Order Blocks + Order-Flow ProxiesOrder Blocks + Order-Flow Proxies
This indicator combines structural analysis of order blocks with lightweight order-flow style proxies, providing a tool for chart annotation and contextual study. It is designed to help users visualize where significant structural shifts occur and how simple volume-based signals behave around those areas. The script does not guarantee profitable outcomes, nor does it issue financial advice. It is intended purely for research, learning, and discretionary use.
Conceptual Background
Order Blocks
An “order block” is a term often used to describe a zone on the chart where price left behind a significant reversal or imbalance before continuing strongly in the opposite direction. In practice, this can mean the last bullish or bearish candle before a strong breakout. Traders sometimes study these regions because they believe that unfilled resting orders may exist there, or simply because they mark important pivots in price structure. This indicator detects such moments by scanning for breaks of structure (BOS). When price pushes above or below recent swing levels with sufficient displacement, the script identifies the prior opposite candle as the potential order block.
Break of Structure
A break of structure in this context is defined when the closing price moves beyond the highest high or lowest low of a short lookback window. The script compares the magnitude of this break to an ATR-based displacement filter. This helps ensure that only meaningful moves are marked rather than small, random fluctuations.
Order-Flow Proxies
Traditional order flow analysis may use bid/ask data, footprint charts, or volume profiles. Because TradingView scripts cannot access true order-book data, this indicator instead uses proxy signals derived from standard chart data:
Delta (proxy): Estimated imbalance of buying vs. selling pressure, approximated using bar direction and volume.
Imbalance ratio: Normalizes delta by total volume, ranging between -1 and +1 in theory.
Cumulative Delta (CVD): Running sum of delta over time.
Effort vs. Result (EvR): A comparison between volume and actual bar movement, highlighting cases where large effort produced little result (or vice versa).
These are not real order-flow measurements, but rather simple mathematical constructs that mimic some of its logic.
How the Script Works
Detecting Break of Structure
The user specifies a swing length. When price closes above the recent high (for bullish BOS) or below the recent low (for bearish BOS), a potential shift is recorded.
To qualify, the breakout must exceed a displacement filter proportional to the ATR. This helps filter out weak moves.
Locating the Order Block Candle
Once a BOS is confirmed, the script looks back within a short window to find the last opposite-colored candle.
The high/low or open/close of that candle (depending on user settings) is marked as the potential order block zone.
Drawing and Maintaining Zones
Each order block is represented as a colored rectangle extending forward in time.
Bullish zones are teal by default, bearish zones are red.
Zones extend until invalidated (price closing or wicking beyond them, depending on user preference) or until a user-defined lifespan expires.
A pruning mechanism ensures that only the most recent set number of zones remain, preventing chart overload.
Monitoring Touches
The script checks whether the current bar’s range overlaps any existing order block.
If so, the “closest” zone is considered touched, and a label may appear on the chart.
Confirmation Filters
Touches can optionally be confirmed by order-flow proxies.
For a bullish confirmation, the following must align:
Imbalance ratio above threshold,
Delta EMA positive,
Effort vs. Result positive.
For a bearish confirmation, the opposite holds true.
Optionally, a higher-timeframe EMA slope filter can gate these confirmations. For example, a bullish confirmation may only be accepted if the higher-timeframe EMA is sloping upward.
Alerts
Users may create alerts based on conditions such as “bullish touch confirmed” or “bearish touch confirmed.”
Alerts can be gated to only fire after bar close, reducing intrabar noise.
Standard alertcondition calls are provided, and optional inline alert() calls can be enabled.
Inputs and Customization
Structure & OB
Swing length: Defines how many bars back to check for BOS.
ATR length & displacement factor: Adjust sensitivity for structural breaks.
Body vs. wick reference: Choose whether zones are based on candle bodies or full ranges.
Invalidation rule: Pick between wick breach or close beyond the level.
Lifespan (bars): Limit how long a zone remains active.
Max keep: Cap the number of zones stored to reduce clutter.
Order-Flow Proxies
Delta mode: Choose between “Close vs Previous Close” or “Body” for delta calculation.
EMA length: Smooths the delta/imbalance series.
Z-score lookback: Defines the averaging window for EvR.
Confirmation thresholds: Adjust the imbalance levels required for long/short confirmation.
Higher Timeframe Filter
Enable HTF gate: Optional filter requiring higher-timeframe EMA slope alignment.
HTF timeframe & EMA length: Configurable for context alignment.
Style
Colors and transparency for bullish and bearish zones.
Border color customization.
Alerts
Enable inline alerts: Optional direct calls to alert().
Alerts on bar close only: Helps avoid multiple firings during bar formation.
Practical Use
This tool is best seen as a way to annotate charts and to study how simple volume-derived signals behave near important structural levels. Some users may:
Observe whether order blocks line up with later price reactions.
Study how imbalance or cumulative delta conditions align with these zones.
Use it in a discretionary workflow to highlight areas of interest for deeper analysis.
Because the proxies are based only on candle OHLCV data, they are approximations. They cannot replace true depth-of-market analysis. Similarly, order block detection here is one specific algorithmic interpretation; other traders may define order blocks differently.
Limitations and Disclaimers
This indicator does not predict future price movement.
It does not access real order book or tick-by-tick data. All signals are derived from bar OHLCV.
Past performance of signals or zones does not guarantee future results.
The script is for educational and informational purposes only. It is not financial advice.
Users should test thoroughly, adjust parameters to their own instruments and timeframes, and use it in combination with broader analysis.
Summary
The Order Blocks + Order-Flow Proxies script is an experimental study tool that:
Detects potential order blocks using a displacement-filtered break of structure.
Marks these zones as boxes that persist until invalidation or expiry.
Provides lightweight order-flow-style proxies such as delta, imbalance, CVD, and effort vs. result.
Allows confirmation of zone touches through these proxies and optional higher-timeframe context.
Offers flexible customization, alerting, and chart-style options.
It is not a trading system by itself but rather a framework for studying price/volume behavior around structurally significant areas. With careful exploration, it can give users new ways to visualize market structure and to understand how simple flow-like measures behave in those contexts.
Search in scripts for "imbalance"
Footprint strategyThis strategy uses imbalance volume data obtained by footprint calculation technology.
There are two signals to enter a trade:
trend - the current buy volume on the bar is greater than the current sell volume and there is at least one imbalance line.
reversal - the current bar is falling, but the general market trend is positive (growing) and the imbalance buy volume exceeds the imbalance sell volume.
When any of the conditions is triggered, two orders are placed: Take Profit and Stop loss (according to the percentage value from the inputs).
A little advice on use:
The strategy performs best on a 15 minute timeframe.
It is necessary to choose acceptable values of Take Profit and Stop loss depending on the order of symbol prices.
Inputs related to the strategy:
Stop loss - percentage size of stop loss to exit the trade.
Enable stop loss - stop loss activation.
Take Profit - percentage size of Take Profit.
Calculation timeframe - this is the timeframe from which the volume will be collected for distribution to buy and sell (if you do not have access to the seconds chart, set here 1 minute, the accuracy will be less, but it will work).
Trend timeframe - this is the timeframe from which the trend will be calculated.
Enable trend - activation of trend calculation.
Inputs related to the calculation of footprints (collection of the volume of purchases and sales):
Count show bars - Number of bars from rt bar to history to calculate.
Display all available bars - Strategy calculation on all available bars (based on the available amount of data with reduced resolution (set in Calculation timeframe)).
Ticks Per Row - Sets the price step, calculated by multiplying the entered value by syminfo.mintick.
Auto - The automatic "Ticks Per Row" calculation is based on the first available bar and applied to subsequent bars.
Max row - sets the acceptable number of rows within a bar.
Imbalance Percent - A percentage coefficient to determine the Imbalance of price levels.
Stacked levels - And minimum number of consecutive Imbalance levels required to draw extended lines.
If you have suggestions for improving the strategy and adding new conditions for entering and exiting the trade, please write).
Market Trades PinescriptlabsThis algorithm is designed to emulate the true order book of exchanges by showing the quantity of transactions of an asset in real-time, while identifying patterns of high activity and volatility in the market through the analysis of volume and price movements. 📈 Below, I explain how to understand and use the information provided by the chart, along with the trades table:
Identification of High Activity Zones 🚀
The algorithm calculates the average volume and the rate of price change to detect areas with spikes in activity. This is visualized on the chart with labels "Volatility Spike Buy" and "Volatility Spike Sell":
Volatility Spike Buy: Indicates an unusual increase in volatility in the buying market, suggesting a potential surge in buying interest. 🟢
Volatility Spike Sell: Signals an increase in volatility in the selling market, which may indicate selling pressure or a sudden massive sell-off. 🔴
Market Trades Table 📋
The table provides a detailed view of the latest trades:
Price: Displays the price at which each trade was executed. 💵
Quantity (Traded): Indicates the amount of the asset traded. 💰
Type of Trade (Buy/Sell): Differentiates between buy (Buy) and sell (Sell) operations based on volume and strength. 🔄
Date and Time: Refers to the start of the calculated trading candle. ⏰
Recency: Identifies the most recent trade to facilitate tracking of current activity. 🔍
Analysis of Trade Imbalance ⚖️
The imbalance between buys and sells is calculated based on the volume of both. This indicator helps to understand whether the market has a tendency toward buying or selling, showing if there is greater strength on one side of the market.
