Order Flow Footprint & DeltaOrder Flow Footprint & Delta
OVERVIEW
Order Flow Footprint & Delta is a candle + volume proxy scanner for the Order Flow playbook on PulseWire.
It marks three educational setups — OF1 Continuation, OF2 Absorption reversal, and OF3 Break & retest — using structure bias, volume impulse, absorption proxies, and break/retest logic.
Important: PulseWire does not provide true bid/ask footprint data for most symbols. This script uses candle and volume proxies. The on-chart dashboard shows Proxy = no footprint.
Built by the Xcelerate Trade team.
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BEST USED WITH
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Works much better together with:
→ “Fluid Liquidity Zones - CHoCH + Mitigation + HTF | Xcelerate Trade”
(or “Fluid Liquidity Zones - CHoCH | Xcelerate Trade”)
Use SUPPLY / DEMAND zones + CHoCH / market structure first, then OF labels as confirmation.
CONCEPT
Order flow tools help traders read aggression and reaction around levels. On PulseWire, those ideas are approximated from open/high/low/close and volume.
Use this indicator as confirmation after higher-level context (supply/demand or liquidity zones + market structure), not as a standalone entry system.
GOLDEN RULE
Zone (SUPPLY/DEMAND) + structure first → then OF1/OF2/OF3 as confirmation — never the reverse.
Recommended timeframes: 15m–1h. Lower timeframes (1m/3m) are noisier and produce more false signals.
HOW THE SETUPS WORK
OF1 — CONTINUATION (cyan)
Idea: trend + stacked impulse + pullback + continuation.
Long OF1 when:
1) Bull bias (HH/HL structure + optional HTF up filter)
2) A bullish impulse / stacked strong bars existed
3) Price pulled back into the impulse zone
4) Confirmation (bullish bar / positive delta proxy)
Short OF1 is the mirror for bearish continuation.
OF2 — ABSORPTION REVERSAL (violet)
Idea: sweep of a level + absorption + reclaim.
Long OF2 when:
1) Sweep below a low / level (wick down)
2) Absorption (high volume, little progress)
3) Reclaim above the level with upside aggression
Short OF2 is the mirror after a sweep above a high.
OF3 — BREAK & RETEST (green long / red short)
Idea: volume break → retest → rejection.
Long OF3: break up → retest broken level as support → rejection up.
Short OF3: break down → retest as resistance → rejection down.
FEATURES
• Toggle OF1 / OF2 / OF3 independently
• Structure bias with optional HTF filter for OF1
• Volume / delta / imbalance / absorption proxies
• Optional break level lines
• Live dashboard (bias, delta proxy, stack status, setup wait/active)
• Alerts for each OF1/OF2/OF3 long and short condition
HOW TO USE (WITH FLUID LIQUIDITY ZONES)
1) Read bias / structure (HH HL / LH LL, CHoCH) for higher-level direction
2) Note where price is: DEMAND = long bias area, SUPPLY = short bias area
3) Then use OF labels:
• DEMAND + OF2 or green OF3 → long candidates
• SUPPLY + OF2 or red OF3 → short candidates
• OF1 only with the trend (not counter-trend in a range)
4) Dashboard “wait” means no signal on the current bar; older labels remain on history
SKIP / AVOID
• Bias = RANGE and you are not clearly on a zone
• Labels in the middle of a range with no level
• OF1 against SUPPLY/DEMAND
• Chaotic OF1+OF2+OF3 overlap with no clear level
• Acting on a label alone with no zone/structure context
EXAMPLES
• DEMAND + green OF3 / OF2 → look for LONG after reclaim/confirm
• SUPPLY + red OF3 / OF2 → look for SHORT
• Cyan OF1 in uptrend, pullback into DEMAND → continuation LONG
• Label only, no zone/structure → do not enter
LIMITATIONS
• This is not real footprint / DOM / bid-ask data. Signals are proxies and can be wrong.
• Especially noisy on 1m/3m charts.
• The script does not place trades and does not guarantee results.
• Always combine with your own risk management and market context.
Indicator
Daily Bias Liquidity Profiler [MarkitTick]💡 This advanced analytical framework is engineered to decode market structure, track liquidity sweeps, and map volatility profiles on an intraday basis. Built natively for the sophisticated Pine Script version 6 environment, this indicator transcends basic charting by aggregating Previous Day metrics, session-specific liquidity pools, Fair Value Gap (FVG) confluences, and probabilistic bias models into a single, cohesive visual interface. It is designed for quantitative and algorithmic traders who require a deep understanding of market mechanics, offering unparalleled insight into where resting liquidity is likely positioned and how daily volatility is structured based on pure statistical variance.
✨ Originality and Utility
● Comprehensive Architectural Design
Most standard technical indicators focus on a single mathematical transformation, such as moving averages or simple momentum oscillators. The originality of this profiler lies in its multi-faceted approach, unifying advanced price action concepts that typically require multiple separate scripts. By leveraging Pine Script version 6 User-Defined Types (UDTs), the script maintains an incredibly lightweight footprint while calculating complex, interconnected market states without degrading chart performance.
● Algorithmic Session Tracking
The utility of the indicator is profoundly evident in its automated handling of time-based liquidity. Rather than manually drawing boxes around the Asian and London sessions, the script dynamically profiles these periods. It treats their boundaries not as mere historical artifacts, but as active, magnetic liquidity pools that drive future price action.
