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.
Penunjuk dan strategi
Arbitrage Detector [LuxAlgo]The Arbitrage Detector unveils hidden spreads in the crypto and forex markets. It compares the same asset on the main crypto exchanges and forex brokers and displays both prices and volumes on a dashboard, as well as the maximum spread detected on a histogram divided by four user-selected percentiles. This allows traders to detect unusual, high, typical, or low spreads.
This highly customizable tool features automatic source selection (crypto or forex) based on the asset in the chart, as well as current and historical spread detection. It also features a dashboard with sortable columns and a historical histogram with percentiles and different smoothing options.
๐ถ USAGE
Arbitrage is the practice of taking advantage of price differences for the same asset across different markets. Arbitrage traders look for these discrepancies to profit from buying where itโs cheaper and selling where itโs more expensive to capture the spread.
For begginers this tool is an easy way to understand how prices can vary between markets, helping you avoid trading at a disadvantage.
For advanced traders it is a fast tool to spot arbitrage opportunities or inefficiencies that can be exploited for profit.
Arbitrage opportunities are often shortโlived, but they can be highly profitable. By showing you where spreads exist, this tool helps traders:
Understand market inefficiencies
Avoid trading at unfavorable prices
Identify potential profit opportunities across exchanges
As we can see in the image, the tool consists of two main graphics: a dashboard on the main chart and a histogram in the pane below.
Both are useful for understanding the behavior of the same asset on different crypto exchanges or forex brokers.
The tool's main goal is to detect and categorize spread activity across the major crypto and forex sources. The comparison uses data from up to 19 crypto exchanges and 13 forex brokers.
๐น Forex or Crypto
The tool selects the appropriate sources (crypto exchanges or forex brokers) based on the asset in the chart. Traders can choose which one to use.
The image shows the prices and volumes for Bitcoin and the euro across the main sources, sorted by descending average price over the last 20 days.
๐น Dashboard
The dashboard displays a list of all sources with four main columns: last price, average price, volume, and total volume.
All four columns can be sorted in ascending or descending order, or left unsorted. A background gradient color is displayed for the sorted column.
Price and volume delta information between the chart asset and each exchange can be enabled or disabled from the settings panel.
๐น Histogram
The histogram is excellent for visualizing historical values and comparing them with the asset price.
In this case, we have the Euro/U.S. Dollar daily chart. As we can see, the unusual spread activity detected since 2016, with values at or above 98%, is usually a good indication of increased trader activity, which may result in a key price area where the market could turn around.
By default, the histogram has the gradient and smoothing auto features enabled.
The differences are visible in the chart above. On top is an adaptive moving average with higher values for unusual activity. At the bottom is an exponential moving average with a length of 9.
The differences between the gradient and solid colors are evident. In the first case, the colors are in sync with the data values, becoming more yellow with higher values and more green with lower values. In the second case, the colors are solid and only distinguish data above or below the defined percentiles.
๐ถ SETTINGS
Sources: Choose between crypto exchanges, forex brokers, or automatic selection based on the asset in the chart.
Average Length: Select the length for the price and volume averages.
๐น Percentiles
Percentile Length: Select the length for the percentile calculation, or enable the use of the full dataset. Enabling this option may result in runtime errors due to exceeding the allotted resources.
Unusual % >: Select the unusual percentile.
High % >: Select the high percentile.
Typical % >: Select the typical percentile.
๐น Dashboard
Dashboard: Enable or disable the dashboard.
Sorting: Select the sorting column and direction.
Position: Select the dashboard location.
Size: Select the dashboard size.
Price Delta: Show the price difference between each exchange and the asset on the chart.
Volume Delta: Show the volume difference between each exchange and the asset on the chart.
๐น Style
Unusual: Enable the plot of the unusual percentile and select its color.
High: Enable the plot of the high percentile and select its color.
Typical: Enable the plot of the typical percentile and select its color.
Low: Select the color for the low percentile.
Percentiles Auto Color: Enable auto color for all plotted percentiles.
Histogram Gradient: Enable the gradient color for the histogram.
Histogram Smoothing: Select the length of the EMA smoothing for the histogram or enable the Auto feature. The Auto feature uses an adaptive moving average with the data percent rank as the efficiency ratio.
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 highโlow 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 candleโs 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:
๐นWhat 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.
๐นConsolidation 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.
โ 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 candleโs highโlow 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, youโll 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.
โ 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, youโll 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 candlesโ 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.
โ 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 highโlow boundaries without breaking above or below the range, an internal counter advances.
Under the Visual Range section in the settings, youโll find the following control.
Min. Candles in Range
Defines how many consecutive candles must remain fully contained within the same highโlow range before a consolidation zone is confirmed. Once this requirement is met, the indicator creates a consolidation zone using the established range boundaries.
๐นConsolidation Zone Settings
โ 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 candleโs wick goes above/below the zone.
โ Merge Overlapping Zones
When enabled, overlapping Consolidation Zones are automatically combined into one unified zone.
โ 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.
๐นHow Volume Delta is Calculated
Delta Volume is calculated using lower-timeframe data and applied to the higher-timeframe consolidation zone.
Each candleโs 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 candleโs range and the zoneโs range.
Bullish and bearish volume are accumulated over time to form a running, cumulative delta profile for the zone.
๐นVolume Delta Settings
โ Enable
Turns the Delta Volume visualization on or off. Consolidation zones continue to plot when disabled.
โ Show Delta %
Displays the percentage breakdown of bullish versus bearish volume inside the consolidation zone. Percentages are derived from cumulative volume totals.
โ 3D Visual
When enabled, the delta blocks are extended diagonally using a depth offset derived from the instrumentโs 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 instrumentโs volatility.
โ 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
โ 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 candleโs overlap with the zoneโs price range. If the Timeframe field is left empty, the indicator defaults to using the chartโs 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 zoneโs height and is plotted symmetrically above and below the zone.
๐นHow the bands are calculated
Once a consolidation zone is finalized, the indicator calculates the zone height as:
Zone Height = Zone High โ Zone Low
This value becomes the base measurement for all deviation calculations. For each enabled band:
Upper bands are placed above the consolidation zoneโs high
Lower bands are placed below the consolidation zoneโs 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.
๐นStandard Deviation Band Settings
โ 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.
โ 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.
โ 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.
โ 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.
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.
ORB Fusion๐ฏ CORE INNOVATION: INSTITUTIONAL ORB FRAMEWORK WITH FAILED BREAKOUT INTELLIGENCE
ORB Fusion represents a complete institutional-grade Opening Range Breakout system combining classic Market Profile concepts (Initial Balance, day type classification) with modern algorithmic breakout detection, failed breakout reversal logic, and comprehensive statistical tracking. Rather than simply drawing lines at opening range extremes, this system implements the full trading methodology used by professional floor traders and market makersโincluding the critical concept that failed breakouts are often higher-probability setups than successful breakouts .
The Opening Range Hypothesis:
The first 30-60 minutes of trading establishes the day's value area โthe price range where the majority of participants agree on fair value. This range is formed during peak information flow (overnight news digestion, gap reactions, early institutional positioning). Breakouts from this range signal directional conviction; failures to hold breakouts signal trapped participants and create exploitable reversals.
Why Opening Range Matters:
1. Information Aggregation : Opening range reflects overnight news, pre-market sentiment, and early institutional orders. It's the market's initial "consensus" on value.
2. Liquidity Concentration : Stop losses cluster just outside opening range. Breakouts trigger these stops, creating momentum. Failed breakouts trap traders, forcing reversals.
3. Statistical Persistence : Markets exhibit range expansion tendency โwhen price accepts above/below opening range with volume, it often extends 1.0-2.0x the opening range size before mean reversion.
4. Institutional Behavior : Large players (market makers, institutions) use opening range as reference for the day's trading plan. They fade extremes in rotation days and follow breakouts in trend days.
Historical Context:
Opening Range Breakout methodology originated in commodity futures pits (1970s-80s) where floor traders noticed consistent patterns: the first 30-60 minutes established a "fair value zone," and directional moves occurred when this zone was violated with conviction. J. Peter Steidlmayer formalized this observation in Market Profile theory, introducing the "Initial Balance" conceptโthe first hour (two 30-minute periods) defining market structure.
๐ OPENING RANGE CONSTRUCTION
Four ORB Timeframe Options:
1. 5-Minute ORB (0930-0935 ET):
Captures immediate market direction during "opening drive"โthe explosive first few minutes when overnight orders hit the tape.
Use Case:
โข Scalping strategies
โข High-frequency breakout trading
โข Extremely liquid instruments (ES, NQ, SPY)
Characteristics:
โข Very tight range (often 0.2-0.5% of price)
โข Early breakouts common (7 of 10 days break within first hour)
โข Higher false breakout rate (50-60%)
โข Requires sub-minute chart monitoring
Psychology: Captures panic buyers/sellers reacting to overnight news. Range is small because sample size is minimalโonly 5 minutes of price discovery. Early breakouts often fail because they're driven by retail FOMO rather than institutional conviction.
2. 15-Minute ORB (0930-0945 ET):
Balances responsiveness with statistical validity. Captures opening drive plus initial reaction to that drive.
Use Case:
โข Day trading strategies
โข Balanced scalping/swing hybrid
โข Most liquid instruments
Characteristics:
โข Moderate range (0.4-0.8% of price typically)
โข Breakout rate ~60% of days
โข False breakout rate ~40-45%
โข Good balance of opportunity and reliability
Psychology: Includes opening panic AND the first retest/consolidation. Sophisticated traders (institutions, algos) start expressing directional bias. This is the "Goldilocks" timeframeโnot too reactive, not too slow.
3. 30-Minute ORB (0930-1000 ET):
Classic ORB timeframe. Default for most professional implementations.
Use Case:
โข Standard intraday trading
โข Position sizing for full-day trades
โข All liquid instruments (equities, indices, futures)
Characteristics:
โข Substantial range (0.6-1.2% of price)
โข Breakout rate ~55% of days
โข False breakout rate ~35-40%
โข Statistical sweet spot for extensions
Psychology: Full opening auction + first institutional repositioning complete. By 10:00 AM ET, headlines are digested, early stops are hit, and "real" directional players reveal themselves. This is when institutional programs typically finish their opening positioning.
Statistical Advantage: 30-minute ORB shows highest correlation with daily range. When price breaks and holds outside 30m ORB, probability of reaching 1.0x extension (doubling the opening range) exceeds 60% historically.
4. 60-Minute ORB (0930-1030 ET) - Initial Balance:
Steidlmayer's "Initial Balance"โthe foundation of Market Profile theory.
Use Case:
โข Swing trading entries
โข Day type classification
โข Low-frequency institutional setups
Characteristics:
โข Wide range (0.8-1.5% of price)
โข Breakout rate ~45% of days
โข False breakout rate ~25-30% (lowest)
โข Best for trend day identification
Psychology: Full first hour captures A-period (0930-1000) and B-period (1000-1030). By 10:30 AM ET, all early positioning is complete. Market has "voted" on value. Subsequent price action confirms (trend day) or rejects (rotation day) this value assessment.
Initial Balance Theory:
IB represents the market's accepted value area . When price extends significantly beyond IB (>1.5x IB range), it signals a Trend Day โstrong directional conviction. When price remains within 1.0x IB, it signals a Rotation Day โmean reversion environment. This classification completely changes trading strategy.
๐ฌ LTF PRECISION TECHNOLOGY
The Chart Timeframe Problem:
Traditional ORB indicators calculate range using the chart's current timeframe. This creates critical inaccuracies:
Example:
โข You're on a 5-minute chart
โข ORB period is 30 minutes (0930-1000 ET)
โข Indicator sees only 6 bars (30min รท 5min/bar = 6 bars)
โข If any 5-minute bar has extreme wick, entire ORB is distorted
The Problem Amplifies:
โข On 15-minute chart with 30-minute ORB: Only 2 bars sampled
โข On 30-minute chart with 30-minute ORB: Only 1 bar sampled
โข Opening spike or single large wick defines entire range (invalid)
Solution: Lower Timeframe (LTF) Precision:
ORB Fusion uses `request.security_lower_tf()` to sample 1-minute bars regardless of chart timeframe:
```
For 30-minute ORB on 15-minute chart:
- Traditional method: Uses 2 bars (15min ร 2 = 30min)
- LTF Precision: Requests thirty 1-minute bars, calculates true high/low
```
Why This Matters:
Scenario: ES futures, 15-minute chart, 30-minute ORB
โข Traditional ORB: High = 5850.00, Low = 5842.00 (range = 8 points)
โข LTF Precision ORB: High = 5848.50, Low = 5843.25 (range = 5.25 points)
Difference: 2.75 points distortion from single 15-minute wick hitting 5850.00 at 9:31 AM then immediately reversing. LTF precision filters this out by seeing it was a fleeting wick, not a sustained high.
Impact on Extensions:
With inflated range (8 points vs 5.25 points):
โข 1.5x extension projects +12 points instead of +7.875 points
โข Difference: 4.125 points (nearly $200 per ES contract)
โข Breakout signals trigger late; extension targets unreachable
Implementation:
```pinescript
getLtfHighLow() =>
float ha = request.security_lower_tf(syminfo.tickerid, "1", high)
float la = request.security_lower_tf(syminfo.tickerid, "1", low)
```
Function returns arrays of 1-minute high/low values, then finds true maximum and minimum across all samples.
