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Market Structure [Proozac]Market Structure — HH · HL · LH · LL
Labels every significant swing as a Higher High, Higher Low, Lower High, or Lower Low, then draws Break of Structure (BOS) and Change of Character (CHoCH) lines automatically. The result is a clean structural map of the market directly on the price chart, with no manual markup required.
How it works
The indicator uses Pine's built-in pivot detection to find confirmed swing highs and lows. A swing is only confirmed after `Swing Length` bars have closed on each side — meaning labels always appear slightly to the left of the current bar, which is the correct behavior for non-repainting detection.
Pivot High logic:
- If the new swing high is above the previous swing high → labeled **HH** (bullish continuation)
- If the new swing high is below the previous swing high → labeled **LH** (bearish continuation)
- When a HH forms after a bearish trend → a **CHoCH** line is drawn (first sign of structural flip)
- When a HH forms during an already-bullish trend → a **BOS** line is drawn (continuation confirmed)
Pivot Low logic:
- If the new swing low is below the previous swing low → labeled **LL** (bearish continuation)
- If the new swing low is above the previous swing low → labeled **HL** (bullish continuation)
- When a LL forms after a bullish trend → **CHoCH** (structural reversal signal)
- When a LL forms during a bearish trend → **BOS** (continuation confirmed)
The zig-zag line connects consecutive pivot points in chronological order, giving a quick visual read of the overall swing sequence.
Visual output
- 🟢 HH label (above bar) → Higher High — bullish structure
- 🟢 HL label (below bar) → Higher Low — bullish pullback held
- 🔴 LH label (above bar) → Lower High — bearish structure
- 🔴 LL label (below bar) → Lower Low — bearish continuation
- 🔵 Dashed line + BOS +/− label → Break of Structure (trend continuation)
- 🟠 Dashed line + CHoCH +/− label → Change of Character (potential reversal)
- Gray zig-zag line → swing sequence connector
- Subtle background tint → green during bullish bias, red during bearish bias
- Live label on last bar → current structural bias ("Bullish" / "Bearish" / "Undefined")
Configurable parameters
Detection
- Swing Length — number of bars required on each side to confirm a pivot (default 10). Lower values = more sensitive, more noise. Higher values = fewer but more significant pivots
- Show Zig-Zag — toggle the connecting line between swings
- Show BOS / CHoCH — toggle the structural break lines and labels
Labels
- Individual toggles for **HH**, **HL**, **LH**, and **LL** labels
Colors
- Bullish Structure — color used for HH and HL labels (default teal)
- Bearish Structure — color used for LH and LL labels (default red)
- Zig-Zag Line — color of the swing connector
- BOS — color for Break of Structure lines (default blue)
- CHoCH — color for Change of Character lines (default orange)
Recommended use
Start with the default swing length of 10 on your primary timeframe and only adjust if the swing count feels too noisy (lower it) or too sparse (raise it). On 15m and 1H charts, 10 works well for most instruments. On daily charts, consider dropping to 5–7.
CHoCH is the early signal — it's the first opposite-direction structural break after a trend. BOS confirms the new trend is continuing. The highest-probability setups occur when you see a CHoCH, then a pullback that holds as a HL or LH, followed by a BOS in the new direction.
Pair this indicator with the Liquidity Sweep Detector: a sweep of the last HL (in a bullish structure) followed by a BOS to the upside is one of the cleanest confluences available in price action trading.
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High Volume Pivot Support & Resistance Zones [BigBeluga]High Volume Pivot Support & Resistance Zones is a market-structure indicator built for TradingView. It helps traders find key support and resistance levels by looking for major pivot points backed by institutional volume.
Instead of drawing simple unweighted lines, this tool tracks the volume of swing highs and lows. When a high-volume pivot is found, the script creates a dynamic zone box on your chart and fits a live Cumulative Volume Delta (CVD) trendline inside it. This lets you monitor real-time buying and selling pressure exactly where the market is most likely to reverse.
🔵 MAIN ENGINE & VOLUME ZONE LOGIC
1. Volume-Validated Pivots
Swing Isolation Fields: The tool uses customizable lookback settings ( Resistance/Support Pivot Length ) to find prominent structural swing highs and lows.
Institutional Volume Filters: Every new swing point is checked against a volume baseline ( Volume MA Length ). A zone is only plotted if the pivot bar's volume beats the baseline multiplier ( Volume Threshold Multiplier ), filtering out weak retail moves.
2. Embedded Zone CVD Lines
Intra-Box Order Flow Tracking: The script counts the volume delta (buying volume minus selling volume based on candle closes) from the exact bar the pivot formed.
Normalized Inside the Box: Using custom polylines, the script scales and plots the rolling CVD trend directly inside the height of the zone box. This lets you see order-flow accumulation without cluttering your screen with bottom dashboard panels.
Live Labels: A small text readout updates on the leading edge of the box, showing the current net CVD volume.
// Normalize and scale running CVD values perfectly inside the zone box coordinates
normalizeDeltaToBox(float currentDelta, float minDelta, float maxDelta, float boxBottom, float boxTop) =>
float rangeDelta = maxDelta - minDelta
float rangeBox = boxTop - boxBottom
rangeDelta == 0 ? boxBottom + rangeBox / 2 : boxBottom + (currentDelta - minDelta) / rangeDelta * rangeBox
🔵 DYNAMIC ZONE FLIPS & SIGNALS
1. Support and Resistance Flips
Automatic Re-Coloring: When a strong candle close breaks entirely through a zone, the script changes its role. Broken resistance boxes switch to your Support Zone Color (yellow), and broken support boxes turn into your Resistance Zone Color (blue).
Border Style Changes: The box outline instantly switches from a solid line to a dashed line the moment a zone is breached, flagging a clear shift in institutional liquidity.
2. Retest and Breakout Plots
Breakout Arrows: The system prints clean triangle up or down arrows ( ▲ or ▼ ) on your chart labeled "Res Breakout" or "Sup Breakdown" the exact bar a zone boundary fails.
Proximity Retest Shapes: It plots tiny circle markers when price pulls back to successfully test a normal support/resistance hold. If price tests a broken zone that has reversed roles, it prints a diamond marker to flag an advanced flipped S/R retest.
// Zone Breakout and Role Inversion Logic snippet
if close > rTop
box.set_bgcolor(lastResBox, color.new(supColor, 90))
box.set_border_color(lastResBox, supLine)
box.set_text_color(lastResBox, supLine)
box.set_border_style(lastResBox, line.style_dotted)
if not resBroken
triggerResBreak := true
resBroken := true
🔵 TRADING STRATEGIES & RISK
CVD Absorption Entries: When price rallies up into a blue resistance box, check the internal dotted CVD line.
If price pushes high into the box but the internal CVD trend slopes down, sellers are absorbing the buy orders. This sets up a high-probability short entry.
Flipped Support Re-Entries: When a bullish breakout triggers a "Res Breakout" arrow, wait for price to pull back to the top border of the broken box. A clean bounce marked by a diamond shape confirms the old resistance has flipped to support, offering a safe continuation trade.
Clear Risk Invalidation floors: You can use the exact borders of the generated boxes to place your stop loss. If you buy a support hold retest, your clear risk invalidation point sits right below the bottom line of that specific support box.
🔵 SETTINGS & CONFIGURATION
Pivot Geometry Controls: Easily fine-tune lookback lengths and volume multipliers to adapt the indicator for volatile crypto assets, indexes, or liquid forex pairs.
Visual Zone Overrides: Adjust background colors, transparency levels, and text label sizing to match your dark or light charting interface seamlessly.
Clean up your layout and trade with volume-weighted precision using the High Volume Pivot Support & Resistance Zones terminal. אינדיקטור
US Sector Rotation vs SPY - Relative StrengthUS Sector Rotation vs SPY vergleicht die Performance der wichtigsten US-Sektor-ETFs mit dem S&P-500-Benchmark SPY.
Das Script dient dazu, relative Stärke und Schwäche einzelner Sektoren schneller zu erkennen. Dadurch lassen sich Marktrotationen besser einordnen und potenziell interessante Sektoren für die weitere Underlying-Auswahl identifizieren.
Enthalten sind unter anderem die großen US-Sektor-ETFs wie XLK, XLC, XLY, XLI, XLB, XLE, XLP, XLV, XLU, XLF und XLRE. SPY dient als Benchmark.
Das Script berechnet die Performance direkt im Pine Script. Deshalb sollte die TradingView-Skala regulär bleiben und nicht zusätzlich auf Prozent oder indexierte Darstellung umgestellt werden.
Funktionen:
Vergleich der absoluten Sektor-Performance
Darstellung der relativen Performance gegenüber SPY
wählbare Performance-Fenster: 21, 63, 126, 252 oder eigene Handelstage
Standardwert für eigene Handelstage: 90
Ranking-Tabelle nach relativer Stärke gegenüber SPY
Startpunkt-Markierung der Performance-Berechnung
optionale Endlabels mit Verbindungslinien
Interpretation:
Ein positiver Wert in der Spalte „vs SPY“ zeigt, dass der jeweilige Sektor den Gesamtmarkt im gewählten Zeitraum outperformt. Ein negativer Wert zeigt relative Schwäche gegenüber SPY.
Das Script ist kein Entry- oder Exit-Signal. Es ist als Analysewerkzeug gedacht, um Sektorrotation, relative Stärke und mögliche Underlying-Kandidaten besser vorzuselektieren.
