Multi Timeframe 8x MA Support Resistance Zones [SiDec]Multi-Timeframe Moving Average Support/Resistance Zones: The Ultimate Trading Power Tool
Indicator Overview
Get ready to elevate your trading game with the Multi-Timeframe Moving Average Support/Resistance Zones indicator. This advanced tool is engineered for traders who want to maximize efficiency without constantly switching between timeframes. By dynamically plotting support and resistance zones using the 21 SMA and 21 EMA, it reveals crucial price levels where trends may pause, reverse, or accelerate—giving you actionable insights in a fraction of the time.
Imagine seeing all the relevant timeframe zones on one chart, without ever needing to flip between timeframes—saving you time and allowing you to focus on what really matters.
Core Features
Dynamic Zones That Adjust in Real-Time:
The area between the 21 EMA and 21 SMA is shaded, forming a "zone" on your chart. This dynamic zone adjusts live as price moves, keeping you in sync with current market behavior across multiple timeframes.
By showing these zones across all your selected timeframes, you can view everything you need at a glance—no time wasted jumping between charts.
All Timeframes, One View:
With the ability to view multiple timeframe zones simultaneously (from 5-minute to Monthly), this tool helps you spot key levels quickly without switching between timeframes. You’ll see how price interacts with these levels across different timeframes without ever having to change charts.
Higher timeframes show broader, more significant zones—giving you the market's big picture—while intraday zones help you fine-tune your entries.
Customisable Like Never Before:
Toggle Timeframes: Only activate the timeframes you care about—no distractions, just pure focus.
Color Your World: Assign different colors to each timeframe for instant visual cues (e.g., blue for Daily, gold for Weekly). This makes it easy to identify key zones across all timeframes at a glance.
Why You Need This Tool
Instant Trend Confirmation: Track how price interacts with multiple timeframe zones to confirm bullish or bearish momentum in real-time.
Confluence = High Confidence: When zones from multiple timeframes overlap, you’ve found a high-probability reversal area. This is where the market is likely to turn, and where your edge lies.
Efficiency at Its Best: No more switching between timeframes—everything you need is in one place, giving you more time to trade and less time spent on analysis.
Configuration Instructions
1.) Timeframe Selection:
Choose which timeframes to display using the Timeframe Selection panel.
Intraday Focus: 5m, 15m, 1H.
Swing/Long-Term Focus: 4H, 12H, Daily, Weekly, Monthly.
Color Coding: Assign a distinct color to each timeframe for instant identification—like having a personal color-coded trading roadmap.
2.) MA Settings:
MA Types:
21 EMA: Perfect for capturing short-term trends and fast price action.
21 SMA: The smooth operator for spotting longer-term trends with more consistency.
Recommended Periods: The 21-period MA works wonders for trend detection across various timeframes. You can also integrate Fibonacci-based MAs (e.g., 55, 233) for enhanced confluence.
3.) Visual Tweaks:
Opacity: Adjust the zone transparency (80-90% opacity keeps it visible yet non-intrusive).
Zone Extensions: Customize how far zones extend backward and forward, capturing the full impact of support/resistance levels.
Labels: Show real-time MA values and timeframe-specific details for further clarity.
Trading Strategies That Pack a Punch
1.) Trend Confirmation:
Uptrend: Price staying above the 21 EMA and 21 SMA suggests a bullish trend.
Downtrend: Price holding below these MAs signals a bearish market.
2.) Zone-Based Reversals:
Entry: Look for price to retrace to a higher timeframe support zone (e.g., Daily 21 SMA) with confirmation from oversold/overbought indicators like RSI.
Exit: Time to sell when price breaks through a critical zone, like the 4H 21 EMA.
3.) Confluence Trading:
Combine the zones with other indicators to amplify your trade setups:
Fibonacci Levels: When a 61.8% retracement lines up with an MA zone, you’ve found a high-confluence area.
Volume Profile: High-volume nodes near key zones strengthen their significance.
Best Practices for Maximum Profit
Focus on Higher Timeframes: Weekly and Monthly zones carry more weight, making them more significant in decision-making.
Avoid Clutter: If you’re trading higher timeframes, disable intraday timeframes like 5m and 15m to keep your chart clear and focused.
Risk Management: Zones are probabilities, not guarantees. Always use stop-loss orders to protect your trades.
Example of a Winning Setup
Scenario:
Price retraces to the 1H 21 EMA zone.
The Daily 21 SMA zone is nearby—talk about confluence!
RSI shows oversold conditions, indicating a potential reversal.
Action:
Enter long on a bullish candlestick pattern (e.g., bullish engulfing).
Set your stop-loss just below the Daily 21 SMA zone.
Target the next higher timeframe resistance.
Performance Considerations
Repainting Risk: Zones might slightly adjust with the formation of new bars, but the changes will typically be minimal.
Enhance with Oscillators: Use momentum indicators like MACD or Stochastic and volume analysis for even more confirmation.
Conclusion
The Multi-Timeframe Moving Average Support/Resistance Zones indicator isn’t just a tool—it’s a game-changer. With the ability to view all relevant timeframe zones on one chart, you can make decisions faster, spot high-confluence areas, and trade with greater precision. The time you save by not switching between timeframes can make all the difference in your trading success.
Maximise your trading edge—harness the power of multi-timeframe analysis, gain more time to trade, and dominate the market like never before. 📊🔍
Pesquisar nos scripts por "volume profile"
SpaceTime Profile Regular SpaceManBTCSpaceTime Profile Regular SpaceManBTC
Is a profiling tool for a market session.
Using time and price it calculates the TPO mapping the POC on your chart as well as the general profile.
The tool is useful as it can give you a general idea of how a day traded/is trading based off of its shape.
As well as provides the current developing POC as a reference for potentially a dynamic level of interest.
Value area shading is also including in the release using 68% as my reference of personal choice to represent where
bulk of the market activity occured on a given time frame.
To generate the data the indicator aims to look at the price variations over time of the given session (you can choose this in settings), this will then stack
and overlay on the chart to generate the TPO calculations by mapping 1 to 1 with the price you see on the chart.
This will give you areas of importance such as the POC which can be retested when naked providing a point of interest.
Works similar to volume profile but with no volume calculations only with price and time in mind.
Very useful tool for trend / market analysis by providing this graphical representation of a trading session between buyers and sellers!
Adaptive Range Scalper - KetBotAIThe Adaptive Scalper is designed to dynamically adjust entry, take-profit (TP), and stop-loss (SL) levels based on the latest market price. It combines multiple tools to provide traders with actionable insights, suitable for a range of trading styles and timeframes.
How the Indicator Works
Dynamic Levels:
- Yellow Dotted Line: Represents the entry level, following the latest price dynamically.
- Green Line: The Take Profit (TP) level, calculated as a multiple of the current price, adapts in real-time.
- Red Line: The Stop Loss (SL) level, placed below the price and also dynamically adjusts.
Bollinger Bands:
Provides context for market volatility and potential overbought/oversold zones.
Narrowing bands signal consolidation, while expanding bands indicate increased volatility.
Buy and Sell Signals:
Buy Signal: Triggered when the price crosses above the lower Bollinger Band.
Sell Signal: Triggered when the price crosses below the upper Bollinger Band.
These signals help traders time entries and exits based on momentum shifts.
Risk/Reward Analysis:
Visual shading shows the favorable risk/reward zone between the stop loss and take profit levels.
Timeframe Suggestions
Short-Term Traders (Scalping):
Use on 5-minute to 15-minute charts.
Focus on high-volatility periods for quick entries and exits.
Intraday Traders:
Ideal for 30-minute to 1-hour charts.
Provides more stable signals and less noise.
Swing Traders:
Best suited for 4-hour or daily charts.
Captures broader trends with fewer signals, allowing for larger moves.
Tool Combination
Volume Profile:
Combine with volume-based tools to confirm key support/resistance zones around TP and SL levels.
Trend Indicators:
Use with Moving Averages (e.g., 20-period or 50-period) to identify the broader trend direction.
Example: Only take buy signals in an uptrend and sell signals in a downtrend.
Momentum Oscillators:
Pair with tools like RSI or MACD to avoid entering overbought/oversold conditions.
Support/Resistance Lines:
Manually mark significant levels to confirm alignment with the indicator’s TP and SL zones.
Useful Advice for Traders
Risk Management:
- Always assess the risk/reward ratio; aim for at least 1:2 (risking 1 to gain 2).
- Adjust the multiplier to match your trading style (e.g., higher multiplier for swing trades, lower for scalping).
Avoid Overtrading:
Use the indicator in conjunction with clear rules to avoid false signals during low-volatility periods.
Monitor market volatility:
Pay attention to narrowing Bollinger Bands, which signal consolidations. Avoid trading until a breakout occurs.
Test on Demo Accounts:
Practice using the indicator on a demo account to understand its behavior across different assets and timeframes.
Focus on High-Liquidity Markets:
For the best results, trade highly liquid instruments like major currency pairs, gold, or stock indices.
Summary
The Adaptive Range Indicator dynamically adjusts to market conditions, offering clear entry and exit levels. By combining it with Bollinger Bands and other tools, traders can better navigate market trends and avoid noise. It’s versatile across multiple timeframes and assets, making it a valuable addition to any trader’s toolkit.
Normal Distribution CurveThis Normal Distribution Curve is designed to overlay a simple normal distribution curve on top of any TradingView indicator. This curve represents a probability distribution for a given dataset and can be used to gain insights into the likelihood of various data levels occurring within a specified range, providing traders and investors with a clear visualization of the distribution of values within a specific dataset. With the only inputs being the variable source and plot colour, I think this is by far the simplest and most intuitive iteration of any statistical analysis based indicator I've seen here!
Traders can quickly assess how data clusters around the mean in a bell curve and easily see the percentile frequency of the data; or perhaps with both and upper and lower peaks identify likely periods of upcoming volatility or mean reversion. Facilitating the identification of outliers was my main purpose when creating this tool, I believed fixed values for upper/lower bounds within most indicators are too static and do not dynamically fit the vastly different movements of all assets and timeframes - and being able to easily understand the spread of information simplifies the process of identifying key regions to take action.
The curve's tails, representing the extreme percentiles, can help identify outliers and potential areas of price reversal or trend acceleration. For example using the RSI which typically has static levels of 70 and 30, which will be breached considerably more on a less liquid or more volatile asset and therefore reduce the actionable effectiveness of the indicator, likewise for an asset with little to no directional volatility failing to ever reach this overbought/oversold areas. It makes considerably more sense to look for the top/bottom 5% or 10% levels of outlying data which are automatically calculated with this indicator, and may be a noticeable distance from the 70 and 30 values, as regions to be observing for your investing.
This normal distribution curve employs percentile linear interpolation to calculate the distribution. This interpolation technique considers the nearest data points and calculates the price values between them. This process ensures a smooth curve that accurately represents the probability distribution, even for percentiles not directly present in the original dataset; and applicable to any asset regardless of timeframe. The lookback period is set to a value of 5000 which should ensure ample data is taken into calculation and consideration without surpassing any TradingView constraints and limitations, for datasets smaller than this the indicator will adjust the length to just include all data. The labels providing the percentile and average levels can also be removed in the style tab if preferred.
Additionally, as an unplanned benefit is its applicability to the underlying price data as well as any derived indicators. Turning it into something comparable to a volume profile indicator but based on the time an assets price was within a specific range as opposed to the volume. This can therefore be used as a tool for identifying potential support and resistance zones, as well as areas that mark market inefficiencies as price rapidly accelerated through. This may then give a cleaner outlook as it eliminates the potential drawbacks of volume based profiles that maybe don't collate all exchange data or are misrepresented due to large unforeseen increases/decreases underlying capital inflows/outflows.
Thanks to @ALifeToMake, @Bjorgum, vgladkov on stackoverflow (and possibly some chatGPT!) for all the assistance in bringing this indicator to life. I really hope every user can find some use from this and help bring a unique and data driven perspective to their decision making. And make sure to please share any original implementaions of this tool too! If you've managed to apply this to the average price change once you've entered your position to better manage your trade management, or maybe overlaying on an implied volatility indicator to identify potential options arbitrage opportunities; let me know! And of course if anyone has any issues, questions, queries or requests please feel free to reach out! Thanks and enjoy.
Pin Candle DetectionPin candles are a variation of hammer candles that are useful in technical analysis . In particular, when combined with volume profile studies, they can be a powerful set up for long entries or other decision making.
For example, when looking at volume profiles, a long entry would be a fair value area (i.e. 40%) below the close of a pin candle. When combined with a support level , the set up is stronger.
While most scripts look for hammer candles, pin candles are somewhat different in that the length of the wick is significant.
This script and its parameters was built for ES futures 15 min chart in mind.
This script is unique in that it allows for the below parameters to be adjusted to suit other instruments and timeframes:
1. Fib level: Candle must close within a certain retracement level). My preference is 0.55. Some traders like 0.5, while others prefer 0.33
2. Wick length: Pin candles differ from pure hammers in that the length of the wick must be significant. My preference is 7 points on ES (as in $ and not ticks)
Add this script to your alerts to no longer miss these set ups.
Bar Bodies [vnhilton]Note: Go to "Chart Settings" & hide "Body" & "Borders". Also uncheck "Labels on price scale" & "Values in status line" as they're not needed.
This script plots candlestick bodies with the same thickness as the wicks (similar to the bar chart, but without the horizontal lines to represent the open & close). To do this, it plots an invisible candlestick body with an invisible candlestick border from the high to the close/open for a green/red candle respectively, & uses the low wick as the candlestick body itself by plotting it from the low price to the open/close for a green/red candle respectively.
My personal use for this script is to use it in conjunction with TradingView's Periodic Volume Profile, in order to still see OHLC data without obstructing the candlesticks' volume profiles, as seen in the chart snapshot image above.
Futures Full FS ScreenerFull FS Screener
This indicator allows traders to have a view of multiple pairs and timeframes buy/sell signals and specific information of parameters, based on the Futures FS Indicator also developed by me.
Futures FS Indicator Fundamentals
1. Exponential Moving Average (EMAs): The base indicator is composed of moving averages of 5, 10, 11, 13, 36 and 55 exponential periods.
2. Squeeze Momentum: This indicator allows the signals to go with the trend and not against it.
3. VPVR (Volume Profile Visible Range): It allows to determine the Point of Control (POC) which is the node with the highest volume profile. This can be used as an important retest point or to calculate potential support and resistance.
4. ADX (Average Directional Index): The ADX helps the indicator to estimate the strength of the movement, always considering the DI+ and DI- to not go against the trend.
