Time and Price by erdensedatTime & Price Institutional Toolkit
Overview
The Time & Price Institutional Toolkit is an advanced framework designed to bridge the concepts of time cycles and price action liquidity. By blending multi-timeframe structural analysis, mathematical models (Fibonacci, Gann, Quarterly), and fair value gaps (FVG), it provides a complete top-down perspective on institutional order flow.
The "Blue Skeleton" & Liquidity Sweeps
At the core of the script is the dynamic "Blue Skeleton" matrix. It draws the calculation period's highest, lowest, and equilibrium points.
Liquidity Sweep Filter: The skeleton essentially maps the "playing field" for the current session.
Time Element: As time passes the 0.5 (midpoint) of the skeleton box—often aligning with the overlap of the London and New York sessions—the indicator is highly sensitive to manipulation sweeps. If the price spikes out of the skeleton boundaries after this midpoint, it frequently marks a "Turtle Soup" manipulation reversal right before a heavy volume trend kicks in.
Key Features:
1. Time & Price Matrix (Skeleton Framework)
Dynamically maps premium/discount zones and equilibrium based on your chosen higher timeframe (e.g., Daily, Weekly).
Multiple mathematical schemas available: Mixed, Fibonacci, Quarterly, and Gann/Harmonic ratios.
Clearly plots Overbought/Oversold extremes.
2. Turtle Soup (TS) Entry Model
Identifies liquidity sweeps below previous period lows (Bullish Sweep) or above previous period highs (Bearish Sweep) that occur in the critical second half of the time window.
Visualized with custom dashed lines and circular markers indicating high-probability reversal zones.
3. Fair Value Gap (FVG) & Breaker Engine
Automatic detection of Fair Value Gaps and Breaker Blocks with overlapping gap filters.
Raid Displays: Shows when an FVG has been raided (swept and closed through), creating dynamic support/resistance lines marked with an 'x'.
Adjustable mitigation thresholds (Close, Wick, or Average).
4. Rejection Blocks
Highlights extreme wicks (where the wick is greater than 50% of the candle range) that signify rejection.
These act as institutional pivot points. Once mitigated, they visually transform into Mitigated Blocks (MB).
5. VWAP (Volume Weighted Average Price)
Built-in, optional VWAP line for intraday mean-reversion and dynamic trend confirmation (Disabled by default, can be toggled in settings).
6. Candle Structure & Reversal Formations
(Optional feature in settings) Highlights 2-bar immediate reversals, 3-bar standard reversals, and continuation structures specifically when they form inside the Premium/Discount extremes.
Alert System
The script includes a ready-to-use alert system focused on the highest probability setups:
Turtle Soup Buy: Triggers when a bullish liquidity sweep is detected, dropping below the HTF low and rejecting back inside during the optimal time window.
Turtle Soup Sell: Triggers when a bearish liquidity sweep is detected, pushing above the HTF high and rejecting.
Note: To set these up, create an alert on PulseWire, select this indicator, and choose "Any alert() function call".
How to Use:
Let the skeleton form during the early parts of the session (Asia/London).
Wait for the time to cross the 0.5 midline of the box.
Look for the price to sweep the outer boundaries of the skeleton (Turtle Soup trigger).
Enter on the rejection, targeting the 0 (Balance) line or the opposing Premium/Discount extreme, using FVGs and VWAP as dynamic targets. Indicator
Shark Hunt | AnonycryptousShark Hunt | Anonycryptous
Description & user manual
(Some chart snapshots below)
Why makes this indicator different?
Most liquidity indicators show you levels. They draw a box where a swing high or low formed and wait for price to return. They do not tell you whether the return matters. They do not filter what is noise from what is a genuine institutional event. They do not confirm whether the move that touched the level was a stop hunt or just a graze. They show you where. Not what.
Shark Hunt works differently.
It does not just detect liquidity zones. It hunts what happens at them — mechanically, bar by bar, through a multi-layer confirmation engine that evaluates wick penetration, volume, rejection strength, and optional pattern confluence before a signal fires. Every condition has a purpose. Every filter reflects something that institutional order flow actually leaves behind.
Most traders can look at a chart in hindsight and spot a liquidity sweep. They see the wick, they see the reversal, they understand what happened. The challenge is identifying it as it forms, before the move is over. That is what Shark Hunt is built to do.
And then there is the Failure Entry engine.
Not every meaningful institutional move starts at a marked zone. Sometimes price sweeps a structural pivot mid-chart — no zone, no prior markup — and reverses sharply. These are swing failure patterns: a wick through a recent high or low, a close back inside, and the market moving the other way. Shark Hunt includes a complete standalone engine for detecting and trading these setups, with its own signal system, trade block, and performance tracking. It is an indicator within an indicator. When you enable it, the entire color scheme shifts to make the mode change unmistakable.
Most indicators are built for one idea. Shark Hunt is built for two ways of reading the same market — and it tells you clearly which mode you are in.
Important notice
Shark Hunt generates trading signals based on pattern detection and volume analysis.
These signals are not financial advice.
They do not predict the future.
They do not guarantee profitability.
All trading decisions are made entirely by the user.
Always manage your own risk. Always apply your own judgment.
1. Overview
Shark Hunt is a liquidity zone detection and sweep confirmation indicator built around the behavior of institutional participants — how they build positions, how they run stops, and how that activity shows up on a chart.
What it includes:
- Impulse-scored liquidity zone detection at swing highs and lows
- Three-tier zone significance: scalp, intermediate, and major
- Multi-layer sweep confirmation: wick penetration, volume, rejection, and pattern gates
- Zone flip logic: broken support becomes resistance and vice versa
- Zone hold statistics with percentage display and liquidity value per zone
- Five price pattern detections: imbalances, absorption bars, price failures, level break retests, and wick traps
- Trade block visualization with configurable RR ratio, SL mode, and width
- Failure Entry engine: standalone SFP signal system with independent settings and trade blocks
- Sweep and failure mode color switching: fluor green/red for zone mode, fluor cyan/red for failure mode
- Neon glow rendering for both candles and zones: independently configurable
- Live dashboard showing active mode, zones, trade statistics, and PnL in R
- Alerts for zone sweep longs, zone sweep shorts, failure longs, and failure shorts
2. How zones are built
Shark Hunt detects liquidity pools at confirmed swing highs and lows using a pivot-based engine. Every zone is scored at the moment of formation using a composite impulse quality score — a weighted combination of body strength, volume relative to average, and bar range relative to ATR. Higher scores mean the move away from the zone was more decisive. When two zones form too close together, the weaker one is removed. Only the more significant level survives.
Zone significance is configurable in three modes:
-Scalp
Short pivot lookback. More zones formed, closer to current price. Suited for fast timeframes and intraday scalp setups.
-Intermediate
Balanced detection. A practical default across most instruments and timeframes.
-Major
Extended pivot lookback. Only the most significant structural levels qualify. Fewer zones, higher conviction per zone.
Each zone extends to the right in real time. A stats label shows the percentage of touches where price held without sweeping — the hold rate — and the estimated liquidity value at the formation bar, calculated as volume multiplied by price. These two numbers tell you how historically respected a zone is and how much institutional interest was present when it formed.
When price closes decisively through a zone, the zone flip logic converts it to the opposite side. A broken demand zone becomes supply. A broken supply zone becomes demand. This mirrors how smart money re-uses levels.