Für Stillhalterstrategien wie Short Puts oder Bull Put Spreads kann die Ansicht helfen, Sektoren mit stabiler oder überdurchschnittlicher relativer Stärke zu identifizieren. Die finale Bewertung sollte jedoch immer zusätzlich Liquidität, IV Rank, Bid/Ask-Spreads, Unterstützungszonen, Earnings- und Eventrisiken sowie Positionsgröße berücksichtigen. אינדיקטור
[ A L P H A X ] MERIDIAN - Session Intelligence EngineAlphaX MERIDIAN — Session Intelligence Engine: Multi-Session Range Tracking, Prior Session Break & Retest, Opening Range Breakout, Meridian Bounce & 7-Layer Confluence Scoring
AlphaX MERIDIAN is a professional-grade session-based trading system built around the foundational truth that institutional price delivery is not random across the clock — it is organized by session. The Asian session defines the overnight range. London breaks it. New York confirms the direction or reverses it. Every major intraday move originates from one of three specific events: a break and retest of the prior session's high or low, a breakout of the opening range, or a pullback to the session's meridian equilibrium level. MERIDIAN detects all three in real time across all three global trading sessions, scores every potential entry through a 7-layer confluence engine, and fires signals only when session bias, VWAP positioning, HTF alignment, volume, and setup quality all confirm simultaneously. The result is a system that puts every trade in its correct session context — not just where price is, but which session it is in , what the prior session established , and where the institutional session bias currently sits . Designed for active traders across forex, gold, indices, and crypto on M1 through H1 timeframes.
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🌐 The Session Framework — Why Sessions Define Institutional Flow
Every liquid market is driven by three geographically separated groups of institutional participants operating in overlapping but distinct time windows: Asian banks and sovereign funds, European institutional desks and London market makers, and American institutional desks and New York banks. Each group has a characteristic trading behavior that shapes price during their active window.
Asian Session — The Range Builder:
During Asian hours, liquidity is thinner and price tends to consolidate or range within a defined high-low channel. The Asian session range represents the overnight consolidation — the zone where price equilibrates before the European open. The extremes of the Asian range are the first liquidity pools that London will target.
London Session — The Trend Initiator:
London is the world's most liquid trading session. European institutional desks frequently break the Asian range in the first hours of the London open — hunting the liquidity sitting above and below the overnight extremes before establishing the day's primary directional trend. The London opening range (the first N minutes of the session) frequently establishes the high or low of the day.
New York Session — The Confirmer or Reverser:
New York either confirms the London trend with continuation, or reverses the late-London move in the early New York hours. The London/NY overlap (typically 13:00–17:00 UTC) is the highest-volume period of the day and frequently produces the largest directional moves.
MERIDIAN is built around this three-session cycle. The prior session's high, low, and meridian are the key reference levels. The opening range of London or NY is the breakout reference. The session VWAP and meridian divide the current session into institutional premium (above) and discount (below). Every signal is evaluated in the context of which session it occurred in and what the prior session established.
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⏱ Session Tracking Engine
MERIDIAN runs a fully independent session tracking system for all three global sessions simultaneously, configurable to any timezone.
Session detection:
Each session is defined by a configurable start and end hour in the selected timezone (default: UTC). The session engine detects the active session on every bar and correctly handles overnight sessions (sessions that span midnight). When no configured session is active, the system enters an OFF state and session-based calculations pause.
Session-by-session OHLC tracking:
From the first bar of each session, MERIDIAN tracks the rolling high, low, and open of the session in real time. Every new bar within the session extends these values — the session high and low expand with price, and the session meridian recalculates continuously as the range develops.
Session transition logic:
When a session changes, the completed session's high, low, and meridian are stored as the prior session reference. These prior session values persist until the next completed session overwrites them — giving you continuous access to the most recently completed session's key levels at all times.
Session VWAP (Volume Weighted Average Price):
A true session-anchored VWAP is computed from the first bar of each session — cumulative volume-weighted price divided by cumulative volume since the session open. This produces the purest possible VWAP calculation anchored to the correct institutional reference point: the session's opening bar.
Session Meridian (Equilibrium):
The midpoint of the current session's high-low range — (session high + session low) / 2. This level is the MERIDIAN line, plotted as a purple dotted line on the chart. It represents the current session's equilibrium — above is institutional premium, below is institutional discount, relative to where the session has traded.
Current session box:
The full range of the active session is visualized as a lightly tinted box extending from the session start bar to the current bar. Asian session boxes are gray, London boxes yellow-green tinted, and New York boxes red-tinted — providing immediate visual session identification across the chart.
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📍 Prior Session Levels — The Institutional Reference Grid
The most important reference levels in intraday trading are the extremes established by the prior session. These are not arbitrary horizontal lines — they represent the boundaries of the range where an entire session's worth of institutional activity occurred. Breaking these levels is how one session's institutional participants establish control over the next session's price delivery.
Prior Session High (red dashed):
The highest price reached during the most recently completed session. This is the sell-side resistance level — the level above which bears were unable to sustain prices in the prior session. A close above this level in the current session is a significant break of prior institutional resistance.
Prior Session Low (yellow-green dashed):
The lowest price of the prior session. This is the buy-side support level — where buyers successfully defended price in the prior session. A close below this level represents a break of prior institutional support.
Prior Session Meridian (purple dotted):
The midpoint of the prior session's range. This level frequently acts as a magnet — price is drawn to the prior session's 50% level on pullbacks, retracements, and continuation moves. It represents the most-traded price zone of the prior session in range-position terms.
All three prior session levels are plotted as forward-extending lines covering the relevant history window. The prior session name (ASIAN / LONDON / NEW YORK) is displayed on the dashboard so you always know which session's levels you are referencing.
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📦 Opening Range — The First N Minutes
The Opening Range (ORB) is one of the most consistently respected intraday reference structures across all liquid markets. It represents the range established in the first configurable number of minutes of the London or New York session (default: 30 minutes). Once the opening range is set, breakouts above and below its boundaries frequently produce the day's strongest directional moves.
How the opening range is built:
From the first bar of each London or New York session, MERIDIAN accumulates the highest high and lowest low across all bars that fall within the opening range time window. Once a bar falls outside the ORB time window, the range is locked — the ORB high and ORB low are fixed for the remainder of the session.
ORB visualization:
The completed opening range is rendered as an orange-tinted box on the chart, spanning from the first ORB bar to the last ORB bar. This box remains on the chart as a reference level for the session.
Dashboard ORB status:
The dashboard displays the ORB status as FORMING (while the range is still building) or SET (once locked), along with the exact ORB high and low prices. This gives you advance notice before the ORB is complete — you can watch it forming in real time and prepare for the Setup B breakout signal.
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📊 Session Bias — VWAP and Meridian Positioning
MERIDIAN defines the current session's directional bias through two independent price positioning checks that together create a clear institutional bias reading.
VWAP bias:
Price above the session VWAP indicates institutional net-buying for the session — the volume-weighted average of all transactions favors the bull side. Price below indicates net-selling. The VWAP bias is updated on every bar as new volume flows in.
Meridian bias:
Price above the session meridian (the session range midpoint) means price is in the upper, premium half of the session range. Price below is in the discount half.
Combined session bias:
sessBull — price is both above VWAP and above the session meridian. Both the volume-weighted and range-position measures confirm bullish institutional bias
sessBear — price is both below VWAP and below the session meridian. Both measures confirm bearish institutional bias
This combined bias is the most important single dashboard reading in MERIDIAN. A bullish session bias means the institutional context favors long entries. A bearish session bias favors shorts. Entries against the combined session bias carry the highest failure rate of any MERIDIAN setup.
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🏷 Three Setup Types — A, B, and C
MERIDIAN fires signals through three distinct setup configurations, each representing a different institutional entry scenario anchored to session-based reference levels. All three can be enabled simultaneously.
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Setup A — Prior Session Break & Retest
The most institutionally significant setup type. Fires when:
The current session's price closes above the prior session high (long) or below the prior session low (short) — the structural break of the prior session's boundary
Within 30 bars of the break, price pulls back to within ATR tolerance of the broken level
A qualifying rejection candle forms at the retest — confirming the broken level has flipped from resistance to support (long) or support to resistance (short)
Why prior session break and retest is the highest-quality setup: When London breaks the Asian high and then retests it, the break has been confirmed as a genuine institutional breakout rather than a wick spike. The retest at the prior session level provides the optimal entry price — buying exactly at the prior resistance that has now become support, with the stop below the level and the continuation target above. This is the institutional "break, retest, continue" sequence that produces the cleanest risk/reward in session-based trading.
Break detection markers: Small semi-transparent circles appear above (prior high break) or below (prior low break) the bar that closes through the prior session boundary — alerting you that a pending retest setup is now active. The system tracks the pending retest for up to 30 bars. If no qualifying retest occurs within that window, the pending state expires.
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Setup B — Opening Range Breakout
The high-momentum setup type. Fires when:
The opening range has been fully set (ORB locked after the opening range period has elapsed)
Price closes above the ORB high (long) or below the ORB low (short) — the first close-based break of the opening range boundary
The close is on the correct side of the prior bar's close relative to the ORB level — confirming the break is not a wick through and back
A qualifying bull or bear rejection candle (minimum 50% wick ratio) confirms the breakout bar's directional commitment
Why the ORB breakout is a high-conviction institutional signal: The opening range represents the indecision of the first N minutes of a session — the market testing price levels before committing to a direction. The first body close beyond the ORB boundary is the signal that the indecision has resolved and institutional order flow has committed to a direction. The rejection candle requirement ensures the break was not passive drift but a genuine directional conviction bar.