● Real-Time Bias Computation
This tool introduces a dynamic probability engine that continuously evaluates the likelihood of price sweeping the Previous Day High or Previous Day Low based on current opening momentum and accumulated volatility. This gives traders a statistical edge in determining their daily directional bias without relying on subjective chart patterns.
🔬 Methodology and Concepts
● Daily Range Profiling
At the core of the script's methodology is the Daily Profile engine. It systematically captures the Previous Day High, Previous Day Low, and Previous Day Close. These levels represent the absolute boundaries of yesterday's value area. The script calculates the total range of the previous day to establish a baseline for current-day expectations and statistical deviation limits.
● Session Liquidity Engineering
The script defines distinct macro-economic windows, specifically targeting the Asian and London trading sessions.
Asian Session Consolidation: Often characterized by tight ranges, the Asian session builds resting liquidity above its highs and below its lows. The algorithm tracks these exact price levels dynamically.
London Session Expansion: The script monitors the London open for initial expansion moves that frequently sweep the liquidity accumulated during the Asian session, triggering internal alerts when these specific thresholds are pierced.
● Fair Value Gap (FVG) Confluence
Market imbalances are identified through a precise Fair Value Gap detection algorithm. The script does not just highlight every random gap on the chart; it specifically looks for FVG formations that align with the directional bias and occur in proximity to session sweeps. This creates a high-probability confluence signal, indicating that the market is rapidly moving to rebalance price delivery.
● Advanced Volatility Metrics
Volatility is not measured through standard lagging indicators. Instead, the script utilizes an Average Daily Range (ADR) calculation. It dynamically tracks the percentage of the ADR that has been fulfilled during the current day. By calculating how many bars it typically takes to reach standard deviation milestones of the ADR, the script provides a predictive model for intraday exhaustion.
● Dynamic Bias Scoring Engine
The indicator calculates a running score to determine the daily bias. It awards positive and negative weights based on several factors: the location of the current price relative to the daily open, whether a session liquidity sweep has occurred, the presence of FVG confluences, and the proximity to the Previous Day's extremes. This score is translated into a probability percentage for sweeping either the high or the low.
🎨 Visual Guide
● Liquidity Zones and Range Boxes
Session Boxes: Distinct, shaded rectangular regions drawn over the chart to encapsulate the high and low bounds of the Asian and London sessions. These boxes visually isolate the accumulation phases.
Range Zone Boxes: Projected areas above and below the current price action representing high-probability reversal or expansion targets based on the ADR calculations.
● Structural Lines
Previous Day Boundaries: Solid, distinct horizontal lines marking the exact price levels of the Previous Day High and Previous Day Low.
Midlines: Subtler horizontal lines traversing the center of the calculated range zones to indicate equilibrium levels where price action may stall or pivot.
● Dynamic Labels and Alerts
Sweep Labels: Textual annotations that appear exactly when price pierces a session boundary or previous day extreme, explicitly confirming a liquidity sweep.
Bias State Text: A dedicated label displaying the current statistical bias, updating dynamically as volatility metrics shift throughout the trading day.
📖 How to Use
● Establishing Directional Bias
Begin your analysis by referencing the Bias State metric displayed on the chart. If the script calculates a high probability of sweeping the Previous Day High, prioritize bullish setups. Conversely, a high probability for the Previous Day Low dictates a bearish posture. Do not fight the algorithmic bias without significant contradicting evidence from higher timeframes.
● Executing the Sweep and Reverse
Monitor the Asian and London session boxes. A prime setup occurs when price aggressively breaks outside a session box and immediately faces strong rejection. This false breakout is the trigger for a mean-reversion trade targeting the opposite side of the session range. Look for the script's sweep labels to confirm the level has been compromised.
● Filtering with Volatility
Consult the Volatility Metrics before entering a trade. If the current daily range has already fulfilled a high percentage of the Average Daily Range (ADR), the probability of further directional expansion diminishes. In such cases, avoid breakout trades and look for exhaustion reversals at the projected Range Zone extremes.
● Utilizing FVG Confluence
When a sweep occurs, wait for the algorithm to highlight a valid Fair Value Gap in the opposite direction of the sweep. Enter the market on the retracement into this FVG, placing stop losses just beyond the sweep extreme for optimal risk-to-reward ratios.
⚙️ Inputs and Settings
● Time and Session Configuration
Asia Session Hours: Allows the user to precisely define the start and end times of the Asian session based on their specific exchange and timezone.
London Session Hours: Configurable inputs to match the precise opening and closing dynamics of the European market.
● Volatility Parameters
ADR Lookback Length: The historical window (number of days) used to calculate the Average Daily Range. A shorter lookback makes the indicator more responsive to recent volatility spikes, while a longer lookback provides a smoother, more stable expected range.
● Visual Toggles
Show Session Boxes: A boolean toggle to enable or disable the shaded background for trading sessions, allowing for a cleaner chart if only the boundary lines are desired.
Show Sweep Labels: Allows users to turn off the text annotations for liquidity sweeps to reduce visual clutter during highly volatile, choppy market conditions.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Auction Market Theory and Liquidity
The foundational logic of this script is deeply rooted in Auction Market Theory. Financial markets operate as a continuous dual-auction process, seeking areas of high liquidity to facilitate trade execution for large-scale participants. The script mathematically models this by isolating session highs and lows, recognizing them as high-density zones for stop-loss orders and breakout triggers.
