Enigma UnlockedENIGMA Indicator: A Comprehensive Market Bias & Success Tracker
The ENIGMA Indicator is a powerful tool designed for traders who aim to identify market bias, track price movements, and evaluate trade performance using multiple timeframes. It combines multiple indicators and advanced logic to provide real-time insights into market trends, helping traders make more informed decisions.
Key Features
1. Multi-Timeframe Bias Calculation:
The ENIGMA Indicator tracks the market bias across multiple timeframes—Daily (D), 4-Hour (H4), 1-Hour (H1), 30-Minute (30M), 15-Minute (15M), 5-Minute (5M), and 1-Minute (1M).
How the Bias is Created:
The Bias is a key feature of the ENIGMA Indicator and is determined by comparing the current price with previous price levels for each timeframe.
- Bullish Bias (1): The market is considered **bullish** if the **current closing price** is higher than the **previous timeframe’s high**. This suggests that the market is trending upwards, and buyers are in control.
- Bearish Bias (-1): The market is considered **bearish** if the **current closing price** is lower than the **previous timeframe’s low**. This suggests that the market is trending downwards, and sellers are in control.
- Neutral Bias (0): The market is considered **neutral** if the price is between the **previous high** and **previous low**, indicating indecision or a range-bound market.
This bias calculation is performed independently for each timeframe. The **Bias** for each timeframe is then displayed in the **Bias Table** on your chart, providing a clear view of market direction across multiple timeframes.
2. **Customizable Table Display:**
- The indicator provides a table that displays the bias for each selected timeframe, clearly marking whether the market is **Bullish**, **Bearish**, or **Neutral**.
- Users can choose where to place the table on the chart: top-left, top-right, bottom-left, bottom-right, or center positions, allowing for easy and personalized chart management.
3. **Win/Loss Tracker:**
- The table also tracks the **success rate** of **buy** and **sell** trades based on price retests of key bias levels.
- For each period (Day, Week, Month), it tracks how often the price has moved in the direction of the initial bias, counting **Buy Wins**, **Sell Wins**, **Buy Losses**, and **Sell Losses**.
- This helps traders assess the effectiveness of the market bias over time and adjust their strategies accordingly.
#### **How the Success Calculation Determines the Success Rate:**
The **Success Calculation** is designed to track how often the price follows the direction of the market bias. It does this by evaluating how the price retests key levels associated with the identified market bias:
1. **Buy Success Calculation**:
- The success of a **Buy Trade** is determined when the price breaks above the **previous high** after a **bullish bias** has been identified.
- If the price continues to move higher (i.e., makes a new high) after breaking the previous high, the **buy trade is considered successful**.
- The indicator tracks how many times this condition is met and counts it as a **Buy Win**.
2. **Sell Success Calculation**:
- The success of a **Sell Trade** is determined when the price breaks below the **previous low** after a **bearish bias** has been identified.
- If the price continues to move lower (i.e., makes a new low) after breaking the previous low, the **sell trade is considered successful**.
- The indicator tracks how many times this condition is met and counts it as a **Sell Win**.
3. **Failure Calculations**:
- If the price does not move as expected (i.e., it does not continue in the direction of the identified bias), the trade is considered a **loss** and is tracked as **Buy Loss** or **Sell Loss**, depending on whether it was a bullish or bearish trade.
The ENIGMA Indicator keeps a running tally of **Buy Wins**, **Sell Wins**, **Buy Losses**, and **Sell Losses** over a set period (which can be customized to Days, Weeks, or Months). These statistics are updated dynamically in the **Bias Table**, allowing you to track your success rate in real-time and gain insights into the effectiveness of the market bias.
#### **Customizable Period Tracking:**
- The ENIGMA Indicator allows you to set custom tracking periods (e.g., 30 days, 2 weeks, etc.). The performance metrics reset after each tracking period, helping you monitor your success in different market conditions.
5. **Interactive Settings:**
- **Lookback Period**: Define how many bars the indicator should consider for bias calculations.
- **Success Tracking**: Set the number of candles to track for calculating the win/loss performance.
- **Time Threshold**: Set a time threshold to help define the period during which price retests are considered valid.
- **Info Tooltip**: You can enable the information tool in the settings to view detailed explanations of how wins and losses are calculated, ensuring you understand how the indicator works and how the results are derived.
#### **How to Use the ENIGMA Indicator:**
1. **Install the Indicator**:
- Add the ENIGMA Indicator to your chart. It will automatically calculate and display the bias for multiple timeframes.
2. **Interpret the Bias Table**:
- The bias table will show whether the market is **Bullish**, **Bearish**, or **Neutral** across different timeframes.
- Look for alignment between the timeframes—when multiple timeframes show the same bias, it may indicate a stronger trend.
3. **Use the Win/Loss Tracker**:
- Track how well your trades align with the bias using the **Win/Loss Tracker**. This helps you refine your strategy by understanding which timeframes and biases lead to higher success rates.
- For example, if you see a high number of **Buy Wins** and a low number of **Sell Wins**, you may decide to focus more on buying during bullish trends and avoid selling during bearish retracements.
4. **Track Your Period Performance**:
- The indicator will automatically track your performance over the set period (Days, Weeks, Months). Use this data to adjust your approach and evaluate the effectiveness of your trading strategy.
5. **Position the Table**:
- Customize the placement of the table on your chart based on your preferences. You can choose from options like **Top Left**, **Top Right**, **Bottom Left**, **Bottom Right**, or **Center** to keep the chart uncluttered.
6. **Adjust Settings**:
- Modify the indicator settings according to your trading style. You can adjust the **Lookback Period**, **Number of Candles to Track**, and **Time Threshold** to match the pace of your trading.
7. **Use the Info Tooltip**:
- Enable the **Info Tool** in the settings to understand how the Buy/Sell Wins and Losses are calculated. The tooltip provides a breakdown of how the indicator tracks price movements and calculates the success rate.
**Conclusion:**
The **ENIGMA Indicator** is designed to help traders make informed decisions by providing a clear view of the market bias and performance data. With the ability to track bias across multiple timeframes and evaluate your trading success, it can be a powerful tool for refining your trading strategies.
Whether you're looking to focus on a single timeframe or analyze multiple timeframes for a stronger bias, the ENIGMA Indicator adapts to your needs, providing both real-time market insights and performance feedback.
Cerca negli script per "Buy sell"
Wick Highlight IndicatorDescription:
This script is designed to help traders quickly spot significant wicks, which indicate areas of strong market rejection. By focusing on longer wicks, it identifies potential turning points where there was a strong buying or selling reaction.
Features:
Adjustable Minimum Wick Length: Users can set the minimum length of wicks to be highlighted, helping filter out less significant wicks. Default is set at 50 points.
Seller and Buyer Wick Analysis: Highlights both the top (seller pressure) and bottom (buyer pressure) wicks separately, giving a clearer view of market strength and rejection.
Non-Intrusive Display: Wicks are highlighted in black at 10% opacity, providing clear visual markers while keeping the chart clean and readable.
How to Use It: This indicator is open-source and free for all users. It aims to identify wicks that are larger than the average noise, which often indicates strong price rejections or future targets. You can adjust the minimum length to tailor the indicator to different market conditions and trading styles.
Why It Matters: Wicks often signify moments when price levels were rejected strongly, pointing to areas of potential support or resistance. By focusing only on significant wicks, this indicator helps you hone in on potential key levels of interest without overwhelming the chart with less important data. This can be particularly useful in spotting reversals or market exhaustion.
No other indicators are required, and the chart is kept clean for clarity and ease of understanding.
Notes:
This is an open-source script, and no solicitations or ads are included.
The indicator is intended to highlight significant wicks only and does not issue any buy/sell signals.
It is compliant with TradingView's publishing rules, focusing on transparency, clarity, and adding value to the community.
Support and Resistance Signals MTF [LuxAlgo]The Support and Resistance Signals MTF indicator aims to identify undoubtedly one of the key concepts of technical analysis Support and Resistance Levels and more importantly, the script aims to capture and highlight major price action movements, such as Breakouts , Tests of the Zones , Retests of the Zones , and Rejections .
The script supports Multi-TimeFrame (MTF) functionality allowing users to analyze and observe the Support and Resistance Levels/Zones and their associated Signals from a higher timeframe perspective.
This script is an extended version of our previously published Support-and-Resistance-Levels-with-Breaks script from 2020.
Identification of key support and resistance levels/zones is an essential ingredient to successful technical analysis.
🔶 USAGE
Support and resistance are key concepts that help traders understand, analyze and act on chart patterns in the financial markets. Support describes a price level where a downtrend pauses due to demand for an asset increasing, while resistance refers to a level where an uptrend reverses as a sell-off happens.
The creation of support and resistance levels comes as a result of an initial imbalance of supply/demand, which forms what we know as a swing high or swing low. This script starts its processing using the swing highs/lows. Swing Highs/Lows are levels that many of the market participants use as a historical reference to place their trading orders (buy, sell, stop loss), as a result, those price levels potentially become and serve as key support and resistance levels.
One of the important features of the script is the signals it provides. The script follows the major price movements and highlights them on the chart.
🔹 Breakouts (non-repaint)
A breakout is a price moving outside a defined support or resistance level, the significance of the breakout can be measured by examining the volume. This script is not filtering them based on volume but provides volume information for the bar where the breakout takes place.
🔹 Retests
Retest is a case where the price action breaches a zone and then revisits the level breached.
🔹 Tests
Test is a case where the price action touches the support or resistance zones.
🔹 Rejections
Rejections are pin bar patterns with high trading volume.
Finally, Multi TimeFrame (MTF) functionality allows users to analyze and observe the Support and Resistance Levels/Zones and their associated Signals from a higher timeframe perspective.