A positive imbalance suggests more buying pressure. 📊
A negative imbalance indicates greater selling pressure. 📉
Volume Presentation
Visualizes the volume of buying and selling in the market, allowing the identification of buying or selling strength through the size of the volume candle. 🔍
Español :
"Este algoritmo está diseñado para emular el verdadero libro de órdenes de los intercambios al mostrar la cantidad de transacciones de un activo en tiempo real, mientras identifica patrones de alta actividad y volatilidad en el mercado a través del análisis de volumen y movimientos de precios. 📈 A continuación, explico cómo entender y usar la información proporcionada por el gráfico, junto con la tabla de operaciones:"
Identificación de Zonas de Alta Actividad 🚀
El algoritmo calcula el volumen promedio y la velocidad de cambio de precio para detectar zonas con picos de actividad. Esto se visualiza en el gráfico con etiquetas de "Volatility Spike Buy" y "Volatility Spike Sell":
Volatility Spike Buy: Indica un incremento inusual de volatilidad en el mercado de compra, sugiriendo un posible interés de compra elevado. 🟢
Volatility Spike Sell: Señala un incremento de volatilidad en el mercado de venta, lo cual puede indicar presión de venta o una venta masiva repentina. 🔴
Tabla de Operaciones en el Mercado (Market Trades) 📋
La tabla proporciona una vista detallada de las últimas operaciones:
Precio: Muestra el precio al cual se realizó cada operación. 💵
Cantidad (Transaccionada): Indica la cantidad del activo transaccionada. 💰
Tipo de operación (Buy/Sell): Diferencia entre operaciones de compra (Buy) y de venta (Sell), dependiendo del volumen y fuerza. 🔄
Fecha y Hora: Refleja el inicio de la vela de negociación calculada. ⏰
Recency: Identifica la operación más reciente para facilitar el seguimiento de la actividad actual. 🔍
Análisis de Desequilibrio de Operaciones (Imbalance) ⚖️
El desequilibrio entre compras y ventas se calcula con base en el volumen de ambas. Este indicador ayuda a entender si el mercado tiene una tendencia hacia la compra o venta, mostrando si hay una mayor fuerza en uno de los lados del mercado.
Un desequilibrio positivo sugiere más presión de compra. 📊
Un desequilibrio negativo indica mayor presión de venta. 📉
Presentación en Volumen
Visualiza el volumen de compra y venta en el mercado, permitiendo identificar mediante el tamaño de la vela de volumen la fuerza, ya sea compradora o vendedora. 🔍
Volume Based Sampling [BackQuant]Volume Based Sampling
What this does
This indicator converts the usual time-based stream of candles into an event-based stream of “synthetic” bars that are created only when enough trading activity has occurred . You choose the activity definition:
Volume bars : create a new synthetic bar whenever the cumulative number of shares/contracts traded reaches a threshold.
Dollar bars : create a new synthetic bar whenever the cumulative traded dollar value (price × volume) reaches a threshold.
The script then keeps an internal ledger of these synthetic opens, highs, lows, closes, and volumes, and can display them as candles, plot a moving average calculated over the synthetic closes, mark each time a new sample is formed, and optionally overlay the native time-bars for comparison.
Why event-based sampling matters
Markets do not release information on a clock: activity clusters during news, opens/closes, and liquidity shocks. Event-based bars normalize for that heteroskedastic arrival of information: during active periods you get more bars (finer resolution); during quiet periods you get fewer bars (coarser resolution). Research shows this can reduce microstructure pathologies and produce series that are closer to i.i.d. and more suitable for statistical modeling and ML. In particular:
Volume and dollar bars are a common event-time alternative to time bars in quantitative research and are discussed extensively in Advances in Financial Machine Learning (AFML). These bars aim to homogenize information flow by sampling on traded size or value rather than elapsed seconds.
The Volume Clock perspective models market activity in “volume time,” showing that many intraday phenomena (volatility, liquidity shocks) are better explained when time is measured by traded volume instead of seconds.
Related market microstructure work on flow toxicity and liquidity highlights that the risk dealers face is tied to information intensity of order flow, again arguing for activity-based clocks.
How the indicator works (plain English)
Choose your bucket type
Volume : accumulate volume until it meets a threshold.
Dollar Bars : accumulate close × volume until it meets a dollar threshold.
Pick the threshold rule
Dynamic threshold : by default, the script computes a rolling statistic (mean or median) of recent activity to set the next bucket size. This adapts bar size to changing conditions (e.g., busier sessions produce more frequent synthetic bars).
Fixed threshold : optionally override with a constant target (e.g., exactly 100,000 contracts per synthetic bar, or $5,000,000 per dollar bar).
Build the synthetic bar
While a bucket fills, the script tracks:
o_s: first price of the bucket (synthetic open)
h_s: running maximum price (synthetic high)
l_s: running minimum price (synthetic low)
c_s: last price seen (synthetic close)
v_s: cumulative native volume inside the bucket
d_samples: number of native bars consumed to complete the bucket (a proxy for “how fast” the threshold filled)
Emit a new sample
Once the bucket meets/exceeds the threshold, a new synthetic bar is finalized and stored. If overflow occurs (e.g., a single native bar pushes you past the threshold by a lot), the code will emit multiple synthetic samples to account for the extra activity.
Maintain a rolling history efficiently
A ring buffer can overwrite the oldest samples when you hit your Max Stored Samples cap, keeping memory usage stable.
Compute synthetic-space statistics
The script computes an SMA over the last N synthetic closes and basic descriptors like average bars per synthetic sample, mean and standard deviation of synthetic returns, and more. These are all in event time , not clock time.
Inputs and options you will actually use
Data Settings
Sampling Method : Volume or Dollar Bars.
Rolling Lookback : window used to estimate the dynamic threshold from recent activity.
Filter : Mean or Median for the dynamic threshold. Median is more robust to spikes.
Use Fixed? / Fixed Threshold : override dynamic sizing with a constant target.
Max Stored Samples : cap on synthetic history to keep performance snappy.
Use Ring Buffer : turn on to recycle storage when at capacity.
Indicator Settings
SMA over last N samples : moving average in synthetic space . Because its index is sample count, not minutes, it adapts naturally: more updates in busy regimes, fewer in quiet regimes.
Visuals
Show Synthetic Bars : plot the synthetic OHLC candles.
Candle Color Mode :
Green/Red: directional close vs open
Volume Intensity: opacity scales with synthetic size
Neutral: single color
Adaptive: graded by how large the bucket was relative to threshold
Mark new samples : drop a small marker whenever a new synthetic bar prints.
Comparison & Research
Show Time Bars : overlay the native time-based candles to visually compare how the two sampling schemes differ.
How to read it, step by step
Turn on “Synthetic Bars” and optionally overlay “Time Bars.” You will see that during high-activity bursts, synthetic bars print much faster than time bars.
Watch the synthetic SMA . Crosses in synthetic space can be more meaningful because each update represents a roughly comparable amount of traded information.
Use the “Avg Bars per Sample” in the info table as a regime signal. Falling average bars per sample means activity is clustering, often coincident with higher realized volatility.
Try Dollar Bars when price varies a lot but share count does not; they normalize by dollar risk taken in each sample. Volume Bars are ideal when share count is a better proxy for information flow in your instrument.
Quant finance background and citations
Event time vs. clock time : Easley, López de Prado, and O’Hara advocate measuring intraday phenomena on a volume clock to better align sampling with information arrival. This framing helps explain volatility bursts and liquidity droughts and motivates volume-based bars.
Flow toxicity and dealer risk : The same authors show how adverse selection risk changes with the intensity and informativeness of order flow, further supporting activity-based clocks for modeling and risk management.
AFML framework : In Advances in Financial Machine Learning , event-driven bars such as volume, dollar, and imbalance bars are presented as superior sampling units for many ML tasks, yielding more stationary features and fewer microstructure distortions than fixed time bars. ( Alpaca )
Practical use cases
1) Regime-aware moving averages
The synthetic SMA in event time is not fooled by quiet periods: if nothing of consequence trades, it barely updates. This can make trend filters less sensitive to calendar drift and more sensitive to true participation.
2) Breakout logic on “equal-information” samples
The script exposes simple alerts such as breakout above/below the synthetic SMA . Because each bar approximates a constant amount of activity, breakouts are conditioned on comparable informational mass, not arbitrary time buckets.
3) Volatility-adaptive backtests
If you use synthetic bars as your base data stream, most signal rules become self-paced : entry and exit opportunities accelerate in fast markets and slow down in quiet regimes, which often improves the realism of slippage and fill modeling in research pipelines (pair this indicator with strategy code downstream).
4) Regime diagnostics
Avg Bars per Sample trending down: activity is dense; expect larger realized ranges.
Return StdDev (synthetic) rising: noise or trend acceleration in event time; re-tune risk.
Interpreting the info panel
Method : your sampling choice and current threshold.
Total Samples : how many synthetic bars have been formed.
Current Vol/Dollar : how much of the next bucket is already filled.
Bars in Bucket : native bars consumed so far in the current bucket.
Avg Bars/Sample : lower means higher trading intensity.
Avg Return / Return StdDev : return stats computed over synthetic closes .
Research directions you can build from here
Imbalance and run bars
Extend beyond pure volume or dollar thresholds to imbalance bars that trigger on directional order flow imbalance (e.g., buy volume minus sell volume), as discussed in the AFML ecosystem. These often further homogenize distributional properties used in ML. alpaca.markets
Volume-time indicators
Re-compute classical indicators (RSI, MACD, Bollinger) on the synthetic stream. The premise is that signals are updated by traded information , not seconds, which may stabilize indicator behavior in heteroskedastic regimes.
Liquidity and toxicity overlays
Combine synthetic bars with proxies of flow toxicity to anticipate spread widening or volatility clustering. For instance, tag synthetic bars that surpass multiples of the threshold and test whether subsequent realized volatility is elevated.
Dollar-risk parity sampling for portfolios
Use dollar bars to align samples across assets by notional risk, enabling cleaner cross-asset features and comparability in multi-asset models (e.g., correlation studies, regime clustering). AFML discusses the benefits of event-driven sampling for cross-sectional ML feature engineering.
Microstructure feature set
Compute duration in native bars per synthetic sample , range per sample , and volume multiple of threshold as inputs to state classifiers or regime HMMs . These features are inherently activity-aware and often predictive of short-horizon volatility and trend persistence per the event-time literature. ( Alpaca )
Tips for clean usage
Start with dynamic thresholds using Median over a sensible lookback to avoid outlier distortion, then move to Fixed thresholds when you know your instrument’s typical activity scale.
Compare time bars vs synthetic bars side by side to develop intuition for how your market “breathes” in activity time.
Keep Max Stored Samples reasonable for performance; the ring buffer avoids memory creep while preserving a rolling window of research-grade data.
Volume Footprint Anomaly Scanner [PhenLabs]📊 PhenLabs - Volume Footprint Anomaly Scanner (VFAS)
Version: PineScript™ v6
📌 Description
The PhenLabs Volume Footprint Anomaly Scanner (VFAS) is an advanced Pine Script indicator designed to detect and highlight significant imbalances in buying and selling pressure within individual price bars. By analyzing a calculated "Delta" – the net difference between estimated buy and sell volume – and employing statistical Z-score analysis, VFAS pinpoints moments when buying or selling activity becomes unusually dominant. This script was created not in hopes of creating a "Buy and Sell" indicator but rather providing the user with a more in-depth insight into the intrabar volume delta and how it can fluctuate in unusual ways, leading to anomalies that can be capitalized on.