● Statistical Variance and Range Forecasting
The Volatility Metrics engine relies on historical variance. By computing the Average Daily Range over a predefined dataset, the script applies a simplified standard deviation model to predict the expected boundaries of the current day. This creates a probabilistic bell curve of expected price distribution, where the extremes of the ADR represent the tails of the distribution curve, indicating areas of high mean-reversion probability.
● Microstructural Order Flow Imbalances
The Fair Value Gap (FVG) detection logic is an algorithmic representation of order flow imbalance. In academic market microstructure, when price moves with extreme velocity, it creates a void in the bid-ask spread where only one side of the market was effectively matched. The script mathematically identifies these structural inefficiencies, utilizing them as high-probability zones for future price retracements, as the market naturally seeks to re-auction these inefficiently traded areas.
● Probabilistic Modeling
The bias engine utilizes a rudimentary form of multi-factor linear weighting. By assigning specific values to isolated market events (e.g., crossing the open price, sweeping a specific session), the model computes a composite score. This deterministic approach strips away emotional trading by replacing it with a quantifiable metric that guides directional expectations.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Multi-Session Volume Profile Suite [MarkitTick]💡 This indicator provides a sophisticated, institutional-grade Volume Profile analysis suite that renders multiple temporal profiles simultaneously. It is designed for traders utilizing Auction Market Theory who require a holistic view of where value is being established across Daily, Weekly, and Monthly timeframes, alongside custom intraday sessions. By bypassing standard built-in functions in favor of a custom array-based calculation engine, this tool offers granular control over Value Area logic, Point of Control (POC) migration, and multi-timeframe confluence detection.
✨ Originality and Utility
Standard Volume Profile tools often limit traders to a single timeframe or the visible range of the chart. This creates a fragmented view of the market, where a trader might see the daily value but miss the context of the weekly or monthly auction.
This script solves that problem by layering three distinct higher-timeframe profiles (Daily, Weekly, Monthly) plus three customizable intraday session profiles onto a single chart.
● Key Differentiators
Confluence Detection Engine: The script mathematically calculates when the Points of Control (POC) of different timeframes overlap (e.g., Daily POC inside Weekly POC). It explicitly highlights these high-probability zones with specific labels (e.g., "TRIPLE CONFLUENCE"), automating the search for key support/resistance levels.
POC Migration Tracking: Unlike static profiles, this tool tracks the "Shift" of the POC. It visualizes whether value is migrating higher (▲), lower (▼), or remaining neutral (=) compared to the previous period, providing immediate insight into the trend's acceptance.
Synthetic Chart Protection: The script includes logic to detect and prevent usage on non-standard chart types like Heikin Ashi or Renko, ensuring that the volume data processed is accurate and not subject to the repainting often found in synthetic OHLC variations.
🔬 Methodology and Concepts
The core engine relies on a custom implementation of the Volume Profile formula using dynamic arrays. It does not simply pull pre-calculated data but processes the tick volume of the underlying asset relative to price action.
• Volumetric Binning
The script divides the price range of a specific period (e.g., a Day) into a user-defined number of "rows" (bins). As price trades within a specific bin, the corresponding volume is accumulated.
Point of Control (POC): The bin with the highest accumulated volume is identified as the POC. This represents the "Fair Value" or the mode of the distribution for that period.
Value Area (VA): The script calculates the total volume of the profile and then identifies the range surrounding the POC that contains a specific percentage (default 70%) of that volume. It uses a dual-scanning algorithm that expands upwards or downwards from the POC based on which adjacent row has higher volume, mimicking the auction process of testing prices.
• Exact-Anchor Pivots
Simultaneously, the script tracks "Exact-Anchor" pivots. Unlike standard pivots that settle at the close, these track the absolute High and Low of the period (Daily/Weekly/Monthly) in real-time and extend them until a new period begins.
🎨 Visual Guide
The indicator uses a color-coded hierarchy to distinguish between timeframes. Understanding this visual language is critical for interpreting the data.
● Profile Hierarchy (Default Theme)
Daily Profile (Yellow/Gold): Represents the immediate, short-term auction.
Solid Line: Daily POC.
Dotted Line: Daily Value Area High (VAH) and Low (VAL).
Weekly Profile (Blue): Represents the intermediate auction. A solid Blue line indicates the Weekly POC.
Monthly Profile (Purple): Represents the macro auction. A solid Purple line indicates the Monthly POC.
● Labels and Symbols
Right-Side Labels: At the end of profile lines, text labels display the exact price of the POC.
Shift Arrows (▲ / ▼): Located inside the POC label, these arrows indicate the direction the POC has moved relative to the previous period's POC. An Up arrow (▲) suggests buyers are accepting higher prices.
Confluence Labels: If enabled, a text box appears near price action stating "POC CONFLUENCE" or "TRIPLE CONFLUENCE" when the POCs of different timeframes align within a tight margin.
Block Symbol (⬛): A small block icon may appear above bars to denote the center of a specific session's time window.
● Pivot Lines
Orange Lines: Previous Daily High (PDH) and Low (PDL).
Green Dashed Lines: Previous Weekly High (PWH) and Low (PWL).
Red Dotted Lines: Previous Monthly High (PMH) and Low (PML).
White Dashed Line: New York Midnight Open price (if enabled).
📖 How to Use
This suite is designed for "Contextual Trading." It answers the question: Where are we relative to value?