🔶 SETTINGS
The script takes into account user-defined parameters to detect and highlight the zones, levels, and signals.
🔹 Support & Resistance Settings
Detection Timeframe: Set the indicator resolution, the users may examine higher timeframe detection on their chart timeframe.
Detection Length: Swing levels detection length
Check Previous Historical S&R Level: enables the script to check the previous historical levels.
🔹 Signals
Breakouts: Toggles the visibility of the Breakouts, enables customization of the color and the size of the visuals
Tests: Toggles the visibility of the Tests, enables customization of the color and the size of the visuals
Retests: Toggles the visibility of the Retests, enables customization of the color and the size of the visuals
Rejections: Toggles the visibility of the Rejections, enables customization of the color and the size of the visuals
🔹 Others
Sentiment Profile: Toggles the visibility of the Sentiment Profiles
Bullish Nodes: Color option for Bullish Nodes
Bearish Nodes: Color option for Bearish Nodes
🔶 RELATED SCRIPTS
Support-and-Resistance-Levels-with-Breaks
Buyside-Sellside-Liquidity
Liquidity-Levels-Voids
Simple Grid Lines VisualizerAbout Grid Bots
A grid bot is a type of trading bot or algorithm that is designed to automatically execute trades within a predefined price range or grid. It is commonly used in markets that exhibit ranging or sideways movement, where prices tend to fluctuate within a specific range without a clear trend.
The grid bot strategy involves placing a series of buy and sell orders at regular intervals within the predefined price range or grid. The bot essentially creates a grid of orders, hence the name. When the price reaches one of these levels, the bot will execute the corresponding trade. For example, if the price reaches a predefined lower level, the bot will buy, and if it reaches a predefined upper level, it will sell.
The purpose of the grid bot strategy is to take advantage of the price oscillations within the range. As the price moves up and down, the bot aims to generate profits by buying at the lower end of the range and selling at the higher end. By repeatedly buying and selling at these predetermined levels, the bot attempts to capture gains from the price fluctuations.
About this Script
Simple Grid Lines Visualizer is designed to assist traders in visualizing and implementing automated price grids on their charts. With just a few inputs, this script generates gridlines based on your specified top price, bottom price, and the number of grids or profit per grid.
How it Works:
Specify Top and Bottom Prices: Start by setting the top and bottom prices that define the range within which the gridlines will be generated. These prices can be based on support and resistance levels, historical data, or any other factors you consider relevant to your analysis.
Determine Grid Parameters: Choose either the number of grids or profit per grid, depending on your preference and trading strategy. If you select the number of grids, the script will evenly distribute the gridlines within the specified price range. Alternatively, if you opt for profit per grid, the script will calculate the price increment required to achieve your desired profit level per grid.
Note that when choosing Profit per Grid , an approximation usually is performed, as all grid lines must be evenly distributed. To achieve that, the script computes the grid distance using the mean price between top and bottom, then computes how many of those complete distances may enter the entire range, and lastly, creates a grid with evenly distributed distances as close as possible to the previously computed.
Customize Styling and Display: Adjust the line color, line style, transparency, and other visual aspects to ensure clear visibility on your charts.
Analyze and Trade: Once the gridlines are plotted on your chart, carefully observe how the market interacts with them. The gridlines can act as reference points for potential support and resistance levels, as well as simple buy/sell orders for a trading bot.
Try to find gridlines that intersect prices as frequently as possible from one to another.
A grid with too many lines will make lots of potential trades, but the amount traded will be minimal (as the total amount invested is divided over the number of grids).
A grid with too few lines will make lots of profits with each trade, but the trades will be less likely to occur (depending on the top/bottom distance).
This tool aims to help visually which grid parameters seem to optimize this problem.
Future versions may include automatic profit computation.
Reversal Signals [LuxAlgo]The Reversal Signals indicator is a technical analysis tool that aims to identify when a trend is fading and potentially starting to reverse.
As a counter-trend tool, the Reversal Signals indicator aims to solve the problem of several technical analysis indicators that perform well during trending markets but struggle in ranging markets. By understanding the key concepts and applications of the tool, traders can enhance their market timing and improve their trading strategies.
Note: It's important to explore the settings of the indicator to customize to your own usage & display as there are various options available as covered below.
🔶 USAGE
The Reversal Signals indicator is comprised of two main phases: Momentum Phase and Trend Exhaustion Phase . These phases help identify potential trend reversals in bullish, bearish, and ranging markets.
🔹The Momentum Phase
The momentum phase consists of a 9-candle count and in rare cases 8-candle count. In a bullish trend, a starting number ‘1’ is plotted if a candle closes higher than the close of a candle four periods ago. In a bearish trend, a starting number ‘1’ is plotted if a candle closes lower than the close of a candle four periods ago.
The following numbers are plotted when each successive candle satisfies the four-period rule. The potential reversal point comes when the Reversal Signals plot a label on top of a candle in a bullish trend or at the bottom of a candle in a bearish trend. The momentum phase is immediately canceled if, at any point, a candle fails to satisfy the four-period rule.
Based on the extremes of the momentum phase, the Reversal Signals generate support & resistance levels as well as risk/stop levels.
🔹 The Trend Exhaustion Phase
The trend exhaustion phase starts after completing the momentum phase and consists of a 13-candle count. In a bullish trend exhaustion phase, each candle’s close is compared to the close of two candles earlier, and the close must be greater than the close two periods earlier. In a bearish trend exhaustion phase, each candle’s close is compared to the close of two candles earlier, and the close must be lower than the close two periods earlier.
The trend exhaustion phase does not require a consecutive sequence of candles; if the order of candles is interrupted, the trend exhaustion phase is not canceled. The trend exhaustion phase generates stronger trading signals than the momentum phase, with the potential for longer-lasting price reversals.
🔹 Trading Signals
The Reversal Signals script presents an overall setup and some phase-specific trade setup options, where probable trades might be considered. All phase-specific trade setups, presented as options, are triggered once the selected phase is completed and followed by a price flip in the direction of the trade setup.
Please note that those setups are presented for educational purposes only and do not constitutes professional and/or financial advice
- Momentum: Enter a trade at momentum phase completion, and search for buy (sell) when the bullish (bearish) momentum phase pattern is complete. Ideally, the momentum phase completion should close near its support/resistance line but shall not be above them, which indicates continuation of the trend
- Exhaustion: Enter a trade on trend exhaustion phase completion, and search for buy (sell) when the bullish (bearish) trend exhaustion phase is complete
- Qualified: Buy (sell) when a bullish (bearish) trend exhaustion phase combined with another bullish (bearish) momentum phase sequence is complete
Long trade setups are presented with "L" label and short trade setups with "S" label, where the content of the label displays details related to the probable trade opportunity
Once a phase-specific trade setup is triggered then the Reversal Signals script keeps checking the status of the price action relative to the phase-specific trade setups and in case something goes wrong presents a caution label. Pay attention to the content of the caution labels as well as where they appear. A trade signal, followed immediately by a warning indication can be assumed as a continuation of the underlying trend and can be traded in the opposite direction of the suggested signal
It is strongly advised to confirm trading setups in conjunction with other forms of technical and fundamental analysis, including technical indicators, chart/candlestick pattern analysis, etc.
🔶 DETAILS
The Reversal Signals script performs the detection of the phases by counting the candlestick meeting the specific conditions, which includes:
- Detection of the 8th and 9th candle perfection during the momentum phase
- In some cases, the 8th count will be assumed as momentum phase completion
- Trend exhaustion phase counting stops in case any type of momentum phase completion is detected during the counting process
- Postponing the last count of the trend exhaustion phase, the 13th candle must be below/above the 8th candle and if not the candles will be indicated with '+' sign under them and the script continues to search for a 13th candle at the next ones until the conditions are met
🔶 ALERTS
When an alert is configured, the user will have the ability to be notified in case;
Momentum / Trend Exhaustion phase completion
Support & Resistance level cross detection
Stop / Risk level cross detection
Long / Short Trade Setups are triggered
Please note, alerts are available with 'any alert() function call' and the alerts will be received only for the features that are enabled during alert configuration
🔶 SETTINGS
🔹 Momentum Phase
Display Phases: displays the momentum phases, where the Completed option allows the display of only completed momentum phases. The detailed option allows the display of the entire process of the momentum phase processes
Support & Resistance Levels: Toggles the visibility of the Support & Resistance Levels and Line Styling options
Momentum Phase Risk Levels: Toggles the visibility of the momentum phase Stop/Risk Levels and Line Styling options
For color options please refer to the options available under the style tab
🔹 Trend Exhaustion Phase
Display Phases: displays the trend exhaustion phases, where the Completed option allows the display of only completed trend exhaustion phases. The detailed option allows the display of the entire process of the trend exhaustion phase processes
Trend Exhaustion Phase Risk Levels: Toggles the visibility of the trend exhaustion phase Stop/Risk Levels
Trend Exhaustion Phase Target Levels: Toggles the visibility of the trend exhaustion phase Target Levels
For color options please refer to the options available under the style tab
🔹 Trade Setups
Overall Trend Direction & Trade Setup: displays the overall trend and probable trade setup levels, the users should search for a price flip and confirm with other means of technical and fundamental analysis for the trade setups once the label is plotted
Phase-Specific Trade Setup Options
Momentum: Searches for a trade setup after momentum phase completion
Exhaustion: Searches for a trade setup after trend exhaustion phase completion, stronger trend reversal possibility compared to momentum phase setup
Qualified: Searches for a trade setup after the trend exhaustion phase followed by a momentum phase completion
None: No trade setups are presented
Price Flips against the Phase Specific Trade Setups: enables checking the price action relative to the phase-specific trade setups
🔶 RELATED SCRIPTS
Here are the scripts that may add additional insight during potential trading decisions.
