Multiple AVWAP [OmegaTools]The Multiple AVWAP indicator is a sophisticated trading tool designed for professional traders who require precision in volume-weighted price tracking. This indicator allows for the deployment of multiple Anchored Volume Weighted Average Price (AVWAP) calculations simultaneously, offering deep insights into price movements, dynamic support and resistance levels, and trend structures across multiple timeframes.
This indicator caters to both institutional and retail traders by integrating flexible anchoring methods, multi-timeframe adaptability, and enhanced visualization features. It also includes deviation bands for statistical analysis, making it a comprehensive volume-based trading solution.
Key Features & Functionalities
1. Multiple AVWAP Configurations
Users can configure up to four distinct AVWAP calculations to track different market conditions.
Supports various anchoring methods:
Fixed: A traditional AVWAP that starts from a defined historical point.
Perpetual: A rolling VWAP that continuously adjusts over time.
Extension: An extension-based AVWAP that projects from past calculations.
High Volume: Anchors AVWAP to the highest volume bar within a specified period.
None: Option to disable AVWAP calculation if not required.
2. Advanced Deviation Bands
Implements standard deviation bands (1st and 2nd deviation) to provide a statistical measure of price dispersion from the AVWAP.
Serves as a dynamic method for identifying overbought and oversold conditions relative to VWAP pricing.
Deviation bands are customizable in terms of visibility, color, and transparency.
3. Multi-Timeframe Support
Users can assign different timeframes to each AVWAP calculation for macro and micro analysis.
Helps in identifying long-term institutional trading levels alongside short-term intraday trends.
4. Z-Score Normalization Mode
Option to standardize oscillator values based on AVWAP deviations.
Converts price movements into a statistical Z-score, allowing traders to measure price strength in a normalized range.
Helps in detecting extreme price dislocations and mean-reversion opportunities.
5. Customizable Visual & Aesthetic Settings
Fully customizable line colors, transparency, and thickness to enhance clarity.
Users can modify AVWAP and deviation band colors to distinguish between different levels.
Configurable display options to match personal trading preferences.
6. Oscillator Mode for Trend & Momentum Analysis
The indicator converts price deviations into an oscillator format, displaying AVWAP strength and weakness dynamically.
This provides traders with a momentum-based perspective on volume-weighted price movements.
User Guide & Implementation
1. Configuring AVWAPs for Optimal Use
Choose the mode for each AVWAP instance:
Fixed (set historical point)
Perpetual (rolling, continuously updated AVWAP)
Extension (projection from past AVWAP levels)
High Volume (anchored to highest volume bar)
None (disables the AVWAP line)
Adjust the length settings to fine-tune calculation sensitivity.
2. Utilizing Deviation Bands for Market Context
Activate deviation bands to see statistical boundaries of price action.
Monitor +1 / -1 and +2 / -2 standard deviation levels for extended price movements.
Consider price action outside of deviation bands as potential mean-reversion signals.
3. Multi-Timeframe Analysis for Institutional-Level Insights
Assign different timeframes to each AVWAP to compare:
Daily VWAP (institutional trading levels)
Weekly VWAP (swing trading trends)
Intraday VWAPs (short-term momentum shifts)
Helps identify where institutional liquidity is positioned relative to price.
4. Activating the Oscillator for Momentum & Bias Confirmation
The oscillator converts AVWAP deviations into a normalized value.
Use overbought/oversold levels to determine strength and potential reversals.
Combine with other indicators (RSI, MACD) for confluence-based trading decisions.
Trading Applications & Strategies
5. Trend Confirmation & Institutional VWAP Tracking
If price consistently holds above the primary AVWAP, it signals a bullish trend.
If price remains below AVWAP, it indicates selling pressure and a bearish trend.
Monitor retests of AVWAP levels for potential trend continuation or reversal.
6. Dynamic Support & Resistance Levels
AVWAP lines act as dynamic floating support and resistance zones.
Price bouncing off AVWAP suggests continuation, whereas breakdowns indicate a shift in momentum.
Look for confluence with high-volume zones for stronger trade signals.
7. Mean Reversion & Statistical Edge Trading
Prices that deviate beyond +2 or -2 standard deviations often revert toward AVWAP.
Mean reversion traders can fade extended moves and target AVWAP re-tests.
Helps in identifying exhaustion points in trending markets.
8. Institutional Liquidity & Volume Footprints
Institutions often execute large trades near VWAP zones, causing price reactions.
Tracking multi-timeframe AVWAP levels allows traders to anticipate key liquidity areas.
Use higher timeframe AVWAPs as macro support/resistance for swing trading setups.
9. Enhancing Momentum Trading with AVWAP Oscillator
The oscillator provides a momentum-based measure of AVWAP deviations.
Helps in confirming entry and exit timing for trend-following trades.
Useful for pairing with stochastic oscillators, MACD, or RSI to validate trade decisions.
Best Practices & Trading Tips
Use in Conjunction with Volume Analysis: Combine with volume profiles, OBV, or CVD for increased accuracy.
Adjust Timeframes Based on Trading Style: Scalpers can focus on short-term AVWAP, while swing traders benefit from weekly/daily AVWAP tracking.
Backtest Different AVWAP Configurations: Experiment with different anchoring methods and lookback periods to optimize trade performance.
Monitor Institutional Order Flow: Identify key VWAP zones where institutional traders may be active.
Use with Other Technical Indicators: Enhance trading confidence by integrating with moving averages, Bollinger Bands, or Fibonacci retracements.
Final Thoughts & Disclaimer
The Multiple AVWAP indicator provides a comprehensive approach to volume-weighted price tracking, making it ideal for professional traders. While this tool enhances market clarity and trade decision-making, it should be used as part of a well-rounded trading strategy with risk management principles in place.
This indicator is provided for informational and educational purposes only. Trading involves risk, and past performance is not indicative of future results. Always conduct your own analysis and due diligence before executing trades.
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TrendPredator PROThe TrendPredator PRO
Stacey Burke, a seasoned trader and mentor, developed his trading system over the years, drawing insights from influential figures such as George Douglas Taylor, Tony Crabel, Steve Mauro, and Robert Schabacker. His popular system integrates select concepts from these experts into a consistent framework. While powerful, it remains highly discretionary, requiring significant real-time analysis, which can be challenging for novice traders.
The TrendPredator indicators support this approach by automating the essential analysis required to trade the system effectively and incorporating mechanical bias and a multi-timeframe concept. They provide value to traders by significantly reducing the time needed for session preparation, offering all relevant chart analysis and signals for live trading in real-time.
The PRO version offers an advanced pattern identification logic that highlights developing context as well as setups related to the constellation of the signals provided. It provides real-time interpretation of the multi-timeframe analysis table, following an extensive underlying logic with more than 150 different setup variations specifically developed for the system and indicator. These setups are constantly back- and forward-tested and updated according to the results. This version is tailored to traders primarily trading this system and following the related setups in detail.
The former TrendPredator ES version does not provide that option. It is significantly leaner and is designed for traders who want to use the multi-timeframe logic as additional confluence for their trading style. It is very well suited to support many other trading styles, including SMC and ICT.
The Multi-timeframe Master Pattern
Inspired by Taylor’s 3-day cycle and Steve Mauro’s work with “Beat the Market Maker,” Burke’s system views markets as cyclical, driven by the manipulative patterns of market makers. These patterns often trap traders at the extremes of moves above or below significant levels with peak formations, then reverse to utilize their liquidity, initiating the next phase. Breakouts away from these traps often lead to range expansions, as described by Tony Crabel and Robert Schabacker. After multiple consecutive breakouts, especially after the psychological number three, overextension might develop. A break in structure may then lead to reversals or pullbacks. The TrendPredator Indicator and the related multi-timeframe trading system are designed to track these cycles on the daily timeframe and provide signals and trade setups to navigate them.
Bias Logic and Multi-Timeframe Concept
The indicator covers the basic signals of Stacey Burke's system:
- First Red Day (FRD): Bearish break in structure, signalling weak longs in the market.
- First Green Day (FGD): Bullish break in structure signalling weak shorts in the markt.
- Three Days of Longs (3DL): Overextension signalling potential weak longs in the market.
- Three Days of Shorts (3DS): Overextension signalling potential weak shorts in the market.
- Inside Day (ID): Contraction, signalling potential impulsive reversal or range expansion move.
It enhances the original system by introducing:
Structured Bias Logic:
Tracks bias by following how price trades concerning the last previous candle high or low that was hit. For example if the high was hit, we are bullish above and bearish below.
- Bullish state: Breakout (BO), Fakeout Low (FOL)
- Bearish state: Breakdown (BD), Fakeout High (FOH)
Multi-Timeframe Perspective:
- Tracks all signals across H4, H8, D, W, and M timeframes, to look for alignment and follow trends and momentum in a mechanical way.
Developing Context:
- Identifies specific predefined context states based on the monthly, weekly and daily bias.
Developing Setups:
- Identifies specific predefined setups based on context and H8 bias as well as SB signals.
The indicator monitors the bias and signals of the system across all relevant timeframes and automates the related graphical chart analysis as well as context and setup zone identification. In addition to the master pattern, the system helps to identify the higher timeframe situation and follow the moves driven by other timeframe traders to then identify favourable context and setup situations for the trader.
Example: Full Bullish Cycle on the Daily Timeframe with Multi-Timeframe Signals
- The Trap/Peak Formation
The market breaks down from a previous day’s and maybe week’s low—potentially after multiple breakdowns—but fails to move lower and pulls back up to form a peak formation low and closes as a first green day.
MTF Signals: Bullish daily and weekly fakeout low; three consecutive breakdown days (1W Curr FOL, 1D Curr FOL, BO 3S).
Context: Reversal (REV)
Setup: Fakeout low continuation low of day (FOL Cont LOD)
- Pullback and Consolidation
The next day pulls further up after first green day signal, potentially consolidates inside the previous day’s range.
MTF Signals: Fakeout low and first green day closing as an inside day (1D Curr IS, Prev FOL, First G).
Context: Reversal continuation (REV Cont)
Setup: Previous fakeout low continuation low handing fruit (Prev FOL Cont LHF)
- Range Expansion/Trend
The following day breaks up through the previous day’s high, launching a range expansion away from the trap.
MTF Signals: Bullish daily breakout of an inside day (1D Curr BO, Prev IS).
Context: Uptrend healthy (UT)
Setup: Breakout continuation low hanging fruit (BO Cont LHF)
- Overextension
After multiple consecutive breakouts, the market reaches a state of overextension, signalling a possible reversal or pullback.
MTF Signals: Three days of breakout longs (1D Curr BO, Prev BO, BO 3L).
Context: Uptrend extended (UT)
- Reversal
After a breakout of previous days high that fails, price pulls away from the high showing a rollover of momentum across all timeframes and a potential short setup.
MTF Signals: Three days of breakout longs, daily fakeout high (1D 3L, FOH)
Context: Reversal countertrend (REV)
Setup: Fakeout high continuation high of day (FOH Cont HOD)
Note: This is only one possible illustrative scenario; there are many variations and combinations.
Example Chart: Full Bullish Cycle with Correlated Signals
Multi-Timeframe Signals examples:
Context and Setups examples:
Note: The signals shown along the move are manually added illustrations. The indicator shows these in realtime in the table at top and bottom right. This is only one possible scenario; there are many variations and combinations.
Due to the fractal nature of markets, this cycle can be observed across all timeframes. The strongest setups occur when there is multi-timeframe alignment. For example, a peak formation and potential reversal on the daily timeframe have higher probability and follow-through when they align with bearish signals on higher timeframes (e.g., weekly/monthly BD/FOH) and confirmation on lower timeframes (H4/H8 FOH/BD). With this perspective, the system enables the trader to follow the trend and momentum while identifying rollover points in a highly differentiated and precise way.
Using the Indicator for Trading
The automated analysis provided by the indicator can be used for thesis generation in preparation for a session as well as for live trading, leveraging the real-time updates as well as the context and setup indicated or alerted. It is recommended to customize the settings deeply, such as hiding the lower timeframes for thesis generation or the specific alert time window and settings to the specific trading schedule and playbook of the trader.
1. Context Assessment:
Evaluate alignment of higher timeframes (e.g., Month/Week, Week/Day). More alignment → Stronger setups.
- The context table offers an interpretation of the higher timeframe automatically. See below for further details.
2. Setup Identification:
Follow the bias of daily and H8 timeframes. A setup mostly requires alignment of these.
Setup Types:
- Trend Trade: Trade in alignment with the previous day’s trend.
Example: Price above the previous day’s high → Focus on long setups (dBO, H8 FOL) until overextension or reversal signs appear (H8 BO 3L, First R).
- Reversal Trade: Identify reversal setups when lower timeframes show rollovers after higher timeframe weakness.
Example: Price below the previous day’s high → Look for reversal signals at the current high of day (H8 FOH, BO 3L, First R).
- The setup table shows potential setups for the specific price zone in the table automatically. See below for further details.
3. Entry Confirmation:
Confirm entries based on H8 and H4 alignment, candle closes and lower timeframe fakeouts.
- H8 and H4 should always align for a final confirmation, meaning the breach lines should be both in the back of a potential trade setup.
- M15/ 5 candle close can be seen as acceptance beyond a level or within the setup zone.
- M15/5 FOH/ FOL signals lower timeframe traps potentially indicating further confirmation.
Example Chart Reversal Trade:
Context: REV (yellow), Reversal counter trend, Month in FOL with bearish First R, Week in BO but bearishly overextended with BO 3L, Day in Fakeout high reversing bearishly.
Setup: FOH Cont HOD (red), Day in Fakeout high after BO 3L overextension, confirmed by H8 FOH high of day, First R as further confluence. Two star quality and countertrend.
Entry: H4 BD, M15 close below followed by M15 FOH.
Detailed Features and Options
1. Context and Setup table
The Context and Setup Table is the core feature of the TrendPredator PRO indicator. It delivers real-time interpretation of the multi-timeframe analysis based on an extensive underlying logic table with over 150 variations, specifically developed for this system and indicator. This logic is continuously updated and optimized to ensure accuracy and performance.
1.1. Developing Context
States for developing higher timeframe context are determined based on signals from the monthly, weekly, and daily timeframes.
- Green and Red indicate alignment and potentially interesting developing setups.
- Yellow signals a mixed or conflicting bias, suggesting caution when taking trades.