• Trend Acceptance
Observe the Shift Arrows on the POC labels. In a healthy uptrend, you should see a sequence of Daily and Weekly profiles with (▲) arrows, indicating that the market is validating higher prices as fair value. If price rises but the POC remains lower or shifts down, it may indicate a "weak high" or a potential reversal (divergence between price and value).
• Support and Resistance
The POC lines act as high-probability support and resistance. Price returning to a Weekly (Blue) or Monthly (Purple) POC often results in a reaction, as these are areas of significant historical agreement between buyers and sellers.
• The Confluence Play
Pay special attention when the "Confluence" label appears. When a Daily POC aligns with a Weekly or Monthly POC, that specific price level possesses reinforced structural importance. A rejection from such a level is a strong signal; a breakout through such a level often leads to an explosive move as value transitions rapidly.
⚙️ Inputs and Settings
The script is highly customizable via the settings menu.
● General Settings
Row Resolution: Determines the granularity of the profile. Higher numbers (e.g., 100) create smoother, more detailed profiles but use more calculation resources.
Value Area %: Default is 70.0, representing the standard deviation of value.
Show POC Shift: Toggles the (▲/▼) comparison logic.
● Profile Scope
Show Daily/Weekly/Monthly: Checkboxes to individually enable or disable specific timeframe profiles.
Session Lookback: Controls how many historical days/weeks the profiles are kept on the chart.
● Pivots (PDH/PMH/NYM)
Show Pivots: Enables the High/Low lines for previous periods.
Show NY Midnight: Specifically toggles the opening price of the New York session (00:00 EST).
● Alerts
Approach Distance: Sets the sensitivity (in ticks) for alerts when price nears a key POC level.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator is grounded in Auction Market Theory (AMT) and statistical distribution analysis.
• The Market as a Mechanism
AMT postulates that the primary purpose of the market is to facilitate trade. Price advertises opportunity, while Time regulates the opportunity. Volume is the validation of that price. When the market spends significant time and transacts significant volume at a specific level, it establishes "Value."
• Gaussian Distribution and Central Limit Theorem
A Volume Profile is essentially a histogram of volume over price, often resembling a Gaussian (Normal) Distribution or "Bell Curve" when the market is balanced.
POC (Mode): The peak of the curve. Mathematically, this is the mode of the dataset—the price occurring with the highest frequency (volume).
Value Area (Standard Deviation): In a normal distribution, approximately 68.2% of data points fall within one standard deviation of the mean. This script defaults to a 70% Value Area to approximate this statistical boundary. Prices outside this area are considered statistically significant anomalies or "imbalanced."
• Confluence and Probability
The "Confluence" feature leverages the intersection of independent datasets. If the mode (POC) of a short-term distribution (Daily) aligns with the mode of a long-term distribution (Weekly), the probability of that price representing "True Value" increases exponentially. This aligns with statistical principles where overlapping data clusters suggest a stronger underlying signal amidst market noise.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Daily Bias Trade Manager [MarkitTick]💡 The Daily Bias Trade Manager is a sophisticated technical analysis suite designed to automate the identification of high-probability intraday setups based on liquidity concepts and structural shifts. By synthesizing Previous Day High/Low (PDH/PDL) interactions with momentum confirmation and strict risk management protocols, this tool assists traders in navigating the "Daily Bias." It moves beyond simple signal generation by offering a complete trade management visualization system, projecting entries, stop losses, and take-profit levels directly onto the chart in real-time.
✨ Originality and Utility
This script distinguishes itself by integrating institutional price action theory—specifically Liquidity Sweeps and Change in State of Delivery (CISD)—with mechanical filtering. While many indicators simply highlight highs and lows, the Daily Bias Trade Manager validates these levels by analyzing what happens *after* price tests them.
It solves a common problem for intraday traders: "Analysis Paralysis." By automating the detection of structure breaks (MSS) and Fair Value Gaps (FVG) following a sweep of daily liquidity, it provides an objective framework for entry. Furthermore, the built-in "Position Box" feature removes the guesswork from trade execution by instantly calculating risk-to-reward ratios and visualizing them, allowing traders to see the feasibility of a trade before execution.
🔬 Methodology and Concepts
The core logic operates on a sequential detection model:
Liquidity Identification: The script first plots the Previous Day High (PDH) and Previous Day Low (PDL). These are critical institutional reference points where stop-loss orders (liquidity) often reside.
The Sweep: A "Sweep" is confirmed when price breaches a PDH/PDL but fails to sustain the breakout, closing back inside the previous day's range. This suggests a "Fake-out" or liquidity grab, often a precursor to a reversal.
Change in State of Delivery (CISD): Following a sweep, the script monitors local market structure. It looks for a decisive close past a recent swing point (Swing High for shorts, Swing Low for longs) within a user-defined bar window. This confirms that the counter-trend move has momentum.
Confluence Filtering: To reduce false positives, the engine applies optional filters:
RVOL (Relative Volume): Ensures the sweep occurred on significant volume (Climax behavior).
RSI Momentum: Verifies that momentum supports the reversal direction.
Trend Filter: Uses a long-term EMA to ensure trades align with the broader market direction.
Entry Model: Upon validation, the script calculates an entry at the close (or optionally at a Fair Value Gap), places a Stop Loss at the sweep extreme, and projects three Take Profit targets based on configurable R:R ratios.