5. RSI (Relative Strength Index): The RSI helps measuring the speed and magnitude of the recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The indicator considers RSI 5, 13 and 50 as bottom and top, respectively.
6. MACD (Moving average convergence divergence): The MACD is a trend-following momentum indicator that shows the relationship between moving averages. The indicator uses moving averages of 5, 8 and 21).
7. The trend is determined according to these parameters and their different values, which might indicate that we are in a bullish or bearish trend. The trend has a max positive (bullish) value of 6 and a max negative (bearish) value of -6.
Full Screener Panel
This panel allows the trader to monitor multiple pairs at a single screen, giving an immediate vision of possible entries and exits (Long/Short/Strong Long/Strong Short Signals). Moreover, allows traders to have handy all information of the Future FS Indicator that might be analyzed further for each pair. It has the following characteristics:
• It can be placed anywhere on the screen through the main menu of the indicator.
• It can be combined with the same indicator multiple times, as per screener is limited to show 40 pairs, you can select the number of panels being added to adjust position one next to each other.
• It strengthens colors when a pair has changed its signals in order to the trader to know immediate changes and then do the follow up
• The screener shows the pairs, which can be changed within the menus.
• The screener shows the Long, Short, Strong Long and Strong Short Signals in its las column but previously, it shows the parameters that determined the possible position. Therefore, the EMAs, SQZ, ADX, VPVR, RSI and MACD calculated internally, are also summarized in the screener.
For analyzing a specific pair, refer to the TwV Futures Indicator – FS, which is other indicator that might be on my TradingView Profile and that was used as base for the screener.
Futures Simple FS ScreenerSimple FS Screener
This indicator allows traders to have a simple view of multiple pairs and timeframe buy/sell signals, based on the Futures FS Indicator also developed by me.
Futures FS Indicator Fundamentals
1. Exponential Moving Average (EMAs): The base indicator is composed of moving averages of 5, 10, 11, 13, 36 and 55 exponential periods.
2. Squeeze Momentum: This indicator allows the signals to go with the trend and not against it.
3. VPVR (Volume Profile Visible Range): It allows to determine the Point of Control (POC) which is the node with the highest volume profile. This can be used as an important retest point or to calculate potential support and resistance.
4. ADX (Average Directional Index): The ADX helps the indicator to estimate the strength of the movement, always considering the DI+ and DI- to not go against the trend.
5. RSI (Relative Strength Index): The RSI helps measuring the speed and magnitude of the recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The indicator considers RSI 5, 13 and 50 as bottom and top, respectively.
6. MACD (Moving average convergence divergence): The MACD is a trend-following momentum indicator that shows the relationship between moving averages. The indicator uses moving averages of 5, 8 and 21).
Simple Screener Panel
This panel allows the trader to monitor multiple pairs at a single screen, giving an immediate vision of possible entries and exits (Long/Short/Strong Long/Strong Short Signals). It has the following characteristics:
It can be placed anywhere on the screen through the main menu of the indicator.
It can be combined with the same indicator multiple times, as per screener is limited to show 40 pairs, you can select the number of panels being added to adjust position one next to each other.
It strengthens colors when a pair has changed its signals in order to the trader to know immediate changes and then do the follow up
The screener shows the pairs (which can be changed within the menus) and as part of being the simple screener it shows the Long, Short, Strong Long and Strong Short Signals. Therefore, the EMAs, SQZ, ADX, VPVR, RSI and MACD are calculated internally and its data will not be shown.
For viewing all parameters, refer to the Futures FS Full Screener or the TwV Futures Indicator – FS, which are other indicators that might be on my TradingView Profile
Liquidity Levels/Voids (VP) [LuxAlgo]The Liquidity Levels/Voids (VP) is a script designed to detect liquidity voids & levels by measuring traded volume at all price levels on the market between two swing points and highlighting the distribution of the liquidity voids & levels at specific price levels.
🔶 USAGE
Liquidity is a fundamental market force that shapes the trajectory of assets.
The creation of a liquidity level comes as a result of an initial imbalance of supply/demand, which forms what we know as a swing high or swing low. As more players take positions in the market, these are levels that market participants will use as a historical reference to place their stops. When the levels are then re-tested, a decision will be made. The binary outcome here can be a breakout of the level or a reversal back to the mean.
Liquidity voids are sudden price changes that occur in the market when the price jumps from one level to another with little trading activity (low volume), creating an imbalance in price. The price tends to fill or retest the liquidity voids area, and traders understand at which price level institutional players have been active.
Liquidity voids are a valuable concept in trading, as they provide insights about where many orders were injected, creating this inefficiency in the market. The price tends to restore the balance.
🔶 SETTINGS
The script takes into account user-defined parameters and detects the liquidity voids based on them, where detailed usage for each user-defined input parameter in indicator settings is provided with the related input's tooltip.
🔹 Liquidity Levels / Voids
Liquidity Levels/Voids: Color customization option for Unfilled Liquidity Levels/Voids.
Detection Length: Lookback period used for the calculation of Swing Levels.
Threshold %: Threshold used for the calculation of the Liquidity Levels & Voids.
Sensitivity: Adjusts the number of levels between two swing points, as a result, the height of a level is determined, and then based on the above-given threshold the level is checked if it matches the liquidity level/void conditions.
Filled Liquidity Levels/Voids: Toggles the visibility of the Filled Liquidity Levels/Voids and color customization option for Filled Liquidity Levels/Voids.
🔹 Other Features
Swing Highs/Lows: Toggles the visibility of the Swing Levels, where tooltips present statistical information, such as price, price change, and cumulative volume between the two swing levels detected based on the detection length specified above, Coloring options to customize swing low and swing high label colors, and Size option to adjust the size of the labels.
🔹 Display Options
Mode: Controls the lookback length of detection and visualization.
# Bars: Lookback length customization, in case Mode is set to Present.
🔶 RELATED SCRIPTS
Liquidity-Voids-FVG
Buyside-Sellside-Liquidity
Swing-Volume-Profiles
Multiple Naked LevelsPURPOSE OF THE INDICATOR
This indicator autogenerates and displays naked levels and gaps of multiple types collected into one simple and easy to use indicator.
VALUE PROPOSITION OF THE INDICATOR AND HOW IT IS ORIGINAL AND USEFUL
1) CONVENIENCE : The purpose of this indicator is to offer traders with one coherent and robust indicator providing useful, valuable, and often used levels - in one place.
2) CLUSTERS OF CONFLUENCES : With this indicator it is easy to identify levels and zones on the chart with multiple confluences increasing the likelihood of a potential reversal zone.
THE TYPES OF LEVELS AND GAPS INCLUDED IN THE INDICATOR
The types of levels include the following:
1) PIVOT levels (Daily/Weekly/Monthly) depicted in the chart as: dnPIV, wnPIV, mnPIV.
2) POC (Point of Control) levels (Daily/Weekly/Monthly) depicted in the chart as: dnPoC, wnPoC, mnPoC.
3) VAH/VAL STD 1 levels (Value Area High/Low with 1 std) (Daily/Weekly/Monthly) depicted in the chart as: dnVAH1/dnVAL1, wnVAH1/wnVAL1, mnVAH1/mnVAL1
4) VAH/VAL STD 2 levels (Value Area High/Low with 2 std) (Daily/Weekly/Monthly) depicted in the chart as: dnVAH2/dnVAL2, wnVAH2/wnVAL2, mnVAH1/mnVAL2
5) FAIR VALUE GAPS (Daily/Weekly/Monthly) depicted in the chart as: dnFVG, wnFVG, mnFVG.
6) CME GAPS (Daily) depicted in the chart as: dnCME.
7) EQUILIBRIUM levels (Daily/Weekly/Monthly) depicted in the chart as dnEQ, wnEQ, mnEQ.
HOW-TO ACTIVATE LEVEL TYPES AND TIMEFRAMES AND HOW-TO USE THE INDICATOR
You can simply choose which of the levels to be activated and displayed by clicking on the desired radio button in the settings menu.
You can locate the settings menu by clicking into the Object Tree window, left-click on the Multiple Naked Levels and select Settings.
You will then get a menu of different level types and timeframes. Click the checkboxes for the level types and timeframes that you want to display on the chart.
You can then go into the chart and check out which naked levels that have appeared. You can then use those levels as part of your technical analysis.
The levels displayed on the chart can serve as additional confluences or as part of your overall technical analysis and indicators.
In order to back-test the impact of the different naked levels you can also enable tapped levels to be depicted on the chart. Do this by toggling the 'Show tapped levels' checkbox.
Keep in mind however that Trading View can not shom more than 500 lines and text boxes so the indocator will not be able to give you the complete history back to the start for long duration assets.
In order to clean up the charts a little bit there are two additional settings that can be used in the Settings menu:
- Selecting the price range (%) from the current price to be included in the chart. The default is 25%. That means that all levels below or above 20% will not be displayed. You can set this level yourself from 0 up to 100%.
- Selecting the minimum gap size to include on the chart. The default is 1%. That means that all gaps/ranges below 1% in price difference will not be displayed on the chart. You can set the minimum gap size yourself.
BASIC DESCRIPTION OF THE INNER WORKINGS OF THE INDICTATOR
The way the indicator works is that it calculates and identifies all levels from the list of levels type and timeframes above. The indicator then adds this level to a list of untapped levels.
Then for each bar after, it checks if the level has been tapped. If the level has been tapped or a gap/range completely filled, this level is removed from the list so that the levels displayed in the end are only naked/untapped levels.
Below is a descrition of each of the level types and how it is caluclated (algorithm):
PIVOT
Daily, Weekly and Monthly levels in trading refer to significant price points that traders monitor within the context of a single trading day. These levels can provide insights into market behavior and help traders make informed decisions regarding entry and exit points.
Traders often use D/W/M levels to set entry and exit points for trades. For example, entering long positions near support (daily close) or selling near resistance (daily close).
Daily levels are used to set stop-loss orders. Placing stops just below the daily close for long positions or above the daily close for short positions can help manage risk.
The relationship between price movement and daily levels provides insights into market sentiment. For instance, if the price fails to break above the daily high, it may signify bearish sentiment, while a strong breakout can indicate bullish sentiment.
The way these levels are calculated in this indicator is based on finding pivots in the chart on D/W/M timeframe. The level is then set to previous D/W/M close = current D/W/M open.
In addition, when price is going up previous D/W/M open must be smaller than previous D/W/M close and current D/W/M close must be smaller than the current D/W/M open. When price is going down the opposite.
POINT OF CONTROL
The Point of Control (POC) is a key concept in volume profile analysis, which is commonly used in trading.
It represents the price level at which the highest volume of trading occurred during a specific period.
The POC is derived from the volume traded at various price levels over a defined time frame. In this indicator the timeframes are Daily, Weekly, and Montly.
It identifies the price level where the most trades took place, indicating strong interest and activity from traders at that price.
The POC often acts as a significant support or resistance level. If the price approaches the POC from above, it may act as a support level, while if approached from below, it can serve as a resistance level. Traders monitor the POC to gauge potential reversals or breakouts.
The way the POC is calculated in this indicator is by an approximation by analysing intrabars for the respective timeperiod (D/W/M), assigning the volume for each intrabar into the price-bins that the intrabar covers and finally identifying the bin with the highest aggregated volume.
The POC is the price in the middle of this bin.
The indicator uses a sample space for intrabars on the Daily timeframe of 15 minutes, 35 minutes for the Weekly timeframe, and 140 minutes for the Monthly timeframe.
The indicator has predefined the size of the bins to 0.2% of the price at the range low. That implies that the precision of the calulated POC og VAH/VAL is within 0.2%.
This reduction of precision is a tradeoff for performance and speed of the indicator.
This also implies that the bigger the difference from range high prices to range low prices the more bins the algorithm will iterate over. This is typically the case when calculating the monthly volume profile levels and especially high volatility assets such as alt coins.
Sometimes the number of iterations becomes too big for Trading View to handle. In these cases the bin size will be increased even more to reduce the number of iterations.
In such cases the bin size might increase by a factor of 2-3 decreasing the accuracy of the Volume Profile levels.
Anyway, since these Volume Profile levels are approximations and since precision is traded for performance the user should consider the Volume profile levels(POC, VAH, VAL) as zones rather than pin point accurate levels.
VALUE AREA HIGH/LOW STD1/STD2
The Value Area High (VAH) and Value Area Low (VAL) are important concepts in volume profile analysis, helping traders understand price levels where the majority of trading activity occurs for a given period.
The Value Area High/Low is the upper/lower boundary of the value area, representing the highest price level at which a certain percentage of the total trading volume occurred within a specified period.
The VAH/VAL indicates the price point above/below which the majority of trading activity is considered less valuable. It can serve as a potential resistance/support level, as prices above/below this level may experience selling/buying pressure from traders who view the price as overvalued/undervalued
In this indicator the timeframes are Daily, Weekly, and Monthly. This indicator provides two boundaries that can be selected in the menu.
The first boundary is 70% of the total volume (=1 standard deviation from mean). The second boundary is 95% of the total volume (=2 standard deviation from mean).
The way VAH/VAL is calculated is based on the same algorithm as for the POC.
However instead of identifying the bin with the highest volume, we start from range low and sum up the volume for each bin until the aggregated volume = 30%/70% for VAL1/VAH1 and aggregated volume = 5%/95% for VAL2/VAH2.
Then we simply set the VAL/VAH equal to the low of the respective bin.
FAIR VALUE GAPS
Fair Value Gaps (FVG) is a concept primarily used in technical analysis and price action trading, particularly within the context of futures and forex markets. They refer to areas on a price chart where there is a noticeable lack of trading activity, often highlighted by a significant price movement away from a previous level without trading occurring in between.
FVGs represent price levels where the market has moved significantly without any meaningful trading occurring. This can be seen as a "gap" on the price chart, where the price jumps from one level to another, often due to a rapid market reaction to news, events, or other factors.
These gaps typically appear when prices rise or fall quickly, creating a space on the chart where no transactions have taken place. For example, if a stock opens sharply higher and there are no trades at the prices in between the two levels, it creates a gap. The areas within these gaps can be areas of liquidity that the market may return to “fill” later on.
FVGs highlight inefficiencies in pricing and can indicate areas where the market may correct itself. When the market moves rapidly, it may leave behind price levels that traders eventually revisit to establish fair value.
Traders often watch for these gaps as potential reversal or continuation points. Many traders believe that price will eventually “fill” the gap, meaning it will return to those price levels, providing potential entry or exit points.
This indicator calculate FVGs on three different timeframes, Daily, Weekly and Montly.