The specific states are:
- UT (yellow): Uptrend extended
- UT (green): Uptrend healthy
- REV (yellow): Reversal day counter trend
- REV (green): Reversal day mixed trend
- REV Cont (green): Reversal continuation mixed trend
- REV Cont (yellow): Reversal continuation counter trend
- REV into UT (green): Reversal day into uptrend
- REV Cont into UT (green): Reversal continuation into uptrend
- UT Pullback (yellow): Counter uptrend breakdown day
- Conflicting (yellow): Conflicting signals
- Consolidating (yellow): Consolidating sideways
- Inside (yellow): Trading inside after an inside week
- DT Pullback (yellow): Counter downtrend breakout day
- REV Cont into DT (red): Reversal continuation into downtrend
- REV into DT (red): Reversal day into downtrend
- REV Cont (yellow): Reversal continuation counter trend
- REV Cont (red): Reversal continuation mixed trend
- REV (red): Reversal day mixed trend
- REV (yellow): Reversal day countertrend
- DT (red): Downtrend healthy
- DT (yellow): Downtrend extended
Example: Uptrend
The Uptrend Context (UT, green) indicates a healthy uptrend with all timeframes aligning bullishly. In this case, the monthly is in a Fakeout Low (FOL) and currently inside the range, while the weekly and daily are both in Breakout (BO) states. This context is favorable for developing long setups in the direction of the trend.
Example: Uptrend pullback
The Uptrend Pullback Context (UT Pullback, yellow) indicates a Breakdown (BD) on the daily timeframe against a higher timeframe uptrend. In this case, the monthly is in a Fakeout Low (FOL) and currently inside its range, the weekly is in Breakout (BO) and also currently inside, while the daily is in Breakdown (BD). This context reflects a conflicting situation—potentially signaling either an early reversal back into the uptrend or, if the breakdown extends, the beginning of a possible trend change.
Example: Reversal into Uptrend
The Reversal into Uptrend Context (REV into UT, green) indicates a lower timeframe reversal aligning with a higher timeframe uptrend. In this case, the monthly is in Breakout (BO), the weekly is in Breakout (BO) and currently inside its range, while the daily is showing a bullish Fakeout Low (FOL) reversal. This context is potentially very favorable for long setups, as it signals a strong continuation of the uptrend supported across multiple timeframes.
Example: Reversal
The Bearish Reversal Context indicates a lower timeframe rollover within an ongoing higher timeframe uptrend. In this case, the monthly remains in Breakout (BO), the weekly has shifted into a Fakeout High (FOH) after three weeks of breakout longs, and the daily is already in Breakdown (BD). This context suggests a potentially favorable developing short setup, as early signs of weakness appear across timeframes.
1.2. Developing Setup
The states for specific setups are based on the context and the signals from the daily timeframe and H8, indicating that price is in the zone of alignment. The setup description refers to the state of the daily timeframe, while the suffix relates to the H8 timeframe. For example, "prev FOH Cont LHF" means that the previous day is in FOH (Fakeout High) relative to yesterday's breakout level, currently trading inside, and we are in an H8 breakdown, indicating a potential LHF (Lower High Formation) short trade if the entry confirms. The suffix HOD means that H8 is in FOH or BO (Breakout).
The specific states are:
- REV HOD (red): Reversal high of day
- REV Cont LHF (red): Reversal continuation low hanging fruit
- BO Cont LHF (green): Breakout continuation low hanging fruit
- BO Cont LOD (green): Breakout continuation low of day
- FOH Cont HOD (red): Fakeout high continuation high of day
- FOH Cont LHF ((red): Fakeout high continuation low hanging fruit
- prev BD Cont HOD (red): Previous breakdown continuation high of day
- prev BD Cont LHF (red): Previous breakdown continuation low hanging fruit
- prev FOH Cont HOD (red): Previous fakeout high continuation high of day
- prev FOH Cont LHF (red): Previous fakeout high continuation low hanging fruit
- prev FOL Cont LOD (green): Previous fakeout low continuation low of day
- prev FOL Cont LHF (green): Previous fakeout low continuation low hanging fruit
- prev BO Cont LOD (green): Previous breakout continuation low of day
- prev BO Cont LHF (green): Previous breakout continuation low hanging fruit
- FOL Cont LHF (green): Fakeout low continuation low hanging fruit
- FOL Cont LOD (green): Fakeout low continuation low of day
- BD Cont LHF (red): BD continuation low hanging fruit
- BD Cont LOD (red): Breakdown continuation low of day
- REV Cont LHF (green): Reversal continuation low hanging fruit
- REV LOD (green): Reversal low of day
- Inside: Trading inside after an inside day
Type: Indicates the situation of the indicated setup concerning:
- Trend: Following higher timeframe trend
- Mixed: Mixed higher timeframe signals
- Counter: Against higher timeframe bias
Quality: Indicates the quality of the indicated setup according to the specified logic table
No star: Very low quality
* One star: Low quality
** Two star: Medium quality
*** Three star: High quality
Example: Breakout Continuation Trend Setup
This setup highlights a healthy uptrend where the month is in a breakout, the week is in a fakeout low, and the day is in a breakout after a first green day. As the H8 breaks out to the upside, a long setup zone is triggered, presenting a breakout continuation low-hanging fruit trade. This is a trend trade in an overextended situation on the H8, with an H8 3L, resulting in an overall quality rating of one star.
Example: Fakeout Low Continuation Trend Setup
This setup shows a reversal into uptrend, with the month in a breakout, the week in a breakout, and the day in a fakeout low after breaking down the previous day and now reversing back up. As H8 breaks out to the upside, a long setup zone is triggered, presenting a previous fakeout low continuation, low-hanging fruit trade. This is a medium-quality trend trade.
Example: Reversal Setup - Mixed Trend
This setup shows a reversal setup in line with the weekly trend, with the month in a fakeout low, the week in a fakeout high, and the day in a fakeout high after breaking out earlier in the day and now reversing back down. As H8 loses the previous breakout level after 3 breakouts (with H8 3L), a short setup zone is triggered, presenting a fakeout high continuation at the high of the day. This is a high-quality trade in a mixed trend situation.
Setup Alerts:
Alerts can be activated for setups freshly triggered on the chart within your trading window.
Detailed filter logic for setup alerts:
- Setup quality: 1-3 star
- Setup type: Counter, Mixed and Trend
- Setup category: e.g. Reversal Bearish, Breakout, Previous Fakeout High
- 1D BO and First signals: 3DS, 3DL, FRD, FGD, ID
Options:
- Alerts on/ off
- Alert time window (from/ to)
- Alert filter customization
Note: To activate alerts from a script in TradingView, some settings need to be adjusted. Open the "Create Alert" dialog and select the option "Any alert() function call" in the "Condition" section. Choose "TrendPredator PRO" to ensure that alerts trigger properly from the code. Alerts can be activated for entire watchlists or individual pairs. Once activated, the alerts run in the background and notify the user whenever a setup is freshly triggered according to the filter settings.
2. Multi-Timeframe Table
Provides a real-time view of system signals, including:
Current Timeframe (Curr): Bias states.
- Breakout (green BO): Bullish after breaking above the previous high.
- Fakeout High (red FOH): Bearish after breaking above the previous high but pulling back down.
- Breakdown (red BD): Bearish after breaking below the previous low.
- Fakeout Low (green FOL): Bullish after breaking below the previous low but pulling back up.
- Inside (IS): Price trading neutral inside the previous range, taking the previous bias (color indicates the previous bias).
Previous Timeframe (Prev): Tracks last candle bias state and transitions dynamically.
- Bias for last candle: BO, FOH, BD, FOL in respective colors.
- Inside bar (yellow IS): Indicated as standalone signal.
Note: Also previous timeframes get constantly updated in real time to track the bias state in relation to the level that was hit. This means a BO can still lose the level and become a FOH, and vice versa, and a BD can still become a FOL, and vice versa. This is critical to see for example if traders that are trapped in that timeframe with a FOH or FOL are released. An inside bar stays fixed, though, since no level was hit in that timeframe.
Breakouts (BO): Breakout count 3 longs and 3 shorts.
- 3 Longs (red 3L): Bearish after three breakouts without hitting a previous low.
- 3 Shorts (green 3S): Bullish after three breakdowns without hitting a previous high.
First Countertrend Close (First): Tracks First Red or Green Day.
- First Green (G): After two consecutive red closes.
- First Red (R): After two consecutive green closes.
Options: Customizable font size and label colors.
3. Historic Highs and Lows
Displays historic highs and lows per timeframe for added context, enabling users to track sequences over time.
Timeframes: H4, H8, D, W, M
Options: Customize for timeframes shown, number of historic candles per timeframe, colors, formats, and labels.
4. Previous High and Low Extensions
Displays extended previous levels (high, low, and close) for each timeframe to assess how price trades relative to these levels.
H4: P4H, P4L, P4C
H8: P8H, P8L, P8C
Daily: PDH, PDL, PDC
Weekly: PWH, PWL, PWC
Monthly: PMH, PML, PMC
Options: Fully customizable for timeframes shown, colors, formats, and labels.
5. Breach Lines
Tracks live market reactions (e.g., breakouts or fakeouts) per timeframe for the last previous high or low that was hit, highlighting these levels originating at the breached candle to indicate bias (color-coded).
Red: Bearish below
Green: Bullish above
H4: 4FOL, 4FOH, 4BO, 4BD
H8: 8FOL, 8FOH, 8BO, 8BD
D: dFOL, dFOH, dBO, dBD
W: wFOL, wFOH, wBO, wBD
M: mFOL, mFOH, mBO, mBD
Options: Fully customizable for timeframes shown, colors, formats, and labels.
Overall Options:
Toggle single feature groups on/off.
Customize H8 open/close time as an offset to UTC to be provider independent.
Colour settings con be adjusted for dark or bright backgrounds.
Higher Timeframe Use Case Examples
Example Use Case: Weekly Template Analysis
The Weekly Template is a core concept in Stacey Burke’s trading style. The analysis is conducted on the daily timeframe, focusing on the higher timeframe bias and identifying overextended conditions within the week—such as multiple breakouts and peak formations signaling potential reversals.
In this example, the candles are colored by the TrendPredator FO indicator, which highlights the state of individual candles. This allows for precise evaluation of both the trend state and the developing weekly template. It is a valuable tool for thesis generation before a trading session and for backtesting purposes.
Example Use Case: High Timeframe 5-Star Setup Analysis (Stacey Burke "ain't coming back" ACB Template)
This analysis identifies high-probability trade opportunities when daily breakout or breakdown closes occur near key monthly levels mid-week, signaling overextensions and potentially large parabolic moves. The key signal to look for is a breakout or breakdown close on a Wednesday. This is useful for thesis generation before a session and also for backtesting.
In this example, the TrendPredator FO indicator colors the candles to highlight individual candle states, particularly those that close in breakout or breakdown. Additionally, an indicator is shown on the chart shading every Wednesday, making it easier to visually identify the signals.
5 Star Alerts:
Alerts can be activated for this potential 5-Star setup constellation. The alert is triggered when there is a breakout or breakdown close on a Wednesday.
Further recommendations:
- Higher timeframe context: TPO or volume profile indicators can be used to gain an even better overview.
- Late session trading: Entries later in the session, such as during the 3rd hour of the NY session, offer better analysis and follow-through on setups.
- Entry confirmation: Momentum indicators like VWAP, Supertrend, or EMA are helpful for increasing precision. Additionally, tracking lower timeframe fakeouts can provide powerful confluence. To track those the TrendPredator Fakeout Highlighter (FO), that has been specifically developed for this can be of great help:
Limitations:
Data availability using TradingView has its limitations. The indicator leverages only the real-time data available for the specific timeframe being used. This means it cannot access data from timeframes lower than the one displayed on the chart. For example, if you are on a daily chart, it cannot use H8 data. Additionally, on very low timeframes, the historical availability of data might be limited, making higher timeframe signals unreliable.
To address this, the indicator automatically hides the affected columns in these specific situations, preventing false signals.
Disclaimer
This indicator is for educational purposes only and does not guarantee profits.
None of the information provided shall be considered financial advice.
The indicator does not provide final buy or sell signals but highlights zones for potential setups.
Users are fully responsible for their trading decisions and outcomes.
Volume Delta & Order Block Suite [QuantAlgo]Upgrade your volume analysis and order flow trading with Volume Delta & Order Block Suite by QuantAlgo, a sophisticated technical indicator that leverages advanced volume delta calculations, along with dynamic order block detection to provide deep insights into market participant behavior. By calculating the distribution of volume between buyers and sellers and tracking pivotal volume zones, the indicator helps traders understand the underlying forces driving price movements. It is particularly valuable for those looking to identify high-probability trading opportunities based on volume imbalances and key price levels where significant activity has occurred.
🟢 Technical Foundation
The Volume Delta & Order Block Suite utilizes sophisticated volume analysis techniques to estimate buying and selling pressure within each price candle. The core volume delta calculation employs a formula that estimates buy volume as: Volume × (Close - Low) ÷ (High - Low) , with sell volume calculated as the remainder of total volume. This approach assumes that when price closes near the high of a candle, most volume represents buying pressure, and when price closes near the low, most volume represents selling pressure.
For order block detection, the indicator implements a multi-step process involving volume pivot identification and price state tracking. It first detects significant volume pivot points using the ta.pivothigh function with a user-defined pivot period. It then tracks the market's order state based on whether the high exceeds the highest high or the low falls below the lowest low. When a volume pivot occurs, the indicator creates order blocks based on price levels at that pivot point. These blocks are continuously monitored for invalidation based on subsequent price action.
🟢 Key Features & Signals
1. Volume Delta Representation on Candles
The Volume Delta visualization on candles shows the buy/sell distribution directly on price bars, creating an immediate visual representation of volume pressure.
When buyers are dominant, candles are colored with the bullish theme color (default: green/teal).
Similarly, when sellers are dominant, candles are colored with the bearish theme color (default: red).
This visualization provides immediate insights into underlying volume pressure without requiring separate indicators, helping traders quickly identify which side of the market is in control.
2. Buy/Sell Pressure Information Table
The Volume Analysis Table provides a comprehensive breakdown of volume metrics across multiple timeframes, helping traders identify shifts in market behavior.
The table is organized into four timeframe columns:
Current Volume
1 Bar Before
1 Day Before
1 Week Before
For each timeframe, the table displays:
Buy volume: The estimated buying volume based on price action
Sell volume: The estimated selling volume based on price action
Total volume: The sum of buy and sell volume
Delta: The difference between buy and sell volume (positive when buyers are dominant, negative when sellers are dominant)
Additionally, the table shows both absolute values and percentage distributions, with trend indicators (Up, Down, or Neutral) at the bottom row of each timeframe column.
This multi-timeframe approach helps traders:
→ Identify volume imbalances between buyers and sellers
→ Track changes in volume delta across different periods
→ Compare current conditions with historical patterns
→ Detect potential reversals by watching for shifts in delta direction
The delta values are particularly useful as they provide a clear indication of market dominance – positive delta (Up) when buyers are dominant, and negative delta (Down) when sellers are dominant.
3. Order Blocks and Their Confluence
Order blocks represent significant price zones where volume pivots occur, potentially indicating areas of significant market participant activity.
