Pivot Trend [ChartPrime]The Pivot Trend indicator is a tool designed to identify potential trend reversals based on pivot points in the price action. It helps traders spot shifts in market sentiment and anticipate changes in price direction.
◈ User Inputs:
Left Bars: Specifies the number of bars to the left of the current bar to consider when calculating pivot points.
Right Bars: Specifies the number of bars to the right of the current bar to consider when calculating pivot points.
Offset: Adjusts the sensitivity of pivot point detection.
◈ Indicator Calculation:
The indicator calculates pivot points based on the highest and lowest prices within a specified range of bars. It then determines the trend direction based on whether the current price crossed above upper band or crossed below lower band.
Upper and Lower Bands
◈ Visualization:
Trend direction is indicated by the color of the plotted lines, with blue representing an upward trend and red representing a downward trend.
Buy and sell signals are marked on the chart with corresponding symbols (🅑 for buy signals and 🅢 for sell signals).
Buy and sell signals generated by the indicator can be used in conjunction with other technical analysis tools to confirm trading decisions and manage risk.
Overall, the Pivot Trend indicator offers traders a simple yet effective method for identifying potential trend changes and capturing trading opportunities in the market. Adjusting the input parameters allows for customization according to individual trading preferences and market conditions.
Chỉ báo và chiến lược
Supply and Demand Zones [BigBeluga]🔵 OVERVIEW
The Supply and Demand Zones indicator automatically identifies institutional order zones formed by high-volume price movements. It detects aggressive buying or selling events and marks the origin of these moves as demand or supply zones. Untested zones are plotted with thick solid borders, while tested zones become dashed, signaling reduced strength.
🔵 CONCEPTS
Supply Zones: Identified when 3 or more bearish candles form consecutively with above-average volume. The script then searches up to 5 bars back to find the last bullish candle and plots a supply zone from that candle’s low to its low plus ATR.
Demand Zones: Detected when 3 or more bullish candles appear with above-average volume. The script looks up to 5 bars back for a bearish candle and plots a demand zone from its high to its high minus ATR.
Volume Weighting: Each zone displays the cumulative bullish or bearish volume within the move leading to the zone.
Tested Zones: If price re-enters a zone and touches its boundary after being extended for 15 bars, the zone becomes dashed , indicating a potential weakening of that level.
Overlap Logic: Older overlapping zones are removed automatically to keep the chart clean and only show the most relevant supply/demand levels.
Zone Expiry: Zones are also deleted after they’re fully broken by price (i.e., price closes above supply or below demand).
🔵 FEATURES
Auto-detects supply and demand using volume and candle structure.
Extends valid zones to the right side of the chart.
Solid borders for fresh untested zones.
Dashed borders for tested zones (after 15 bars and contact).
Prevents overlapping zones of the same type.
Labels each zone with volume delta collected during zone formation.
Limits to 5 zones of each type for clarity.
Fully customizable supply and demand zone colors.
🔵 HOW TO USE
Use supply zones as potential resistance levels where sell-side pressure could emerge.
Use demand zones as potential support areas where buyers might step in again.
Pay attention to whether a zone is solid (untested) or dashed (tested).
Combine with other confluences like volume spikes, trend direction, or candlestick patterns.
Ideal for swing traders and scalpers identifying key reaction levels.
🔵 CONCLUSION
Supply and Demand Zones is a clean and logic-driven tool that visualizes critical liquidity zones formed by institutional moves. It tracks untested and tested levels, giving traders a visual edge to recognize where price might bounce or reverse due to historical order flow.
ADX Volatility Waves [BOSWaves]ADX Volatility Waves - Trend-Weighted Volatility Mapping with State-Based Wave Transitions
Overview
ADX Volatility Waves is a regime-aware volatility framework designed to map statistically significant price extremes through adaptive wave structures driven by trend strength.
Rather than treating volatility as a static dispersion metric, this indicator conditions all volatility expansion, contraction, and zone placement on ADX-derived trend intensity. Price behavior is interpreted through wave-like transitions between balance, expansion, and exhaustion states rather than isolated band interactions.
The result is a dynamic, gradient-based wave system that visually encodes volatility cycles and regime shifts in real time, allowing traders to contextualize price movement within trend-weighted volatility waves.
Price is evaluated not by static thresholds, but by its position and progression within adaptive volatility waves shaped by directional strength.
Conceptual Framework
ADX Volatility Waves is built on the premise that volatility unfolds in waves, not straight lines.
Traditional volatility tools identify dispersion but fail to account for how volatility behaves differently across trend regimes. By embedding ADX directly into volatility construction, this indicator ensures that volatility waves expand during strong directional phases and compress during weak or transitioning regimes.
Three guiding principles define the framework:
Volatility must be conditioned on trend strength
Extremes occur within zones, not at lines
Signals should emerge from completed wave transitions, not instantaneous touches
This reframes analysis from reactive mean-reversion toward regime-aware wave interpretation.
Theoretical Foundation
The indicator fuses directional movement theory with statistical volatility modeling.
Bollinger-derived dispersion provides the structural base, while ADX normalization controls the amplitude of volatility waves. As ADX increases, volatility waves widen and deepen; as ADX weakens, waves compress and tighten around equilibrium.
From this foundation, extended upper and lower wave zones are constructed and smoothed to represent statistically significant expansion and contraction phases.
At its core are three interacting systems:
ADX-Controlled Volatility Engine : Standard deviation is dynamically scaled using normalized ADX values, producing trend-weighted volatility waves.
Wave Zone Construction : Smoothed volatility boundaries are offset and expanded to form upper and lower wave zones, defining overextension and compression regions.
State-Based Wave Transition Logic : Signals occur only after price completes a full wave cycle: expansion into an extreme wave zone followed by a confirmed return to equilibrium.
This structure ensures that signals reflect completed volatility waves, not transient noise.
How It Works
ADX Volatility Waves processes price action through layered wave mechanics:
Trend-Weighted Volatility Calculation : Volatility boundaries are dynamically adjusted using ADX influence, allowing wave amplitude to scale with trend strength.
Structural Smoothing : Volatility boundaries are smoothed to stabilize wave geometry and reduce short-term distortions.
Wave Offset & Expansion : Upper and lower wave zones are positioned beyond equilibrium and expanded proportionally to volatility range, forming clearly defined expansion waves.
Gradient Wave Depth Mapping : Each wave zone is subdivided into multiple gradient layers, visually encoding increasing extremity as price moves deeper into a wave.
Wave State Tracking & Cooldown Control : The system tracks prior wave occupancy, enforces neutral stabilization periods, and applies cooldowns to prevent overlapping wave signals.