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Setup C — Meridian Bounce
The continuation and trend-following setup type. Fires when:
The session bias is fully established (sessBull for long, sessBear for short)
Price pulls back to within ATR tolerance of the session meridian (the session range midpoint)
A qualifying rejection candle forms — confirming the meridian held and price is rejecting back in the bias direction
Why the meridian bounce is a reliable continuation entry: In a trending session where price is above VWAP and above the session midpoint (sessBull), the meridian represents the natural pullback target — the highest-volume price zone within the session's lower half. Institutional buyers who missed the initial move use meridian pullbacks to add to positions. The rejection at the meridian in a sessBull environment is the continuation entry that offers the tightest stop (just below the meridian) with the continuation toward the session high as the target.
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🧠 The 7-Layer Confluence Engine
Every potential entry across all three setup types is scored through the same 7-layer confluence engine. The minimum default is 5 of 7.
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Layer 1 — Session Bias (Combined)
Awards 1 point when the combined session bias (sessBull for long, sessBear for short) agrees with the signal direction. This requires both VWAP positioning and meridian positioning to be aligned — the strongest single session-level directional indicator available.
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Layer 2 — VWAP Positioning
Awards 1 point when price is on the correct side of the session VWAP — above for longs, below for shorts. The VWAP layer is available independently from the combined session bias layer. On bars where price is above VWAP but below the meridian (or vice versa), the session bias may not score but the VWAP layer still contributes.
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Layer 3 — HTF Bias
Awards 1 point when the higher timeframe EMA structure (default: 60-minute, 21/55 EMA pair) agrees with the signal direction. Ensures the session-level setup is aligned with the macro institutional flow. A session setup against the HTF trend carries the highest failure rate of any setup type.
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Layer 4 — Trading Session Enabled
Awards 1 point when the current session is one of the configured tradeable sessions (London and NY on by default, Asian off by default). This layer enforces session selectivity — preventing signals from firing during sessions you have chosen not to trade. If the Asian session is disabled for trading, Asian session signals are blocked at this layer regardless of how strong the other confluences are.
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Layer 5 — Volume Expansion
Awards 1 point when the current bar's volume exceeds the volume moving average by the configured minimum multiplier (default: 1.1×). Confirms that the rejection candle or breakout bar has genuine institutional participation behind it — not a low-volume drift through a reference level.
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Layer 6 — Rejection Candle Quality
Awards 1 point when a qualifying bull or bear rejection candle is present. Bull rejection requires a bullish close with the close-to-low distance exceeding 50% of the bar range. Bear rejection requires a bearish close with the high-to-close distance exceeding 50%. This layer ensures the reference level produced a visible, decisive price rejection — not a passive touch.
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Layer 7 — Setup Type Trigger
Awards 1 point when any of the three enabled setup types fires on the current bar — a prior session retest (Setup A), an ORB breakout (Setup B), or a meridian bounce (Setup C). This layer is both a confluence score contributor and a hard prerequisite — no signal can fire without at least one setup type triggering.
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🕯 Rejection Candle Confirmation
All three setup types require a qualifying rejection candle for a signal to fire. Two candle types qualify:
Bull rejection: A bullish close (close above open) where the distance from close to bar low exceeds 50% of the total bar range. The bar closed in its upper half — buyers dominated and rejected the level being tested.
Bear rejection: A bearish close where the distance from bar high to close exceeds 50% of the total range. The bar closed in its lower half — sellers dominated the rejection.
The same 50% wick threshold applies across all three setup types, ensuring every MERIDIAN signal has a consistent, minimum candle quality standard regardless of which session event triggered it.
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🎯 Session-Anchored Stop Loss Placement
MERIDIAN places the stop loss at the most conservative of several session-based reference levels, plus an ATR buffer.
For bull signals: The stop is placed at the minimum of the current bar's low, the prior session high (the retested level), the ORB low (if applicable), and the session meridian — whichever is lowest — minus the configured ATR buffer (default: 1.0× ATR). This ensures the stop is beyond the level that would structurally invalidate the signal.
For bear signals: The stop is at the maximum of the current bar's high, the prior session low, the ORB high, and the session meridian, plus the ATR buffer.
Dynamic TP target: The take profit is computed as `risk × R multiple` (default: 2.5R) from the entry close — adapting to the actual stop distance rather than using a fixed ATR projection. On entries where the session reference stop is very close to entry, this naturally produces a tighter target; on wider stops, the target scales accordingly.
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📊 Live Dashboard
The 16-row real-time dashboard displays the complete internal state across five sections.
SESSION
Active — the currently active session: ASIAN, LONDON, NEW YORK, or OFF
VWAP Bias — ▲ ABOVE or ▼ BELOW, showing whether price is above or below the session VWAP. Color-coded yellow-green and red
Meridian — the exact price of the current session's equilibrium midpoint (session high + low / 2), color-coded purple
PRIOR SESSION
Prior Sess — which session completed most recently: ASIAN, LONDON, or NEW YORK
Prior Hi / Lo — the exact high and low of the prior session displayed as a price pair. These are the Setup A reference levels
OPENING RANGE
ORB Status — FORMING (still within the ORB time window) or SET (locked, breakout mode active). Orange when SET
ORB Hi / Lo — the exact opening range high and low prices once the range is locked
FILTERS
HTF Bias — higher timeframe EMA alignment: ▲ BULL, ▼ BEAR, or — FLAT
CONFLUENCE
Bull Score — live 0–7 score. Background highlights yellow-green when threshold is met
Bear Score — live 0–7 score. Background highlights red when threshold is met
Live confluence label: During active sessions, a small label near the session box displays B x/7 · S x/7 in real time, updated every bar — identical to ANCHOR, PIVOT, and the other systems in the AlphaX suite.
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📈 Chart Visual System
Current Session Box — a lightly tinted box covering the full range of the active session from its first bar to the current bar. Gray for Asian, yellow-green tinted for London, red tinted for New York
Session VWAP (cyan) — the volume-weighted average price anchored to the session start, plotted as a solid cyan line. The most important intraday reference for institutional fair value
Session Meridian (purple dots) — the session range midpoint (50% of the current session's high-low range), continuously updated
Prior Session High (red dashed) — the completed prior session's high. Setup A reference level for long setups
Prior Session Low (yellow-green dashed) — the prior session's low. Setup A reference level for short setups
Prior Session Meridian (purple dotted) — the midpoint of the prior session's range
Opening Range Box (orange tinted) — the locked ORB from the session start to the end of the opening range period. Setup B reference box
● Break markers (semi-transparent circles) — appear above the bar (prior high break) or below (prior low break) at the moment of the structural break, signaling a pending retest opportunity
▲ Triangle (below bar, yellow-green) — long signal. All conditions confirmed across any of the three setup types
▼ Triangle (above bar, red) — short signal
Live confluence label — B x/7 · S x/7 near the current session range on the last bar
SL Guide (red dotted circles) — session-anchored stop loss reference level
TP Guide (yellow-green dotted circles) — dynamically computed reward target
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🚀 How to Trade with AlphaX MERIDIAN — Step by Step
Step 1 — Begin Each Session with a Reference Review
At the start of each London or NY session, check the dashboard for Prior Hi / Lo — these are your key Setup A reference levels for the session
Note the ORB Status — during the first 30 minutes of London or NY, watch the ORB forming. The ORB Hi / Lo will be your Setup B breakout reference once SET
Check HTF Bias — does the higher timeframe trend favor longs or shorts? This is the filter that determines which direction's signals you prioritize
Step 2 — Monitor Session Bias Development
As the session opens and develops, watch the VWAP Bias and Meridian rows on the dashboard. When both show ▲ ABOVE, the session bias is fully bullish — prioritize long setups. Both ▼ BELOW = prioritize shorts
Watch the live B/S score label near the session box. When the bull or bear score approaches the threshold, a signal may be imminent
Step 3 — Enter on the MERIDIAN Signal
A ▲ triangle below the bar confirms one of the three setup types has fired with sufficient confluence
Read the signal context: did price just retest the prior session high? Break the ORB? Bounce from the session meridian? The setup type determines which level your stop references
The SL and TP guides appear as dotted circles. The SL is the session-anchored structural stop. The TP is the R-multiple target
Setup A retests are the highest-quality entries — the prior session level has been validated as the new support/resistance. Setup B ORB breaks are highest-momentum. Setup C meridian bounces are best in strongly trending sessions
Step 4 — Manage Within the Session Context
Watch the session VWAP as the trade develops — price returning to VWAP during a long trade is a warning sign that session bias may be weakening
If the session meridian switches sides (price moves from above to below the session midpoint), the session bias has flipped. Consider tightening the stop or taking partial profit
Session transitions are exits: if London closes while you are in a trade, the session reference levels will update to New York levels on the NY open. Reassess the position in the context of the new session
Step 5 — End of Session Reset
At session end, the current session's high, low, and meridian become the prior session reference for the next session
The ORB resets for the new session's opening
Review the completed session's range and meridian before the next session opens — these become your Setup A reference levels going forward
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⚠ Identifying Low-Quality Conditions — When Not to Trade
Stand aside when:
Session shows OFF — no active session is being tracked. All signals are blocked and session reference levels may be stale
Session bias is split — VWAP and Meridian disagree — price above VWAP but below the session meridian (or vice versa) means the session has no clear institutional direction. The combined session bias layer will not score, reducing confluence quality
HTF Bias opposes the session bias — a bullish session bias against a bearish HTF means the current session is moving counter to the macro trend. These setups carry significantly higher reversal risk
ORB Status shows FORMING — the opening range has not been locked. No Setup B signals can fire. Do not anticipate the ORB breakout before the range is set
Prior Hi / Lo shows — on the dashboard — no completed prior session data is available. Setup A setups cannot fire. This occurs at the start of the first session after the chart loads
Confluence score is at minimum threshold exactly — when the score is at exactly the minimum and one or two filters are failing, the setup is borderline. Reduce position size or wait for a higher-quality signal