In this indicator the FVGs are identified by looking for a three-candle pattern on a chart, signalling a discrete imbalance in order volume that prompts a quick price adjustment. These gaps reflect moments where the market sentiment strongly leans towards buying or selling yet lacks the opposite orders to maintain price stability.
The indicator sets the gap to the difference from the high of the first bar to the low of the third bar when price is moving up or from the low of the first bar to the high of the third bar when price is moving down.
CME GAPS (BTC only)
CME gaps refer to price discrepancies that can occur in charts for futures contracts traded on the Chicago Mercantile Exchange (CME). These gaps typically arise from the fact that many futures markets, including those on the CME, operate nearly 24 hours a day but may have significant price movements during periods when the market is closed.
CME gaps occur when there is a difference between the closing price of a futures contract on one trading day and the opening price on the following trading day. This difference can create a "gap" on the price chart.
Opening Gaps: These usually happen when the market opens significantly higher or lower than the previous day's close, often influenced by news, economic data releases, or other market events occurring during non-trading hours.
Gaps can result from reactions to major announcements or developments, such as earnings reports, geopolitical events, or changes in economic indicators, leading to rapid price movements.
The importance of CME Gaps in Trading is the potential for Filling Gaps: Many traders believe that prices often "fill" gaps, meaning that prices may return to the gap area to establish fair value.
This can create potential trading opportunities based on the expectation of gap filling. Gaps can act as significant support or resistance levels. Traders monitor these levels to identify potential reversal points in price action.
The way the gap is identified in this indicator is by checking if current open is higher than previous bar close when price is moving up or if current open is lower than previous day close when price is moving down.
EQUILIBRIUM
Equilibrium in finance and trading refers to a state where supply and demand in a market balance each other, resulting in stable prices. It is a key concept in various economic and trading contexts. Here’s a concise description:
Market Equilibrium occurs when the quantity of a good or service supplied equals the quantity demanded at a specific price level. At this point, there is no inherent pressure for the price to change, as buyers and sellers are in agreement.
Equilibrium Price is the price at which the market is in equilibrium. It reflects the point where the supply curve intersects the demand curve on a graph. At the equilibrium price, the market clears, meaning there are no surplus goods or shortages.
In this indicator the equilibrium level is calculated simply by finding the midpoint of the Daily, Weekly, and Montly candles respectively.
NOTES
1) Performance. The algorithms are quite resource intensive and the time it takes the indicator to calculate all the levels could be 5 seconds or more, depending on the number of bars in the chart and especially if Montly Volume Profile levels are selected (POC, VAH or VAL).
2) Levels displayed vs the selected chart timeframe. On a timeframe smaller than the daily TF - both Daily, Weekly, and Monthly levels will be displayed. On a timeframe bigger than the daily TF but smaller than the weekly TF - the Weekly and Monthly levels will be display but not the Daily levels. On a timeframe bigger than the weekly TF but smaller than the monthly TF - only the Monthly levels will be displayed. Not Daily and Weekly.
CREDITS
The core algorithm for calculating the POC levels is based on the indicator "Naked Intrabar POC" developed by rumpypumpydumpy (https:www.tradingview.com/u/rumpypumpydumpy/).
The "Naked intrabar POC" indicator calculates the POC on the current chart timeframe.
This indicator (Multiple Naked Levels) adds two new features:
1) It calculates the POC on three specific timeframes, the Daily, Weekly, and Monthly timeframes - not only the current chart timeframe.
2) It adds functionaly by calculating the VAL and VAH of the volume profile on the Daily, Weekly, Monthly timeframes .
Historic VPoCs and pseudo VPVRThis study tries to recreate session based historic VPoCs
and VPVR Volume Profile
as they are used by
TradingLatino TradingView user.
It's aimed at BTCUSDT pair and 4h timeframe.
HOW IT WORKS
HOW IT WORKS - VPVR Profile Block
It gathers volume from the last chosen Bars
in order to draw the vpvr profile block
Volume that intersects with current level range
being studied is added to its value.
Additionally the current level price is modified
so that it matches the level price where most
of the volume has concentrated
So you get a pretty accurate price for drawn volume
while at the same time the levels are not stuck
to arbitrary level prices.
HOW IT WORKS - VPoC
It calculates a Volume Profile for the
given historic session but then
it only outputs that Volume Profile VPoC.
SETTINGS
Show VPVR Volume Profile {True}.
Show Historic VPoC lines {True}.
Show Historic VPoC labels {True}.
Extend Historic VPoC lines {True}: If this option is turned off the VPoC lines are only shown during the session duration.
Show tick difference from current price {False}: BETA. Feedback is needed because I'm not sure how it should work this setting.
VPVR Number of bars {100}: Define the Visible Range in number of bars so that its Volume Profile can be shown.
VPVR Profile width (in bars) {15}: VPVR Profile can be make larger or smaller in width thanks to this option.
VPVR Profile offset (in bars) {15}: VPVR Profile can be shown more to the left or to the right if the defaults do not suit you.
Historic Session Volume Profile timeframe {1D}: Historic VPoC use 1 day as their timeframe reference by default.
Number of decimal digits {2}: How many decimal digits are shown in label prices.
Number of previous sessions to print VPoC {5}: How many previous sessions VPoCs are to be printed. The maximum for this setting is 20.
Historic VPoC lines width (in pixels) {2}.
Historic VPoC labels size {small}.
History VPoC line offset (in bars) {5}: How far to the right VPoCs lines are to be extended. Note: This setting does not apply when 'Extend Historic VPoC lines' is set to 'False'.
WARNING
Please be aware that VPoC from the first previous session might not be accurate due to Pine Script limitations.
VPVR USAGE
This is not a VPVR like the official TradingView indicator.
This is a pseudo VPVR and that means it needs some manual input from you.
But, don't worry it's quite easy to do and if you always use the same number
of bars to calculate your VPVR then you might even just set it up once.
In order to show the VPVR (or Volume Profile on the Visible Range):
Rescale your chart so that you see all the bars for your Visible Range.
Click on the ruler tool.
Click on the last bar (far to the right) shown on the screen
Drag the ruler to first bar (far to the left) shown on the screen
Check what the ruler says
E.g. it says: 101 bars
Open this study settings
Modify: 'VPVR Number of bars ' setting
So that its value matches your measured number of bars (101)
Press OK to confirm and wait for the indicator to refresh.
STRATEGY USAGE
If your strategy uses VPoC
to define your resistances
or supports
you can check the VPoCs shown here.
FEEDBACK
I have only used this identifier in BTCUSDT 4h timeframe.
I'm interested to know what needs to be tweaked
in other securities and timeframes.
PINE STUDY TRICK
This study let's you choose the number of decimals the label will use.
CREDITS
I have reused and adapted some code from
'Poor man's volume profile' study
which it's from TradingView IldarAkhmetgaleev user.
I also wanted to thank him for helping me understanding his study.
I have reused some code from
'MTF Selection Framework - PineCoders FAQ' study
which it's from TradingView PineCoders user.
Delta Volume Candles [LucF]█ OVERVIEW
This indicator plots on-chart volume delta information using candles that can replace your normal candles, tops and bottoms appended to normal candles, optional MAs of those tops and bottoms levels, a divergence channel and a chart background. The indicator calculates volume delta using intrabar analysis, meaning that it uses the lower timeframe bars constituting each chart bar.
█ CONCEPTS
Volume Delta
The volume delta concept divides a bar's volume in "up" and "down" volumes. The delta is calculated by subtracting down volume from up volume. Many calculation techniques exist to isolate up and down volume within a bar. The simplest use the polarity of interbar price changes to assign their volume to up or down slots, e.g., On Balance Volume or the Klinger Oscillator . Others such as Chaikin Money Flow use assumptions based on a bar's OHLC values. The most precise calculation method uses tick data and assigns the volume of each tick to the up or down slot depending on whether the transaction occurs at the bid or ask price. While this technique is ideal, it requires huge amounts of data on historical bars, which considerably limits the historical depth of charts and the number of symbols for which tick data is available. Furthermore, historical tick data is not yet available on TradingView.
This indicator uses intrabar analysis to achieve a compromise between the simplest and most precise methods of calculating volume delta. It is currently the most precise method usable on TradingView charts. TradingView's Volume Profile built-in indicators use it, as do the CVD - Cumulative Volume Delta Candles and CVD - Cumulative Volume Delta (Chart) indicators published from the TradingView account . My Delta Volume Channels and Volume Delta Columns Pro indicators also use intrabar analysis. Other volume delta indicators such as my Realtime 5D Profile use realtime chart updates to calculate volume delta without intrabar analysis, but that type of indicator only works in real time; they cannot calculate on historical bars.
This is the logic I use to determine the polarity of intrabars, which determines the up or down slot where its volume is added:
• If the intrabar's open and close values are different, their relative position is used.
• If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.
• As a last resort, when there is no movement during an intrabar, and it closes at the same price as the previous intrabar, the last known polarity is used.
Once all intrabars making up a chart bar have been analyzed and the up or down property of each intrabar's volume determined, the up volumes are added, and the down volumes subtracted. The resulting value is volume delta for that chart bar, which can be used as an estimate of the buying/selling pressure on an instrument. Not all markets have volume information. Without it, this indicator is useless.
Intrabar analysis
Intrabars are chart bars at a lower timeframe than the chart's. The timeframe used to access intrabars determines the number of intrabars accessible for each chart bar. On a 1H chart, each chart bar of an active market will, for example, usually contain 60 bars at the lower timeframe of 1min, provided there was market activity during each minute of the hour.
This indicator automatically calculates an appropriate lower timeframe using the chart's timeframe and the settings you use in the script's "Intrabars" section of the inputs. As it can access lower timeframes as small as seconds when available, the indicator can be used on charts at relatively small timeframes such as 1min, provided the market is active enough to produce bars at second timeframes.
The quantity of intrabars analyzed in each chart bar determines:
• The precision of calculations (more intrabars yield more precise results).
• The chart coverage of calculations (there is a 100K limit to the quantity of intrabars that can be analyzed on any chart,
so the more intrabars you analyze per chart bar, the less chart bars can be calculated by the indicator).
The information box displayed at the bottom right of the chart shows the lower timeframe used for intrabars, as well as the average number of intrabars detected for chart bars and statistics on chart coverage.
Balances
This indicator calculates five balances from volume delta values. The balances are oscillators with a zero centerline; positive values are bullish, and negative values are bearish. It is important to understand the balances as they can be used to:
• Color candle bodies.
• Calculate body and top and bottom divergences.
• Color an EMA channel.
• Color the chart's background.
• Configure markers and alerts.
The five balances are:
1 — Bar Balance : This is the only balance using instant values; it is simply the subtraction of the down volume from the up volume on the bar, so the instant volume delta for that bar.
2 — Average Balance : Calculates a distinct EMA for both the up and down volumes, and subtracts the down EMA from the up EMA.
The result is akin to MACD's histogram because it is the subtraction of two moving averages.
3 — Momentum Balance : Starts by calculating, separately for both up and down volumes, the difference between the same EMAs used in "Average Balance" and
an SMA of twice the period used for the "Average Balance" EMAs. The difference for the up side is subtracted from the difference for the down side,
and an RSI of that value is calculated and brought over the −50/+50 scale.
4 — Relative Balance : The reference values used in the calculation are the up and down EMAs used in the "Average Balance".
From those, we calculate two intermediate values using how much the instant up and down volumes on the bar exceed their respective EMA — but with a twist.
If the bar's up volume does not exceed the EMA of up volume, a zero value is used. The same goes for the down volume with the EMA of down volume.
Once we have our two intermediate values for the up and down volumes exceeding their respective MA, we subtract them. The final value is an ALMA of that subtraction.
The rationale behind using zero values when the bar's up/down volume does not exceed its EMA is to only take into account the more significant volume.
If both instant volume values exceed their MA, then the difference between the two is the signal's value.
The signal is called "relative" because the intermediate values are the difference between the instant up/down volumes and their respective MA.
This balance flatlines when the bar's up/down volumes do not exceed their EMAs, which makes it useful to spot areas where trader interest dwindles, such as consolidations.
The smaller the period of the final value's ALMA, the more easily it will flatline. These flat zones should be considered no-trade zones.
5 — Percent Balance : This balance is the ALMA of the ratio of the "Bar Balance" over the total volume for that bar.
From the balances and marker conditions, two more values are calculated:
1 — Marker Bias : This sums the up/down (+1/‒1) occurrences of the markers 1 to 4 over a period you define, so it ranges from −4 to +4, times the period.
Its calculation will depend on the modes used to calculate markers 3 and 4.
2 — Combined Balances : This is the sum of the bull/bear (+1/−1) states of each of the five balances, so it ranges from −5 to +5.
The periods for all of these balances can be configured in the "Periods" section at the bottom of the script's inputs. As you cannot see the balances on the chart, you can use my Volume Delta Columns Pro indicator in a pane; it can plot the same balances, so you will be able to analyze them.
Divergences
In the context of this indicator, a divergence is any bar where the bear/bull state of a balance (above/below its zero centerline) diverges from the polarity of a chart bar. No directional bias is assigned to divergences when they occur. Candle bodies and tops/bottoms can each be colored differently on divergences detected from distinct balances.
Divergence Channel
The divergence channel is the space between two levels (by default, the bar's open and close ) saved when divergences occur. When price (by default the close ) has breached a channel and a new divergence occurs, a new channel is created. Until that new channel is breached, bars where additional divergences occur will expand the channel's levels if the bar's price points are outside the channel.
Prices breaches of the divergence channel will change its state. Divergence channels can be in one of three different states:
• Bull (green): Price has breached the channel to the upside.
• Bear (red): Price has breached the channel to the downside.
• Neutral (gray): The channel has not yet been breached.
█ HOW TO USE THE INDICATOR
I do not make videos to explain how to use my indicators. I do, however, try hard to include in their description everything one needs to understand what they do. From there, it's up to you to explore and figure out if they can be useful in your trading practice. Communicating in videos what this description and the script's tooltips contain would make for very long videos that would likely exceed the attention span of most people who find this description too long. There is no quick way to understand an indicator such as this one because it uses many different concepts and has quite a bit of settings one can use to modify its visuals and behavior — thus how one uses it. I will happily answer questions on the inner workings of the indicator, but I do not answer questions like "How do I trade using this indicator?" A useful answer to that question would require an in-depth analysis of who you are, your trading methodology and objectives, which I do not have time for. I do not teach trading.
Start by loading the indicator on an active chart containing volume information. See here if you need help.
The default configuration displays:
• Normal candles where the bodies are only colored if the bar's volume has increased since the last bar.