Compression Detection : Volatility width monitoring identifies compression phases, highlighting conditions where new volatility waves are likely to form.
Together, these processes create a continuous, adaptive wave map of volatility behavior.
Interpretation
ADX Volatility Waves reframes market reading around volatility cycles:
Upper Volatility Waves (Red Gradient) : Represent upside expansion phases. Deeper wave penetration indicates increased overextension relative to trend-adjusted volatility.
Lower Volatility Waves (Green Gradient) : Represent downside expansion phases. Sustained presence signals pressure, while exits toward balance suggest wave completion.
Equilibrium Zone : The neutral region between volatility waves. Confirmed re-entry into this zone marks the completion of a wave cycle and forms the basis for BUY and SELL signals.
Regime Context via ADX : Strong ADX regimes widen waves, reducing premature reversal signals. Weak ADX regimes compress waves, increasing sensitivity to reversion.
Wave progression and completion matter more than single-bar interactions.
Signal Logic & Visual Cues
ADX Volatility Waves produces single-entry BUY and SELL labels as its visual cues, plotted only when price first enters a volatility wave zone after the defined cooldown period.
Buy Signal (Bottom Zone Entry) : A BUY label appears when price enters the lower volatility wave (oversold zone). This highlights potential expansion into undervalued extremes, providing visual context for trend assessment rather than a guaranteed execution trigger.
Sell Signal (Top Zone Entry) : A SELL label appears when price enters the upper volatility wave (overbought zone). This marks potential overextension into upper volatility extremes, serving as a contextual indicator of trend stress.
All labels respect cooldown tracking to prevent clustering. Alerts are tied directly to these zone-entry signals, and a separate alert monitors volatility squeezes for awareness of compression periods.
Strategy Integration
ADX Volatility Waves integrates cleanly into volatility-aware trading frameworks:
Wave Context Mapping : Use wave depth to assess expansion and exhaustion risk rather than forcing immediate entries.
Transition-Based Execution : Prioritize BUY and SELL signals formed after confirmed wave completion.
Trend-Regime Filtering : In strong ADX regimes, treat waves as continuation pressure. In weak regimes, favor completed wave reversions.
Volatility Cycle Awareness : Monitor compression phases to anticipate the emergence of new volatility waves.
Multi-Timeframe Alignment : Apply higher-timeframe ADX regimes to contextualize lower-timeframe wave behavior.
Technical Implementation Details
Core Engine : ADX-normalized volatility expansion
Wave System : Smoothed, offset, expanded volatility waves
Visualization : Multi-layer gradient wave zones
Signal Logic : State-based wave transitions with cooldown enforcement
Alerts : Wave entry, wave completion, volatility compression
Performance Profile : Lightweight, real-time optimized overlay
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Short-term volatility waves and intraday transitions
15 - 60 min : Structured intraday wave cycles
4H - Daily : Macro volatility regimes and expansion phases
Suggested Baseline Configuration:
BB Length : 20
BB StdDev : 1.5
ADX Length : 14
ADX Influence : 0.8
Wave Offset : 1.0
Wave Width : 1.0
Neutral Confirmation : 5 bars
These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance.
Performance Characteristics
High Effectiveness:
Markets exhibiting rhythmic volatility expansion and contraction
Assets with responsive ADX regime behavior
Reduced Effectiveness:
Erratic, news-driven price action
Illiquid markets with distorted volatility metrics
Integration Guidelines
Confluence : Combine with BOSWaves structure or trend tools
Discipline : Respect wave completion and cooldown logic
Risk Framing : Interpret wave depth probabilistically, not predictively
Regime Awareness : Always contextualize waves within ADX strength
Disclaimer
ADX Volatility Waves is a professional-grade volatility and regime-mapping tool. It does not predict price and does not guarantee profitability. Performance depends on market conditions, parameter calibration, and disciplined execution. BOSWaves recommends using this indicator as part of a comprehensive analytical framework incorporating trend, volatility, and structural context.
Consolidation Zones Volume Delta | Flux ChartsGENERAL OVERVIEW:
The Consolidation Zones Volume Delta | Flux Charts indicator is designed to identify and visualize consolidation zones on the chart. Rather than only outlining areas of sideways price movement, the indicator analyzes volume activity occurring inside each consolidation zone. This is done by aggregating lower-timeframe volume data into the higher-timeframe consolidation range, allowing users to see how buying and selling activity evolves while price remains in a range.
What is the theory behind the indicator?:
The indicator is built around three core analytical concepts that guide how consolidation zones are detected and evaluated.
1. Consolidation as a structural phase
Periods of consolidation are characterized by reduced directional movement and compressed price ranges. During these phases, price action often alternates within a defined high–low boundary, creating a structure that can be objectively measured and tracked over time.
2. Volume behavior inside consolidation
While price may appear balanced within a consolidation range, volume activity inside that range can vary. The indicator evaluates volume contributions occurring within the vertical boundaries of the consolidation zone by using lower-timeframe data and weighting each candle’s volume based on its overlap with the zone. This produces an internal volume delta profile that reflects how buying and selling volume accumulates throughout the consolidation.
Delta behavior inside a zone may show:
Persistent dominance of buying or selling volume
Alternating shifts between buyers and sellers
Periods of relatively balanced participation
3. Markets consolidate in multiple ways, one detection method is not enough
Markets do not consolidate in a single, uniform way. To account for this, the indicator includes three distinct consolidation detection methods. Each method is calculated objectively, does not repaint, and targets a different type of sideways or low-expansion price behavior:
Candle Compression
ADX Low Trend Strength
Visual Range Boundaries
CONSOLIDATION ZONES VOLUME DELTA FEATURES:
The Consolidation Zones Volume Delta indicator includes 4 main features:
Consolidation Zones
Volume Delta
Standard Deviation Bands
Alerts
CONSOLIDATION ZONES:
🔹What is a Consolidation Zone?
A consolidation zone is a defined price range where market movement becomes compressed and price remains contained within clear upper and lower boundaries for a sustained period of time. During this phase, price does not establish a strong directional trend and instead oscillates within a relatively narrow range.
🔹Consolidation Zone Detection
The indicator automatically detects consolidation zones using three independent, rule-based methods. Each method evaluates a different market condition and can be selected individually depending on how you want consolidation to be defined. Regardless of the method used, all zones are calculated objectively and finalized once confirmed.
◇ Candles (Candle Compression)
The Candles method identifies consolidation by detecting periods of candle compression and reduced range expansion. A candle is considered part of a consolidation sequence when:
The candle body is small relative to its total range
The candle’s high–low range is smaller than the short-term Average True Range (ATR)
ATR is calculated using a 4-period average true range and is used as a volatility reference. If consecutive candles continue to meet these compression conditions, the indicator increments an internal count.