Multiple setup types firing simultaneously in the same direction — this is usually a positive signal, but verify the session context. If the ORB breakout, prior session retest, and meridian bounce are all triggering at the same time in the same bar, one of them is likely being triggered by coincidental price overlap rather than genuine session mechanics
The ideal MERIDIAN setup:
London or NY session active with tradeSessOk confirmed
HTF Bias and Session Bias both aligned in the same direction
Prior session high or low recently broken (Setup A pending) OR ORB locked and ready for Setup B
Price returning to the reference level with VWAP and Meridian both on the correct side
Strong rejection candle with volume above average
Confluence score at 6/7 or 7/7
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⚡ Key Features
🌐 Three-session tracking engine — Asian, London, and New York sessions tracked simultaneously with configurable start/end hours and timezone support
📊 Session-anchored VWAP — true cumulative VWAP computed from the first bar of each session, providing the most accurate institutional fair value reference per session
📍 Prior session levels — high, low, and meridian of the most recently completed session maintained and displayed as dashed reference lines
📦 Opening Range Box — first N minutes of London/NY captured as an orange ORB box with live FORMING / SET status. Breakout reference for Setup B
⚖ Session Meridian (Equilibrium) — the session range midpoint plotted as a purple dotted line, the equilibrium level for Setup C bounces and the combined session bias divider
🏷 Three setup types — Setup A (Prior Session Break & Retest), Setup B (Opening Range Breakout), Setup C (Meridian Bounce) — all configurable independently
🔮 Pending retest tracking — 30-bar retest window after every prior session break, with break circle markers at the moment of the structural break
🧠 7-layer confluence engine — Session Bias, VWAP Position, HTF Bias, Trading Session Gate, Volume Expansion, Rejection Candle, and Setup Type Trigger scored independently every bar
📊 Live confluence label near the session box — B x/7 · S x/7 updating in real time on the current bar
🎯 Session-anchored stop loss — stop placed at the most conservative of multiple session reference levels, not a fixed ATR distance
💹 Dynamic R-multiple TP target — computed as risk × R multiple, adapting to the actual stop distance
📡 HTF EMA bias filter — dual-condition higher timeframe alignment (EMA crossover + price confirmation)
⏱ Session trading filter — independently enable or disable signal firing for each of the three sessions
🎨 Session-coded color system — session box tints differentiate Asian (gray), London (yellow-green), and New York (red) at a glance
📊 16-row live dashboard — Session, Prior Session, Opening Range, Filters, and Confluence sections updated in real time
🔔 6 alert conditions — long/short entry, prior high/low break, ORB long/short breakout
⚙ Fully configurable — all session hours, timezone, ORB duration, setup type enables, confluence minimum, HTF timeframe and EMAs, volume filter, session trading gates, SL buffer, R-multiple target, and all colors are independently adjustable
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⚙ Settings Reference
Session Engine
Session Timezone — UTC / America/New_York / Europe/London / Asia/Tokyo. Set to your preferred reference timezone
Track Asian Session — toggle Asian session tracking on or off
Asian Start / End (hour) — hour boundaries for the Asian session in the selected timezone (defaults: 0 / 8)
Track London Session — toggle London session tracking
London Start / End (hour) — hour boundaries for London (defaults: 8 / 13)
Track NY Session — toggle New York session tracking
NY Start / End (hour) — hour boundaries for NY (defaults: 13 / 21)
Opening Range (mins) — the number of minutes from the session open used to build the ORB (default: 30)
Entries & Confluence
Setup A · Prior Session Break & Retest — toggle the break-and-retest setup type
Setup B · Opening Range Breakout — toggle the ORB breakout setup type
Setup C · Meridian Bounce — toggle the session equilibrium bounce setup type
Retest Tolerance (xATR) — maximum ATR distance from the reference level that still qualifies as a retest (default: 0.35)
Min Confluence Layers (of 7) — minimum score to fire a signal (default: 5)
Show Entry Signals — toggle signal triangles
Show Confluence Label — toggle the live B/S score label near the session box
Signal Cooldown (bars) — minimum bars between consecutive signals (default: 6)
Filters
HTF Trend Filter — toggle the higher timeframe EMA alignment requirement
HTF Timeframe — the higher timeframe for EMA data (default: 60-minute)
HTF Fast / Slow EMA — EMA periods on the HTF (defaults: 21 / 55)
Volume Confirm — when on, entry volume must exceed the average by the minimum multiplier
Min Volume vs Avg — minimum volume ratio (default: 1.1)
Volume Avg Length — SMA length for volume baseline (default: 20)
Trade London Session — when on, signals can fire during London hours
Trade NY Session — when on, signals can fire during NY hours
Trade Asian Session — when on, signals can fire during Asian hours (default: off — Asian sessions typically produce lower-quality setups)
Exit Guidance
ATR Length — ATR calculation lookback (default: 14)
Show SL / TP Guides — toggle stop and target dotted circle plots
SL Distance (xATR) — ATR buffer added beyond the session-anchored stop reference (default: 1.0)
TP Reward (R) — take profit as a multiple of the actual risk from entry to stop (default: 2.5)
Display
Show Current Session Box — toggle the session range box
Show Prior Session H/L — toggle prior session high, low, and meridian dashed lines
Show Session VWAP — toggle the session VWAP line
Show Opening Range Box — toggle the ORB orange box
Show Dashboard — toggle the full dashboard panel
Dashboard Position — Top Left / Top Right / Bottom Left / Bottom Right
Colors
Bull / Bull Bright — yellow-green family for all bullish signals and London session elements
Bear / Bear Bright — red family for all bearish signals and NY session elements
Opening Range — orange for ORB box and status indicators
Meridian / EQ — purple for session meridian, prior session meridian, and equilibrium elements
Session VWAP — cyan for the session VWAP line
SL Guide / TP Guide — stop and target circle colors
Dash Text / Dash BG / Dash Header / Dash Section / Dash Frame — full dashboard color control
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🔔 Alert Conditions (6 total)
Entry Alerts
Meridian Long — all conditions confirmed. Long signal fired
Meridian Short — all conditions confirmed. Short signal fired
Structure Alerts
Meridian Break Prior High — price has closed above the prior session high. Setup A long retest window is now active — watch for the retest
Meridian Break Prior Low — price has closed below the prior session low. Setup A short retest window is now active
Opening Range Alerts
Meridian ORB Long — opening range broken to the upside with all setup and confluence conditions confirmed
Meridian ORB Short — opening range broken to the downside with all conditions confirmed
All alert messages are formatted as const strings for clean webhook and notification platform integration.
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🎯 Recommended Settings by Instrument & Timeframe
The default configuration is optimized for XAUUSD, major forex pairs, and indices on M5–M15 in UTC timezone:
Session hours in UTC — gold and forex are most active during London (08:00–13:00) and NY (13:00–21:00) hours. Asian session trading is disabled by default for clean intraday setups
ORB at 30 minutes — the classic institutional opening range. The first 30 minutes of London and NY frequently establish the session's directional commitment
Retest tolerance at 0.35× ATR — sensitive enough to catch genuine retests on M5–M15 without requiring price to tick exactly at the level
TP Reward at 2.5R — session-based setups on gold and forex typically produce moves sufficient to achieve 2.5R when the session bias is correctly identified
For other instruments or timeframes, adjust:
M1–M3 scalping — reduce Cooldown to 3, reduce SL Buffer to 0.5, reduce TP Reward to 1.5–2.0, use tighter Retest Tolerance at 0.2
H1 intraday swing — increase ORB to 60 minutes (capturing the first full H1 candle), increase Retest Tolerance to 0.5, increase TP Reward to 3.5–4.0, set HTF to H4 or Daily
Crypto (BTC, ETH) — use UTC timezone, enable all three sessions (crypto trades 24/7), reduce retest tolerance to 0.25 for the narrower wicks typical of crypto support/resistance retests
Indices (NAS100, US30) — focus exclusively on NY session (13:30–20:00 UTC for US equity cash session), disable London trading for equity index instruments, tighten ORB to 15 minutes (the US equity opening range is frequently set in the first 15 minutes)
More signals — lower Min Confluence to 4, enable Asian trading, disable volume filter
Highest-quality only — raise Min Confluence to 6–7, enable only Setup A and B (disable meridian bounce), require London and NY only
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👥 Who This Is For
⏱ Session traders and market structure players — MERIDIAN is the definitive session intelligence system. Every reference level, every bias indicator, and every signal type is anchored to the session clock
🥇 Gold (XAUUSD) and forex intraday traders — the three-session framework is most powerful on instruments where London and New York session transitions drive the most significant intraday moves. Default settings are calibrated for gold and major forex pairs
📊 Opening range traders — the ORB system provides a complete, rules-based opening range breakout framework with confluence scoring, volume confirmation, and rejection candle quality filtering
🎯 Break-and-retest traders — Setup A is the quantitative implementation of the prior session break and retest — the most reliable institutional intraday pattern across all liquid markets
🧠 Traders who use VWAP as a primary reference — the session-anchored VWAP and the VWAP-based bias scoring system make MERIDIAN the ideal companion for any VWAP-centric trading approach
📈 Traders who want session context on every trade — every signal label, every dashboard row, and every reference level in MERIDIAN tells you exactly where you are in the session cycle and what the institutional context is
⚠ Traders who struggle with time-of-day discipline — the session trading gates (enable/disable individual sessions) enforce time-of-day discipline automatically. If you do not trade the Asian session, disable it and no Asian signals will ever appear
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📝 Notes
All signals are confirmed on bar close — the indicator is non-repainting by design. Session state, VWAP, meridian, ORB values, and confluence scoring all finalize on confirmed bars only
The session boxes and prior session lines are redrawn on the last bar only for chart performance. On very fast timeframes with long chart history, this redraw happens on every new bar's render — this is normal behavior for last-bar-only visual updates
The VWAP is a true session-anchored VWAP — it resets at each session's first bar and accumulates correctly through the entire session. It is not a daily VWAP or a rolling VWAP
The prior session data updates at session transitions. On the very first session after the chart loads, no prior session data may be available — the Prior Hi / Lo dashboard rows will show — until the first session completes
The 30-bar retest window for Setup A (prior session break and retest) starts from the bar of the break. If no retest occurs within 30 bars, the pending retest state expires. On slower timeframes (H1), 30 bars may cover many hours — consider reducing the window or accepting that H1 retests sometimes take longer to develop
Maximum 500 labels, 500 lines, and 50 boxes are rendered. With three sessions each potentially drawing boxes and lines, the limit is practically sufficient for standard chart history. On very long chart histories on very fast timeframes, the oldest visual elements may be removed by TradingView's rendering limits
The session timezone setting must match the timezone in which you want session boundaries defined. UTC is the default and recommended for instruments that trade globally. For US equity index traders, America/New_York may be more intuitive
The indicator does not connect to any broker or account — the dashboard and signals are purely analytical
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⚠ Disclaimer
This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal type does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator.