When LTF Precision Activates:
Only when chart timeframe exceeds ORB session window:
โข 5-minute chart + 30-minute ORB: LTF used (chart TF > session bars needed)
โข 1-minute chart + 30-minute ORB: LTF not needed (direct sampling sufficient)
Recommendation: Always enable LTF Precision unless you're on 1-minute charts. The computational overhead is negligible, and accuracy improvement is substantial.
โ๏ธ INITIAL BALANCE (IB) FRAMEWORK
Steidlmayer's Market Profile Innovation:
J. Peter Steidlmayer developed Market Profile in the 1980s for the Chicago Board of Trade. His key insight: market structure is best understood through time-at-price (value area) rather than just price-over-time (traditional charts).
Initial Balance Definition:
IB is the price range established during the first hour of trading, subdivided into:
โข A-Period : First 30 minutes (0930-1000 ET for US equities)
โข B-Period : Second 30 minutes (1000-1030 ET)
A-Period vs B-Period Comparison:
The relationship between A and B periods forecasts the day:
B-Period Expansion (Bullish):
โข B-period high > A-period high
โข B-period low โฅ A-period low
โข Interpretation: Buyers stepping in after opening assessed
โข Implication: Bullish continuation likely
โข Strategy: Buy pullbacks to A-period high (now support)
B-Period Expansion (Bearish):
โข B-period low < A-period low
โข B-period high โค A-period high
โข Interpretation: Sellers stepping in after opening assessed
โข Implication: Bearish continuation likely
โข Strategy: Sell rallies to A-period low (now resistance)
B-Period Contraction:
โข B-period stays within A-period range
โข Interpretation: Market indecisive, digesting A-period information
โข Implication: Rotation day likely, stay range-bound
โข Strategy: Fade extremes, sell high/buy low within IB
IB Extensions:
Professional traders use IB as a ruler to project price targets:
Extension Levels:
โข 0.5x IB : Initial probe outside value (minor target)
โข 1.0x IB : Full extension (major target for normal days)
โข 1.5x IB : Trend day threshold (classifies as trending)
โข 2.0x IB : Strong trend day (rare, ~10-15% of days)
Calculation:
```
IB Range = IB High - IB Low
Bull Extension 1.0x = IB High + (IB Range ร 1.0)
Bear Extension 1.0x = IB Low - (IB Range ร 1.0)
```
Example:
ES futures:
โข IB High: 5850.00
โข IB Low: 5842.00
โข IB Range: 8.00 points
Extensions:
โข 1.0x Bull Target: 5850 + 8 = 5858.00
โข 1.5x Bull Target: 5850 + 12 = 5862.00
โข 2.0x Bull Target: 5850 + 16 = 5866.00
If price reaches 5862.00 (1.5x), day is classified as Trend Day โstrategy shifts from mean reversion to trend following.
๐ DAY TYPE CLASSIFICATION SYSTEM
Four Day Types (Market Profile Framework):
1. TREND DAY:
Definition: Price extends โฅ1.5x IB range in one direction and stays there.
Characteristics:
โข Opens and never returns to IB
โข Persistent directional movement
โข Volume increases as day progresses (conviction building)
โข News-driven or strong institutional flow
Frequency: ~20-25% of trading days
Trading Strategy:
โข DO: Follow the trend, trail stops, let winners run
โข DON'T: Fade extremes, take early profits
โข Key: Add to position on pullbacks to previous extension level
โข Risk: Getting chopped in false trend (see Failed Breakout section)
Example: FOMC decision, payroll report, earnings surpriseโanything creating one-sided conviction.
2. NORMAL DAY:
Definition: Price extends 0.5-1.5x IB, tests both sides, returns to IB.
Characteristics:
โข Two-sided trading
โข Extensions occur but don't persist
โข Volume balanced throughout day
โข Most common day type
Frequency: ~45-50% of trading days
Trading Strategy:
โข DO: Take profits at extension levels, expect reversals
โข DON'T: Hold for massive moves
โข Key: Treat each extension as a profit-taking opportunity
โข Risk: Holding too long when momentum shifts
Example: Typical day with no major catalystsโmarket balancing supply and demand.
3. ROTATION DAY:
Definition: Price stays within IB all day, rotating between high and low.
Characteristics:
โข Never accepts outside IB
โข Multiple tests of IB high/low
โข Decreasing volume (no conviction)
โข Classic range-bound action
Frequency: ~25-30% of trading days
Trading Strategy:
โข DO: Fade extremes (sell IB high, buy IB low)
โข DON'T: Chase breakouts
โข Key: Enter at extremes with tight stops just outside IB
โข Risk: Breakout finally occurs after multiple failures
Example: [/b> Pre-holiday trading, summer doldrums, consolidation after big move.
4. DEVELOPING:
Definition: Day type not yet determined (early in session).
Usage: Classification before 12:00 PM ET when IB extension pattern unclear.
ORB Fusion's Classification Algorithm:
```pinescript
if close > ibHigh:
ibExtension = (close - ibHigh) / ibRange
direction = "BULLISH"
else if close < ibLow:
ibExtension = (ibLow - close) / ibRange
direction = "BEARISH"
if ibExtension >= 1.5:
dayType = "TREND DAY"
else if ibExtension >= 0.5:
dayType = "NORMAL DAY"
else if close within IB:
dayType = "ROTATION DAY"
```
Why Classification Matters:
Same setup (bullish ORB breakout) has opposite implications:
โข Trend Day : Hold for 2.0x extension, trail stops aggressively
โข Normal Day : Take profits at 1.0x extension, watch for reversal
โข Rotation Day : Fade the breakout immediately (likely false)
Knowing day type prevents catastrophic errors like fading a trend day or holding through rotation.
๐ BREAKOUT DETECTION & CONFIRMATION
Three Confirmation Methods:
1. Close Beyond Level (Recommended):
Logic: Candle must close above ORB high (bull) or below ORB low (bear).
Why:
โข Filters out wicks (temporary liquidity grabs)
โข Ensures sustained acceptance above/below range
โข Reduces false breakout rate by ~20-30%
Example:
โข ORB High: 5850.00
โข Bar high touches 5850.50 (wick above)
โข Bar closes at 5848.00 (inside range)
โข Result: NO breakout signal
vs.
โข Bar high touches 5850.50
โข Bar closes at 5851.00 (outside range)
โข Result: BREAKOUT signal confirmed
Trade-off: Slightly delayed entry (wait for close) but much higher reliability.
2. Wick Beyond Level:
Logic: [/b> Any touch of ORB high/low triggers breakout.
Why:
โข Earliest possible entry
โข Captures aggressive momentum moves
Risk:
โข High false breakout rate (60-70%)
โข Stop runs trigger signals
โข Requires very tight stops (difficult to manage)
Use Case: Scalping with 1-2 point profit targets where any penetration = trade.
3. Body Beyond Level:
Logic: [/b> Candle body (close vs open) must be entirely outside range.
Why:
โข Strictest confirmation
โข Ensures directional conviction (not just momentum)
โข Lowest false breakout rate
Example: Trade-off: [/b> Very conservativeโmisses some valid breakouts but rarely triggers on false ones.
Volume Confirmation Layer:
All confirmation methods can require volume validation:
Volume Multiplier Logic: Rationale: [/b> True breakouts are driven by institutional activity (large size). Volume spike confirms real conviction vs. stop-run manipulation.
Statistical Impact: [/b>
โข Breakouts with volume confirmation: ~65% success rate
โข Breakouts without volume: ~45% success rate
โข Difference: 20 percentage points edge
Implementation Note: [/b>
Volume confirmation adds complexityโyou'll miss breakouts that work but lack volume. However, when targeting 1.5x+ extensions (ambitious goals), volume confirmation becomes critical because those moves require sustained institutional participation.
Recommended Settings by Strategy: [/b>
Scalping (1-2 point targets): [/b>
โข Method: Close
โข Volume: OFF
โข Rationale: Quick in/out doesn't need perfection
Intraday Swing (5-10 point targets): [/b>
โข Method: Close
โข Volume: ON (1.5x multiplier)
โข Rationale: Balance reliability and opportunity
Position Trading (full-day holds): [/b>
โข Method: Body
โข Volume: ON (2.0x multiplier)
โข Rationale: Must be certainโlarge stops require high win rate
๐ฅ FAILED BREAKOUT SYSTEM
The Core Insight: [/b>
Failed breakouts are often more profitable [/b> than successful breakouts because they create trapped traders with predictable behavior.
Failed Breakout Definition: [/b>
A breakout that:
1. Initially penetrates ORB level with confirmation
2. Attracts participants (volume spike, momentum)
3. Fails to extend (stalls or immediately reverses)
4. Returns inside ORB range within N bars
Psychology of Failure: [/b>
When breakout fails:
โข Breakout buyers are trapped [/b>: Bought at ORB high, now underwater
โข Early longs reduce: Take profit, fearful of reversal
โข Shorts smell blood: See failed breakout as reversal signal
โข Result: Cascade of selling as trapped bulls exit + new shorts enter
Mirror image for failed bearish breakouts (trapped shorts cover + new longs enter).
Failure Detection Parameters: [/b>
1. Failure Confirmation Bars (default: 3): [/b>
How many bars after breakout to confirm failure?
Logic: Settings: [/b>
โข 2 bars: Aggressive failure detection (more signals, more false failures)
โข 3 bars Balanced (default)
โข 5-10 bars: Conservative (wait for clear reversal)
Why This Matters:
Too few bars: You call "failed breakout" when price is just consolidating before next leg.
Too many bars: You miss the reversal entry (price already back in range).
2. Failure Buffer (default: 0.1 ATR): [/b>
How far inside ORB must price return to confirm failure?
Formula: Why Buffer Matters: clear rejection [/b> (not just hovering at level).
Settings: [/b>
โข 0.0 ATR: No buffer, immediate failure signal
โข 0.1 ATR: Small buffer (default) - filters noise
โข [b>0.2-0.3 ATR: Large buffer - only dramatic failures count
Example: Reversal Entry System: [/b>
When failure confirmed, system generates complete reversal trade:
For Failed Bull Breakout (Short Reversal): [/b>
Entry: [/b> Current close when failure confirmed
Stop Loss: [/b> Extreme high since breakout + 0.10 ATR padding
Target 1: [/b> ORB High - (ORB Range ร 0.5)
Target 2: Target 3: [/b> ORB High - (ORB Range ร 1.5)
Example:
โข ORB High: 5850, ORB Low: 5842, Range: 8 points
โข Breakout to 5853, fails, reverses to 5848 (entry)
โข Stop: 5853 + 1 = 5854 (6 point risk)
โข T1: 5850 - 4 = 5846 (-2 points, 1:3 R:R)
โข T2: 5850 - 8 = 5842 (-6 points, 1:1 R:R)
โข T3: 5850 - 12 = 5838 (-10 points, 1.67:1 R:R)
[b>Why These Targets? [/b>
โข T1 (0.5x ORB below high): Trapped bulls start panic
โข T2 (1.0x ORB = ORB Mid): Major retracement, momentum fully reversed
โข T3 (1.5x ORB): Reversal extended, now targeting opposite side
Historical Performance: [/b>
Failed breakout reversals in ORB Fusion's tracking system show:
โข Win Rate: 65-75% (significantly higher than initial breakouts)
โข Average Winner: 1.2x ORB range
โข Average Loser: 0.5x ORB range (protected by stop at extreme)
โข Expectancy: Strongly positive even with <70% win rate
Why Failed Breakouts Outperform: [/b>
1. Information Advantage: You now know what price did (failed to extend). Initial breakout trades are speculative; reversal trades are reactive to confirmed failure.
2. Trapped Participant Pressure: Every trapped bull becomes a seller. This creates sustained pressure.
3. Stop Loss Clarity: Extreme high is obvious stop (just beyond recent high). Breakout trades have ambiguous stops (ORB mid? Recent low? Too wide or too tight).
4. Mean Reversion Edge: Failed breakouts return to value (ORB mid). Initial breakouts try to escape value (harder to sustain).
Critical Insight: [/b>
"The best trade is often the one that trapped everyone else."
Failed breakouts create asymmetric opportunity because you're trading against [/b> trapped participants rather than with [/b> them. When you see a failed breakout signal, you're seeing real-time evidence that the market rejected directional convictionโthat's exploitable.
๐ FIBONACCI EXTENSION SYSTEM
Six Extension Levels: [/b>
Extensions project how far price will travel after ORB breakout. Based on Fibonacci ratios + empirical market behavior.
1. 1.272x (27.2% Extension): [/b>
Formula: [/b> ORB High/Low + (ORB Range ร 0.272)
Psychology: [/b> Initial probe beyond ORB. Early momentum + trapped shorts (on bull side) covering.
Probability of Reach: [/b> ~75-80% after confirmed breakout
Trading: [/b>
โข First resistance/support after breakout
โข Partial profit target (take 30-50% off)
โข Watch for rejection here (could signal failure in progress)
Why 1.272? [/b> Related to harmonic patterns (1.272 is โ1.618). Empirically, markets often stall at 25-30% extension before deciding whether to continue or fail.
2. 1.5x (50% Extension):
Formula: [/b> ORB High/Low + (ORB Range ร 0.5)
Psychology: [/b> Breakout gaining conviction. Requires sustained buying/selling (not just momentum spike).