If you want to use this indicator's candles, you may want to disable your chart's candles by clicking the eye icon to the right of the symbol's name in the top left of the chart.
• A top or bottom appended to the normal candles. It represents the difference between up and down volume for that bar
and is positioned at the top or bottom, depending on its polarity. If up volume is greater than down volume, a top is displayed. If down volume is greater, a bottom is plotted.
The size of tops and bottoms is determined by calculating a factor which is the proportion of volume delta over the bar's total volume.
That factor is then used to calculate the top or bottom size relative to a baseline of the average candle body size of the last 100 bars.
• An information box in the bottom right displaying intrabar and chart coverage information.
• A light red background when the intrabar volume differs from the chart's volume by more than 1%.
The script's inputs contain tooltips explaining most of the fields. I will not repeat them here. Following is a brief description of each section of the indicator's inputs which will give you an idea of what the indicator can do:
Normal Candles is where you configure the replacement candles plotted by the script. You can choose from different coloring schemes for their bodies and specify a unique color for bodies where a divergence calculated using the method you choose occurs.
Volume Tops & Botttoms is where you configure the display of tops and bottoms, and their EMAs. The EMAs are calculated from the high point of tops and the low point of bottoms. They can act as a channel to evaluate price, and you can choose to color the channel using a gradient reflecting the advances/declines in the balance of your choice.
Divergence Channel is where you set up the appearance and behavior of the divergence channel. These areas represent levels where price and volume delta information do not converge. They can be interpreted as regions with no clear direction from where one will look for breaches. You can configure the channel to take into account one or both types of divergences you have configured for candle bodies and tops/bottoms.
Background allows you to configure a gradient background color that reflects the advances/declines in the balance of your choice. You can use this to provide context to the volume delta values from bars. You can also control the background color displayed on volume discrepancies between the intrabar and the chart's timeframe.
Intrabars is where you choose the calculation mode determining the lower timeframe used to access intrabars. The indicator uses the chart's timeframe and the type of market you are on to calculate the lower timeframe. Your setting there should reflect which compromise you prefer between the precision of calculations and chart coverage. This is also where you control the display of the information box in the lower right corner of the chart.
Markers allows you to control the plotting of chart markers on different conditions. Their configuration determines when alerts generated from the indicator will fire. Note that in order to generate alerts from this script, they must be created from your chart. See this Help Center page to learn how. Only the last 500 markers will be visible on the chart, but this will not affect the generation of alerts.
Periods is where you configure the periods for the balances and the EMAs used in the indicator.
The raw values calculated by this script can be inspected using the Data Window.
█ INTERPRETATION
Rightly or wrongly, volume delta is considered by many a useful complement to the interpretation of price action. I use it extensively in an attempt to find convergence between my read of volume delta and price movement — not so much as a predictor of future price movement. No system or person can predict the future. Accordingly, I consider people who speak or act as if they know the future with certainty to be dangerous to themselves and others; they are charlatans, imprudent or blissfully ignorant.
I try to avoid elaborate volume delta interpretation schemes involving too many variables and prefer to keep things simple:
• Trends that have more chances of continuing should be accompanied by VD of the same polarity.
In trends, I am looking for "slow and steady". I work from the assumption that traders and systems often overreact, which translates into unproductive volatility.
Wild trends are more susceptible to overreactions.
• I prefer steady VD values over wildly increasing ones, as large VD increases often come with increased price volatility, which can backfire.
Large VD values caused by stopping volume will also often occur on trend reversals with abnormally high candles.
• Prices escaping divergence channels may be leading a trend in that direction, although there is no telling how long that trend will last; could be just a few bars or hundreds.
When price is in a channel, shifts in VD balances can sometimes give us an idea of the direction where price has the most chance of breaking.
• Dwindling VD will often indicate trend exhaustion and predate reversals by many bars, but the problem is that mere pauses in a trend will often produce the same behavior in VD.
I think it is too perilous to infer rigidly from VD decreases.
Divergence Channel
Here I have configured the divergence channels to be visible. First, I set the bodies to display divergences on the default Bar Balance. They are indicated by yellow bodies. Then I activated the divergence channels by choosing to draw levels on body divergences and checked the "Fill" checkbox to fill the channel with the same color as the levels. The divergence channel is best understood as a direction-less area from where a breach can be acted on if other variables converge with the breach's direction:
Tops and Bottoms EMAs
I find these EMAs rather interesting. They have no equivalent elsewhere, as they are calculated from the top and bottom values this indicator plots. The only similarity they have with volume-weighted MAs, including VWAP, is that they use price and volume. This indicator's Tops and Bottoms EMAs, however, use the price and volume delta. While the channel differs from other channels in how it is calculated, it can be used like others, as a baseline from which to evaluate price movement or, alternatively, as stop levels. Remember that you can change the period used for the EMAs in the "Periods" section of the inputs.
This chart shows the EMAs in action, filled with a gradient representing the advances/decline from the Momentum balance. Notice the anomaly in the chart's latest bars where the Momentum balance gradient has been indicating a bullish bias for some time, during which price was mostly below the EMAs. Price has just broken above the channel on positive VD. My interpretation of this situation would be that it is a risky opportunity for a long trade in the larger context where the market has been in a downtrend since the 5th. Intrepid traders choosing to enter here could do so with a "make or break" tight stop that will minimize their losses should the market continue its downtrend while hopefully preserving the potential upside of price continuing on the longer-term uptrend prevalent since the 28th:
█ NOTES
Volume
If you use indicators such as this one which depends on volume information, it is important to realize that the volume data they consume comes from data feeds, and that all data feeds are NOT created equally. Those who create the data feeds we use must make decisions concerning the nature of the transactions they tally and the way they are tallied in each feed, and these decisions affect the nature of our volume data. My Volume X-ray publication discusses some of the reasons why volume information from different timeframes, brokers/exchanges or sectors may vary considerably. I encourage you to read it. This indicator's display of a warning through a background color on volume discrepancies between the timeframe used to access intrabars and the chart's timeframe is an attempt to help you realize these variations in feeds. Don't take things for granted, and understand that the quality of a given feed's volume information affects the quality of the results this indicator calculates.
Markets as ecosystems
I believe it is perilous to think that behavioral patterns you discover in one market through the lens of this or any other indicator will necessarily port to other markets. While this may sometimes be the case, it will often not. Why is that? Because each market is its own ecosystem. As cities do, all markets share some common characteristics, but they also all have their idiosyncrasies. A proportion of a city's inhabitants is always composed of outsiders who come and go, but a core population of regulars and systems is usually the force that actually defines most of the city's observable characteristics. I believe markets work somewhat the same way; they may look the same, but if you live there for a while and pay attention, you will notice the idiosyncrasies. Some things that work in some markets will, accordingly, not work in others. Please keep that in mind when you draw conclusions.
On Up/Down or Buy/Sell Volume
Buying or selling volume are misnomers, as every unit of volume transacted is both bought and sold by two different traders. While this does not keep me from using the terms, there is no such thing as “buy only” or “sell only” volume. Trader lingo is riddled with peculiarities. Without access to order book information, traders work with the assumption that when price moves up during a bar, there was more buying pressure than selling pressure, just as when buy market orders take out limit ask orders in the order book at successively higher levels. The built-in volume indicator available on TradingView uses this logic to color the volume columns green or red. While this script’s calculations are more precise because it analyses intrabars to calculate its information, it uses pretty much the same imperfect logic. Until Pine scripts can have access to how much volume was transacted at the bid/ask prices, our volume delta calculations will remain a mere proxy.
Repainting
• The values calculated on the realtime bar will update as new information comes from the feed.
• Historical values may recalculate if the historical feed is updated or when calculations start from a new point in history.
• Markers and alerts will not repaint as they only occur on a bar's close. Keep this in mind when viewing markers on historical bars,
where one could understandably and incorrectly assume they appear at the bar's open.
To learn more about repainting, see the Pine Script™ User Manual's page on the subject .
Superfluity
In "The Bed of Procrustes", Nassim Nicholas Taleb writes: To bankrupt a fool, give him information . This indicator can display a lot of information. The inevitable adaptation period you will need to figure out how to use it should help you eliminate all the visuals you do not need. The more you eliminate, the easier it will be to focus on those that are the most useful to your trading practice. Don't be a fool.
█ THANKS
Thanks to alexgrover for his Dekidaka-Ashi indicator. His volume plots on candles were the inspiration for my top/bottom plots.
Kudos to PineCoders for their libraries. I use two of them in this script: Time and lower_tf .
The first versions of this script used functionality that I would not have known about were it not for these two guys:
— A guy called Kuan who commented on a Backtest Rookies presentation of their Volume Profile indicator.
— theheirophant , my partner in the exploration of the sometimes weird abysses of request.security() ’s behavior at lower timeframes.
Lockin Strength Indicator (LSI)How It Works:
RSI Calculation: The standard RSI is calculated using a 14-period by default.
Volume Weighting: If enabled, the LSI modifies the RSI by weighting it based on the volume relative to its moving average. This emphasizes periods of high or low volume, which can be particularly useful for Solana-based assets that might have unique volume profiles.
Plotting: The LSI is plotted with standard overbought and oversold levels, and background highlighting makes these areas visually distinct.
Customization:
RSI Length: You can adjust the length of the RSI period.
Overbought/Oversold Levels: You can modify the levels for overbought and oversold signals.
Volume Weighting: You can toggle volume weighting on or off.
This indicator is designed to give you a more nuanced view of Solana cryptocurrencies by combining RSI with volume dynamics.
Volume Forks [Trendoscope]🎲 Volume Forks - Advanced Price Analysis with Recursive Auto-Pitchfork and Angled Volume Profile
The Volume Forks Indicator is a comprehensive research tool that combines two innovative techniques, Recursive Auto-Pitchfork and Angled Volume Profile . This indicator provides traders with valuable insights into price dynamics by integrating accurate pitchfork drawing and volume analysis over angled levels. The indicator does following things
Detects Pitchfork formations automatically on the chart over Recursive Zigzag
Instead of drawing forks based on fib levels, volume distribution over ABC of pitchfork is calculated and drawn in the direction of the handle.
🎲 Brief about Pitchfork
Pitchfork is drawn when price forms ABC pattern. Pitchfork draws a series of parallel lines in the direction of trend which can be used for support and resistance.
There are many methods of drawing pitchfork. In all cases, a line joining BC will make the base of pitchfork and fork lines are drawn from different points of the base. All the fork lines will be parallel. But, the handle of the base defines the direction of fork lines. Classification of pitchfork is mainly based on the starting and ending points of the handle.
🎲 Regular Types
Here, end of the handle is always fixed and it will be the mid point of B and C.
🎯 Andrews Pitchfork
Handle starts from A and joins the base at mid of B and C.
Forks are drawn based on fib ratios from the handle
🎯 Schiff Pitchfork
Handle starts from Bar of A and price of middle of AB and joins the base at mid of B and C
Forks are drawn based on fib ratios from the handle
🎯 Modified Schiff Pitchfork
Handle starts from mid of A and B and joins the base at mid of B and C
Forks are drawn based on fib ratios from the handle
🎲 Inside Types
Here, C will act as end of the handle which joins the Base BC .
🎯 Andrews Pitchfork (Inside)
Handle starts from A and joins the base at C
Forks are drawn based on fib ratios from the handle
🎯 Schiff Pitchfork (Inside)
Handle starts from Bar of A and price of (A+B)/2 and joins the base at C
Forks are drawn based on fib ratios from the handle
🎯 Modified Schiff Pitchfork (Inside)
Handle starts from mid of A and B and joins the base at C
Forks are drawn based on fib ratios from the handle
🎲 Brief about Pitchfork
The Angled Volume Profile technique expands on the concept of volume profile by measuring volume distribution levels over angled levels rather than just horizontal levels. By selecting a starting point and angle interactively, traders can assess volume distribution within specific price trends. This feature is particularly useful for analysing volume dynamics in trending markets.
🎲 Settings
Indicator settings include few things which determine the scanning of pitchforks and few which determines drawing of volume profile lines.
Please note that, due to pine limitations of 500 lines, if there are too many formations on the chart, volume profile may not appear correctly. If that happens, please reduce the number of volume forks per formation.
Volume Zones Internal Visualizer [LuxAlgo]The Volume Zones Internal Visualizer is an alternate candle type intended to reveal lower timeframe volume activity while on a higher timeframe chart.
It displays the candle's range, the highest and lowest zones of accumulated volume throughout the candle, and the Lower Timeframe (LTF) candle close, which contained the most volume in the session (Candle Session).
🔶 USAGE
The indicator is intended to be used as its own independent candle type. It is not a replacement for traditional candlesticks; however, it is recommended that you hide the chart's display when using this indicator. Another option is to display this indicator in an additional pane alongside the normal chart, as displayed above.
The display consists of candle ranges represented by outlined boxes, within the ranges you will notice a transparent-colored zone, a solid-colored zone, and a line.
Each of these displays different points of volume-related information from an analysis of LTF data.
In addition to this analysis, the indicator also locates the LTF candle with the highest volume, and displays its close represented by the line. This line is considered as the "Peak Activity Level" (PAL), since throughout the (HTF) candle session, this candle's close is the outcome of the most volume transacted at the time.
We are further tracking these PALs by continuing to extend them into the future, looking towards them for potential further interaction. Once a PAL is crossed, we are removing it from display as it has been mitigated.
🔶 DETAILS
The indicator aggregates the volume data from each LTF candle and creates a volume profile from it; the number of rows in the profile is determined by the "Row Size" setting.
With this profile, it locates and displays the highest (solid area) and lowest (transparent area) volume zones from the profile created.
🔶 SETTINGS
Row Size: Sets the number of rows used for the calculation of the volume profile based on LTF data.
Intrabar Timeframe: Sets the Lower Timeframe to use for calculations.
Show Last Unmitigated PALs: Choose how many Unmitigated PALs to extend.
Style: Toggle on and off features, as well as adjust colors for each.
Volatility Footprint CandlesVolatility Footprint is an innovative volume profile indicator that dynamically adapts to real-time market conditions, providing traders with a powerful tool to visualize and interpret market structure, order flow, and potential areas of support and resistance.
At its core, Volatility Footprint combines the concepts of market profile, volume analysis, and volatility measurement to create a unique and adaptive charting experience. The indicator intelligently adjusts its display based on the current market volatility, ensuring that traders always have a clear and readable chart, regardless of the instrument or timeframe they are analyzing.
The footprint chart is composed of a series of color-coded boxes, each representing a specific price level. The color of the box indicates whether there is a net buying or selling pressure at that level, while the opacity reflects the relative strength of the volume. This intuitive visualization allows traders to quickly identify areas of high and low volume, as well as potential imbalances in order flow.