Buyside-Sellside-Liquidity
Support-Resistance-Classification
Directional Volume EStimate from Price Action (RedK D_VESPA)The "Directional Volume EStimate from Price Action (RedK D_VESPA)" is another weapon for the VPA (Volume Price Analysis) enthusiasts and traders who like to include volume-based insights & signals to their trading. The basic concept is to estimate the sell and buy split of the traded volume by extrapolating the price action represented by the shape of the associated price bar. We then create and plot an average of these "estimated buy & sell volumes" - the estimated average Net Volume is the balance between these 2 averages.
D_VESPA uses clear visualizations to represent the outcomes in a less distracting and more actionable way.
How does D_VESPA work?
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The key assumption is that when price moves up, this is caused by "buy" volume (or increasing demand), and when the price moves down, this is due to "selling" volume (or increasing supply). Important to note that we are making our Buy/sell volume estimates here based on the shape of the price bar, and not looking into lower time frame volume data - This is a different approach and is still aligned to the key concepts of VPA.
Originally this work started as an improvement to my Supply/Demand Volume Viewer (V.Viewer) , I ended up re-writing the whole thing after some more research and work on VPA, to improve the estimation, visualization and usability / tradability.
Think of D_VESPA as the "Pro" version of V.Viewer -- and please go back and review the details of V.Viewer as the root concepts are the same so I won't repeat them here (as it comes to exploring Balance Zone and finding Price Convergence/Divergence)
Main Features of D_VESPA
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- Update Supply/Demand calculation to include 2-bar gaps (improved algo)
- Add multiple options for the moving average (MA type) for the calculation - my preference is to use WMA
- Add option to show Net Volume as 3-color bars
- Visual simplification and improvements to be less distracting & more actionable
- added options to display/hide main visuals while maintaining the status line consistency (Avg Supply, Avg Demand, Avg Net)
- add alerts for NetVol moving into Buy (crosses 0 up) or Sell (crosses 0 down) modes - or swing from one mode to the other
(there are actually 2 sets of alerts, one set for the main NetVol plot, and the other for the secondary TF NetVol - give user more options on how to utilize D_VESPA)
Quick techie piece, how does the estimated buy/sell volume algo work ?
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* per our assumption, buy volume is associated with price up-moves, sell volume is associated with price down-moves
* so each of the bulls and bears will get the equivalent of the top & bottom wicks,
* for up bars, bulls get the value of the "body", else the bears get the "body"
* open gaps are allocated to bulls or bears depending on the gap direction
The below sketch explains how D_VESPA estimates the Buy/Sell Volume split based on the bar shape (including gap) - the example shows a bullish bar with an opening gap up - but the concept is the same for a down-bar or a down-gap.
I kept both the "Volume Weighted" and "2-bar Gap Impact" as options in the indicator settings - these 2 options should be always kept selected. They are there for those who would like to experiment with the difference these changes have on the buy/sell estimation. The indicator will handle cases where there is no volume data for the selected symbol, and in that case, it will simply reflect Average Estimated Bull/Bear ratio of the price bar
The Secondary TF Est Average Net Volume:
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I added the ability to plot the Estimate Average Net Volume for a secondary timeframe - options 1W, 1D, 1H, or Same as Chart.
- this feature provides traders the confidence to trade the lower timeframes in the same direction as the prevailing "market mode"
- this also adds more MTF support beyond the existing TradingView's built-in MTF support capability - experiment with various settings between exposing the indicator's secondary TF plot, and changing the TF option in the indicator settings.
Note on the secondary TF NetVol plot:
- the secondary TF needs to be set to same as or higher TF than the chart's TF - if not, a warning sign would show and the plot will not be enabled. for example, a day trader may set the secondary TF to 1Hr or 1Day, while looking at 5min or 15min chart. A swing/trend trader who frequently uses the daily chart may set the secondary TF to weekly, and so on..
- the secondary TF NetVol plot is hidden by default and needs to be exposed thru the indicator settings.
the below chart shows D_VESPA on a the same (daily) chart, but with secondary TF plot for the weekly TF enabled
Final Thoughts
-------------------
* RedK D_VESPA is a volume indicator, that estimates buy/sell and net volume averages based on the price action reflected by the shape of the price bars - this can provide more insight on volume compared to the classic volume/VolAverage indicator and assist traders in exploring the market mode (buyers/sellers - bullish/bearish) and align trades to it.
* Because D_VESPA is a volume indicator, it can't be used alone to generate a trading signal - and needs to be combined with other indicators that analysis price value (range), momentum and trend. I recommend to at least combine D_VESPA with a variant of MACD and RSI to get a full view of the price action relative to the prevailing market and the broader trend.
* I found it very useful to take note and "read" how the Est Buy vs Est Sell lines move .. they sort of "tell a story" - experiment with this on your various chart and note the levels of estimate avg demand vs estimate avg supply that this indicator exposes for some very valuable insight about how the chart action is progressing. Please feel free to share feedback below.
LowHighFinderThis chart display how value change of (low,high,close,open) is considered as a factor for buying or selling. Each element take same weight when consider the final price. The price change over a certain threshold would be the decision point (buy/sell)
Factors considered in this chart
1.Quotes: High,low,close,open,volume. If one of them higher than previous day, then it increase, otherwise decreases.
2. Multipler: If you think one quote is more important than other (High more important than close, you can set multipler higher)
3. EMA smoother: It is using to balance the price effect. Like if price increased dramatically, EMA would notify whether could be a good time to sell. (Because high deviation between MA and price suggest price increase too fast)
4. Length of line: set length of line for you need
5. Percentage change: how much percentage change is considered a significant change? 5%? or 10%? In which case should it count toward the final indicator? Adjust percentage change needed, smaller for minutes chart (less than 10) higher for hours chart (10-20), even higher for day chart
Buy/Sell method:
1. When green dot appears, wait after price start to get close to moving average to find the low point and buy.
2. Reverse for red dot.
VWAP From Multiple Sources With Cloud & Percentage GapVWAP CLOUD FROM CLOSE, OPEN, HIGH & LOW SOURCES WITH CLOUD & PERCENTAGE GAP
VWAP stands for volume weighted average price and shows the average price of buys/sells based on volume traded across the current session. This VWAP is based off of the Daily session.
***HOW TO USE***
Use the purple cloud between the VWAPs as your entry points as price will typically bounce from that cloud area.
The Yellow Line is the VWAP using the close price as a source.
The Green Line is the VWAP using the open price as a source.
The Blue Line is the VWAP using the high price as a source.
The Purple Line is the VWAP using the low price as a source.
When price is above the VWAP cloud, the background will paint green because the trend is bullish.
When price is below the VWAP cloud, the background will paint red because the trend is bearish.
In the bottom right hand corner, three is a table that will show you the current percentage gap between current price and the VWAP using close as the source.
All sources and colors can be easily switched in the settings menu.
***MARKETS***
This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex.
***TIMEFRAMES***
This vwap indicator can be used on all timeframes but is calculated using the daily session.
***TIPS***
Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are our Auto Fibonacci, Volume Profile, Directional Movement Index, Momentum, Auto Support And Resistance and Money Flow Index in combination with this VWAP Cloud. The other indicators all have real time Bullish and Bearish labels as well so you can immediately understand each indicator's trend.
Moon Phases Strategy [LuxAlgo]Trading moon phases has become quite popular among traders, believing that there exists a relationship between moon phases and market movements. This strategy is based on an estimate of moon phases with the possibility to use different methods to determine long/short positions based on moon phases.
Note that we assume moon phases are perfectly periodic with a cycle of 29.530588853 days (which is not realistically the case), as such there exists a difference between the detected moon phases by the strategy and the ones you would see. This difference becomes less important when using higher timeframes.
Settings
New Moon Reference Date: Date of a new moon to be used as starting point for the cycle calculation. Buy: Determine the condition to be used to open a long position Sell: Determine the condition to be used to open a short position
Description
The strategy can use different buy/sell conditions, these are determined in the Buy/Sell settings drop-down menu.
By default, the strategy goes long on a new moon and short on a full moon. This setup is common since full moons are said to be related to depressed mood. However, it is possible to use inverse conditions.
Users can also go long on higher moons (new moons or full moons occurring at a price that is higher than the previous one when a new/full moon occurred) and short on lower moons, this would return a trend following strategy, using the inverse conditions (buy lower moons/sell higher moons) would return a contrarian strategy.
The above chart displays the strategy using default conditions.
The above chart displays the strategy of going long on a higher moon and selling on a lower moon.
Quick Summary
We provide a quick summary of the strategy using default conditions (buy on a new moon, sell on a full moon) on various tickers using the 4h timeframe (note that using a lower timeframe would return a backtest executing a lower number of trades).
Constant position sizing is used and no frictional costs are considered.
BTCUSD
The moon phases strategy has been regularly tested with BTCUSD, with traders highlighting how moon phases tend to occur during tops/bottoms. We test the strategy from 2019-01-06 00:00.
Net Profit: $68544.86 Closed Trades : 67 % Profitability : 50.75 Max Drawdown : $18541.24 Max
TSLA
The strategy is tested from 2011-01-04 14:30
Net profit: $349.17 Closed Trades : 265 % Profitability : 54.34 Max Drawdown : $262.72
EURUSD
The strategy is tested from 2018-01-16 14:00.
Net profit: $-0.18 Closed Trades : 91 % Profitability : 50.55 Max Drawdown : 0.36
Market Delta Volume for Realtime BarsWhat is it?