Probability of Reach: [/b> ~60-65% after confirmed breakout
Trading: [/b>
โข Major partial profit (take 50-70% off)
โข Move stops to breakeven
โข Trail remaining position
Why 1.5x? [/b> Classic halfway point to 2.0x. Markets often consolidate here before final push. If day type is "Normal," this is likely the high/low for the day.
3. 1.618x (Golden Ratio Extension): [/b>
Formula: [/b> ORB High/Low + (ORB Range ร 0.618)
Psychology: [/b> Strong directional day. Institutional conviction + retail FOMO.
Probability of Reach: [/b> ~45-50% after confirmed breakout
Trading: [/b>
โข Final partial profit (close 80-90%)
โข Trail remainder with wide stop (allow breathing room)
Why 1.618? [/b> Fibonacci golden ratio. Appears consistently in market geometry. When price reaches 1.618x extension, move is "mature" and reversal risk increases.
4. 2.0x (100% Extension): [/b>
Formula: ORB High/Low + (ORB Range ร 1.0)
Psychology: [/b> Trend day confirmed. Opening range completely duplicated.
Probability of Reach: [/b> ~30-35% after confirmed breakout
Trading: Why 2.0x? [/b> Psychological levelโrange doubled. Also corresponds to typical daily ATR in many instruments (opening range ~ 0.5 ATR, daily range ~ 1.0 ATR).
5. 2.618x (Super Extension):
Formula: [/b> ORB High/Low + (ORB Range ร 1.618)
Psychology: [/b> Parabolic move. News-driven or squeeze.
Probability of Reach: [/b> ~10-15% after confirmed breakout
[b>Trading: Why 2.618? [/b> Fibonacci ratio (1.618ยฒ). Rare to reachโwhen it does, move is extreme. Often precedes multi-day consolidation or reversal.
6. 3.0x (Extreme Extension): [/b>
Formula: [/b> ORB High/Low + (ORB Range ร 2.0)
Psychology: [/b> Market melt-up/crash. Only in extreme events.
[b>Probability of Reach: [/b> <5% after confirmed breakout
Trading: [/b>
โข Close immediately if reached
โข These are outlier events (black swans, flash crashes, squeeze-outs)
โข Holding for more is greedโtake windfall profit
Why 3.0x? [/b> Triple opening range. So rare it's statistical noise. When it happens, it's headline news.
Visual Example:
ES futures, ORB 5842-5850 (8 point range), Bullish breakout:
โข ORB High : 5850.00 (entry zone)
โข 1.272x : 5850 + 2.18 = 5852.18 (first resistance)
โข 1.5x : 5850 + 4.00 = 5854.00 (major target)
โข 1.618x : 5850 + 4.94 = 5854.94 (strong target)
โข 2.0x : 5850 + 8.00 = 5858.00 (trend day)
โข 2.618x : 5850 + 12.94 = 5862.94 (extreme)
โข 3.0x : 5850 + 16.00 = 5866.00 (parabolic)
Profit-Taking Strategy:
Optimal scaling out at extensions:
โข Breakout entry at 5850.50
โข 30% off at 1.272x (5852.18) โ +1.68 points
โข 40% off at 1.5x (5854.00) โ +3.50 points
โข 20% off at 1.618x (5854.94) โ +4.44 points
โข 10% off at 2.0x (5858.00) โ +7.50 points
[b>Average Exit: Conclusion: [/b> Scaling out at extensions produces 40% higher expectancy than holding for home runs.
๐ GAP ANALYSIS & FILL PSYCHOLOGY
[b>Gap Definition: [/b>
Price discontinuity between previous close and current open:
โข Gap Up : Open > Previous Close + noise threshold (0.1 ATR)
โข Gap Down : Open < Previous Close - noise threshold
Why Gaps Matter: [/b>
Gaps represent unfilled orders [/b>. When market gaps up, all limit buy orders between yesterday's close and today's open are never filled. Those buyers are "left behind." Psychology: they wait for price to return ("fill the gap") so they can enter. This creates magnetic pull [/b> toward gap level.
Gap Fill Statistics (Empirical): [/b>
โข Gaps <0.5% [/b>: 85-90% fill within same day
โข Gaps 0.5-1.0% [/b>: 70-75% fill within same day, 90%+ within week
โข Gaps >1.0% [/b>: 50-60% fill within same day (major news often prevents fill)
Gap Fill Strategy: [/b>
Setup 1: Gap-and-Go
Gap opens, extends away from gap (doesn't fill).
โข ORB confirms direction away from gap
โข Trade WITH ORB breakout direction
โข Expectation: Gap won't fill today (momentum too strong)
Setup 2: Gap-Fill Fade
Gap opens, but fails to extend. Price drifts back toward gap.
โข ORB breakout TOWARD gap (not away)
โข Trade toward gap fill level
โข Target: Previous close (gap fill complete)
Setup 3: Gap-Fill Rejection
Gap fills (touches previous close) then rejects.
โข ORB breakout AWAY from gap after fill
โข Trade away from gap direction
โข Thesis: Gap filled (orders executed), now resume original direction
[b>Example: Scenario A (Gap-and-Go):
โข ORB breaks upward to $454 (away from gap)
โข Trade: LONG breakout, expect continued rally
โข Gap becomes support ($452)
Scenario B (Gap-Fill):
โข ORB breaks downward through $452.50 (toward gap)
โข Trade: SHORT toward gap fill at $450.00
โข Target: $450.00 (gap filled), close position
Scenario C (Gap-Fill Rejection):
โข Price drifts to $450.00 (gap filled) early in session
โข ORB establishes $450-$451 after gap fill
โข ORB breaks upward to $451.50
โข Trade: LONG breakout (gap is filled, now resume rally)
ORB Fusion Integration: [/b>
Dashboard shows:
โข Gap type (Up/Down/None)
โข Gap size (percentage)
โข Gap fill status (Filled โ / Open)
This informs setup confidence:
โข ORB breakout AWAY from unfilled gap: +10% confidence (gap becomes support/resistance)
โข ORB breakout TOWARD unfilled gap: -10% confidence (gap fill may override ORB)
[b>๐ VWAP & INSTITUTIONAL BIAS [/b>
[b>Volume-Weighted Average Price (VWAP): [/b>
Average price weighted by volume at each price level. Represents true "average" cost for the day.
[b>Calculation: Institutional Benchmark [/b>: Institutions (mutual funds, pension funds) use VWAP as performance benchmark. If they buy above VWAP, they underperformed; below VWAP, they outperformed.
2. [b>Algorithmic Target [/b>: Many algos are programmed to buy below VWAP and sell above VWAP to achieve "fair" execution.
3. [b>Support/Resistance [/b>: VWAP acts as dynamic support (price above) or resistance (price below).
[b>VWAP Bands (Standard Deviations): [/b>
โข [b>1ฯ Band [/b>: VWAP ยฑ 1 standard deviation
- Contains ~68% of volume
- Normal trading range
- Bounces common
โข [b>2ฯ Band [/b>: VWAP ยฑ 2 standard deviations
- Contains ~95% of volume
- Extreme extension
- Mean reversion likely
ORB + VWAP Confluence: [/b>
Highest-probability setups occur when ORB and VWAP align:
Bullish Confluence: [/b>
โข ORB breakout upward (bullish signal)
โข Price above VWAP (institutional buying)
โข Confidence boost: +15%
Bearish Confluence: [/b>
โข ORB breakout downward (bearish signal)
โข Price below VWAP (institutional selling)
โข Confidence boost: +15%
[b>Divergence Warning:
โข ORB breakout upward BUT price below VWAP
โข Conflict: Breakout says "buy," VWAP says "sell"
โข Confidence penalty: -10%
โข Interpretation: Retail buying but institutions not participating (lower quality breakout)
๐ MOMENTUM CONTEXT SYSTEM
[b>Innovation: Candle Coloring by Position
Rather than fixed support/resistance lines, ORB Fusion colors candles based on their [b>relationship to ORB :
[b>Three Zones: [/b>
1. Inside ORB (Blue Boxes): [/b>
[b>Calculation:
โข Darker blue: Near extremes of ORB (potential breakout imminent)
โข Lighter blue: Near ORB mid (consolidation)
[b>Trading: [/b> Coiled springโawait breakout.
[b>2. Above ORB (Green Boxes):
[b>Calculation: 3. Below ORB (Red Boxes):
Mirror of above ORB logic.
[b>Special Contexts: [/b>
[b>Breakout Bar (Darkest Green/Red): [/b>
The specific bar where breakout occurs gets maximum color intensity regardless of distance. This highlights the pivotal moment.
[b>Failed Breakout Bar (Orange/Warning): [/b>
When failed breakout is confirmed, that bar gets orange/warning color. Visual alert: "reversal opportunity here."
[b>Near Extension (Cyan/Magenta Tint): [/b>
When price is within 0.5 ATR of an extension level, candle gets tinted cyan (bull) or magenta (bear). Indicates "target approachingโprepare to take profit."
[b>Why Visual Context? [/b>
Traditional indicators show lines. ORB Fusion shows [b>context-aware momentum [/b>. Glance at chart:
โข Lots of blue? Consolidation day (fade extremes).
โข Progressive green? Trend day (follow).
โข Green then orange? Failed breakout (reversal setup).
This visual language communicates market state instantlyโno interpretation needed.
๐ฏ TRADE SETUP GENERATION & GRADING [/b>
[b>Algorithmic Setup Detection: [/b>
ORB Fusion continuously evaluates market state and generates current best trade setup with:
โข Action (LONG / SHORT / FADE HIGH / FADE LOW / WAIT)
โข Entry price
โข Stop loss
โข Three targets
โข Risk:Reward ratio
โข Confidence score (0-100)
โข Grade (A+ to D)
[b>Setup Types: [/b>
[b>1. ORB LONG (Bullish Breakout): [/b>
[b>Trigger: [/b>
โข Bullish ORB breakout confirmed
โข Not failed
[b>Parameters:
โข Entry: Current close
โข Stop: ORB mid (protects against failure)
โข T1: ORB High + 0.5x range (1.5x extension)
โข T2: ORB High + 1.0x range (2.0x extension)
โข T3: ORB High + 1.618x range (2.618x extension)
[b>Confidence Scoring:
[b>Trigger: [/b>
โข Bearish breakout occurred
โข Failed (returned inside ORB)
[b>Parameters: [/b>
โข Entry: Close when failure confirmed
โข Stop: Extreme low since breakout + 0.10 ATR
โข T1: ORB Low + 0.5x range
โข T2: ORB Low + 1.0x range (ORB mid)
โข T3: ORB Low + 1.5x range
[b>Confidence Scoring:
[b>Trigger:
โข Inside ORB
โข Close > ORB mid (near high)
[b>Parameters: [/b>
โข Entry: ORB High (limit order)
โข Stop: ORB High + 0.2x range
โข T1: ORB Mid
โข T2: ORB Low
[b>Confidence Scoring: [/b>
Base: 40 points (lower baseโrange fading is lower probability than breakout/reversal)
[b>Use Case: [/b> Rotation days. Not recommended on normal/trend days.
[b>6. FADE LOW (Range Trade):
Mirror of FADE HIGH.
[b>7. WAIT:
[b>Trigger: [/b>
โข ORB not complete yet OR
โข No clear setup (price in no-man's-land)
[b>Action: [/b> Observe, don't trade.
[b>Confidence: [/b> 0 points
[b>Grading System:
```
Confidence โ Grade
85-100 โ A+
75-84 โ A
65-74 โ B+
55-64 โ B
45-54 โ C
0-44 โ D
```
[b>Grade Interpretation: [/b>
โข [b>A+ / A: High probability setup. Take these trades.
โข [b>B+ / B [/b>: Decent setup. Trade if fits system rules.
โข [b>C [/b>: Marginal setup. Only if very experienced.
โข [b>D [/b>: Poor setup or no setup. Don't trade.
[b>Example Scenario: [/b>
ES futures:
โข ORB: 5842-5850 (8 point range)
โข Bullish breakout to 5851 confirmed
โข Volume: 2.0x average (confirmed)
โข VWAP: 5845 (price above VWAP โ)
โข Day type: Developing (too early, no bonus)
โข Gap: None
[b>Setup: [/b>
โข Action: LONG
โข Entry: 5851
โข Stop: 5846 (ORB mid, -5 point risk)
โข T1: 5854 (+3 points, 1:0.6 R:R)
โข T2: 5858 (+7 points, 1:1.4 R:R)
โข T3: 5862.94 (+11.94 points, 1:2.4 R:R)
[b>Confidence: LONG with 55% confidence.
Interpretation: Solid setup, not perfect. Trade it if your system allows B-grade signals.
[b>๐ STATISTICS TRACKING & PERFORMANCE ANALYSIS [/b>
[b>Real-Time Performance Metrics: [/b>
ORB Fusion tracks comprehensive statistics over user-defined lookback (default 50 days):
[b>Breakout Performance: [/b>
โข [b>Bull Breakouts: [/b> Total count, wins, losses, win rate
โข [b>Bear Breakouts: [/b> Total count, wins, losses, win rate
[b>Win Definition: [/b> Breakout reaches โฅ1.0x extension (doubles the opening range) before end of day.
