional Kalman Filter smoothing draws on recursive Bayesian estimation theory, originally developed for tracking dynamic systems under measurement uncertainty. Applied to price, it treats each new close as a noisy observation of an underlying "true" value, blending the prior estimate with the new observation according to a gain term that adjusts based on estimated error — a formulation with parallels to adaptive filtering approaches used in signal processing and, more recently, in quantitative finance research on noise-reduction for price series.
The LLAMA-labeled alternative combines a simple moving average with a linear slope projection, conceptually related to local linear regression and momentum-adjusted smoothing techniques, where a lagging average is advanced along the estimated trend direction to partially compensate for the inherent lag of moving-average-based estimators.
The ADX-based strength filter draws on Welles Wilder's Directional Movement framework, which quantifies trend strength independently of trend direction; requiring a minimum ADX reading before accepting a signal reflects a common risk-management heuristic in trend-following systems — that directional signals generated during low ADX (ranging/choppy) conditions have historically shown less reliability than those generated during elevated trend strength, though this relationship is probabilistic rather than deterministic and varies across instruments and regimes.
The take-profit structure, expressed in R-multiples of the initial risk rather than fixed price or percentage targets, reflects standard position-sizing and risk-management theory in which trade outcomes are measured relative to the capital placed at risk, allowing performance to be evaluated on a risk-normalized basis rather than in absolute price terms.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
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Indicator
Gravity Well Trend | Lyro RSOverview:
Gravity Well Trend is a volume-weighted mean-reversion and trend tool built around a simple idea: the volume-weighted price center is where the market's "mass" sits, and price orbiting near it is effectively captured. A real trend only exists when price achieves sufficient distance from that center in ATR terms while the center itself is accelerating the same direction — an escape from the well, not just a temporary orbit. Three selectable signal modes let it run as a strict trend filter, a simple midline flip, or a band-reclaim system.
Key Features
Volume-Weighted Gravity Center: Calculates a volume-weighted moving average as the "center of mass" for price, forming the core reference line the rest of the indicator is built around.
Escape-Distance Trend Logic: In Trend mode, a bullish or bearish trend only confirms when price is far enough from the center (in ATR units) AND the center itself is moving the same direction — distance alone with a flat center doesn't count.
Three Signal Modes: Trend — flips only on a confirmed escape from the gravity well. Midline — simple long/short based on whether price is above or below the center. Bands — flips long on a cross above the lowest band and stays long until a cross below the highest band flips it short.
Layered Band Envelope: Plots an outer and inner band pair around the center (inner bands at half the outer width), with graded zone fills between center and bands for a clear visual sense of price's position within the well.
Gradient Strength Visualization: The gravity center line and candle coloring use a gradient blend based on how far price has traveled from center relative to the band width, giving an at-a-glance read on trend conviction.
Candle Coloring: Optionally recolors chart candles using the same gradient logic as the center line.
Customizable Visuals: Choose from 4 preset palettes — Classic, Mystic, Accented, Royal — or define your own custom bullish/bearish colors.
Built-In Signals: Automatically plots long/short labels on confirmed trend flips.
How It Works
Center Calculation – Computes a volume-weighted moving average of the source over the chosen length to establish the gravity center.
Distance Measurement – Measures the distance between price and the center in ATR units to gauge how far price has strayed from its center of mass.
Band Construction – Builds an outer band pair at the full Band Width setting and an inner pair at half that width, forming a layered envelope around the center.
Mode-Dependent Trend Logic – Trend mode requires both sufficient escape distance and a rising/falling center; Midline mode simply follows price relative to center; Bands mode uses crosses of the outer bands to flip and hold direction.
Visualization – Plots the gravity center with layered glow, the band envelope with graded fills, flip signal labels, and gradient-based candle coloring.
Practical Use
Trend Confirmation – Use Trend mode when you want to avoid acting on price simply drifting away from center without real directional follow-through in the center itself.
Simple Directional Bias – Use Midline mode for a straightforward above/below-center read when you want more frequent signals.
Range/Reclaim Trading – Use Bands mode to trade reclaims of extreme levels, holding a position until the opposite extreme is reclaimed.