Market Delta Volume Tool for real-time bars
A market delta tool that shows, (1) the volume that got transacted on upticks - or the market buy volume; (2) the volume that got transacted on downticks - or the market sell volume (3) the market delta volume (i.e., market buy volume - market sell volume); (4) the total volume (market buy volume + market sell volume + neutral volume); and (4) the volume that got transacted without a change in price - or the neutral volume (total volume = market buy volume + market sell volume + neutral volume)
NOTE: THIS WORKS ONLY ON REAL-TIME BARS, NOT ON HISTORICAL BARS! The dotted line marks the start of real-time data (i.e., the bar from which the indicator started collecting and displaying data). You will see accurate data only for bars to the right of this line.
The longer you keep a chart open with the study enabled, the more data it collects and displays and the better your analysis can potentially be.
Note that the data gets reset every time any of the options is changed, the market is switched, the browser is refreshed, or the script is reloaded.
DATA ISN'T STORED. I.e., every time a new symbol is loaded/or the same symbol is reloaded, data gets refreshed.
Who is it for?
For traders who are used to analyzing buy/sell activity using market delta information. Especially, short-term trader/scalpers who are used to keeping the same chart open through the trading session.
Also for traders to see and study how anomalies in volume can give clues to buyer/seller absorption, initiative buying/selling etc.
Can be used to better understand VSA as well, although not necessary.
Essentially, this gives real-time delta volume information; use it however you see fit.
CryptoSignalScanner - MACD Multiple Time FramesDESCRIPTION:
After receiving some multiple request to provide a MACD indicator that displays multiple timeframes at the same time I created this simple script.
You can use this script for free and adjust it as much you like.
With this script you can plot 6 MACD lines & 6 Signal lines.
• Current Timeframe MACD Line
• Current Timeframe Signal Line
• 15 minute candle MACD Line
• 15 minute candle Signal Line
• 30 minute candle MACD Line
• 30 minute candle Signal Line
• 1 hour candle MACD Line
• 1 hour candle Signal Line
• 2 hour candle MACD Line
• 2 hour candle Signal Line
• 4 hour candle MACD Line
• 4 hour candle Signal Line
HOW TO USE:
• When multiple MACD lines on an uptrend are grouped together it is time to SELL.
• When multiple MACD lines on a downtrend are grouped together it is time to BUY.
• The higher to length of the MACD lines the stronger the BUY/SELL signal.
FEATURES:
• You can show/hide the preferred MACD lines.
• You can show/hide the preferred Signal lines.
How MACD works
The MACD indicator is generated by subtracting two exponential moving averages (EMAs) to create the main line (MACD line), which is then used to calculate another EMA that represents the signal line. In addition, there is the MACD histogram, which is calculated based on the differences between those two lines. The histogram, along with the other two lines, fluctuates above and below a center line, which is also known as the zero line.
The MACD indicator consists of three elements moving around the zero line:
• The MACD line. By default the MACD line is calculated by subtracting the 26-day EMA from the 12-day EMA.
MACD line = 12d EMA - 26d EMA
• The signal line. By default the signal line is calculated from a 9-day EMA of the MACD line.
Signal line = 9d EMA of MACD line
• Histogram. The histogram is nothing more than a visual record of the relative movements of the MACD line and the signal line.
It is simply calculated as: MACD line - signal line
REMARKS:
• This advice is NOT financial advice.
• We do not provide personal investment advice and we are not a qualified licensed investment advisor.
• All information found here, including any ideas, opinions, views, predictions, forecasts, commentaries, suggestions, or stock picks, expressed or implied herein, are for informational, entertainment or educational purposes only and should not be construed as personal investment advice.
• We will not and cannot be held liable for any actions you take as a result of anything you read here.
• We only provide this information to help you make a better decision.
• While the information provided is believed to be accurate, it may include errors or inaccuracies.
Good Luck,
SEOCO
SMA Strategy - Indicator Version for AlertIn this indicator, I made use of two different sma intersections for buying and selling points. You can use the intersection of 2 sma values for buying and 2 separate sma intersection for selling.
There are 3 different alarms for those who want to set an alarm.
- Cross Alarm: The alarm that will work on buy-sell signals for those who have the right to set a single alarm.
- Buy Alarm: The alarm that will operate at the receiving point according to the values you specified.
- Sell Alarm: The alarm that will operate at the sales point according to the values you specify.
GnG - Cuan Sniper with 7MA and Buy Sell SignalThis Indicator possible users to get a signal when buying and selling.
Using Cross EMA :
when short EMA cross-up Long EMA is Signal to Buy
when short EMA cross-down Long EMA is Signal to Sell
Using Stochastic 14-3-3 to get signal overbought and oversold.
when oversold, and StochK is crossing-up stochD, will show signal to buy.
when overbought, and StockK is crossing-down stockD, will show signal to sell.
Using Parabolic SAR, Pivot H/L, Cloud and Linear Regression to find Resistance and Support.
Disclaimer On. Take your own risk.
FibMAThis study visually demonstrates Fibonacci moving averages.
The darker the color, the stronger the signal is for either buying or selling.
Buys/Sells only take place when each moving average is above/below the its adjactent fibonacci sequence, i.e 5<8<13<21<34<55<89<144 for buying..
Alerts are provided as BUY ASSET and SELL ASSET.
Multiple moving averages are also provided.
Sell / Buy RatesThis script finds sell / buy rates and adds its linear regression to the chart. its aim is finding buying and selling power, then you can try to find trend reversals. Also you can find divergences, it's very important signal for trend reversal.
Linear regression is a basic and commonly used type of predictive analysis.
if you choose lower periods then it will be more sensitive. I choose 34 as it's one of fibonnaci number.
If you find my works useful, please consider a donation
BTC: 16XRqyS3Vgh1knAU1tCcruqhUrVm4QWWmR
CryptogramTR with OPEN CODEIndicator is obtained by importing RSI(14) into HULL moving average source with 2 different periods, as one is long period and the other is short.
When green line (short period) cross upward the red line (long period) , this is a BUY; vice versa it is a SELL.
When HMA Short Period is set to 1 (one), yielding line is absolutely the same line of RSI (14). You can change it into 8(eight) preferably.
İndikatör, RSI(14) indikatörünün, hull hareketli ortalamasının kod kaynağı olarak atanması ile elde edilmiştir. Uzun ve kısa olmak üzere 2 ayrı periyot kullanılmıştır.
Yeşil çizgi yani kısa periyotlu çizgi, kırmızı yani uzun periyotlu olanı yukarı keserse AL, tersi durum SAT olarak düşünülmelidir.
Hull Kısa Periyodu 1 iken oluşan yeşil çizgi, RSI(14) indikatörünü vermektedir. Kısa periyot olarak tercihinize göre bu değeri 8 olarak da kullanabilirsiniz.
XPloRR MA-Trailing-Stop StrategyXPloRR MA-Trailing-Stop Strategy
Long term MA-Trailing-Stop strategy with Adjustable Signal Strength to beat Buy&Hold strategy
None of the strategies that I tested can beat the long term Buy&Hold strategy. That's the reason why I wrote this strategy.
Purpose: beat Buy&Hold strategy with around 10 trades. 100% capitalize sold trade into new trade.
My buy strategy is triggered by the fast buy EMA (blue) crossing over the slow buy SMA curve (orange) and the fast buy EMA has a certain up strength.
My sell strategy is triggered by either one of these conditions:
the EMA(6) of the close value is crossing under the trailing stop value (green) or
the fast sell EMA (navy) is crossing under the slow sell SMA curve (red) and the fast sell EMA has a certain down strength.
The trailing stop value (green) is set to a multiple of the ATR(15) value.
ATR(15) is the SMA(15) value of the difference between the high and low values.
The scripts shows a lot of graphical information:
The close value is shown in light-green. When the close value is lower then the buy value, the close value is shown in light-red. This way it is possible to evaluate the virtual losses during the trade.
the trailing stop value is shown in dark-green. When the sell value is lower then the buy value, the last color of the trade will be red (best viewed when zoomed)(in the example, there are 2 trades that end in gain and 2 in loss (red line at end))
the EMA and SMA values for both buy and sell signals are shown as a line
the buy and sell(close) signals are labeled in blue
How to use this strategy?
Every stock has it's own "DNA", so first thing to do is tune the right parameters to get the best strategy values voor EMA , SMA, Strength for both buy and sell and the Trailing Stop (#ATR).
Look in the strategy tester overview to optimize the values Percent Profitable and Net Profit (using the strategy settings icon, you can increase/decrease the parameters)
Then keep using these parameters for future buy/sell signals only for that particular stock.
Do the same for other stocks.
Important : optimizing these parameters is no guarantee for future winning trades!
Here are the parameters:
Fast EMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 10-20)
Slow SMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 30-100)
Minimum Buy Strength: minimum upward trend value of the Fast SMA Buy value (directional coefficient)(use values between 0-120)
Fast EMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 10-20)
Slow SMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 30-100)
Minimum Sell Strength: minimum downward trend value of the Fast SMA Sell value (directional coefficient)(use values between 0-120)
Trailing Stop (#ATR): the trailing stop value as a multiple of the ATR(15) value (use values between 2-20)
Example parameters for different stocks (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now) compared to the Buy&Hold Strategy(=do nothing):
BEKB(Bekaert): EMA-Buy=12, SMA-Buy=44, Strength-Buy=65, EMA-Sell=12, SMA-Sell=55, Strength-Sell=120, Stop#ATR=20
NetProfit: 996%, #Trades: 6, %Profitable: 83%, Buy&HoldProfit: 78%
BAR(Barco): EMA-Buy=16, SMA-Buy=80, Strength-Buy=44, EMA-Sell=12, SMA-Sell=45, Strength-Sell=82, Stop#ATR=9
NetProfit: 385%, #Trades: 7, %Profitable: 71%, Buy&HoldProfit: 55%
AAPL(Apple): EMA-Buy=12, SMA-Buy=45, Strength-Buy=40, EMA-Sell=19, SMA-Sell=45, Strength-Sell=106, Stop#ATR=8
NetProfit: 6900%, #Trades: 7, %Profitable: 71%, Buy&HoldProfit: 2938%
TNET(Telenet): EMA-Buy=12, SMA-Buy=45, Strength-Buy=27, EMA-Sell=19, SMA-Sell=45, Strength-Sell=70, Stop#ATR=14
NetProfit: 129%, #Trade
Advance Trading SystemThis Price Action + Volume based indicator combines Multi‑Timeframe swing structure, volume ranking, liquidity zones and auto long/short signal generation to create an “Advance Trading System” that displays OB (order block‑like) levels, dashboard and entry/exit labels on the chart.