The indicator identifies two types of order blocks:
Bullish Order Blocks (support): Highlighted with a green/teal color, these represent potential support areas where price might bounce when revisited
Bearish Order Blocks (resistance): Highlighted with a red color, these represent potential resistance areas where price might reverse when revisited
Each order block is visualized as a colored rectangle with a dashed line showing the average price within the block. The blocks are extended to the right until they are invalidated.
Order blocks can serve as key reference points for trading decisions, for example:
Support/resistance identification
Stop loss placement (beyond the opposite edge of the block)
Potential reversal zones
Target areas for profit-taking
When price approaches an order block, traders should look for confluence with the volume delta on candles and the information in the volume analysis table. Strong setups occur when all three components align – for example, when price approaches a bearish order block with increasing sell volume shown on the candles and in the volume table.
🟢 Practical Usage Tips
→ Volume Analysis and Interpretation: The indicator visualizes the buy/sell volume ratio directly on price candles using color intensity, allowing traders to immediately identify which side (buyers or sellers) is dominant. This information helps in assessing the strength behind price movements and potential continuation or reversal signals.
→ Order Block Trading Strategies: The indicator highlights significant price zones where volume pivots occur, marking these as potential support (bullish order blocks) or resistance (bearish order blocks). Traders can use these levels to identify potential reversal points, stop placement, and profit targets.
→ Multi-timeframe Volume Comparison: Through its comprehensive volume analysis table, the indicator enables traders to compare volume patterns across current, recent, daily, and weekly timeframes. This helps in identifying shifts in market behavior and confirming the strength of ongoing trends.
🟢 Pro Tips
Adjust Pivot Period based on your timeframe:
→ Lower values (3-5) for more frequent order blocks
→ Higher values (7-10) for stronger, less frequent order blocks
Fine-tune Mitigation Method based on your trading style:
→ "Wick" for more conservative invalidation
→ "Close" for more lenient order block survival
Look for confluence between components:
→ Strong volume delta in the expected direction when price touches an order block
→ Corresponding patterns in the volume analysis table
→ Overall market context aligning with the expected direction
Use for multiple trading approaches:
→ Support/resistance trading at order blocks
→ Trend confirmation with volume delta
→ Reversal detection when volume delta changes direction
→ Stop loss placement using order block boundaries
Combine with:
→ Trend analysis using trend-following indicators for trade confirmation
→ Multiple timeframe analysis for strategic context
TrendPredator ESThe TrendPredator Essential (ES)
Stacey Burke, a seasoned trader and mentor, developed his trading system over the years, drawing insights from influential figures such as George Douglas Taylor, Tony Crabel, Steve Mauro, and Robert Schabacker. His popular system integrates select concepts from these experts into a consistent framework. While powerful, it is highly discretionary, requiring significant real-time analysis, which can be challenging for novice traders.
The TrendPredator ES indicator supports this approach by automating the essential analysis required to trade the system effectively and incorporating a mechanical bias and multi-timeframe concept.
It provides value to traders by significantly reducing the time needed for session preparation and offering relevant chart analysis and signals for live trading through real-time updates and a unique consolidated table format.
The Stacey Burke Master Pattern
Inspired by Taylor’s 3-day cycle and Steve Mauro’s work with “Beat the Market Maker,” Burke’s system views markets as cyclical, driven by the manipulative patterns of market makers. These patterns often trap traders at the extremes of moves above or below significant levels with peak formations, then reverse to utilize their liquidity, initiating the next phase. Breakouts away from these traps often lead to range expansions, as described by Tony Crabel and Robert Schabacker. After multiple consecutive breakouts, especially after the psychological number three, overextension might develop. A break in structure may then lead to reversals or pullbacks. Burke’s system is designed to track these cycles on the daily timeframe and provides signals and trade setups to navigate along them.
Bias Logic and Multi-Timeframe Concept
The indicator covers the basic signals of his system:
- First Red Day (FRD): Bearish break in structure, signalling weak longs in the market.
- First Green Day (FGD): Bullish break in structure signalling weak shorts in the markt.
- Three Days of Longs (3DL): Overextension signalling potential weak longs in the market.
- Three Days of Shorts (3DS): Overextension signalling potential weak shorts in the market.
- Inside Day (ID): Contraction, signalling potential impulsive reversal or range expansion move.
It enhances the original system by introducing:
Structured Bias Logic:
Tracks bias by following how price trades concerning the last previous candle high or low that was hit. For example if the high was hit, we are bullish above and bearish below.
- Bullish state: Breakout (BO), Fakeout Low (FOL)
- Bearish state: Breakdown (BD), Fakeout High (FOH)
Multi-Timeframe Perspective:
- Tracks all signals across H4, H8, D, W, and M timeframes, to look for alignment and follow trends and momentum in a mechanical way.
The indicator monitors the bias and signals of the system across all relevant timeframes and automates the related graphical chart analysis to generate the information needed for the trader to identify key setups. Additional to the SB pattern, the system helps to identify the higher timeframe situation and follow the moves driven by other timeframe traders.
Example: Full Bullish Cycle on the Daily Timeframe with Signals
- The Trap/Peak Formation
The market breaks down from a previous day’s and maybe week’s low—potentially after multiple breakdowns—but fails to move lower and pulls back up to form a peak formation low and closes as a first green day.
Signal: Bullish daily and weekly fakeout low; three consecutive breakdown days (1W Curr FOL, 1D Curr FOL, BO 3S).
- Pullback and Consolidation
The next day pulls further up after first green day signal, potentially consolidates inside the previous day’s range.
Signal: Fakeout low and first green day closing as an inside day (1D Curr IS, Prev FOL, First G).
- Range Expansion/Trend
The following day breaks up through the previous day’s high, launching a range expansion away from the trap.
Signal: Bullish daily breakout of an inside day (1D Curr BO, Prev IS).
- Overextension
After multiple consecutive breakouts, the market reaches a state of overextension, signalling a possible reversal or pullback.
Signal: Three days of breakout longs (1D Curr BO, Prev BO, BO 3L).
Note: This is only one possible scenario; there are many variations and combinations.
Example Chart: Full Bullish Cycle with Correlated Signals
Note: The signals shown along the move are manually added illustrations. The indicator shows these in realtime in the table at the bottom right. This is only one possible scenario; there are many variations and combinations.
Due to the fractal nature of markets, this cycle can be observed across timeframes. The strongest setups show multi-timeframe alignment. For example, a peak formation and potential reversal on the daily timeframe has high probability and follow-through if it also aligns with bearish signals on higher timeframes (e.g., weekly/monthly BD/FOH) and confirmation on lower timeframes (H4/H8 FOH/BD). With this perspective the system enables the trader to follow the trend and momentum and identify rollover points in a very differentiated way.
Detailed Features and Options
1. Historic Highs and Lows
Displays historic highs and lows per timeframe for added context, enabling users to track sequences over time.
Timeframes: H4, H8, D, W, M
Options: Customize for timeframes shown, number of historic candles per timeframe, colors, formats, and labels.
2. Previous High and Low Extensions
Displays extended previous levels (high, low, and close) for each timeframe to assess how price trades relative to these levels.
H4: P4H, P4L, P4C
H8: P8H, P8L, P8C
Daily: PDH, PDL, PDC
Weekly: PWH, PWL, PWC
Monthly: PMH, PML, PMC
Options: Fully customizable for timeframes shown, colors, formats, and labels.
3. Breach Lines
Tracks live market reactions (e.g., breakouts or fakeouts) per timeframe for the last previous high or low that was hit, highlighting these levels originating at the breached candle to indicate bias (color-coded).
Red: Bearish below
Green: Bullish above
H4: 4FOL, 4FOH, 4BO, 4BD
H8: 8FOL, 8FOH, 8BO, 8BD
D: dFOL, dFOH, dBO, dBD
W: wFOL, wFOH, wBO, wBD
M: mFOL, mFOH, mBO, mBD
Options: Fully customizable for timeframes shown, colors, formats, and labels.
4. Multi-Timeframe Table
Provides a real-time view of system signals, including:
Current Timeframe (Curr): Bias states.
- Breakout (green BO): Bullish after breaking above the previous high.
- Fakeout High (red FOH): Bearish after breaking above the previous high but pulling back down.
- Breakdown (red BD): Bearish after breaking below the previous low.
- Fakeout Low (green FOL): Bullish after breaking below the previous low but pulling back up.
- Inside (IS): Price trading neutral inside the previous range, taking the previous bias (color indicates the previous bias).
Previous Timeframe (Prev): Tracks last candle bias state and transitions dynamically.
- Bias for last candle: BO, FOH, BD, FOL in respective colors.
- Inside bar (yellow IS): Indicated as standalone signal.
Note: Also previous timeframes get constantly updated in real time to track the bias state in relation to the level that was hit. This means a BO can still lose the level and become a FOH, and vice versa, and a BD can still become a FOL, and vice versa. This is critical to see for example if traders that are trapped in that timeframe with a FOH or FOL are released. An inside bar stays fixed, though, since no level was hit in that timeframe.
Breakouts (BO): Breakout count 3 longs and 3 shorts.
- 3 Longs (red 3L): Bearish after three breakouts without hitting a previous low.
- 3 Shorts (green 3S): Bullish after three breakdowns without hitting a previous high.
First Countertrend Close (First): Tracks First Red or Green Day.
- First Green (G): After two consecutive red closes.
- First Red (R): After two consecutive green closes.
Options: Customizable font size and label colors.
Overall Options:
Toggle single feature groups on/off.
Customize H8 open/close time as an offset to UTC to be provider independent.
Colour settings for dark or bright backgrounds.
Using the Indicator for Trading
The automated analysis provided by the indicator can be used for thesis generation in preparation for a session as well as for live trading, leveraging the real-time updates. It is recommended to customize the settings accordingly, such as hiding the lower timeframes for thesis generation to keep the charts clean.
1. Setup Identification:
Follow the bias of daily and H8 timeframes. A setup always requires alignment of these.
Setup Types:
- Trend Trade: Trade in alignment with the previous day’s trend.
Example: Price above the previous day’s high → Focus on long setups (dBO, H8 FOL) until overextension or reversal signs appear (H8 BO 3L, First R).
- Reversal Trade: Identify reversal setups when lower timeframes show rollovers after higher timeframe weakness.
Example: Price below the previous day’s high after FOH → Look for reversal signals at the current high of day (H8 FOH, BO 3L, First R).
2. Context Assessment:
Evaluate alignment of higher timeframes (e.g., Month/Week, Week/Day). More alignment → Stronger setups. Conflicting situations → Setups invalidated.
3. Entry Confirmation:
Confirm entries based on H8 and H4 alignment and candle closes (e.g., M15 or M5 close after entering setup zone as confirmation).
Example Chart for Reversal Trade:
1. Setup Identification: FOH continuation after BO 3L overextension, confirmed by H8 FOH, First R.
2. Context Assessment: Month in FOL with bearish First R; Week in BO but bearishly overextended with BO 3L.
3. Entry Confirmation: H4 BD, M5 close.
Further recommendations:
- Higher timeframe context: TPO or volume profile indicators can be used to gain an even better overview.
- Entry confirmation: Momentum indicators like VWAP, Supertrend, or EMA are helpful for increasing precision. Additionally, tracking lower timeframe fakeouts can provide powerful confluence.
- Late session trading: Entries later in the session, such as during the 3rd hour of the NY session, offer better analysis and follow-through on setups.
Limitations:
Data availability using TradingView has its limitations. The indicator leverages only the real-time data available for the specific timeframe being used. This means it cannot access data from timeframes lower than the one displayed on the chart. For example, if you are on a daily chart, it cannot use H8 data. Additionally, on very low timeframes, the historical availability of data might be limited, making higher timeframe signals unreliable.
To address this, the indicator automatically hides the affected columns in these specific situations, preventing false signals.
Disclaimer
This indicator is for educational purposes only and does not guarantee profits.
None of the information provided shall be considered financial advice.
The indicator does not provide final buy or sell signals but highlights zones for potential setups.
Users are fully responsible for their trading decisions and outcomes.
Globex time (New York Time)This indicator is designed to highlight and analyze price movements within the Globex session. Primarily geared toward the Globex Trap trading strategy, this tool visually identifies the session's high and low prices, allowing traders to better assess price action during extended hours. Here’s a comprehensive breakdown of its features and functionality:
Purpose
The "Globex Time (New York Time)" indicator tracks price levels during the Globex trading session, providing a clear view of overnight market activity. This session, typically running from 6 p.m. ET (18:00) until the following morning at 8:30 a.m. ET, is a critical period where significant market positioning can occur before the regular session opens. In the Globex Trap strategy, the session high and low are essential levels, as price movements around these areas often indicate potential support, resistance, or reversal zones, which traders use to set up entries or exits when the regular trading session begins.
Key Features
Customizable Session Start and End Times
The indicator allows users to specify the exact start and end times of the Globex session in New York time. The default settings are:
Start: 6 p.m. ET (18:00)
End: 8:30 a.m. ET
These settings can be adjusted to align with specific market hours or personal preferences.
Session High and Low Identification
Throughout the defined session, the indicator dynamically calculates and tracks:
Session High: The highest price reached within the session.
Session Low: The lowest price reached within the session.
These levels are essential for the Globex Trap strategy, as price action around them can indicate likely breakout or reversal points when regular trading resumes.
Vertical Lines for Session Start and End
The indicator draws vertical lines at both the session start and end times:
Session Start Line: A solid line marking the exact beginning of the Globex session.
Session End Line: A similar vertical line marking the session’s conclusion.
Both lines are customizable in terms of color and thickness, making it easy to distinguish the session boundaries visually on the chart.
Horizontal Lines for Session High and Low
At the end of the session, the indicator plots horizontal lines representing the Globex session's high and low levels. Users can customize these lines:
Color: Define specific colors for the session high (default: red) and session low (default: green) to easily differentiate them.
Line Style: Options to set the line style (solid, dashed, or dotted) provide flexibility for visual preferences and chart organization.
Automatic Reset for Daily Tracking
To adapt to the next trading day, the indicator resets the session high and low data once the current session ends. This reset prepares it to start tracking new levels at the beginning of the next session without manual intervention.
Practical Application in the Globex Trap Strategy
In the Globex Trap strategy, traders are primarily interested in price behavior around the high and low levels established during the overnight session. Common applications of this indicator for this strategy include:
Breakout Trades: Watching for price to break above the Globex high or below the Globex low, indicating potential momentum in the breakout direction.
Reversal Trades: Monitoring for failed breakouts or traps where price tests and rejects the Globex high or low, suggesting a reversal as liquidity is trapped in these zones.
Support and Resistance Zones: Using the session high and low as key support and resistance levels during the regular trading session, with potential entry or exit points when price approaches these areas.
Additional Configuration Options
Vertical Line Color and Width: Define the color and thickness of the vertical session start and end lines to match your chart’s theme.