Zone Awareness – Watch the graded band zones to see how extended price is relative to its recent volume-weighted center before committing to a trade.
Customization
Switch between Trend, Midline, and Bands signal modes to match your trading style.
Adjust Length to tune how responsive the gravity center is to recent price/volume.
Adjust Escape Distance to control how far price must travel (with a moving center) to confirm a trend in Trend mode.
Adjust Band Width and ATR Length to reshape the band envelope and its sensitivity.
Toggle bands, signal labels, and candle coloring independently.
Pick a preset palette or define fully custom bullish/bearish colors.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals. Indicator
Indicator
ICT Session Toolkit - Killzones, Macros, True Opens and SessionThe only ICT indicators you will need in one script. CME_MINI:NQ1! CME_MINI:ES1!
This toolkit combines the intraday session tools an ICT-style trader needs into a single indicator, so a full session read — killzones, macro windows, true opens, session-open markers and equal highs/lows — comes from one script instead of five separate ones sharing chart space and settings panels.
Why a mashup? These tools are designed to be read together: killzone pivots mark session liquidity, macro windows show when algorithms are most likely to seek that liquidity, true opens give the premium/discount reference for the day and week, and equal highs/lows mark the resting liquidity that macros often target. Running them as one script means one timezone setting drives every session calculation, the drawings share one visual style, and each module can be switched on or off from a single master toggle section — something impossible when the tools live in separate indicators.
What's included and how each part works
Killzones and pivots — Boxes and high/low pivot lines for the Asia, London, NY AM, NY Lunch and NY PM sessions. Pivot lines extend until price mitigates them and can alert when broken. Day/week/month opens, highs/lows and separators are also available.
ICT macro windows — The known macro times (London 02:33 and 04:03; New York 08:50, 09:50, 10:50, 11:50, 13:10 and 15:15) are boxed and classified as Accumulation, Manipulation or Expansion by comparing the macro's open/close position within its range against the most recent lower-timeframe swing points. By default only the text classification is shown to keep charts clean; lines and boxes can be re-enabled per macro. Macros require a 1, 3 or 5 minute chart.
True opens — Dotted horizontal lines at the True Day Open (00:00), True Week Open (Monday 18:00) and the 10:00 open, each anchored to its opening price and running until the next open of the same type (the 10:00 line is limited to a configurable 60 minutes). These serve as premium/discount dividers for their respective periods.
Session-open markers — Original addition: a dotted pre-session box tracking the 07:00-09:00 high/low, plus short vertical markers at the NY (09:30), Asia (20:00) and London (02:00) opens sized in points around the opening price, so the open is visible without a full-height line cluttering the chart.
Equal highs and lows — Detects untested equal highs/lows as liquidity levels and removes them once traded through, with an optional realtime mode.
How to use it Set your timezone once in the killzone settings (defaults to New York). Each module has its own settings group prefixed KZ, MACRO, TO or EQ, and every module can be disabled from the Master Toggles section. For alerts (broken killzone pivots, daily/weekly high-low breaks), create an alert on the indicator and choose "Any alert() function call".
Limitations to be aware of All modules share the script's drawing limits, so on long lookbacks the oldest drawings are removed first. Macro classification uses 1-minute lower-timeframe data and only draws on charts of 5 minutes or less. The vertical open markers are sized in raw points and default to values suited to index futures — adjust for other instruments. This indicator draws session context only; it does not generate buy/sell signals and no performance is implied.
Credits The killzone/pivot engine is based on open-source code by tradeforopp (ICT Killzones & Pivots), the macro detection and classification on open-source code by LuxAlgo (ICT Macros), and the equal highs/lows detection on open-source code by OutofOptions, whose helper library this script imports. Significant modifications include conversion to Pine v6, a unified settings and toggle architecture, restyled macro display, a bounded 10:00 open line, and the original pre-session box and session-open marker module. Indicator
Advanced Market StructureAdvanced Market Structure
The Advanced Market Structure indicator is a comprehensive technical analysis script built for price action traders, Smart Money Concepts (SMC) practitioners, and market structure analysts. It helps traders map market context, spot key liquidity sweeps, and trade along institutional flow without cluttering the chart.