In addition to the individual box volumes, Volatility Footprint also calculates and displays the cumulative volume delta. This running total of buy and sell volumes across all price levels provides valuable insight into the overall market sentiment and potential trends.
One of the key features of Volatility Footprint is its ability to identify and highlight the Point of Control (POC). The POC represents the price level with the highest volume concentration and serves as a key reference point for potential support or resistance. By drawing attention to this crucial level, the indicator helps traders make more informed decisions about potential entry and exit points.
Volatility Footprint is designed to be highly customizable, allowing traders to tailor the appearance of the footprint chart to their specific preferences. Users can easily modify the colors, opacity, and size of the boxes, labels, and POC marker to enhance readability and clarity.
The indicator's versatility makes it suitable for a wide range of trading styles and strategies. Whether you are a scalper looking for short-term opportunities or a swing trader aiming to identify potential trend reversals, Volatility Footprint can provide valuable insights into market dynamics.
By combining Volatility Footprint with other forms of analysis, such as price action, key levels, and technical indicators, traders can gain a more comprehensive understanding of market behavior and make better-informed trading decisions.
Volatility Footprint's adaptive approach to volume profile analysis sets it apart from traditional fixed-resolution volume profile indicators. By dynamically adjusting to the unique characteristics of each instrument and timeframe, the indicator ensures that traders always have a clear and meaningful representation of market structure and order flow.
Volatility Footprint is a powerful tool that traders can incorporate into their market analysis and decision-making process. By providing a dynamic, visual representation of volume and order flow at different price levels, this indicator offers valuable insights into market structure, sentiment, and potential areas of support and resistance. Let's explore how traders might effectively utilize Volatility Footprint in their trading approach.
1. Identifying Key Levels:
One of the primary uses of Volatility Footprint is to identify key price levels where significant trading activity has occurred. The color-coded boxes allow traders to quickly spot areas of high volume concentration, which may indicate potential support or resistance zones. For example, if a trader notices a cluster of boxes with high opacity at a specific price level, they may interpret this as a strong support or resistance area, depending on the prevailing market context. By paying attention to these key levels, traders can make more informed decisions about potential entry and exit points, as well as placement of stop-loss orders and profit targets.
2. Assessing Market Sentiment:
The cumulative volume delta feature of Volatility Footprint provides traders with a valuable gauge of overall market sentiment. By analyzing the running total of buy and sell volumes across all price levels, traders can gain insight into the dominant market forces at play. If the cumulative delta is significantly positive, it may suggest a bullish sentiment, as buying pressure has been consistently outpacing selling pressure. Conversely, a negative cumulative delta may indicate a bearish sentiment. Traders can use this information to confirm or question their bias and adjust their trading plan accordingly.
3. Confirming Breakouts and Trend Reversals:
Volatility Footprint can be particularly useful in confirming the strength and validity of breakouts and potential trend reversals. When a price level is breached, traders can refer to the footprint chart to assess the volume and order flow characteristics around that level. If the breakout is accompanied by a surge in volume and a clear imbalance between buying and selling pressure, it may suggest a strong and sustainable move. On the other hand, if the volume is relatively low or evenly distributed, the breakout may be less reliable. By using Volatility Footprint to confirm breakouts, traders can make more informed decisions about whether to enter or exit a trade, or to adjust their position size.
4. Detecting Imbalances and Potential Reversals:
Imbalances between buying and selling pressure at specific price levels can often precede significant market moves or reversals. Volatility Footprint makes it easy for traders to spot these imbalances visually. For instance, if a trader observes a price level with a significantly larger number of sell boxes compared to buy boxes, it may indicate a potential exhaustion point for a bullish trend, and a reversal might be imminent. Traders can use this information in conjunction with other technical analysis tools, such as trendlines, moving averages, or momentum oscillators, to identify high-probability trading opportunities.
5. Adapting to Market Conditions:
One of the key strengths of Volatility Footprint is its ability to dynamically adapt to the unique volatility characteristics of different instruments and timeframes. This adaptability ensures that the indicator remains relevant and informative across a wide range of market conditions. Traders can use Volatility Footprint to gauge the relative volatility and volume of a particular instrument or timeframe, and adjust their trading approach accordingly. For example, in a highly volatile market, traders may opt for wider stop-loss levels and smaller position sizes to account for the increased risk.
Incorporating Volatility Footprint into a trading strategy requires a combination of technical analysis, market understanding, and risk management. Traders should use this indicator as part of a comprehensive approach, combining it with other forms of analysis, such as price action, key levels, and technical indicators. By doing so, traders can gain a more complete picture of market dynamics and make better-informed trading decisions.
It's important to note that while Volatility Footprint provides valuable insights, it should not be relied upon as a standalone trading signal. Traders should always consider the broader market context, their risk tolerance, and their overall trading plan when making decisions based on the information provided by this indicator.
In conclusion, Volatility Footprint offers traders a dynamic and visually intuitive way to analyze market structure, volume, and order flow. By identifying key levels, assessing market sentiment, confirming breakouts, detecting imbalances, and adapting to market conditions, traders can leverage this powerful tool to make more informed and confident trading decisions. As with any technical analysis tool, Volatility Footprint should be used in conjunction with sound risk management principles and a well-defined trading strategy to maximize its effectiveness.
Key Levels Suite - By LeviathanThis is a comprehensive script, designed to display over 100 key price levels across multiple dimensions, including volume profile levels, HTF levels, VWAPs, SMAs/EMAs, market session levels, day of week levels and more. The indicator offers high flexibility in features, settings and visual appearance.
● The script organizes levels into six main categories:
Higher Timeframe (HTF) Levels
- Current and/or previous period: Open, High, Low, and Midpoint for Daily, Weekly, Monthly, Quarterly, and Yearly timeframes (eg. levels for current weekly high/low and previous weekly high/low).
- These levels provide a clear structure for identifying key support and resistance zones. Traders often use HTF levels to anticipate price reactions, such as bounces or rejections, at major highs and lows. For example, a price nearing the weekly high could signal an area of resistance.
VWAP Levels
- Current and/or previous period: VWAP and upper/lower standard deviations for Daily, Weekly, Monthly, Quarterly, and Yearly timeframes (eg. levels for current daily VWAP and previous weekly VWAP).
- VWAP levels give traders insight into whether the current price is above or below the fair market value for a given period. It’s often used as a reference point for trend direction or S/R. If the price remains above VWAP, the trend may be seen as bullish, while breaks below VWAP can suggest a shift toward bearish sentiment. Standard deviations help identify areas where the price may be overextended, offering opportunities for mean reversion trades.
Moving Average Levels
- EMA and SMA for three customizable lengths (eg. levels for 200 EMA, 50 EMA and 100 SMA).
- These levels act as dynamic support and resistance lines that adjust with price movement. Traders use them to confirm trend direction and watch for reactions around these levels, particularly in trending markets. For example, when the price pulls back to a 200 EMA, it could present an opportunity to enter a trade in line with the prevailing trend.
Volume Profile Levels
- Current and previous: Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL) for Daily, Weekly, Monthly, Quarterly, and Yearly timeframes (eg. levels for current day POC and previous day POC).
- Volume Profile levels highlight price areas where significant trading occurred. The POC indicates the price where the most volume was traded and can act as a strong magnet for price. VAH and VAL mark the boundaries of value areas, making them excellent spots for breakout or mean reversion trades. Traders look for price reactions around these zones to either join or fade moves.
Market Session Levels
- Current and previous: Open, high, low, and midpoint for three user-defined sessions, with default being Tokyo, London, and New York (eg. levels for current New York session open and previous New York session high and low).
- Session levels allow traders to track how price behaves across different global market sessions. For instance, the New York open often brings increased liquidity and volatility. Traders often use these levels to anticipate sharp moves or continuations, especially after session highs and lows are broken, signaling shifts in market momentum.
Day of Week Levels
- Open, high, low, and midpoint for Monday through Sunday (eg. levels for Monday's high and low and Tuesday open).
- These levels help traders identify recurring intraday or intraweek price behaviors. For example, highs or lows established earlier in the week can serve as benchmarks for breakouts or retracements later on. Monday’s open or Friday’s high/low often reflect market sentiment going into or out of the weekend, providing valuable clues for planning trades.
● About the script
I published this script because it was heavily requested by my Tradingview followers who wanted a clean and feature-rich indicator that can display various levels they use in their analysis. The indicator can display levels that are not available in other similar public scripts and makes sure to calculate and load calculation-intensive levels (like volume profile levels, higher timeframe vwap levels, etc) as fast and efficiently as possible. It is one of the only scripts I've published that is not open source. The code is protected because it includes some proprietary calculations (eg: for POC/VAH/VAL), that I don't wish to open source, but I still want to publish a heavily requested script in a public and free format.
● How to use the script
1. Add the script to your chart
Start by adding the script to your chart like any other indicator.
2. Open the indicator settings
Click the settings icon to access all customization options.
3. Select which level groups to display
In the "Controls" section, choose which groups of levels (HTF, VWAP, Moving Averages, etc.) you want displayed. This allows you to quickly toggle between different sets of levels depending on your analysis needs, without overcrowding the chart.
4. Adjust group-specific settings
Scroll down to access detailed settings for each group. For any group, you can choose:
- The relevant time parameter (e.g., Daily, Weekly, Monthly, etc for HTF/VWAP/Volume Profile levels, length for Moving Average levels, day for Day of Week Levels, etc).
- Specific levels to display (e.g., Open/High/Low/Midpoint for HTF, VWAP, Day of Week, Session levels and POC/VAH/VAL for Volume Profile levels).
- For applicable groups, you can also toggle previous period levels by selecting them from the row starting with the "↳" icon.
5. Customize visual appearance
In the "Appearance" section, you have full control over how the levels and labels look. You can:
- Choose what details appear in the labels (e.g., level name, price, or percentage distance from current price).
- Pick from different line types, line style (solid, dashed, dotted), adjust line width, and manage the length of the lines using "Offset Right" and "Offset Left" settings.
- Modify font, label size, and color options. If multiple levels overlap at the same price, use the “Merge Levels” option to combine them into one, reducing visual clutter.
6. Customize level names to your preference
In the "Labels" section, you can rename any parameter to match your preferred abbreviations (e.g., change “Weekly Open” to “wO” or any other shorthand that works for you).
● Key Features:
- Display various different important levels, all in one indicator
- Seamless control of which group of levels / specific level to display
- Choose from various line and label styles to display levels.
- Labels can show the level's title (customizable abbreviations), price, and percentage distance from the current price.
- Merge nearby levels to reduce chart clutter, either for identical levels or those within a user-defined percentage range.
- Fully customizable visual appearance of levels to suit individual preferences.