This indicator helps traders identify high-conviction points where strong market participants are active, signaling potential shifts in momentum or continuation of a trend. It aims to provide a clearer understanding of underlying market dynamics, allowing for more informed decision-making in various trading strategies, from identifying entry points to confirming trend strength.
🚀 Points of Innovation
● Z-Score for Delta Analysis : Utilizes statistical Z-scores to objectively identify statistically significant anomalies in buying/selling pressure, moving beyond simple, arbitrary thresholds.
● Dynamic Confidence Scoring : Assigns a multi-star confidence rating (1-4 stars) to each signal, factoring in high volume, trend alignment, and specific confirmation criteria, providing a nuanced view of signal strength.
● Integrated Trend Filtering : Offers an optional Exponential Moving Average (EMA)-based trend filter to ensure signals align with the broader market direction, reducing false positives in ranging markets.
● Strict Confirmation Logic : Implements specific confirmation criteria for higher-confidence signals, including price action and a time-based gap from previous signals, enhancing reliability.
● Intuitive Info Dashboard : Provides a real-time summary of market trend and the latest signal's direction and confidence directly on the chart, streamlining information access.
🔧 Core Components
● Core Delta Engine : Estimates the net buying/selling pressure (bar Delta) by analyzing price movement within each bar relative to volume. It also calculates average volume to identify bars with unusually high activity.
● Anomaly Detection (Z-Score) : Computes the Z-score for the current bar's Delta, indicating how many standard deviations it is from its recent average. This statistical measure is central to identifying significant anomalies.
● Trend Filter : Utilizes a dual Exponential Moving Average (EMA) cross-over system to define the prevailing market trend (uptrend, downtrend, or range), providing contextual awareness.
● Signal Processing & Confidence Algorithm : Evaluates anomaly conditions against trend filters and confirmation rules, then calculates a dynamic confidence score to produce actionable, contextualized signal information.
🔥 Key Features
● Advanced Delta Anomaly Detection : Pinpoints bars with exceptionally high buying or selling pressure, indicating potential institutional activity or strong market conviction.
● Multi-Factor Confidence Scoring : Each signal comes with a 1-4 star rating, clearly communicating its reliability based on high volume, trend alignment, and specific confirmation criteria.
● Optional Trend Alignment : Users can choose to filter signals, so only those aligned with the prevailing EMA-defined trend are displayed, enhancing signal quality.
● Interactive Signal Labels : Displays compact labels on the chart at anomaly points, offering detailed tooltips upon hover, including signal type, direction, confidence, and contextual information.
● Customizable Bar Colors : Visually highlights bars with Delta anomalies, providing an immediate visual cue for strong buying or selling activity.
● Real-time Info Dashboard : A clean, customizable dashboard shows the current market trend and details of the latest detected signal, keeping key information accessible at a glance.
● Configurable Alerts : Set up alerts for bullish or bearish Delta anomalies to receive real-time notifications when significant market pressure shifts occur.
🎨 Visualization
Signal Labels :
* Placed at the top/bottom of anomaly bars, showing a "📈" (bullish) or "📉" (bearish) icon.
* Tooltip: Hovering over a label reveals detailed information: Signal Type (e.g., "Delta Anomaly"), Direction, Confidence (e.g., "★★★☆"), and a descriptive explanation of the anomaly.
* Interpretation: Clearly marks actionable signals and provides deep insights without cluttering the chart, enabling quick assessment of signal strength and context.
● Info Dashboard :
* Located at the top-right of the chart, providing a clean summary.
* Displays: "PhenLabs - VFAS" header, "Market Trend" (Uptrend/Downtrend/Range with color-coded status), and "Direction | Conf." (showing the last signal's direction and star confidence).
* Optional "💡 Hover over signals for details" reminder.
* Interpretation: A concise, real-time summary of the market's pulse and the most recent high-conviction event, helping traders stay informed at a glance.
📖 Usage Guidelines
Setting Categories
⚙️ Core Delta & Volume Engine
● Minimum Volume Lookback (Bars)
○ Default: 9
○ Range: Integer (e.g., 5-50)
○ Description: Defines the number of preceding bars used to calculate the average volume and delta. Bars with volume below this average won't be considered for high-volume signals. A shorter lookback is more reactive to recent changes, while a longer one provides a smoother average.
📈 Anomaly Detection Settings
Delta Z-Score Anomaly Threshold
○ Default: 2.5
○ Range: Float (e.g., 1.0-5.0+)
○ Description: The number of standard deviations from the mean that a bar's delta must exceed to be considered a significant anomaly. A higher threshold means fewer, but potentially stronger, signals. A lower threshold will generate more signals, which might include less significant events. Experiment to find the optimal balance for your trading style.
🔬 Context Filters
Enable Trend Filter
○ Default: False
○ Range: Boolean (True/False)
○ Description: When enabled, signals will only be generated if they align with the current market trend as determined by the EMAs (e.g., only bullish signals in an uptrend, bearish in a downtrend). This helps to filter out counter-trend noise.
● Trend EMA Fast
○ Default: 50
○ Range: Integer (e.g., 10-100)
○ Description: The period for the faster Exponential Moving Average used in the trend filter. In combination with the slow EMA, it defines the trend direction.
● Trend EMA Slow
○ Default: 200
○ Range: Integer (e.g., 100-400)
○ Description: The period for the slower Exponential Moving Average used in the trend filter. The relationship between the fast and slow EMA determines if the market is in an uptrend (fast > slow) or downtrend (fast < slow).
🎨 Visual & UI Settings
● Show Info Dashboard
○ Default: True
○ Range: Boolean (True/False)
○ Description: Toggles the visibility of the dashboard on the chart, which provides a summary of market trend and the last detected signal.
● Show Dashboard Tooltip
○ Default: True
○ Range: Boolean (True/False)
○ Description: Toggles a reminder message in the dashboard to hover over signal labels for more detailed information.
● Show Delta Anomaly Bar Colors
○ Default: True
○ Range: Boolean (True/False)
○ Description: Enables or disables the coloring of bars based on their delta direction and whether they represent a significant anomaly.
● Show Signal Labels
○ Default: True
○ Range: Boolean (True/False)
○ Description: Controls the visibility of the “📈” or “📉” labels that appear on the chart when a delta anomaly signal is generated.
🔔 Alert Settings
Alert on Delta Anomaly
○ Default: True
○ Range: Boolean (True/False)
○ Description: When enabled, this setting allows you to set up alerts in TradingView that will trigger whenever a new bullish or bearish delta anomaly is detected.
✅ Best Use Cases
Early Trend Reversal / Continuation Detection: Identify strong surges of buying/selling pressure at key support/resistance levels that could indicate a reversal or the continuation of a strong move.
● Confirmation of Breakouts: Use high-confidence delta anomalies to confirm the validity of price breakouts, indicating strong conviction behind the move.
● Entry and Exit Points: Pinpoint precise entry opportunities when anomalies align with your trading strategy, or identify potential exhaustion signals for exiting trades.
● Scalping and Day Trading: The indicator’s sensitivity to intraday buying/selling imbalances makes it highly effective for short-term trading strategies.
● Market Sentiment Analysis: Gain a real-time understanding of underlying market sentiment by observing the prevalence and strength of bullish vs. bearish anomalies.
⚠️ Limitations
Estimated Delta: The script uses a simplified method to estimate delta based on bar close relative to its range, not actual order book or footprint data. While effective, it’s an approximation.
● Sensitivity to Z-Score Threshold: The effectiveness heavily relies on the `Delta Z-Score Anomaly Threshold`. Too low, and you’ll get many false positives; too high, and you might miss valid signals.
● Confirmation Criteria: The 4-star confidence level’s “confirmation” relies on specific subsequent bar conditions and previous confirmed signals, which might be too strict or specific for all contexts.
● Requires Context: While powerful, VFAS is best used in conjunction with other technical analysis tools and price action to form a comprehensive trading strategy. It is not a standalone “buy/sell” signal.
💡 What Makes This Unique
Statistical Rigor: The application of Z-score analysis to bar delta provides an objective, statistically-driven way to identify true anomalies, moving beyond arbitrary thresholds.
● Multi-Factor Confidence Scoring: The unique 1-4 star confidence system integrates multiple market dynamics (volume, trend alignment, specific follow-through) into a single, easy-to-interpret rating.
● User-Friendly Design: From the intuitive dashboard to the detailed signal tooltips, the indicator prioritizes clear and accessible information for traders of all experience levels.
🔬 How It Works
1. Bar Delta Calculation:
● The script first estimates the “buy volume” and “sell volume” for each bar. This is done by assuming that volume proportional to the distance from the low to the close represents buying, and volume proportional to the distance from the high to the close represents selling.
● How this contributes: This provides a proxy for the net buying or selling pressure (delta) within that specific price bar, even without access to actual footprint data.
2. Volume & Delta Z-Score Analysis:
● The average volume over a user-defined lookback period is calculated. Bars with volume less than twice this average are generally considered of lower interest.
● The Z-score for the calculated bar delta is computed. The Z-score measures how many standard deviations the current bar’s delta is from its average delta over the `Minimum Volume Lookback` period.
● How this contributes: A high positive Z-score indicates a bullish delta anomaly (significantly more buying than usual), while a high negative Z-score indicates a bearish delta anomaly (significantly more selling than usual). This identifies statistically unusual levels of pressure.
3. Trend Filtering (Optional):
● Two Exponential Moving Averages (Fast and Slow EMA) are used to determine the prevailing market trend. An uptrend is identified when the Fast EMA is above the Slow EMA, and a downtrend when the Fast EMA is below the Slow EMA.
● How this contributes: If enabled, the indicator will only display bullish delta anomalies during an uptrend and bearish delta anomalies during a downtrend, helping to confirm signals within the broader market context and avoid counter-trend signals.
4. Signal Generation & Confidence Scoring:
● When a delta Z-score exceeds the user-defined anomaly threshold, a signal is generated.
● This signal is then passed through a multi-factor confidence algorithm (`f_calculateConfidence`). It awards stars based on: high volume presence, alignment with the overall trend (if enabled), and a fourth star for very strong Z-scores (above 3.0) combined with specific follow-through candle patterns after a cooling-off period from a previous confirmed signal.