Key Features Overview
1. Smart Money Market Structure Engine
Automatically detects Break of Structure (BOS) for trend continuation and Change of Character (CHoCH) for potential trend reversals on valid swing points.
2. Intermediate Term Structure (ITH and ITL)
Replaces generic entry labels with institutional Intermediate Term Highs (ITH) and Intermediate Term Lows (ITL). These point out major liquidity pools where smart money often seeks liquidity.
3. Dynamic Candle Glow and Phase Detection
Calculates ATR and price expansion/contraction in real time to visually separate Consolidation phases from Expansion phases directly through candle coloring.
4. Auto Disappearing PDH and PDL
Plots Active Previous Day High (PDH) and Previous Day Low (PDL). As soon as price breaks through these liquidity levels, they automatically disappear to keep your workspace clean.
5. Dynamic 0.5 Equilibrium Range
Calculates the 50 percent Fibonacci Equilibrium line across recent swings, making it easy to identify Premium and Discount pricing zones.
6. Glowing Wave Line and Dashboard
Combines a dynamic Hull Moving Average trend line with a clean on screen dashboard displaying active structure context, market phase, and key level statuses.
Detailed How to Use Guide
Step 1: Determine the Macro Bias
Check the Glowing Wave Line color and recent market structure labels. A sequence of bullish BOS signals along with price staying above the Wave Line indicates a strong bullish bias.
Step 2: Identify Premium vs Discount Zones
Use the 0.5 Equilibrium Line to contextualize price position:
- Premium Zone (Above 0.5 EQ): Ideal area to search for short setups near Intermediate Term Highs (ITH) or Bearish CHoCH signals.
- Discount Zone (Below 0.5 EQ): Ideal area to search for long setups near Intermediate Term Lows (ITL) or Bullish CHoCH signals.
Step 3: Wait for Phase Transition
Observe the Candle Glow Engine. When candles transition from neutral or consolidation colors to strong trend expansion colors near an ITL or ITH level, it signals institutional participation.
Step 4: Liquidity Sweeps (PDH and PDL)
Watch how price interacts with Previous Day High and Low. A sweep followed by an immediate CHoCH back inside the daily range often offers high probability reversal scenarios.
Settings Overview and Customization
Candle Glow and Consolidation Settings
- Trend Momentum Lookback: Adjusts the sensitivity of the volatility calculation.
- Consolidation Range ATR Multiplier: Sets the sensitivity threshold for detecting squeeze or ranging market conditions.
Market Structure (BOS and CHoCH) Settings
- Structure Sensitivity (Pivot Length): Controls how sensitive the script is to swing points. Lower values (3 to 7) show lower timeframe structure, while higher values (10 to 20) show major structural points.
- Structure Colors: Full color customization for bullish and bearish structure lines and text labels.
Major Structure Labels (ITH and ITL) Settings
- Major Pivot Lookback: Defines the bar count required to mark Intermediate Term Highs and Lows.
- Label Customization: Customize colors and visibilities for ITH and ITL tags.
Previous Day High / Low and Equilibrium Settings
- Toggle Show Active PDH / PDL: Turn daily high/low tracking on or off.
- Equilibrium Lookback: Adjusts the swing period used to generate the 50 percent Fibonacci level.
Pro Tips for Effective Usage
Tip 1: Trade in the Direction of Macro Wave
For higher probability trades, take long positions when price is in a Discount Zone and the Wave Line is green. Take short positions when price is in a Premium Zone and the Wave Line is red.
Tip 2: Focus on Multi-Timeframe Confluence
Identify ITH/ITL levels on higher timeframes (such as 1-Hour or 4-Hour) and drop down to lower timeframes (5-Min or 15-Min) to spot CHoCH signals for refined entries.
Tip 3: Look for Liquidity Grab Reactions
Pay close attention when an active PDH or PDL line disappears. If price breaks the level and quickly creates a CHoCH in the opposite direction, it indicates a false breakout / liquidity sweep.
Things to Avoid
1. Avoid Trading During Consolidation
Do not take aggressive breakout entries when the Candle Glow engine highlights market consolidation. Wait for an explicit expansion candle close outside the range box.