Spekulator Maliyet Analizi Pro V4//@version=6
indicator('Spekulator Maliyet Analizi Pro V4', overlay = true, max_labels_count = 500, max_lines_count = 500)
// =================== GLOBAL DEĞİŞKENLER ===================
// Trend değişkenleri
var bool uptrend = false
var float last_swing_low = na
var float last_swing_high = na
var int last_swing_low_index = na
var int last_swing_high_index = na
// Maliyet değişkenleri
var float alis_maliyeti = na
var float satis_maliyeti = na
var float alis_maliyeti_alt = na
var float alis_maliyeti_ust = na
var float satis_maliyeti_alt = na
var float satis_maliyeti_ust = na
// Pozisyon değişkenleri
var bool pozisyonda = false
var bool son_islem_alis = false
var float giris_fiyati = na
var float cikis_fiyati = na
var int son_giris_cikis_zamani = 0
var float max_kar = 0.0
var float max_zarar = 0.0
var float curr_kar = 0.0
var bool olasi_alis = false
var bool olasi_satis = false
var bool alis_sinyal = false
var bool satis_sinyal = false
var float trailing_stop_seviyesi = na
var float trailing_stop_max = na
var float trailing_stop_min = na
var bool alis_yapildi = false
var bool satis_yapildi = false
// Sinyal kosullari
var bool alis_kosul_1 = false
var bool satis_kosul_1 = false
var bool alis_filtre = false
var bool satis_filtre = false
var bool alis_ek_kosul = false
var bool satis_ek_kosul = false
var bool alis_pozisyon_kosul = false
var bool satis_pozisyon_kosul = false
var bool pozisyon_kisitlama_alis = false
var bool pozisyon_kisitlama_satis = false
var bool alis_crossover = false
var bool satis_crossunder = false
var float olasi_alis_seviyesi = na
var float olasi_satis_seviyesi = na
// Crossover/Crossunder değişkenleri
var bool alis_tp_crossover = false
var bool satis_tp_crossunder = false
var bool alis_sl_crossunder = false
var bool satis_sl_crossover = false
var bool trailing_stop_crossunder = false
// Pre-calculated check variables
var bool alis_tp_crossover_check = false
var bool alis_sl_crossunder_check = false
var bool satis_tp_crossunder_check = false
var bool satis_sl_crossover_check = false
var bool trailing_stop_crossunder_check = false
// POC değişkenleri (Point of Control)
var float poc_fiyat = na
var float poc_hacim = 0.0
var float poc_yuzde = 0.0
var float rsi = na
var float rsi_deger = na
var bool rsi_alis_kosul = true
var bool rsi_satis_kosul = true
var float alis_sl = na
var float alis_tp = na
var float satis_sl = na
var float satis_tp = na
var color poc_renk = color.white
var string poc_metin = ""
// Volatilite değişkenleri
var float volatilite = na
var float volatilite_ort = na
var float fiyat_degisim_yuzde = 0.0
var bool siradisi_fiyat = false
var bool siradisi_hacim = false
var bool siradisi_volatilite = false
var bool siradisi_hareket = false
var bool siradisi_alis = false
var bool siradisi_satis = false
var bool yukselen_mumlar = false
var bool dusen_mumlar = false
var float swing_yuksek = na
var float swing_dusuk = na
var float hacim_orani = 0.0
var float vol_sma = 0.0
var bool yuksek_hacim = false
var table table_obj = na
// VPVR Değişkenleri
var float vpvr_poc_fiyat = na
var bool vpvr_ustunde = false
var color vpvr_poc_renk = color.gray
var string vpvr_poc_metin = ""
var float vpvr_poc_hacim = 0.0
var float vpvr_poc_yuzde = 0.0
// Histogram veri dizileri
var float vpvr_histogram_alt_liste = array.new_float()
var float vpvr_histogram_ust_liste = array.new_float()
var float vpvr_histogram_fiyat_liste = array.new_float()
var float vpvr_histogram_alim_hacmi_liste = array.new_float()
var float vpvr_histogram_satim_hacmi_liste = array.new_float()
var float vpvr_histogram_hacim_yuzde_liste = array.new_float()
// Görsel objeler için diziler
var box vpvr_alim_kutulari = array.new_box()
var box vpvr_satim_kutulari = array.new_box()
var line vpvr_cizgiler = array.new_line()
// =================== GORSEL AYARLAR ===================
g_grup1 = "Gorsel Ayarlar - Renkler"
i_alis_renk = input.color(color.green, "Alis Bölgesi Rengi", group=g_grup1)
i_satis_renk = input.color(color.red, "Satis Bölgesi Rengi", group=g_grup1)
i_ok_renk_alis = input.color(color.green, "Alis Ok Rengi", group=g_grup1)
i_ok_renk_satis = input.color(color.red, "Satis Ok Rengi", group=g_grup1)
i_olasi_alis_renk = input.color(color.new(color.green, 50), "Olası Alış Rengi", group=g_grup1)
i_olasi_satis_renk = input.color(color.new(color.red, 50), "Olası Satış Rengi", group=g_grup1)
i_sl_renk = input.color(color.red, "Stop Loss Rengi", group=g_grup1)
i_tp_renk = input.color(color.green, "Take Profit Rengi", group=g_grup1)
i_panel_yazi_renk = input.color(color.white, "Panel Yazı Rengi", group=g_grup1)
i_panel_baslik_renk = input.color(color.yellow, "Panel Başlık Rengi", group=g_grup1)
i_panel_renk = input.color(color.new(color.black, 90), "Panel Arka Plan Rengi", group=g_grup1)
g_grup2 = "Gorsel Ayarlar - Stil"
i_cizgi_kalinlik = input.int(2, "Ana Çizgi Kalınlığı", minval=1, maxval=4, group=g_grup2)
i_sl_tp_kalinlik = input.int(1, "SL/TP Çizgi Kalınlığı", minval=1, maxval=4, group=g_grup2)
i_panel_konum = input.string("Sag Üst", "Panel Konumu", options= , group=g_grup2)
i_panel_saydamlik = input.int(50, "Panel Saydamlığı", minval=0, maxval=100, group=g_grup2)
g_grup3 = "Hesaplama - Swing Ayarları"
i_swing_periyot = input.int(10, "Swing Periyodu", minval=5, maxval=50, group=g_grup3, tooltip="Swing noktalarını belirlemek için kullanılacak periyot")
i_swing_yuzde = input.float(1.5, "Min. Swing (%)", minval=0.5, step=0.1, group=g_grup3, tooltip="Minimum swing hareketi yüzdesi")
i_swing_onay = input.int(3, "Swing Onay Mumu", minval=1, maxval=5, group=g_grup3, tooltip="Swing noktasının onaylanması için gereken mum sayısı")
i_pivot_lookback = input.int(10, "Pivot Lookback", minval=5, maxval=50, group=g_grup3, tooltip="Pivot noktalarını belirlemek için kullanılacak periyot")
g_grup4 = "Hesaplama - Fibonacci Ayarları"
i_fib_seviye = input.float(0.618, "Ana Fibonacci Seviyesi", minval=0.1, maxval=1.0, step=0.001, group=g_grup4)
i_fib_alt = input.float(0.5, "Alt Fibonacci Seviyesi", minval=0.1, maxval=1.0, step=0.001, group=g_grup4)
i_fib_ust = input.float(0.786, "Üst Fibonacci Seviyesi", minval=0.1, maxval=1.0, step=0.001, group=g_grup4)
g_grup5 = "Risk Yönetimi"
i_sl_yuzde = input.float(1.5, "Stop Loss (%)", minval=0.5, step=0.1, group=g_grup5)
i_tp_yuzde = input.float(3.0, "Take Profit (%)", minval=1.0, step=0.1, group=g_grup5)
i_trailing_stop = input.bool(false, "Trailing Stop Kullan", group=g_grup5)
i_trailing_yuzde = input.float(1.0, "Trailing Stop (%)", minval=0.5, step=0.1, group=g_grup5)
g_grup6 = "Filtreler"
i_rsi_aktif = input.bool(false, "RSI Filtresini Kullan", group=g_grup6)
i_rsi_period = input.int(14, "RSI Periyodu", minval=1, group=g_grup6)
i_rsi_ust = input.int(70, "RSI Üst Sınır", minval=50, maxval=100, group=g_grup6)
i_rsi_alt = input.int(30, "RSI Alt Sınır", minval=0, maxval=50, group=g_grup6)
i_hacim_aktif = input.bool(false, "Hacim Filtresini Kullan", group=g_grup6)
i_hacim_period = input.int(20, "Hacim Ortalama Periyodu", minval=1, group=g_grup6)
i_hacim_carpan = input.float(1.5, "Hacim Çarpanı", minval=1.0, step=0.1, group=g_grup6)
g_grup7 = "Sinyal Ayarları"
i_alis_sinyal_seviyesi = input.float(0.0, "Alış Sinyal Seviyesi (%)", minval=-100, maxval=100, step=0.1, group=g_grup7)
i_satis_sinyal_seviyesi = input.float(0.0, "Satış Sinyal Seviyesi (%)", minval=-100, maxval=100, step=0.1, group=g_grup7)
i_sinyal_tetik_yuzde = input.float(2.0, "Sinyal Mesafesi (%)", minval=0.1, maxval=10.0, step=0.1, group=g_grup7, tooltip="Maliyet seviyesine göre sinyal mesafesi")
i_sinyal_ters_yon = input.bool(true, "Sadece Ters Yön Sinyalleri", group=g_grup7, tooltip="Aktif olduğunda, sadece önceki sinyalin tersi yönünde sinyal üretir")
i_sinyal_pozisyon_kontrol = input.bool(true, "Pozisyon Kontrolü", group=g_grup7, tooltip="Aktif olduğunda, pozisyondayken aynı yönde sinyal üretmez")
g_grup8 = "Olası Sinyal Ayarları"
i_olasi_sinyal_hassasiyeti = input.float(0.5, "Olası Sinyal Hassasiyeti (%)", minval=0.1, maxval=5.0, step=0.1, group=g_grup8)
// =================== YENİ EKLENTİ: SIRA DIŞI HAREKET ALGILAMA ===================
g_grup10 = "Sıra Dışı Hareket Algılama"
i_siradisi_fiyat_yuzde = input.float(3.0, "Ani Fiyat Değişimi (%)", minval=0.5, step=0.1, group=g_grup10, tooltip="Bu yüzdenin üzerindeki ani fiyat değişimleri anormal hareket olarak işaretlenir")
i_siradisi_hacim_carpan = input.float(2.5, "Hacim Artış Çarpanı", minval=1.5, step=0.1, group=g_grup10, tooltip="Normal hacimin bu katı üzerindeki hacimler anormal olarak kabul edilir")
i_siradisi_volatilite_carpan = input.float(2.0, "Volatilite Artış Çarpanı", minval=1.2, step=0.1, group=g_grup10, tooltip="Normal volatilitenin bu katı üzerindeki değerler anormal olarak kabul edilir")
// =================== VOLUME PROFILE VISIBLE RANGE AYARLAR ===================
g_grup_vpvr = "Volume Profile Ayarları"
i_vpvr_aktif = input.bool(false, "VPVR Göster", group=g_grup_vpvr, tooltip="Volume Profile Visible Range özelliğini etkinleştirir")
i_line_renk = input.color(color.new(color.gray, 25), "Üst/Alt Çizgi Rengi", group=g_grup_vpvr)
i_alis_bar_renk = input.color(color.new(color.green, 25), "Alış Bar Rengi", group=g_grup_vpvr)
i_satis_bar_renk = input.color(color.new(color.red, 25), "Satış Bar Rengi", group=g_grup_vpvr)
i_bar_sayisi = input.int(90, "Bar Sayısı", minval=14, maxval=365, group=g_grup_vpvr)
i_son_mumdan_mesafe = input.int(2, "Son Mumdan Mesafe", minval=2, maxval=20, group=g_grup_vpvr)
i_histogram_sayisi = input.int(50, "Histogram Sayısı", minval=10, maxval=200, group=g_grup_vpvr)
i_poc_genislik = input.int(50, "PoC Genişliği", minval=20, maxval=100, group=g_grup_vpvr)
// =================== FONKSİYONLAR ===================
isSwingHigh(index) =>
high > high and high > high and high > high and high > high
isSwingLow(index) =>
low < low and low < low and low < low and low < low
// Olası sinyal fonksiyonları
getOlasiAlisSinyali(curr_close, prev_close, maliyet) =>
result = false
if not na(maliyet)
fark_yuzde = math.abs((curr_close - maliyet) / maliyet * 100)
result := curr_close > prev_close and fark_yuzde <= i_olasi_sinyal_hassasiyeti
result
getOlasiSatisSinyali(curr_close, prev_close, maliyet) =>
result = false
if not na(maliyet)
fark_yuzde = math.abs((curr_close - maliyet) / maliyet * 100)
result := curr_close < prev_close and fark_yuzde <= i_olasi_sinyal_hassasiyeti
result
// Olası sinyal seviyelerini hesaplama fonksiyonları
getOlasiAlisSeviyesi(maliyet) =>
float sonuc = na
if not na(maliyet)
sonuc := maliyet * (1 - i_olasi_sinyal_hassasiyeti/100)
sonuc
getOlasiSatisSeviyesi(maliyet) =>
float sonuc = na
if not na(maliyet)
sonuc := maliyet * (1 + i_olasi_sinyal_hassasiyeti/100)
sonuc
// =================== TEKNİK GÖSTERGELER ===================
// RSI Hesaplama
rsi := ta.rsi(close, i_rsi_period)
rsi_deger := rsi
rsi_alis_kosul := i_rsi_aktif ? rsi < i_rsi_alt : true
rsi_satis_kosul := i_rsi_aktif ? rsi > i_rsi_ust : true
// Hacim Analizi
vol_sma := ta.sma(volume, i_hacim_period)
float yerel_hacim_orani = volume / vol_sma
hacim_orani := yerel_hacim_orani
yuksek_hacim := i_hacim_aktif ? yerel_hacim_orani > i_hacim_carpan : true
// Sıra dışı hareket hesaplamaları
volatilite := ta.atr(14)
volatilite_ort := ta.sma(volatilite, 20)
// Fiyat değişimi hesaplama
fiyat_degisim_yuzde := math.abs((close - close ) / close * 100)
// Sıra dışı hareket sinyalleri
siradisi_fiyat := fiyat_degisim_yuzde > i_siradisi_fiyat_yuzde
siradisi_hacim := hacim_orani > i_siradisi_hacim_carpan
siradisi_volatilite := volatilite > volatilite_ort * i_siradisi_volatilite_carpan
// Genel sıra dışı hareket tespiti (en az ikisi doğru olmalı)
siradisi_hareket := (siradisi_fiyat and siradisi_hacim) or (siradisi_fiyat and siradisi_volatilite) or (siradisi_hacim and siradisi_volatilite)
// Alış veya satış yönünü belirle
siradisi_alis := siradisi_hareket and close > open
siradisi_satis := siradisi_hareket and close < open
// =================== HESAPLAMALAR ===================
// Trend değişkenleri
yukselen_mumlar := close > open
dusen_mumlar := close < open
// =================== SWING HIGH/LOW HESABI ===================
// Swing High/Low hesaplama
swing_yuksek := ta.pivothigh(i_pivot_lookback, i_pivot_lookback)
swing_dusuk := ta.pivotlow(i_pivot_lookback, i_pivot_lookback)
// Son swing high/low güncelleme
if not na(swing_yuksek)
last_swing_high := swing_yuksek
if not na(swing_dusuk)
last_swing_low := swing_dusuk
// Trend belirleme
if not na(last_swing_high) and not na(last_swing_low)
if high > last_swing_high and not uptrend
uptrend := true
if low < last_swing_low and uptrend
uptrend := false
// =================== MALİYET HESABI ===================
// Maliyet değişkenleri daha önce tanımlandı
// Alış maliyeti hesaplama
if uptrend and not na(last_swing_low) and not na(last_swing_high)
fib_range = last_swing_high - last_swing_low
alis_maliyeti := last_swing_high - fib_range * i_fib_seviye
alis_maliyeti_alt := last_swing_high - fib_range * i_fib_alt
alis_maliyeti_ust := last_swing_high - fib_range * i_fib_ust
// Satış maliyeti hesaplama
if not uptrend and not na(last_swing_low) and not na(last_swing_high)