Upper and Lower Line Colors and Styles: Customize the appearance of the session high and low horizontal lines by setting color and line style (solid, dashed, or dotted), making it easy to distinguish these critical levels from other chart markings.
Summary
This indicator is a valuable tool for traders implementing the Globex Trap strategy. It visually segments the Globex session and marks essential price levels, helping traders analyze market behavior overnight. Through its customizable options and clear visual representation, it simplifies tracking overnight price activity and identifying strategic levels for potential trade setups during the regular session.
BB MTF FVGs & First PresentedBB MTF FVGs with First Presented FVG Highlight
The BB MTF FVGs with First Presented FVG Highlight indicator is an advanced trading tool designed to help users identify and monitor Fair Value Gaps (FVGs) across multiple timeframes, offering traders deep insight into market structure and liquidity imbalances. With the ability to track up to three distinct timeframes (e.g., 1-minute, 1-hour, and 1-day), this indicator provides a comprehensive multi-level perspective, helping traders recognize critical support and resistance areas based on liquidity gaps. Additionally, it highlights the first FVG that presents after a specific time each day, making it especially useful for traders who prioritize session starts or key time-based market activity.
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Key Features
1. Multi-Timeframe FVG Detection on Three Levels:
• Track FVGs on three user-defined timeframes for a robust view of liquidity gaps across intraday, intermediate, and higher timeframes. For instance, you could set up 1-minute, 1-hour, and 1-day timeframes to capture the market’s behavior from granular intraday action to daily structural gaps. Each timeframe is fully customizable, and users can enable or disable individual levels as needed.
2. Price Action-Driven FVG Status Analysis:
• The indicator continuously monitors price action to assess the state of each FVG. FVGs are dynamically styled based on their status:
• Untouched: FVGs with solid borders indicate that price has not yet traded into the gap.
• Mitigated: If price partially fills or “mitigates” an FVG, its borders turn dotted, providing visual feedback that the gap has seen some interaction.
• Inverted: When an FVG is fully invalidated by price moving completely through it, the border is removed, signaling the inversion. This real-time analysis gives traders instant feedback on the status of each FVG, helping them quickly assess active, mitigated, or invalidated zones.
3. Highlighting the First FVG After a Specified Time:
• A unique feature that highlights the first FVG presented after a specified time (e.g., 9:30 AM) each day, making it easy for traders to focus on session-based FVGs that could impact market direction. This feature is especially valuable for those tracking the opening range or specific session periods.
4. Configurable FVG Extension Options:
• The indicator offers flexible settings to control how long each FVG remains extended across the chart. Users can choose to extend until the first mitigation, until full mitigation, until inversion, or opt for no extension. This allows traders to adjust FVG visibility duration based on their strategy and trading style.
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Customizable User Inputs
The BB MTF FVGs with First Presented FVG Highlight indicator includes various customization options for a personalized experience:
• Three Configurable Timeframes for FVG Tracking:
• Timeframe 1: Primary timeframe, like 1 minute, to capture short-term gaps.
• Timeframe 2: Secondary timeframe, such as 1 hour, to observe intraday market structure.
• Timeframe 3: Higher timeframe, like 1 day, to track major gaps with a longer-term impact. Each timeframe is independently customizable, allowing users to tailor their multi-timeframe FVG setup to fit their trading approach.
• Session-Based First FVG Highlighting:
• Highlight Type: Select whether to highlight only the first FVG presented after the defined time, display it with other FVGs, or turn off the highlight feature.
• Start and End Time for First Highlighted FVG: Specify the start and end time (e.g., 9:30 AM to 10:30 AM) for highlighting the first FVG, enabling a session-focused approach.
• Plotting Control for Forming FVGs:
• Forming FVG Display: Enable or disable forming FVGs for each timeframe, allowing traders to track potential gaps as they start to appear before confirmation.
• Color and Style Customization:
• FVG Colors: Define colors for long and short FVGs on each timeframe for visual clarity. Additionally, set the highlight color for the first FVG to make it stand out.
• Border Styling Based on FVG Status: The indicator’s dynamic border styling provides a clear visual status for each FVG:
• Solid borders for untouched FVGs.
• Dotted borders for mitigated FVGs.
• Borderless display for inverted FVGs.
• Flexible FVG Extension Duration:
• Choose the extension behavior for FVGs based on preferred criteria: extending until first mitigation, keeping them until fully mitigated, extending until inversion, or selecting no extension. This flexibility is ideal for traders who want to adapt FVG visibility to specific conditions.
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Technical Details
This indicator leverages precise, real-time calculations to monitor price interactions with each FVG, ensuring clarity and accuracy across multiple timeframes without duplicate or redundant displays. It offers traders a powerful way to track liquidity gaps at various market levels with the added benefit of immediate visual feedback on gap status.
BTC Momentum Detector 1h# BTC Momentum Detector 1h
This indicator is designed to detect significant momentum movements in Bitcoin price on the 1-hour timeframe. It identifies candles with percentage changes within a specific range, which often precede larger price movements.
## How It Works
The indicator analyzes price movements to detect potential momentum shifts:
- Identifies candles with percentage changes between configurable thresholds (default: 1.7% - 2.8%)
- Requires neutral or inverse movement in the prior candle to avoid false signals
- Optional volume filter ensures signals are confirmed by above-average trading activity
- Tracks price continuation to calculate success rates and average returns
## Key Features
- **Signal Detection**: Green triangles below price bars indicate upward momentum signals; red triangles above price bars indicate downward momentum signals
- **Continuation Tracking**: Dashed horizontal lines show the entry price levels of active signals being tracked
- **Statistics Panel**: Displays real-time metrics including signal counts, success rates, and average returns
- **Current Status**: Shows the current price change percentage and active signals being monitored
## Parameters
- **Minimum Percentage Threshold**: Minimum price change to trigger a signal (default: 1.7%)
- **Maximum Percentage Threshold**: Maximum price change to filter out extreme moves (default: 2.8%)
- **Continuation Periods**: Number of periods to track after signal (default: 2)
- **Require Prior Neutral/Inverse**: Filters signals by requiring neutral or opposite prior movement
- **Neutral Threshold**: Defines what's considered a neutral movement (default: 0.1%)
- **Volume Filter**: Option to require above-average volume for confirmation
- **Volume Multiplier**: Volume must exceed average by this factor (default: 2x)
## Strategy Concept
The underlying strategy is based on the concept that when Bitcoin makes a controlled, significant move (not too small, not too large) after a period of neutral or opposite movement, it often continues in that direction for the next few periods. This pattern reflects the early stages of momentum development in the market.
Advanced Market Structure & Order Blocks (fadi)Advanced Market Structure & Order Blocks indicator provides a new approach to understanding price action using ICT (Inner Circle Trader) concepts related to candle blocks to analyze the market behavior and eliminate much of the noise created by the price action.
This indicator is not intended to provide trade signals, it is designed to provide the traders with to support their trading strategies and add clarity where possible.
There are currently three main elements to this indicator:
Market Structure
Order Blocks
Liquidity Voids
Market Structure
In trading, market structure is often identified by observing higher highs and higher lows. An uptrend is characterized by a series of higher highs, where each peak surpasses the previous one, and higher lows, where each trough is higher than the preceding one. Conversely, a downtrend is marked by lower highs and lower lows.
Other indicators usually determine these peaks by calculating the highest or lowest levels within a predefined number of candles. For example, identifying the highest price level within the last 15 candles and marking it as a higher high or a lower high. While this approach offers some structure to price action, it can be arbitrary and random due to price fluctuations and the lack of proper structure analysis beyond finding the highest peaks and valleys within candle ranges.
In his 2022 mentorship, episode 12, ICT introduced an alternative approach focusing on three-candle pivots called Short Term High and Low (STH/STL), which are then used to calculate the Intermediate Term High and Low (ITH/ITL), and in turn, the Long Term High and Low (LTH/LTL). ICT’s approach provides better structure than the traditional method mentioned above. However, it can be confusing and difficult to track. There are great indicators that track and label ICT’s levels, but traders still find it challenging to follow and understand.
The Advanced Market Structure indicator takes a unique approach by analyzing candle formations, using ICT concepts, to identify possible turning points that mimic a real trader’s analysis of price action as closely as possible. However, it should be expected that Market Makers may use market manipulation to induce traders to make failed trades, and no tooling can eliminate these situations.
Advanced Market Structure tracks true Peaks and Valleys as they form, confirms them, and marks the chart with corresponding labels using traditional labeling methods (HH/HL/LH/LL), as such labeling makes it easier for traders to follow and understand. The indicator also draws levels to help identify possible liquidity areas and trade targets.
The indicator uses different calculation methods for the different type of market structure length, however all calculations are based on the same ICT candle blocks concepts.
Market Structure Settings
Other than the display settings, there are four (4) settings, mainly under the Level Settings section.
Allow Nested Candles
This option is only available on the Short Market Structure due to the methods used in calculating highs and lows. When used, the indicator will attempt to detect smaller fluctuations in price by tracking smaller candle moves, if any.
Level Settings
Level Settings allows the trader to decide two main calculations:
1. A new pivot point will form when a candle’s is crossed by the following candle’s
2. For a liquidity sweep and marking a level as mitigated, a candle’s must cross that level
Order Blocks
ICT (Inner Circle Trader) defines an Order Block as the last down-closing candle, or series of candles, before a significant upward price move or the last up-closing candle, or series of candles, before a significant downward price move. These key price levels, marked by substantial buy or sell orders from institutional traders or "smart money," create a block or zone on the price chart. When the price revisits these levels, it often leads to a strong market reaction. Order Blocks can consist of one or multiple consecutive candles of the same color, signaling areas of significant buying or selling interest. ICT's approach to Order Blocks provides traders with a structured method to identify potential areas of support or resistance, where price movements are more likely to change direction. Although ICT has shared some criteria for identifying Order Blocks publicly, the full details are reserved for his upcoming books. This indicator leverages the publicly available information to provide traders with valuable insights into these crucial price levels.
The Advanced Market Structure indicator is designed to be highly flexible, allowing traders to define their own combination of rules for identifying Order Blocks, thus customizing it to fit their unique trading strategies.
Order Block Configuration
Can be nested
An Order Block is defined as the last down candle or candles before a strong move higher, and vice versa for bearish Order Blocks. However, larger-than-usual candles resulting from news events or price action may not qualify as Order Blocks and can mute any Order Block within their range.
The "Can be nested" flag ensures that each Order Block is treated as an independent entity, even if it appears within the body of another Order Block.
Forms at swing point
Order Blocks formed at swing points typically have higher probabilities but are less frequent, assuming the same rules are applied. Additionally, Order Blocks at swing points may become Breaker and Mitigation blocks if they fail, providing more trading opportunities.
Forms a simple pivot point
A simple pivot point corresponds to ICT Short Term High and Low (STH/STL). Order Blocks using simple pivot points can occur in the middle of a move, not just at swing points. These are useful for identifying IOFED setups and supporting blocks that can bolster the price move.
Causes Market Structure Shift
Order Blocks that result in a break above or below a short swing point can help narrow down target order blocks, but they are less frequent. An Order Block causing a break above or below a pivot point does not necessarily indicate a strong Order Block. For example, an Order Block formed at a Lower Low is more likely to fail in a downtrend.
A clean close above order block
When the first candle breaks above an Order Block and closes above its high, this indicates a stronger Order Block. On the other hand, if a candle merely wicks through the Order Block without a solid close above it, it suggests a weaker Order Block. This may indicate hesitation or an impending reversal, as the wick represents a temporary and unsustained price movement.
Has displacement more than X the body
While some traders may capitalize on the initial break above an Order Block's CISD level, others prefer to focus on the return to an Order Block after displacement. Displacement is determined by the body size of the Order Block, and an Order Block cannot be tested until this level has been achieved.
Has a Fair Value Gap
When an Order Block is combined with a Fair Value Gap (FVG), it signifies a strong Order Block. The Fair Value Gap indicates a strong price movement away from the Order Block.
Has a liquidity void
A Liquidity Void occurs when two consecutive candles of the same color do not overlap, creating a gap similar to a Fair Value Gap, but involving one or more middle candles. Liquidity Voids can be utilized in combination with, or as an alternative to, the displacement setting.
Maximum number of OBs
The maximum number of Order Blocks to display.
Mitigated at block’s
An Order Block is considered mitigated when price reaches one of the main Order Block levels.
Liquidity Void
Liquidity Void refers to areas on a price chart where there is one-sided trading activity. This phenomenon occurs when the price of an asset moves sharply in one direction, leaving gaps where two consecutive candles of the same color do not overlap. These gaps can comprise one or more middle candles and indicates a pronounced lack of trading within that price range. Liquidity Voids are important because they highlight areas of minimal resistance, where price is more likely to return to fill the void and balance the market.
Liquidity Void vs Fair Value Gap
While both concepts are related to gaps in price action, they are distinct. A Fair Value Gap is a specific three-candle pattern where the middle candle creates a gap between the first and third candles. In contrast, a Liquidity Void represents a broader area on the chart where there is little to no trading activity, often encompassing multiple candles and indicating a more pronounced imbalance between buy and sell orders.
A FVG can be part of a Liquidity Void, a Liquidity Void can exist without necessarily including an FVG. Both concepts highlight areas of minimal resistance and potential price movement, but they differ in their formation and implications.
Advanced Market Structure and Order Blocks indicator focus on liquidity voids since a liquidity void can substitute for a FVG and it is usually less addressed by other indicators.
DVWAP Overlay IndicatorThe DVWAP Overlay is a custom TradingView indicator designed to track Volume-Weighted Average Price (VWAP) levels over different time periods and visualize untapped VWAP levels on the price chart. It also includes historical VWAP tracking, which helps traders identify key support and resistance levels.
Key Features & Functionality
1. User Inputs & Settings
Text Size Selection: Allows users to choose the text size for labels (Tiny, Small, Normal, Large).
VWAP Display Options:
Option to show/hide VWAP levels.
Option to display Naked VWAP levels, meaning VWAP levels that have not been touched by price yet.
Color Customization: Users can configure colors for VWAP lines and labels.
2. VWAP Calculation & Plotting
Daily VWAP Calculation: The script calculates the VWAP for each daily session, adjusting at the start of a new day.
Standard Deviation Bands: The script also calculates the VWAP deviation (similar to Bollinger Bands).
Plotting VWAP: A line is drawn on the chart to visualize VWAP levels for the current and past sessions.
3. Untapped VWAP Level Tracking
The indicator keeps track of VWAP levels that have not yet been touched by price.
If price crosses a previous VWAP level, it is removed from the chart.
These untouched levels are highlighted and labeled on the chart.
4. Historical VWAP Levels
The indicator stores and plots previous VWAP levels, helping traders identify key historical price zones.
Two types of historical VWAPs are displayed:
Previous day VWAP (pdVWAP)
Historical Naked VWAP levels (nVWAP)
How Traders Can Use This Indicator
✅ Support & Resistance Identification: Helps traders find key VWAP levels that can act as support/resistance.