2. Avoid Trading Counter Trend at Equilibrium
Do not short right at the 0.5 Equilibrium line if the overall structural trend is strongly bullish with consecutive bullish BOS signals.
3. Avoid Over Sensitivity on Scalping Timeframes
Do not set the Structure Sensitivity too low (below 3) on sub-minute charts, as minor price noise may generate excess structural markings.
Disclaimer
This tool is built strictly for educational and analytical purposes. It does not provide financial advice or direct trading signals. Always practice proper risk management and position sizing. Indicator
Indicator
Vishal Trades Box StrategyVishal Trades Box Strategy
The Vishal Trades Box Strategy is a price action–based trading tool that automatically plots the previous trading session's High, Low, and Midpoint as a range box. The box is extended into the current trading session, allowing traders to identify key support, resistance, breakout, and rejection zones before the market opens.
By using the previous day's range, traders can quickly determine whether price is accepting or rejecting important levels, making it easier to plan high-probability entries, stop-loss placements, and profit targets. The strategy is designed to reduce chart clutter while keeping the most relevant market structure visible throughout the trading day.
Features:
Automatically plots the previous trading session's High and Low.
Draws the 50% midpoint of the previous day's range.
Extends the range into the current trading session.
Clean, lightweight, and non-repainting.
Works seamlessly on intraday timeframes.
Ideal for breakout, reversal, and range-bound trading strategies.
Suitable for stocks, indices, futures, and other liquid markets.
This indicator is built around the philosophy of keeping trading simple by focusing on important price levels rather than unnecessary indicators, helping traders make objective and disciplined trading decisions. Indicator
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Indicator
Fractal ZigZag with Retest & Filters By WiselyWealthIndicator ; Fractal ZigZag with Retest & Filters
Introduction
Welcome to the comprehensive guide for the 'Fractal ZigZag with Retest & Filters' indicator. This custom-built Pine Script indicator is an advanced technical analysis tool designed explicitly for the PulseWire platform. At its core, the primary objective of this script is to provide traders with high-probability entry signals by systematically filtering out market noise, avoiding false breakouts, and ensuring alignment with the overarching macroeconomic trend.
Many retail traders fall into the trap of entering positions during sudden, volatile price spikes, only to suffer heavy drawdowns when the market naturally pulls back. This script mitigates that risk by enforcing a strict, rules-based approach: identifying structural shifts, confirming the initial breakout, and mathematically demanding a pullback (or "retest") before issuing a final trading signal. Additionally, it features built-in alert conditions, making it perfectly suited for algorithmic traders who wish to automate their strategies via Webhooks, Telegram bots, or MT5 API integrations.
Technical Mechanism
The mechanical operation of this script is multi-layered, relying on a confluence of structural mapping, trend filtering, and volatility-based retest calculations. Here is a detailed, step-by-step technical breakdown of how the script detects and generates its buy and sell signals:
Mapping Market Structure with Williams Fractals:The foundation of the script relies on identifying key swing highs and swing lows using Williams Fractals. By default, the indicator evaluates a 5-bar lookback and look-forward period to pinpoint these structural pivots. Once a valid upward or downward fractal is identified, the script connects them using a dynamic ZigZag line. This creates an unambiguous visual map of the market's underlying structure, cleanly displaying the sequence of higher highs or lower lows.
Initial Breakout Identification: The indicator actively monitors the current closing price in relation to the most recently confirmed fractal levels. A raw bullish breakout is registered the moment a candle closes definitively above the last established fractal high. Conversely, a raw bearish breakout is noted when the closing price drops below the most recent fractal low. To prevent redundant alerts, the script locks the current trend state upon a successful breakout.
The ATR-Based Retest Engine: This is the most sophisticated aspect of the indicator. When "Enable Retest Mode" is activated, the script refuses to issue an immediate entry signal at the exact moment of the breakout. Instead, it uses the Average True Range (ATR) over a 14-period lookback to measure current market volatility. For a bullish setup, it calculates a "Retest Target" by subtracting a user-defined ATR multiplier (default 1.0) from the breakout close price. It then starts a countdown timer, allowing a maximum number of candles (default 3) for the price to drop back down and touch this target. If the pullback is successful within the time limit, the raw buy signal is triggered. If the time expires without a retest, the setup is safely invalidated.