🎨 Visual Guide
The indicator uses a distinct color-coded system to keep the chart clean yet informative:
● Liquidity Levels & Sweeps
Orange/Blue Lines: Represent the PDH (Previous Day High) and PDL (Previous Day Low).
Teal Shaded Zones: Indicate a "Buy-Side Sweep" (Price took highs and rejected).
Red Shaded Zones: Indicate a "Sell-Side Sweep" (Price took lows and rejected).
● Position Management Boxes
When a signal triggers, a structured box appears:
Solid Gray Line: The theoretical Entry Price.
Solid Red Line: The Stop Loss (SL), typically placed at the swing high/low of the sweep.
Dashed Blue Lines: Represent TP1, TP2, and TP3 targets based on Reward-to-Risk settings.
Labels: Data tags on the right side of the box show exact price coordinates for Entry, SL, and Targets.
● Signals & Clouds
Green "BUY" Labels: Appear below the bar when a bullish sweep and structural shift are confirmed.
Red "SELL" Labels: Appear above the bar when a bearish sweep is validated.
Yellow Clouds: Highlight Fair Value Gaps (FVG) used for entry confluence or retests.
● Multi-Timeframe (MTF) Dashboard
A panel (default: Top Right) displays the status of up to three higher timeframes.
Trend: Shows "BULL" or "BEAR" based on EMA alignment.
Liquidity: Indicates if the timeframe is "Taking Buy Liq", "Taking Sell Liq", or "Inside Range".
📖 How to Use
● Bullish Reversal Setup
Wait for price to drop below the Blue PDL Line.
Look for a Red Sell-Side Sweep Zone to form, indicating price has rejected lower prices.
Wait for the Green BUY Signal . This confirms a shift in structure (CISD) back to the upside.
Observe the Position Box. If the Risk/Reward is favorable (targets are within reasonable reach), consider the trade.
Optional: Use the "Dynamic Targets" setting to target the previous swing high instead of a fixed ratio.
● Bearish Reversal Setup
Wait for price to rally above the Orange PDH Line.
Look for a Teal Buy-Side Sweep Zone .
Wait for the Red SELL Signal confirming the rejection.
Ensure the dashboard shows alignment (e.g., Higher Timeframe Trend is Bearish) for higher probability.
● Trade Management
Enable the "ATR Trailing Stop" in settings to have the Stop Loss line dynamically adjust as price moves in your favor, locking in potential gains.
⚙️ Inputs and Settings
● General & Display
Show Daily Liquidity: Toggles the PDH/PDL lines.
Max Signals/Zones: Limits the visual clutter by restricting historical shapes.
● Detection Logic
Swing Detection Length: Controls the sensitivity of pivot points. Higher numbers = fewer, more significant swings.
CISD Window: How many bars after a sweep are allowed for the structure shift to occur.
Use FVG Entry: If true, the signal waits for a retest of a gap rather than entering immediately at the close.
● Filters
Volume (RVOL): Requires the sweep candle volume to be X times larger than average.
Trend Filter: Only allows Buy signals above the EMA and Sell signals below it.
Session Filter: Restricts signals to specific hours (e.g., New York Killzone).
● Targets & Management
Target R:R: Sets the multiplier for TP1, TP2, TP3 relative to the stop loss distance.
Use Dynamic Targets: Targets structural liquidity (Previous Highs/Lows) instead of fixed math ratios.
ATR Trailing Stop: Activates the trailing stop mechanism.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator is grounded in the principles of Market Microstructure and Mean Reversion theory .
1. Liquidity Pools & Stop Runs:
Academic literature on market microstructure suggests that order flow clusters around obvious visual references (PDH/PDL). Large market participants often utilize this "resting liquidity" to fill large block orders with minimal slippage. The "Sweep" logic detects this absorption phase.
2. Volatility Breakout vs. Fake-out:
The script differentiates between a genuine breakout and a mean-reverting "fake-out" by analyzing the Close relative to the Range . A close back within the prior day's range after a breach signifies a failure of auction in the new territory, statistically increasing the probability of a reversion to the mean (equilibrium).
3. Momentum Validation (RSI & RVOL):
By integrating Relative Volume (RVOL) and RSI, the script applies statistical significance testing to the price action. High volume at a range extreme without price progress (the sweep) indicates "Stopping Volume" or absorption, a key concept in Volume Spread Analysis (VSA).
🙏 Gratitude
I would like to express my gratitude to harry040708 for sharing the insightful idea that made this script possible.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Smart Money Flow Oscillator [MarkitTick]💡This script introduces a sophisticated method for analyzing market liquidity and institutional order flow. Unlike traditional volume indicators that treat all market activity equally, the Smart Money Flow Oscillator (SMFO) employs a Logic Flow Architecture (LFA) to filter out market noise and "churn," focusing exclusively on high-impact, high-efficiency price movements. By synthesizing price action, volume, and relative efficiency, this tool aims to visualize the accumulation and distribution activities that are often attributed to "smart money" participants.
✨ Originality and Utility
Standard indicators like On-Balance Volume (OBV) or Money Flow Index (MFI) often suffer from noise because they aggregate volume based simply on the close price relative to the previous close, regardless of the quality of the move. This script differentiates itself by introducing an "Efficiency Multiplier" and a "Momentum Threshold." It only registers volume flow when a price move is considered statistically significant and structurally efficient. This creates a cleaner signal that highlights genuine supply and demand imbalances while ignoring indecisive trading ranges. It combines the trend-following nature of cumulative delta with the mean-reverting insights of an In/Out ratio, offering a dual-mode perspective on market dynamics.