✅ Breakout & Rejection Trades: If price approaches an untouched VWAP, it could indicate a potential reaction.
✅ Institutional Order Flow Tracking: VWAP is often used by institutions for volume-based trade execution.
Average Price Range Screener [KFB Quant]Average Price Range Screener
Overview:
The Average Price Range Screener is a technical analysis tool designed to provide insights into the average price volatility across multiple symbols over user-defined time periods. The indicator compares price ranges from different assets and displays them in a visual table and chart for easy reference. This can be especially helpful for traders looking to identify symbols with high or low volatility across various time frames.
Key Features:
Multiple Symbols Supported:
The script allows for analysis of up to 10 symbols, such as major cryptocurrencies and market indices. Symbols can be selected by the user and configured for tracking price volatility.
Dynamic Range Calculation:
The script calculates the average price range of each symbol over three distinct time periods (default are 30, 60, and 90 bars). The price range for each symbol is calculated as a percentage of the bar's high-to-low difference relative to its low value.
Range Visualization:
The results are visually represented using:
- A color-coded table showing the calculated average ranges of each symbol and the current chart symbol.
- A line plot that visually tracks the volatility for each symbol on the chart, with color gradients representing the range intensity from low (red/orange) to high (blue/green).
Customizable Inputs:
- Length Inputs: Users can define the time lengths (default are 30, 60, and 90 bars) for calculating average price ranges for each symbol.
- Symbol Inputs: 10 symbols can be tracked at once, with default values set to popular crypto pairs and indices.
- Color Inputs: Users can customize the color scheme for the range values displayed in the table and chart.
Real-Time Ranking:
The indicator ranks symbols by their average price range, providing a clear view of which assets are exhibiting higher volatility at any given time.
Each symbol's range value is color-coded based on its relative volatility within the selected symbols (using a gradient from low to high range).
Data Table:
The table shows the average range values for each symbol in real-time, allowing users to compare volatility across multiple assets at a glance. The table is dynamically updated as new data comes in.
Interactive Labels:
The indicator adds labels to the chart, showing the average range for each symbol. These labels adjust in real-time as the price range values change, giving users an immediate view of volatility rankings.
How to Use:
Set Time Periods: Adjust the time periods (lengths) to match your trading strategy's timeframe and volatility preference.
Symbol Selection: Add and track the price range for your preferred symbols (cryptocurrencies, stocks, indices).
Monitor Volatility: Use the visual table and plot to identify symbols with higher or lower volatility, and adjust your trading strategy accordingly.
Interpret the Table and Chart: Ranges that are color-coded from red/orange (lower volatility) to blue/green (higher volatility) allow you to quickly gauge which symbols are most volatile.
Disclaimer: This tool is provided for informational and educational purposes only and should not be considered as financial advice. Always conduct your own research and consult with a licensed financial advisor before making any investment decisions.
Winning and Losing StreaksThe Pine Script indicator "Winning and Losing Streaks" tracks and visualizes the length of consecutive winning and losing streaks in a financial series, such as stock prices. Here’s a detailed description of the indicator, including the relevance of statistical analysis and streak tracking.
Indicator Description
The "Winning and Losing Streaks" indicator in Pine Script is designed to analyze and display streaks of consecutive winning and losing days in trading data. It helps traders and analysts understand the persistence of trends in price movements.
Here’s how it functions:
Streak Calculation:
Winning Streak: A series of consecutive days where the closing price is higher than the previous day's closing price.
Losing Streak: A series of consecutive days where the closing price is lower than the previous day's closing price.
Doji Candles: The indicator also considers Doji candles, where the difference between the opening and closing prices is minimal relative to the high-low range, and excludes these from being counted as winning or losing days.
Statistical Analysis:
The indicator computes the maximum and average lengths of winning and losing streaks.
It also tracks the current streak lengths and maintains arrays to store the historical streak data.
Visualization:
Histograms: Winning and losing streaks are visualized using histograms, which provide a clear graphical representation of streak lengths over time.
Relevance of Statistical Analysis and Streak Tracking
1. Statistical Significance of Streaks
Tracking winning and losing streaks has significant statistical implications for trading strategies and risk management:
Autocorrelation: Streaks in financial time series can reveal autocorrelation, where past returns influence future returns. Studies have shown that financial time series often exhibit autocorrelation, which can be used to forecast future price movements (Lo, 1991; Jegadeesh & Titman, 1993). Understanding streaks helps in identifying and leveraging these patterns.
Behavioral Finance: Streak analysis aligns with concepts from behavioral finance, such as the "hot-hand fallacy," where investors may perceive trends as more persistent than they are (Gilovich, Vallone, & Tversky, 1985). Statistical streak analysis provides a more objective view of trend persistence, helping to avoid biases.
2. Risk Management and Strategy Development
Risk Assessment: Identifying the length and frequency of losing streaks is crucial for managing risk and adjusting trading strategies. Long losing streaks can indicate potential strategy weaknesses or market regime changes, prompting a reassessment of trading rules and risk management practices (Brock, Lakonishok, & LeBaron, 1992).
Strategy Optimization: Statistical analysis of streaks can aid in optimizing trading strategies. For example, understanding the average length of winning and losing streaks can help in setting more effective stop-loss and take-profit levels, as well as in determining the optimal position sizing (Fama & French, 1993).
Scientific References:
Lo, A. W. (1991). "Long-Term Memory in Stock Market Prices." Econometrica, 59(5), 1279-1313. This paper discusses the presence of long-term memory in stock prices, which is relevant for understanding the persistence of streaks.
Jegadeesh, N., & Titman, S. (1993). "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency." Journal of Finance, 48(1), 65-91. This study explores momentum and reversal strategies, which are related to the concept of streaks.
Gilovich, T., Vallone, R., & Tversky, A. (1985). "The Hot Hand in Basketball: On the Misperception of Random Sequences." Cognitive Psychology, 17(3), 295-314. This paper provides insight into the psychological aspects of streaks and persistence.
Brock, W., Lakonishok, J., & LeBaron, B. (1992). "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns." Journal of Finance, 47(5), 1731-1764. This research examines the effectiveness of technical trading rules, relevant for streak-based strategies.
Fama, E. F., & French, K. R. (1993). "Common Risk Factors in the Returns on Stocks and Bonds." Journal of Financial Economics, 33(1), 3-56. This paper provides a foundation for understanding risk factors and strategy performance.
By analyzing streaks, traders can gain valuable insights into market dynamics and refine their trading strategies based on empirical evidence.
Time and Price Lines and Zones (fadi)
Draw a red line starting from the open at 9:30
Show dotted lines between 11 and 12 and shade it
Mark the ORB high and low from 9:30 to 10:00 and extend it in orange and shade it
In trading, time and price are two crucial elements that help traders make decisions about buying and selling assets like stocks, commodities, or currencies. Forex or futures traders may prefer to trade during the Asia, London, and New York sessions to increase the probability of price moves. Additionally, traders often focus on key levels on the chart to frame their trades.
The Time and Price Lines and Zones indicator allows traders to set an unlimited number of time- and price-based levels on a chart, with full control over how they are displayed. Traders can simply type in their desired settings, and the indicator will interpret the instructions and plot the levels on the chart.
However, as it is a scripted tool, there are some limitations, and traders should keep their inputs relatively straightforward.
How It Works
In the settings, you type in the time and price levels you'd like to see, along with the timeframes for display. Each new line will render a line, a set of lines, or a price zone within a specific time interval. You can specify starting and ending times, price levels such as highs and lows, and details like color, line style, and thickness.
The following are some settings you can use:
Time
Always required, formatted as 0 to 23 for hours (with 0 representing midnight) and 0 to 59 for minutes. You can specify just a start time or both start and end times to "box" a period.
Examples:
1 ( for 1:00 AM)
13 (for 1:00 PM)
13:50 (for 1:50 PM)
Price
Optional. If no price level is provided, the indicator will treat it as an open time window and draw vertical lines at the specified time intervals.
Color
The indicator recognizes the 17 built-in colors from TradingView ( www.tradingview.com ). You also have the option to override or create your own colors to match your color schema under settings. Silver (light gray) is the default if none is specified.
Line Style
There are three available line styles:
Solid (default)
Dashed
Dotted
Line Thickness
Line thickness can also be controlled with the following options:
Thin (default)
Medium
Thick
Fill or No Fill
When specifying two price levels, or two time periods, you can choose to keep the area between them empty or fill it with a semitransparent color. You can set this by specifying "shade," "shaded," "fill," or "filled."
Extend or Not
There are times, such as with the Open Range Breakout (ORB), where you may want to extend the zone without tracking additional price level changes. You can indicate this by specifying whether you want to extend it or not.
Additional Indicator Settings
Ignore lines that start with a defined character to instruct the indicator to ignore the line. For example, if you want to hide a line without deleting it, add # in front of it (default is #).
Hide Above Will hide all lines and zones above a defined timeframe.
Show Next Area Hours in Advance This will plot lines in advance to the right of the current price action, helping traders recognize upcoming points of interest.
Show Last X Days This controls the clutter on the screen by limiting the display to the most recent X number of days.
Fill Transparency The percentage of transparency applied to the background when a fill is specified.
Examples:
12 to 13 gray area shaded with dotted lines
Will result in two vertical lines, one at 12 noon and one at 1 PM, with the area between them shaded gray and a dotted line style.
0:00 vertical line red solid
Adds one vertical red line at midnight.
By specifying the open, high, low, and/or close price components, the indicator will interpret this as an instruction to draw a horizontal line at the specified price level. If two or more price levels are provided, each will be tracked accordingly.
Draw a red line starting from 0 open
Draws a line starting from midnight open until the end of the trading day.
Track high and low starting from 9:30 in a dashed green medium line
Tracks the day’s high and low, adjusting as new highs and lows are drawn in a dashed thicker green line from 9:30 AM until the end of trading hours.
# Asia
20 to 0 green high to low filled
# London
2:00 to 5 blue low and high filled
#New York
8:30 to 11:30 orange zone shaded orange between the high and low dotted
Adds three ICT Kill Zones for Asia, London, and New York based on their respective high and low.
8:30 to 11:30 orange zone shaded orange open close dotted
Will add a second New York zone overlapping the high and low zone.
#Draw Open Range Breakout (ORB)
9:30 to 10:00 purple extended zone
Extends the zone from 9:30 to 10:00 AM with a purple extended zone.
Crypto McClellan Oscillator (SLN Fix)This is an adaption of the Mcclellan Oscillator for crypto. Instead of tracking the S&P500 it tracks a selection of cryptos to make sure the indicator follows this sector instead.
Full credit goes to the creator of this indicator: Fadior. It has since been fixed by SLN.
The following description explains the standard McClellan Oscillator. Full credit to Investopedia , my fav source of financial explanations.
The same principles applies to its use in the crypto sector, but please be cautious of the last point, the limitations. Since crypto is more volatile, that could amplify choppy behavior.
This is not financial advice, please be extremely cautious. This indicator is only suitable as a confirmation signal and needs support of other signals to be profitable.
This indicator usually produces the best signals on slightly above daily time frame. I personally like 2 or 3 day, but you have to find the settings suitable for your trading style.
What Is the McClellan Oscillator?
The McClellan Oscillator is a market breadth indicator that is based on the difference between the number of advancing and declining issues on a stock exchange, such as the New York Stock Exchange (NYSE) or NASDAQ.
The indicator is used to show strong shifts in sentiment in the indexes, called breadth thrusts. It also helps in analyzing the strength of an index trend via divergence or confirmation.
The McClellan Oscillator formula can be applied to any stock exchange or group of stocks.
A reading above zero helps confirm a rise in the index, while readings below zero confirm a decline in the index.
When the index is rising but the oscillator is falling, that warns that the index could start declining too. When the index is falling and the oscillator is rising, that indicates the index could start rising soon. This is called divergence.
A significant change, such as moving 100 points or more, from a negative reading to a positive reading is called a breadth thrust. It may indicate a strong reversal from downtrend to uptrend is underway on the stock exchange.
How to Calculate the McClellan Oscillator
To get the calculation started, track Advances - Declines on a stock exchange for 19 and 39 days. Calculate a simple average for these, not exponential moving average (EMA).
Use these simple values as the Prior Day EMA values in the 19- and 39-day EMA formulas.
Calculate the 19- and 39-day EMAs.
Calculate the McClellan Oscillator value.
Now that the value has been calculated, on the next calculation use this value for the Prior Day EMA. Start calculating EMAs for the formula instead of simple averages.
If using the adjusted formula, the steps are the same, except use ANA instead of using Advances - Declines.
What Does the McClellan Oscillator Tell You?
The McClellan Oscillator is an indicator based on market breadth which technical analysts can use in conjunction with other technical tools to determine the overall state of the stock market and assess the strength of its current trend.
Since the indicator is based on all the stocks in an exchange, it is compared to the price movements of indexes that reflect that exchange, or compared to major indexes such as the S&P 500.
Positive and negative values indicate whether more stocks, on average, are advancing or declining. The indicator is positive when the 19-day EMA is above the 39-day EMA, and negative when the 19-day EMA is below the 39-day EMA.
A positive and rising indicator suggests that stocks on the exchange are being accumulated. A negative and falling indicator signals that stocks are being sold. Typically such action confirms the current trend in the index.
Crossovers from positive to negative, or vice versa, may signal the trend has changed in the index or exchange being tracked. When the indicator makes a large move, typically of 100 points or more, from negative to positive territory, that is called a breadth thrust.
It means a large number of stocks moved up after a bearish move. Since the stock market tends to rise over time, this a positive signal and may indicate that a bottom in the index is in and prices are heading higher overall.
When index prices and the indicator are moving in different directions, then the current index trend may lack strength. Bullish divergence occurs when the oscillator is rising while the index is falling. This indicates the index could head higher soon since more stocks are starting to advance.
Bearish divergence is when the index is rising and the indicator is falling. This means fewer stocks are keeping the advance going and prices may start to head lower.
Limitations of Using the McClellan Oscillator
The indicator tends to produce lots of signals. Breadth thrusts, divergence, and crossovers all occur with some frequency, but not all these signals will result in the price/index moving in the expected direction.
The indicator is prone to producing false signals and therefore should be used in conjunction with price action analysis and other technical indicators.
The indicator can also be quite choppy, moving between positive and negative territory rapidly. Such action indicates a choppy market, but this isn't evident until the indicator has made this whipsaw move a few times.
Good luck and a big thanks to Fadior!
Ultimate Market Structure [Alpha Extract]Ultimate Market Structure
A comprehensive market structure analysis tool that combines advanced swing point detection, imbalance zone identification, and intelligent break analysis to identify high-probability trading opportunities.Utilizing a sophisticated trend scoring system, this indicator classifies market conditions and provides clear signals for structure breaks, directional changes, and fair value gap detection with institutional-grade precision.