Under the Consolidation Candles section in the settings, you’ll find two controls.
Min. Consolidation Candles setting
This defines how many consecutive compressed candles are required before a consolidation zone is confirmed. Candle compression is determined using candle structure and short-term ATR, ensuring that only periods of reduced range expansion are counted. Once the minimum threshold is reached, the indicator creates a consolidation zone using the highest high and lowest low formed during the compressed sequence.
Mark Consolidation Candles
When enabled, the indicator highlights candles that meet the compression criteria, making it easy to visually identify which candles contributed to the formation of the consolidation zone.
◇ ADX (Low Trend Strength)
The ADX method identifies consolidation based on weak or declining trend strength rather than candle structure. This method uses the Average Directional Index (ADX) to determine when directional movement is reduced.
ADX is calculated using directional movement values that are smoothed over time. When ADX remains below a user-defined threshold, price is treated as being in a low-trend market. While this condition persists, the indicator tracks the highest high and lowest low formed during the low-trend period.
Under the ADX Settings section in the settings, you’ll find the following controls.
ADX Length
Defines the lookback period used to calculate directional movement for ADX.
ADX Smoothing
Controls the smoothing applied to the ADX calculation.
ADX Threshold
Sets the level below which ADX must remain for the market to be considered consolidating.
Consolidation Strength
Defines how many consecutive candles’ ADX must stay below the threshold before a consolidation zone is confirmed. Once this requirement is met, the indicator creates a consolidation zone using the accumulated high and low from the low-trend window.
Mark Candles Below Threshold
When enabled, the indicator highlights candles where ADX remains below the threshold.
◇ Visual Range
The Visual Range method identifies consolidation by detecting clearly defined horizontal price ranges where price remains contained for a sustained period of time. The indicator continuously tracks the rolling highest high and lowest low across recent candles. When price remains inside the same high–low boundaries without breaking above or below the range, an internal counter advances.
Under the Visual Range section in the settings, you’ll find the following control.
Min. Candles in Range
Defines how many consecutive candles must remain fully contained within the same high–low range before a consolidation zone is confirmed. Once this requirement is met, the indicator creates a consolidation zone using the established range boundaries.
🔹Consolidation Zone Settings
◇ Invalidation Method
Users can choose how Consolidation Zones are invalidated, selecting between Close Break or Wick Break.
Close Break: A Consolidation Zone is invalidated when a candle closes above/below the zone.
Wick Break: A Consolidation Zone is invalidated when a candle’s wick goes above/below the zone.
◇ Merge Overlapping Zones
When enabled, overlapping Consolidation Zones are automatically combined into one unified zone.
◇ Show Last
This setting determines how many Consolidation Zones are displayed on your chart. For example, setting this to 5 will display the 5 most recent zones.
VOLUME DELTA:
Delta Volume visualizes how buying and selling volume accumulates inside each consolidation zone. Instead of using the full candle volume, the indicator isolates only the volume that occurs within the vertical boundaries of the zone. This allows you to see whether bullish or bearish volume is dominating while price remains range-bound. The visualization updates in real time while the zone is active and reflects cumulative participation rather than individual candles.
🔹How Volume Delta is Calculated
Delta Volume is calculated using lower-timeframe data and applied to the higher-timeframe consolidation zone.
Each candle’s volume is split into bullish or bearish volume based on candle direction.
Lower-timeframe candles are pulled using the selected delta timeframe.
For each lower-timeframe candle, only the portion of volume that vertically overlaps the consolidation zone is counted.
Volume is weighted by the amount of overlap between the candle’s range and the zone’s range.
Bullish and bearish volume are accumulated over time to form a running, cumulative delta profile for the zone.
🔹Volume Delta Settings
◇ Enable
Turns the Delta Volume visualization on or off. Consolidation zones continue to plot when disabled.
◇ Show Delta %
Displays the percentage breakdown of bullish versus bearish volume inside the consolidation zone. Percentages are derived from cumulative volume totals.
◇ 3D Visual
When enabled, the delta blocks are extended diagonally using a depth offset derived from the instrument’s daily ATR. This creates visible side faces and top faces for the delta blocks, simulating depth without altering any calculations. The 3D effect is purely visual. It does not change how volume is calculated, weighted, or accumulated.
Users can control the intensity of the 3D effect choosing a value between 1 and 5. Increasing this value increases:
The horizontal offset of the delta blocks
The vertical depth projection applied to the volume faces
Higher values produce a more pronounced 3D appearance by pushing the delta visualization further away from the consolidation box. Lower values keep the visualization flatter and closer to the box boundaries. The depth scaling is normalized using ATR, so the effect adapts proportionally to the instrument’s volatility.
◇ Volume Delta Display Style
Controls how bullish and bearish volume are displayed inside the Consolidation Zone:
Horizontal: Volume is split top-to-bottom within the zone
Vertical: Volume is split left-to-right across the zone
◇ Timeframe
Defines the lower timeframe used for Volume Delta calculations. When a timeframe is selected, the indicator pulls lower-timeframe price and volume data and maps it into the higher-timeframe consolidation zone. Each lower-timeframe candle is evaluated individually. Only the portion of its volume that vertically overlaps the consolidation zone is included, and that volume is weighted based on the candle’s overlap with the zone’s price range. If the Timeframe field is left empty, the indicator defaults to using the chart’s current timeframe for delta calculations.
Using a lower timeframe increases the granularity of the delta calculation, allowing volume changes inside the zone to be measured more precisely. Using a higher timeframe produces a smoother, less granular delta profile.
Please Note: Delta rendering is automatically limited to available lower-timeframe data to prevent incomplete or distorted visuals when historical lower-timeframe volume is unavailable due to TradingView data limits.
STANDARD DEVIATION BANDS:
Standard Deviation Bands project measured price distance away from a confirmed consolidation zone using the size of that zone as the reference unit. Rather than calculating volatility from historical price dispersion, the bands are derived directly from the height of the consolidation range itself. Each band represents a fixed multiple of the consolidation zone’s height and is plotted symmetrically above and below the zone.
🔹How the bands are calculated
Once a consolidation zone is finalized, the indicator calculates the zone height as:
Zone Height = Zone High − Zone Low
This value becomes the base measurement for all deviation calculations. For each enabled band:
Upper bands are placed above the consolidation zone’s high
Lower bands are placed below the consolidation zone’s low
The distance of each band from the zone is calculated by multiplying the zone height by the selected band multiplier. These band levels are fixed relative to the consolidation zone and do not recalculate based on future price movement.