What this indicator does
Looks at recent candles on different timeframes to determine if the trend is more “bullish” or “bearish” (considers it bullish if at least 2 out of 3 timeframes agree).
Picks up the recent swing points where the price can reverse and plots green/red lines on them (called “Buy OB”/“Sell OB” here).
Shows when volume has increased, whether the bar is an inside-bar or not, and a small dashboard in the top-right that shows the trend, reversal levels, volume and LTF/HTF signals.
What are the buttons/settings
Swing Strength: Based on how many bars the recent swing high/low will be confirmed; if the number increases, the signal will come late but with more confidence.
Volume Avg Period: How many bars the volume should be averaged from; this checks “whether the volume is strong or not”.
Show HH/HL/LH/LL Labels: Switch to show/hide swing labels by writing them on the chart.
Show Dashboard: Small panel on/off in the top-right.
Signal Mode: Auto, Long Only, Short Only or Both—that is, whether to follow the auto-trend or see only buy/sell.
LTF/HTF: Choose lower and higher timeframes; also 15m/30m/1h/4h are scanned in the background to understand the recent direction.
How to identify trends and swings
Candle patterns: Simple rule—if the latest candle is biased (e.g. a strong bull/bear or a particularly long wick candle), then the signal for that TF is 1 (bull) or -1 (bear); otherwise 0.
Three TFs: Lower, Mid (which is the chart TF), and Higher—the non-zero signal is considered the “last known direction”; then the number of the three is counted as bull/bear.
Swing high/low: The most recent “solid” high/low on the chart is considered the highest/lowest within a few bars to the left or right; this indicates whether the new high is above (HH) or below (LH) the old one, and whether the new low is above (HL) or below (LL).
What are the green/red lines
If the trend is bullish (at least 2 out of 3 TFs are bullish), a green line is drawn near the previous confirmed low—here it is called Buy OB; the idea is that if the price comes near this zone, a bounce is expected.
On a bearish trend, a red line is drawn near the previous confirmed high—Sell OB—which means if the price comes near that zone, a drop is expected.
Volume colors and inside-bars
color of each bar is determined by the volume ranking: orange/yellow for low volume, varying shades of blue for high volume; if an inside-bar is formed (both high/low inside the previous bar) the bar is darkened to draw attention.
Simple estimation of liquidity zone
When the recent swing high is formed, the total volume is looked at in the surrounding few bars (eg: 3-3 bars before/after) and the upper/lower edge is noted where the maximum concentration is - this is considered as the liquidity zone.
The same is done for the high TF as well and the average of both is taken to form an MTF zone to get a big-picture picture.
What the dashboard shows
Trend (Multi‑TF): HL/HH indicates bullish trend, LH/LL indicates bearish trend; color green/red.
Reversal Level: Level where the recent reversal was confirmed (high/low of the last confirmed swing).
Volume vs Prev: Volume higher/lower/equal to the previous bar.
Volume: Raw number, color green/red depending on whether Price is buy or sell.
LTF/HTF: Last received signal as BUY/SELL.
How entry/exit signals are formed
Basic conditions:
Mood bias: at least 2 TFs in the same direction.
Volume strength: current volume is well above average and higher than the previous bar—i.e. there is real juice.
Near zone: price is in a small band around the green/red line (e.g. within about -2% to +1% for Buy).
Long Entry : all three conditions above are met on the previous close of the bar in the buy direction; Short Entry is the opposite. Exit rule is also placed on the previous bar of the opposite signal, so that everything is on a “confirmed close” and false shocks are minimized.
Labels: once the signal is confirmed, the labels “LONG ENTRY”, “LONG EXIT”, “SHORT ENTRY”, “SHORT EXIT” are applied to the chart on the previous bar itself, with a small ATR-based gap for clear reading.
How Auto/Manual modes work
Auto (TF Based): The system will decide whether to look at Long Only, Short Only, or Both—depending on the Multi‑TF trend.
Long Only/Short Only: Only signals from that side will be generated; Both will generate both.
What to look for in the limits
Swing confirmation takes time, as you have to wait for a few bars to the right—so the signal is more reliable with a slight delay.
The term “OB” is used here for a simple level; this is not pro-level order-block detection (such as with FVG/break-off-structure), but it works well with this system.
Volume ranking is simple; ties are possible at equal volume, which can reduce precision in color-coding.
How to use
First check the trend from the dashboard: focus on the buy zone if HL/HH, sell zone if LH/LL.
Then check if there is a volume spike; without volume confirmation it is better to skip signals.
When the price is right near the green/red line, only work with a confirmed signal on the previous close bar, avoid rushing in between.
This can be made more robust if desired by adding true order‑block, FVG, and additional confirmations (such as RSI/MACD/Structure Break); but the base idea is to combine multi‑timeframe trend + swing levels + volume strength + zone close to produce simple, Tradeable and confirmed signals.
EMA Oscillator [Alpha Extract]A precision mean reversion analysis tool that combines advanced Z-score methodology with dual threshold systems to identify extreme price deviations from trend equilibrium. Utilizing sophisticated statistical normalization and adaptive percentage-based thresholds, this indicator provides high-probability reversal signals based on standard deviation analysis and dynamic range calculations with institutional-grade accuracy for systematic counter-trend trading opportunities.
🔶 Advanced Statistical Normalization
Calculates normalized distance between price and exponential moving average using rolling standard deviation methodology for consistent interpretation across timeframes. The system applies Z-score transformation to quantify price displacement significance, ensuring statistical validity regardless of market volatility conditions.
// Core EMA and Oscillator Calculation
ema_values = ta.ema(close, ema_period)
oscillator_values = close - ema_values
rolling_std = ta.stdev(oscillator_values, ema_period)
z_score = oscillator_values / rolling_std
🔶 Dual Threshold System
Implements both statistical significance thresholds (±1σ, ±2σ, ±3σ) and percentage-based dynamic thresholds calculated from recent oscillator range extremes. This hybrid approach ensures consistent probability-based signals while adapting to varying market volatility regimes and maintaining signal relevance during structural market changes.
// Statistical Thresholds
mild_threshold = 1.0 // ±1σ (68% confidence)
moderate_threshold = 2.0 // ±2σ (95% confidence)
extreme_threshold = 3.0 // ±3σ (99.7% confidence)
// Percentage-Based Dynamic Thresholds
osc_high = ta.highest(math.abs(z_score), lookback_period)
mild_pct_thresh = osc_high * (mild_pct / 100.0)
moderate_pct_thresh = osc_high * (moderate_pct / 100.0)
extreme_pct_thresh = osc_high * (extreme_pct / 100.0)
🔶 Signal Generation Framework
Triggers buy/sell alerts when Z-score crosses extreme threshold boundaries, indicating statistically significant price deviations with high mean reversion probability. The system generates continuation signals at moderate levels and reversal signals at extreme boundaries with comprehensive alert integration.
// Extreme Signal Detection
sell_signal = ta.crossover(z_score, selected_extreme)
buy_signal = ta.crossunder(z_score, -selected_extreme)
// Dynamic Color Coding
signal_color = z_score >= selected_extreme ? #ff0303 : // Extremely Overbought
z_score >= selected_moderate ? #ff6a6a : // Overbought
z_score >= selected_mild ? #b86456 : // Mildly Overbought
z_score > -selected_mild ? #a1a1a1 : // Neutral
z_score > -selected_moderate ? #01b844 : // Mildly Oversold
z_score > -selected_extreme ? #00ff66 : // Oversold
#00ff66 // Extremely Oversold
🔶 Visual Structure Analysis
Provides a six-tier color gradient system with dynamic background zones indicating mild, moderate, and extreme conditions. The histogram visualization displays Z-score intensity with threshold reference lines and zero-line equilibrium context for precise mean reversion timing.
snapshot
4H
1D
🔶 Adaptive Threshold Selection
Features intelligent threshold switching between statistical significance levels and percentage-based dynamic ranges. The percentage system automatically adjusts to current volatility conditions using configurable lookback periods, while statistical thresholds maintain consistent probability-based signal generation across market cycles.
🔶 Performance Optimization
Utilizes efficient rolling calculations with configurable EMA periods and threshold parameters for optimal performance across all timeframes. The system includes comprehensive alert functionality with customizable notification preferences and visual signal overlay options.
🔶 Market Oscillator Interpretation
Z-score > +3σ indicates statistically significant overbought conditions with high reversal probability, while Z-score < -3σ signals extreme oversold levels suitable for counter-trend entries. Moderate thresholds (±2σ) capture 95% of normal price distributions, making breaches statistically significant for systematic trading approaches.
snapshot
🔶 Intelligent Signal Management
Automatic signal filtering prevents false alerts through extreme threshold crossover requirements, while maintaining sensitivity to genuine statistical deviations. The dual threshold system provides both conservative statistical approaches and adaptive market condition responses for varying trading styles.
Why Choose EMA Oscillator ?