🔬 Methodology
The underlying calculation of the SMFO relies on several distinct quantitative layers:
• Efficiency Analysis
The script calculates a "Relative Efficiency" ratio for every candle. This compares the current price displacement (body size) per unit of volume against the historical average.
If price moves significantly with relatively low volume, or proportional volume, it is deemed "efficient."
If significant volume occurs with little price movement (churn/absorption), the efficiency score drops.
This score is clamped between a user-defined minimum and maximum (Efficiency Cap) to prevent outliers from distorting the data.
• Momentum Thresholding
Before adding any data to the flow, the script checks if the current price change exceeds a volatility threshold derived from the previous candle's open-close range. This acts as a gatekeeper, ensuring that only "strong" moves contribute to the oscillator.
• Variable Flow Calculation
If a move passes the threshold, the script calculates the flow value by multiplying the Typical Price and Volume (Money Flow) by the calculated Efficiency Multiplier.
Bullish Flow: Strong upward movement adds to the positive delta.
Bearish Flow: Strong downward movement adds to the negative delta.
Neutral: Bars that fail the momentum threshold contribute zero flow, effectively flattening the line during consolidation.
• Calculation Modes
Cumulative Delta Flow (CDF): Sums the flow values over a rolling period. This creates a trend-following oscillator similar to OBV but smoother and more responsive to real momentum.
In/Out Ratio: Calculates the percentage of bullish inflow relative to the total absolute flow over the period. This oscillates between 0 and 100, useful for identifying overextended conditions.
📖 How to Use
Traders can utilize this oscillator to identify trend strength and potential reversals through the following signals:
• Signal Line Crossovers
The indicator plots the main Flow line (colored gradient) and a Signal line (grey).
Bullish (Green Cloud): When the Flow line crosses above the Signal line, it suggests rising buying pressure and efficient upward movement.
Bearish (Red Cloud): When the Flow line crosses below the Signal line, it suggests dominating selling pressure.
• Divergences
The script automatically detects and plots divergences between price and the oscillator:
Regular Divergence (Solid Lines): Suggests a potential trend reversal (e.g., Price makes a Lower Low while Oscillator makes a Higher Low).
Hidden Divergence (Dashed Lines): Suggests a potential trend continuation (e.g., Price makes a Higher Low while Oscillator makes a Lower Low).
"R" labels denote Regular, and "H" labels denote Hidden divergences.
• Dashboard
A dashboard table is displayed on the chart, providing real-time metrics including the current Efficiency Multiplier, Net Flow value, and the active mode status.
• In/Out Ratio Levels
When using the Ratio mode:
Values above 50 indicate net buying pressure.
Values below 50 indicate net selling pressure.
Approaching 70 or 30 can indicate overbought or oversold conditions involving volume exhaustion.
⚙️ Inputs and Settings
Calculation Mode: Choose between "Cumulative Delta Flow" (Trend focus) or "In/Out Ratio" (Oscillator focus).
Auto-Adjust Period: If enabled, automatically sets the lookback period based on the chart timeframe (e.g., 21 for Daily, 52 for Weekly).
Manual Period: The rolling lookback length for calculations if Auto-Adjust is disabled.
Efficiency Length: The period used to calculate the average body and volume for the efficiency baseline.
Eff. Min/Max Cap: Limits the impact of the efficiency multiplier to prevent extreme skewing during anomaly candles.
Momentum Threshold: A factor determining how much price must move relative to the previous candle to be considered a "strong" move.
Show Dashboard/Divergences: Toggles for visual elements.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator represents a hybrid synthesis of academic Market Microstructure theory and classical technical analysis. It utilizes an advanced algorithm to quantify "Price Impact," leveraging the following theoretical frameworks:
• 1. The Amihud Illiquidity Ratio (2002)
The core logic (calculating body / volume) functions as a dynamic implementation of Yakov Amihud’s Illiquidity Ratio. It measures price displacement per unit of volume. A high efficiency score indicates that "Smart Money" has moved the price significantly with minimal resistance, effectively highlighting liquidity gaps or institutional control.
• 2. Kyle’s Lambda (1985) & Market Depth
Drawing from Albert Kyle’s research on market microstructure, the indicator approximates Kyle's Lambda to measure the elasticity of price in response to order flow. By analyzing the "efficiency" of a move, it identifies asymmetries—specifically where price reacts disproportionately to low volume—signaling potential manipulation or specific Market Maker activity.
• 3. Wyckoff’s Law of Effort vs. Result
From a classical perspective, the algorithm codifies Richard Wyckoff’s "Effort vs. Result" logic. It acts as an oscillator that detects anomalies where "Effort" (Volume) diverges from the "Result" (Price Range), predicting potential reversals.
• 4. Quantitative Advantage: Efficiency-Weighted Volume
Unlike linear indicators such as OBV or Chaikin Money Flow—which treat all volume equally—this indicator (LFA) utilizes Efficiency-Weighted Volume. By applying the efficiency_mult factor, the algorithm filters out market noise and assigns higher weight to volume that drives structural price changes, adopting a modern quantitative approach to flow analysis.
● Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Aggregated Open InterestAggregates Open Interest data across 10 major crypto exchanges: Binance, Bybit, Kraken, MEXC, Bitget, BingX, Coinbase, Deribit, HTX, and Crypto.com.
Displays total market OI with candlesticks on intraday timeframes and a step line on daily+ timeframes. Color-coded: teal for increasing OI, red for decreasing OI.
Toggle individual exchanges on/off in settings to customize your view.
With this indicator there is no need to be on the perpetual chart of the asset for the open interest to be displayed. Indicator
Cluster Reversal Zones📌 Cluster Reversal Zones – Smart Market Turning Point Detector
📌 Category : Public (Restricted/Closed-Source) Indicator
📌 Designed for : Traders looking for high-accuracy reversal zones based on price clustering & liquidity shifts.
🔍 Overview
The Cluster Reversal Zones Indicator is an advanced market reversal detection tool that helps traders identify key turning points using a combination of price clustering, order flow analysis, and liquidity tracking. Instead of relying on static support and resistance levels, this tool dynamically adjusts to live market conditions, ensuring traders get the most accurate reversal signals possible.
📊 Core Features:
✅ Real-Time Reversal Zone Mapping – Detects high-probability market turning points using price clustering & order flow imbalance.
✅ Liquidity-Based Support/Resistance Detection – Identifies strong rejection zones based on real-time liquidity shifts.
✅ Order Flow Sensitivity for Smart Filtering – Filters out weak reversals by detecting real market participation behind price movements.
✅ Momentum Divergence for Confirmation – Aligns reversal zones with momentum divergences to increase accuracy.
✅ Adaptive Risk Management System – Adjusts risk parameters dynamically based on volatility and trend state.
🔒 Justification for Mashup
The Cluster Reversal Zones Indicator contains custom-built methodologies that extend beyond traditional support/resistance indicators:
✔ Smart Price Clustering Algorithm: Instead of plotting fixed support/resistance lines, this system analyzes historical price clustering to detect active reversal areas.
✔ Order Flow Delta & Liquidity Shift Sensitivity: The tool tracks real-time order flow data, identifying price zones with the highest accumulation or distribution levels.
✔ Momentum-Based Reversal Validation: Unlike traditional indicators, this tool requires a momentum shift confirmation before validating a potential reversal.
✔ Adaptive Reversal Filtering Mechanism: Uses a combination of historical confluence detection + live market validation to improve accuracy.
🛠️ How to Use:
• Works well for reversal traders, scalpers, and swing traders seeking precise turning points.
• Best combined with VWAP, Market Profile, and Delta Volume indicators for confirmation.
• Suitable for Forex, Indices, Commodities, Crypto, and Stock markets.
🚨 Important Note:
For educational & analytical purposes only.
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Activity and Volume Orderflow Profile [AlgoAlpha]🔍 Activity and Volume Orderflow Profile 📊
🚀 Unlock the power of market order flow analysis with the Activity and Volume Orderflow Profile indicator by AlgoAlpha . This versatile tool helps you visualize and understand the dynamics of buying and selling pressure within a specified lookback period. Perfect for traders who want to dig deeper into volume-based market insights!
Key Features:
📊 Profile Type Options : Choose between "Comparison" and "Net Order Flow" to analyze market activity based on your preferred method.
🔎 Adjustable Lookback Period : Customize the lookback period to fit your trading strategy.
🎨 Flexible Appearance Settings : Toggle the display of the profile, lookback period visualization, and heatmap to suit your preferences.
🖍 Color Customization : Set your preferred colors for up and down volumes.
🕹 High Activity Highlight : Use the minimum transparency setting to highlight areas of significant activity.
Quick Guide to Using the Activity and Volume Orderflow Profile
🛠 Add the Indicator: Add the indicator to your favorites. Customize settings like profile type, lookback period, and resolution to fit your trading style.
📊 Market Analysis: Use the profile to identify areas of high buying or selling pressure. In "Comparison" mode, look for significant volume differences; in "Net Order Flow" mode, focus on net volume changes. Additionally, you can use the activity heatmap to find key levels that can act as support and resistance as price is likely to react to the zones as indicated by the heatmap.
How it Works:
The indicator operates by first gathering data on high and low prices, as well as buy and sell volumes, over a user-defined lookback period. It then calculates the maximum and minimum prices during this period and divides this range into bins based on the chosen resolution. For each bin, it computes the total volume of buy and sell orders. In "Comparison" mode, it displays side-by-side boxes representing buy and sell volumes, while in "Net Order Flow" mode, it shows the net volume difference. The indicator visually presents these profiles on the chart with customizable colors, transparency levels, and the option to display a heatmap for enhanced volume activity insights.
Maximize your trading with the Activity and Volume Orderflow Profile from AlgoAlpha! 🚀✨ Indicator
OrderFlow Absorption IndicatorWhat it Does
The OrderFlow Absorption Indicator marks areas where the price absorbs a large volume of aggressive market trades. This indicates areas where price may bounce back due to large limit (resting) orders absorbing significant aggressor volume (market orders). Absorption can also be seen as "preventing" or "stopping" the other side from breaking through a price level (e.g. bids stopping an influx of sell market orders). Absorption may signal a change in sentiment, potentially leading to a pullback or reversal.
An Example of Absorption
Of course, it is not always the case that such bullish absorption will initiate a trend as the example above. The OrderFlow Absorption Indicator merely serves as a tool for spotting possible absorption points in the market which you can incorporate into your trading arsenal.