3. Sweep confirmation
A sweep fires only when all enabled conditions are satisfied on the same bar at close.
Wick penetration
The wick must break through the zone boundary by at least a configurable percentage of price. This filters grazes from genuine stop hunts. At 0.05%, small but intentional penetrations qualify. At 0.2% and above, only decisive spikes are counted.
Volume confirmation
The sweep bar must have volume at or above a configurable multiple of the rolling average. Institutional sweeps require size to move price and collect stops. A sweep on below-average volume is usually noise. This filter is toggleable.
Wick rejection
The wick that swept the zone must represent a minimum percentage of the bar's total range. A high rejection percentage means the bar closed far from its sweep extreme — price was pushed back hard. A low percentage means price drifted through and kept going. This filter is toggleable.
Pattern confirmation gates
Three optional gates can be added on top of the base sweep conditions:
- Require Price Failure (SFP): the sweep bar must also close back inside a recent pivot. Stop hunt confirmed by structure.
- Require Wick Trap: the sweeping wick must be at least twice the body size and larger than half an ATR. Pin-bar quality required.
- Require Absorption Bar: the sweep bar must fully engulf the previous candle. One-sided institutional commitment on the sweep itself.
Each gate is independent. Any combination can be active simultaneously. When all three are off, the base filters apply. When one or more are on, they stack as AND conditions — all must pass.
A cooldown setting prevents duplicate signals on the same level by requiring a minimum number of bars between confirmed sweeps.
When a sweep confirms, the zone is marked as swept and fades. A trade block is drawn showing the SL zone and TP zone based on the configured stop loss mode and RR ratio.
4. Price patterns
Five independent price pattern detections run continuously alongside the zone engine. Each can be toggled on or off.
-Price imbalances
Three-candle gaps where price moved too fast for two-sided trading. The gap between the first and third candle is visible as a small filled box. These areas act as magnets — price tends to return. A bull imbalance forms when a bullish candle leaves a gap above. A bear imbalance forms the same way in the opposite direction.
-Absorption bars
A candle that fully engulfs the previous candle in body. The current bar opened inside the prior bar's body and closed beyond it on the opposite side. This shows one side overpowering the other in a single bar — a sign of directional commitment. Marked with a small dot above or below the bar.
-Price failures
A bar that breaks a recent swing pivot with its wick but closes back inside. The market attempted a breakout, ran the stops beyond the pivot, then reversed. This is the mechanical signature of an institutional stop hunt at a structural level. Marked with a clean "F" label in bull or bear color.
-Level break and retest
When price closes through a recent pivot level and then returns to test it from the other side, a retest marker fires. Broken resistance retested as support, and vice versa. The cross marker appears at the retest bar.
-Wick traps
Candles with a wick at least twice the body size and larger than half an ATR. These mark areas of strong rejection. When a wick trap appears at or near a zone, it adds weight to the setup. Marked with a directional arrow.
5. Trade block
When a zone sweep confirms, a trade block is drawn from the signal bar forward. It shows the SL zone in red and the TP zone above or below entry.
Two stop loss modes are available:
-Zone mode
The stop is placed at the zone boundary plus a configurable ATR buffer. Consistent across setups — the SL is anchored to the structural level that defined the zone.
-Wick mode
The stop is placed at the deepest point of the sweep wick plus a configurable ATR buffer. Tighter, and closer to the actual sweep extreme. Can vary significantly bar to bar depending on wick size.
The RR ratio scales the TP distance as a multiple of the SL distance. At 1.0, TP equals SL distance — a 1:1 setup. At 2.0, TP is twice the SL distance. The trade block width in bars is configurable.
The backtest engine runs alongside the live chart. Every confirmed signal is tracked. When TP or SL is reached, the result is recorded as positive or negative R and accumulated in the dashboard.
6. Dashboard
The dashboard is displayed in a configurable position at tiny, small, or normal size.
It shows:
- Active mode: Sweep — on or off. Failure — on or off. Immediately visible at a glance.
- Depth: the current zone significance setting.
- Bull liquidity: number of active bull zones, with fresh zone count.
- Bear liquidity: same for bear zones.
- ATR: current ATR value for the active calculation period.
- Trades, longs, shorts, wins, losses, win rate: cumulative signal statistics.
- Total PnL in R: cumulative result across all signals.
- Expected value in R: average result per trade.
Mode colors are active throughout. In zone sweep mode, bull elements appear in fluor green. In failure entry mode, everything bull switches to fluor cyan. Bear elements remain in fluor red in both modes. The mode switch is visible across every element on the chart — zones, candles, markers, trade blocks, and the dashboard simultaneously.
7. Neon glow
Two independent glow systems are available under the Visuals section.
Neon glow candles
Three stacked plotcandle layers render the candles in fluor color with a soft outer glow. Body transparency and wick and border transparency are separately adjustable — softer body, harder wicks gives the most readable result. Two glow layers control the diffuse outer glow and the inner primary glow independently.
For best results: open chart settings, go to the Style tab, and set the default candle body, border, and wick to fully transparent. This removes the standard PulseWire candle rendering and lets only the glow candles show.
Neon glow zones
Four stacked box layers per zone produce a layered neon glow from the zone boundary outward. A single Zone Glow Strength slider controls all layers simultaneously — lower values produce a more intense neon effect, higher values produce a softer ambient glow.
Both systems work in both modes. When failure entry mode is active, the glow shifts to fluor cyan for all bull elements.
8. ⚡ The Failure Entry engine — the Bonus 🦈
Zone sweeps are the core of Shark Hunt. But not every institutional move starts at a marked level.
Sometimes price sweeps a structural pivot that has no zone drawn on it — a recent swing high or low that formed mid-session, between established zones. The move is decisive: a wick beyond the pivot, a close back inside, and price accelerating in the opposite direction. These are swing failure patterns. They are one of the cleanest institutional signatures available — a stop hunt at a structural level, confirmed by the bar's own price action.
The Failure Entry engine is a fully independent system inside Shark Hunt, built specifically to detect and trade these setups.
When Failure Entry mode is enabled, the zone sweep signal system is suspended. Zones remain on the chart as structural context — they often align with logical TP levels for failure trades. But entries come only from the failure engine.
The failure engine uses its own pivot lookback, separate from the zone detection engine. A dedicated wick size filter measured in ATR is the primary quality gate — it controls how large the failure wick must be relative to current volatility. Small values allow minor structural failures. Larger values require significant spike reversals. This is the primary lever for tightening or loosening signal quality.
A separate wick rejection percentage filter ensures the sweep bar closed convincingly away from its extreme. Volume confirmation with its own multiplier can be applied independently. A cooldown prevents duplicate signals on the same pivot.
The failure engine has its own trade block: fluor cyan for TP, fluor red for SL. The SL can be placed at the wick tip or at the pivot level itself, each with its own ATR buffer. The RR ratio and block width are independently configurable.
Performance is tracked separately. The failure PnL, win rate, and expected value accumulate in their own records and are reflected in the total dashboard figures. Every failure trade contributes to the overall session result.
Enabling failure entry mode changes the entire visual environment. All bull elements — zones, candles, markers, trade blocks — switch from fluor green to fluor cyan. The mode status rows in the dashboard confirm what is active at a glance. Switching modes is one toggle. The chart responds immediately across every element.