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Built for traders who understand that the market tells a different story in every session — and who want a system that reads each chapter in real time. אינדיקטור
NLMS Volatility Trail [BackQuant]NLMS Volatility Trail
Overview
NLMS Volatility Trail is an adaptive trend-following overlay that combines a machine-learning style adaptive filter with a volatility-based trailing structure. It is built around the Normalized Least Mean Squares (NLMS) algorithm, then converts that adaptive estimate into an ATR-based trailing line designed to follow directional regimes while filtering out minor noise.
The indicator has two core layers:
An NLMS adaptive filter , which learns a dynamic price estimate from prior bars.
An ATR volatility trail , which converts that learned estimate into a step-like directional trailing structure.
The goal is to produce a trend line that is more adaptive than a traditional moving average and more structured than a raw adaptive filter. The NLMS engine learns the underlying price path, while the ATR trail adds volatility-aware confirmation so trend shifts only occur when the adaptive estimate moves meaningfully.
Core idea
Most trend filters use fixed smoothing rules. An EMA, SMA, WMA, or HMA always applies the same mathematical weighting scheme regardless of whether the market is trending, ranging, expanding, or compressing.
NLMS is different. It continuously updates its internal weights based on prediction error.
This means the filter is not just averaging price. It is constantly asking:
How well did the previous weighting structure predict the current bar?
How large was the error?
How should the weights adjust to reduce future error?
The second layer then takes that adaptive estimate and applies an ATR-based trailing mechanism around it. This creates a volatility-adjusted trend trail that reacts to confirmed shifts while ignoring smaller movements that do not exceed the range structure.
What NLMS is
NLMS stands for Normalized Least Mean Squares . It is an adaptive filtering algorithm from digital signal processing. It is closely related to the original LMS algorithm developed by Bernard Widrow and Ted Hoff, which became one of the foundational online learning methods used in adaptive systems.
Adaptive filters have historically been used in:
Noise cancellation
Echo cancellation
Telecommunications
Radar and sonar processing
Signal prediction
Control systems
The basic purpose is to estimate or predict a signal while continuously adapting to changing conditions.
In trading terms, this indicator uses NLMS to build a learned estimate of price from prior bars.
How the NLMS filter works
The filter uses a set of historical inputs called taps .
If taps = 72, the model uses the previous 72 bars:
source
source
source
...
source
Each tap has a learned weight.
The prediction is calculated as:
prediction = w1 × source + w2 × source + ... + wM × source
The filter then compares the prediction to the actual current source:
error = source - prediction
That error drives the weight update.
If the prediction was poor, the weights adjust more.
If the prediction was accurate, the weights adjust less.
This creates an adaptive estimate that evolves with market behavior.
Why it is normalized
The normal LMS algorithm updates weights based on the raw input and prediction error. The issue is that if the input signal becomes large or volatile, updates can become unstable.
NLMS solves this by dividing the update by the input power:
power = sum(source ²)
The update becomes:
w = w + (μ / (ε + power)) × error × input
This normalization makes the learning process more stable across different volatility environments.
When the input power is high:
Updates are scaled down.
The filter avoids overreacting.
When the input power is low:
Updates are allowed to remain meaningful.
This is why NLMS is better suited to markets than a basic adaptive filter. Markets constantly shift between quiet and volatile regimes.
Weight initialization
The script initializes all weights equally:
weight = 1 / M
This means the filter starts with an SMA-like prior. Before learning begins, every historical bar contributes equally.
Over time, the filter adapts away from that equal-weight baseline and learns its own weighting structure.
Inputs that control the NLMS engine
Filter Taps (M)
Controls how many historical bars the model learns from.
Higher taps:
More memory
Smoother adaptive estimate
Slower response to regime change
Lower taps:
Less memory
Faster reaction
More noise sensitivity
Step Size (μ)
Controls the learning rate.
Lower μ:
Slower learning
Smoother output
More stable
Higher μ:
Faster learning
More responsive
Can become noisy if too aggressive
This is one of the most important settings. It controls how quickly the model changes its internal weights.
Regularization (ε)
Prevents instability when input power is very low.
It acts as a stabilizer in the denominator:
ε + power
Higher values make updates more conservative.
Lower values allow stronger adaptation but can become less stable in quiet conditions.
From adaptive filter to volatility trail
The raw NLMS output is not plotted directly as the main trend line. Instead, it is passed into a volatility trailing structure.
The script builds an ATR band around the NLMS estimate:
Upper band = NLMS output + ATR × factor
Lower band = NLMS output - ATR × factor
Then it creates a trailing value that only updates when the NLMS band structure forces it to move.
This creates a trail that behaves similarly to a volatility stop, but the center is not price or hl2. It is the learned NLMS estimate .
ATR volatility trail logic
The trail starts from the NLMS output, then carries forward its previous value:
nlmsAtr := previous nlmsAtr
Then:
If lower band rises above the trail, the trail moves up.
If upper band falls below the trail, the trail moves down.
This creates a directional trailing structure:
In bullish regimes, the trail ratchets upward.
In bearish regimes, the trail ratchets downward.
It filters out small movements because price must move enough relative to ATR and the adaptive estimate to change the trail direction.
Why combine NLMS with ATR
NLMS alone gives an adaptive estimate, but it can still wiggle as the model learns.
ATR alone gives volatility structure, but it is usually tied to raw price and fixed smoothing.
Combining them gives:
Adaptive intelligence from NLMS.
Volatility confirmation from ATR.
Cleaner trend state transitions.
Less dependence on fixed moving-average assumptions.
The NLMS model learns the underlying price behavior, while ATR decides whether movement is large enough to matter.
Trend direction
Trend flips are detected from the trail itself:
Bullish when nlmsAtr crosses above its previous value.
Bearish when nlmsAtr crosses below its previous value.
This means signals are generated when the volatility trail changes direction, not when price simply crosses the line.
That is important because:
The trail must structurally move.
The signal is tied to confirmed trail direction.
Noise around the line does not automatically create a flip.
Visual design
The indicator includes several visual layers.
Main trail line
The central plotted line is the NLMS ATR trail. It changes color based on the current trend state:
Green for bullish trail direction.
Red for bearish trail direction.
Gray before a trend state is established.
Gradient fill
The script fills the space between price and the trail:
If price is above the trail, bullish fill is shown.
If price is below the trail, bearish fill is shown.
The fill is stronger near the trail and fades toward price, making the trail feel like the active structural reference.
Trail glow
A soft glow is drawn around the trail using a small ATR offset:
glow = ATR(14) × 0.06
This highlights the trail visually without cluttering the chart.
Trend candles
Candles are colored by trend state:
Bullish trend = bullish candles.
Bearish trend = bearish candles.
This allows the script to function as a complete regime overlay.
How to interpret the indicator
Bullish state
A bullish state occurs when the NLMS volatility trail turns upward.
This suggests:
The adaptive filter is shifting higher.
The ATR trail has confirmed upward structure.
Trend pressure has turned bullish.
Bearish state
A bearish state occurs when the NLMS volatility trail turns downward.
This suggests:
The adaptive estimate is shifting lower.
The volatility trail has confirmed downside structure.
Trend pressure has turned bearish.
Price above the trail
Generally indicates bullish structure.
Price below the trail
Generally indicates bearish structure.
But the most important signal is the direction of the trail itself, not every price touch.