● How this contributes: Provides a qualitative rating (1-4 stars) for each anomaly, allowing traders to quickly assess the potential significance and reliability of the signal.
💡 Note:
The PhenLabs Volume Footprint Anomaly Scanner is a powerful analytical tool, but it’s crucial to understand that no indicator guarantees profit. Always backtest and forward-test the indicator settings on your chosen assets and timeframes. Consider integrating VFAS with your existing trading strategy, using its signals as confirmation for entries, exits, or trend bias. The Z-score threshold is highly customizable; lower values will yield more signals (including potential noise), while higher values will provide fewer but potentially higher-conviction signals. Adjust this parameter based on market volatility and your risk tolerance. Remember to combine statistical insights from VFAS with price action, support/resistance levels, and your overall market outlook for optimal results.
First FVG📘 Indicator Description (English)
First FVG – NY Open is a TradingView indicator designed to automatically identify the first Fair Value Gap (FVG) that appears during the New York session, following the ICT (Inner Circle Trader) methodology.
It highlights institutional inefficiencies in price caused by imbalanced price action and helps traders spot high-probability entry zones, especially after the 9:30 AM EST (New York Open).
⚙️ How It Works
Session time: The indicator scans for FVGs starting at 9:32 AM (allowing 3 candles after the NY Open to form).
FVG Conditions:
Bullish FVG: When the high of 2 candles ago is lower than the low of the current candle and the middle candle is bullish.
Bearish FVG: When the low of 2 candles ago is higher than the high of the current candle and the middle candle is bearish.
Only the first FVG per session is drawn, as taught by ICT for setups like Judas Swing or NY Reversal models.
A colored box is drawn to represent the FVG zone.
A dotted horizontal line (CE) is drawn at the midpoint of the FVG box (Consequent Encroachment), a key level watched by smart money traders.
A dashed vertical line is drawn at 9:30 NY time to mark the open.
🧠 How to Use It
Wait for the NY Open (9:30 AM EST) – the indicator becomes active at 9:32 AM.
Watch for the first FVG box of the day. This is often a high-probability reaction zone.
Use the CE line (center of the FVG) as a reference for entries, rejections, or liquidity grabs.
Combine with market structure, PD Arrays, and liquidity concepts as taught by ICT for confluence.
The FVG box and CE line will extend forward for several candles for visual clarity.
🎛️ Customizable Settings
Session time (default: 09:32–16:00 NY)
FVG box color (up/down)
Text color
Max number of days to keep boxes on chart
Option to show or hide the 9:30 NY Open vertical line
SMC Entry Signals MTF v2📘 User Guide for the SMC Entry Signals MTF v2 Indicator
🎯 Purpose of the Indicator
This indicator is designed to identify reversal entry points based on Smart Money Concepts (SMC) and candlestick confirmation. It’s especially useful for traders who use:
Imbalance zones, order blocks, breaker blocks
Liquidity grabs
Multi-timeframe confirmation (MTF)
📈 How to Use the Signals on the Chart
✅ LONG Signal (green triangle below the candle):
Conditions:
Price is in a discount zone (below the FIB 50% level)
A bullish engulfing candle appears
A bullish Order Block (OB) or Breaker Block is detected
There’s an upward imbalance
A bullish OB is confirmed on the higher timeframe
➡️ How to act:
Consider entering long on the current or next candle.
Place your stop-loss below the OB or the nearest swing low.
Take profit at the nearest liquidity zone or premium area (above FIB 50%).
🔻 SHORT Signal (red triangle above the candle):
Conditions:
Price is in a premium zone (above FIB 50%)
A bearish engulfing candle appears
A bearish OB or Breaker Block is detected
There’s a downward imbalance
A bearish OB is confirmed on the higher timeframe
➡️ How to act:
Consider short entry after the signal.
Place your stop-loss above the OB or swing high.
Target the discount zone or the next liquidity pocket.
⚙️ Recommended Settings by Trading Style
Trading Style Suggested Settings Notes
Intraday (1–15m) fibLookback = 20–50, obLookback = 5–10, htf_tf = 1H/4H Fast signals. Use Discount/Premium + Engulfing.
Swing/Position (1H–1D) fibLookback = 50–100, obLookback = 10–20, htf_tf = 1D/1W Higher trust in MTF confirmation. Ideal with fundamentals.
Scalping (1m) fibLookback = 10–20, obLookback = 3–5, htf_tf = 15m/1H Remove Breaker and MTF for quick reaction trades.
🧠 Best Practices for Traders
Trend Filtering:
Use EMAs or volume to confirm the current trend.
Take longs only in uptrends, shorts in downtrends.
Liquidity Zones:
Use this indicator after liquidity grabs.
OBs and Breakers often appear right after stop hunts.
Combine with Manual Zones:
This works best when paired with manually drawn OBs and key levels.
Backtest the Signals:
Use Bar Replay mode on TradingView to test past signals.
🧪 Example Trade Setup
Example on BTCUSDT 15m:
Price drops into the discount zone.
A green triangle appears (bullish engulfing + OB + imbalance + HTF OB).
You enter long, stop below the OB, target the premium zone.
🎯 This type of setup often gives a risk/reward ratio of 1:2 or better — profitable even with a 40% win rate.
⏰ Alerts & Automation
Enable alerts:
"SMC Long Entry" — fires when a long signal appears.
"SMC Short Entry" — fires when a short signal appears.
You can integrate this with bots via webhook, like:
TradingConnector, 3Commas, Alertatron, etc.
✅ What This Indicator Gives You
High-probability entries using SMC logic
Customizable filters for entry logic
Multi-timeframe confirmation for stronger setups
Suitable for both intraday and swing trading
Puts vs Longs vs Price Oscillator SwiftEdgeWhat is this Indicator?
The "Low-Latency Puts vs Longs vs Price Oscillator" is a custom technical indicator built for TradingView to help traders visualize buying and selling activity in a market without access to order book data. It displays three lines in an oscillator below the price chart:
Green Line (Longs): Represents the strength of buying activity (bullish pressure).
Red Line (Puts): Represents the strength of selling activity (bearish pressure).
Yellow Line (Price): Shows the asset’s price in a scaled format for direct comparison.
The indicator uses price movements, volume, and momentum to estimate when buyers or sellers are active, providing a quick snapshot of market dynamics. It’s optimized for fast response to price changes (low latency), making it useful for both short-term and longer-term trading strategies.
How Does it Work?
Since TradingView doesn’t provide direct access to order book data (which shows real-time buy and sell orders), this indicator approximates buying and selling pressure using commonly available data: price, volume, and a momentum measure called Rate of Change (ROC). Here’s how it combines these elements:
Price Movement: The indicator checks if the price is rising or falling compared to the previous candlestick. A rising price suggests buying (longs), while a falling price suggests selling (puts).
Volume: Volume acts as a "weight" to measure the strength of these price moves. Higher volume during a price increase boosts the green line, while higher volume during a price decrease boosts the red line. This mimics how large orders in an order book would influence the market.
Rate of Change (ROC): ROC measures how fast the price is changing over a set period (e.g., 5 candlesticks). It adds a momentum filter—strong upward momentum reinforces buying signals, while strong downward momentum reinforces selling signals.
These components are calculated for each candlestick and summed over a short lookback period (e.g., 5 candlesticks) to create the green and red lines. The yellow line is simply the asset’s closing price scaled down to fit the oscillator’s range, allowing you to compare buying/selling strength directly with price action.
Why Combine These Elements?
The combination of price, volume, and ROC is intentional and synergistic:
Price alone isn’t enough—it tells you what happened but not how strong the move was.
Volume adds context by showing the intensity behind price changes, much like how order book volume indicates real buying or selling interest.
ROC ensures the indicator captures momentum, filtering out weak or random price moves and focusing on significant trends, similar to how aggressive order execution might appear in an order book.
Together, they create a balanced picture of market activity that’s more reliable than any single factor alone. The goal is to simulate the insights you’d get from an order book—where you’d see buy/sell imbalances—using data available in TradingView.
How to Use It
Setup:
Add the indicator to your chart via TradingView’s Pine Editor by copying and pasting the script.
Adjust the inputs to suit your trading style:
Lookback Period: Number of candlesticks (default 5) to sum buying/selling activity. Shorter = more responsive; longer = smoother.
Price Scale Factor: Scales the yellow price line (default 0.001). Increase for high-priced assets (e.g., 0.01 for indices like DAX) or decrease for low-priced ones (e.g., 0.0001 for crypto).
ROC Period: Candlesticks for momentum calculation (default 5). Shorter = faster response.
ROC Weight: How much momentum affects the signal (default 0.5). Higher = stronger momentum influence.
Volume Threshold: Minimum volume multiplier (default 1.5) to boost signals during high activity.
Reading the Oscillator:
Green Line Above Yellow: Strong buying pressure—price is rising with volume and momentum support. Consider this a bullish signal.
Red Line Above Yellow: Strong selling pressure—price is falling with volume and momentum support. Consider this a bearish signal.
Green/Red Crossovers: When the green line crosses above the red, it suggests buyers are taking control. When the red crosses above the green, sellers may be dominating.
Yellow Line Context: Compare green/red lines to the yellow price line to see if buying/selling strength aligns with price trends.
Trading Examples:
Bullish Setup: Green line spikes above yellow after a price breakout with high volume (e.g., DAX opening jump). Enter a long position if confirmed by other indicators.
Bearish Setup: Red line rises above yellow during a price drop with increasing volume. Look for a short opportunity.
Reversal Warning: If the green line stays high while price (yellow) flattens or drops, it could signal overbought conditions—be cautious.
What Makes It Unique?
Unlike traditional oscillators like RSI or MACD, which focus solely on price momentum or trends, this indicator blends price, volume, and momentum into a three-line system that mimics order book dynamics. Its low-latency design (short lookback and no heavy smoothing) makes it react quickly to market shifts, ideal for volatile markets like DAX or forex. The visual separation of buying (green) and selling (red) against price (yellow) offers a clear, intuitive way to spot imbalances without needing complex data.
Tips and Customization
Volatile Markets: Use a shorter lookback (e.g., 3) and ROC period (e.g., 3) for faster signals.
Stable Markets: Increase lookback (e.g., 10) for smoother, less noisy lines.