The failure engine is not a replacement for the zone sweep system. It is a complementary tool for catching institutional moves that do not begin at a pre-mapped level. Used in combination with the zone context still visible on the chart, it gives Shark Hunt coverage of both types of setup — the anticipated sweep at a known level, and the opportunistic reversal at an unmarked pivot.
9. Settings reference
9.1 Zone detection
- Pivot lookback: bars each side to confirm a swing high or low
- Zone significance: scalp, intermediate, or major
- Max active zones per side: upper limit on tracked zones
- Zone ATR width: zone height as a multiple of ATR
- Min zone separation (ATR): minimum distance between zones of the same type
- Show fresh zones only: hide swept zones or keep them faded
- Enable zone flip: convert broken zones to the opposite side
9.2 Sweep confirmation
- Min wick penetration (%): minimum wick break through zone boundary
- Volume confirmation: toggle volume filter on or off
- Min volume multiple: minimum sweep bar volume relative to average
- Volume average period: rolling volume baseline length
- Wick rejection filter: toggle wick size filter on or off
- Min wick rejection (%): minimum wick as percentage of bar range
- Cooldown bars between sweeps: minimum gap between signals
- Require price failure (SFP): optional pattern gate
- Require wick trap: optional pattern gate
- Require absorption bar: optional pattern gate
9.3 Price patterns
- Show price imbalances
- Show absorption bars
- Show price failures
- Show level breaks and retests
- Show wick traps
9.4 Trade block
- Show trade block on sweep
- RR ratio
- SL mode: zone or wick
- SL buffer (ATR)
- Trade block width (bars)
9.5 Visuals
- Bull and bear liquidity zone transparency
- Show zone stats label
- Show % hold
- Show liquidity value
- Zone label size
- Min % hold to show zone
- Enable neon glow candles
- Body transparency (soft)
- Wick and border transparency (hard)
- Primary glow strength
- Secondary glow strength (diffuse)
- Enable neon glow zones
- Zone glow strength
9.6 Failure entry
- Enable failure entry mode
- Pivot lookback
- Min failure wick (ATR)
- Min wick rejection (%)
- Volume confirmation
- Min volume multiple
- Cooldown bars between failures
- SL mode: wick or pivot
- SL buffer (ATR)
- RR ratio
- Trade block width (bars)
- Show trade block on failure
9.7 Dashboard
- Show dashboard
- Position: top left, top right, bottom left, bottom right
- Size: tiny, small, normal
10. How to use
10.1 Initial setup
1. Set zone significance to match your timeframe. Major works well on 3m and 15m as a starting point.
2. Enable the filters you want active. Volume confirmation and wick rejection are on by default — these are the minimum recommended filters.
3. Set your RR ratio. The default of 1.0 is conservative. Adjust based on your own risk management rules.
4. Decide whether to use zone mode or failure entry mode. Both can be tested and compared using the dashboard statistics.
5. If you want neon glow rendering, set default chart candles to transparent first, then enable the glow toggles.
10.2 Reading the chart
Zones in fluor green are bull liquidity pools — unfilled stop clusters below recent swing lows. Zones in fluor red are bear liquidity pools above swing highs. The opacity and label show how historically respected each zone is.
When price approaches a zone, watch the sweep confirmation criteria. A qualifying bar at close triggers the signal and draws the trade block.
"F" labels mark price failure patterns. When an F appears near a zone boundary, it strengthens the setup. A price failure at a liquidity zone is the clearest confluence available in Shark Hunt — a structural stop hunt confirmed by both the zone engine and the failure pattern simultaneously.
Imbalance boxes, absorption dots, retest crosses, and wick trap arrows all provide additional context. None of them are trade signals by themselves. They are confluence indicators — the more of them align with a zone sweep, the higher the contextual quality of the setup.
10.3 Illustrative bull scenario
Educational example only. Not a trading recommendation.
A swing low forms with strong impulse score. A bull liquidity zone is drawn below it, showing 100% hold and a high liquidity value. Several bars later, price dips into the zone with a sharp wick on elevated volume. The wick is larger than the body, covering more than 25% of the bar range. The bar closes above the zone boundary. A fluor green triangle fires below the bar. The trade block appears showing the TP zone above and the SL zone below. An "F" label also appears on the same bar — the zone sweep and the price failure both confirmed simultaneously.
10.4 Illustrative bear scenario
Educational example only. Not a trading recommendation.
Price rallies into a bear liquidity zone marked from a prior swing high. The approach candle is an absorption bar — a dot appears above it. On the next bar, a sharp spike above the zone on high volume forms a wick that covers more than 25% of the bar range, closing back below the zone top. The sweep confirms. A fluor red triangle fires above the bar. The trade block drops from entry to the TP target below. A wick trap arrow also marks the same bar — strong institutional rejection at a known supply level.
10.5 Using failure entry mode
Enable failure entry mode when you want to trade swing failure patterns without requiring a pre-mapped zone.
The zone boundaries remain on the chart. Use them as context. A failure trade that targets a nearby bull or bear zone as its TP has structural justification for the exit level.
The min failure wick (ATR) setting is the primary quality control. Start at 0.4. If you see too many minor failures firing, raise it. If the engine is missing moves you can see visually, lower it.
The dashboard will show failure-specific statistics. Compare the failure win rate and expected value to the zone sweep statistics. Over time, this data tells you which setup type performs better on your instrument and timeframe.
10.6 Timeframe guide
- 1m–2m: scalp depth, loose filters, high zone count, failure mode useful
- 3m–5m: recommended default settings, both engines perform well
- 15m: major depth, tighter wick penetration, fewer but higher quality setups
- 30m and above: increase pivot lookback for both zone and failure engines
11. Tip
The zone hold percentage is information. A zone with 0% hold has been swept every time price visited it. That is a weak zone — it may not hold the next time either. A zone at 95% hold has defended itself repeatedly. That is a level with a track record.
Volume confirmation is your noise filter. On most instruments, genuine institutional sweeps show up on volume. A sweep on below-average volume is usually a retail move or a thin-market spike. Keep volume confirmation on unless your instrument has unreliable volume data.
The pattern confirmation gates stack. Requiring price failure, wick trap, and absorption simultaneously will produce very few signals — but the ones that fire will have three independent confirmations in addition to the base sweep conditions. Use the gates selectively based on how many signals your timeframe normally generates.
Zone glow and candle glow are independent. You can use zone glow without candle glow, or both together. The neon rendering is a visual choice — it does not affect signal logic.
Failure mode changes everything visually. When you enable it, the entire chart shifts to fluor cyan for bull elements. This is intentional — it makes the mode switch obvious. There is no ambiguity about which engine is active.
The dashboard expected value is the most useful long-term metric. A positive expected value means the average signal generates profit over time. A negative value means the current settings lose on average even if the win rate looks reasonable. Track it across sessions to validate your configuration.
Chart snapshots:
12. Disclaimer
This indicator is provided for educational and informational purposes only. Nothing in this document constitutes financial advice or any form of recommendation. Trading financial instruments involves substantial risk of loss. Past performance is not indicative of future results. You may lose all of your invested capital.
Anonycryptous accepts no responsibility or liability for any losses incurred as a result of using this indicator.