🔹Standard Deviation Band Settings
◇ Band 1
Enables the first deviation band above and below the consolidation zone. The Band 1 multiplier defines how far the band is placed from the zone in terms of zone height. For example, a multiplier of 1 plots the band one full zone height above and below the consolidation range.
◇ Band 2
Enables a second deviation band at a greater distance from the consolidation zone. Band 2 uses its own multiplier and is calculated independently of Band 1, allowing multiple expansion levels to be displayed simultaneously.
◇ Fill Bands
When enabled, the area between the consolidation zone and each deviation band is filled with a semi-transparent color. Upper fills apply to bands above the zone, and lower fills apply to bands below the zone. Fills are static and tied directly to the consolidation zone boundaries.
◇ Color Customization
Each deviation band has independent color controls for:
Upper band lines and fills
Lower band lines and fills
This allows users to visually distinguish between bullish and bearish extensions as well as between multiple deviation levels.
ALERTS:
Users can create alerts for the following:
New Consolidation Zone Formed
Consolidation Zone Break
UNIQUENESS:
This indicator combines multiple consolidation detection methods with lower-timeframe volume delta analysis inside each consolidation zone. It visualizes bullish and bearish volume using weighted overlap logic and optional 3D rendering for improved clarity. Users can choose how volume is displayed, apply structure-based deviation bands, and enable alerts for new zones and zone breaks. All features are rule-based, configurable, and designed to work together within a single framework.
CT Market Fragility & Systemic Risk Monitor v1.0CT ⊕ Market Fragility & Systemic Risk Monitor v1.0
Systemic Stress & Market Regime Monitor
OVERVIEW
Wall Street-grade structural monitoring now open-source.
CT ⊕ Market Fragility & Systemic Risk Monitor v1.0 is a real-time systemic risk tool designed to detect fragility before it hits price. Built by former institutional traders, it delivers structural insight typically reserved for desks inside hedge funds and global macro desks.
This isn’t about finding entries or exits, it’s about understanding the environment you're trading in, and recognizing when it's shifting.
WHAT IT DOES
• Monitors six key market domains: Equities, Rates/Credit, FX (USD stress), Commodities, Crypto, and Macro
• Detects volatility stress, cross-domain coupling, and regime synchronization
• Classifies market structure into Normal → Fragile → Critical
• Shows a live dashboard with scores, coupling levels, and structural state
• Plots event markers (T1, T2, T3) for structural transitions
• Implements hysteresis logic to model post-stress 'memory
• Supports both single-domain ("Local Mode") and system-wide monitoring
HOW IT WORKS
This engine does not rely on traditional TA. No moving averages. No MACD. No patterns. No guesswork.
Instead, it measures how markets are behaving beneath price detecting when stress is:
• Building internally
• Spreading across domains
• Synchronizing into systemic fragility
T1 (🟠) — Early instability: acceleration in market coupling
T2 (🔵) — Fragile regime: multiple domains simultaneously stressed
T3 (🔴) — Critical regime: synchronized, system-wide stress
These are not buy/sell signals. They are structural regime alerts, the same kind used by institutions to cut risk before stress cascades.
WHY IT MATTERS
Most retail tools are reactive. They interpret surface-level patterns after the move.
This tool is different. It’s proactive – measuring pressure before it breaks structure.
Institutions have used structural fragility models like this for years. This script helps close that gap, giving everyday traders the same early warnings that pros use to reduce exposure and sidestep systemic blowups.
It’s not about finding the edge.
It’s about not getting crushed when the system breaks.
Whether you trade crypto, stocks, FX, or macro, this engine helps answer:
• Is the system stable right now?
• Are stress levels rising across markets?
• Is it time to tighten risk?
Institutions don’t wait for breakouts. They monitor structure.
Now, you can too.
KEY FEATURES
• Works on any asset class and any timeframe
• Fully customizable domain selection
• Three-tier structural alert system (T1–T3)
• Real-time dashboard: stress scores, states, and coupling levels
• Hysteresis modeling: post-stress “memory” detection
• Supports single-domain (local) or multi-domain (systemic) monitoring
• PineScript alerts built-in
RECOMMENDED USE
Active traders - all asset classes
Use the dashboard and T1–T3 alerts to stay aware of structural risk in real time.
Track multi-timeframe alignment to detect where risk originates and how it spreads across markets.
Crypto trader s
Monitor upstream domains (Equities, FX, Rates, Macro) to detect pressure before it reaches crypto.
Identify reflexive stress before Bitcoin reacts — and stay ahead of contagion events.
Macro & systematic traders
Use T1–T3 transitions as volatility filters, exposure governors, or dynamic risk overlays.
Build regime-aware models that adapt to shifting systemic conditions.
Examples & Visuals
Question: Would it have helped to know that at 9:30 on October 9th and again at 10:00 on October 10th that critical states were detected in the structural behavior of Bitcoin? Take a look:
30 min chart BTC shows two distinct T3 (critical) regime detections October 9th and 10:30 October 10th
5m BTC chart reveals high frequency instability for the same period, identifying instability, fragility, criticality
The 30minute BTC chart at 16:30 Friday October 10th,, a few hours after first detecting critical systemic risk
RISK DISCLAIMER
This is a structural analysis tool, not a predictive signal. It does not provide financial advice, trade entries, or forecasts. Use at your own risk. Full disclaimer embedded in the script.
Complexity Trading - From Wall St to Main St
No patterns. No repainting. No mysticism. Just logic, math, science and market structure - now made accessible to everyone.
Developer of LPPL Critical Pulse (LPPLCP), the Temporal Phase Model (TPM) and other
other advanced structural and attractor based systems inspired by Sornette’s LPPL framework and other differentiated thinkers.
Note on Methodology
This tool is not predictive, and not designed for academic publication.
It is a real-time structural monitoring system inspired by academically established concepts,
including LPPL attractor dynamics, cross-asset coupling, reflexivity, and phase regime transitions, implemented within the real-time constraints of PineScript, and intended for visual, exploratory, and diagnostic use.
RSI Divergence LiquidityRSI Divergence Liquidity is an indicator designed to help you catch high-probability BUY reversals by combining two powerful concepts:
OANDA:XAUUSD
Liquidity Sweep / Swing Low: automatically marks swing-low levels and tracks when price sweeps below them and reacts back.
Bullish RSI Divergence: filters noise by comparing RSI at the swing area versus RSI at the retest, favoring reversals with stronger momentum confirmation.
How it works
The script draws Swing Low lines using Pivot Lows. When a new Swing Low forms, the previous one is cut/frozen .