[b>Example: [/b>
โข ORB: 5842-5850 (8 points)
โข Bull breakout at 5851
โข Reaches 5858 (1.0x extension) by close
โข Result: WIN
[b>Failed Breakout Performance: [/b>
โข [b>Total Failed Breakouts [/b>: Count of breakouts that failed
โข [b>Reversal Wins [/b>: Count where reversal trade reached target
โข [b>Failed Reversal Win Rate [/b>: Wins / Total Failed
[b>Win Definition for Reversals: [/b>
โข Failed bull โ reversal short reaches ORB mid
โข Failed bear โ reversal long reaches ORB mid
[b>Extension Tracking: [/b>
โข [b>Average Extension Reached [/b>: Mean of maximum extension achieved across all breakout days
โข [b>Max Extension Overall [/b>: Largest extension ever achieved in lookback period
[b>Example: ๐จ THREE DISPLAY MODES
[b>Design Philosophy: [/b>
Not all traders need all features. Beginners want simplicity. Professionals want everything. ORB Fusion adapts.
[b>SIMPLE MODE: [/b>
[b>Shows: [/b>
โข Primary ORB levels (High, Mid, Low)
โข ORB box
โข Breakout signals (triangles)
โข Failed breakout signals (crosses)
โข Basic dashboard (ORB status, breakout status, setup)
โข VWAP
[b>Hides: [/b>
โข Session ORBs (Asian, London, NY)
โข IB levels and extensions
โข ORB extensions beyond basic levels
โข Gap analysis visuals
โข Statistics dashboard
โข Momentum candle coloring
โข Narrative dashboard
[b>Use Case: [/b>
โข Traders who want clean chart
โข Focus on core ORB concept only
โข Mobile trading (less screen space)
[b>STANDARD MODE:
[b>Shows Everything in Simple Plus: [/b>
โข Session ORBs (Asian, London, NY)
โข IB levels (high, low, mid)
โข IB extensions
โข ORB extensions (1.272x, 1.5x, 1.618x, 2.0x)
โข Gap analysis and fill targets
โข VWAP bands (1ฯ and 2ฯ)
โข Momentum candle coloring
โข Context section in dashboard
โข Narrative dashboard
[b>Hides: [/b>
โข Advanced extensions (2.618x, 3.0x)
โข Detailed statistics dashboard
[b>Use Case: [/b>
โข Most traders
โข Balance between information and clarity
โข Covers 90% of use cases
[b>ADVANCED MODE:
[b>Shows Everything:
โข All session ORBs
โข All IB levels and extensions
โข All ORB extensions (including 2.618x and 3.0x)
โข Full gap analysis
โข VWAP with both 1ฯ and 2ฯ bands
โข Momentum candle coloring
โข Complete statistics dashboard
โข Narrative dashboard
โข All context metrics
[b>Use Case: [/b>
โข Professional traders
โข System developers
โข Those who want maximum information density
[b>Switching Modes: [/b>
Single dropdown input: "Display Mode" โ Simple / Standard / Advanced
Entire indicator adapts instantly. No need to toggle 20 individual settings.
๐ NARRATIVE DASHBOARD
[b>Innovation: Plain-English Market State [/b>
Most indicators show data. ORB Fusion explains what the data [b>means [/b>.
[b>Narrative Components: [/b>
[b>1. Phase: [/b>
โข "๐ Building ORB..." (during ORB session)
โข "๐ Trading Phase" (after ORB complete)
โข "โณ Pre-Market" (before ORB session)
[b>2. Status (Current Observation): [/b>
โข "โ ๏ธ Failed breakout - reversal likely"
โข "๐ Bullish momentum in play"
โข "๐ Bearish momentum in play"
โข "โ๏ธ Consolidating in range"
โข "๐ Monitoring for setup"
[b>3. Next Level:
Tells you what to watch for:
โข "๐ฏ 1.5x @ 5854.00" (next extension target)
โข "Watch ORB levels" (inside range, await breakout)
[b>4. Setup: [/b>
Current trade setup + grade:
โข "LONG " (bullish breakout, A-grade)
โข "๐ฅ SHORT REVERSAL " (failed bull breakout, A+-grade)
โข "WAIT " (no setup)
[b>5. Reason: [/b>
Why this setup exists:
โข "ORB Bullish Breakout"
โข "Failed Bear Breakout - High Probability Reversal"
โข "Range Fade - Near High"
[b>6. Tip (Market Insight):
Contextual advice:
โข "๐ฅ TREND DAY - Trail stops" (day type is trending)
โข "๐ ROTATION - Fade extremes" (day type is rotating)
โข "๐ Gap unfilled - magnet level" (gap creates target)
โข "๐ Normal conditions" (no special context)
[b>Example Narrative:
```
๐ ORB Narrative
โโโโโโโโโโโโโโโโ
Phase | ๐ Trading Phase
Status | ๐ Bullish momentum in play
Next | ๐ฏ 1.5x @ 5854.00
๐ Setup | LONG
Reason | ORB Bullish Breakout
๐ก Tip | ๐ฅ TREND DAY - Trail stops
```
[b>Glance Interpretation: [/b>
"We're in trading phase. Bullish breakout happened (momentum in play). Next target is 1.5x extension at 5854. Current setup is LONG with A-grade. It's a trend day, so trail stops (don't take early profits)."
Complete market state communicated in 6 lines. No interpretation needed.
[b>Why This Matters:
Beginner traders struggle with "So what?" question. Indicators show lines and signals, but what does it mean [/b>? Narrative dashboard bridges this gap.
Professional traders benefit tooโrapid context assessment during fast-moving markets. No time to analyze; glance at narrative, get action plan.
๐ INTELLIGENT ALERT SYSTEM
[b>Four Alert Types: [/b>
[b>1. Breakout Alert: [/b>
[b>Trigger: [/b> ORB breakout confirmed (bull or bear)
[b>Message: [/b>
```
๐ ORB BULLISH BREAKOUT
Price: 5851.00
Volume Confirmed
Grade: A
```
[b>Frequency: [/b> Once per bar (prevents spam)
[b>2. Failed Breakout Alert: [/b>
[b>Trigger: [/b> Breakout fails, reversal setup generated
[b>Message: [/b>
```
๐ฅ FAILED BULLISH BREAKOUT!
HIGH PROBABILITY SHORT REVERSAL
Entry: 5848.00
Stop: 5854.00
T1: 5846.00
T2: 5842.00
Historical Win Rate: 73%
```
[b>Why Comprehensive? [/b> Failed breakout alerts include complete trade plan. You can execute immediately from alertโno need to check chart.
[b>3. Extension Alert:
[b>Trigger: [/b> Price reaches extension level for first time
[b>Message: [/b>
```
๐ฏ Bull Extension 1.5x reached @ 5854.00
```
[b>Use: [/b> Profit-taking reminder. When extension hit, consider scaling out.
[b>4. IB Break Alert: [/b>
[b>Trigger: [/b> Price breaks above IB high or below IB low
[b>Message: [/b>
```
๐ IB HIGH BROKEN - Potential Trend Day
```
[b>Use: [/b> Day type classification. IB break suggests trend day developingโadjust strategy to trend-following mode.
[b>Alert Management: [/b>
Each alert type can be enabled/disabled independently. Prevents notification overload.
[b>Cooldown Logic: [/b>
Alerts won't fire if same alert type triggered within last bar. Prevents:
โข "Breakout" alert every tick during choppy breakout
โข Multiple "extension" alerts if price oscillates at level
Ensures: One clean alert per event.
โ๏ธ KEY PARAMETERS EXPLAINED
[b>Opening Range Settings: [/b>
โข [b>ORB Timeframe [/b> (5/15/30/60 min): Duration of opening range window
- 30 min recommended for most traders
โข [b>Use RTH Only [/b> (ON/OFF): Only trade during regular trading hours
- ON recommended (avoids thin overnight markets)
โข [b>Use LTF Precision [/b> (ON/OFF): Sample 1-minute bars for accuracy
- ON recommended (critical for charts >1 minute)
โข [b>Precision TF [/b> (1/5 min): Timeframe for LTF sampling
- 1 min recommended (most accurate)
[b>Session ORBs: [/b>
โข [b>Show Asian/London/NY ORB [/b> (ON/OFF): Display multi-session ranges
- OFF in Simple mode
- ON in Standard/Advanced if trading 24hr markets
โข [b>Session Windows [/b>: Time ranges for each session ORB
- Defaults align with major session opens
[b>Initial Balance: [/b>
โข [b>Show IB [/b> (ON/OFF): Display Initial Balance levels
- ON recommended for day type classification
โข [b>IB Session Window [/b> (0930-1030): First hour of trading
- Default is standard for US equities
โข [b>Show IB Extensions [/b> (ON/OFF): Project IB extension targets
- ON recommended (identifies trend days)
โข [b>IB Extensions 1-4 [/b> (0.5x, 1.0x, 1.5x, 2.0x): Extension multipliers
- Defaults are Market Profile standard
[b>ORB Extensions: [/b>
โข [b>Show Extensions [/b> (ON/OFF): Project ORB extension targets
- ON recommended (defines profit targets)
โข [b>Enable Individual Extensions [/b> (1.272x, 1.5x, 1.618x, 2.0x, 2.618x, 3.0x)
- Enable 1.272x, 1.5x, 1.618x, 2.0x minimum
- Disable 2.618x and 3.0x unless trading very volatile instruments
[b>Breakout Detection:
โข [b>Confirmation Method [/b> (Close/Wick/Body):
- Close recommended (best balance)
- Wick for scalping
- Body for conservative
โข [b>Require Volume Confirmation [/b> (ON/OFF):
- ON recommended (increases reliability)
โข [b>Volume Multiplier [/b> (1.0-3.0):
- 1.5x recommended
- Lower for thin instruments
- Higher for heavy volume instruments
[b>Failed Breakout System: [/b>
โข [b>Enable Failed Breakouts [/b> (ON/OFF):
- ON strongly recommended (highest edge)
โข [b>Bars to Confirm Failure [/b> (2-10):
- 3 bars recommended
- 2 for aggressive (more signals, more false failures)
- 5+ for conservative (fewer signals, higher quality)
โข [b>Failure Buffer [/b> (0.0-0.5 ATR):
- 0.1 ATR recommended
- Filters noise during consolidation near ORB level
โข [b>Show Reversal Targets [/b> (ON/OFF):
- ON recommended (visualizes trade plan)
โข [b>Reversal Target Mults [/b> (0.5x, 1.0x, 1.5x):
- Defaults are tested values
- Adjust based on average daily range
[b>Gap Analysis:
โข [b>Show Gap Analysis [/b> (ON/OFF):
- ON if trading instruments that gap frequently
- OFF for 24hr markets (forex, cryptoโno gaps)
โข [b>Gap Fill Target [/b> (ON/OFF):
- ON to visualize previous close (gap fill level)
[b>VWAP:
โข [b>Show VWAP [/b> (ON/OFF):
- ON recommended (key institutional level)
โข [b>Show VWAP Bands [/b> (ON/OFF):
- ON in Standard/Advanced
- OFF in Simple
โข [b>Band Multipliers (1.0ฯ, 2.0ฯ):
- Defaults are standard
- 1ฯ = normal range, 2ฯ = extreme
[b>Day Type: [/b>
โข [b>Show Day Type Analysis [/b> (ON/OFF):
- ON recommended (critical for strategy adaptation)
โข [b>Trend Day Threshold [/b> (1.0-2.5 IB mult):
- 1.5x recommended
- When price extends >1.5x IB, classifies as Trend Day
[b>Enhanced Visuals:
โข [b>Show Momentum Candles [/b> (ON/OFF):
- ON for visual context
- OFF if chart gets too colorful
โข [b>Show Gradient Zone Fills [/b> (ON/OFF):
- ON for professional look
- OFF for minimalist chart
โข [b>Label Display Mode [/b> (All/Adaptive/Minimal):
- Adaptive recommended (shows nearby labels only)
- All for information density
- Minimal for clean chart
โข [b>Label Proximity [/b> (1.0-5.0 ATR):
- 3.0 ATR recommended
- Labels beyond this distance are hidden (Adaptive mode)
[b>๐ PROFESSIONAL USAGE PROTOCOL [/b>
[b>Phase 1: Learning the System (Week 1) [/b>
[b>Goal: [/b> Understand ORB concepts and dashboard interpretation
[b>Setup: [/b>
โข Display Mode: STANDARD
โข ORB Timeframe: 30 minutes
โข Enable ALL features (IB, extensions, failed breakouts, VWAP, gap analysis)
โข Enable statistics tracking
[b>Actions: [/b>
โข Paper trade ONLYโno real money
โข Observe ORB formation every day (9:30-10:00 AM ET for US markets)
โข Note when ORB breakouts occur and if they extend
โข Note when breakouts fail and reversals happen
โข Watch day type classification evolve during session
โข Track statisticsโwhich setups are working?
[b>Key Learning: [/b>
โข How often do breakouts reach 1.5x extension? (typically 50-60% of confirmed breakouts)
โข How often do breakouts fail? (typically 30-40%)
โข Which setup grade (A/B/C) actually performs best? (should see A-grade outperforming)
โข What day type produces best results? (trend days favor breakouts, rotation days favor fades)
[b>Phase 2: Parameter Optimization (Week 2) [/b>
[b>Goal: [/b> Tune system to your instrument and timeframe
[b>ORB Timeframe Selection:
โข Run 5 days with 15-minute ORB
โข Run 5 days with 30-minute ORB
โข Compare: Which captures better breakouts on your instrument?