Indicator
Institutional Value Relocation VerdictSummary in one paragraph
Value Relocation Verdict ARD is an acceptance versus rejection classifier for liquid instruments on intraday to daily timeframes. It helps you act only when multiple conditions align after price pushes beyond a boundary. It is original because it treats every break as a probe and scores whether value is relocating using a break anchored VWAP relocation metric fused with time outside, extension, outside volume share, pullback quality, and failure velocity back into value. Add it to a clean chart, read the compact decision table, and use the visuals or alerts. Shapes can move while the bar is open and settle on close. For conservative alerts select on bar close.
Scope and intent
• Markets. Major FX pairs, index futures, large cap equities, liquid crypto
• Timeframes. One minute to daily
• Default demo used in the publication. NQ1! on 15 minute
• Purpose. Prevent trading raw breakouts and raw fades before the market proves acceptance or rejection
• Limits. This is an indicator. It does not place orders and does not simulate fills
Originality and usefulness
This is not a mashup of common indicators. It is a state machine that measures what happens after a boundary is breached.
• Unique concept or fusion. Breaks are treated as probes and classified by value relocation using break anchored VWAP plus behavioral metrics outside the boundary
• What failure mode it addresses. False starts in chop, one bar breakouts that reverse, and fades taken too early when value is actually relocating
• Testability. The table shows the live decision, the two competing scores, and the driver metrics so users can verify why a suggestion appears
• Portable yardstick. All distances are normalized in ATR units so thresholds travel better across symbols
• Protected scripts. Public open source, implementation visible
Method overview in plain language
Base measures
• Range basis. True Range smoothed with ATR over ATR length
• Value basis. Session anchored VWAP defines a value center, with a configurable VWAP band as the value zone
Components
• Boundary selection. Choose prior day high and low, opening range, prior week high and low, VWAP band edges, or custom levels
• Probe state. A probe begins when price crosses a boundary. The boundary is frozen for the probe so time outside and velocity are measured consistently
• Acceptance score. A 0 to 100 score built from closes outside, max extension beyond the boundary, outside volume ratio, break anchored VWAP relocation, defense touches, expansion context, and a pullback penalty
• Rejection score. Evaluated only when price re enters the boundary. It fuses sweep size, snapback depth, fail velocity, speed of re entry, RVOL, compression context, and a value zone re entry bonus
• Context regime. A light regime classifier uses session VWAP slope and a higher timeframe EMA slope to bias acceptance slightly in trend direction and boost rejection slightly in ranges
• Session windows optional. Session follows the exchange time of the chart. Verify when changing symbol or venue
Fusion rule
• Two separate scores are maintained during a probe: Acceptance score and Rejection risk
• During the probe, the table shows a Lean decision based on the score spread: Acceptance score minus Rejection risk
• Thresholds for ACC and REJ are explicit in Inputs and the drivers are visible in the table
Signal rule
• ACC Up appears when a probe above the boundary reaches acceptance score threshold for the configured confirm bars, closes remain outside the buffer, and chase distance is not excessive
• ACC Down is symmetric for probes below the boundary
• REJ Up appears when price re enters the boundary after probing above and rejection score meets its threshold
• REJ Down is symmetric for probes below the boundary
• WAIT shows when no probe is active or when neither side has a clear edge
What you will see on the chart
• Active boundary line. Thick line at the frozen probe boundary
• Value zone. Optional VWAP band fill and optional VWAP lines for context
• Probe band. Optional thin band around the boundary equal to the outside buffer
• Break VWAP. Optional line during the probe that shows break anchored VWAP
• Markers. ACC and REJ markers on the bar where the model resolves
• Optional plan overlay. Entry, stop, and target lines for the last resolved signal, informational only
• Compact table. A decision dashboard with Lean, State, Regime, ACC score, REJ risk, and the drivers
Table fields and quick reading guide
• Decision. Lean ACC, Lean REJ, or Wait
• State. Idle, Probe Above, Probe Below, Waiting Levels, or Out of Session
• Regime. Trend Up, Trend Down, or Range
• ACC Score. 0 to 100 plus a bar gauge
• REJ Risk. 0 to 100 plus a bar gauge
• Boundary. Frozen boundary price during the probe
• Value VWAP. Session anchored VWAP price
• Outside. Closes outside count versus Accept min closes outside
• Delta. ACC Score minus REJ Risk, used to express separation
• Drivers shown by preset. Extension ATR, Reloc ATR, Out Vol, Pull ATR, RVOL, Fail Vel, Sweep ATR, Snap ATR, Expansion, Compression
Reading tip. When Session is ON and Delta shows clear separation, outcomes tend to be easier to manage than when both scores are similar.
Inputs with guidance
Setup
• Theme. Dark or Light. Matches chart background for readability
• Preset. Minimal, Standard, Pro. Minimal is the clean chart default
• Session and Require session. Typical use is ON for index futures and intraday equity sessions
• Cooldown bars. Typical range 0 to 15. Higher reduces clustered probes
• Max probe bars. Typical range 20 to 120. Lower avoids stale probes
• Decision delta. Typical range 10 to 25. Higher demands more separation before leaning
Levels
• Mode. Prev Day HL, Opening Range, Prev Week HL, VWAP Band, Custom
• Opening range minutes. Typical 15 to 60 on intraday charts
• Break trigger. Close is more conservative. Wick is earlier but noisier
• VWAP band width ATR. Typical 0.5 to 1.5
• Custom upper and Custom lower. Only active in Custom mode. Both must be greater than 0 and upper must be greater than lower
Scoring
• Outside buffer ATR. Typical 0.05 to 0.30. Higher requires stronger closes outside
• Accept min closes outside. Typical 3 to 10. Higher confirms slower relocations
• Accept min extension ATR. Typical 0.6 to 1.8. Higher demands stronger expansion
• Accept min outside volume ratio. Typical 0.45 to 0.80. Higher demands conviction
• Accept min relocation ATR. Typical 0.10 to 0.50. Higher demands value shift beyond the boundary
• Accept max pullback ATR. Typical 0.30 to 1.00. Lower penalizes weak holding
• Accept confirm bars. Typical 1 to 3. Higher reduces one bar acceptance
• Accept score threshold. Typical 60 to 85
• Accept max chase distance ATR. Typical 0.8 to 2.0. Lower avoids late entries
• Defense touches needed and defense touch distance ATR. Use 0 to disable. Typical 1 to 2 touches, 0.15 to 0.35 distance
Rejection scoring
• Reject max closes outside before re entry. Typical 2 to 6. Lower demands fast failure
• Reject min fail velocity. Typical 0.3 to 1.0. Higher demands sharper failure
• RVOL length and reject min RVOL. Typical 20 and 1.1 to 1.8
• Reject min sweep ATR and reject min snapback ATR. Typical sweep 0.25 to 0.80, snap 0.10 to 0.50
• Reject score threshold. Typical 60 to 85
Context
• Context timeframe. Typical 15, 30, or 60 minutes for intraday
• Context EMA length. Typical 34 to 100
• VWAP slope bars and trend slope threshold. Typical 4 to 12 bars, threshold 0.05 to 0.15
• Bias scores by regime. ON by default. Turn OFF if you want pure probe math only
UI
• Show signals, probe band, value fill, value lines, signal labels
• Table position and table size
Clean default. Minimal preset with value fill ON, value lines OFF, and labels OFF
Usage recipes
Intraday trend focus
• Preset Standard
• Context timeframe 30
• Bias scores by regime ON
• Accept score threshold 75
• Reject score threshold 80
• Break trigger Close
• Decision delta 20
Intraday mean reversion focus
• Preset Standard
• Mode Prev Day HL or Opening Range
• Bias scores by regime ON
• Reject max closes outside 3
• Reject min sweep 0.35 and snapback 0.20
• Reject score threshold 70
• Decision delta 15
Swing continuation
• Timeframe 60 minutes to 4 hours
• Context timeframe 1 day
• Increase Accept min closes outside and Accept confirm bars
• Increase Max probe bars
• Use Close trigger
• Raise Decision delta
Realism and responsible publication
• No performance claims. Past results never guarantee future outcomes
• No certainty about the future
• Intrabar motion reminder. Shapes can move while a bar forms and settle on close
• Standard candles are recommended. Non standard chart types change OHLC and can alter the meaning of sweeps and snapbacks
Honest limitations and failure modes
• Economic releases and thin liquidity can invalidate sweep and relocation behavior
• Gap heavy symbols can distort intrabar probe stats on small timeframes
• Very quiet regimes reduce score separation. Consider longer windows or higher thresholds
• Session windows use the exchange time of the chart
• Custom mode requires valid upper and lower values or the script will wait
Open source reuse and credits
• None
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs. Indicator
Options levelsOverview
Options Levels 🎯 plots 13 key institutional and options-based levels directly on your chart — including Call Wall, Put Wall, Gamma Flip, Whales Pivot, five Whale levels, and Sigma deviation bands (σ¹ / σ²).