How to use it in practice
1) Trend following
Use the trail direction as the primary bias:
Favor longs when the trail is bullish.
Favor shorts when the trail is bearish.
2) Dynamic support/resistance
The trail can act like a dynamic structural level:
In uptrends, pullbacks toward the trail can act as support.
In downtrends, rallies toward the trail can act as resistance.
3) Trade management
The trail can be used as:
A trailing stop guide.
A regime invalidation level.
A trend continuation reference.
4) Regime filtering
Because the line adapts using NLMS and only flips when the volatility trail turns, it can be used to filter other entries:
Take only long setups during bullish trail regimes.
Take only short setups during bearish trail regimes.
Avoid countertrend trades when the trail is strongly directional.
Difference from normal Supertrend or ATR trails
A normal ATR trail is usually built directly from price or hl2.
This indicator is different because the trail is built around an adaptive learned estimate.
That means:
The centerline is not raw price.
It is not a fixed moving average.
It is a continuously learned NLMS estimate.
So the trail has a different character:
More adaptive than a standard moving average trail.
More stable than a raw price-based ATR stop.
More responsive to changing market structure than fixed filters.
Difference from the NLMS Adaptive Trend Filter
The NLMS Adaptive Trend Filter plots the learned estimate directly and reads trend from its slope.
NLMS Volatility Trail goes one step further:
It uses the learned estimate as the base.
Then wraps it with ATR structure.
Then turns that into a trailing regime line.
So this version is more structure-oriented and better suited for trailing trend behavior.
Parameter tuning
Taps
Use higher taps for smoother trend structure.
Use lower taps for faster adaptation.
Step Size
Use lower step size for stability.
Use higher step size for responsiveness.
Regularization
Use higher regularization when the filter feels unstable.
Use lower regularization when the filter is too sluggish.
ATR Period
Controls volatility estimate:
Shorter = more reactive trail.
Longer = smoother trail.
ATR Factor
Controls band width:
Higher factor = wider trail, fewer flips.
Lower factor = tighter trail, more flips.
Strengths
Combines adaptive filtering with volatility trailing logic.
Learns from market structure instead of using fixed weights.
Uses ATR to reduce noise and confirm meaningful movement.
Good for trend following and trailing stop frameworks.
Visually clean with gradient fill and candle coloring.
Limitations
Still reactive, not predictive.
Can lag during violent reversals.
High learning rates may create noise.
Low ATR factors may cause whipsaws.
Requires tuning for timeframe and asset volatility.
Summary
NLMS Volatility Trail combines an adaptive NLMS predictor with an ATR-based trailing structure. The NLMS layer continuously learns a dynamic estimate of price from historical bars, while the ATR trail converts that estimate into a cleaner directional regime line. This makes the indicator more adaptive than a traditional moving average and more structured than a raw adaptive filter. It is best used as a trend-following overlay, dynamic support/resistance guide, and volatility-aware trailing framework.
אינדיקטור
אינדיקטור
אינדיקטור
DAX Universe Relative Strength [JS]DAX Universe Relative Strength
This indicator compares the current stock with an equal-weighted German stock market benchmark consisting of DAX, MDAX, SDAX and TecDAX.
Instead of comparing a stock only with one single index, the script creates a broader DAX Universe benchmark by calculating the average performance of the four major German equity indices over a selected lookback period.
The goal is to identify whether a stock is showing relative strength or relative weakness versus the broader German stock universe.
How it works:
1. The script measures the performance of the current stock over the selected comparison period.
2. It measures the performance of DAX, MDAX, SDAX and TecDAX over the same period.
3. It calculates the equal-weighted average performance of these four indices.
4. It compares the stock’s performance with this benchmark.
5. The result is plotted as a relative strength line.
Interpretation:
- RS above 0:
The stock is outperforming the DAX Universe benchmark.
- RS below 0:
The stock is underperforming the DAX Universe benchmark.
- RS above its moving average:
Relative strength is improving.
- RS below its moving average:
Relative strength is weakening.
- Strong RS signal:
The stock is above the benchmark, above its RS moving average, and the RS moving average is rising.
This indicator is designed as a filter, not as a standalone buy or sell signal.
For pullback and swing trading, I use it to identify stocks that are stronger than the broader German market. A strong RS reading does not mean that a stock should be bought immediately. It only means that the stock deserves attention and may be worth adding to a watchlist.
A complete trade setup should also include:
- constructive trend structure
- price above important moving averages
- controlled pullback
- declining selling pressure
- clear pivot or trigger
- defined stop-loss
- attractive risk/reward ratio
The indicator includes:
- relative strength line
- moving average of the RS line
- zero line
- histogram
- background highlighting
- interpretation label
- alert conditions for RS changes
Suggested use cases:
- screening German stocks
- comparing DAX, MDAX, SDAX and TecDAX stocks
- identifying potential market leaders
- filtering pullback candidates
- avoiding stocks with persistent relative weakness
Important:
This script is for educational and analytical purposes only. It does not provide investment advice, buy signals or sell signals. Always combine relative strength analysis with your own chart analysis, risk management and trading plan. אינדיקטור
Market Conditions Panel PRO (Multi-Market)Market Conditions Panel PRO ist ein manuelles Multi-Market-Dashboard für TradingView. Der Indikator zeigt direkt im Chart die vorher definierte Markteinschätzung für verschiedene Futures- oder CFD-Märkte an.
Das Panel dient als visuelle Checkliste für die Marktstruktur und unterstützt einen strukturierten Tradingprozess über mehrere Zeitebenen.
Funktionen
Automatische Erkennung des aktuellen Charts über Symbol-Filter
Unterstützung mehrerer Märkte, z. B. MES, ES, NQ, FDAX, YM
Frei definierbarer Markt-Bias: Bullish, Bearish oder Neutral
Drei individuell einstellbare Zeitebenen, z. B. Daily, 4H und 1H
Manuelle Klassifizierung der Marktbedingungen:
Trendy Long
Trendy Short
Choppy Long
Choppy Short
Seitwärts
Farbige Darstellung für schnelle Orientierung
Pfeilsymbole zur visuellen Richtungsanzeige
Optionales Notizfeld für Setup-Kommentare, Bias-Fenster oder wichtige Marktinformationen
Flexible Panel-Positionierung im Chart
Zweck
Der Indikator berechnet keine automatischen Signale und generiert keine Kauf- oder Verkaufsempfehlungen. Er ist als manuelles Analyse- und Entscheidungsdashboard gedacht.
Er hilft dabei, den eigenen Tradingplan konsequent umzusetzen, indem Bias, Marktstruktur und Zeitebenen direkt im Chart sichtbar bleiben.
Typischer Einsatz
Der Indikator eignet sich besonders für Trader, die mit einem mehrstufigen Entscheidungsprozess arbeiten:
Markt-Bias bestimmen
Marktstruktur auf mehreren Zeitebenen prüfen
Nur Setups handeln, die zum Bias und zur Struktur passen
Notizen und Kontext direkt im Chart sichtbar halten
Dadurch wird der Tradingprozess klarer, disziplinierter und besser dokumentierbar.
Hinweis
Alle Zustände im Panel werden manuell eingestellt. Der Indikator ist kein automatisches Handelssystem, sondern ein visuelles Framework zur Unterstützung der eigenen Marktanalyse. אינדיקטור
אינדיקטור
Trading Checklist with Brand WatermarkTrading Checklist with Brand Watermark
A clean, fully customizable on-chart panel that combines a 7-row trading checklist with a branded watermark — built for traders and content creators who want to display trade conditions and personal branding directly on their TradingView charts.
Checklist Panel:
7 editable rows, each with a custom label and a ✅ / ❌ toggle
Optional header with a custom title and highlight color
Optional footer for social links, channel handles, or notes
Full control over colors, text size, alignment, and border styling
Adjustable row count (1–7 visible rows)
Brand Watermark:
Displays your name, brand, or handle anywhere on the chart
Independent position, text size, text color, and background color controls
Subtle by default — designed to stay visible without distracting from price action
Placement & Style:
Both panels support 9 chart positions (top / middle / bottom × left / center / right)
All inputs are grouped and hidden from the main display for a clean settings panel
Best for: Traders sharing chart screenshots or videos, educators building structured setups, and anyone who wants a branded, rule-based checklist visible at all times while trading. אינדיקטור
SMT - NDOG - NWOG - CBDR - FLOUT - Z DAYHere is a simple breakdown of how it works and how to use it:
1. Z-Day Profile (The "Coiled Spring")
What it is: A Z-Day is an ICT concept representing a day of extreme consolidation where the market essentially goes nowhere (zero net change). How the script tracks it: The script calculates the Average Daily Range (ADR) over the last 14 days. If a trading day finishes and its total range was less than 50% of the normal ADR, the script stamps a yellow "Z-DAY" label at the start of the next day. How to use it: When you see a Z-Day label, expect massive, violent expansion (trend days) to occur shortly after, as institutional energy has been tightly coiled.
2. SMT Divergence (Smart Money Tool)
What it is: SMT spots fake moves or underlying strength/weakness by comparing two assets that should move together (like NQ and ES). How the script tracks it: You enter a correlated ticker in the settings (e.g., CME_MINI:ES1!). The script pulls that asset's data in the background. It then tracks swing highs and lows on both charts simultaneously. How to use it: If your current chart makes a Lower Low (sweeping liquidity), but the hidden SMT chart makes a Higher Low, the script flags this as a Bullish SMT. It means the down-move on your chart is likely a fake stop-hunt, and price is preparing to reverse upward.