This indicator provides traders with statistically-grounded mean reversion analysis through sophisticated Z-score normalization methodology. By combining traditional statistical significance thresholds with adaptive percentage-based extremes, it maintains effectiveness across varying market conditions while delivering high-probability reversal signals based on quantifiable price displacement from trend equilibrium, enabling systematic counter-trend trading approaches with defined statistical confidence levels and comprehensive risk management parameters.
Quantum Trading MatrixThe Quantum Trading Matrix is a sophisticated Pine Script indicator designed for TradingView that offers a comprehensive trading dashboard by combining multiple market analysis techniques in one interface. The indicator integrates price action, volume, momentum, trend detection, institutional activity, and technical oscillators to provide traders a unified perspective on the market.
At its core, the script uses fundamental market data like price (open, high, low, close) and volume to calculate various metrics. The VWAP (Volume Weighted Average Price) is a key element that helps traders understand if the price is trading above or below the average price weighted by volume, indicating market strength or weakness. The distance of the current price from the VWAP is computed as a percentage to signal how far the price has diverged from this benchmark.
Momentum is measured through a "Quantum Momentum Oscillator" derived from the difference between fast and slow exponential moving averages of price. Positive momentum signals bullish conditions while negative momentum signals bearish ones. Volume flow analysis breaks down buying versus selling pressure on each bar by observing where the close price lies within the daily range combined with volume, generating an order flow ratio. This aids in identifying if buyers or sellers dominate the market at a given time.
Trend detection involves calculating EMAs of different lengths (8, 21, and 50) and aggregating their relationships into a trend score. Scores range from strong uptrend to downtrend, providing a clear directional bias. Institutional activity is inferred by detecting volume spikes significantly above the average volume, suggesting large players might be active. A dark pool estimate provides an approximate volume figure representing hidden or off-exchange trading.
The script also identifies market structure by detecting pivot highs and lows which act as resistance and support levels, respectively. These levels offer valuable insight into potential price reversals or breakouts. The RSI (Relative Strength Index) is incorporated, including a basic divergence detection to suggest potential bull or bear reversals. Volatility is measured using the Average True Range (ATR), classifying the current volatility from low to extreme, helping traders gauge the risk environment.
All these metrics are combined into a scoring system that awards points for positive indications such as price above VWAP, positive order flow, bullish momentum, and an uptrend in EMAs. The overall score ranges from 0 to 100 and is interpreted visually with emojis: a rocket for strong bullish setups, a chart up emoji for positive bias, a balanced scale for neutral, and a chart down emoji for bearish conditions.
The indicator issues alerts based on the combination of these signals, including bullish and bearish setups when multiple criteria align favorably, volume spike alerts when abnormal volume events occur, and institutional activity alerts for high volume surges.
To use this indicator effectively, traders should first assess the trend direction indicated by the EMA-based scoring. Positive momentum and price trading above the VWAP confirm bullish bias, while the opposite suggests bearishness. Volume flow and institutional activity provide additional confirmation. Support and resistance levels derived from pivots help in planning entries and exits. The RSI and volatility readings inform traders of potential overbought or oversold conditions and market risk levels. Alerts provide timely notifications to act on significant setups.
The indicator is highly customizable, allowing users to adjust the dashboard's position, size, and color theme to suit personal preferences. Parameters such as the momentum period, volume profile bars, trend multiplier, and signal sensitivity can be fine-tuned to adapt to different markets and trading styles.
This tool requires foundational knowledge of key technical concepts such as EMAs, VWAP, ATR, RSI, and volume analysis for best utilization. For traders interested in expanding their understanding, recommended resources include the TradingView Pine Script manual, technical analysis books by John J. Murphy and Dr. Alexander Elder, and practical video tutorials focusing on volume spread analysis and institutional order flow.
Overall, the Quantum Trading Matrix™ serves as a powerful control panel for active traders, providing a multi-dimensional view of the market through combined technical indicators, helping to identify high probability trade setups and manage risk effectively.
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⚠️ Warning:
• Trading financial markets involves substantial risk.
• You can lose more money than you invest.
• Past performance of indicators does not guarantee future results.
• This script must not be copied, resold, or republished without authorization from aiTrendview.
By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice.
________________________________________
⚠️ Disclaimer and Warning (From aiTrendview)
This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment.
The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
Imbalance No SL📊 Strategy Name: Imbalance No SL
This strategy specially trades on price jumps (true imbalances) in the market, takes advantage of momentum only, and as soon as the opposite signal and profit is received, the trade is closed immediately.
Imbalance No SL strategy specially generates buy and sell signals based on "Imbalance" logic, without any fixed Stop Loss.
🔍 Core Logic
Imbalance Detection
Bullish Imbalance : When the low of the current candle is above the high of the previous candle.
(i.e. a jump type gap occurred in the market – demand is high, price went straight up)
Bearish Imbalance : When the high of the current candle is below the low of the previous candle.
(i.e. the market suddenly fell down)
Creating Visual Box and Label on Signal:
As soon as bullish imbalance is found, green box & IMB BULL label is displayed on the chart.
Bearish has red box & IMB BEAR label.
Trade Entry Logic
BUY on Bullish Imbalance: If there is already a buy or neutral position, then a new “BUY” signal will fire.
SELL on Bearish Imbalance: If already in sell or neutral position, then new “SELL” signal will fire.
You can set quantity/lot size from ‘qty’ input field.
Trade Average Calculation
Buy/Sell maintains average price and their count (so that if averaging is done then correct P&L is calculated).
Trade Exit Logic (Profit Booking/Signal Reverse)
If your buy is going on and bearish imbalance is formed + price is above your average, then buy will be closed (profit condition).
If sell is going on and bullish imbalance is formed + price is below average, then sell will be closed.
Chart Cleaning/Management
Only keep the label and box of the latest signal on the chart, old boxes/labels are automatically deleted.
Alert
You can get alert on bullish or bearish signal (by using alert feature of TradingView).
✅ Simple Explanation for User
This strategy buys or sells directly at the gap (imbalance).
Whenever there is a clear signal of momentum in the market (breakout of the gap), then the trade entry takes place.
When there is an imbalance in the opposite direction and profit is made, the system closes the trade (closes).
There is no fixed stop-loss, risk management is handled by trade averaging/close.
You will know at every point on the visually chart that at which bar the buy, sell and exit took place.
⚠️ What to remember?
If the market is in trend then this script gives very good signals.
In choppy/sideways market, some loss trades can also come because there is no SL.
Big profit or big loss – both depend on the imbalance signal and market speed.
Advanced Volume Profile Pro Delta + POC + VAH/VAL# Advanced Volume Profile Pro - Delta + POC + VAH/VAL Analysis System
## WHAT THIS SCRIPT DOES
This script creates a comprehensive volume profile analysis system that combines traditional volume-at-price distribution with delta volume calculations, Point of Control (POC) identification, and Value Area (VAH/VAL) analysis. Unlike standard volume indicators that show only total volume over time, this script analyzes volume distribution across price levels and estimates buying vs selling pressure using multiple calculation methods to provide deeper market structure insights.
## WHY THIS COMBINATION IS ORIGINAL AND USEFUL
**The Problem Solved:** Traditional volume indicators show when volume occurs but not where price finds acceptance or rejection. Standalone volume profiles lack directional bias information, while basic delta calculations don't provide structural context. Traders need to understand both volume distribution AND directional sentiment at key price levels.
**The Solution:** This script implements an integrated approach that:
- Maps volume distribution across price levels using configurable row density
- Estimates delta (buying vs selling pressure) using three different methodologies
- Identifies Point of Control (highest volume price level) for key support/resistance
- Calculates Value Area boundaries where 70% of volume traded
- Provides real-time alerts for key level interactions and volume imbalances
**Unique Features:**
1. **Developing POC Visualization**: Real-time tracking of Point of Control migration throughout the session via blue dotted trail, revealing institutional accumulation/distribution patterns before they complete
2. **Multi-Method Delta Calculation**: Price Action-based, Bid/Ask estimation, and Cumulative methods for different market conditions
3. **Adaptive Timeframe System**: Auto-adjusts calculation parameters based on chart timeframe for optimal performance
4. **Flexible Profile Types**: N Bars Back (precise control), Days Back (calendar-based), and Session-based analysis modes
5. **Advanced Imbalance Detection**: Identifies and highlights significant buying/selling imbalances with configurable thresholds
6. **Comprehensive Alert System**: Monitors POC touches, Value Area entry/exit, and major volume imbalances
## HOW THE SCRIPT WORKS TECHNICALLY
### Core Volume Profile Methodology:
**1. Price Level Distribution:**
- Divides price range into user-defined rows (10-50 configurable)
- Calculates row height: `(Highest Price - Lowest Price) / Number of Rows`
- Distributes each bar's volume across price levels it touched proportionally
**2. Delta Volume Calculation Methods:**
**Price Action Method:**
```
Price Range = High - Low
Buy Pressure = (Close - Low) / Price Range
Sell Pressure = (High - Close) / Price Range
Buy Volume = Total Volume × Buy Pressure
Sell Volume = Total Volume × Sell Pressure
Delta = Buy Volume - Sell Volume
```
**Bid/Ask Estimation Method:**
```
Average Price = (High + Low + Close) / 3
Buy Volume = Close > Average ? Volume × 0.6 : Volume × 0.4
Sell Volume = Total Volume - Buy Volume
```
**Cumulative Method:**
```
Buy Volume = Close > Open ? Volume : Volume × 0.3
Sell Volume = Close ≤ Open ? Volume : Volume × 0.3
```
**3. Point of Control (POC) Identification:**
- Scans all price levels to find maximum volume concentration
- POC represents the price level with highest trading activity
- Acts as significant support/resistance level
- **Developing POC Feature**: Tracks POC evolution in real-time via blue dotted trail, showing how institutional interest migrates throughout the session. Upward POC migration indicates accumulation patterns, downward migration suggests distribution, providing early trend signals before price confirmation.