🔶 Advanced Swing Point Detection
Identifies pivot highs and lows using configurable lookback periods with optional close-based analysis for cleaner signals. The system automatically labels swing points as Higher Highs (HH), Lower Highs (LH), Higher Lows (HL), and Lower Lows (LL) while providing advanced classifications including "rising_high", "falling_high", "rising_low", "falling_low", "peak_high", and "valley_low" for nuanced market analysis.
swingHighPrice = useClosesForStructure ? ta.pivothigh(close, swingLength, swingLength) : ta.pivothigh(high, swingLength, swingLength)
swingLowPrice = useClosesForStructure ? ta.pivotlow(close, swingLength, swingLength) : ta.pivotlow(low, swingLength, swingLength)
classification = classifyStructurePoint(structureHighPrice, upperStructure, true)
significance = calculateSignificance(structureHighPrice, upperStructure, true)
🔶 Significance Scoring System
Each structure point receives a significance level on a 1-5 scale based on its distance from previous points, helping prioritize the most important levels. This intelligent scoring system ensures traders focus on the most meaningful structure breaks while filtering out minor noise.
🔶 Comprehensive Trend Analysis
Calculates momentum, strength, direction, and confidence levels using volatility-normalized price changes and multi-timeframe correlation. The system provides real-time trend state tracking with bullish (+1), bearish (-1), or neutral (0) direction assessment and 0-100 confidence scoring.
// Calculate trend momentum using rate of change and volatility
calculateTrendMomentum(lookback) =>
priceChange = (close - close ) / close * 100
avgVolatility = ta.atr(lookback) / close * 100
momentum = priceChange / (avgVolatility + 0.0001)
momentum
// Calculate trend strength using multiple timeframe correlation
calculateTrendStrength(shortPeriod, longPeriod) =>
shortMA = ta.sma(close, shortPeriod)
longMA = ta.sma(close, longPeriod)
separation = math.abs(shortMA - longMA) / longMA * 100
strength = separation * slopeAlignment
❓How It Works
🔶 Imbalance Zone Detection
Identifies Fair Value Gaps (FVGs) between consecutive candles where price gaps create unfilled areas. These zones are displayed as semi-transparent boxes with optional center line mitigation tracking, highlighting potential support and resistance levels where institutional players often react.
// Detect Fair Value Gaps
detectPriceImbalance() =>
currentHigh = high
currentLow = low
refHigh = high
refLow = low
if currentOpen > currentClose
if currentHigh - refLow < 0
upperBound = currentClose - (currentClose - refLow)
lowerBound = currentClose - (currentClose - currentHigh)
centerPoint = (upperBound + lowerBound) / 2
newZone = ImbalanceZone.new(
zoneBox = box.new(bar_index, upperBound, rightEdge, lowerBound,
bgcolor=bullishImbalanceColor, border_color=hiddenColor)
)
🔶 Structure Break Analysis
Determines Break of Structure (BOS) for trend continuation and Directional Change (DC) for trend reversals with advanced classification as "continuation", "reversal", or "neutral". The system compares pre-trend and post-trend states for each break, providing comprehensive trend change momentum analysis.
🔶 Intelligent Zone Management
Features partial mitigation tracking when price enters but doesn't fully fill zones, with automatic zone boundary adjustment during partial fills. Smart array management keeps only recent structure points for optimal performance while preventing duplicate signals from the same level.
🔶 Liquidity Zone Detection
Automatically identifies potential liquidity zones at key structure points for institutional trading analysis. The system tracks broken structure points and provides adaptive zone extension with configurable time-based limits for imbalance areas.
🔶 Visual Structure Mapping
Provides clear visual indicators including swing labels with color-coded significance levels, dashed lines connecting break points with BOS/DC labels, and break signals for continuation and reversal patterns. The adaptive zones feature smart management with automatic mitigation tracking.
🔶 Market Structure Interpretation
HH/HL patterns indicate bullish market structure with trend continuation likelihood, while LH/LL patterns signal bearish structure with downtrend continuation expected. BOS signals represent structure breaks in trend direction for continuation opportunities, while DC signals warn of potential reversals.
🔶 Performance Optimization
Automatic cleanup of old structure points (keeps last 8 points), recent break tracking (keeps last 5 break events), and efficient array management ensure smooth performance across all timeframes and market conditions.
Why Choose Ultimate Market Structure ?
This indicator provides traders with institutional-grade market structure analysis, combining multiple analytical approaches into one comprehensive tool. By identifying key structure levels, imbalance zones, and break patterns with advanced significance scoring, it helps traders understand market dynamics and position themselves for high-probability trade setups in alignment with smart money concepts. The sophisticated trend scoring system and intelligent zone management make it an essential tool for any serious trader looking to decode market structure with precision and confidence.
AD Line of S&P SectorsAdvance-Decline Line of S&P 500 Sectors
This indicator tracks the breadth strength of the S&P 500 by combining an unweighted Advance-Decline (A/D) Line and a market-cap weighted A/D Histogram across all 11 major S&P sectors.
Key Features
Sector A/D Histogram: Measures sector breadth based on whether each sector advanced or declined, then weights it by its current estimated market cap share.
Unweighted A/D Line: Smooth average of sectors equally weighted, giving an alternative breadth view that’s less biased by large sectors.
Top Weighted Stocks Tracker: Tracks the daily percentage change of the top 10 highest-weighted S&P 500 stocks, scaled by their index weights, and overlays them as a background area plot.
Zero Crossovers: Histogram and line crossing zero can help highlight broadening strength or weakness.
Customizable Sector Weights: Sector weights can be adjusted in the settings. It is recommended to review and update these periodically to reflect changes in S&P sector allocations.
Repaint Option: Uses a user-selectable repaint mode for flexible bar update logic.
How to Use
Trend Confirmation: When the weighted histogram and unweighted line are above zero together, it indicates broad sector strength; below zero suggests broad weakness.
Neutral Zone: Values between +0.5 and -0.5 (or your custom thresholds) may imply a ranging market or slower movement.
Top Names Context: The top-weighted stocks area shows how much the index’s largest components are pulling the market up or down, relative to the broader sector breadth.
⚠️ Disclaimer
This script is for educational and informational purposes only and does not constitute financial advice. Always do your own research and consult with a qualified financial professional before making trading decisions. Use at your own risk.
Eigenvector Centrality Drift (ECD) - Market State Network What is Eigenvector Centrality Drift (ECD)?
Eigenvector Centrality Drift (ECD) is a groundbreaking indicator that applies concepts from network science to financial markets. Instead of viewing price as a simple series, ECD models the market as a dynamic network of “micro-states”—distinct combinations of price, volatility, and volume. By tracking how the influence of these states changes over time, ECD helps you spot regime shifts and transitions in market character before they become obvious in price.
This is not another moving average or momentum oscillator. ECD is inspired by eigenvector centrality—a measure of influence in network theory—and adapts it to the world of price action, volatility, and volume. It’s about understanding which market states are “in control” and when that control is about to change.
Theoretical Foundation
Network Science: In complex systems, nodes (states) and edges (transitions) form a network. Eigenvector centrality measures how influential a node is, not just by its direct connections, but by the influence of the nodes it connects to.
Market Micro-States: Each bar is classified into a “state” based on price change, volatility, and volume. The market transitions between these states, forming a network of possible regimes.
Centrality Drift: By tracking the centrality (influence) of the current state, and how it changes (drifts) over time, ECD highlights when the market’s “center of gravity” is shifting—often a precursor to major moves or regime changes.
How ECD Works
State Classification: Each bar is assigned to one of N market micro-states, based on a weighted combination of normalized price change, volatility, and volume.
Transition Matrix: Over a rolling window, ECD tracks how often the market transitions from each state to every other state, forming a transition probability matrix.
Centrality Calculation: Using a simplified eigenvector approach, ECD calculates the “influence” score for each state, reflecting how central it is to the network of recent market behavior.
Centrality Drift: The indicator tracks the Z-score of the change in centrality for the current state. Rapid increases or decreases, or a shift in the dominant state, signal a potential regime shift.
Dominant State: ECD also highlights which state currently has the highest influence, providing insight into the prevailing market character.
Inputs:
🌐 Market State Configuration
Number of Market States (n_states, default 6): Number of distinct micro-states to track.
3–4: Simple (Up/Down/Sideways)
5–6: Balanced (recommended)
7–9: Complex, more nuanced
Price Change Weight (price_weight, default 0.4):
How much price movement defines a state. Higher = more directional.
Volatility Weight (vol_weight, default 0.3):
How much volatility defines a state. Higher = more regime focus.
Volume Weight (volume_weight, default 0.3):
How much volume defines a state. Higher = more participation focus.
🔗 Network Analysis
Transition Matrix Window (transition_window, default 50): Lookback for building the state transition matrix.
Shorter: Adapts quickly
Longer: More stable
Influence Decay Factor (influence_decay, default 0.85): How much influence propagates through the network.
Higher: Distant transitions matter more
Lower: Only immediate transitions matter
Drift Detection Sensitivity (drift_sensitivity, default 1.5): Z-score threshold for significant centrality drift.
Lower: More signals
Higher: Only major shifts
🎨 Visualization
Show Network Visualization (show_network, default true): Background color and effects based on network structure.
Show Centrality Score (show_centrality, default true): Plots the current state’s centrality measure.
Show Drift Indicator (show_drift, default true): Plots the centrality drift Z-score.
Show State Map (show_state_map, default true): Dashboard showing all state centralities and which is dominant.
Color Scheme (color_scheme, default "Quantum"):
“Quantum”: Cyan/Magenta
“Neural”: Green/Blue
“Plasma”: Yellow/Pink
“Matrix”: Green/Black
Color Schemes
Dynamic gradients reflect the current state’s centrality and drift, using your chosen color palette.
Background network effect: The more central the current state, the more intense the background.
Centrality and drift lines: Color-coded for clarity and regime shift detection.
Visual Logic
Centrality Score Line: Plots the influence of the current state, with glow for emphasis.
Drift Indicator: Histogram of centrality drift Z-score, green for positive, red for negative.
Threshold Lines: Dotted lines mark the drift sensitivity threshold for regime shift alerts.
State Map Dashboard: Top-right panel shows all state centralities, highlights the current and dominant state, and visualizes influence with bars.
Information Panel: Bottom-left panel summarizes current state, centrality, dominant state, drift Z-score, and regime shift status.
How to Use ECD
Centrality Score: High = current state is highly influential; low = state is peripheral.
Drift Z-Score:
Large positive/negative = rapid change in influence, regime shift likely.
Near zero = stable network, no major shift.
Dominant State: The state with the highest centrality is “in control” of the market’s transitions.
State Map: Use to see which states are rising or falling in influence.
Tips:
Use fewer states for simple markets, more for nuanced analysis.
Watch for drift Z-score crossing the threshold—these are your regime shift signals.
Combine with your own system for confirmation.
Alerts:
ECD Regime Shift: Significant centrality drift detected—potential regime change.
ECD State Change: Market state transition occurred.
ECD Dominance Shift: Dominant market state has changed.
Originality & Usefulness
ECD is not a mashup or rehash of standard indicators. It is a novel application of network science and eigenvector centrality to market microstructure, providing a new lens for understanding regime shifts and market transitions. The state network, centrality drift, and dashboard are unique to this script. ECD is designed for anticipation, not confirmation—helping you see the market’s “center of gravity” shift before price action makes it obvious.
Chart Info
Script Name: Eigenvector Centrality Drift (ECD) – Market State Network
Recommended Use: Any asset, any timeframe. Tune parameters to your style.
Disclaimer
This script is for research and educational purposes only. It does not provide financial advice or direct buy/sell signals. Always use proper risk management and combine with your own strategy. Past performance is not indicative of future results.
See the market as a network. Anticipate the shift in influence.
— Dskyz , for DAFE Trading Systems
FS Scorpion TailKey Features & Components:
1. Custom Date & Chart-Based Controls
The software allows users to define whether they want signals to start on a specific date (useSpecificDate) or base calculations on the visible chart’s range (useRelativeScreenSumLeft and useRelativeScreenSumRight).
Users can input the number of stocks to buy/sell per signal and decide whether to sell only for profit.
2. Technical Indicators Used
EMA (Exponential Moving Average): Users can define the length of the EMA and specify if buy/sell signals should occur when the EMA is rising or falling.
MACD (Moving Average Convergence Divergence): MACD crossovers, slopes of the MACD line, signal line, and histogram are used for generating buy/sell signals.
ATR (Average True Range): Signals are generated based on rising or falling ATR.
Aroon Indicator: Buy and sell signals are based on the behavior of the Aroon upper and lower lines.
RSI (Relative Strength Index): Tracks whether the RSI and its moving average are rising or falling to generate signals.
Bollinger Bands: Buy/sell signals depend on the basis, upper, and lower band behavior (rising or falling).
3. Signal Detection
The software creates arrays for each indicator to store conditions for buy/sell signals.
The allTrue() function checks whether all conditions for buy/sell signals are true, ensuring that only valid signals are plotted.
Signals are differentiated between buy-only, sell-only, and both buy and sell (dual signal).
4. Visual Indicators
Vertical Lines: When buy, sell, or dual signals are detected, vertical lines are drawn at the corresponding bar with configurable colors (green for buy, red for sell, silver for dual).
Buy/Sell Labels: Visual labels are plotted directly on the chart to denote buy or sell signals, allowing for clear interpretation of the strategy.
5. Cash Flow & Metrics Display
The software maintains an internal ledger of how many stocks are bought/sold, their prices, and whether a profit is being made.
A table is displayed at the bottom right of the chart, showing:
Initial investment
Current stocks owned
Last buy price
Market stake
Net profit
The table background turns green for profit and red for loss.
6. Dynamic Decision Making
Buy Condition: If a valid buy signal is generated, the software decrements the cash balance and adds stocks to the inventory.
Sell Condition: If the sell signal is valid (and meets the profit requirement), stocks are sold, and cash is incremented.
A fallback check ensures the sell logic prevents selling more stocks than are available and adjusts stock holding appropriately (e.g., sell half).
Customization and Usage
Indicator Adjustments: The user can choose which indicators to activate (e.g., EMA, MACD, RSI) via input controls. Each indicator has specific customizable parameters such as lengths, slopes, and conditions.
Signal Flexibility: The user can adjust conditions for buying and selling based on various technical indicators, which adds flexibility in implementing trading strategies. For example, users may require the RSI to be higher than its moving average or trigger sales only when MACD crosses under the signal line.
Profit Sensitivity: The software allows the option to sell only when a profit is assured by checking if the current price is higher than the last buy price.
Summary of Usage:
Indicator Selection: Enable or disable technical indicators like EMA, MACD, RSI, Aroon, ATR, and Bollinger Bands to fit your trading strategy.