3. Price Action Gaps (NDOG & NWOG)
What it is: Voids in price caused by the market closing and reopening. These gaps act as algorithmic magnets. How the script tracks it:
NDOG (New Day Opening Gap): Tracks the gap between the 5:00 PM EST close and the 6:00 PM EST reopen.
NWOG (New Week Opening Gap): Tracks the gap between Friday's close and Sunday's reopen. How to use it: The script draws colored boxes over these gaps and extends them endlessly to the right. The box will only disappear once price completely overlaps and "fills" the gap, allowing you to use them as high-probability draw-on-liquidity targets.
4. Dealer Ranges & Projections (CBDR & Asian)
What it is: Institutions accumulate orders during specific quiet hours (Dealer Ranges), and then manipulate or expand price outward based on those ranges. How the script tracks it:
It boxes the absolute High and Low printed during the CBDR (Central Bank Dealers Range, 14:00-20:00 NY time).
It boxes the absolute High and Low printed during the Asian Range (20:00-00:00 NY time).
How to use it: The exact moment the Asian Range finishes at midnight, the script measures the height of the CBDR box. It then projects Fibonacci Standard Deviation lines (+1, +2, -1, -2) out into the future. You use these dashed lines as algorithmic take-profit targets for the new trading day.
It also calculates the Flout, which combines the CBDR and Asian ranges together, cuts them in half, and projects dotted lines for alternate target projections. אינדיקטור
Market Structure Mechanics - MSSThis script is an automated structural mapping tool designed to read price action through the strict lens of the ICT (Inner Circle Trader) algorithmic framework. It doesn't just mark every high and low; it intelligently categorizes how price interacts with structural levels to tell you whether the trend is continuing, reversing, or manipulating.
Here is a breakdown of how the script interprets market mechanics:
1. Trend Tracking & Pivot Identification
The script actively tracks the most recent swing high (sh) and swing low (sl) to determine the current trend (bullish or bearish). It uses a customizable pivot length (default 5 bars) to identify these structural turning points.
2. Break of Structure (BOS)
A BOS signals that the current trend is continuing.
If the trend is Bullish and a candle closes decisively above the active Swing High, the script draws a solid blue line and labels it BOS.
If the trend is Bearish and a candle closes decisively below the active Swing Low, it draws a solid red line labeled BOS.
3. Market Structure Shift (MSS) with Displacement
An MSS is a high-probability signal that the overall trend has reversed. However, the script is designed to filter out fake reversals by enforcing the Displacement Rule.
If the trend is Bullish, but price suddenly closes below the active Swing Low, the algorithm checks the recent down-move to see if a Bearish Fair Value Gap (FVG) was formed.
If an FVG is present, it means the move had massive institutional momentum (Displacement). It will draw a thick red line labeled MSS, and the trend will officially shift to bearish.
If it breaks the low but no FVG is found, the script flags it as a low-probability, invalid break (drawn as a dotted gray line).
4. Liquidity Sweeps (Stop Hunts)
This is where the script shines at reading manipulation.
If price pushes past a structural high or low to trigger retail stop losses, but the candle ultimately fails to close beyond the level (leaving a wick), the script immediately recognizes this as a stop hunt.
It will draw a dashed orange line and label it Sweep.
The script also features a built-in "Smart Label Merger", meaning if a level gets Swept and then Broken on the exact same candle, the labels will neatly combine (e.g., "Sweep, BOS") instead of creating a messy, overlapping clump of text on your chart. אינדיקטור
Liquidity PoolsThis script is an automated liquidity mapping tool based on ICT concepts. It actively hunts your chart for zones where retail stop losses and pending breakout orders are clustered.
Here is a breakdown of how the script functions and visualizes liquidity on your chart:
1. Automatic Pivot Detection (Old Highs & Old Lows)
The script continuously monitors price action to find major structural turning points (swing highs and swing lows).
When a confirmed swing high forms, it registers it as Buy-Side Liquidity (BSL) and draws a blue line projecting to the right. This marks a zone where retail traders have placed their buy-stop loss orders above the high.
When a confirmed swing low forms, it registers it as Sell-Side Liquidity (SSL) and draws a red line projecting to the right. This marks a zone where sell-stop loss orders are resting.
2. Equal Highs (EQH) and Equal Lows (EQL) Detection
In ICT methodology, the most powerful magnets for price are "Relative Equal Highs" or "Relative Equal Lows".
The script actively measures the distance between a newly formed pivot and an old active pivot.
If a new pivot forms within a few ticks of an old one (customizable in settings), the script recognizes it as highly engineered liquidity!
It automatically thickens the line, changes its color to bright orange, and updates the text label to EQH or EQL, signaling an extremely high-probability draw on liquidity.
3. Smart Text Labeling
To ensure you never have to guess what a line means, the script pins a text label (BSL, SSL, EQH, or EQL) directly at the starting point of every liquidity pool.
4. Sweep Detection & "Stop-Hunting" Tracking
Liquidity pools are only valid until they are traded through.
The script tracks every live tick. The exact moment price sweeps through a liquidity line, it stops extending the line.
It drops a small "X" right where the line was broken. This gives you a permanent historical footprint on your chart of exactly where and when "Smart Money" swept stops.
5. Memory Management
Because liquidity lines could theoretically build up infinitely and crash your chart, the script has built-in garbage collection. It only keeps track of the 15 most recent unswept pools (you can change this number in the settings) so your chart always stays clean and fast. אינדיקטור
Entropy Oscillator [JOAT]ENTROPY OSCILLATOR
A pane oscillator that measures the Shannon entropy of recent returns — the information-theoretic measure of how uncertain (chaotic) vs how predictable (directional) the recent distribution of price moves has been. Low entropy = the market is in a directional regime; high entropy = the market is chopping. Unlike volatility, entropy does not care about how big moves are — only how concentrated their distribution is. That distinction is what makes it one of the cleanest regime-classification tools in quantitative finance.
Shannon entropy, applied to markets
For a sequence of N recent log returns, the script:
Bins the returns into B equal-width bins across the empirical range.
Computes the probability of each bin (count / N).
Computes the Shannon entropy: H = −Σ p(i) · log(p(i)) over non-zero bins.
Normalises to by dividing by log(B) — the maximum possible entropy for B bins, which corresponds to a perfectly uniform distribution.
A perfectly uniform distribution (returns evenly spread across all bins → chaotic chop) produces normalised entropy of 1.0. A perfectly concentrated distribution (all returns in one bin → directional regime) produces entropy of 0. Real markets sit in between, and the script's job is to tell you where.
Two-threshold regime classification
Normalised entropy < low threshold (default 0.30) → DIRECTIONAL regime. The distribution of returns is concentrated; momentum tools work.
Normalised entropy > high threshold (default 0.70) → CHOP regime. The distribution is spread; reversion tools work.
Between the thresholds → MIXED regime. Neither side has the edge.
The thresholds are the spec-default institutional values; tighten or loosen for your instrument.
Slope-coloured entropy line
The smoothed entropy series is plotted in the pane with a slope-driven colour gradient — bull colour when entropy is falling toward directional, bear colour when entropy is rising toward chop. At a glance you can see which way the regime is moving even before it has crossed a threshold.
Visual system (pane + chart overlay)
In the pane:
Slope-coloured entropy line.
Threshold lines at low / 0.5 / high (toggleable).
Translucent fill zones for the low and high regions.
Pane background tint by current regime (toggleable).
On the chart (force_overlay):
Bar colouring — chart bars tinted by regime (cool when directional, hot when chop, neutral when mixed). Off by default.
Overlay background — subtle bgcolor projected onto the main chart marking the current regime. Off by default.
A locked Crimson Pulse palette (electric blue directional / lime-yellow chop / muted mauve mixed on a crimson-black ground) gives the pane a distinctive structural identity.
Regime Suggestion dashboard row
Like its sister script Hurst Regime Sentinel, Entropy Oscillator exposes a Suggested JOAT Indicator row that names the best companion script for the current regime. Defaults: AlphaTrend / Kalman Quantum Drift / Doppler Velocity Shift family for Directional regimes; Z-Score Reversion / Heisenberg Uncertainty Bands / Brownian Motion Residual / Renaissance Mean Reversion for Chop; Liquidity Magnet / Schrödinger Zone Probability / Fractal Dimension Index for Mixed. Every suggestion is user-configurable — you pick from the JOAT suite which tool the dashboard recommends per regime.
Dashboard
Monospaced table positionable to any of nine corners. Surfaces:
Current normalised entropy value.
Smoothed entropy and its slope direction.
Regime classification.
Bars in current regime.
Distance from entropy to nearest threshold.
Source series + window length + bin count in use.
Suggested JOAT Indicator (toggleable).
Alerts
Three alert conditions, each independently controllable:
Cross into Low Entropy (directional regime entry).
Cross into High Entropy (chop regime entry).
Any Regime Change (any classification flip).
How to read it
Two reads, in order of conviction:
Entry into Low Entropy — the directional commitment signal. The recent distribution of returns has narrowed; the market is in a momentum regime. Pair with a directional indicator (the dashboard's suggestion row tells you which).
Entry into High Entropy — the chop confirmation signal. Returns are widely distributed; momentum tools whipsaw, reversion tools work. Pair with a reversion indicator.
The "slope of entropy" itself is the leading read — when the line is falling toward the low threshold, a directional regime is forming; when it is rising toward the high threshold, chop is building. You do not need to wait for the threshold cross if you trust the slope gradient.