When price retests a Swing Low and the candle conditions are met (bar n bullish, bar n-1 bearish), the script checks:
Whether RSI at n/n-1 is higher than the RSI at the swing (bullish divergence logic)
Whether min RSI at the swing is below a threshold (default < 36) to focus on oversold swing areas
If all conditions pass, the indicator prints an upward triangle right when bar n closes → a potential BUY signal.
How to use
Enter BUY when an up triangle appears at/near the Swing Low (liquidity sweep zone).
Stop Loss idea: below the most recent swing low / below the sweep wick.
Take Profit idea: nearest supply zone, prior high, or fixed RR such as 1:2 / 1:3 depending on your system.
Recommended settings
Best on: M5–H1 (depending on your style), especially effective when price is trending down and performs a clear sweep.
For stricter filtering: lower Max minRSI at Swing (x) to only take signals from deeper RSI lows.
Smaller Pivot Lookback → more swings/signals; larger values → fewer but cleaner swings.
Note: This tool improves probability, not certainty. Combine it with market structure / key levels and proper risk management for best results.
"Clean Market Structure & Trend Confirmation" Clean Market Structure & Trend Confirmation is a high-probability Market Structure and Trend Confirmation indicator trading system designed specifically for SPY and QQQ.
It combines trend structure, multi-timeframe confirmation, momentum gating, and market-state filtering to deliver clean, disciplined BUY and SELL signals — without noise, chop, or over-trading.
This script is built for traders who want clarity first, execution second.
Buy the dips StrategyThis strategy getting in long position only after the price drop- Buy the dips
The % of the drop is Determined by SMA for the first trade
The inputs of SMA and % of the drop can be adjust from the User
After that Strategy start taking safe trades if not take profit from the first trade
The safe trades are Determined by step down deviation % and by quantity
There is no Stop loss is not for one with small tolerance to getting under
if any question ask
Bollinger Bands Forecast with Signals (Zeiierman)█ Overview
Bollinger Bands Forecast with Signals (Zeiierman) extends classic Bollinger Bands into a forward-looking framework. Instead of only showing where volatility has been, it projects where the basis (midline) and band width are likely to drift next, based on recent trend and volatility behavior.
The projection is built from the measured slopes of the Bollinger basis, the standard deviation (or ATR, depending on the mode), and a volatility “breathing” component. On top of that, the script includes an optional projected price path that can be blended with a deterministic random walk, plus rejection signals to highlight failed band breaks.
█ How It Works
⚪ Bollinger Core
The script first computes standard Bollinger Bands using the selected Source, Length, and Multiplier:
Basis = SMA(Source, Length)
Band width = Multiplier × StDev(Source, Length)
Upper/Lower = Basis ± Width
This remains the “live” (non-forecast) structure on the chart.
⚪ Trend & Volatility Slope Estimation
To project forward, the indicator measures directional drift and volatility drift using linear regression differences:
Basis slope from the Bollinger basis
StDev slope from the Bollinger deviation
ATR slope for ATR-based projection mode
These slopes drive the forecast bands forward, reflecting the market’s recent directional and volatility regime.
⚪ Projection Engine (Forecast Bands)
At the last bar, the indicator draws projected basis, upper, and lower lines out to Forecast Bars. The projected basis can be:
Trend (straight linear projection)
Curved (ease-in/out transition toward projected endpoints)
Smoothed (extra smoothing on projected basis/width)
⚪ Price Path Projection + Optional Random Walk
In addition to projecting the bands, the script can draw a price forecast path made of a small number of zigzag swings.
Each swing targets a point offset from the projected basis by a multiple of the projected half-width (“width units”).
Decay gradually reduces swing size as the forecast deepens.
The Optional Random Walk Blend adds a deterministic drift component to the zigzag path. It’s not true randomness; it’s a stable pseudo-random sequence, so the drawing doesn’t jump around on refresh, while still adding “natural” variation.
⚪ Rejection Signals
Signals are based on failed attempts to break a band:
Bear Signal (Down): price tries to push above the upper band, then falls back inside, while still closing above the basis.
Bull Signal (Up): price tries to push below the lower band, then returns back inside, while still closing below the basis.
█ How to Use
⚪ Forward Support/Resistance Corridors
Treat the projected upper/lower bands as a future volatility envelope, not a guarantee:
The upper projection ≈ is likely a resistance level if the regime persists
The lower projection ≈ is likely a support level if the regime persists
Best used for trade planning, targets, and “where price could travel” under similar conditions.
⚪ Regime Read: Trend + Volatility
The projection shape is informative:
Rising basis + expanding width → trend with increasing volatility (needs wider stops / more caution)
Flat basis + compressing width → contraction regime (often precedes expansion)
⚪ Signals for Mean-Reversion / Failed Breakouts
The rejection markers are useful for fade-style setups:
A Down signal near/after upper-band failure can imply rotation back toward the basis.
An Up signal near/after lower-band failure can imply snap-back toward the basis.
With MA filtering enabled, signals are constrained to align with the broader bias, helping reduce chop-driven noise.
█ Related Publications
Donchian Predictive Channel (Zeiierman)
█ Settings
⚪ Bollinger Band
Controls the live Bollinger Bands on the chart.
Source – Price used for calculations.
Length – Lookback period; higher = smoother, lower = more reactive.
Multiplier – Bandwidth; higher = wider bands, lower = tighter bands.
⚪ Forecast
Controls the forward projection of the Bollinger Bands.
Forecast Bars – How far into the future the bands are projected.
Trend Length – Lookback used to estimate trend and volatility slopes.
Forecast Band Mode – Defines projection behavior (linear, curved, breathing, ATR-based, or smoothed).
⚪ Price Forecast
Controls the projected price path inside the bands.
ZigZag Swings – Number of projected oscillations.
Amplitude – Distance from basis, measured in bandwidth units.
Decay – Shrinks swings further into the forecast.
⚪ Random-Walk
Adds controlled randomness to the price path.
Enable – Toggle random-walk influence.
Blend – Strength of randomness vs. zigzag.
Step Size – Size of random steps (band-width units).
Decay – Reduces randomness as the forecast deepens.
Seed – Changes the (stable) random sequence.
⚪ Signals
Controls rejection/mean-reversion signals.
Show Signals – Enable/disable signal markers.
MA Filter (Type/Length) – Filters signals by trend direction.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Liquidity Levels Pro Tool - thewallranka
Liquidity Levels Pro Tool is a market-structure and liquidity-mapping indicator designed to help discretionary futures and index traders identify statistically relevant price levels where reactions, continuations, or liquidity sweeps are more likely to occur.
This script is a decision-support tool, not a signal generator. It does not issue buy/sell alerts or predict future price movement. Instead, it organizes and scores liquidity information so traders can make their own contextual decisions.