Scaling: If the green/red lines dwarf the yellow, adjust Price Scale Factor up (e.g., 0.01) to balance them.
Experiment: Test on your asset (stocks, crypto, indices) and tweak inputs to match its behavior.
OG Volume PowerDescription:
The OG Volume Power is an elite-level volume analysis suite built for identifying momentum surges, trend continuation, and buyer/seller imbalances at critical price levels. It combines real-time VWAP tracking, a dynamic Point of Control (POC), and volume delta clusters to give traders a complete picture of price and volume interaction.
🔍 Key Features:
Real-Time VWAP:
Tracks volume-weighted average price to identify mean reversion and intraday fair value zones. Ideal for institutional-level entries and exits.
Dynamic POC (Point of Control):
Automatically finds the price level with the highest volume over the last N candles (default 50), helping traders pinpoint where market participants are most committed.
Buyer/Seller Volume Delta Clusters:
Highlights imbalances between buying and selling pressure using bullish and bearish volume deltas that exceed the 20-bar volume average — excellent for momentum detection and early trend recognition.
⚙️ How It Works:
Green triangle: Buyer surge (bullish delta + above average volume)
Red triangle: Seller surge (bearish delta + above average volume)
Magenta line: Dynamic POC (highest volume price over recent candles)
Orange line: VWAP (acts as a magnetic force for price)
📈 Best For:
Intraday scalping or swing trading on SPY, QQQ, BTC, or Forex
Volume flow confirmation before breakout entries
Filtering false breakouts with delta strength signals
🧠 Pro Tip:
Use OG Volume Power alongside your trend indicators (like OG EMA Stack or OG Supertrend) to confirm that volume is backing the move. Look for surges near VWAP or POC zones for sniper-level entries.
Range Breakout Signals [AlgoAlpha]OVERVIEW
This script detects range-bound market conditions and breakout signals using a combination of volatility compression and volume imbalance analysis. It identifies zones where price consolidates within a defined range and highlights potential breakout points with visual markers. Traders can use this to spot market transitions from ranging to trending phases, aiding in decision-making for breakout strategies.
CONCEPTS
The script measures volatility by comparing the ratio of the simple moving average (SMA) of price movements to their median value. When volatility drops below a threshold, the script assumes a range-bound market. It then tracks the cumulative volume of buying and selling pressure to assess breakout strength. The approach is based on the idea that market consolidation often precedes strong moves, and volume distribution can provide clues on the breakout direction.
FEATURES
Range Detection : Uses a volatility filter to identify low-volatility zones and marks them on the chart with shaded boxes.
Volume Imbalance Analysis : Evaluates cumulative up and down volume over a confirmation period to assess directional bias.
Breakout Signals : When price exits a detected range, the script plots breakout markers. A ▲ symbol indicates a bullish breakout, and a ▼ symbol indicates a bearish breakout. Additional "+" markers indicate strong volume imbalance favoring the breakout direction.
Adaptive Timeframe Volume Analysis : The script dynamically adjusts its volume calculation based on the chart’s timeframe, ensuring reliable signal generation across different trading conditions.
Alerts : Notifies traders when a new range is detected or when a breakout occurs, allowing for automated monitoring.
USAGE
Traders can use this script to identify potential trade setups by entering positions when price breaks out of a detected range. For breakout confirmation, traders can look at volume imbalance cues—bullish breakouts with strong buying volume may indicate sustained moves, while weak volume breakouts may lead to false signals. This script is particularly useful for breakout traders, range traders seeking to fade breakouts, and those looking to automate trade alerts in volatile markets.
Custom V2 KillZone US / FVG / EMAThis indicator is designed for traders looking to analyze liquidity levels, opportunity zones, and the underlying trend across different trading sessions. Inspired by the ICT methodology, this tool combines analysis of Exponential Moving Averages (EMA), session management, and Fair Value Gap (FVG) detection to provide a structured and disciplined approach to trading effectively.
Indicator Features
Identifying the Underlying Trend with Two EMAs
The indicator uses two EMAs on different, customizable timeframes to define the underlying trend:
EMA1 (default set to a daily timeframe): Represents the primary underlying trend.
EMA2 (default set to a 4-hour timeframe): Helps identify secondary corrections or impulses within the main trend.
These two EMAs allow traders to stay aligned with the market trend by prioritizing trades in the direction of the moving averages. For example, if prices are above both EMAs, the trend is bullish, and long trades are favored.
Analysis of Market Sessions
The indicator divides the day into key trading sessions:
Asian Session
London Session
US Pre-Open Session
Liquidity Kill Session
US Kill Zone Session
Each session is represented by high and low zones as well as mid-lines, allowing traders to visualize liquidity levels reached during these periods. Tracking the price levels in different sessions helps determine whether liquidity levels have been "swept" (taken) or not, which is essential for ICT methodology.
Liquidity Signal ("OK" or "STOP")
A specific signal appears at the end of the "Liquidity Kill" session (just before the "US Kill Zone" session):
"OK" Signal: Indicates that liquidity conditions are favorable for trading the "US Kill Zone" session. This means that liquidity levels have been swept in previous sessions (Asian, London, US Pre-Open), and the market is ready for an opportunity.
"STOP" Signal: Indicates that it is not favorable to trade the "US Kill Zone" session, as certain liquidity conditions have not been met.
The "OK" or "STOP" signal is based on an analysis of the high and low levels from previous sessions, allowing traders to ensure that significant liquidity zones have been reached before considering positions in the "Kill Zone".
Detection of Fair Value Gaps (FVG) in the US Kill Zone Session
When an "OK" signal is displayed, the indicator identifies Fair Value Gaps (FVG) during the "US Kill Zone" session. These FVGs are areas where price may return to fill an "imbalance" in the market, making them potential entry points.
Bullish FVG: Detected when there is a bullish imbalance, providing a buying opportunity if conditions align with the underlying trend.
Bearish FVG: Detected when there is a bearish imbalance, providing a selling opportunity in the trend direction.
FVG detection aligns with the ICT Silver Bullet methodology, where these imbalance zones serve as probable entry points during the "US Kill Zone".
How to Use This Indicator
Check the Underlying Trend
Before trading, observe the two EMAs (daily and 4-hour) to understand the general market trend. Trades will be prioritized in the direction indicated by these EMAs.
Monitor Liquidity Signals After the Asian, London, and US Pre-Open Sessions
The high and low levels of each session help determine if liquidity has already been swept in these areas. At the end of the "Liquidity Kill" session, an "OK" or "STOP" label will appear:
"OK" means you can look for trading opportunities in the "US Kill Zone" session.
"STOP" means it is preferable not to take trades in the "US Kill Zone" session.
Look for Opportunities in the US Kill Zone if the Signal is "OK"
When the "OK" label is present, focus on the "US Kill Zone" session. Use the Fair Value Gaps (FVG) as potential entry points for trades based on the ICT methodology. The identified FVGs will appear as colored boxes (bullish or bearish) during this session.
Use ICT Methodology to Manage Your Trades
Follow the FVGs as potential reversal zones in the direction of the trend, and manage your positions according to your personal strategy and the rules of the ICT Silver Bullet method.
Customizable Settings
The indicator includes several customization options to suit the trader's preferences:
EMA: Length, source (close, open, etc.), and timeframe.
Market Sessions: Ability to enable or disable each session, with color and line width settings.
Liquidity Signals: Customization of colors for the "OK" and "STOP" labels.
FVG: Option to display FVGs or not, with customizable colors for bullish and bearish FVGs, and the number of bars for FVG extension.
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Cet indicateur est conçu pour les traders souhaitant analyser les niveaux de liquidité, les zones d’opportunité, et la tendance de fond à travers différentes sessions de trading. Inspiré de la méthodologie ICT, cet outil combine l'analyse des moyennes mobiles exponentielles (EMA), la gestion des sessions de marché, et la détection des Fair Value Gaps (FVG), afin de fournir une approche structurée et disciplinée pour trader efficacement.
Gaps Trend [ChartPrime]The Gaps Trend - ChartPrime indicator is designed to detect Fair Value Gaps (FVGs) in the market and apply a trailing stop mechanism based on those gaps. It identifies both bullish and bearish gaps and provides traders with a way to manage trades dynamically as gaps appear. The indicator visually highlights gaps and uses the detected momentum to assess trend direction, helping traders identify price imbalances caused by strong buy or sell pressure.
⯁ KEY FEATURES & HOW TO USE
⯌ Fair Value Gap (FVG) Detection :
The indicator automatically detects both bullish and bearish FVGs, identifying gaps between candle highs and lows. Bullish gaps are shown in green, and bearish gaps in purple. These gaps indicate price imbalances driven by strong momentum, such as when there is significant buying or selling pressure.
Use : Traders can use FVG detection to identify periods of high price momentum, offering insight into potential continuation or exhaustion of trends.
⯌ Trailing Stop Feature Based on FVGs :
A core feature of this indicator is the trailing stop mechanism, which adjusts dynamically based on the identified FVGs. When a bullish gap is detected, the trailing stop is placed below the price to capture upward momentum, while bearish gaps result in a trailing stop placed above the price. This feature helps traders stay in trends while protecting profits as the price moves.
Use : The trailing stop follows the momentum of the price, ensuring that traders can stay in profitable trades during strong trends and exit when the momentum shifts.
bullish set up
bearish set up
⯌ Trend Direction Indication :
The indicator colors the chart according to the current trend direction based on the position of the price relative to the trailing stop. Green indicates an uptrend (bullish gap), while purple shows a downtrend (bearish gap). This provides traders with a quick visual assessment of trend direction based on the presence of gaps.
Use : Traders can monitor the chart's color to stay aligned with the market’s trend, staying long during green phases and short during purple ones.
⯌ Gap Size Filtering :
Each detected gap is assigned a numerical ranking based on its size, with larger gaps having higher rankings. The gap size filter allows traders to only display gaps that meet a minimum size threshold, focusing on the most impactful gaps in terms of price movement.
Use : Traders can use the filter to focus on gaps of a certain size, filtering out smaller, less significant gaps. The numerical ranking helps identify the largest and most influential gaps for decision-making.
⯌ FVG Level Visualization :
The indicator can display dashed lines marking the levels of previously filled FVGs. These levels represent areas where price once experienced a gap and later filled it. Monitoring these levels can provide traders with key reference points for potential reactions in price.