It’s designed for both intraday and swing traders, offering a clean visual structure with elegant emoji labels, flexible visibility controls, and precise right-edge extensions for each line.
✨ Key Features
Single structured input with 13 ordered levels:
CallWall, PutWall, GammaFlip, Whales Pivot, Whale1..Whale5, Upperσ1, Upperσ2, Lowerσ1, Lowerσ2
Expressive emoji labels (🟢, 🔴, ⚖️, 🌑, 🐋, σ¹/σ²) optimized for dark themes.
Right-edge alignment: each line extends exactly to its label — no infinite lines.
Group visibility toggles:
• Critical Levels → Call Wall, Put Wall, Gamma Flip, Whales Pivot
• Whale Levels → Whale 1–5
• Sigma Bands → Upper/Lower σ¹ and σ²
Dynamic line-length multipliers that emphasize key levels.
Built-in alert conditions:
• Price crossing above the Call Wall
• Price crossing below the Put Wall
⚙️ Inputs & Settings
📋 Level List (string) : comma-separated list of 13 numeric values.
Example:
🎨 Appearance
• Base line length (bars)
• Label visibility toggle
• Line thickness
• Extend line and label to the right
• Distance (bars) between last candle and label
👁️ Visibility Controls
• Toggle Critical, Whale, or Sigma levels independently
🚀 How to Use
Paste your list of 13 ordered levels into the input field.
Adjust base length and thickness according to your timeframe.
Enable “Extend to the right” to position labels neatly beyond the last candle.
Use visibility toggles to focus on specific level groups (e.g., hide Whale Levels for short-term setups).
Optionally enable alerts to track price breakouts above/below Call and Put Walls.
The plotted levels are derived from aggregated options flow data, institutional positioning, and volatility-based deviations (σ). They serve as reference zones rather than predictive signals, helping visualize where liquidity and dealer hedging pressure may cluster.
📖 Level Definitions
Call Wall 🟢 — The strike with the highest call open interest; potential resistance area.
Put Wall 🔴 — The strike with the highest put open interest; potential support area.
Gamma Flip ⚖️ — Level where total gamma exposure changes sign; may reflect a shift in dealer hedging behavior.
Whales Pivot 🌑 — Represents the average institutional positioning from the previous trading day, reflecting where large option flows were most concentrated.
Whale Levels 🐋 — High-premium or large-volume strikes typically linked to institutional activity.
Upper σ¹ / σ² 📈 — One and two standard deviations above spot; potential overextension zones.
Lower σ¹ / σ² 📉 — One and two standard deviations below spot; potential mean-reversion zones.
Levels are manually input by the user. This script is a visual reference, not a predictive model.
⚠️ Notes
Levels are user-provided (not calculated by this script).
The indicator does not issue buy/sell signals or provide performance guarantees.
Designed purely as a visual aid for contextual market reference.
Optimized with barstate.islast for performance (draws only at the latest bar).
Disclaimer:
This indicator is for educational and visual purposes only. It does not generate buy/sell signals or guarantee future results. User-provided levels are meant for contextual reference only.
Developed for traders who rely on market structure and options flow context. Feedback and suggestions are welcome.
Indicator
Institutional Levels (CNN) - [PhenLabs]📊Institutional Levels (Convolutional Neural Network-inspired)
Version : PineScript™v6
📌Description
The CNN-IL Institutional Levels indicator represents a breakthrough in automated zone detection technology, combining convolutional neural network principles with advanced statistical modeling. This sophisticated tool identifies high-probability institutional trading zones by analyzing pivot patterns, volume dynamics, and price behavior using machine learning algorithms.
The indicator employs a proprietary 9-factor logistic regression model that calculates real-time reaction probabilities for each detected zone. By incorporating CNN-inspired filtering techniques and dynamic zone management, it provides traders with unprecedented accuracy in identifying where institutional money is likely to react to price action.