Macro Trend Filtering: Before finalizing any signal, the script consults a 200-period Exponential Moving Average (EMA). If the trend filter is enabled, a buy signal is entirely suppressed unless the closing price is strictly above the EMA200. Sell signals similarly require the price to remain below the EMA200. Users can also force the script into a "Buy Only" or "Sell Only" mode to align with their long-term directional bias.
How to Use and Best Practices
To extract maximum profitability and accuracy from this script, traders must apply the correct settings and deploy it in appropriate market environments.
Recommended Settings and Configuration:
Conservative Swing Trading: Ensure the EMA200 Trend Filter remains enabled to keep you on the side of institutional momentum. You may also want to increase the Fractal Periods from 5 to 7 or 9. This filters out minor price fluctuations and forces the script to base its breakouts on major structural swing points.
Retest Calibration for Volatility:** The default ATR multiplier is 1.0, and the wait limit is 3 candles. If you are trading on lower timeframes (e.g., 5-minute or 15-minute charts), breakouts can take slightly longer to retest. Consider increasing the "Max Candles to wait" to 5 or 6. For highly volatile assets, increasing the ATR Multiplier to 1.5 can help you secure a deeper, more favorable pullback entry.
Directional Lock: If higher timeframe analysis dictates a strong bull market, use the "Trade Direction" setting to restrict signals to "Buy Only," eliminating counter-trend noise during minor market corrections.
Suitable Markets and Timeframes:
Forex and Indices: This indicator performs exceptionally well on major Forex pairs (EUR/USD, GBP/JPY) and Global Indices (US30, NAS100) on the 1-Hour and 4-Hour timeframes. These assets heavily respect market structure, and liquidity grabs (retests) are highly common after structural breakouts.
Cryptocurrency: Bitcoin and Ethereum on the 15-minute to 1-Hour charts are excellent candidates, provided you adjust the ATR multiplier to account for crypto's volatile, whipsaw movements.
Markets to Avoid: Avoid using this script in heavily consolidated, range-bound, or sideways markets. Breakout and trend-continuation logic inherently struggles during prolonged periods of low volatility, where price chops indiscriminately around the 200 EMA without clear directional follow-through. Indicator
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Strategy
EZ$ AMDBrief update description
EZ$ AMD Extreme Distribution v2.2 refines the indicator around higher-timeframe AMD narrative and precise lower-timeframe execution. Its primary purpose is to identify one high-quality AMD BUY near the lowest qualified manipulation area or one AMD SELL near the highest qualified manipulation area.
AMD signals require a completed accumulation period, manipulation beyond the accumulation range, a meaningful external-liquidity sweep, a confirmed reclaim, microstructure shift, displacement, and majority multi-timeframe bias agreement. The default model uses 4-hour AMD with 1-minute or 5-minute execution, making it suitable for Asia, London, and New York trading.
The live higher-timeframe candle synchronizes with the selected AMD model and changes color in real time:
Yellow: accumulation or waiting
Aqua: low-side manipulation
Purple: high-side manipulation
Green: bullish distribution
Red: bearish distribution
Standard BUY/SELL signals are optional and disabled by default. Support/resistance and higher-timeframe supply/demand origin zones remain available as visual context without independently creating AMD entries.
Settings guide
1. Recommended: AMD extreme signals only
This is the cleanest setup and the one I recommend.
Simple Signal Engine
Setting Value
Standard BUY / SELL Display Off
Confirm Signals on Candle Close On
Signal Gap 8
Microstructure Length 2
Displacement Range × ATR 0.80
Displacement Body ÷ Range 0.60
This removes ordinary reaction signals and leaves AMD as the main entry engine.
Optimal Higher-Timeframe Signals
Setting Value
Show Confirmed HTF BUY / SELL Off
This prevents additional HTF labels from appearing.
Bias Dashboard
Setting Value
Show Bias-Only Dashboard On
Use Confirmed HTF Candles On
Count 5m, 15m, 1H, 2H, 4H, Daily All On
Minimum Matching Biases 4
An AMD BUY requires at least four bullish timeframes, while an AMD SELL requires at least four bearish timeframes. The aligned side must also outnumber the opposing side.