โข Typically: 30-minute optimal for most, 15-minute for very liquid (ES, SPY)
[b>Volume Confirmation Testing:
โข Run 5 days WITH volume confirmation
โข Run 5 days WITHOUT volume confirmation
โข Compare: Does volume confirmation increase win rate?
โข If win rate improves by >5%: Keep volume confirmation ON
โข If no improvement: Turn OFF (avoid missing valid breakouts)
[b>Failed Breakout Bars:
[b>Goal: [/b> Develop personal trading rules based on system signals
[b>Setup Selection Rules: [/b>
Define which setups you'll trade:
โข [b>Conservative: [/b> Only A+ and A grades
โข [b>Balanced: [/b> A+, A, B+ grades
โข [b>Aggressive: [/b> All grades B and above
Test each approach for 5-10 trades, compare results.
[b>Position Sizing by Grade: [/b>
Consider risk-weighting by setup quality:
โข A+ grade: 100% position size
โข A grade: 75% position size
โข B+ grade: 50% position size
โข B grade: 25% position size
Example: If max risk is $1000/trade:
โข A+ setup: Risk $1000
โข A setup: Risk $750
โข B+ setup: Risk $500
This matches bet sizing to edge.
[b>Day Type Adaptation: [/b>
Create rules for different day types:
Trend Days:
โข Take ALL breakout signals (A/B/C grades)
โข Hold for 2.0x extension minimum
โข Trail stops aggressively (1.0 ATR trail)
โข DON'T fadeโreversals unlikely
Rotation Days:
โข ONLY take failed breakout reversals
โข Ignore initial breakout signals (likely to fail)
โข Take profits quickly (0.5x extension)
โข Focus on fade setups (Fade High/Fade Low)
Normal Days:
โข Take A/A+ breakout signals only
โข Take ALL failed breakout reversals (high probability)
โข Target 1.0-1.5x extensions
โข Partial profit-taking at extensions
Time-of-Day Rules: [/b>
Breakouts at different times have different probabilities:
10:00-10:30 AM (Early Breakout):
โข ORB just completed
โข Fresh breakout
โข Probability: Moderate (50-55% reach 1.0x)
โข Strategy: Conservative position sizing
10:30-12:00 PM (Mid-Morning):
โข Momentum established
โข Volume still healthy
โข Probability: High (60-65% reach 1.0x)
โข Strategy: Standard position sizing
12:00-2:00 PM (Lunch Doldrums):
โข Volume dries up
โข Whipsaw risk increases
โข Probability: Low (40-45% reach 1.0x)
โข Strategy: Avoid new entries OR reduce size 50%
2:00-4:00 PM (Afternoon Session):
โข Late-day positioning
โข EOD squeezes possible
โข Probability: Moderate-High (55-60%)
โข Strategy: Watch for IB breakโif trending all day, follow
[b>Phase 4: Live Micro-Sizing (Month 2) [/b>
[b>Goal: [/b> Validate paper trading results with minimal risk
[b>Setup: [/b>
โข 10-20% of intended full position size
โข Take ONLY A+ and A grade setups
โข Follow stop loss and targets religiously
[b>Execution: [/b>
โข Execute from alerts OR from dashboard setup box
โข Entry: Close of signal bar OR next bar market order
โข Stop: Use exact stop from setup (don't widen)
โข Targets: Scale out at T1/T2/T3 as indicated
[b>Tracking: [/b>
โข Log every trade: Entry, Exit, Grade, Outcome, Day Type
โข Calculate: Win rate, Average R-multiple, Max consecutive losses
โข Compare to paper trading results (should be within 15%)
[b>Red Flags: [/b>
โข Win rate <45%: System not suitable for this instrument/timeframe
โข Major divergence from paper trading: Execution issues (slippage, late entries, emotional exits)
โข Max consecutive losses >8: Hitting rough patch OR market regime changed
[b>Phase 5: Scaling Up (Months 3-6)
[b>Goal: [/b> Gradually increase to full position size
[b>Progression: [/b>
โข Month 3: 25-40% size (if micro-sizing profitable)
โข Month 4: 40-60% size
โข Month 5: 60-80% size
โข Month 6: 80-100% size
[b>Milestones Required to Scale Up: [/b>
โข Minimum 30 trades at current size
โข Win rate โฅ48%
โข Profit factor โฅ1.2
โข Max drawdown <20%
โข Emotional control (no revenge trading, no FOMO)
[b>Advanced Techniques:
[b>Multi-Timeframe ORB: Assumes first 30-60 minutes establish value. Violation: Market opens after major news, price discovery continues for hours (opening range meaningless).
2. [b>Volume Indicates Conviction: ES, NQ, RTY, SPY, QQQโhigh liquidity, clean ORB formation, reliable extensions
โข [b>Large-Cap Stocks: AAPL, MSFT, TSLA, NVDA (>$5B market cap, >5M daily volume)
โข [b>Liquid Futures: CL (crude oil), GC (gold), 6E (EUR/USD), ZB (bonds)โ24hr markets benefit from session ORBs
โข [b>Major Forex Pairs: [/b> EUR/USD, GBP/USD, USD/JPYโLondon/NY session ORBs work well
[b>Performs Poorly On: [/b>
โข [b>Illiquid Stocks: <$1M daily volume, wide spreads, gappy price action
โข [b>Penny Stocks: [/b> Manipulated, pump-and-dump, no real price discovery
โข [b>Low-Volume ETFs: Exotic sector ETFs, leveraged products with thin volume
โข [b>Crypto on Sketchy Exchanges: Wash trading, spoofing invalidates volume analysis
โข [b>Earnings Days: [/b> ORB completes before earnings release, then completely resets (useless)
โข Binary Event Days: FDA approvals, court rulingsโdiscontinuous price action
[b>Known Weaknesses: [/b>
โข [b>Slow Starts: ORB doesn't complete until 10:00 AM (30-min ORB). Early morning traders have no signals for 30 minutes. Consider using 15-minute ORB if this is problematic.
โข [b>Failure Detection Lag: [/b> Failed breakout requires 3+ bars to confirm. By the time system signals reversal, price may have already moved significantly back inside range. Manual traders watching in real-time can enter earlier.
โข [b>Extension Overshoot: [/b> System projects extensions mathematically (1.5x, 2.0x, etc.). Actual moves may stop short (1.3x) or overshoot (2.2x). Extensions are targets, not magnets.
โข [b>Day Type Misclassification: [/b> Early in session, day type is "Developing." By the time it's classified definitively (often 11:00 AM+), half the day is over. Strategy adjustments happen late.
โข [b>Gap Assumptions: [/b> System assumes gaps want to fill. Strong trend days never fill gaps (gap becomes support/resistance forever). Blindly trading toward gaps can backfire on trend days.
โข [b>Volume Data Quality: Forex doesn't have centralized volume (uses tick volume as proxyโless reliable). Crypto volume is often fake (wash trading). Volume confirmation less effective on these instruments.
โข [b>Multi-Session Complexity: [/b> When using Asian/London/NY ORBs simultaneously, chart becomes cluttered. Requires discipline to focus on relevant session for current time.
[b>Risk Factors: [/b>
โข [b>Opening Gaps: Large gaps (>2%) can create distorted ORBs. Opening range might be unusually wide or narrow, making extensions unreliable.
โข [b>Low Volatility Environments:[/b> When VIX <12, opening ranges can be tiny (0.2-0.3%). Extensions are equally tiny. Profit targets don't justify commission/slippage.
โข [b>High Volatility Environments:[/b> When VIX >30, opening ranges are huge (2-3%+). Extensions project unrealistic targets. Failed breakouts happen faster (volatility whipsaw).
โข [b>Algorithm Dominance:[/b> In heavily algorithmic markets (ES during overnight session), ORB levels can be manipulatedโalgos pin price to ORB high/low intentionally. Breakouts become stop-runs rather than genuine directional moves.
[b>โ ๏ธ RISK DISCLOSURE[/b>
Trading futures, stocks, options, forex, and cryptocurrencies involves substantial risk of loss and is not suitable for all investors. Opening Range Breakout strategies, while based on sound market structure principles, do not guarantee profits and can result in significant losses.
The ORB Fusion indicator implements professional trading concepts including Opening Range theory, Market Profile Initial Balance analysis, Fibonacci extensions, and failed breakout reversal logic. These methodologies have theoretical foundations but past performanceโwhether backtested or liveโis not indicative of future results.
Opening Range theory assumes the first 30-60 minutes of trading establish a meaningful value area and that breakouts from this range signal directional conviction. This assumption may not hold during:
โข Major news events (FOMC, NFP, earnings surprises)
โข Market structure changes (circuit breakers, trading halts)
โข Low liquidity periods (holidays, early closures)
โข Algorithmic manipulation or spoofing
Failed breakout detection relies on patterns of trapped participant behavior. While historically these patterns have shown statistical edges, market conditions change. Institutional algorithms, changing market structure, or regime shifts can reduce or eliminate edges that existed historically.
Initial Balance classification (trend day vs rotation day vs normal day) is a heuristic framework, not a deterministic prediction. Day type can change mid-session. Early classification may prove incorrect as the day develops.
Extension projections (1.272x, 1.5x, 1.618x, 2.0x, etc.) are probabilistic targets derived from Fibonacci ratios and empirical market behavior. They are not "support and resistance levels" that price must reach or respect. Markets can stop short of extensions, overshoot them, or ignore them entirely.
Volume confirmation assumes high volume indicates institutional participation and conviction. In algorithmic markets, volume can be artificially high (HFT activity) or artificially low (dark pools, internalization). Volume is a proxy, not a guarantee of conviction.
LTF precision sampling improves ORB accuracy by using 1-minute bars but introduces additional data dependencies. If 1-minute data is unavailable, inaccurate, or delayed, ORB calculations will be incorrect.
The grading system (A+/A/B+/B/C/D) and confidence scores aggregate multiple factors (volume, VWAP, day type, IB expansion, gap context) into a single assessment. This is a mechanical calculation, not artificial intelligence. The system cannot adapt to unprecedented market conditions or events outside its programmed logic.
Real trading involves slippage, commissions, latency, partial fills, and rejected orders not present in indicator calculations. ORB Fusion generates signals at bar close; actual fills occur with delay. Opening range forms during highest volatility (first 30 minutes)โspreads widen, slippage increases. Execution quality significantly impacts realized results.
Statistics tracking (win rates, extension levels reached, day type distribution) is based on historical bars in your lookback window. If lookback is small (<50 bars) or market regime changed, statistics may not represent future probabilities.
Users must independently validate system performance on their specific instruments, timeframes, and broker execution environment. Paper trade extensively (100+ trades minimum) before risking capital. Start with micro position sizing (5-10% of intended size) for 50+ trades to validate execution quality matches expectations.
Never risk more than you can afford to lose completely. Use proper position sizing (0.5-2% risk per trade maximum). Implement stop losses on every single trade without exception. Understand that most retail traders lose moneyโsophisticated indicators do not change this fundamental reality. They systematize analysis but cannot eliminate risk.
The developer makes no warranties regarding profitability, suitability, accuracy, reliability, or fitness for any purpose. Users assume full responsibility for all trading decisions, parameter selections, risk management, and outcomes.
By using this indicator, you acknowledge that you have read, understood, and accepted these risk disclosures and limitations, and you accept full responsibility for all trading activity and potential losses.
[b>โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ[/b>
[b>CLOSING STATEMENT[/b>
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Opening Range Breakout is not a trick. It's a framework. The first 30-60 minutes reveal where participants believe value lies. Breakouts signal directional conviction. Failures signal trapped participants. Extensions define profit targets. Day types dictate strategy. Failed breakouts create the highest-probability reversals.
ORB Fusion doesn't predict the futureโit identifies [b>structure[/b>, detects [b>breakouts[/b>, recognizes [b>failures[/b>, and generates [b>probabilistic trade plans[/b> with defined risk and reward.
The edge is not in the opening range itself. The edge is in recognizing when the market respects structure (follow breakouts) versus when it violates structure (fade breakouts). The edge is in detecting failures faster than discretionary traders. The edge is in systematic classification that prevents catastrophic errorsโlike fading a trend day or holding through rotation.
Most indicators draw lines. ORB Fusion implements a complete institutional trading methodology: Opening Range theory, Market Profile classification, failed breakout intelligence, Fibonacci projections, volume confirmation, gap psychology, and real-time performance tracking.
Whether you're a beginner learning market structure or a professional seeking systematic ORB implementation, this system provides the framework.
"The market's first word is its opening range. Everything after is commentary." โ ORB Fusion
Adaptive Z-Score Oscillator [QuantAlgo]๐ข Overview
The Adaptive Z-Score Oscillator transforms price action into statistical significance measurements by calculating how many standard deviations the current price deviates from its moving average baseline, then dynamically adjusting threshold levels based on historical distribution patterns. Unlike traditional oscillators that rely on fixed overbought/oversold levels, this indicator employs percentile-based adaptive thresholds that automatically calibrate to changing market volatility regimes and statistical characteristics. By offering both adaptive and fixed threshold modes alongside multiple moving average types and customizable smoothing, the indicator provides traders and investors with a robust framework for identifying extreme price deviations, mean reversion opportunities, and underlying trend conditions through the visualization of price behavior within a statistical distribution context.