Use : Traders can use these gap levels to track where price has filled gaps and potentially use these levels as zones for entry, exit, or assessing market behavior.
⯁ USER INPUTS
Filter Gaps : Adjust the size threshold to filter gaps by their size ranking.
Show Gap Levels : Toggle the display of dashed lines at filled FVG levels.
Enable Trailing Stop : Activate or deactivate the trailing stop feature based on FVGs.
Trailing Stop Length : Set the number of bars used to calculate the trailing stop.
Bullish/Bearish Colors : Customize the colors representing bullish and bearish gaps.
⯁ CONCLUSION
The Gaps Trend indicator combines Fair Value Gap detection with a dynamic trailing stop feature to help traders manage trades during periods of high price momentum. By detecting gaps caused by strong buy or sell pressure and applying adaptive stops, the indicator provides a powerful tool for riding trends and managing risk. The additional ability to filter gaps by size and visualize previously filled gaps enhances its utility for both trend-following and risk management strategies.
FVG Alerts (Vortus)What are Fair Value Gaps (FVGs)?
Fair Value Gaps (FVGs) represent price inefficiencies where buying and selling volumes are imbalanced, creating gaps between the wicks of consecutive candles. These gaps often act as magnets for price, as markets tend to "fill" these gaps before resuming their trend.
FVGs can signal potential entry or exit points, making them a valuable tool for traders looking to exploit these price inefficiencies.
How to Use the Script to Add Alerts:
1. Add the Script to Your Chart:
Load the script into TradingView by pasting it into the Pine Script Editor, then apply it to your chart.
2. Adjust Your Settings:
In the "FVG Settings" section, decide whether you want gaps to be removed after their midpoint or full fill. You can also choose to identify gaps only after a candle has closed, adding a level of confirmation to your strategy.
Customize the colors for Bullish and Bearish FVGs under "Visual Settings" to match your chart's theme.
3. Set Up Your Alerts:
After adding the script to your chart, go to the "Alerts" section in TradingView.
Select either "Bullish FVG Filled" or "Bearish FVG Filled" from the "Condition" dropdown menu.
Configure the alert parameters such as frequency, expiration, and notification method according to your trading strategy.
4. Stay on Top of the Market:
Once set up, the script will automatically notify you when a Fair Value Gap is filled, keeping you informed of potential reversal or continuation opportunities without needing to constantly monitor the charts.
Feedback is Welcome
Price Action Smart Money Concepts [BigBeluga]THE SMART MONEY CONCEPTS Toolkit
The Smart Money Concepts [ BigBeluga ] is a comprehensive toolkit built around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors.
The Smart Money Concepts Toolkit brings together a suite of advanced indicators that are all interconnected and built around a unified concept: understanding and trading like institutional investors, or "smart money." These indicators are not just randomly chosen tools; they are features of a single overarching framework, which is why having them all in one place creates such a powerful system.
This all-in-one toolkit provides the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas.
Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels.
Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions.
Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit.
Swing failure patterns help traders identify potential entry points and rejection zones based on price swings.
Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edge to make informed trading decisions based on liquidity dynamics.
🔵 FEATURES
The indicator has quite a lot of features that are provided below:
Swing market structure
Internal market structure
Mapping structure
Adjustable market structure
Strong/Weak H&L
Sweep
Volumetric Order block / Breakers
Fair Value Gaps / Breakers (multi-timeframe)
Swing Failure Patterns (multi-timeframe)
Deviation area
Equal H&L
Liquidity Prints
Buyside & Sellside
Sweep Area
Highs and Lows (multi-timeframe)
🔵 BASIC DEMONSTRATION OF ALL FEATURES
1. MARKET STRUCTURE
The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator.
➤ Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x').
➤ Internal Structure: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals.
➤ Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions.
➤ Mapping structure: A tool that automatically identifies and connects significant price highs and lows, creating a zig-zag pattern. It visualizes market structure, highlights trends, support/resistance levels, and potential breakouts. Helps traders quickly grasp price action patterns and make informed decisions.
➤ Color-coded candles based on market structure: These colors visually represent the underlying market structure, making it easier for traders to quickly identify trends.
➤ Extreme H&L: It visualizes market structure with extreme high and lows, which gives perspective for macro Market Structure.
2. VOLUMETRIC ORDER BLOCKS
Order blocks are specific areas on a financial chart where significant buying or selling activity has occurred. These are not just simple zones; they contain valuable information about market dynamics. Within each of these order blocks, volume bars represent the actual buying and selling activity that took place. These volume bars offer deeper insights into the strength of the order block by showing how much buying or selling power is concentrated in that specific zone.
Additionally, these order blocks can be transformed into Breaker Blocks. When an order block fails—meaning the price breaks through this zone without reversing—it becomes a breaker block. Breaker blocks are particularly useful for trading breakouts, as they signal that the market has shifted beyond a previously established zone, offering opportunities for traders to enter in the direction of the breakout.
Here's a breakdown:
➤ Bear Order Blocks (Red): These are zones where a lot of selling happened. Traders see these areas as places where sellers were strong, pushing the price down. When the price returns to these zones, it might face resistance and drop again.
➤ Bull Order Blocks (Green): These are zones where a lot of buying happened. Traders see these areas as places where buyers were strong, pushing the price up. When the price returns to these zones, it might find support and rise again.
These Order Blocks help traders identify potential areas for entering or exiting trades based on past market activity. The volume bars inside blocks show the amount of trading activity that occurred in these blocks, giving an idea of the strength of buying or selling pressure.
➤ Breaker Block: When an order block fails, meaning the price breaks through this zone without reversing, it becomes a breaker block. This indicates a significant shift in market liquidity and structure.
➤ A bearish breaker block occurs after a bullish order block fails. This typically happens when there's an upward trend, and a certain level that was expected to support the market's rise instead gives way, leading to a sharp decline. This decline indicates that sellers have overcome the buyers, absorbing liquidity and shifting the sentiment from bullish to bearish.
Conversely, a bullish breaker block is formed from the failure of a bearish order block. In a downtrend, when a level that was expected to act as resistance is breached, and the price shoots up, it signifies that buyers have taken control, overpowering the sellers.
3. FAIR VALUE GAPS:
A fair value gap (FVG), also referred to as an imbalance, is an essential concept in Smart Money trading. It highlights the supply and demand dynamics. This gap arises when there's a notable difference between the volume of buy and sell orders. FVGs can be found across various asset classes, including forex, commodities, stocks, and cryptocurrencies.
FVGs in this toolkit have the ability to detect raids of FVG which helps to identify potential price reversals.
Mitigation option helps to change from what source FVGs will be identified: Close, Wicks or AVG.
4. SWING FAILURE PATTERN (SFP):
The Swing Failure Pattern is a liquidity engineering pattern, generally used to fill large orders. This means, the SFP generally occurs when larger players push the price into liquidity pockets with the sole objective of filling their own positions.
SFP is a technical analysis tool designed to identify potential market reversals. It works by detecting instances where the price briefly breaks a previous high or low but fails to maintain that breakout, quickly reversing direction.
How it works:
Pattern Detection: The indicator scans for price movements that breach recent highs or lows.
Reversal Confirmation: If the price quickly reverses after breaching these levels, it's identified as an SFP.
➤ SFP Display:
Bullish SFP: Marked with a green symbol when price drops below a recent low before reversing upwards.
Bearish SFP: Marked with a red symbol when price rises above a recent high before reversing downwards.
➤ Deviation Levels: After detecting an SFP, the indicator projects white lines showing potential price deviation:
For bullish SFPs, the deviation line appears above the current price.
For bearish SFPs, the deviation line appears below the current price.
These deviation levels can serve as a potential trading opportunity or areas where the reversal might lose momentum.
With Volume Threshold and Filtering of SFP traders can adjust their trading style:
Volume Threshold: This setting allows traders to filter SFPs based on the volume of the reversal candle. By setting a higher volume threshold, traders can focus on potentially more significant reversals that are backed by higher trading activity.
SFP Filtering: This feature enables traders to filter SFP detection. It includes parameters such as:
5. LIQUIDITY CONCEPTS:
➤ Equal Lows (EQL) and Equal Highs (EQH) are important concepts in liquidity-based trading.
EQL: A series of two or more swing lows that occur at approximately the same price level.
EQH: A series of two or more swing highs that occur at approximately the same price level.
EQLs and EQHs are seen as potential liquidity pools where a large number of stop loss orders or limit orders may be clustered. They can be used as potential reverse points for trades.
This multi-period feature allows traders to select less and more significant EQL and EQH:
➤ Liquidity wicks:
Liquidity wicks are a minor representation of a stop-loss hunt during the retracement of a pivot point:
➤ Buy and Sell side liquidity:
The buy side liquidity represents a concentration of potential buy orders below the current price level. When price moves into this area, it can lead to increased buying pressure due to the execution of these orders.
The sell side liquidity indicates a pool of potential sell orders below the current price level. Price movement into this area can result in increased selling pressure as these orders are executed.
➤ Sweep Liquidation Zones:
Sweep Liquidation Zones are crucial for understanding market structure and potential future price movements. They provide insights into areas where significant market participants have been forced out of their positions, potentially setting up new trading opportunities.
🔵 USAGE & EXAMPLES
The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades.
MS + OBs
The chart illustrates a highly bullish setup where the price is rejecting from a bullish order block (POC), while simultaneously forming a bullish Swing Failure Pattern (SFP). This occurs after an internal structure change, marked by a bullish Change of Character (CHoCH). The price broke through a bearish order block, transforming it into a breaker block, further confirming the bullish momentum.
The combination of these elements—bullish order blocks, SFP, and CHoCH—creates a powerful bullish signal, reinforcing the potential for upward movement in the market.
SFP + Bear OB
This chart above displays a bearish setup with a high probability of a price move lower. The price is currently rejecting from a bear order block, which represents a key resistance area where significant selling pressure has previously occurred. A Swing Failure Pattern (SFP) has also formed near this bear order block, indicating that the price briefly attempted to break above a recent high but failed to sustain that upward movement. This failure suggests that buyers are losing momentum, and the market could be preparing for a move to the downside.
Additionally, we can toggle on the Deviation Area in the SFP section to highlight potential levels where price deviation might occur. These deviation areas represent zones where the price is likely to react after the Swing Failure Pattern:
BUY – SELL sides + EQL
The chart showcases a bullish setup with a high probability of price breaking out of the current sell-side resistance level. The market structure indicates a formation of Equal Lows (EQL), which often suggests a build-up of liquidity that could drive the price higher.