Custom Date/Chart Settings: Choose whether to calculate based on specific time ranges or visible portions of the chart.
Dynamic Signal Plotting: Once buy or sell conditions are met, the software will visually plot signals on your chart, giving clear entry and exit points.
Investment Tracking: Real-time tracking of stock quantities, investments, and profit ensures a clear view of your trading performance.
Backtesting: Use this software for backtesting your strategy by analyzing how buy and sell signals would have performed historically based on the chosen indicators.
Conclusion
The FS Scorpion Tail software is a robust and flexible trading tool, allowing traders to develop custom strategies based on multiple well-known technical indicators. Its visual aid, coupled with real-time investment tracking, makes it valuable for systematic traders looking to automate or refine their trading approach.
Magic Touch Line DetectorSummary of the Magic Touch Line Detector Script:
Purpose:
The Magic Touch Line Detector script is designed to identify significant price points in the market by analyzing candlestick wicks and bodies. It plots lines based on the detected wicks, classifying them as either ascending or descending. The script tracks how frequently price touches these lines and highlights the "most touched" lines for both ascending and descending categories. This script is particularly useful for traders looking to identify key price levels and trends over time.
How It Works:
Wick and Body Detection:
The script starts by analyzing the highs and lows of candlestick wicks relative to their bodies over a user-defined lookback period. A significant wick is identified based on a specified wick-to-body ratio and a deviation threshold measured against the Average True Range (ATR).
Line Creation:
Once a significant upper or lower wick is detected, the script calculates unconventional highs and lows (i.e., points that differ from the absolute highs and lows of the lookback period). Lines are then drawn from these unconventional price points using the slope between the detected wick and the current bar, ensuring a smooth extension.
Line Refinement and Touch Tracking:
As new bars are added, the script tracks how often the price touches the previously drawn lines. The number of touches each line receives is counted and updated in real-time, and the script ensures that only the most touched line is highlighted.
Highlighting and Labeling:
For each category (ascending and descending), the most touched line is identified and given special highlighting with thicker lines and different colors. Labels are also generated to show the number of touches that the most touched line has received. Old labels are cleared to avoid clutter.
Explanation of the Settings:
Lookback Period for Highs and Lows:
This sets the number of bars the script will use to detect the highest highs and lowest lows. A larger lookback period gives the script a broader context to work with, potentially identifying more significant price points.
Minimum Wick-to-Body Ratio:
This ratio determines what qualifies as a "significant" wick. It compares the length of the wick to the body of the candle. A higher ratio means that only wicks that are much longer than the candle body will be considered significant.
Price Deviation Threshold (in ATR multiples):
This setting controls how much price deviation from the ATR is required for a wick to be deemed significant. It acts as a filter to reduce noise by ignoring smaller wicks that are within normal price movements.
Line Touch Tolerance Factor (ATR multiple):
When checking if a price touches a line, the script uses this setting to define how close the price must be to the line to count as a "touch." This tolerance is a multiplier of the ATR, allowing for some flexibility in what is considered a touch.
Price Difference Threshold:
This defines the minimum price difference required to plot a line. If the price difference between the high and low of a detected wick is too small, the script can avoid plotting a line for insignificant moves.
Slope Adjustment Multiplier:
This multiplier adjusts the slope of the lines that are drawn from detected price points. It affects the length and angle of the lines, allowing users to control how far and at what angle the lines should extend across the chart.
Customization Options:
Show Ascending/Descending Lines:
These toggles allow users to decide whether ascending (bullish) or descending (bearish) lines should be shown on the chart.
Line Color, Style, and Width (for Ascending and Descending Lines):
These settings give users control over how the lines appear visually. You can customize the color, style (solid, dashed, dotted), and width of both ascending and descending lines.
Most Touched Line Color:
Users can define a different color for the "most touched" line, which is automatically identified by the script. This setting helps highlight the line that has been interacted with the most by the price.
How to Use the Script:
Setup the Lookback Period and Deviation Filters:
Start by setting the lookback period and the filters for wick-to-body ratio and deviation threshold. These settings help control the script's sensitivity to market movements.
Refine the Tolerance and Slope:
Adjust the line touch tolerance and slope adjustment multiplier to control how closely the script tracks price touches and how the lines are extended on the chart.
Customize Visuals:
Once the lines are being drawn, customize the colors, styles, and widths to ensure the lines are easy to read on your chart. You can also decide if you want to display both ascending and descending lines or focus on just one.
By setting up the script based on these inputs and parameters, you can get a real-time view of significant price levels and how often the price interacts with them, helping you make more informed trading decisions.
DRIP Yearly PerformanceOverview: The DRIP Yearly Performance indicator is designed for long-term investors using Dividend Reinvestment Plans (DRIP). This script calculates both the total and average yearly performance of an asset, factoring in the reinvestment of dividends over time. It provides key insights into portfolio growth by tracking the number of accumulated units from dividend reinvestment and how this impacts overall performance.
Key Features:
Dividend Reinvestment (DRIP) Calculation: Automatically adjusts the number of units held by reinvesting dividends, enhancing the calculation of total returns.
Custom Start Date: Choose a custom start date to begin tracking performance from a specific time period, allowing for more tailored performance analysis.
Performance Metrics: Displays key metrics such as the initial investment value, current value, total performance percentage, and the average yearly performance, all in an easy-to-read table format.
Visual Representation: Plots accumulated units and overall performance on the chart, with customizable colors for clarity.
Inputs Explained:
Start Quantity: Define the initial number of units (shares) held at the start of the investment.
Dividend Type: Choose between tracking Net or Gross dividends for reinvestment purposes. Net is always better unless you have a special case and you need to base your calculations on gross.
Start Date: Select a custom date to begin tracking performance. This allows users to focus on performance from any historical point.
Table Size: Customize the size of the text in the performance table to suit your visual preferences.
Performance Line Color: Choose the color of the performance plot line that tracks the value of your investment over time.
Accumulator Line Color: Customize the color of the line that tracks the accumulated units (shares) due to reinvested dividends.
Who Can Benefit: This indicator is ideal for long-term investors and dividend growth investors who want to measure their investment returns over time while factoring in the effects of dividend reinvestment.
Use Cases:
Tracking Dividend Impact: See how reinvesting dividends enhances your overall portfolio value.
Custom Performance Analysis: Set a custom start date to analyze performance from a specific point in time.
Visualizing Growth: Use the chart's plots to visually track your growing number of shares (units) and overall performance.
Footprint ClassicThe Volume Footprint chart is analyzing volume data contained within candles and split it into two components - Up and Down volume. This analysis is similar to how Volume Profile evaluates volume data from a portion of the chart.
This script can be used by any user. You do not need to have PRO or PREMIUM account to use it.
As a user, you have the flexibility to select the desired level of data precision for the Volume Footprint analysis. We highly recommend using the highest precision possible, as it provides the most accurate results. However, it's important to keep in mind that Trading View has several limitations and not all levels of precision are available on all intervals. The higher the precision, the shorter the history of available data.
If, after adding the script or changing the precision, you encounter an error message stating "'The study references too many candles in history'", it may be necessary to reduce the precision level in the script settings to resolve the issue.
This script is a part of the "Volume Footprint" toolkit, which includes:
I. Footprint chart visualization scripts in two variants:
⠀⠀Volume Footprint - Presenting volume data on both sides of the candle.
⠀⠀Volume Footprint Classic - Presenting volume data on the right side of the candle.
II. Supporting tools:
⠀⠀Volume Footprint Statistics - Script presents, in tabular form, basic statistics calculated from candle volume data, such as Delta, min Delta, max Delta and more. It can support both Volume Footprint and Volume Footprint Classic.
⠀⠀Volume Footprint Candles - Tool drawing candles adapted for footprint chart scripts.
III. Tools dedicated to more detailed analysis:
⠀⠀Volume Delta - A candle chart illustrating changes in delta values.
⠀⠀Volume Cumulative Delta - A candle chart ilustrating changes in cumulative delta values.
⠀⠀Volume Delta In Candle - A line chart showing changes in delta values over a period equal to the chart interval.
⠀⠀Volume Cumulative Delta in Interval - A line chart showing changes in cumulative delta over a period equal to the chart interval.
Script with limited access, contact author to get authorization
User Interface:
The script groups Up and Down volume into slots based on price. The height of the slots is controlled by the "Slot height" parameter in the settings. Each slot has the following configurable features:
Text - A label that displays the value. You can choose from:
⠀- - Hidden
⠀V - Slot Volume (UP + Down)
⠀V% - Slot volume as percentage of Candle volume
⠀UD - Up and Down volume
⠀UDI - Up and Down volume + Imbalance symbols.
⠀Δ - Delta (Up - Down Volume)
⠀Δ% - Delta as percent of slot volume (from -100% to 100%)
Border - Highlight slots with border color. You can chose from:
⠀- - Hidden
⠀C - Constant color
⠀POC - Slot with biggest volume
⠀V - Slot volume compared to other slots in that candle
⠀VA - Value area, highlights slots forming the value area
⠀Δ - Delta is the slot.
Background - Highlight slots with background color. You can pick one of:
⠀- - Hidden
⠀C - Constant color
⠀POC - Slot with biggest volume
⠀V - Slot volume compared to other slots in that candle
⠀VA - Value area, highlights slots forming the value area
⠀Δ - Delta is the slot.
Imbalances symbols:
Before the Down Volume, the following imbalance symbols may appear:
⠀↓ - 3 times
⠀↡ - 5 times
⠀⇊ - 10 times
After the Up Volume the following imbalance symbols may appear:
⠀↑ - 3 time
⠀↟ - 5 times
⠀⇈ - 10 times
Above the candle, the following basic statistics can be shown:
"V:" - Row with volume statistics:
⠀∑ - Total volume ,
⠀Δ - Difference between Up and Down Volume .
⠀min Δ - The smallest difference between Up and Down Volume in that candle
⠀max Δ - the biggest difference between Up and Down Volume in that candle
Script settings:
Slot height = 10^ - Price slot height on the chart, recorded as a power of 10, which means:
⠀ 0 - 1$
⠀ 1 - 10$
⠀ 2 - 100$
⠀ 3 - 1000$
⠀-1 - 0.1$
⠀-2 - 0.01$
⠀-3 - 0.001$
Data precision - One of 6 standard levels of data precision: ▉▇▆▅▃▁, where ▉ means the highest precision and ▁ the lowest available precision and two special values "W" and "M" dedicated for biggest intervals. The highest precision should be available for 15-minute chart, but for a 1D chart, it may hit TradingView limitations and the script will not be launched by the platform with error: "'The study references too many candles in history'". The general recommendation is to use the highest available precision for a given instrument and interval.
Precise warnings - An option to show warnings about missing volume in candle footprint (warning connected with one of TradingView limitations).
Text - Picking what king of info is on label:
⠀- - Hidden
⠀V - Total slot Volume
⠀V% - Slot volume as % of Candle volume
⠀UD - Up and Down volume
⠀UDI - Up and Down volume + Imbalance symbols.
⠀Δ - Delta
⠀Δ% - Delta as percent of slot volume
Centered - If checked volume labels are stick to candle (centered), if not they are alligned to right.
Border, Background:
⠀- - Hidden
⠀C - Color1
⠀POC - Slot with biggest volume
⠀V - Slot volume compared to other slots in that candle
⠀VA - Value area, highlights the slots forming the value area
⠀Δ - Delta is the slot, color1 is used when volume Up is at least 10% bigger, color2 is used when Volume Down is at least 10% bigger
Filter - Filtering option than allow hinding labels with small values:
⠀0 - filter turned off.
⠀1-5 - filtering with transparency
⠀6-10 - Filtering with hiding values
Show zeros - Option to show zeros or leave empty spaces
Draw candles - Option to draw candles that fit the volume labels, and 2 fields to choose the color of up and down candles. It is recommended to hide chart candles and use candles adapted to the footprint chart. TradingView has a bug and candles are drawn under the slots. If you choose a non-transparent background or border, they may be invisible. If possible (free accounts have a limit of 3 scripts), it is recommended to use Volume Footprint Candles script to draw thin candles over the slots.
Show stats - Showing stats over the candle: ∑, Δ, min Δ, max Δ. It's recommended to use 'Volume Footprint Statistics' script instead
Font size - Used to draw stats over the chart: T(iny), S(mall), N(ormal), L(arge)
Instrument and Volume status - A dialog showing basic chart information: Instrument type, Volume type, Smallest change, slot height.
Value area - Value area is the smallest group set of neighboring slots that have at least n(param) % of candle volume.
⠀ Value Area Minimal Volume (%) - Value area size as % of candle volume
⠀ Track - Option to track value areas, potencial support-resistance zones.
⠀ Only active - Option to hide areas that were crossed by the price.
⠀ Show Values - Opiton to show volume value over tracked value areas.
Alerts:
⠀ One alert per Bar - Emits no more than one alert per bar.
⠀ Add value area to tracking - Emits an alert about a new VA beeing added to the tracking list.
⠀ Remove value area from tracking - Emits an alert when a VA is removed from the tracking list.
Troubleshooting:
In case of any problems, please send error details to the author of the script.
Known issues:
"The study references too many candles in history" - If you encounter this issue, try changing "Data precision" setting to a lower value.
TradeChartist Plug and Trade™TradeChartist Plug and Trade is an extremely useful indicator that can be connected to almost any Study script (not a Strategy) on Trading View (with an Oscillatory or Non-Oscillatory Signal plot) to generate Trade Signals with Stop Loss plot, user set or automatic Target plots and create Alerts based on Past Performance, determined by Past Gains/Drawdowns for each Trade. The indicator is packed with a lot of features including TradeChartist's signature Dashboard and Real-time Gains Tracker, Automatic Targets Generator, Take Profit recommendation, option to paint price bars based on Trade/Price Trend, 3 types of Stop Loss plots to choose from, with option for user to set fixed Target to take profits.
1. How does ™TradeChartist Plug and Trade connect to another Study script/indicator signal?
Plug and Trade is elegantly designed with simplicity in mind, without compromising on functionality, so any trader - beginner to advanced, can just plug an external signal to the indicator with ease by just following these simple steps.
Add to price chart, the Indicator along with the signal plot to be tested and assessed for performance.
Plug the signal into ™TradeChartist Plug and Trade by choosing it from the Plug Signal Here drop-down.
Choose Signal type as Oscillatory if signal oscillates between set values or crosses a certain value periodically (Example: RSI, CCI, TRIX etc that are mostly not overlayed on Price chart and may be in a separate pane from price chart as it may not fit on Price scale), Choose Signal Type as Non Oscillatory if the signal can be plotted on price scale and Trades are normally generated when price crosses above or below it (Moving Averages, SAR indicators like SuperTrend, etc.).