๐ข How It Works
The indicator begins by establishing a dynamic baseline using a user-selected moving average type applied to closing prices over the specified length period, then calculates the standard deviation to measure price dispersion:
basis = ma(close, length, maType)
stdev = ta.stdev(close, length)
The core Z-Score calculation quantifies how many standard deviations the current price sits above or below the moving average basis, creating a normalized oscillator that facilitates cross-asset and cross-timeframe comparisons:
zScore = stdev != 0 ? (close - basis) / stdev : 0
smoothedZ = ma(zScore, smooth, maType)
The adaptive threshold mechanism employs percentile calculations over a historical lookback period to determine statistically significant extreme zones. Rather than using fixed levels like ยฑ2.0, the indicator identifies where a specified percentage of historical Z-Score readings have fallen, automatically adjusting to market regime changes:
upperThreshold = adaptive ? ta.percentile_linear_interpolation(smoothedZ, percentilePeriod, upperPercentile) : fixedUpper
lowerThreshold = adaptive ? ta.percentile_linear_interpolation(smoothedZ, percentilePeriod, lowerPercentile) : fixedLower
The visualization architecture creates a four-tier coloring system that distinguishes between extreme conditions (beyond the adaptive thresholds) and moderate conditions (between the midpoint and threshold levels), providing visual gradation of statistical significance through opacity variations and immediate recognition of distribution extremes.
๐ข How to Use This Indicator
โถ Overbought and Oversold Identification:
The indicator identifies potential overbought conditions when the smoothed Z-Score crosses above the upper threshold, indicating that price has deviated to a statistically extreme level above its mean. Conversely, oversold conditions emerge when the Z-Score crosses below the lower threshold, signaling statistically significant downward deviation. In adaptive mode (default), these thresholds automatically adjust to the asset's historical behavior, i.e., during high volatility periods, the thresholds expand to accommodate wider price swings, while during low volatility regimes, they contract to capture smaller deviations as significant. This dynamic calibration reduce false signals that plague fixed-level oscillators when market character shifts between volatile and ranging conditions.
โถ Mean Reversion Trading Applications:
The Z-Score framework excels at identifying mean reversion opportunities by highlighting when price has stretched too far from its statistical equilibrium. When the oscillator reaches extreme bearish levels (below the lower threshold with deep red coloring), it suggests price has become statistically oversold and may snap back toward the mean, presenting potential long entry opportunities for mean reversion traders. Symmetrically, extreme bullish readings (above the upper threshold with bright green coloring) indicate potential short opportunities or long exit points as price becomes statistically overbought. The moderate zones (lighter colors between midpoint and threshold) serve as early warning areas where traders can prepare for potential reversals, while exits from extreme zones (crossing back inside the thresholds) often provide confirmation that mean reversion is underway.
โถ Trend and Distribution Analysis:
Beyond discrete overbought/oversold signals, the histogram's color pattern and shape reveal the underlying trend structure and distribution characteristics. Sustained periods where the Z-Score oscillates primarily in positive territory (green bars) indicate a bullish trend where price consistently trades above its moving average baseline, even if not reaching extreme levels. Conversely, predominant negative readings (red bars) suggest bearish trend conditions. The distribution shape itself provides insight into market behavior, e.g., a narrow, centered distribution clustering near zero indicates tight ranging conditions with price respecting the mean, while a wide distribution with frequent extreme readings reveals volatile trending or choppy conditions. Asymmetric distributions skewed heavily toward one side demonstrate persistent directional bias, whereas balanced distributions suggest equilibrium between bulls and bears.
โถ Built-in Alerts:
Seven alert conditions enable automated monitoring of statistical extremes and trend transitions. Enter Overbought and Enter Oversold alerts trigger when the Z-Score crosses into extreme zones, providing early warnings of potential reversal setups. Exit Overbought and Exit Oversold alerts signal when price begins reverting from extremes, offering confirmation that mean reversion has initiated. Zero Cross Up and Zero Cross Down alerts identify transitions through the neutral line, indicating shifts between above-mean and below-mean price action that can signal trend changes. The Extreme Zone Entry alert fires on any extreme threshold penetration regardless of direction, allowing unified monitoring of both overbought and oversold opportunities.
โถ Color Customization:
Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and aesthetic preferences, ensuring optimal contrast and readability across trading platforms. The bar transparency control (0-90%) allows fine-tuning of visual prominence, with minimal transparency creating bold, attention-grabbing bars for primary analysis, while higher transparency values produce subtle background context when using the oscillator alongside other indicators. The extreme and moderate zone coloring system uses automatic opacity variation to create instant visual hierarchy, with darkest colors highlight the most statistically significant deviations demanding immediate attention, while lighter shades mark developing conditions that warrant monitoring but may not yet justify action. Optional candle coloring extends the Z-Score color scheme directly to the price candles on the main chart, enabling traders to instantly recognize statistical extremes and trend conditions without needing to reference the oscillator panel, creating a unified visual experience where both price action and statistical analysis share the same color language.
ZERO-LAG Tabrizi Scalping ToolKit This indicator will allow you to scalp on the 1M and 5M chart with zero lag. We will show you trend reversals and also when to buy and sell
SMC Academy [PhenLabs]๐ SMC Academy
Version: PineScriptโข v6
๐ 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 โLearning Phaseโ system that allows users to toggle between individual conceptsโsuch as Market Structure, Liquidity, Imbalances, and Order Blocksโor view them all simultaneously. It lets you focus on one piece of the puzzle at a time.
๐ 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.
๐ง 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.
๐ฅ 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.
๐จ 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.
๐ Usage Guidelines
Setting Categories
Learning Mode: Select from โ1. Market Structureโ through โ5. Full Strategy Modeโ 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.
โ
Best Use Cases
Educational Study: Isolate โPhase 1: Market Structureโ to practice identifying trend changes without distraction.
Trend Following: Use โPhase 3: Imbalancesโ to find entry points within an established trend.
Reversal Trading: Combine โPhase 2: Liquidityโ and โPhase 4: Order Blocksโ to catch reversals at key levels.
โ ๏ธ 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 โCloseโ mode is selected.
๐ก 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.
๐ฌ 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.
๐ก 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.
Fuerza Relativa vs SPY (Oleos Capital) RS Rating shaded, blue arrow when a crossover with the black line (SPY) occurs and the RS rating according to the period above right to see the evolution of the asset.
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 โsmile curve.โ 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 **CatmullโRom 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** โ farthest back
* **R1 / S1** โ medium range
* **Pivot** โ nearest anchor
This spacing creates the structural foundation for the bell curve.
---
#### 3. Smile / Bell Curve Visualization
* Smooth curve generated using **CatmullโRom 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 (5mโ30m) for structure context
* H1โH4 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.
Quasimodo (QML) Pattern [Kodexius]Quasimodo (QML) Pattern is a market structure indicator that automatically detects Bullish and Bearish Quasimodo formations using confirmed swing pivots, then visualizes the full structure directly on the chart. The script focuses on the classic liquidity-grab narrative of the QML: a sweep beyond a prior swing (the Head) followed by a decisive market structure break (MSB), leaving behind a clearly defined reaction zone between the Left Shoulder and the Head.
Detection is built on pivot highs and lows, so patterns are evaluated only after swing points are validated. Once a valid 4 pivot sequence is identified, the indicator draws the pattern legs, highlights the internal triangle area to emphasize the grab, marks the MSB leg, and projects a QML zone that can be used as a potential area of interest for retests.
This tool is designed for traders who work with structure, liquidity concepts, and reversal/continuation triggers, and who want a clean, repeatable QML visualization without manually marking swings.
๐น Features
๐ธ Confirmed Pivot Based Structure Mapping
The script uses classic built-in pivot logic to detect swing highs and swing lows.
๐ธ Automatic Bullish and Bearish QML Detection
The indicator evaluates the most recent 4 pivots and checks for a valid alternating sequence (High-Low-High-Low or Low-High-Low-High). When the sequence matches QML requirements, the script classifies the setup as bullish or bearish:
Bullish logic (structure reversal up):
- Left Shoulder is a pivot Low
- Head is a lower Low than the Left Shoulder (liquidity sweep)
- MSB pivot exceeds the Reaction pivot
Bearish logic (structure reversal down):
- Left Shoulder is a pivot High
- Head is a higher High than the Left Shoulder (liquidity sweep)
- MSB pivot breaks below the Reaction pivot
๐ธ Full Pattern Visualization (Legs + Highlighted Core)
When a pattern triggers, the script draws:
Three main legs: Left Shoulder to Reaction, Reaction to Head, Head to MSB
A shaded triangular highlight over the internal structure to make the liquidity-grab shape easy to spot at a glance
๐ธ QML Zone Projection
A QML Zone box is drawn using the price range defined between the Left Shoulder and the Head, then extended to the right to remain visible as price develops. This zone is intended to act as a practical reference area for potential retests and reaction planning after MSB confirmation.
๐ธ MSB Emphasis
A dotted MSB line is drawn between the Reaction point and the MSB point to visually emphasize the confirmation leg that completes the pattern logic.
๐ธ Clean Point Tagging and Directional Labeling
Key points are labeled directly on the chart:
- โLSโ at the Left Shoulder
- โHeadโ at the sweep pivot
- โMSBโ at the break pivot
A directional label (โBullish QMLโ or โBearish QMLโ) is also printed to quickly identify the detected bias.
๐ธ Configurable Visual Style
All main visual components are user configurable:
- Bullish and bearish colors
- Line width
- Label size
๐ธ Efficient Update Logic
Pattern checks are only performed when a new pivot is confirmed, avoiding unnecessary repeated calculations on every bar. The most recent patternโs projected elements (zone and label positioning) are updated as new bars print to keep the latest setup readable.
๐น Calculations
This section summarizes the core logic used for detection and plotting.
1. Pivot Detection (Swing Highs and Lows)
The script relies on confirmed pivots using the user inputs:
Left Bars: how many bars must exist to the left of the pivot
Right Bars: how many bars must exist to the right to confirm it
float ph = ta.pivothigh(leftLen, rightLen)
float pl = ta.pivotlow(leftLen, rightLen)
When a pivot is confirmed, its true bar index is the pivot bar, not the current bar, so the script stores:
bar_index
2. Pivot Storage and History Window
Each pivot is stored as a structured object containing:
- price
- index
- isHigh (true for pivot high, false for pivot low)
A rolling history is maintained (up to 50 pivots) to keep processing stable and memory usage controlled.
3. Sequence Validation (Alternation Check)
The pattern evaluation always uses the latest 4 pivots:
p0: Left Shoulder candidate
p1: Reaction candidate
p2: Head candidate
p3: MSB candidate
Before checking bullish/bearish rules, the script enforces alternating pivot types:
bool correctSequence =
(p0.isHigh != p1.isHigh) and
(p1.isHigh != p2.isHigh) and
(p2.isHigh != p3.isHigh)
This prevents invalid structures like consecutive highs or consecutive lows from being interpreted as QML.
4. Bullish QML Conditions
A bullish QML is evaluated when the Left Shoulder is a Low:
Head must be lower than Left Shoulder (sweep)
MSB must be higher than Reaction (break)
if not p0.isHigh
if p2.price < p0.price and p3.price > p1.price
// Bullish QML confirmed
Interpretation:
p2 < p0 represents the liquidity grab below the prior swing low
p3 > p1 represents the market structure break above the reaction high
5. Bearish QML Conditions
A bearish QML is evaluated when the Left Shoulder is a High:
Head must be higher than Left Shoulder (sweep)
MSB must be lower than Reaction (break)
if p0.isHigh
if p2.price > p0.price and p3.price < p1.price
// Bearish QML confirmed
Interpretation:
p2 > p0 represents the liquidity grab above the prior swing high
p3 < p1 represents the market structure break below the reaction low
6. Drawing Logic (Structure, Highlight, Zone, Labels)
When confirmed, the script draws:
Three connecting legs (LS to Reaction, Reaction to Head, Head to MSB)
A shaded triangle using a transparent โghostโ line to enable filling
A dotted MSB emphasis line between Reaction and MSB
A QML Zone box spanning the LS to Head price range and projecting to the right
Point labels: LS, Head, MSB
A direction label: โBullish QMLโ or โBearish QMLโ
7. Latest Pattern Extension
To keep the newest setup readable, the script updates the most recently detected pattern by extending its projected elements as new bars print:
QML zone right edge is pushed forward
The main label x position is pushed forward
This keeps the last identified QML zone visible as price evolves, without having to redraw historical patterns on every bar.
Approved Engulfing - Confirmed Close Triggerit a single engulfing that i personally chase to find a good setup
RSI For Loop | PWRSI For Loop โ True Dominance Oscillator
RSI For Loop โ True Momentum Dominance Through Historical Comparison
The Relative Strength Index (RSI) is excellent at measuring recent price change intensity, but a reading of 70 or 30 has completely different implications depending on the market regime. RSI For Loop removes this ambiguity by transforming RSI into a clean, zero-centered dominance / percentile-rank oscillator that always tells you exactly how strong or weak the current momentum is compared to recent history.
How it works
- Standard RSI is calculated normally (default length 46).