🚀Points of Innovation
● CNN-Inspired Pivot Analysis - Advanced binning system using convolutional neural network principles for superior pattern recognition
● Real-Time Probability Engine - Live reaction probability calculations using 9-factor logistic regression model
● Dynamic Zone Intelligence - Automatic zone merging using Intersection over Union (IoU) algorithms
● Volume-Weighted Scoring - Time-of-day volume Z-score analysis for enhanced zone strength assessment
● Adaptive Decay System - Intelligent zone lifecycle management based on touch frequency and recency
● Multi-Filter Architecture - Optional gradient, smoothing, and Difference of Gaussians (DoG) convolution filters
🔧Core Components
● Pivot Detection Engine - Advanced pivot identification with configurable left/right bars and ATR-normalized strength calculations
● Neural Network Binning - Price level clustering using CNN-inspired algorithms with ATR-based bin sizing
● Logistic Regression Model - 9-factor probability calculation including distance, width, volume, VWAP deviation, and trend analysis
● Zone Management System - Intelligent creation, merging, and decay algorithms for optimal zone lifecycle control
● Visualization Layer - Dynamic line drawing with opacity-based scoring and optional zone fills
🔥Key Features
● High-Probability Zone Detection - Automatically identifies institutional levels with reaction probabilities above configurable thresholds
● Real-Time Probability Scoring - Live calculation of zone reaction likelihood using advanced statistical modeling
● Session-Aware Analysis - Optional filtering to specific trading sessions for enhanced accuracy during active market hours
● Customizable Parameters - Full control over lookback periods, zone sensitivity, merge thresholds, and probability models
● Performance Optimized - Efficient processing with controlled update frequencies and pivot processing limits
● Non-Repainting Mode - Strict mode available for backtesting accuracy and live trading reliability
🎨Visualization
● Dynamic Zone Lines - Color-coded support and resistance levels with opacity reflecting zone strength and confidence scores
● Probability Labels - Real-time display of reaction probabilities, touch counts, and historical hit rates for active zones
● Zone Fills - Optional semi-transparent zone highlighting for enhanced visual clarity and immediate pattern recognition
● Adaptive Styling - Automatic color and opacity adjustments based on zone scoring and statistical significance
📖Usage Guidelines
● Lookback Bars - Default 500, Range 100-1000, Controls the historical data window for pivot analysis and zone calculation
● Pivot Left/Right - Default 3, Range 1-10, Defines the pivot detection sensitivity and confirmation requirements
● Bin Size ATR units - Default 0.25, Range 0.1-2.0, Controls price level clustering granularity for zone creation
● Base Zone Half-Width ATR units - Default 0.25, Range 0.1-1.0, Sets the minimum zone width in ATR units for institutional level boundaries
● Zone Merge IoU Threshold - Default 0.5, Range 0.1-0.9, Intersection over Union threshold for automatic zone merging algorithms
● Max Active Zones - Default 5, Range 3-20, Maximum number of zones displayed simultaneously to prevent chart clutter
● Probability Threshold for Labels - Default 0.6, Range 0.3-0.9, Minimum reaction probability required for zone label display and alerts
● Distance Weight w1 - Controls influence of price distance from zone center on reaction probability
● Width Weight w2 - Adjusts impact of zone width on probability calculations
● Volume Weight w3 - Modifies volume Z-score influence on zone strength assessment
● VWAP Weight w4 - Controls VWAP deviation impact on institutional level significance
● Touch Count Weight w5 - Adjusts influence of historical zone interactions on probability scoring
● Hit Rate Weight w6 - Controls prior success rate impact on future reaction likelihood predictions
● Wick Penetration Weight w7 - Modifies wick penetration analysis influence on probability calculations
● Trend Weight w8 - Adjusts trend context impact using ADX analysis for directional bias assessment
✅Best Use Cases
● Swing Trading Entries - Enter positions at high-probability institutional zones with 60%+ reaction scores
● Scalping Opportunities - Quick entries and exits around frequently tested institutional levels
● Risk Management - Use zones as dynamic stop-loss and take-profit levels based on institutional behavior
● Market Structure Analysis - Identify key institutional levels that define current market structure and sentiment
● Confluence Trading - Combine with other technical indicators for high-probability trade setups
● Session-Based Strategies - Focus analysis during high-volume sessions for maximum effectiveness
⚠️Limitations
● Historical Pattern Dependency - Algorithm effectiveness relies on historical patterns that may not repeat in changing market conditions
● Computational Intensity - Complex calculations may impact chart performance on lower-end devices or with multiple indicators
● Probability Estimates - Reaction probabilities are statistical estimates and do not guarantee actual market outcomes
● Session Sensitivity - Performance may vary significantly between different market sessions and volatility regimes
● Parameter Sensitivity - Results can be highly dependent on input parameters requiring optimization for different instruments
💡What Makes This Unique
● CNN Architecture - First indicator to apply convolutional neural network principles to institutional-level detection
● Real-Time ML Scoring - Live machine learning probability calculations for each zone interaction
● Advanced Zone Management - Sophisticated algorithms for zone lifecycle management and automatic optimization
● Statistical Rigor - Comprehensive 9-factor logistic regression model with extensive backtesting validation
● Performance Optimization - Efficient processing algorithms designed for real-time trading applications
🔬How It Works
● Multi-timeframe pivot identification - Uses configurable sensitivity parameters for advanced pivot detection
● ATR-normalized strength calculations - Standardizes pivot significance across different volatility regimes
● Volume Z-score integration - Enhanced pivot weighting based on time-of-day volume patterns
● Price level clustering - Neural network binning algorithms with ATR-based sizing for zone creation
● Recency decay applications - Weights recent pivots more heavily than historical data for relevance
● Statistical filtering - Eliminates low-significance price levels and reduces market noise
● Dynamic zone generation - Creates zones from statistically significant pivot clusters with minimum support thresholds
● IoU-based merging algorithms - Combines overlapping zones while maintaining accuracy using Intersection over Union
● Adaptive decay systems - Automatic removal of outdated or low-performing zones for optimal performance
● 9-factor logistic regression - Incorporates distance, width, volume, VWAP, touch history, and trend analysis
● Real-time scoring updates - Zone interaction calculations with configurable threshold filtering
● Optional CNN filters - Gradient detection, smoothing, and Difference of Gaussians processing for enhanced accuracy
💡Note
This indicator represents advanced quantitative analysis and should be used by traders familiar with statistical modeling concepts. The probability scores are mathematical estimates based on historical patterns and should be combined with proper risk management and additional technical analysis for optimal trading decisions. Indicator
Follow-up Buy / Sell Volume Pressure at Supply / Demand Zones█ Overview:
BE-Volume Footprint & Pressure Candles, is an indicator which is preliminarily designed to analyze the supply and demand patterns based on Rally Base Rally (RBR), Drop Base Drop (DBD), Drop Base Rally (DBR) & Rally Base Drop (RBD) concepts in conjunction to volume pressure. Understanding these concepts are crucial. Let's break down why the "Base" is you Best friend in this context.
Commonness in RBR, DBD, DBR, RBD patterns ?
There is an impulse price movement at first, be it rally (price moving up) or the Drop (price moving down), followed by a period of consolidation which is referred as "BASE" and later with another impulse move of price (Rally or Drop).
Why is the Base Important
1. Market Balance: Base represents a balance between buyers and sellers. This is where decisions are made.
2. Confirmation: It confirms the strength of previous impulse move which has happened.
Base & the Liquidity Play:
Supply & Demand Zone predict the presence of all large orders within the limits of the Base Zone. Price is expected to return to the zone to fill the unfilled orders placed by large players.
For the price to move in the intended direction Liquidity plays the major role. hence indicator aims to help traders in identifying those zones where liquidity exists and the volume pressure helps in confirming that liquidity is making its play.
Bottom pane in the below snapshots is a visual representation of Buyers volume pressure (Green Line & the Green filled area) making the price move upwards vs Sellers volume pressure (Red Line & the Red filled area) making the price move downwards.
Top pane in the below snapshots is a visual representation on the pattern identification (Blue marked zone & the Blue line referred as Liquidity level)
Bullish Pressure On Buy Liquidity:
Bearish Pressure On Sell Liquidity:
█ How It Works:
1. Indicator computes technical & mathematical operations such as ATR, delta of Highs & Lows of the candle and Candle ranges to identify the patterns and marks the liquidity lines accordingly.
2. Indicator then waits for price to return to the liquidity levels and checks if Directional volume pressure to flow-in while the prices hover near the Liquidity zones.
3. Once the Volume pressure is evident, loop in to the ride.
█ When It wont Work:
When there no sufficient Liquidity or sustained Opposite volume pressure, trades are expected to fail.
█ Limitations:
Works only on the scripts which has volume info. Relays on LTF candles to determine intra-bar volumes. Hence, Use on TF greater than 1 min and lesser than 15 min.
█ Indicator Features:
1. StrictEntries: employs' tighter rules (rather most significant setups) on the directional volume pressure applied for the price to move. If unchecked, liberal rules applied on the directional volume pressure leading to more setups being identified.