fib_range = last_swing_high - last_swing_low
satis_maliyeti := last_swing_low + fib_range * i_fib_seviye
satis_maliyeti_alt := last_swing_low + fib_range * i_fib_alt
satis_maliyeti_ust := last_swing_low + fib_range * i_fib_ust
// =================== POZİSYON YÖNETİMİ ===================
// Pozisyon değişkenleri zaten daha önce tanımlandı, tekrar etmiyoruz
// Stop ve hedef seviyeleri artık başlangıçta tanımlandığı için yeniden tanımlamıyoruz, sadece değer atıyoruz
alis_sl := na
alis_tp := na
satis_sl := na
satis_tp := na
if not na(alis_maliyeti)
alis_sl := alis_maliyeti * (1 - i_sl_yuzde/100)
alis_tp := alis_maliyeti * (1 + i_tp_yuzde/100)
if not na(satis_maliyeti)
satis_sl := satis_maliyeti * (1 + i_sl_yuzde/100)
satis_tp := satis_maliyeti * (1 - i_tp_yuzde/100)
// =================== SİNYAL HESAPLAMA ===================
var float last_signal_price = na
var int last_signal_type = 0 // 1 = alis, -1 = satis, 0 = sinyal yok
var string last_signal_time = na
var bool last_signal_success = false
var int win_count = 0
var int loss_count = 0
var int total_signals = 0
var string status_text = ""
var color status_color = color.gray
var float profit_pct = 0.0
var float loss_pct = 0.0
var float trail_level = na
// Alış ve satış sinyalleri
alis_crossover := ta.crossover(close, alis_maliyeti * (1 + i_alis_sinyal_seviyesi/100))
satis_crossunder := ta.crossunder(close, satis_maliyeti * (1 + i_satis_sinyal_seviyesi/100))
// Olası sinyal seviyeleri
olasi_alis_seviyesi := getOlasiAlisSeviyesi(alis_maliyeti)
olasi_satis_seviyesi := getOlasiSatisSeviyesi(satis_maliyeti)
// Sinyal koşulları
alis_kosul_1 := alis_crossover
satis_kosul_1 := satis_crossunder
// Sinyal filtreleme
alis_filtre := rsi_alis_kosul and yuksek_hacim
satis_filtre := rsi_satis_kosul and yuksek_hacim
// Ek sinyal kontrolü
alis_ek_kosul := i_sinyal_ters_yon ? last_signal_type <= 0 or not pozisyonda : true
satis_ek_kosul := i_sinyal_ters_yon ? last_signal_type >= 0 or not pozisyonda : true
alis_pozisyon_kosul := i_sinyal_pozisyon_kontrol ? not pozisyonda or not son_islem_alis : true
satis_pozisyon_kosul := i_sinyal_pozisyon_kontrol ? not pozisyonda or son_islem_alis : true
// Pozisyon-bazlı sinyal kısıtlaması (Bu kısıtlama her zaman aktif olacak)
pozisyon_kisitlama_alis := not (pozisyonda and son_islem_alis) // Zaten alis pozisyonundaysak yeni alis sinyali verme
pozisyon_kisitlama_satis := not (pozisyonda and not son_islem_alis) // Zaten satis pozisyonundaysak yeni satis sinyali verme
// Final sinyaller
alis_sinyal := alis_kosul_1 and alis_filtre and alis_ek_kosul and alis_pozisyon_kosul and pozisyon_kisitlama_alis
satis_sinyal := satis_kosul_1 and satis_filtre and satis_ek_kosul and satis_pozisyon_kosul and pozisyon_kisitlama_satis
// Olası sinyaller
olasi_alis := getOlasiAlisSinyali(close, close , alis_maliyeti) and not alis_yapildi and rsi_alis_kosul and not (pozisyonda and son_islem_alis)
olasi_satis := getOlasiSatisSinyali(close, close , satis_maliyeti) and not satis_yapildi and rsi_satis_kosul and not (pozisyonda and not son_islem_alis)
// Sinyal yönetimi
if alis_sinyal
total_signals := total_signals + 1
last_signal_type := 1
last_signal_price := close
last_signal_time := str.format("{0}", timeframe.period)
last_signal_success := false
pozisyonda := true
son_islem_alis := true
giris_fiyati := close
max_kar := 0.0
max_zarar := 0.0
trailing_stop_seviyesi := close * (1 - i_trailing_yuzde/100)
alis_yapildi := true
satis_yapildi := false
status_text := "Alış Sinyali - " + str.tostring(math.round(close, 2))
status_color := i_alis_renk
if satis_sinyal
total_signals := total_signals + 1
last_signal_type := -1
last_signal_price := close
last_signal_time := str.format("{0}", timeframe.period)
last_signal_success := false
pozisyonda := true
son_islem_alis := false
giris_fiyati := close
max_kar := 0.0
max_zarar := 0.0
trailing_stop_seviyesi := close * (1 + i_trailing_yuzde/100)
satis_yapildi := true
alis_yapildi := false
status_text := "Satış Sinyali - " + str.tostring(math.round(close, 2))
status_color := i_satis_renk
// Trailing Stop güncelleme
if i_trailing_stop and pozisyonda
if son_islem_alis
trail_level := close * (1 - i_trailing_yuzde/100)
trailing_stop_seviyesi := math.max(trailing_stop_seviyesi, trail_level)
else
trail_level := close * (1 + i_trailing_yuzde/100)
trailing_stop_seviyesi := math.min(trailing_stop_seviyesi, trail_level)
// TP/SL için crossover/crossunder hesaplamaları
// Calculate crossover/crossunder variables once per bar
alis_tp_crossover_check := ta.crossover(close, alis_tp)
alis_sl_crossunder_check := ta.crossunder(close, alis_sl)
satis_tp_crossunder_check := ta.crossunder(close, satis_tp)
satis_sl_crossover_check := ta.crossover(close, satis_sl)
trailing_stop_crossunder_check := i_trailing_stop and ta.crossunder(close, trailing_stop_seviyesi)
// Update global crossover/crossunder variables
alis_tp_crossover := alis_tp_crossover_check
satis_tp_crossunder := satis_tp_crossunder_check
alis_sl_crossunder := alis_sl_crossunder_check
satis_sl_crossover := satis_sl_crossover_check
trailing_stop_crossunder := trailing_stop_crossunder_check
// Pozisyon takibi
if pozisyonda
if son_islem_alis
curr_kar := (close - giris_fiyati) / giris_fiyati * 100
max_kar := math.max(max_kar, curr_kar)
max_zarar := math.min(max_zarar, curr_kar)
// TP veya SL - Use the check variables
if (alis_tp_crossover_check or (i_trailing_stop ? trailing_stop_crossunder_check : alis_sl_crossunder_check))
pozisyonda := false
alis_yapildi := false
last_signal_type := 0 // Pozisyondan çıkışta signal type'ı sıfırla
if close >= alis_tp
win_count := win_count + 1
last_signal_success := true
profit_pct := profit_pct + i_tp_yuzde
status_text := "Alış TP - Kar: " + str.tostring(math.round(i_tp_yuzde, 2)) + "%"
status_color := i_tp_renk
else
loss_count := loss_count + 1
last_signal_success := false
loss_pct := loss_pct + i_sl_yuzde
status_text := "Alış SL - Zarar: " + str.tostring(math.round(i_sl_yuzde, 2)) + "%"
status_color := i_sl_renk
else
curr_kar := (giris_fiyati - close) / giris_fiyati * 100
max_kar := math.max(max_kar, curr_kar)
max_zarar := math.min(max_zarar, curr_kar)
// TP veya SL
if (satis_tp_crossunder_check or (i_trailing_stop ? trailing_stop_crossunder_check : satis_sl_crossover_check))
pozisyonda := false
satis_yapildi := false
last_signal_type := 0 // Pozisyondan çıkışta signal type'ı sıfırla
if close <= satis_tp
win_count := win_count + 1
last_signal_success := true
profit_pct := profit_pct + i_tp_yuzde
status_text := "Satış TP - Kar: " + str.tostring(math.round(i_tp_yuzde, 2)) + "%"
status_color := i_tp_renk
else
loss_count := loss_count + 1
last_signal_success := false
loss_pct := loss_pct + i_sl_yuzde
status_text := "Satış SL - Zarar: " + str.tostring(math.round(i_sl_yuzde, 2)) + "%"
status_color := i_sl_renk
// =================== GÖRSEL ELEMANLARI ===================
// Maliyet çizgileri
plot(alis_maliyeti, "Alış Maliyeti", color=color.new(i_alis_renk, 0), linewidth=i_cizgi_kalinlik, style=plot.style_linebr)
plot(satis_maliyeti, "Satış Maliyeti", color=color.new(i_satis_renk, 0), linewidth=i_cizgi_kalinlik, style=plot.style_linebr)
// Alt ve üst maliyet seviyeleri
plot(alis_maliyeti_alt, "Alış Alt Seviye", color=color.new(i_alis_renk, 70), linewidth=1, style=plot.style_linebr)
plot(alis_maliyeti_ust, "Alış Üst Seviye", color=color.new(i_alis_renk, 70), linewidth=1, style=plot.style_linebr)
plot(satis_maliyeti_alt, "Satış Alt Seviye", color=color.new(i_satis_renk, 70), linewidth=1, style=plot.style_linebr)
plot(satis_maliyeti_ust, "Satış Üst Seviye", color=color.new(i_satis_renk, 70), linewidth=1, style=plot.style_linebr)
// Stop loss ve take profit çizgileri
plot(alis_sl, "Alış Stop Loss", color=color.new(i_sl_renk, 0), linewidth=i_sl_tp_kalinlik, style=plot.style_circles)
plot(alis_tp, "Alış Take Profit", color=color.new(i_tp_renk, 0), linewidth=i_sl_tp_kalinlik, style=plot.style_circles)
plot(satis_sl, "Satış Stop Loss", color=color.new(i_sl_renk, 0), linewidth=i_sl_tp_kalinlik, style=plot.style_circles)
plot(satis_tp, "Satış Take Profit", color=color.new(i_tp_renk, 0), linewidth=i_sl_tp_kalinlik, style=plot.style_circles)
// Trailing Stop çizgisi
plot(i_trailing_stop and pozisyonda ? trailing_stop_seviyesi : na, "Trailing Stop", color=color.new(i_sl_renk, 30), linewidth=1, style=plot.style_stepline)
// Ana sinyal okları
plotshape(alis_sinyal, "Alış Sinyali", style=shape.triangleup, location=location.belowbar, color=i_ok_renk_alis, size=size.normal)
plotshape(satis_sinyal, "Satış Sinyali", style=shape.triangledown, location=location.abovebar, color=i_ok_renk_satis, size=size.normal)
// Olası sinyal okları ve seviyeleri
plotshape(olasi_alis, "Olası Alış", style=shape.circle, location=location.belowbar, color=i_olasi_alis_renk, size=size.tiny)
plotshape(olasi_satis, "Olası Satış", style=shape.circle, location=location.abovebar, color=i_olasi_satis_renk, size=size.tiny)
// Sıra dışı hareket okları
plotshape(siradisi_alis, "Sıra Dışı Yükseliş", style=shape.diamond, location=location.belowbar, color=color.new(i_alis_renk, 0), size=size.large)
plotshape(siradisi_satis, "Sıra Dışı Düşüş", style=shape.diamond, location=location.abovebar, color=color.new(i_satis_renk, 0), size=size.large)
// =================== VOLUME PROFILE VISIBLE RANGE ===================
// VPVR Hesaplama ve Çizim
if barstate.islast
// Sadece son barda VPVR hesaplamaları yap
if i_vpvr_aktif
// VPVR aktif ise
// Değişkenleri tanımla
float aralik_ust = ta.highest(high, i_bar_sayisi)
float aralik_alt = ta.lowest(low, i_bar_sayisi)
float aralik_yukseklik = aralik_ust - aralik_alt
float poc_fiyat_temp = na
float histogram_yukseklik = aralik_yukseklik / i_histogram_sayisi
// Histogram dizilerini yeniden ayarla
array.clear(vpvr_histogram_alt_liste)
array.clear(vpvr_histogram_ust_liste)
array.clear(vpvr_histogram_fiyat_liste)
array.clear(vpvr_histogram_alim_hacmi_liste)
array.clear(vpvr_histogram_satim_hacmi_liste)
array.clear(vpvr_histogram_hacim_yuzde_liste)
// Histogram dizilerini doldur
for i = 0 to i_histogram_sayisi - 1
float histogram_alt = aralik_alt + histogram_yukseklik * i
float histogram_ust = aralik_alt + histogram_yukseklik * (i + 1)
array.push(vpvr_histogram_alt_liste, histogram_alt)
array.push(vpvr_histogram_ust_liste, histogram_ust)
array.push(vpvr_histogram_fiyat_liste, (histogram_alt + histogram_ust) / 2)
array.push(vpvr_histogram_alim_hacmi_liste, 0.0)
array.push(vpvr_histogram_satim_hacmi_liste, 0.0)
array.push(vpvr_histogram_hacim_yuzde_liste, 0.0)
// Bar'ların hacimlerini histogramlara ata
for i = 0 to i_bar_sayisi - 1
float mevcut_bar_yukseklik = high - low
if mevcut_bar_yukseklik > 0
float mevcut_alim_hacmi = volume * (close - low ) / mevcut_bar_yukseklik
float mevcut_satim_hacmi = volume * (high - close ) / mevcut_bar_yukseklik
// Mevcut hacim yüzdesini histogramlara dağıt
for j = 0 to i_histogram_sayisi - 1
if j < array.size(vpvr_histogram_alt_liste) and j < array.size(vpvr_histogram_ust_liste)
float h_alt = array.get(vpvr_histogram_alt_liste, j)
float h_ust = array.get(vpvr_histogram_ust_liste, j)
// Bar ve histogram arasındaki kesişim hesapla
float hedef = math.max(h_ust, high ) - math.min(h_alt, low )
- math.max(0, math.max(h_ust, high ) - math.min(h_ust, high ))
- math.max(0, math.max(h_alt, low ) - math.min(h_alt, low ))
float hacim_yuzde = hedef / mevcut_bar_yukseklik
if hacim_yuzde > 0
float h_alim = array.get(vpvr_histogram_alim_hacmi_liste, j)
float h_satim = array.get(vpvr_histogram_satim_hacmi_liste, j)
array.set(vpvr_histogram_alim_hacmi_liste, j, h_alim + mevcut_alim_hacmi * hacim_yuzde)
array.set(vpvr_histogram_satim_hacmi_liste, j, h_satim + mevcut_satim_hacmi * hacim_yuzde)
// En yüksek hacimli histogramı bul (POC - Point of Control)
float en_yuksek_hacim = 0.0
for i = 0 to i_histogram_sayisi - 1
if i < array.size(vpvr_histogram_alim_hacmi_liste) and i < array.size(vpvr_histogram_satim_hacmi_liste)
float h_alim = array.get(vpvr_histogram_alim_hacmi_liste, i)
float h_satim = array.get(vpvr_histogram_satim_hacmi_liste, i)
float h_toplam = h_alim + h_satim
if h_toplam > en_yuksek_hacim
en_yuksek_hacim := h_toplam
poc_fiyat_temp := array.get(vpvr_histogram_fiyat_liste, i)
// POC değerlerini güncelle
vpvr_poc_fiyat := poc_fiyat_temp
vpvr_poc_hacim := en_yuksek_hacim
if not na(vpvr_poc_fiyat)
vpvr_poc_yuzde := (close - vpvr_poc_fiyat) / vpvr_poc_fiyat * 100
// Kapanış fiyatı POC'un üzerinde mi kontrol et
vpvr_ustunde := close > vpvr_poc_fiyat
// POC metni ve rengini ayarla
if vpvr_poc_yuzde > 0
vpvr_poc_renk := color.green
vpvr_poc_metin := str.tostring(vpvr_poc_fiyat, "#.00") + " ↑"
else
vpvr_poc_renk := color.red
vpvr_poc_metin := str.tostring(vpvr_poc_fiyat, "#.00") + " ↓"
// Önceki kutuları ve çizgileri temizle
if array.size(vpvr_alim_kutulari) > 0
for i = 0 to array.size(vpvr_alim_kutulari) - 1
box.delete(array.get(vpvr_alim_kutulari, i))
if array.size(vpvr_satim_kutulari) > 0
for i = 0 to array.size(vpvr_satim_kutulari) - 1
box.delete(array.get(vpvr_satim_kutulari, i))
if array.size(vpvr_cizgiler) > 0
for i = 0 to array.size(vpvr_cizgiler) - 1
line.delete(array.get(vpvr_cizgiler, i))