- A simple for-loop compares the current RSI value against the actual RSI value of every previous bar inside the user-defined lookback window (default 1 to 99 bars โ one full quarter on daily charts).
- Current RSI higher โ +1 point
- Current RSI lower โ โ1 point
The resulting score ranges from โ99 to +99 and is naturally centered around zero:
1. +40 = current momentum beats ~70 % of the last 99 bars (approximation)
2. โ60 = current momentum is weaker than ~80 % of the last 99 bars (approximation)
3. Near zero = balanced or ranging market
Additional statistical layers
- A very long rolling median of the score (default 240 periods) serves as a slow, robust dynamic centerline
- Upper and lower 3ฯ bands are calculated from the standard deviation of the underlying RSI median (default length 60) to highlight truly rare extreme-dominance phases
- Asymmetric trend thresholds (default Long +15 / Short โ28) reflect the empirical observation that downside momentum is usually sharper and faster
Origin and development
The core idea of using a for-loop on RSI was originally introduced by @viResearch in his invite-only โRSI For Loopโ script.
While studying that concept I realised I needed an even more regime-robust strength gauge that looks back far enough to capture full market cycles (2โ4 months). Therefore I completely rewrote the loop to compare against actual historical RSI values instead of fixed levels, added a 240-period median centerline, 3ฯ extreme bands, asymmetric thresholds, and visual signals. All parameters were extensively tested across dozens of major assets (BTC, ETH, SOL, SUI, BNB, XRP, TRX, DOGE, LINK, PAXG, CVX, HYPE, VIRTUAL + 20+ more cryptos; Magnificent 7 stocks, QQQ, SPX, XAUUSD) with the goal of achieving consistent profitability, high Sortino ratio and low drawdown in simple trend-following setups.
The final defaults represent the most robust compromise found โ they keep you in real trends for dozens or hundreds of bars while staying almost silent in choppy, ranging markets.
Important Note
The optimization process is tailored to MY needs and have to be adjusted to you prefered timeframe!
I was mainly looking for an indicator that shows the underlying strength of an asset, the trend componant was only a bonus in my eyes.
How to use it
1. Green triangle below bar โ score crosses above +15 โ new bullish regime confirmed โ enter or add to longs
2. Magenta triangle above bar โ score crosses below โ28 โ exit longs or go cash/short
While score stays clearly positive โ bullish bias hold
3. Score touching or breaking the 3ฯ bands โ extreme conviction zone (add to winners or prepare for exhaustion)
Strength
Recommended defaults (My preference)
RSI length 46
Loop range 1โ99
Long threshold +15
Short threshold โ28
Median length 240
SD length 60
Recommended Universal Settings (Tested for low Max-Drawdown, high Sortino)
RSI length 44
Loop range 1โ60
Long threshold +14
Short threshold โ10
Median length 180
SD length 28
Works on every asset class, but the current settings are tuned for major liquid markets.
Disclaimer: This is not financial advice. Backtests are based on past results and are not indicative of future performance.
My Exclusive Support & Resistance Strategyndicator Name:
Market Maker Pro: Multi-TF S&R & Hidden Signals (CALL/PUT)
Description:
This is a professional-grade institutional trading indicator designed to identify "Market Maker" entries by combining Volume-Weighted Average Price (VWAP), EMA Crossovers, and Multi-Timeframe Support & Resistance levels.
The indicator is optimized for traders who seek high-probability entries (CALL/PUT) on any timeframe, from 1-minute scalping to 4-hour swing trading.
Key Features:
Institutional Support & Resistance (4H & 1H): Automatically plots high-impact levels from the 4-hour and 1-hour charts. These appear as short, clean lines (12 bars) to keep the chart clutter-free.
Hidden Market Maker Logic: Uses a background combination of EMA 20 and EMA 50 crossovers, filtered by the VWAP (the "Fair Value" for big banks).
Precision Signals (CALL/PUT): * CALL Signal: Triggered only when EMA 20 crosses above EMA 50 while the price is trading above the VWAP.
PUT Signal: Triggered only when EMA 20 crosses below EMA 50 while the price is trading below the VWAP.
Multi-Timeframe Adaptive: Seamlessly works across all timeframes (1m, 5m, 15m, 1h, 4h).
Visual Confidence: High-visibility labels and background highlights ensure you never miss a confirmed institutional entry.
How to Trade:
Identify the Wall: Look for the thick lines (4H levels) to identify major reversal zones.
Wait for the Signal: Look for the CALL or PUT label.
Confirm with VWAP: The signal only appears if the price is on the correct side of the institutional volume (VWAP), giving you a "Market Maker" edge.
Elev8+ Impulse LevelsElev8+ Impulse Levels | Smart Support & Resistance
Ever notice price rejecting โemptyโ areas on the chartโlike it remembered something that isnโt obvious?
That โsomethingโ 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.
โ โ โ
๐ง 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 โthe โPerfect Stormโ when two conditions align:
Volume Spike โ buying/selling pressure significantly exceeds average volume (multiplier-based).
Volatility Expansion โ 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 โline in the sandโ that can influence future reactions.
โ โ โ
๐ฏ How to Use These Levels
The script includes a Smart Line behavior that changes level styling based on how price interacts with itโso you can quickly separate two core setups:
1) The Defense (Bounce)
Visual: ๐ข Solid line (Fresh / Untouched)
What it means: Price has not yet traded through or โinvalidatedโ the level.
What to look for: First return to the level โ rejection / bounce behavior.
Why it matters: Large players often defend prior entries; first tests can react sharply.
2) The Flip (Break & Retest)
Visual: โ 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 (โkissโ) โ continuation.
Why it matters: Broken support can act as resistance (and vice versa), similar to a breaker concept.
โ โ โ
โจ Key Features
Smart Visualization โ levels automatically transition from solid โ dotted when broken to reduce chart noise.
Impulse Candle Highlighting โ see the exact candle that created the level (origin clarity).
Fully Customizable Sensitivity โ tune volume + size thresholds for Crypto, Forex, Futures, or Stocks.
โ โ โ
๐ 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.
โ โ โ
Disclaimer: Trading involves risk. This tool is for educational/technical analysis purposes only and does not guarantee future results.
AI-based Price action confluence dashboard# **AI-Based Price Action Confluence Dashboard - Publication Guide**
Here's a comprehensive introduction guide for your TradingView indicator publication:
***
## **๐ TITLE**
**AI-Based Price Action Confluence Dashboard**
***
## **๐ฏ SHORT DESCRIPTION** (For the summary field)
A sophisticated real-time confluence scoring system that analyzes multiple price action signals across 15-minute timeframes, providing traders with an AI-weighted scoring mechanism (0-6 scale) to identify high-probability trade setups through visual signal panels and intelligent path detection.
***
## **๐ FULL DESCRIPTION**
### **Overview**
The AI-Based Price Action Confluence Dashboard is an advanced technical indicator designed to eliminate guesswork in intraday trading by systematically scoring and displaying multiple price action signals in real-time. Unlike traditional single-indicator approaches, this dashboard employs a confluence methodology that combines multiple independent signals to provide stronger trade confirmations and reduce false signals.
This indicator is specifically optimized for **1-minute chart analysis** while monitoring **15-minute price structure**, making it ideal for day traders and scalpers who need precise entry timing with larger timeframe context.
***
### **๐ Key Features**
**โ
Real-Time AI Confluence Scoring**
- Dynamic scoring system (0-6 points) for both bullish and bearish setups
- Visual meter display shows signal strength at a glance
- Color-coded backgrounds indicate confluence levels (strong, moderate, mixed)
**โ
Multi-Signal Analysis**
The dashboard tracks 6 distinct signal types:
1. **FTFC (First to Finish Close)** - Base & Bonus signals
2. **Long/Short Grab** - Liquidity sweep patterns (Path A)
3. **High/Low Hold** - Extended momentum confirmation (+2 bonus)
4. **2-Up/2-Down** - Clean breakout patterns (Path B)
5. **Breakaway** - First candle gap strategies
**โ
Intelligent Path Detection**
- Mutually exclusive path logic prevents signal conflicts
- Automatically identifies whether price is following a "sweep path" or "clean path"
- Unavailable paths are clearly marked with gray indicators
**โ
Visual Signal Panels**
- ๐ข Green Light = Bullish signal ACTIVE
- ๐ด Red Light = Bearish signal ACTIVE
- ๐ก Yellow Light = Signal BUILDING (conditions partially met)
- โช White Light = Signal OFF
- โช๏ธ Gray Square = Path UNAVAILABLE (mutually exclusive)
**โ
Comprehensive Alert System**
- 10 different alert conditions covering all major signals
- Strong confluence alerts (5+ points)
- Individual signal completion alerts
- Customizable alert messages
***
### **๐ How It Works**
#### **The Confluence Methodology**
This indicator implements a sophisticated confluence trading approach where multiple independent price action signals are combined to identify high-probability setups. Each signal type contributes points to either the bullish or bearish score, with a maximum of 6 points per direction.
**Scoring Breakdown:**
**BULLISH SIGNALS:**
- FTFC Base (15m close > previous 15m close) = +1
- FTFC Bonus (price clears 15th candle high) = +1
- **PATH A (Sweep):** Long Grab = +1, High Hold Bonus = +2
- **PATH B (Clean):** 2-Up = +1, 2-Up Bonus = +1
- Breakaway (gap above first candle) = +1
**BEARISH SIGNALS:**
- FTFC Base (15m close < previous 15m close) = +1
- FTFC Bonus (price clears 15th candle low) = +1
- **PATH A (Sweep):** Short Grab = +1, Low Hold Bonus = +2
- **PATH B (Clean):** 2-Down = +1, 2-Down Bonus = +1
- Breakaway (gap below first candle) = +1
#### **Path Detection Logic**
The indicator automatically determines which path the market is following:
**PATH A: SWEEP PATH**
- Activated when previous 15m low (bull) or high (bear) is breached
- Indicates liquidity grab before reversal
- Includes powerful +2 bonus for "Hold" confirmations
- Mutually exclusive with Path B
**PATH B: CLEAN PATH**
- Activated when previous 15m low (bull) or high (bear) holds
- Indicates strong directional momentum without sweep
- Cleaner price action but smaller point potential
- Mutually exclusive with Path A
This mutual exclusivity prevents double-counting and ensures signal accuracy.
***
### **๐จ How to Use**
#### **Installation**
1. Add indicator to your 1-minute chart
2. The dashboard appears as a table overlay (default: top right)
3. No additional indicators required - this is a complete system
#### **Reading the Dashboard**
**Top Section - Confluence Meter:**
- Shows current bull/bear scores with visual dot meters
- Background color changes based on confluence strength:
- **Bright Green/Red** = 5+ points (strong directional bias)
- **Medium Green/Red** = 3+ points (moderate bias)
- **Orange** = 3+ points both sides (conflicting signals)
- **Gray** = Low confluence (choppy conditions)
**Signal Panels Section:**
- Each row shows a signal type with bull/bear lights side-by-side
- Active signals (๐ข๐ด) contribute to the total score
- Building signals (๐ก) indicate potential setups forming
- Unavailable paths (โช๏ธ) show which exclusive path is blocked
#### **Trading Strategy**
**High-Probability Long Entries:**
- Bull score โฅ 5 AND bear score โค 1
- Multiple green lights active in signal panels
- PATH A or PATH B showing full completion
- Consider entry on pullback to key 15m level
**High-Probability Short Entries:**
- Bear score โฅ 5 AND bull score โค 1
- Multiple red lights active in signal panels
- PATH A or PATH B showing full completion
- Consider entry on rally to key 15m level
**Avoid Trading When:**
- Both scores are 3+ (conflicting signals)
- No path is showing active/building status
- Score is below 3 on both sides (low confluence)
#### **Risk Management**
- Use 15m swing high/low for stop placement
- Target opposing 15m level or previous session extremes
- Scale out at partial targets when confluence decreases
- Best results when combined with proper position sizing
***
### **โ๏ธ Customization**
**Dashboard Settings:**
- **Table Location:** Top Left, Top Right, Bottom Left, Bottom Right
- **Text Size:** Tiny, Small, Normal, Large
**Color Scheme:**
- **Bullish Color:** Customize green for bull signals (default: #00cc66)
- **Bearish Color:** Customize red for bear signals (default: #ff4444)
- **Building Color:** Customize yellow for forming signals (default: #ffaa00)
- **Inactive Color:** Customize gray for off signals (default: #555555)
- **Unavailable Color:** Customize dark gray for blocked paths (default: #333333)
All colors can be adjusted to match your chart theme or visual preferences.
***
### **๐ฏ Best Practices**
1. **Use on 1-minute charts only** - The indicator is calibrated for this timeframe
2. **Trade during liquid sessions** - Best results during NY/London overlap
3. **Wait for 3+ confluence** - Minimum threshold for trade consideration
4. **Watch path transitions** - Signal strength changes when paths flip
5. **Use alerts strategically** - Set alerts for 5+ confluence to catch strong setups
6. **Combine with volume** - High volume confirms signal validity
7. **Respect 15m structure** - Don't fight the larger timeframe bias
***
### **โ ๏ธ Important Notes**
- This indicator is designed for **intraday trading only**
- Requires active monitoring during trading sessions
- Works best on liquid instruments (major forex pairs, indices, large-cap stocks)
- Not suitable for swing trading or position trading
- Past performance does not guarantee future results
- Always use proper risk management and position sizing
***
### **๐ท๏ธ Category**
**Oscillators** or **Volatility** (choose based on TradingView categories)
***
### **๐ท๏ธ Suggested Tags**
- confluence
- price action
- day trading
- scalping
- intraday
- signals
- dashboard
- multi-timeframe
- 1-minute
- 15-minute
***
### **๐ Disclaimer**
This indicator is a tool for technical analysis and should not be used as the sole basis for trading decisions. All trading involves risk, and you should never risk more than you can afford to lose. The developer assumes no responsibility for trading losses incurred through the use of this indicator. Always practice proper risk management and consider your own risk tolerance before trading.