**4. Value Area Calculation:**
- Starts from POC and expands up/down to encompass 70% of total volume
- VAH (Value Area High): Upper boundary of value area
- VAL (Value Area Low): Lower boundary of value area
- Expansion algorithm prioritizes direction with higher volume
**5. Adaptive Range Selection:**
Based on profile type and timeframe optimization:
- **N Bars Back**: Fixed lookback period with performance optimization (20-500 bars)
- **Days Back**: Calendar-based analysis with automatic timeframe adjustment (1-365 days)
- **Session**: Current trading session or custom session times
### Performance Optimization Features:
- **Sampling Algorithm**: Reduces calculation load on large datasets while maintaining accuracy
- **Memory Management**: Clears previous drawings to prevent performance degradation
- **Safety Constraints**: Prevents excessive memory usage with configurable limits
## HOW TO USE THIS SCRIPT
### Initial Setup:
1. **Profile Configuration**: Select profile type based on trading style:
- N Bars Back: Precise control over data range
- Days Back: Intuitive calendar-based analysis
- Session: Real-time session development
2. **Row Density**: Set number of rows (30 default) - more rows = higher resolution, slower performance
3. **Delta Method**: Choose calculation method based on market type:
- Price Action: Best for trending markets
- Bid/Ask Estimate: Good for ranging markets
- Cumulative: Smoothed approach for volatile markets
4. **Visual Settings**: Configure colors, position (left/right), and display options
### Reading the Profile:
**Volume Bars:**
- **Length**: Represents relative volume at that price level
- **Color**: Green = net buying pressure, Red = net selling pressure
- **Intensity**: Darker colors indicate volume imbalances above threshold
**Key Levels:**
- **POC (Blue Line)**: Highest volume price - major support/resistance
- **VAH (Purple Dashed)**: Value Area High - upper boundary of fair value
- **VAL (Orange Dashed)**: Value Area Low - lower boundary of fair value
- **Value Area Fill**: Shaded region showing main trading range
**Developing POC Trail:**
- **Blue Dotted Lines**: Show real-time POC evolution throughout the session
- **Migration Patterns**: Upward trail indicates bullish accumulation, downward trail suggests bearish distribution
- **Early Signals**: POC movement often precedes price movement, providing advance warning of institutional activity
- **Institutional Footprints**: Reveals where smart money concentrated volume before final POC establishment
### Trading Applications:
**Support/Resistance Analysis:**
- POC acts as magnetic price level - expect reactions
- VAH/VAL provide intermediate support/resistance levels
- Profile edges show areas of low volume acceptance
**Developing POC Analysis:**
- **Upward Migration**: POC moving higher = institutional accumulation, bullish bias
- **Downward Migration**: POC moving lower = institutional distribution, bearish bias
- **Stable POC**: Tight clustering = balanced market, range-bound conditions
- **Early Trend Detection**: POC direction change often precedes price breakouts
**Entry Strategies:**
- Buy at VAL with POC as target (in uptrends)
- Sell at VAH with POC as target (in downtrends)
- Breakout plays above/below profile extremes
**Volume Imbalance Trading:**
- Strong buying imbalance (>60% threshold) suggests continued upward pressure
- Strong selling imbalance suggests continued downward pressure
- Imbalances near key levels provide high-probability setups
**Multi-Timeframe Context:**
- Use higher timeframe profiles for major levels
- Lower timeframe profiles for precise entries
- Session profiles for intraday trading structure
## SCRIPT SETTINGS EXPLANATION
### Volume Profile Settings:
- **Profile Type**: Determines data range for calculation
- N Bars Back: Exact number of bars (20-500 range)
- Days Back: Calendar days with timeframe adaptation (1-365 days)
- Session: Trading session-based (intraday focus)
- **Number of Rows**: Profile resolution (10-50 range)
- **Profile Width**: Visual width as chart percentage (10-50%)
- **Value Area %**: Volume percentage for VA calculation (50-90%, 70% standard)
- **Auto-Adjust**: Automatically optimizes for different timeframes
### Delta Volume Settings:
- **Show Delta Volume**: Enable/disable delta calculations
- **Delta Calculation Method**: Choose methodology based on market conditions
- **Highlight Imbalances**: Visual emphasis for significant volume imbalances
- **Imbalance Threshold**: Percentage for imbalance detection (50-90%)
### Session Settings:
- **Session Type**: Daily, Weekly, Monthly, or Custom periods
- **Custom Session Time**: Define specific trading hours
- **Previous Sessions**: Number of historical sessions to display
### Days Back Settings:
- **Lookback Days**: Number of calendar days to analyze (1-365)
- **Automatic Calculation**: Script automatically converts days to bars based on timeframe:
- Intraday: Accounts for 6.5 trading hours per day
- Daily: 1 bar per day
- Weekly/Monthly: Proportional adjustment
### N Bars Back Settings:
- **Lookback Bars**: Exact number of bars to analyze (20-500)
- **Precise Control**: Best for systematic analysis and backtesting
### Visual Customization:
- **Colors**: Bullish (green), Bearish (red), and level colors
- **Profile Position**: Left or Right side of chart
- **Profile Offset**: Distance from current price action
- **Labels**: Show/hide level labels and values
- **Smooth Profile Bars**: Enhanced visual appearance
### Alert Configuration:
- **POC Touch**: Alerts when price interacts with Point of Control
- **VA Entry/Exit**: Alerts for Value Area boundary interactions
- **Major Imbalance**: Alerts for significant volume imbalances
## VISUAL FEATURES
### Profile Display:
- **Horizontal Bars**: Volume distribution across price levels
- **Color Coding**: Delta-based coloring for directional bias
- **Smooth Rendering**: Optional smoothing for cleaner appearance
- **Transparency**: Configurable opacity for chart readability
### Level Lines:
- **POC**: Solid blue line with optional label
- **VAH/VAL**: Dashed colored lines with value displays
- **Extension**: Lines extend across relevant time periods
- **Value Area Fill**: Optional shaded region between VAH/VAL
### Information Table:
- **Current Values**: Real-time POC, VAH, VAL prices
- **VA Range**: Value Area width calculation
- **Positioning**: Multiple table positions available
- **Text Sizing**: Adjustable for different screen sizes
## IMPORTANT USAGE NOTES
**Realistic Expectations:**
- Volume profile analysis provides structural context, not trading signals
- Delta calculations are estimations based on price action, not actual order flow
- Past volume distribution does not guarantee future price behavior
- Combine with other analysis methods for comprehensive market view
**Best Practices:**
- Use appropriate profile types for your trading style:
- Day Trading: Session or Days Back (1-5 days)
- Swing Trading: Days Back (10-30 days) or N Bars Back
- Position Trading: Days Back (60-180 days)
- Consider market context (trending vs ranging conditions)
- Verify key levels with additional technical analysis
- Monitor profile development for changing market structure
**Performance Considerations:**
- Higher row counts increase calculation complexity
- Large lookback periods may affect chart performance
- Auto-adjust feature optimizes for most use cases
- Consider using session profiles for intraday efficiency
**Limitations:**
- Delta calculations are estimations, not actual transaction data
- Profile accuracy depends on available price/volume history
- Effectiveness varies across different instruments and market conditions
- Requires understanding of volume profile concepts for optimal use
**Data Requirements:**
- Requires volume data for accurate calculations
- Works best on liquid instruments with consistent volume
- May be less effective on very low volume or exotic instruments
This script serves as a comprehensive volume analysis tool for traders who need detailed market structure information with integrated directional bias analysis and real-time POC development tracking for informed trading decisions.
Dual Volume Profiles: Session + Rolling (Range Delineation)Dual Volume Profiles: Session + Rolling (Range Delineation)
INTRO
This is a probability-centric take on volume profile. I treat the volume histogram as an empirical PDF over price, updated in real time, which makes multi-modality (multiple acceptance basins) explicit rather than assumed away. The immediate benefit is operational: if we can read the shape of the distribution, we can infer likely reversion levels (POC), acceptance boundaries (VAH/VAL), and low-friction corridors (LVNs).
My working hypothesis is that what traders often label “fat tails” or “power-law behavior” at short horizons is frequently a tail-conditioned view of a higher-level Gaussian regime. In other words, child distributions (shorter periodicities) sit within parent distributions (longer periodicities); when price operates in the parent’s tail, the child regime looks heavy-tailed without being fundamentally non-Gaussian. This is consistent with a hierarchical/mixture view and with the spirit of the central limit theorem—Gaussian structure emerges at aggregate scales, while local scales can look non-Gaussian due to nesting and conditioning.
This indicator operationalizes that view by plotting two nested empirical PDFs: a rolling (local) profile and a session-anchored profile. Their confluence makes ranges explicit and turns “regime” into something you can see. For additional nesting, run multiple instances with different lookbacks. When using the default settings combined with a separate daily VP, you effectively get three nested distributions (local → session → daily) on the chart.
This indicator plots two nested distributions side-by-side:
Rolling (Local) Profile — short-window, prorated histogram that “breathes” with price and maps the immediate auction.
Session Anchored Profile — cumulative distribution since the current session start (Premkt → RTH → AH anchoring), revealing the parent regime.
Use their confluence to identify range floors/ceilings, mean-reversion magnets, and low-volume “air pockets” for fast traverses.
What it shows
POC (dashed): central tendency / “magnet” (highest-volume bin).
VAH & VAL (solid): acceptance boundaries enclosing an exact Value Area % around each profile’s POC.
Volume histograms:
Rolling can auto-color by buy/sell dominance over the lookback (green = buying ≥ selling, red = selling > buying).