AMD settings
Setting Value
Show 4-Hour AMD On
All other AMD timeframes Off
Show AMD Extreme-Level Signals On
Hide Standard Signals When AMD Signals Are On On
AMD Signals Only on 1m / 5m Charts On
AMD Signal Timeframe 4H
Require External Level Liquidity Sweep On
Require Close Back Through Swept Level On
Require Microstructure Shift + Displacement On
One AMD Signal Per Candle On
Use Accumulation High / Low On
Use Selected AMD Candle Open Off
AMD Zone Trigger Mode Deepest Zone Reaction
Use HTF Origin Zones for AMD Location On
Use HTF Zone Edges + Midpoint On
Require Level Cluster Inside HTF Zone On
Minimum Levels in Cluster 2
Show Manipulation Extreme Diamond Off
This is the strict A+ configuration.
2. Structural-zone visuals
For your 4-hour AMD and 1-minute execution workflow:
Setting Value
Zone Model Adaptive
Chart Timeframe Zone Off
5-Minute Zone Off
15-Minute Zone Off
1-Hour Zone Off
2-Hour Zone Off
4-Hour Zone On
Daily Zone Off
Show Interaction Volume Off
Show Timeframe + Zone Type On
Use Visible Zones for Standard Signals Off
Require FVG / Imbalance for S/D On
Maximum S/D Retests 1
The 4-hour supply/demand origin zone remains visible and can improve AMD location, but it does not create an entry by itself.
3. Key levels
Keep these on:
Camarilla H4/L4
Previous day high/low
Previous week high/low
Previous 4-hour high/low
Asia high/low
London high/low
New York high/low
Overnight high/low
Keep these off for less noise:
Central Pivot
H3/L3
Daily, weekly, and monthly opens
Previous mids
Monday levels
Quarter levels
Yearly levels
Timed opens
The highs become possible SELL-side liquidity, and the lows become possible BUY-side liquidity.
4. Live AMD candle
Setting Value
Show Live HTF Candle On
Sync Live Candle to AMD Signal Timeframe On
Color Live Candle by Real-Time AMD Phase On
Show Timeframe Label On
Show Candle Timer On
The candle color is developing visual context. An actual AMD signal still requires a confirmed execution candle.
To show regular BUY/SELL signals too
Use:
Setting Value
Standard BUY / SELL Display Bias-Aligned Only
Hide Standard Signals When AMD Signals Are On Off
Show AMD Extreme-Level Signals On
This displays both:
Ordinary bias-aligned BUY/SELL
Strict AMD BUY/AMD SELL
For even stricter ordinary signals, turn Use AMD to Filter Standard Signals on. Ordinary BUY/SELL signals will then require matching AMD distribution.
I would leave this off initially because your primary focus is the AMD extreme signal.
To show only regular signals
Setting Value
Standard BUY / SELL Display Bias-Aligned Only
Show AMD Extreme-Level Signals Off
Show Confirmed HTF BUY / SELL Off
This returns the indicator to ordinary level reactions filtered by majority bias.
To show no signals at all
Use this visual-only mode:
Setting Value
Standard BUY / SELL Display Off
Show AMD Extreme-Level Signals Off
Show Confirmed HTF BUY / SELL Off
Show Manipulation Extreme Diamond Off
You may still keep these visible:
4-hour AMD boxes
Live AMD candle
Bias dashboard
Key levels
4-hour supply/demand zone
This provides AMD market context without any entry symbols.
When no AMD signal appears
That does not necessarily mean the indicator is malfunctioning. Under the recommended settings, all of these must qualify:
You are using a 1-minute or 5-minute chart.
The 4-hour accumulation period completed.
Price manipulated beyond the correct accumulation boundary.
An external high or low was swept.
Price closed back through the swept level.
Price reclaimed into the accumulation range.
Microstructure shifted.
Displacement confirmed.
At least four of six biases agreed.
The required level cluster or HTF origin-zone condition qualified.
No earlier AMD signal was already issued for that 4-hour model.
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