What this indicator does
The script continuously detects and maintains liquidity zones derived from price pivots, then evaluates those zones using multiple structural and contextual factors:
Repeated price interaction (touches)
Freshness (time since last interaction)
Confluence with key reference levels
Reaction behavior after contact
Session relevance (RTH vs overnight)
Market regime (trend vs mean reversion)
Time-of-day effects (open, midday, power hour)
Only the most relevant zones—based on a dynamic scoring system—are displayed to reduce chart clutter and focus attention on levels that have historically mattered.
Core components
1. Liquidity Zones
Zones are built from pivot highs and lows and expanded into areas using a configurable tick-based padding. Nearby zones are merged to avoid redundancy.
Each zone is continuously evaluated and assigned a score (0–100) reflecting its relative importance.
2. Zone Scoring (No Lookahead)
Zone scores are based on:
Number of confirmed interactions
Recency of the last touch
Confluence with prior day/week levels, VWAP, and Opening Range
Reaction quality after touches (speed and follow-through)
Session alignment (zones that “work” in the current session are favored)
Penalties after liquidity sweeps
Zones are not forward-looking and do not rely on future data.
3. Context Engine
The script classifies the current environment using VWAP slope and distance:
Trend (up or down)
Mean reversion
Mixed/transition
Time-of-day context (Open, Midday, Power Hour) is also tracked internally and influences zone scoring.
This context is displayed in the HUD to support situational awareness, not automated decisions.
4. Liquidity Sweeps
Optional sweep detection highlights situations where price trades beyond a zone and closes back inside, indicating potential stop runs or failed breakouts.
Sweeps are rate-limited and applied conservatively to avoid visual noise.
5. Trade Planning Levels (Optional)
When enabled, the script highlights the nearest high-quality liquidity level above and below price based on score thresholds.
These are intended as reference targets, not trade entries or exits.
HUD (Heads-Up Display)
The on-chart HUD summarizes:
Key reference levels (prior day/week, Opening Range)
Nearest strong liquidity above/below price
Market regime and time-of-day context
Distance to levels (ticks or points)
The HUD is fully optional, positionable, and includes resizable modes (Small / Medium / Large) to fit different chart layouts.
How to use this tool
This indicator is best used as part of a discretionary trading process, for example:
Identifying areas where price is more likely to react or pause
Framing trades around higher-quality structure instead of arbitrary levels
Filtering setups based on session and regime context
Managing expectations near known liquidity rather than chasing price
It is intentionally designed not to provide trade signals.
Limitations and important notes
This script does not predict outcomes or guarantee reactions
High-scoring zones can still fail
Liquidity behavior is context-dependent and probabilistic
No performance claims or backtested results are provided
The indicator should not be used in isolation
Past behavior does not imply future results.
Chart and usage notes
The script is intended for standard time-based charts
Recommended for liquid futures and index products
Use a clean chart for clarity when publishing or sharing
No external indicators are required
Final note
Liquidity Levels Pro (Tool) — v6 is designed to organize complex market structure into a clear, readable framework, allowing traders to focus on execution and risk management rather than raw level detection.
This script reflects an analytical approach to intraday liquidity and structure, not an automated trading system.
SMI Trigger System - Lower - NPR21/ChatGPTSMI Trigger System (Lower) — Buy Low / Hrugu (Modified)
This indicator is a modified version of the original SMI Trigger System created by Buy Low, with later enhancements by Hrugu, published with permission.
The script is a lower-pane Smoothed Stochastic Momentum Index (SMI) designed to deliver clear, visually intuitive momentum signals without unnecessary clutter. This version focuses exclusively on SMI behavior and removes auxiliary indicators to keep signals clean, readable, and consistent across timeframes.
Key Features
Smoothed SMI line with dynamic color changes based on momentum direction
Raw SMI line for additional reference
Zero-line split cloud shading for quick bullish/bearish momentum identification
Upper and lower SMI reference levels for overbought/oversold context
Exact-bar SMI color-flip triangle markers for immediate visual confirmation
Adjustable triangle size and offset so markers do not overlap the SMI line
Fully customizable colors for:
Zero line
Smoothed SMI (up/down)
Raw SMI
Cloud above and below zero
Upper and lower SMI levels
How to Use
This indicator is designed to highlight momentum shifts, not to predict price. It works best when combined with price structure, trend context, or higher-timeframe bias.
1. SMI Line & Color Changes
The smoothed SMI line changes color based on momentum direction:
Up color → momentum strengthening
Down color → momentum weakening
A color change often signals a potential momentum shift.
2. SMI Color-Flip Triangles
Green ▲ triangle below the SMI
Appears when the smoothed SMI turns upward (bearish → bullish momentum).
Red ▼ triangle above the SMI
Appears when the smoothed SMI turns downward (bullish → bearish momentum).
Triangles are plotted on the same bar the SMI changes color and are offset so they do not overlap the SMI line.
These markers are intended as visual confirmations, not standalone trade signals.
3. Zero Line & Cloud
The zero line separates bullish and bearish momentum regimes.
Cloud above zero → bullish momentum bias
Cloud below zero → bearish momentum bias
Stronger signals often occur when SMI flips in the direction of the cloud.
4. Upper & Lower SMI Levels
Upper and lower reference levels help identify extended momentum.
Momentum flips near or beyond these levels may indicate:
Exhaustion
Potential pullbacks
Trend continuation setups when aligned with higher-timeframe direction
5. Best Practices
Use this indicator as a confirmation tool, not a prediction tool.
Combine with:
Market structure
Support and resistance
Trend direction
Volume or price action
Works well on tick charts, intraday timeframes, and higher-timeframe analysis.
Additional Notes
Triangles do not repaint
All visual elements are user-configurable
No ADX or Awesome Oscillator components
Designed for clarity, speed, and ease of interpretation
This script is intended for analytical and educational purposes only and does not constitute trading advice.
Big Trades Whale Detector [Volume Anomalies] By HKOverview The "Big Trade Detector" helps you spot institutional footprints by identifying volume anomalies that act as outliers compared to recent history. It uses statistical analysis (Standard Deviation) to filter out noise and highlight only significant buying or selling pressure.
Features:
Volume Decomposition: Approximates buy/sell volume based on price action within the candle (Close vs. Range).
3-Tier Detection: Uses dynamic thresholds to categorize volume spikes into Small, Medium, and Extreme events.
Smart Calculation: Compares current volume against the previous average to detect sudden shifts in momentum.
Visuals:
Green Circles (Below Bar): Unusual Buying Pressure (Support defense or Breakout).
Red Circles (Above Bar): Unusual Selling Pressure (Resistance defense or Dump).