How it Works
The indicator actively monitors price changes and records volume accumulated at a price level. If the price bounces back to at least where it was before the current price move, the indicator records this as absorption, provided it meets the Volume Requirement and optional Time Requirement.
How to Use it
1. Set Parameters
Choose your desired tick size and volume filter value. If unsure, refer to the table on the top right of the chart for recommended values. An automatic volume limit filter mode is also available.
Automatic Limit Mode : Enable this mode to have the indicator automatically select a volume filter value. It calculates the standard deviation of the last n minutes of volume and multiplies it by a volume multiplier. You can adjust these parameters.
Higher Volume Filter : Setting a higher volume filter value results in fewer, but higher quality detections, reducing noise.
2. Enabling the Time Limit
Enabling the time limit further improves detection quality by filtering out price levels that can defend against quick, sudden aggressive orders, acting as confirmation and indicating strong sentiment and resilient liquidity.
3. Enabling Historical Data Absorption
The indicator can also detect absorption in historical data, though less accurately than in real-time due to OHLCV aggregation.
You can select the granularity of historical data.
Lower granularity (e.g., 1 second) : Provides more accurate detections but may slow down the indicator.
Higher granularity : Improves speed but reduces detection accuracy.
Other Features
Hovering : When hovering over an absorption point, the interface reveals the price where the absorption occurred, along with the volume absorbed by the bids and asks, as well as the volume filter value used.
Delta Mode : In Delta mode, the system calculates the difference between the volume absorbed by bids and asks, revealing points only when the absolute value of this difference exceeds the volume filter value. Especially useful for larger tick sizes.
Troubleshooting
If the indicator doesn't mark anything, it means the traded volume hasn't exceeded the set volume filter value within the specified price intervals(tick size) and time limit. Adjust these settings as necessary. Indicator
Standardized Orderflow [AlgoAlpha]Introducing the Standardized Orderflow indicator by AlgoAlpha. This innovative tool is designed to enhance your trading strategy by providing a detailed analysis of order flow and velocity. Perfect for traders who seek a deeper insight into market dynamics, it's packed with features that cater to various trading styles. 🚀📊
Key Features:
📈 Order Flow Analysis: At its core, the indicator analyzes order flow, distinguishing between bullish and bearish volume within a specified period. It uses a unique standard deviation calculation for normalization, offering a clear view of market sentiment.
🔄 Smoothing Options: Users can opt for a smoothed representation of order flow, using a Hull Moving Average (HMA) for a more refined analysis.
🌪️ Velocity Tracking: The indicator tracks the velocity of order flow changes, providing insights into the market's momentum.
🎨 Customizable Display: Tailor the display mode to focus on either order flow, order velocity, or both, depending on your analysis needs.
🔔 Alerts for Critical Events: Set up alerts for crucial market events like crossover/crossunder of the zero line and overbought/oversold conditions.
How to Use:
1. Setup: Easily configure the indicator to match your trading strategy with customizable input parameters such as order flow period, smoothing length, and moving average types.
2. Interpretation: Watch for bullish and bearish columns in the order flow chart, utilize the Heiken Ashi RSI candle calculation, and look our for reversal notations for additional market insights.
3. Alerts: Stay informed with real-time alerts for key market events.
Code Explanation:
- Order Flow Calculation:
The core of the indicator is the calculation of order flow, which is the sum of volumes for bullish or bearish price movements. This is followed by normalization using standard deviation.
orderFlow = math.sum(close > close ? volume : (close < close ? -volume : 0), orderFlowWindow)
orderFlow := useSmoothing ? ta.hma(orderFlow, smoothingLength) : orderFlow
stdDev = ta.stdev(orderFlow, 45) * 1
normalizedOrderFlow = orderFlow/(stdDev + stdDev)
- Velocity Calculation:
The velocity of order flow changes is calculated using moving averages, providing a dynamic view of market momentum.
velocityDiff = ma((normalizedOrderFlow - ma(normalizedOrderFlow, velocitySignalLength, maTypeInput)) * 10, velocityCalcLength, maTypeInput)
- Display Options:
Users can choose their preferred display mode, focusing on either order flow, order velocity, or both.
orderFlowDisplayCond = displayMode != "Order Velocity" ? display.all : display.none
wideDisplayCond = displayMode != "Order Flow" ? display.all : display.none
- Reversal Indicators and Divergences:
The indicator also includes plots for potential bullish and bearish reversals, as well as regular and hidden divergences, adding depth to your market analysis.
bullishReversalCond = reversalType == "Order Flow" ? ta.crossover(normalizedOrderFlow, -1.5) : (reversalType == "Order Velocity" ? ta.crossover(velocityDiff, -4) : (ta.crossover(velocityDiff, -4) or ta.crossover(normalizedOrderFlow, -1.5)) )
bearishReversalCond = reversalType == "Order Flow" ? ta.crossunder(normalizedOrderFlow, 1.5) : (reversalType == "Order Velocity" ? ta.crossunder(velocityDiff, 4) : (ta.crossunder(velocityDiff, 4) or ta.crossunder(normalizedOrderFlow, 1.5)) )
In summary, the Standardized Orderflow indicator by AlgoAlpha is a versatile tool for traders aiming to enhance their market analysis. Whether you're focused on short-term momentum or long-term trends, this indicator provides valuable insights into market dynamics. 🌟📉📈 Indicator
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