Session uses a fixed style (blue by default).
Session anchoring (exchange timezone):
Premarket → anchors at 00:00 (midnight).
RTH → anchors at 09:30.
After-hours → anchors at 16:00.
Session display span:
Session Max Span (bars) = 0 → draw from session start → now (anchored).
> 0 → draw a rolling window N bars back → now, while still measuring all volume since session start.
Why it’s useful
Think in terms of nested probability distributions: the rolling node is your local Gaussian; the session node is its parent.
VA↔VA overlap ≈ strong range boundary.
POC↔POC alignment ≈ reliable mean-reversion target.
LVNs (gaps) ≈ low-friction corridors—expect quick moves to the next node.
Quick start
Add to chart (great on 5–10s, 15–60s, 1–5m).
Start with: bins = 240, vaPct = 0.68, barsBack = 60.
Watch for:
First test & rejection at overlapping VALs/VAHs → fade back toward POC.
Acceptance beyond VA (several closes + growing outer-bin mass) → traverse to the next node.
Inputs (detailed)
General
Lookback Bars (Rolling)
Count of most-recent bars for the rolling/local histogram. Larger = smoother node that shifts slower; smaller = more reactive, “breathing” profile.
• Typical: 40–80 on 5–10s charts; 60–120 on 1–5m.
• If you increase this but keep Number of Bins fixed, each bin aggregates more volume (coarser bins).
Number of Bins
Vertical resolution (price buckets) for both rolling and session histograms. Higher = finer detail and crisper LVNs, but more line objects (closer to platform limits).
• Typical: 120–240 on 5–10s; 80–160 on 1–5m.
• If you hit performance or object limits, reduce this first.
Value Area %
Exact central coverage for VAH/VAL around POC. Computed empirically from the histogram (no Gaussian assumption): the algorithm expands from POC outward until the chosen % is enclosed.
• Common: 0.68 (≈“1σ-like”), 0.70 for slightly wider core.
• Smaller = tighter VA (more breakout flags). Larger = wider VA (more reversion bias).
Max Local Profile Width (px)
Horizontal length (in pixels) of the rolling bars/lines and its VA/POC overlays. Visual only (does not affect calculations).
Session Settings
RTH Start/End (exchange tz)
Defines the current session anchor (Premkt=00:00, RTH=your start, AH=your end). The session histogram always measures from the most recent session start and resets at each boundary.
Session Max Span (bars, 0 = full session)
Display window for session drawings (POC/VA/Histogram).
• 0 → draw from session start → now (anchored).
• > 0 → draw N bars back → now (rolling look), while still measuring all volume since session start.
This keeps the “parent” distribution measurable while letting the display track current action.
Local (Rolling) — Visibility
Show Local Profile Bars / POC / VAH & VAL
Toggle each overlay independently. If you approach object limits, disable bars first (POC/VA lines are lighter).
Local (Rolling) — Colors & Widths
Color by Buy/Sell Dominance
Fast uptick/downtick proxy over the rolling window (close vs open):
• Buying ≥ Selling → Bullish Color (default lime).
• Selling > Buying → Bearish Color (default red).
This color drives local bars, local POC, and local VA lines.
• Disable to use fixed Bars Color / POC Color / VA Lines Color.
Bars Transparency (0–100) — alpha for the local histogram (higher = lighter).
Bars Line Width (thickness) — draw thin-line profiles or chunky blocks.
POC Line Width / VA Lines Width — overlay thickness. POC is dashed, VAH/VAL solid by design.
Session — Visibility
Show Session Profile Bars / POC / VAH & VAL
Independent toggles for the session layer.
Session — Colors & Widths
Bars/POC/VA Colors & Line Widths
Fixed palette by design (default blue). These do not change with buy/sell dominance.
• Use transparency and width to make the parent profile prominent or subtle.
• Prefer minimal? Hide session bars; keep only session VA/POC.
Reading the signals (detailed playbook)
Core definitions
POC — highest-volume bin (fair price “magnet”).
VAH/VAL — upper/lower bounds enclosing your Value Area % around POC.
Node — contiguous block of high-volume bins (acceptance).
LVN — low-volume gap between nodes (low friction path).
Rejection vs Acceptance (practical rule)
Rejection at VA edge: 0–1 closes beyond VA and no persistent growth in outer bins.
Acceptance beyond VA: ≥3 closes beyond VA and outer-bin mass grows (e.g., added volume beyond the VA edge ≥ 5–10% of node volume over the last N bars). Treat acceptance as regime change.
Confluence scores (make boundary/target quality objective)
VA overlap strength (range boundary):
C_VA = 1 − |VA_edge_local − VA_edge_session| / ATR(n)
Values near 1.0 = tight overlap (stronger boundary).
Use: if C_VA ≥ 0.6–0.8, treat as high-quality fade zone.
POC alignment (magnet quality):
C_POC = 1 − |POC_local − POC_session| / ATR(n)
Higher C_POC = greater chance a rotation completes to that fair price.
(You can estimate these by eye.)
Setups
1) Range Fade at VA Confluence (mean reversion)
Context: Local VAL/VAH near Session VAL/VAH (tight overlap), clear node, local color not screaming trend (or flips to your side).
Entry: First test & rejection at the overlapped band (wick through ok; prefer close back inside).
Stop: A tick/pip beyond the wider of the two VA edges or beyond the nearest LVN, a small buffer zone can be used to judge whether price is truly rejecting a VAL/VAH or simply probing.
Targets: T1 node mid; T2 POC (size up when C_POC is high).
Flip: If acceptance (rule above) prints, flip bias or stand down.
2) LVN Traverse (continuation)
Context: Price exits VA and enters an LVN with acceptance and growing outer-bin volume.
Entry: Aggressive—first close into LVN; Conservative—retest of the VA edge from the far side (“kiss goodbye”).
Stop: Back inside the prior VA.
Targets: Next node’s VA edge or POC (edge = faster exits; POC = fuller rotations).
Note: Flatter VA edge (shallower curvature) tends to breach more easily.
3) POC→POC Magnet Trade (rotation completion)
Context: Local POC ≈ Session POC (high C_POC).
Entry: Fade a VA touch or pullback inside node, aiming toward the shared POC.
Stop: Past the opposite VA edge or LVN beyond.
Target: The shared POC; optional runner to opposite VA if the node is broad and time-of-day is supportive.
4) Failed Break (Reversion Snap-back)
Context: Push beyond VA fails acceptance (re-enters VA, outer-bin growth stalls/shrinks).
Entry: On the re-entry close, back toward POC.
Stop/Target: Stop just beyond the failed VA; target POC, then opposite VA if momentum persists.
How to read color & shape
Local color = most recent sentiment:
Green = buying ≥ selling; Red = selling > buying (over the rolling window). Treat as context, not a standalone signal. A green local node under a blue session VAH can still be a fade if the parent says “over-valued.”
Shape tells friction:
Fat nodes → rotation-friendly (fade edges).
Sharp LVN gaps → traversal-friendly (momentum continuation).
Time-of-day intuition
Right after session anchor (e.g., RTH 09:30): Session profile is young and moves quickly—treat confluence cautiously.
Mid-session: Cleanest behavior for rotations.
Close / news: Expect more traverses and POC migrations; tighten risk or switch playbooks.
Risk & execution guidance
Use tight, mechanical stops at/just beyond VA or LVN. If you need wide stops to survive noise, your entry is late or the node is unstable.
On micro-timeframes, account for fees & slippage—aim for targets paying ≥2–3× average cost.
If acceptance prints, don’t fight it—flip, reduce size, or stand aside.
Suggested presets
Scalp (5–10s): bins 120–240, barsBack 40–80, vaPct 0.68–0.70, local bars thin (small bar width).
Intraday (1–5m): bins 80–160, barsBack 60–120, vaPct 0.68–0.75, session bars more visible for parent context.
Performance & limits
Reuses line objects to stay under TradingView’s max_lines_count.
Very large bins × multiple overlays can still hit limits—use visibility toggles (hide bars first).
Session drawings use time-based coordinates to avoid “bar index too far” errors.
Known nuances
Rolling buy/sell dominance uses a simple uptick/downtick proxy (close vs open). It’s fast and practical, but it’s not a full tape classifier.
VA boundaries are computed from the empirical histogram—no Gaussian assumption.
This script does not calculate the full daily volume profile. Several other tools already provide that, including TradingView’s built-in Volume Profile indicators. Instead, this indicator focuses on pairing a rolling, short-term volume distribution with a session-wide distribution to make ranges more explicit. It is designed to supplement your use of standard or periodic volume profiles, not replace them. Think of it as a magnifying lens that helps you see where local structure aligns with the broader session.
How to trade it (TL;DR)
Fade overlapping VA bands on first rejection → target POC.
Continue through LVN on acceptance beyond VA → target next node’s VA/POC.
Respect acceptance: ≥3 closes beyond VA + growing outer-bin volume = regime change.
FAQ
Q: Why 68% Value Area?
A: It mirrors the “~1σ” idea, but we compute it exactly from empirical volume, not by assuming a normal distribution.
Q: Why are my profiles thin lines?
A: Increase Bars Line Width for chunkier blocks; reduce for fine, thin-line profiles.
Q: Session bars don’t reach session start—why?
A: Set Session Max Span (bars) = 0 for full anchoring; any positive value draws a rolling window while still measuring from session start.
Changelog (v1.0)
Dual profiles: Rolling + Session with independent POC/VA lines.
Session anchoring (Premkt/RTH/AH) with optional rolling display span.
Dynamic coloring for the rolling profile (buying vs selling).
Fully modular toggles + per-feature colors/widths.
Thin-line rendering via bar line width.