Size Matters: The larger the circle, the higher the standard deviation (Sigma) of that volume event.
Options Pivot Smile## Options Pivot Smile
**Options Pivot Smile** is a visual market-structure indicator that transforms classic daily pivot levels into a smooth, bell-shaped “smile curve.” It is designed to help traders understand price equilibrium, directional bias, and volatility expansion using historically anchored support and resistance zones.
The script is optimized for discretionary analysis, options structure mapping, and futures market context.
---
### Core Concept
This indicator calculates **previous-day Pivot, S1, S2, R1, and R2** levels and projects them backward across configurable historical widths. These anchor points are then connected using a **Catmull–Rom spline**, producing a smooth bell-shaped curve that represents market balance and skew.
The result is a **visual distribution of price pressure**, rather than static horizontal levels.
---
### Key Features
#### 1. Daily Pivot-Based Levels
* Uses **previous daily High, Low, Close**
* Calculates:
* Pivot (P)
* Support: S1, S2
* Resistance: R1, R2
* Optional **pivot shift** for futures or synthetic instruments
* Optional **spread rounding** for options strike alignment
---
#### 2. Historical Anchor Projection
Each level is placed at a different historical distance:
* **R2 / S2** → farthest back
* **R1 / S1** → medium range
* **Pivot** → nearest anchor
This spacing creates the structural foundation for the bell curve.
---
#### 3. Smile / Bell Curve Visualization
* Smooth curve generated using **Catmull–Rom spline interpolation**
* Adjustable smoothness (number of curve segments)
* Customizable color and line width
* Represents equilibrium, skew, and volatility structure
---
#### 4. Structural Aids
Optional visual components include:
* Horizontal projection lines to the current bar
* Dotted straight connecting lines between anchor points
* Anchor dots at each pivot level
* Adaptive-width level boxes scaled by ATR
---
#### 5. Professional Styling Controls
* Line style: Solid / Dotted / Dashed
* Adjustable strike line width
* Independent colors for:
* S2, S1
* Pivot
* R1, R2
* Box opacity, borders, and label text colors
---
### Use Cases
* Market balance and mean-reversion analysis
* Options strike clustering and distribution framing
* Futures pivot bias visualization
* Contextual support/resistance mapping
* Intraday and swing structure reference
---
### Notes & Limitations
* This is a **visual analytical tool**, not a trading strategy
* Does not generate buy/sell signals
* Best used in conjunction with price action, volume, or volatility tools
* Requires sufficient historical bars to render the full structure
---
### Recommended Timeframes
* Intraday (5m–30m) for structure context
* H1–H4 for swing equilibrium
* Works on all symbols with daily data availability
---
**Options Pivot Smile** converts traditional pivot math into an intuitive visual distribution, helping traders see market structure as a curve rather than isolated lines.
Displacement## Displacement Indicator (Institutional Momentum Filter)
This indicator highlights **true price displacement** — candles where price moves with **abnormal force relative to recent volatility**.
It is designed to help traders distinguish **real momentum** from normal market noise.
Displacement often precedes:
- Breaks of structure
- Fair Value Gaps (FVGs)
- Strong continuation or meaningful pullbacks
This tool focuses on **confirmation**, not prediction.
---
### 🔍 How Displacement Is Defined
A candle is marked as *displacement* only when **all conditions are met**:
• Candle body is larger than a multiple of ATR (volatility-adjusted)
• Candle body makes up a high percentage of the full candle (strong close)
• Directional conviction (bullish or bearish close)
This filters out:
- Small or average candles
- Wick-heavy indecision
- Low-quality breakouts
---
### 🎯 What This Indicator Is Best Used For
✔ Confirming impulsive moves
✔ Validating structure breaks
✔ Anchoring Fair Value Gaps
✔ Filtering low-probability setups
✔ Identifying institutional participation
Works best on **M5, M15, and H1**, especially during **London and NY sessions**.
---
### ⚠️ Important Notes
• This is **not** a buy/sell signal by itself
• Best used with trend, structure, or liquidity context
• Not designed for ranging or low-volatility markets
Think of this indicator as a **momentum truth filter** —
if displacement is missing, conviction is likely missing too.
---
### ⚙️ Inputs Explained
• ATR Length – defines normal volatility
• ATR Multiplier – how aggressive displacement must be
• Minimum Body % – ensures strong candle closes
All inputs are adjustable to fit different markets and styles.
---
### 🧠 Philosophy
Displacement reflects **commitment**, not anticipation.
This tool helps you wait for **proof**, not hope.
---
If you want, I can:
- Tighten this for **ICT-style language**
- Rewrite for **beginner clarity**
- Add a **“How I personally use it”** section
- Optimize it for **TradingView algorithm visibility**
**Tell me which you want changed.**
EMA Trend & Stochastic Signal IndicatorThis indicator displays trend-aligned Stochastic crossover signals using EMA structure and swing-based directional filtering for market analysis.
SMC Academy [PhenLabs]📊 SMC Academy
Version: PineScript™ v6
📌 Description
The SMC Academy indicator is a comprehensive educational tool designed to demystify Smart Money Concepts (SMC) for traders of all levels. Unlike standard indicators that simply print signals, this script uses a “Learning Phase” system that allows users to toggle between individual concepts—such as Market Structure, Liquidity, Imbalances, and Order Blocks—or view them all simultaneously. It lets you focus on one piece of the puzzle at a time.
🚀 Points of Innovation
Progressive Learning Modes: Toggle between 5 distinct phases to master concepts individually before using the Full Strategy Mode.
Educational Tooltips: Hover over labels to read detailed explanations of why a BOS, MSS, or Liquidity zone was identified.
Smart Filtering: Uses ATR and Volume integration to filter out low-quality Fair Value Gaps and weak Order Blocks.
HTF Dashboard: A built-in panel analyzes Higher Timeframe (4H) data to ensure you are trading in alignment with the broader trend.
🔧 Core Components
Market Structure Engine: Automatically detects Swing Highs and Lows to map out market direction using configurable swing lengths.
Liquidity Manager: Identifies unmitigated swing points that serve as Buy-Side (BSL) and Sell-Side (SSL) liquidity magnets.
Imbalance Detector: Highlights Fair Value Gaps (FVG) where price inefficiencies exist, using ATR thresholds to ignore noise.
Order Block Identifier: Locates the specific candles responsible for structure breaks, validated by volume analysis.
🔥 Key Features
Break of Structure (BOS): Automatically marks trend continuation signals with solid lines and color-coded labels.
Market Structure Shift (MSS): Identifies potential trend reversals when significant swing points are breached.