2. Setup Confirmation period: Indicates Waiting period to analyze the directional volume pressure. Early (lesser wait period) is Risky and Late (longer wait period) is too late for the
ride. Find the quant based on the accuracy of the setup provided in the bottom right table.
3. Algo Enabled with Place Holders:
Indicator is equipped with algo alerts, supported with necessary placeholders to trade any instrument like stock, options etc.
Accepted PlaceHolders (Case Sensitive!!)
1. {{ticker}}-->InstrumentName
2. {{datetime}}-->Date & Time Of Order Placement
3. {{close}}-->LTP Price of Script
4. {{TD}}-->Current Level:
Note: Negative Numbers for Short Setup
5. {{EN}} {{SL}} {{TGT}} {{T1}} {{T2}} --> Trade Levels
6. {{Qty}} {{Qty*x}} --> Qty -> Trade Qty mapped in Settings. Replace x with actual number of your choice for the multiplier
7. {{BS}}-->Based on the Direction of Trade Output shall be with B or S (B == Long Trade & S == Short Trade)
8. {{BUYSELL}}-->Based on the Direction of Trade Output shall be with BUY or SELL (BUY == Long Trade & SELL == Short Trade)
9. {{IBUYSELL}}-->Based on the Direction of Trade Output shall be with BUY or SELL (BUY == SHORT Trade & SELL == LONG Trade)
Dynamic Alerts:
10. { {100R0} }-->Dynamic Place Holder 100 Refers to Strike Difference and Zero refers to ATM
11. { {100R-1} }-->Dynamic Place Holder 100 Refers to Strike Difference and -1 refers to
ATM - 100 strike
12. { {50R2} }-->Dynamic Place Holder 50 Refers to Strike Difference and 2 refers to
ATM + (2 * 50 = 100) strike
13. { {"ddMMyy", 0} }-->Dynamically Picks today date in the specified format.
14. { {"ddMMyy", n} }-->replace n with actual number of your choice to Pick date post today date in the specified format.
15. { {"ddMMyy", "MON"} }-->dynamically pick Monday date (coming Monday, if today is not Monday)
Note. for the 2nd Param-->you can choose to specify either Number OR any letter from =>
16. {{CEPE}} {{ICEPE}} {{CP}} {{ICP}} -> Dynamic Option Side CE or C refers to Calls and PE or P refers to Puts. If "I" is used in PlaceHolder text, On long entries PUTs shall be used
Indicator is equipped with customizable Trade & Risk management settings like multiple Take profit levels, Trailing SL. Indicator
Apex Edge - London Open Session# Apex Edge - London Open Session Trading System
## Overview
The London Open Session indicator captures institutional price action during the first hour of the London forex session (8:00-9:00 AM GMT) and identifies high-probability breakout and retest opportunities. This system tracks the session's high/low range and generates precise entry signals when price breaks or retests these key institutional levels.
## Core Strategy
**Session Tracking**: Automatically identifies and marks the London Open session boundaries, creating a trading zone from the first hour's price range.
**Dual Entry Logic**:
- **Breakout Entries**: Triggers when price closes beyond the session high/low and continues in that direction
- **Retest Entries**: Activates when price returns to test the broken level as new support/resistance
**Performance Analytics**: Built-in win rate tracking displays real-time performance statistics over user-defined lookback periods, enabling data-driven optimization for each currency pair.
## Key Features
### Automated Zone Detection
- Precise London session timing with timezone offset controls
- Visual session boundaries with customizable colours
- Automatic high/low range calculation and display
### Smart Entry System
- Breakout confirmation requiring candle close beyond zone
- Retest detection with configurable pip distance tolerance
- Separate risk/reward ratios for breakout vs retest entries
- Visual entry arrows with clear trade direction labels
### Performance HUD
- Real-time win rate calculation over customizable periods (7-365 days)
- Total trades tracking with win/loss breakdown
- Average risk-reward ratio display
- Color-coded performance metrics (green >70%, yellow >50%, red <50%)
### PineConnector Integration
- Direct MT4/MT5 execution via PineConnector alerts
- Proper forex pip calculations for all currency pairs
- Customizable risk percentage per trade
- Symbol override capability for broker compatibility
- Automatic SL/TP level calculation in pips
## Critical Usage Requirements
### Pair-Specific Optimization
Each currency pair requires individual optimization due to varying volatility characteristics, institutional participation levels, and typical price ranges during London hours. The performance HUD is essential for identifying optimal settings before live trading.
**Recommended Testing Process**:
1. Apply indicator to desired currency pair and timeframe
2. Experiment with session timing - while 8:00-9:00 AM GMT is standard, some pairs may show improved performance with alternative hourly windows (e.g., 7:00-8:00 AM or 9:00-10:00 AM)
3. Adjust Stop Loss distances, Risk/Reward ratios, and Retest distances
4. Monitor win rate over 30+ day periods using the performance HUD
5. Only proceed with live alerts once consistent 60%+ win rates are achieved
6. Create separate optimized chart setups for each profitable pair/timeframe combination
### Timeframe Specifications
This indicator is specifically designed and tested for:
- **1-minute charts**: Optimal for capturing immediate institutional reactions
- **5-minute charts**: Balanced approach between noise reduction and opportunity frequency
Higher timeframes generally produce inferior results due to increased noise and reduced institutional edge during the London session window.
## Settings Configuration
### Session Timing
- **London Open/Close Hours**: Adjust for your chart's timezone
- **Rectangle End Time**: Set to 4:30 PM to stop signals before NY session close
- **Timezone Offset**: Ensure accurate London session capture
### Entry Parameters
- **Retest Distance**: 3-8 pips depending on pair volatility
- **Stop Loss Pips**: Separate settings for breakouts (10-15 pips) and retests (8-12 pips)
- **Risk/Reward Ratios**: Independent ratios for different entry types
### PineConnector Setup
- **License ID**: Your PineConnector license key
- **Symbol Override**: MT4/MT5 symbol names if different from PulseWire
- **Risk Percentage**: Position size as percentage of account balance
- **Prefix/Comment**: Organize trades in terminal
## Manual Trading Limitations
Without PineConnector automation, traders face significant practical challenges:
**Settings Management**: Each currency pair requires different optimized parameters. Switching between charts means manually adjusting multiple settings each time, creating potential for errors and missed opportunities.
**Timing Sensitivity**: London Open signals can occur rapidly during high-volatility periods. Manual execution may result in slippage or missed entries.
**Multi-Pair Monitoring**: Tracking 4-11 currency pairs simultaneously while manually adjusting settings for each switch becomes impractical for most traders.
**Parameter Consistency**: Risk of using suboptimal settings when quickly switching between pairs, potentially compromising the careful optimization work.
## Recommended Workflow
1. **Historical Testing**: Use win rate HUD to identify profitable pairs and optimal parameters
2. **Demo Automation**: Test PineConnector alerts on demo accounts with optimized settings
3. **Live Implementation**: Deploy alerts only on proven profitable pair/timeframe combinations
4. **Ongoing Monitoring**: Regular review of performance metrics to maintain edge
## Risk Disclaimer
This indicator provides analysis tools and automation capabilities but does not guarantee profitable trading outcomes. Past performance does not predict future results. Users should thoroughly backtest and demo trade before risking live capital. The London session strategy works best during specific market conditions and may underperform during low volatility or unusual market environments.