For oscillators, default Oscillator value for Trade Signals is 0 as most Oscillators have 0 as their mid point. The value can be changed if the Signal doesn't oscillate with 0 as its mid point. For example, if the connected Signal is RSI, the values can be changed to Upper and Lower band values to generate Trade Signals.
Plot the Signal on chart if the signal is Non Oscillatory.
2. How can the plugged Signal's performance be assessed using ™TradeChartist Plug and Trade and subsequently used for generating Trade Entries and to create Alerts?
Once the Signal is plugged into the indicator based on steps above, Plug and Trade automatically plots the Trade entries based on the Signal type.
Plot Trade Entries after Bar Close from settings can be checked for signals that do not confirm until bar close. By doing this, repainting can be avoided for most signals and true performance can be assessed. Also, alerts can be created using Once Per Bar rather than Once Per Bar Close .
The real-time Gains Tracker and Dashboard are useful in tracking gains and other useful indicator values like RSI, Stoch, ATR and EMA in real-time with price movement.
Enabling Past Performance from settings will plot Maximum Gains achieved and Maximum Drawdown for each trade as labels . Trading View only plots finite number of labels and old labels are deleted automatically. But to access past performance beyond the last available label, bar replay can be used.
User can choose from 3 types of Stop Losses from the settings - Fixed %, Trailing % and ATR Stop Loss namely and a Fixed TP % to create plots on price chart and to create alerts.
If the user prefers automatic targets based on Trade entries, Recommend Targets can be enabled from the settings. The automatic targets are generated at the time of Trade Entry, along with Target prices and % which turn green when hit.
Each BUY and SELL Trade are tracked in its entirety and the highest high since BUY and lowest low since SELL are plotted on the price chart and also displayed on the Plug and Play Dashboard
Choppiness can be easily spotted if there are numerous Past Performance labels or several Trade Entries around a short timeframe on chart. This may mean that the signal needs smoothing or may not be suitable for the asset to trade on the chart timeframe. Suitability of a Study script for the asset can be determined in many ways using this indicator.
3. What other features are included in ™TradeChartist Plug and Trade?
Enabling Spot Price Bars to take Profit option from settings automatically plots $ sign above/below candles where Profit taking is recommended or Stop Loss moved to secure profits/reduce loss.
Enabling Paint Price Bars with Trade Trend paints price bars with colors that help picture Trade/Price trend. Trend spotting using this works best with (bars/hollow candles/candles with no border) on dark background.
Both features work on Price chart even without any Signal plugged in.
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Example Charts using different Signals plugged into ™TradeChartist Plug and Trade
1. RSI Signal (Oscillatory) plugged in with >60 for BUYs and <40 for SELLs - BTC-USDT on 1hr
2. PowerTracer Signal (Oscillatory) plugged in - GBP-USD 1hr
3. 55 period VWMA Signal (Non Oscillatory) plugged in - ADA-USDT 4hr
4. RSI Signal (Oscillatory) plugged in with >70 for BUYs and <30 for SELLs - SPX 1hr with Trailing SL - 3% and TP - 2%
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This is not a free to use indicator. Get in touch with me (PM me directly if you would like trial access to test the indicator)
Premium Scripts - Trial access and Information
Trial access offered on all Premium scripts.
PM me directly to request trial access to the scripts or for more information.
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Order Block & Trendline Breakout StrategyaiTrendview.com Order Block & Trendline Breakout Strategy: Complete Guide
Introduction
The Order Block & Trendline Breakout Strategy ("ORDER BLOCK ANALYSIS") is a comprehensive TradingView Pine Script indicator that combines institutional order flow, trend recognition, breakout logic, multi-factor signal filtering, and real-time analytics—all visualized through an ergonomic stats dashboard.
This guide provides a full overview, feature breakdown, best practices, and step-by-step use for discretionary and systematic traders.
Key Features
1. Order Block (OB) Detection
• Relevant Periods: Detects bullish and bearish order blocks using consecutive bars in the same direction, with user-defined relevance (OB Relevant Periods).
• Move Threshold: Validates OB only if the price moves by a minimum user-set percentage.
• Channel Management: Keeps the latest OB levels displayed, removing stale ones for clarity.
2. Trendline Breakout Logic
• Pivot-Based TLs: Draws support/resistance trendlines using pivots, with options to use candle wicks or bodies.
• Automatic Extension: Trendlines are extended a user-specified number of bars.
• Breakout Detection: Signals are triggered on actual breakout events relative to calculated dynamic trendlines.
3. Sophisticated Filtering
• Volume Filter: Requires large real-time volume (spike versus average) for valid signals.
• ATR (Volatility) Filter: Filters out false/weak signals by excluding those that occur during choppy, low-vol markets.
• Trend Confirmation: Only generates signals aligned with current EMA-defined trend.
4. Market Environment & Risk Stats
• RSI/MACD Analysis: Real-time calculation/classification augments bias and signal scoring.
• Bollinger Bands: Used for overbought/oversold context and stats dashboard.
• Support & Resistance: Rolling levels used for context in both trading decisions and dashboard.
• Volatility, Momentum, Price Position: Tracks environment, enabling informed discretionary action.
5. Trade Analytics & Management
• Automated Trade Targets: Calculates and plots take-profit (TP) and stop-loss (SL) levels per trade based on ATR and current price.
• PnL, Win%, Count: Tracks and displays statistics for live decision support.
6. Dynamic Dashboard Table
• On-Chart Visual Table: Horizontal dashboard displays all critical readings, status, and history in one row, minimizing chart clutter.
• Customizable Table Size: Choose between small, medium, normal, large, and extra large for optimal screen space usage.
• Flexible Placement: Instantly drag-and-drop the dashboard to any screen edge or corner (360 degrees) via selector.
• Visual Color Coding: Instantly spot bullish/bearish/neutral/safe/dangerous market states.
7. Pro Alerts System
• Automated Alerts: Ready-to-use TradingView alertconditions for new signals, targets hit, stop-losses, no-trade zones, and high-opportunity events.
Configuration and Inputs
Setting Purpose
OB Relevant Periods Number of candles for order block detection.
Min. Percent Move Minimum validated move for OB.
Number of OB Channels Maximum live OB levels plotted.
Trendline Period Lookback for trendline pivots.
Use Wicks for Trendlines Candle wicks vs. candle closes for pivots.
Extension Bars How far to project trends into the future.
Use Volume Filter Demand higher-than-normal volume for signals.
Volume Threshold Multiplier Sensitivity for volume spikes.
Use ATR Filter Filter signals by current volatility.
ATR Filter Multiplier Sensitivity for volatility filter.
Show Information Table Toggle dashboard display.
Show Targets Toggle plotting of TP/SL lines.
Bullish/Bearish Color Individual color themes for OBs and signals.
Dashboard Table Size Resize dashboard text.
Dashboard Table Position Select any of 9 chart locations for dashboard placement.
Dashboard Table Fields
The dashboard always displays, in a single horizontal row:
• LTP/Change%/Volume: Current price, price movement, and volume spike multiple.
• RSI/MACD: Overbought/oversold and momentum context (numeric and bar).
• Trend/Sentiment: EMA-stacked market direction and emotional sentiment composite.
• Volatility: Current volatility tier (high/medium/low).
• Buy OB/Sell OB: Nearest bullish or bearish order block levels.
• Signal: Current strategy signal: BUY / SELL / WAIT.
• Status: "ACTIVE" or "AVOID" based on no-trade logic.
• Support/Resistance: Key rolling price levels.
• Position: Where price stands (support, resistance, upper/lower/mid).
• Risk Level: Volatility-based risk assessment.
• R:R Ratio: Reward-to-risk of currently open setup.
• Win %: Real-time win rate for signal quality transparency.
• Total PnL: Sum of PnL across all trade signals.
• Momentum: Reading of current price momentum.
All numerical and risk status fields use color highlighting for easy scanning.
How to Analyze and Use This Strategy
1. Setup & Customization
• Add script to your TradingView chart and open indicator settings.
• Adjust periods, trendline, volume/ATR filters, and display according to your market and trading style.
• Set dashboard size for clarity and place it where it's least intrusive.
2. Understanding Dashboard Status
• Green highlight: Bullish edge or buy signal confirmed.
• Red highlight: Bearish edge or sell confirmed.
• Gray/yellow: Neutral or sideways conditions; reduce trading activity.
• Signal "WAIT": No new signals; allow market to develop.
• Status "AVOID": Market is non-ideal (consolidating, low vol/volume); only act on highest conviction setups or step away.
3. Acting on Signals
• BUY/SELL Alerts: Watch for table to show "BUY" or "SELL". Confirm all filters align (bullish OB or resistance break, bullish trend, volume spike, etc.).
• Check Dashboard Stats: Only act if risk, momentum, and environment suit your trading plan.
• Trade Management: On signal, use plotted TP (take-profit) and SL (stop-loss) lines or values provided in the table.
• PnL & Win Rate Tracking: Monitor your performance in real-time.
• Respect AVOID status: Reduce risk or skip trades entirely if the dashboard calls a "No Trade Zone".
4. Use Alertconditions for Automation
• Enable alerts for buy/sell confirmations or targets; consider sending real-time notifications to your device.
• Alerts fire only when all filters and logic are satisfied.
Advanced Tips
• Tune Filters: Harsher filters (higher volume/ATR) reduce noise but may drop some strong signals; find your best trade-off.
• Position Sizing: Use dashboard's risk evaluation for position sizing and capital allocation.
• Combine with Price Action: Use dashboard levels and stats to reinforce other technical or fundamental reads.
• Evaluate Win % and PnL: Use the built-in statistics to periodically review and adjust strategy.
• Use Dashboard Placement and Size: Adjust according to trading setup, monitor spacing, or on mobile/tablet for legibility.
Best Practices
• Validate on Historical Data: Check how the signal would have performed over several months and market regimes.
• Stay Disciplined: Only take trades when OB, trend, volume, volatility, and risk assessment all align.
• Monitor Session Changes: Be aware of volatility and volume changes during market opens, closes, or events—dashboard helps highlight these shifts.
• Continually Learn: Analyze why signals succeed or fail using Win %, PnL, and environment fields.
Conclusion
This indicator provides a robust, institutional-grade edge by merging price action-based order blocks and trendlines with statistical filtering and professional analytics. The fully configurable dashboard and automated alerts make it suitable for both advanced and aspiring traders seeking visual clarity and tactical precision.
Mastering this tool means not just following signals, but actively reading and adapting to the conditions the dashboard provides for every phase of the market.
BK AK-SILENCER (P8N)🚨Introducing BK AK-SILENCER (P8N) — Institutional Order Flow Tracking for Silent Precision🚨
After months of meticulous tuning and refinement, I'm proud to unleash the next weapon in my trading arsenal—BK AK-SILENCER (P8N).
🔥 Why "AK-SILENCER"? The True Meaning
Institutions don’t announce their moves—they move silently, hidden beneath the noise. The SILENCER is built specifically to detect and track these stealth institutional maneuvers, giving you the power to hunt quietly, execute decisively, and strike precisely before the market catches on.
🔹 "AK" continues the legacy, honoring my mentor, A.K., whose teachings on discipline, precision, and clarity form the cornerstone of my trading.
🔹 "SILENCER" symbolizes the stealth aspect of institutional trading—quiet but deadly moves. This indicator equips you to silently track, expose, and capitalize on their hidden footprints.
🧠 What Exactly is BK AK-SILENCER (P8N)?
It's a next-generation Cumulative Volume Delta (CVD) tool crafted specifically for traders who hunt institutional order flow, combining adaptive volatility bands, enhanced momentum gradients, and precise divergence detection into a single deadly-accurate weapon.
Built for silent execution—tracking moves quietly and trading with lethal precision.
⚙️ Core Weapon Systems
✅ Institutional CVD Engine
→ Dynamically measures hidden volume shifts (buying/selling pressure) to reveal institutional footprints that price alone won't show.
✅ Adaptive AK-9 Bollinger Bands
→ Bollinger Bands placed around a custom CVD signal line, pinpointing exactly when institutional accumulation or distribution reaches critical extremes.
✅ Gradient Momentum Intelligence
→ Color-coded momentum gradients reveal the strength, speed, and silent intent behind institutional order flow:
🟢 Strong Bullish (aggressive buying)
🟡 Moderate Bullish (steady accumulation)
🔵 Neutral (balance)
🟠 Moderate Bearish (quiet distribution)
🔴 Strong Bearish (aggressive selling)
✅ Silent Divergence Detection
→ Instantly spots divergence between price and hidden volume—your earliest indication that institutions are stealthily reversing direction.
✅ Background Flash Alerts
→ Visually highlights institutional extremes through subtle background flashes, alerting you quietly yet powerfully when market-moving players make their silent moves.
✅ Structural & Institutional Clarity
→ Optional structural pivots, standard deviation bands, volume profile anchors, and session lines clearly identify the exact levels institutions defend or attack silently.
🛡️ Why BK AK-SILENCER (P8N) is Your Edge
🔹 Tracks Institutional Footprints—Silently identifies hidden volume signals of institutional intentions before they’re obvious.
🔹 Precision Execution—Cuts through noise, allowing you to execute silently, confidently, and precisely.
🔹 Perfect for Traders Using:
Elliott Wave
Gann Methods (Angles, Squares)
Fibonacci Time & Price
Harmonic Patterns
Market Profile & Order Flow Analysis
🎯 How to Use BK AK-SILENCER (P8N)
🔸 Institutional Reversal Hunting (Stealth Mode)
Bearish divergence + CVD breaking below lower BB → stealth short signal.
Bullish divergence + CVD breaking above upper BB → quiet, early long entry.
🔸 Momentum Confirmation (Silent Strength)
Strong bullish gradient + CVD above upper BB → follow institutional buying quietly.
Strong bearish gradient + CVD below lower BB → confidently short institutional selling.
🔸 Noise Filtering (Patience & Precision)
Neutral gradient (blue) → remain quiet, wait patiently to strike precisely when institutional activity resumes.
🔸 Structural Precision (Institutional Levels)
Optional StdDev, POC, Value Areas, Session Anchors clearly identify exact institutional defense/offense zones.
🙏 Final Thoughts
Institutions move in silence, leaving subtle footprints. BK AK-SILENCER (P8N) is your specialized weapon for tracking and hunting their quiet, decisive actions before the market reacts.
🔹 Dedicated in deep gratitude to my mentor, A.K.—whose silent wisdom shapes every line of code.
🔹 Engineered for the disciplined, quiet hunter who knows when to wait patiently and when to strike decisively.
Above all, honor and gratitude to Gd—the ultimate source of wisdom, clarity, and disciplined execution. Without Him, markets are chaos. With Him, we move silently, purposefully, and precisely.
⚡ Stay Quiet. Stay Precise. Hunt Silently.
🔥 BK AK-SILENCER (P8N) — Track the Silent Moves. Strike with Precision. 🔥
May Gd bless every silent step you take. 🙏