Dashboard Context: Displays the current trend direction and the 4H context directly on your chart.
Custom Alerts: Built-in alert conditions for structure breaks and new Order Blocks allow for automated tracking.
🎨 Visualization
Structure Lines: Solid lines indicate confirmed breaks (Green for Bullish, Red for Bearish).
Liquidity Zones: Dotted lines extending rightward indicate resting liquidity levels that price may target.
FVG Boxes: Shaded boxes highlight imbalance zones, automatically extending for a user-defined number of bars.
Dashboard: A clean, non-intrusive table in the top-right corner displays trend status and active mode.
📖 Usage Guidelines
Setting Categories
Learning Mode: Select from ‘1. Market Structure’ through ‘5. Full Strategy Mode’ to filter what appears on the chart.
Swing Detection Length: Default (5). Determines the sensitivity of the swing high/low detection.
Structure Break Type: Options (Close/Wick). Choose whether a candle close or just a wick is required to confirm a break.
Min FVG Size: Default (0.5 ATR). Filters out gaps smaller than this multiplier to reduce noise.
Filter Weak OBs by Volume: Default (True). Only highlights Order Blocks where volume exceeds the 20-period average.
✅ Best Use Cases
Educational Study: Isolate “Phase 1: Market Structure” to practice identifying trend changes without distraction.
Trend Following: Use “Phase 3: Imbalances” to find entry points within an established trend.
Reversal Trading: Combine “Phase 2: Liquidity” and “Phase 4: Order Blocks” to catch reversals at key levels.
⚠️ Limitations
Subjectivity: Market structure can be interpreted differently depending on the swing length settings used.
Ranging Markets: Like all trend-following concepts, false BOS/MSS signals may generate during choppy, sideways price action.
Repainting: While the signals are non-repainting once confirmed, the live candle may flash a signal before the close if “Close” mode is selected.
💡 What Makes This Unique
Interactive Learning: The inclusion of tooltip explanations transforms this from a simple tool into an active mentor.
Phase-Based Workflow: The ability to strip the chart back to basics at the click of a button is unique to the PhenLabs ecosystem.
🔬 How It Works
Swing Analysis: The script calculates pivot highs and lows based on your length input to define the structural landscape.
Break Validation: It checks if price crosses these pivot points to trigger BOS (Continuation) or MSS (Reversal) logic.
Volume Confirmation: For Order Blocks, it looks back inside the swing leg to find the specific candle responsible for the move, verifying it has significant volume.
💡 Note:
For the best experience, start in Phase 1 to calibrate your Swing Detection Length to the specific volatility of the asset you are trading before enabling Full Strategy Mode.
Elev8+ Impulse LevelsElev8+ Impulse Levels | Smart Support & Resistance
Ever notice price rejecting “empty” areas on the chart—like it remembered something that isn’t obvious?
That “something” is often Institutional Impulse : footprints left behind by large, aggressive moves that get defended again days or weeks later .
Elev8+ Impulse Levels automatically detects these moments and projects the most important prices forward so you can see the structure most traders miss.
— — —
🧠 How It Works (The Logic)
This is not a typical support/resistance tool. It does not hunt swing highs/lows.
It looks for Market Intent —the “Perfect Storm” when two conditions align:
Volume Spike — buying/selling pressure significantly exceeds average volume (multiplier-based).
Volatility Expansion — the candle body is unusually large relative to recent ATR.
When both occur, the script marks the event and treats the impulse close as a key “line in the sand” that can influence future reactions.
— — —
🎯 How to Use These Levels
The script includes a Smart Line behavior that changes level styling based on how price interacts with it—so you can quickly separate two core setups:
1) The Defense (Bounce)
Visual: 🟢 Solid line (Fresh / Untouched)
What it means: Price has not yet traded through or “invalidated” the level.
What to look for: First return to the level → rejection / bounce behavior.
Why it matters: Large players often defend prior entries; first tests can react sharply.
2) The Flip (Break & Retest)
Visual: ◌ Dotted line (Broken / Re-priced)
What it means: A candle has closed through the level.
What to look for: Price returns to the dotted level from the other side (“kiss”) → continuation.
Why it matters: Broken support can act as resistance (and vice versa), similar to a breaker concept.
— — —
✨ Key Features
Smart Visualization — levels automatically transition from solid → dotted when broken to reduce chart noise.
Impulse Candle Highlighting — see the exact candle that created the level (origin clarity).
Fully Customizable Sensitivity — tune volume + size thresholds for Crypto, Forex, Futures, or Stocks.
— — —
🚀 The Elev8+ Workflow
Think of Impulse Levels as your map : it shows where reactions are most likely.
For entry timing, pair it with Elev8+ Pro Reversal to confirm the moment price reacts at these high-value zones.
— — —
Disclaimer: Trading involves risk. This tool is for educational/technical analysis purposes only and does not guarantee future results.
MTF H4 Double Maru - All Historydouble marubozu level at h4 will appear at lower timeframe, use it wisely , take action after price already near or react with the level
Free Cash Flow Yield based Trailing Twelve Months and EVFCF / Enterprise Value (TTM FCF ÷ Daily EV)
Find the Free Cash Flow Yield a company has.
This is not to be used for valuating banks or FinTech.
Approved Engulfing - Confirmed Close Triggerit a single engulfing that i personally chase to find a good setup
SCOTTGO - Buy Sell Volume📊 SCOTTGO - Buy Sell Volume Bars - Delta - Up Down Volume Bars
This indicator disaggregates the total volume traded on each bar into estimated Buying Volume and Selling Volume to visualize market pressure and dominance directly in a dedicated sub-pane.
Key Features:
Volume Disaggregation: Uses a standard formula to estimate how much of a bar's total volume was associated with upward (buying) pressure and how much was associated with downward (selling) pressure.
Visual Clarity: Plots the Buy Volume (teal, upward) and Sell Volume (red, downward) as separate columns against a transparent total volume background, allowing for quick assessment of pressure balance.
Real-Time Badge: A dynamic badge is fixed to the corner of the chart (default: Top Right) providing a numeric summary of the latest bar:
Buy %: Percentage of the bar's total volume estimated as Buying Volume.
Sell %: Percentage of the bar's total volume estimated as Selling Volume.
Delta %: The magnitude of the volume difference (Delta) as a percentage of total volume, indicating the strength of the dominant side.
Dominance Indicator: The background color of the badge changes dynamically to immediately signal whether Buying (customizable color, default: Teal) or Selling (customizable color, default: Red) pressure was dominant on the current bar.
Usage:
Traders can use this tool to identify periods of heavy accumulation (high Buy Volume) or distribution (high Sell Volume), providing insight into the conviction behind price movements.