## Support Requirements
Successful implementation requires:
- Basic understanding of London session market dynamics
- PineConnector subscription for automation features
- Patience for proper optimization process
- Realistic expectations about win rates and drawdown periods
This system is designed for serious traders willing to invest time in proper optimization and risk management rather than plug-and-play solutions. Indicator
Indicator
ICT IPDA Liquidity Matrix By AlgoCadosThe ICT IPDA Liquidity Matrix by AlgoCados is a sophisticated trading tool that integrates the principles of the Interbank Price Delivery Algorithm (IPDA), as taught by The Inner Circle Trader (ICT). This indicator is meticulously designed to support traders in identifying key institutional levels and liquidity zones, enhancing their trading strategies with data-driven insights. Suitable for both day traders and swing traders, the tool is optimized for high-frequency and positional trading, providing a robust framework for analyzing market dynamics across multiple time horizons.
# Key Features
Multi-Time Frame Analysis
High Time Frame (HTF) Levels : The indicator tracks critical trading levels over multiple days, specifically at 20, 40, and 60-day intervals. This functionality is essential for identifying long-term trends and significant support and resistance levels that aid in strategic decision-making for swing traders and positional traders.
Low Time Frame (LTF) Levels : It monitors price movements within 20, 40, and 60-hour intervals on lower time frames. This granularity provides a detailed view of intraday price actions, which is crucial for scalping and short-term trading strategies favored by day traders.
Daily Open Integration : The indicator includes the daily opening price, providing a crucial reference point that reflects the market's initial sentiment. This feature helps traders assess the market's direction and volatility, enabling them to make informed decisions based on the day's early movements, which is particularly useful for day trading strategies.
IPDA Reference Points : By leveraging IPDA's 20, 40, and 60-period lookbacks, the tool identifies Key Highs and Lows, which are used by IPDA as Draw On Liquidity. IPDA is an electronic and algorithmic system engineered for achieving price delivery efficiency, as taught by ICT. These reference points serve as benchmarks for understanding institutional trading behavior, allowing traders to align their strategies with the dominant market forces and recognize institutional key levels.
Dynamic Updates and Overlap Management : The indicator is updated daily at the beginning of a new daily candle with the latest market data, ensuring that traders operate with the most current information. It also features intelligent overlap management that prioritizes the most relevant levels based on the timeframe hierarchy, reducing visual clutter and enhancing chart readability.
Comprehensive Customization Options : Traders can tailor the indicator to their specific needs through an extensive input menu. This includes toggles for visibility, line styles, color selections, and label display preferences. These customization options ensure that the tool can adapt to various trading styles and preferences, enhancing user experience and analytical capabilities.
User-Friendly Interface : The tool is designed with a user-friendly interface that includes clear, concise labels for all significant levels. It supports various font families and sizes, making it easier to interpret and act upon the displayed data, ensuring that traders can focus on making informed trading decisions without being overwhelmed by unnecessary information.
# Usage Note
The indicator is segmented into two key functionalities:
LTF Displays : The Low Time Frame (LTF) settings are exclusive to timeframes up to 1 hour, providing detailed analysis for intraday traders. This is crucial for traders who need precise and timely data to make quick decisions within the trading day.
HTF Displays : The High Time Frame (HTF) settings apply to the daily timeframe and any shorter intervals, allowing for comprehensive analysis over extended periods. This is beneficial for swing traders looking to identify broader trends and market directions.
# Inputs and Configurations
BINANCE:BTCUSDT
Offset: Adjustable setting to shift displayed data horizontally for better visibility, allowing traders to view past levels and make informed decisions based on historical data.
Label Styles: Choose between compact or verbose label formats for different levels, offering flexibility in how much detail is displayed on the chart.
Daily Open Line: Customizable line style and color for the daily opening price, providing a clear visual reference for the start of the trading day.
HTF Levels: Configurable high and low lines for HTF with options for style and color customization, allowing traders to highlight significant levels in a way that suits their trading style.
LTF Levels: Similar customization options for LTF levels, ensuring flexibility in how data is presented, making it easier for traders to focus on the most relevant intraday levels.
Text Utils: Settings for font family, size, and text color, allowing for personalized display preferences and ensuring that the chart is both informative and aesthetically pleasing.
# Advanced Features
Overlap Management : The script intelligently handles overlapping levels, particularly where multiple timeframes intersect, by prioritizing the more significant levels and removing redundant ones. This ensures that the charts remain clear and focused on the most critical data points, allowing traders to concentrate on the most relevant market information.
Real-Time Updates : The indicator updates its calculations at the start of each new daily bar, incorporating the latest market data to provide timely and accurate trading signals. This real-time updating is crucial for traders who rely on up-to-date information to execute their strategies effectively and make informed trading decisions.
# Example Use Cases
Scalpers/Day traders: Can utilize the LTF features to make rapid decisions based on hourly market movements, identifying short-term trading opportunities with precision.
Swing Traders: Will benefit from the HTF analysis to identify broader trends and key levels that influence longer-term market movements, enabling them to capture significant market swings.
By providing a clear, detailed view of key market dynamics, the ICT IPDA Liquidity Matrix by AlgoCados empowers traders to make more informed and effective trading decisions, aligning with institutional trading methodologies and enhancing their market understanding.
# Usage Disclaimer
This tool is designed to assist in trading decisions, but it should be used in conjunction with other analysis methods and risk management strategies. Trading involves significant risk, and it is essential to understand the market conditions thoroughly before making trading decisions. Indicator
Rounded Forex Levels: Big-Figure, Mid-Figure, 80-20 levels, BFRNSimple indicator to show Rounded levels in typical Forex pairs: Big figure, Mid-figure, 80-20 Insitutional Levels, 10pip levels, 5pip levels
Wrote this indicator because other ones out there seem to clutter the chart. This is simple, low-clutter and can be set by user to have arbitrary start and end points for the lines.
I wanted the ability for lines to plot discreetly to the right hand side of price as in the chart above, since in my opinion, these are only of secondary consideration to a trader, an extra confirmation/confluence to an existing idea.
//Purpose & Usage:
-Big-figure levels (100pips) & Mid-figure levels (50pips) will have a senstitivity to price, that can be an additional tool when looking for confluence for a target or an entry.
-As well as BF levels and MF levels; Institutional levels (20pips below and 20 pips above a Big Figure level) and standard 10pip or 5pip levels, can be useful in the right context (i.e added confirmation that of a minor sweep target; added conviction in an idea if the level aligns with another seperately derived level).
//User inputs:
-Toggle on/off each of the types of level.
-Line spacing: choose pip spacing of lines .
-Number of lines above/below (i.e. setting of 5 will be 11 lines. One central, 5 above, 5 below).
-Formatting: for each class of lines, code by color, style and width (as per the example chart below).
-Line start offset and line end offset: bars forward/back for each of start point and end point. So lines could be spread right across chart; or neatly pushed to the far right or left of the chart.
//Notes:
-Designed for typical Forex pairs with units close to 1.0 (like Eur/Usd, Usd/Cad, Aud/Usd, Gbp/Usd, Eur/Gbp, Nzd/Usd).
-Lines are based from the rounded close of the previous bar, Updating (if applicable) on each new bar.
Demo Plotting levels in the past; Dialog box example display:
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