The presence of strong buy-side pressure (69%), indicated by the green zone at the bottom, reinforces this bullish outlook. This area represents a key support zone where buyers are outpacing sellers, providing the foundation for a potential upward breakout.
EQL + Bull ChoCh
This chart illustrates a potential bullish setup, driven by the formation of Equal Lows (EQL) followed by a bullish Change of Character (CHoCH). The presence of Equal Lows often signals a liquidity build-up, which can lead to a reversal when combined with additional bullish signals.
Liquidity grab + Bull ChoCh + FVGs
This chart demonstrates a strong bullish scenario, where several important market dynamics are at play. The price begins its upward momentum from Liquidity grab following a bullish Change of Character (CHoCH), signaling the transition from a bearish phase to a bullish one.
As the price progresses, it performs liquidity grabs, which serve to gather the necessary fuel for further movement. These liquidity grabs often occur before significant price surges, as large market participants exploit these areas to accumulate positions before pushing the price higher.
The chart also highlights a market imbalance area, showing strong momentum as the price moves swiftly through this zone.
In this examples, we see how the combination of multiple “smart money” tools helps identify a potential trade opportunities. This is just one of the many scenarios that traders can spot using this toolkit. Other combinations—such as order blocks, liquidity grabs, fair value gaps, and Swing Failure Patterns (SFPs)—can also be layered on top of these concepts to further refine your trading strategy.
🔵 SETTINGS
Window: limit calculation period
Swing: limit drawing function
Mapping structure: show structural points
Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation
Algorithmic loopback: pivot point look back
Show Last: Amount of Order block to display
Hide Overlap: hide overlapping order blocks
Construction: Size of the order blocks
Fair value gaps: Choose between normal FVG or Breaker FVG
Mitigation: (close - wick - avg) point to mitigate the order block/imbalance
SFP lookback: find a higher / lower point to improve accuracy
Threshold: remove less relevant SFP
Equal H&L: (short-mid-long term) display longer term
Liquidity Prints: Shows wicks of candles where liquidity was grabbed
Sweep Area: Identify Sweep Liquidation areas
By combining these indicators in one toolkit, traders are equipped with a comprehensive suite of tools that address every angle of the Smart Money Concept. Instead of relying on disparate tools spread across various platforms, having them integrated into a single, cohesive system allows traders to easily see confluence and make more informed trading decisions.
ICT Power Of Three | Flux Charts💎 GENERAL OVERVIEW
Introducing our new ICT Power Of Three Indicator! This indicator is built around the ICT's "Power Of Three" strategy. This strategy makes use of these 3 key smart money concepts : Accumulation, Manipulation and Distribution. Each step is explained in detail within this write-up. For more information about the process, check the "HOW DOES IT WORK" section.
Features of the new ICT Power Of Three Indicator :
Implementation of ICT's Power Of Three Strategy
Different Algorithm Modes
Customizable Execution Settings
Customizable Backtesting Dashboard
Alerts for Buy, Sell, TP & SL Signals
📌 HOW DOES IT WORK ?
The "Power Of Three" comes from these three keywords "Accumulation, Manipulation and Distribution". Here is a brief explanation of each keyword :
Accumulation -> Accumulation phase is when the smart money accumulate their positions in a fixed range. This phase indicates price stability, generally meaning that the price constantly switches between up & down trend between a low and a high pivot point. When the indicator detects an accumulation zone, the Power Of Three strategy begins.
Manipulation -> When the smart money needs to increase their position sizes, they need retail traders' positions for liquidity. So, they manipulate the market into the opposite direction of their intended direction. This will result in retail traders opening positions the way that the smart money intended them to do, creating liquidity. After this step, the real move that the smart money intended begins.
Distribution -> This is when the real intention of the smart money comes into action. With the new liquidity thanks to the manipulation phase, the smart money add their positions towards the opposite direction of the retail mindset. The purpose of this indicator is to detect the accumulation and manipulation phases, and help the trader move towards the same direction as the smart money for their trades.
Detection Methods Of The Indicator :
Accumulation -> The indicator detects accumulation zones as explained step-by-step :
1. Draw two lines from the lowest point and the highest point of the latest X bars.
2. If the (high line - low line) is lower than Average True Range (ATR) * accumulationConstant
3. After the condition is validated, an accumulation zone is detected. The accumulation zone will be invalidated and manipulation phase will begin when the range is broken.
Manipulation -> If the accumulation range is broken, check if the current bar closes / wicks above the (high line + ATR * manipulationConstant) or below the (low line - ATR * manipulationConstant). If the condition is met, the indicator detects a manipulation zone.
Distribution -> The purpose of this indicator is to try to foresee the distribution zone, so instead of a detection, after the manipulation zone is detected the indicator automatically create a "shadow" distribution zone towards the opposite direction of the freshly detected manipulation zone. This shadow distribution zone comes with a take-profit and stop-loss layout, customizable by the trader in the settings.
The X bars, accumulationConstant and manipulationConstant are subject to change with the "Algorithm Mode" setting. Read the "Settings" section for more information.
This indicator follows these steps and inform you step by step by plotting them in your chart.
🚩UNIQUENESS
This indicator is an all-in-one suite for the ICT's Power Of Three concept. It's capable of plotting the strategy, giving signals, a backtesting dashboard and alerts feature. Different and customizable algorithm modes will help the trader fine-tune the indicator for the asset they are currently trading. The backtesting dashboard allows you to see how your settings perform in the current ticker. You can also set up alerts to get informed when the strategy is executable for different tickers.
⚙️SETTINGS
1. General Configuration
Algorithm Mode -> The indicator offers 3 different detection algorithm modes according to your needs. Here is the explanation of each mode.
a) Small Manipulation
This mode has the default bar length for the accumulation detection, but a lower manipulation constant, meaning that slighter imbalances in the price action can be detected as manipulation. This setting can be useful on tickers that have lower liquidity, thus can be manipulated easier.
b) Big Manipulation
This mode has the default bar length for the accumulation detection, but a higher manipulation constant, meaning that heavier imbalances on the price action are required in order to detect manipulation zones. This setting can be useful on tickers that have higher liquidity, thus can be manipulated harder.
c) Short Accumulation
This mode has a ~70% lower bar length requirement for accumulation zone detection, and the default manipulation constant. This setting can be useful on tickers that are highly volatile and do not enter accumulation phases too often.
Breakout Method -> If "Close" is selected, bar close price will be taken into calculation when Accumulation & Manipulation zone invalidation. If "Wick" is selected, a wick will be enough to validate the corresponding zone.
2. TP / SL
TP / SL Method -> If "Fixed" is selected, you can adjust the TP / SL ratios from the settings below. If "Dynamic" is selected, the TP / SL zones will be auto-determined by the algorithm.
Risk -> The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
3. Visuals
Show Zones -> Enables / Disables rendering of Accumulation (yellow) and Manipulation (red) zones.
Candle Wick Shadows [UkutaLabs]█ OVERVIEW
The Candle Wick Shadows Indicator identifies untested wicks in real time that occur when there is an imbalance in the number of buyers and sellers at a price-level. This imbalance occurs when a market exchange receives too many of one kind of order, and not enough of its counterpoint.
Candle Wick Shadows is a powerful trading indicator that will automatically identify and label strong ranges on traders’ charts that can be incorporated into a wide variety of different trading strategies.
█ USAGE
The script automatically identifies and measures real-time ranges of imbalance between buying and selling pressure in the market using real-time price-action information. These levels indicate potential Supply and Demand zones which serve to help the trader identify areas where price has changed direction in the past due to an imbalance of buyers and sellers.
The script also allows users to mirror higher time frame Candle Wick Shadows onto lower time frame charts to gain a stronger understanding of key levels on another scale.
█ SETTINGS
Configuration
- Show Labels: Determines whether or not identification labels are drawn on the chart.
- Max CWS Display: Determines the number of Candle Wick Shadows that will be drawn on the chart. This is for each higher timeframe option that is toggled, not the total.
Current Time Frame
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the current time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the current time frame.
- Bearish Color: Determines the color of bearish wick shadows from the current time frame.
5 Minute (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the 5 minute time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the 5 minute time frame.
- Bearish Color: Determines the color of bearish wick shadows from the 5 minute time frame.
15 Minute (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the 15 minute time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the 15 minute time frame.
- Bearish Color: Determines the color of bearish wick shadows from the 15 minute time frame.
30 Minute (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the 30 minute time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the 30 minute time frame.
- Bearish Color: Determines the color of bearish wick shadows from the 30 minute time frame.
60 Minute (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the 60 minute time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the 60 minute time frame.
- Bearish Color: Determines the color of bearish wick shadows from the 60 minute time frame.
240 Minute (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the 240 minute time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the 240 minute time frame.
- Bearish Color: Determines the color of bearish wick shadows from the 240 minute time frame.
Daily (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the daily time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the daily time frame.
- Bearish Color: Determines the color of bearish wick shadows from the daily time frame.
Candle Wick Retest [UkutaLabs]█ OVERVIEW
The Candle Wick Retest Indicator identifies untested wicks in real time that occur when there is an imbalance in the number of buyers and sellers at a price-level. This imbalance occurs when a market exchange receives too many of one kind of order, and not enough of its counterpoint.
Candle Wick Retest is a powerful trading indicator that will automatically identify and label strong ranges on traders’ charts that can be incorporated into a wide variety of different trading strategies.
█ USAGE
The script automatically identifies and measures real-time ranges of imbalance between buying and selling pressure in the market using real-time price-action information. These levels indicate potential Supply and Demand zones which serve to help the trader identify areas where price has changed direction in the past due to an imbalance of buyers and sellers.
The script also allows users to mirror higher time frame Candle Wick Retests onto lower time frame charts to gain a stronger understanding of key levels on another scale.
█ SETTINGS
Configuration
- Show Labels: Determines whether or not identification labels are drawn on the chart.
- Max CW Display: Determines the number of Candle Wick Retests that will be drawn on the chart. This is for each higher timeframe option that is toggled, not the total.
Current Time Frame
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the current time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the current time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the current time frame.
5 Minute (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the 5 minute chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the 5 minute time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the 5 minute time frame.
15 Minute (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the 15 minute time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the 15 minute time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the 15 minute time frame.