Buying Opportunity Score V2.1Overview
A composite scoring system (0-100) that identifies high-probability buying opportunities during market pullbacks. Validated through backtesting on SPY from 2010-2024.
How It Works
The indicator combines multiple fear and oversold signals into a single actionable score. When fear is elevated and the market is oversold, the score rises. Higher scores historically correlate with better forward returns.
Scoring Components
VIX Level (30 pts) - Market fear gauge
Drawdown (30 pts) - Distance from 52-week high
RSI 14 (12 pts) - Oversold confirmation
Bollinger Band (13 pts) - Statistical extreme
VIX Timing (15 pts) - Bonus when VIX declining from peak
Signal Levels
80+ = STRONG BUY (high conviction)
70-79 = BUY (consider entry)
60-69 = WATCH (monitor closely)
Below 60 = No signal
Backtest Results (SPY, 2010-2024)
70+ Signals: 85% win rate, 7.5% average 20-day return
80+ Signals: 100% win rate, 14% average 20-day return
Features
Statistics table showing 1Y, 3Y, 5Y rolling performance
Signal markers (green triangles) on buy signals
Outcome labels showing WIN/LOSS after measurement period
Multiple alert options
Works on SPY, QQQ, IWM (use VIX for all)
How To Use
Add to SPY, QQQ, or IWM (daily timeframe)
Wait for score to reach 70+ or 80+
Green triangle marks signal day
Check statistics table for recent performance
Set alerts for notifications
Alerts Available
STRONG BUY Signal (80+)
BUY Signal (70+)
Moderate Signal (60+)
Score Crossed 80/70
Score Dropped Below 70
Important Notes
Designed for daily timeframe on broad market ETFs
Signals confirm at end of day (bar close)
Statistics table shows rolling windows based on loaded data
Past performance does not guarantee future results
SCOTTGO - Buy Sell Volume๐ 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.
Scalping Acciones PRO (Entradas + TP + SL) leo
How to use it correctly
โข Timeframe: 1m or 5m
โข High-volume stocks (SPY, AAPL, TSLA, NVDAโฆ)
โข Take Profit (TP): VWAP or EMA 21
โข Stop Loss (SL): low/high of the signal candle
โธป
If you want, in the next message I can:
โข ๐ง add automatic Stop Loss and Take Profit
โข ๐ convert it into a strategy (Strategy Tester)
โข ๐ฏ filter only strong reversals (fewer false signals)
AI Market Open - Live Session Tracker (PDH/PDL/ONH/ONL)๐ค AI MARKET OPEN - LIVE SESSION TRACKER
A comprehensive real-time tracking system designed for intraday traders who trade the market open using previous day levels (PDH/PDL) and overnight session ranges (ONH/ONL). This indicator provides intelligent context and mitigation tracking to help you make informed trading decisions during the critical morning session.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ WHAT THIS INDICATOR DOES
This indicator automatically tracks and displays six critical price levels:
โข PDH (Previous Day High) - Yesterday's regular session high (9:30 AM - 4:00 PM ET)
โข PDL (Previous Day Low) - Yesterday's regular session low
โข PDC (Previous Day Close) - Yesterday's 3:59 PM ET close price
โข ONH (Overnight High) - Overnight session high (6:00 PM - 9:29 AM ET)
โข ONL (Overnight Low) - Overnight session low
โข 9:30 Open - The exact opening price at market open
It monitors whether each level has been "mitigated" (touched/tested) in real-time and provides AI-generated context about current market structure.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ฏ KEY FEATURES
โ
REAL-TIME MITIGATION TRACKING
โข Live status updates showing โ
(mitigated) or โณ (unmitigated) for each level
โข Persistent tracking - once a level is touched, it stays marked
โข Gap fill detection with ๐ (filled) or ๐ (open) status
โ
DYNAMIC CALCULATIONS
โข ฮ Open: Distance from 9:30 AM opening price to each level
โข RT ฮ: Real-time distance from current price to each level
โข Automatic color coding (green for resistance, red for support)
โ
AI MARKET CONTEXT SUMMARY
The indicator generates intelligent commentary based on:
โข Gap size classification (large/moderate/small)
โข PDH/PDL mitigation status
โข Current position within overnight range
โข Directional bias and key levels to watch
โ
CUSTOMIZABLE DISPLAY
โข Choose table position (9 locations available)
โข Adjustable text size (tiny/small/normal/large)
โข Custom colors for headers, summary text, and background
โข Show/hide table with single toggle
โ
PROFESSIONAL LEVEL LINES
โข Ray-style horizontal lines extending right
โข Customizable line width (1-4)
โข Three line styles: Solid, Dashed, Dotted
โข Color-coded labels with exact price values
โข Lines auto-update and reset each session
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง HOW IT WORKS
SESSION TRACKING
โข Regular Session: 9:30 AM - 4:00 PM ET (for PDH/PDL calculation)
โข Close Capture: 3:59 PM ET close becomes PDC
โข Overnight Session: 6:00 PM - 9:29 AM ET (for ONH/ONL)
โข Session Reset: 6:00 PM ET daily
MITIGATION LOGIC
A level is considered "mitigated" when price touches or crosses it:
โข PDH mitigated: High >= PDH at any point after 6:00 PM previous day
โข PDL mitigated: Low <= PDL at any point after 6:00 PM previous day
โข ONH mitigated: High >= ONH after 9:30 AM open
โข ONL mitigated: Low <= ONL after 9:30 AM open
โข Gap filled: Price crosses PDC after gapping up or down
AI SUMMARY ALGORITHM
The indicator analyzes three key dimensions:
1. GAP CLASSIFICATION
โข Large gap (>50 pts): Suggests gap-fill or extension scenarios
โข Moderate gap (20-50 pts): Monitor overnight levels for direction
โข Small gap (<20 pts): Range-bound expectation
2. PDH/PDL STATUS
โข Both untested: Clean liquidity zones
โข One mitigated: Remaining level becomes primary target
โข Both mitigated: Expect range/balance trade
3. OVERNIGHT RANGE POSITION
โข Top 25%: Bullish bias, watch PDH
โข Mid-upper: Slight bull bias
โข Mid-lower: Neutral
โข Bottom 25%: Vulnerable to PDL sweep
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ HOW TO USE
STEP 1: ADD TO CHART
โข Apply to any intraday timeframe (1m, 5m, 15m recommended)
โข Works on ES, NQ, YM, RTY, and other CME futures
โข Can be used on stocks and forex (adjust session times accordingly)
STEP 2: SET YOUR TIMEZONE
โข Default: America/New_York (Eastern Time)
โข Also supports: Chicago, Los Angeles, Phoenix
โข Ensure your chart timezone matches your selection
STEP 3: CUSTOMIZE APPEARANCE
โข Position table where it doesn't block your chart action
โข Adjust text size based on screen resolution
โข Customize colors to match your chart theme
โข Toggle line styles for visual preference
STEP 4: INTERPRET THE DATA
โข Before market open (pre-9:30 AM): Review gap size and overnight levels
โข At market open: Check which levels are closest to price
โข During session: Monitor mitigation status and RT ฮ values
โข Read AI summary for contextual bias and key scenarios
STEP 5: APPLY TO YOUR STRATEGY
โข Use unmitigated levels as potential targets
โข Watch for reactions when price approaches key levels
โข Gap-fill setups: Trade reversions when gap is open
โข Breakout setups: Trade continuations when levels get mitigated
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ๏ธ INDICATOR SETTINGS
DISPLAY SETTINGS
โข Timezone: Select your local market timezone
โข Table Position: 9 locations (corners, edges, center)
โข Text Size: tiny | small | normal | large
โข Show Summary Table: Toggle on/off
COLOR CUSTOMIZATION
โข Header Text Color: Default white
โข AI Summary Color: Default aqua
โข Background Color: Default semi-transparent black
โข Border Color: Default blue
LINE CUSTOMIZATION (PDH)
โข Line Width: 1-4 pixels
โข Line Style: Solid | Dashed | Dotted
โข Color: Default red with 40% transparency
LINE CUSTOMIZATION (PDL)
โข Line Width: 1-4 pixels
โข Line Style: Solid | Dashed | Dotted
โข Color: Default green with 40% transparency
LINE CUSTOMIZATION (PDC)
โข Line Width: 1-4 pixels
โข Line Style: Solid | Dashed | Dotted
โข Color: Default yellow with 60% transparency
LINE CUSTOMIZATION (ONH)
โข Line Width: 1-4 pixels
โข Line Style: Solid | Dashed | Dotted
โข Color: Default orange with 50% transparency
LINE CUSTOMIZATION (ONL)
โข Line Width: 1-4 pixels
โข Line Style: Solid | Dashed | Dotted
โข Color: Default blue with 50% transparency
LINE CUSTOMIZATION (9:30 Open)
โข Line Width: 1-4 pixels
โข Line Style: Solid | Dashed | Dotted
โข Color: Default white with 50% transparency
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ก BEST PRACTICES
โ Use on 1-minute or 5-minute charts for precise level tracking
โ Combine with volume profile for confluence
โ Wait for confirmation candles near key levels
โ Pay attention to gap-fill probability (larger gaps more likely to fill)
โ Use RT ฮ values to gauge distance and set realistic targets
โ Review AI summary each morning for bias and scenario planning
โ Don't trade blindly - use levels as reference points, not mechanical signals
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๏ธ IMPORTANT NOTES
โข This indicator is designed for CME session times (futures markets)
โข For stocks, session times may differ - adjust expectations accordingly
โข Levels reset daily at 6:00 PM ET - no weekend carryover
โข Mitigation tracking persists throughout the session
โข The AI summary provides context, not trade signals
โข Always use proper risk management
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ IDEAL FOR
โข Day traders focusing on market open
โข Scalpers using previous day levels
โข Session-based traders (Asia/London/NY)
โข Traders who need automated level tracking
โข Anyone trading overnight gaps and ranges
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ VERSION HISTORY
v1.0 - Initial Release
โข Core tracking system for PDH/PDL/PDC/ONH/ONL/Open
โข Real-time mitigation status
โข AI context summary
โข Fully customizable display and lines
โข Multi-timezone support
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง FEEDBACK & SUPPORT
If you find this indicator helpful, please:
โข Leave a like ๐
โข Add to favorites โญ
โข Share with fellow traders
โข Comment with suggestions or questions
Happy trading! ๐
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
MSL - With Alerts & Multi-SymbolChแป bรกo phรกt hiแปn sแปฑ thay ฤแปi xu hฦฐแปng With Alerts & Multi-Symbol
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
Scalping Signals with MTF Fibo BandsThis indicator is a scalping / intraday signal system built on Multi-Timeframe (MTF) Fibonacci Bands, combined with an RSI midline filter and an optional direction-lock mechanism to reduce consecutive losing entries.
๐น What does this indicator do?
It plots two independent Fibonacci Band sets (A & B), each calculated from a higher timeframe SMA + ATR.
Entry zones are defined between Band 2 and Band 3, representing statistically extreme price areas.
You can choose to generate signals from:
Band A only
Band B only
BOTH (A + B confirmation)
๐ Entry Logic
LONG
Price closes inside the Lower Zone (between Fib2 Lower & Fib3 Lower)
RSI is above the midline (default 50)
SHORT
Price closes inside the Upper Zone (between Fib2 Upper & Fib3 Upper)
RSI is below the midline (default 50)
๐ง Direction Lock System
If enabled, the indicator locks the trade direction when a position hits Stop Loss before reaching TP1.
This prevents repeated entries in the same direction during unfavorable conditions.
๐ Unlock Logic
The lock can be removed when:
RSI crosses back over the midline (RSI > 50 for LONG, RSI < 50 for SHORT)
AND price closes again inside the valid Band 2โ3 zone
With the optional setting enabled, a new entry can occur on the same candle
๐ Stop Loss Logic (Important)
This indicator uses price-action-based stop logic, not fixed pip stops.
1๏ธโฃ Before TP1
LONG: Two consecutive candle closes below Fib3 Lower
SHORT: Two consecutive candle closes above Fib3 Upper
โ ๏ธ Because SL depends on candle closes, you must monitor lower timeframes (1m or below) to react quickly and avoid delayed exits.
2๏ธโฃ After TP1 (Break-Even Protection)
Once TP1 is touched:
SL automatically shifts to Break-Even (entry price)
Any return to entry will close the position
โ ๏ธ Usage Warning
This indicator is NOT designed for sharp, explosive, or news-driven moves
Avoid using it during:
High-impact news
Extremely fast impulsive candles
Sudden volatility spikes
Best performance is achieved in structured price action environments, not chaotic market conditions.