Suggested settings
Defaults (window 50 returns, 10 bins, EMA smoothing 3) are tuned for 15m–4H on liquid markets. The rule of thumb is window / bins ≥ 5 so each bin has enough samples to be statistically meaningful. For lower timeframes drop window to 30 and bins to 6. For HTF raise window to 100 and bins to 12.
Originality / what's reused
Shannon entropy is textbook 1948 information theory — public domain. The implementation here — the rolling N-return histogram pipeline with configurable bins, the log(B)-normalised entropy formula, the two-threshold regime classifier with mixed centre, the slope-coloured entropy line, the chart-overlay bar-colouring projection from the pane, and the user-configurable Suggested JOAT Indicator dashboard row — is JOAT-original. No third-party code reused.
Open source
Published open-source under the default Mozilla Public License 2.0. The histogram + entropy loop, the regime classifier, the slope-colour pipeline, and the dashboard are isolated modules. Forks welcome with credit.
Limitations
Shannon entropy describes the recent distribution of returns — it does not predict direction. A directional regime tells you momentum tools should work; it does not say which way. The histogram is sensitive to bin count and window length; the rule-of-thumb window / bins ≥ 5 is the default sanity check. EMA smoothing trades some lag for substantially reduced flicker; turn smoothing to 1 to see raw entropy.
—
-made with passion by jackofalltrades
אינדיקטור
SBP Structured Trend Indicator# SBP Structured Trend Indicator
## Overview
SBP Structured Trend Indicator is a trend-following decision support tool designed to evaluate market structure through multiple layers of confirmation instead of relying on a single technical indicator.
Rather than generating signals from one moving average crossover or momentum oscillator, the indicator evaluates the agreement between several independent market characteristics before identifying a potential trading opportunity. The objective is to reduce low-quality signals while remaining responsive to changing market conditions.
The indicator automatically adapts its internal parameters for Scalping, Intraday and Swing trading modes so that the same methodology can be applied across different trading styles.
---
## Methodology
The indicator combines several analytical engines, each measuring a different aspect of market behaviour.
### 1. Structured Trend Engine
The primary trend is determined from a smoothed directional filter that measures both trend direction and trend slope. This establishes the dominant market bias before any trading signals are evaluated.
---
### 2. Adaptive Trend Smoothing
An adaptive moving average is used to smooth price movement while reducing lag during directional trends. The slope of this adaptive average is used as an additional confirmation of market direction instead of relying solely on price crossing a moving average.
---
### 3. Trend Consensus Engine
A fast and slow exponential average are evaluated together to estimate trend agreement. Rather than treating a crossover as a signal by itself, the distance between the averages is used to estimate trend strength.
This helps distinguish established trends from weak directional movement.
---
### 4. Volatility Assessment
Current market volatility is compared with its recent average using the Average True Range (ATR).
This allows the indicator to distinguish between expanding and contracting market conditions so that stronger trends receive greater confidence than periods of low activity.
---
### 5. Momentum Evaluation
Momentum is measured using the rate of price change together with recent candle direction.
Momentum confirmation is evaluated alongside the prevailing trend rather than acting as an independent entry trigger.
---
### 6. Trend Confidence Score
A confidence score is calculated from several independent observations, including:
• Momentum strength
• Trend persistence
• Trend strength
• Relative trading volume
The resulting confidence score allows traders to select Aggressive, Balanced or Conservative filtering depending on their preferred trading style.
---
### 7. Position State Logic
The indicator tracks the current directional state to avoid repeatedly issuing identical signals during the same market move.
A new Buy signal is generated only after market conditions support a new bullish transition, while Sell signals follow the same principle for bearish conditions.
This design aims to reduce repetitive alerts during sustained trends.
---
## Trading Modes
### Scalping
Uses shorter internal lookback periods to respond more quickly to short-term price movement.
### Intraday
Balances responsiveness and stability for session-based trading.
### Swing
Uses longer adaptive calculations intended to identify broader market trends while filtering short-term fluctuations.
---
## Dashboard
The optional dashboard summarizes the current analytical state, including:
• Selected trading mode
• Current trend direction
• Market regime
• Trend confidence score
• Latest signal status
The dashboard is intended as a quick reference and should not replace chart analysis.
---
## Suggested Usage
The indicator is designed to be used alongside price action, support and resistance, market structure and prudent risk management.
It is not intended to predict future prices or guarantee profitable trades. Instead, it provides a structured framework for evaluating trend quality and identifying higher-confidence trading opportunities.
As with any analytical tool, users should evaluate signals within the broader market context and test the indicator on instruments and timeframes appropriate to their trading approach.
אינדיקטור
אינדיקטור
Sessions Liquidity (Silent)Sessions Liquidity (Silent)
A professional institutional liquidity framework designed to visualize trading sessions, session liquidity, previous-day levels, and higher-timeframe reference levels—all in one highly customizable indicator.
Sessions Liquidity (Silent) provides traders with a complete view of where liquidity forms throughout the trading day by automatically tracking session ranges, session highs and lows, previous-day liquidity, weekly and monthly reference levels, and important time-based market separators.
Instead of combining multiple session indicators, daily high/low tools, and HTF level indicators, this script integrates them into a single streamlined workflow optimized for discretionary and Smart Money trading.
What the indicator does
The script continuously monitors multiple trading sessions, builds their price ranges in real time, tracks the session highs and lows, and projects those liquidity levels forward until price interacts with them.
In addition, it automatically maintains Previous Day High/Low, Weekly Open, Previous Week High/Low, Monthly Open, and Previous Month High/Low, while providing manual time dividers and weekday markers to improve market structure analysis.
Main Features
Fully Customizable Trading Sessions
Track up to four independent trading sessions.
Default presets include:
New York
London
Tokyo
Sydney
Each session can be independently enabled, disabled, renamed, recolored, or assigned custom trading hours.
Live Session Range Boxes
The indicator builds each session's range in real time.
Features include:
Dynamic range boxes
Session labels
Adjustable transparency
Optional outlines
Custom colors
Multiple label sizes
Each session box automatically expands as price develops throughout the active session.
Session Liquidity (High & Low)
When a session closes, the script automatically creates liquidity lines at the completed session high and low.
Features include:
High lines
Low lines
Session-specific labels
Automatic line extension
Adjustable line style
Adjustable line width
Label offsets
Multiple sizing options
These levels remain active until liquidity has been taken or the configured trading-day cutoff is reached.
Smart Liquidity Mitigation
Liquidity lines are actively managed after creation.
Users can choose between:
Wick Touch mitigation
Close Through mitigation
When liquidity is taken, the script can either:
Automatically delete mitigated levels
Freeze the completed line for historical reference
This provides a cleaner chart while preserving important execution levels based on personal preference.
Trading Day Cutoff
Unmitigated liquidity levels can automatically stop extending after a user-defined trading-day cutoff.
This helps maintain chart clarity by preventing outdated liquidity levels from extending indefinitely.
Previous Day High / Previous Day Low
Automatically tracks the true chart candles that created:
Previous Day High (PDH)
Previous Day Low (PDL)
Features include:
Live updating current day's extremes
Historical PDH/PDL storage
Configurable number of previous days
Optional price display
Custom labels
Calendar-day or custom cutoff rollover modes
Unlike many indicators, the levels originate from the actual candle that created the high or low, providing a more accurate visual representation.
Weekly & Monthly Reference Levels
Automatically maintains higher-timeframe institutional levels including:
Weekly Open (WO)
Previous Week High (PWH)
Previous Week Low (PWL)
Monthly Open (MO)
Previous Month High (PMH)
Previous Month Low (PML)
Each level updates automatically as new weeks and months begin while preserving historical reference periods.
Historical Level Management
Historical daily, weekly, and monthly levels are automatically stored and managed.
Users can configure how many historical periods remain visible while older levels are automatically removed to reduce chart clutter.
Manual Time Dividers
Create custom vertical market dividers anywhere throughout the trading day.
Features include:
Up to four custom dividers
User-defined times
Custom labels
Custom colors
Adjustable styles
Adjustable widths
Ideal for marking:
Market Open
London Open
New York Open
Lunch
Session transitions
Custom execution windows
Weekday Labels
Optionally display weekday markers directly on the chart.
Each weekday can be enabled or disabled individually, making it easy to identify daily transitions during historical analysis and replay.
Flexible Timezone Support
The indicator supports:
Exchange timezone
Manual UTC offsets
allowing all sessions and time-based tools to align with your preferred trading schedule regardless of your broker or market.
Designed For
Sessions Liquidity (Silent) is built for traders who rely on:
Smart Money Concepts (SMC)
ICT methodologies
Liquidity-based execution
Session trading
Intraday market structure
Futures
Forex
Indices
Cryptocurrencies
Key Benefits
Consolidates session analysis into a single indicator
Tracks session highs and lows automatically
Maintains liquidity levels until mitigation
Displays Previous Day High and Low with historical tracking
Includes Weekly Open, Monthly Open, Previous Week High/Low, and Previous Month High/Low
Supports manual session dividers and weekday markers
Fully customizable colors, labels, line styles, transparency, and timezones
Reduces chart clutter while preserving institutional reference levels
Overall, this is best described as an institutional market timing and liquidity workspace. Rather than focusing solely on session boxes, it provides a comprehensive view of the key liquidity pools and higher-timeframe reference levels that many discretionary and Smart Money traders monitor throughout the trading day. אינדיקטור