30 Minute (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the 30 minute time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the 30 minute time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the 30 minute time frame.
60 Minute (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the 60 minute time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the 60 minute time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the 60 minute time frame.
240 Minute (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the 240 minute time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the 240 minute time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the 240 minute time frame.
Daily (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the daily time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the daily time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the daily time frame.
ICT Immediate Rebalance [LuxAlgo]The ICT Immediate Rebalance aims at detecting and highlighting immediate rebalances, a concept taught by Inner Circle Trader. The ICT Immediate Rebalance, although frequently overlooked, emerges as one of ICT's most influential concepts, particularly when considered within a specific context.
🔶 USAGE
Immediate rebalances, a concept taught by ICT, hold significant importance in decision-making. To comprehend the concept of immediate rebalance, it's essential to grasp the notion of the fair value gap. A fair value gap arises from market inefficiencies or imbalances, whereas an immediate rebalance leaves no gap, no inefficiencies, or no imbalances that the price would need to return to.
Following an immediate rebalance, the typical expectation is for two extension candles to ensue; failing this, the immediate rebalance is deemed unsuccessful. It's important to note that both failed and successful immediate rebalances hold significance in trading when analyzed within a contextual framework.
Immediate rebalances can manifest across various locations and timeframes. It's recommended to analyze them in conjunction with other ICT tools or technical indicators to gain a more comprehensive understanding of market dynamics.
🔹 Multi Timeframe
The script facilitates multi-timeframe analysis, enabling users to display immediate rebalances from higher timeframes.
Enabling the display of higher timeframe candles helps visualize the detected immediate rebalance patterns.
🔹 Dashboard
The dashboard offers statistical insights into immediate rebalances.
🔶 SETTINGS
🔹 Immediate Rebalances
Timeframe: this option is to identify immediate rebalances from higher timeframes. If a timeframe lower than the chart's timeframe is selected, calculations will be based on the chart's timeframe.
Bullish, and Bearish Immediate Rebalances: color customization options.
Wicks 75%, %50, and %25: color customization options of the wick price levels for the detected immediate rebalances.
Immediate Rebalance Candles: toggles the visualization of higher timeframe candles where immediate rebalance is detected.
Confirmation (Bars): specifies the number of bars required to confirm the validation of the detected immediate rebalance.
Immediate Rebalance Icon: allows customization of the size of the icon used to represent the immediate rebalance.
🔹 Dashboard
Dashboard: toggles the visualization of the dashboard, sets its location, and customizes the size of the dashboard.
🔶 RELATED SCRIPTS
Fair-Value-Gap
Thanks to our community for recommending this script. For more conceptual scripts and related content, we welcome you to explore by visiting >>> LuxAlgo-Scripts .
Institutional Supply and Demand ZonesThis indicator aims to identify price levels where institutional investors have positioned their buy or sell orders. These buy orders establish "demand zones," while sell orders create "supply zones." Identifying these zones enables us to anticipate potential reversals in price trends, allowing us to profitably engage in these significant market movements alongside major institutions. These zones are formed when price action goes from balanced to imbalanced. These zones are based on orders. Unlike standard support and resistance levels, when price breaks below a demand zone or above a supply zone, these zones disappear from the chart.
Supply is formed by a green candle followed by a major red candle that is at least double the size of previous green candle. The zone is then charted from the open of the green candle to the highest point in the candle. Vice versa for a demand zone (red into green).
These zones are traded by:
1. Look for a volume spike in a zone
2. A trend/trendline break out of the zone
ICT HTF Candles [Source Code] (fadi)Plotting a configurable higher timeframe on current chart's timeframe helps visualize price movement without changing timeframes. It also plots FVG and Volume Imbalance on the higher timeframe for easier visualization.
With ICT concepts, we usually wait for HTF break of structure and then find an entry on a lower timeframe. With this indicator, we can set it to the HTF and watch the develop of price action until the break of structure happens. We can then take an entry on the current timeframe.
Settings
HTF Higher timeframe to plot
Number of candles to display The number of higher timeframe candles to display to the right of current price action
Body/Border/Wick The candle colors for the body, border, and wick
Padding from current candles The distance from current timeframe's candles
Space between candles Increase / decrease the candle spacing
Candle width The size of the candles
Imbalance
Fair Value Gap Show / Hide FVG on the higher timeframe
Volume Imbalance Show / Hide Volume Imbalance on the higher timeframe
Trace
Trace lines Extend the OHLC lines of the higher timeframe and the source of each
Label Show/Hide the price levels of the OHLC
Bar Magnified Volume Profile/Fixed Range [ChartPrime]This indicator draws a volume profile by utilizing data from the lower timeframe to get a more accurate representation of where volume occurred on a bar to bar basis. The indicator creates a price range, and then splits that price range into 100 grids by default. The indicator then drops down to the lower timeframe, approximately 16 times lower than the current timeframe being viewed on the chart, and then parses through all of the lower timeframe bars, and attributes the lower timeframe bar volume to all grids that it is touching. The volume is dispersed proportionally to the grids which it is touching by whatever percent of the candle is inside each grid. For example, if one of the lower timeframe bars is interacting with "2" of the grids in the profile, and 60% of the candle is inside of the top grid, 60% of the volume from said candle will be attributed to the grid.
To make all of this magic happen, this script utilizes a quadratic time complexity algorithm while parsing and attributing the volume to all of the grids. Due to this type of algorithm being used in the script, many of the user inputs have been limited to allow for simplicity, but also to prevent possible errors when executing loops. For the most part, all of the settings have been thoroughly tested and configured with the right amount of limitations to prevent these errors, but also still give the user a broad range of flexibility to adjust the script to their liking.
📗 SETTINGS
Lookback Period: The lookback period determines how many bars back the script will search for the "highest high" and the "lowest low" which will then be used to generate the grids in-between
Number Of Levels: This setting determines how many grids there will be within the volume profile/fixed range. This is personal preference, however it is capped at 100 to prevent time complexity issues
Profile Length: This setting allows you to stretch or thin the volume profile. A higher number will stretch it more, vise versa a smaller number will thin it further. This does not change the volume profiles results or values, only its visual appearance.
Profile Offset: This setting allows you to offset the profile to the left or right, in the event the user does not appreciate the positioning of the default location of the profile. A higher number will shift it to the right, vise versa a lower number will shift it to the left. This is personal preference and does not affect the results or values of the profile.
🧰 UTILITY
The volume profile/fixed range can be used in many ways. One of the most popular methods is to identify high volume areas on the chart to be used as trade entries or exits in the event of the price revisiting the high volume areas. Take this picture as an example. The image clearly demonstrates how the 2 highest areas of volume within this magnified volume profile also line up to great areas of support and resistance in the market.
Here are some other useful methods of using the volume profile/fixed range
Identify Key Support and Resistance Levels for Setups
Determine Logical Take Profits and Stop Losses
Calculate Initial R Multiplier
Identify Balanced vs Imbalanced Markets
Determine Strength of Trends
TOP GAINER V2
The "TOP GAINER" is a custom TradingView indicator designed to identify and trade high-potential momentum stocks, particularly top pre-market gainers with strong hype and volatility. It's tailored for day traders focusing on small-cap, low-float stocks that exhibit explosive price movements, allowing for quick entries and exits to capitalize on short-term pumps. This indicator combines technical signals (MACD, RSI, and EMA) with fundamental filters to spot setups in pre-market and early regular trading hours, ideally on a 5-minute chart for precise timing.
Key Features and How It Works
Scanning for Top Gainers: The indicator targets stocks that are among the day's top pre-market performers. It evaluates criteria like:
Price Range ($2–$20): Focuses on affordable stocks where you can buy a large number of shares with limited capital. Lower-priced stocks often have higher volatility, enabling them to double, triple, or more in a single session due to hype-driven momentum.
Pre-Market Gain (≥20%): Identifies stocks with significant upside from the pre-market open (4:00 AM ET), signaling strong early interest and potential for continuation.
High Volume (≥500,000 shares from pre-market open): Ensures liquidity and confirms genuine hype, as elevated pre-market volume often precedes big moves at market open.
Small Market Cap (<$500M): Prioritizes small-cap companies, which are more prone to rapid price swings from news, catalysts, or retail frenzy compared to large caps.
Low Float (<50M shares): Low-float stocks have fewer shares available for trading, making them susceptible to sharp rallies when demand surges (e.g., from social media buzz or short squeezes).
These criteria are displayed in a real-time table on the chart for quick scanning—green checkmarks (✅) indicate a match, red crosses (❌) show failures, and "N/A" appears if data is unavailable (e.g., for non-stocks).
Entry Signals (Buy Opportunities): Once a stock meets the filters, the indicator watches for bullish momentum during pre-market or at market open:
EMA Exit (default enabled): Sells when price crosses below a 40-period EMA (orange line), signaling a potential trend reversal. STRONGLY RECOMMEND TURNING THIS OFF
MACD Exit (default enabled, now using standard line/signal crossunder): Sells on a bearish MACD crossover for momentum-based exits.
Plots orange (EMA) or red (MACD) downward triangles above the bar for exits.
Built-in alerts notify you of buy and sell signals in real-time.
Why This Strategy?
This indicator is built for "hype trading" on volatile small-caps, where pre-market scanners highlight gappers, and the tool helps time entries post-open (e.g., on 5-min charts) to catch breakouts. Small floats and caps amplify moves— a 20%+ gainer with high volume can surge 50–200% intraday due to supply/demand imbalances. The $2–$20 range keeps it accessible: with $1,000, you could buy 500 shares of a $2 stock, turning a $1 gain into $500 profit. It's not for long-term investing but for scalping or swinging on daily catalysts like earnings, news, or memes.
Usage Tips
This tool streamlines spotting and trading "lotto plays" while providing visual and alert-based discipline for entries/exits.
Delta Volume Heatmap🔥 Delta Volume Heatmap
The Delta Volume Heatmap visualizes the real-time strength of per-bar delta volume — highlighting the imbalance between buying and selling pressure.
Each column’s color intensity reflects how strong the delta volume deviates from its moving average and standard deviation.
🟩 Green tones = Buy-dominant activity (bullish imbalance)
🟥 Red tones = Sell-dominant activity (bearish imbalance)
This tool helps traders quickly identify:
Abnormal volume spikes
Absorption or exhaustion zones
Potential reversal or continuation signals