array.clear(vpvr_alim_kutulari)
array.clear(vpvr_satim_kutulari)
array.clear(vpvr_cizgiler)
// Aralık üst ve alt sınırlarını çiz
int zaman_birimi = int(time - time )
line ust_cizgi = line.new(time , aralik_ust, time + i_son_mumdan_mesafe * zaman_birimi, aralik_ust,
xloc=xloc.bar_time, color=i_line_renk, width=2)
line alt_cizgi = line.new(time , aralik_alt, time + i_son_mumdan_mesafe * zaman_birimi, aralik_alt,
xloc=xloc.bar_time, color=i_line_renk, width=2)
// Çizgileri diziye ekle
array.push(vpvr_cizgiler, ust_cizgi)
array.push(vpvr_cizgiler, alt_cizgi)
// Histogramları çiz
// Önce maksimum hacmi bul
float max_hacim = en_yuksek_hacim
if max_hacim > 0
for i = 0 to i_histogram_sayisi - 1
if i < array.size(vpvr_histogram_alt_liste) and i < array.size(vpvr_histogram_ust_liste) and i < array.size(vpvr_histogram_alim_hacmi_liste) and i < array.size(vpvr_histogram_satim_hacmi_liste)
float h_alt = array.get(vpvr_histogram_alt_liste, i)
float h_ust = array.get(vpvr_histogram_ust_liste, i)
float h_alim = array.get(vpvr_histogram_alim_hacmi_liste, i)
float h_satim = array.get(vpvr_histogram_satim_hacmi_liste, i)
float h_toplam = h_alim + h_satim
if h_toplam > 0
float genislik = i_poc_genislik * h_toplam / max_hacim
float alim_genislik = math.floor(genislik * h_alim / h_toplam)
float satim_genislik = math.floor(genislik * h_satim / h_toplam)
// Alım ve satım histogramlarını çiz
if alim_genislik > 0
box alim_kutu = box.new( left=int(bar_index + i_son_mumdan_mesafe), top=h_ust, right=int(bar_index + i_son_mumdan_mesafe + alim_genislik), bottom=h_alt, bgcolor=i_alis_bar_renk, border_color=color.new(color.black, 80))
array.push(vpvr_alim_kutulari, alim_kutu)
if satim_genislik > 0
box satim_kutu = box.new( left=int(bar_index + i_son_mumdan_mesafe + alim_genislik), top=h_ust, right=int(bar_index + i_son_mumdan_mesafe + alim_genislik + satim_genislik), bottom=h_alt, bgcolor=i_satis_bar_renk, border_color=color.new(color.black, 80))
array.push(vpvr_satim_kutulari, satim_kutu)
else
// VPVR aktif değilse tüm görsel nesneleri temizle
// Kutuları temizle
if array.size(vpvr_alim_kutulari) > 0
for i = 0 to array.size(vpvr_alim_kutulari) - 1
box.delete(array.get(vpvr_alim_kutulari, i))
if array.size(vpvr_satim_kutulari) > 0
for i = 0 to array.size(vpvr_satim_kutulari) - 1
box.delete(array.get(vpvr_satim_kutulari, i))
// Çizgileri temizle
if array.size(vpvr_cizgiler) > 0
for i = 0 to array.size(vpvr_cizgiler) - 1
line.delete(array.get(vpvr_cizgiler, i))
// Dizileri temizle
array.clear(vpvr_alim_kutulari)
array.clear(vpvr_satim_kutulari)
array.clear(vpvr_cizgiler)
// VPVR POC (Point of Control) Bilgisi
if barstate.islast
if i_vpvr_aktif
// VPVR aktifse POC bilgilerini göster
table.cell(table_obj, 0, 19, "VPVR POC:", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 19, vpvr_poc_metin, text_color=vpvr_poc_renk, text_size=size.small, bgcolor=i_panel_renk)
if not na(vpvr_poc_yuzde)
table.cell(table_obj, 0, 20, "POC'ye Mesafe (%):", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 20, str.tostring(vpvr_poc_yuzde, "#.##") + "%",
text_color=vpvr_poc_yuzde >= 0 ? color.green : color.red,
text_size=size.small,
bgcolor=i_panel_renk)
// POC'un üstünde mi altında mı bilgisi
table.cell(table_obj, 0, 21, "POC Durumu:", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 21, vpvr_ustunde ? "POC Üzerinde ↑" : "POC Altında ↓",
text_color=vpvr_ustunde ? color.green : color.red,
text_size=size.small,
bgcolor=i_panel_renk)
else
table.cell(table_obj, 0, 20, "POC'ye Mesafe (%):", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 20, "HESAPLANIYOR", text_color=i_panel_yazi_renk, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 0, 21, "POC Durumu:", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 21, "HESAPLANIYOR", text_color=i_panel_yazi_renk, text_size=size.small, bgcolor=i_panel_renk)
else
// VPVR aktif değilse boş hücreler göster
table.cell(table_obj, 0, 19, "", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 19, "", text_color=i_panel_yazi_renk, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 0, 20, "", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 20, "", text_color=i_panel_yazi_renk, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 0, 21, "", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 21, "", text_color=i_panel_yazi_renk, text_size=size.small, bgcolor=i_panel_renk)
// =================== PANEL ===================
// Panel pozisyonunu ayarla
var panel_pos = i_panel_konum == "Sag Üst" ? position.top_right :
i_panel_konum == "Sol Üst" ? position.top_left :
i_panel_konum == "Sag Alt" ? position.bottom_right : position.bottom_left
// Renk ayarları
var panel_bg_renk = i_panel_renk
var panel_text_renk = color.white
var alim_renk = i_alis_renk
var satim_renk = i_satis_renk
// Tablo oluştur
table_obj := table.new(panel_pos, 2, 22, i_panel_renk, frame_width=2, frame_color=panel_text_renk, border_color=panel_text_renk, border_width=1)
// Maliyet referansları için formatlama fonksiyonu
f_renk_format(deger, ref_alt, ref_ust) =>
deger < ref_alt ? satim_renk : deger > ref_ust ? alim_renk : panel_text_renk
// Tablo başlığı
f_tablo_guncelle(table_obj) =>
table.cell(table_obj, 0, 0, "Spekulator Maliyet Analizi Pro V4", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 0, "v4.1", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
// Piyasa bilgileri
table.cell(table_obj, 0, 1, "PİYASA BİLGİLERİ", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 1, "", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 0, 2, "Trend:", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
trend_durum = uptrend ? 1 : -1
trend_renk = trend_durum == 1 ? alim_renk : satim_renk
trend_metin = trend_durum == 1 ? "YUKARI (Alış)" : "AŞAĞI (Satış)"
table.cell(table_obj, 1, 2, trend_metin, text_color=trend_renk, text_size=size.small, bgcolor=i_panel_renk)
// Maliyet bilgileri
table.cell(table_obj, 0, 3, "MALİYET HESABI", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 3, "", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 0, 4, "Kritik Fib. 61.8%:", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 4, str.tostring(alis_maliyeti, "#.00"), text_color=f_renk_format(close, alis_maliyeti * 0.99, alis_maliyeti * 1.01), text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 0, 5, "Kritik Fib. 78.6%:", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 5, str.tostring(satis_maliyeti, "#.00"), text_color=f_renk_format(close, satis_maliyeti * 0.99, satis_maliyeti * 1.01), text_size=size.small, bgcolor=i_panel_renk)
// Diğer maliyet bilgileri...
table.cell(table_obj, 0, 6, "TE Maliyet (ORT):", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 6, str.tostring(alis_maliyeti, "#.00"), text_color=f_renk_format(close, alis_maliyeti * 0.99, alis_maliyeti * 1.01), text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 0, 7, "TE Min. Maliyet:", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 7, str.tostring(alis_maliyeti_alt, "#.00"), text_color=f_renk_format(close, alis_maliyeti_alt * 0.99, alis_maliyeti_alt * 1.01), text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 0, 8, "TE Maks. Maliyet:", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 8, str.tostring(alis_maliyeti_ust, "#.00"), text_color=f_renk_format(close, alis_maliyeti_ust * 0.99, alis_maliyeti_ust * 1.01), text_size=size.small, bgcolor=i_panel_renk)
// Pozisyon durumu
table.cell(table_obj, 0, 9, "POZİSYON DURUMU", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 9, "", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
var int son_trend_yonu = 0
var int son_trend_uzunlugu = 0
if close > open
if son_trend_yonu == 1
son_trend_uzunlugu := son_trend_uzunlugu + 1
else
son_trend_yonu := 1
son_trend_uzunlugu := 1
else if close < open
if son_trend_yonu == -1
son_trend_uzunlugu := son_trend_uzunlugu + 1
else
son_trend_yonu := -1
son_trend_uzunlugu := 1
pos_durum_renk = pozisyonda ? (son_islem_alis ? alim_renk : satim_renk) : panel_text_renk
pos_durum_metin = pozisyonda ? (son_islem_alis ? "UZUN (Alış)" : "KISA (Satış)") : "POZİSYON YOK"
table.cell(table_obj, 0, 10, "Mevcut Pozisyon:", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 10, pos_durum_metin, text_color=pos_durum_renk, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 0, 11, "Sinyal Tipi:", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
sinyal_renk = last_signal_type == 1 ? alim_renk : last_signal_type == -1 ? satim_renk : panel_text_renk
sinyal_metin = last_signal_type == 1 ? "ALIS" : last_signal_type == -1 ? "SATIŞ" : "YOK"
table.cell(table_obj, 1, 11, sinyal_metin, text_color=sinyal_renk, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 0, 12, "Olası Sinyal:", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
olasi_sinyal_renk = olasi_alis ? alim_renk : olasi_satis ? satim_renk : panel_text_renk
olasi_sinyal_metin = olasi_alis ? "OLASI ALIS" : olasi_satis ? "OLASI SATIŞ" : "YOK"
table.cell(table_obj, 1, 12, olasi_sinyal_metin, text_color=olasi_sinyal_renk, text_size=size.small, bgcolor=i_panel_renk)
// Hacim ve volatilite
table.cell(table_obj, 0, 13, "DESTEKLEYEN FAKTÖRLER", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 13, "", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
// RSI
rsi_renk = rsi < 30 ? alim_renk : rsi > 70 ? satim_renk : panel_text_renk
table.cell(table_obj, 0, 14, "RSI Değeri:", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 14, str.tostring(rsi, "#.00"), text_color=rsi_renk, text_size=size.small, bgcolor=i_panel_renk)
// Hacim Durumu
float yerel_hacim_orani = volume / vol_sma
hacim_renk = yerel_hacim_orani > 1.1 ? alim_renk : yerel_hacim_orani < 0.9 ? satim_renk : panel_text_renk
table.cell(table_obj, 0, 15, "Hacim Oranı:", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 15, str.tostring(yerel_hacim_orani, "#.00x"), text_color=hacim_renk, text_size=size.small, bgcolor=i_panel_renk)
// Mevcut Aralık
fiyat_araligi = (high - low) / low * 100
aralik_renk = fiyat_araligi > 1.5 ? alim_renk : panel_text_renk
table.cell(table_obj, 0, 16, "Fiyat Aralığı (%):", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 16, str.tostring(fiyat_araligi, "#.00") + "%", text_color=aralik_renk, text_size=size.small, bgcolor=i_panel_renk)
// Ardışık Mum Sayısı
mum_renk = son_trend_yonu == 1 ? alim_renk : son_trend_yonu == -1 ? satim_renk : panel_text_renk
mum_metin = son_trend_yonu == 1 ? "+" + str.tostring(son_trend_uzunlugu) + " YEŞİL" : son_trend_yonu == -1 ? "-" + str.tostring(son_trend_uzunlugu) + " KIRMIZI" : "NÖTR"
table.cell(table_obj, 0, 17, "Ardışık Mumlar:", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 17, mum_metin, text_color=mum_renk, text_size=size.small, bgcolor=i_panel_renk)
// Anormal Hareket Uyarısı
var int siradisi_durumlar = 0
siradisi_durumlar := siradisi_alis or siradisi_satis ? siradisi_durumlar + 1 : siradisi_durumlar
siradisi_renk = siradisi_durumlar > 0 ? color.yellow : panel_text_renk
siradisi_metin = siradisi_durumlar > 0 ? "Sıra Dışı İşaret" : "NORMAL"
table.cell(table_obj, 0, 18, "Sıra Dışı Durum:", text_color=color.white, text_size=size.small, bgcolor=i_panel_renk)
table.cell(table_obj, 1, 18, siradisi_metin, text_color=siradisi_renk, text_size=size.small, bgcolor=i_panel_renk)
// Panel'i güncelle
if barstate.islast
f_tablo_guncelle(table_obj)
// =================== ALERTLER ===================
alertcondition(alis_sinyal, "Alış Sinyali", "Fiyat alış maliyetini yukarı kırdı")
alertcondition(satis_sinyal, "Satış Sinyali", "Fiyat satış maliyetini aşağı kırdı")
alertcondition(alis_tp_crossover, "Alış TP", "Alış pozisyonu kar hedefine ulaştı")
alertcondition(satis_tp_crossunder, "Satış TP", "Satış pozisyonu kar hedefine ulaştı")
alertcondition(alis_sl_crossunder, "Alış SL", "Alış pozisyonu stop loss seviyesinde")
alertcondition(satis_sl_crossover, "Satış SL", "Satış pozisyonu stop loss seviyesinde")
alertcondition(trailing_stop_crossunder, "Trailing Stop", "Trailing stop seviyesine ulaşıldı")
alertcondition(olasi_alis, "Olası Alış", "Olası alış fırsatı")
alertcondition(olasi_satis, "Olası Satış", "Olası satış fırsatı")
// Sıra dışı hareket alertleri
alertcondition(siradisi_alis, "Sıra Dışı Yükseliş", "Anormal derecede hızlı bir yükseliş tespit edildi!")
alertcondition(siradisi_satis, "Sıra Dışı Düşüş", "Anormal derecede hızlı bir düşüş tespit edildi!")
Simplified Market ProfileVolume Bins: This script divides the price range into num_bins equal price levels. Each bin holds the cumulative volume for that price range.
Profile Length: The number of past bars that the profile considers for building the volume histogram.
Bin Size: The price range between bins is determined by dividing the difference between the highest and lowest prices over the specified range.
Volume Calculation: The script iterates over each bar within the specified range, determining which price bin the bar’s volume should be added to.
Plotting: The script visualizes the volume profile as lines plotted horizontally at different price levels, with thickness proportional to the volume traded at that level.
CVD - Cumulative Volume Delta (Chart)█ OVERVIEW
This indicator displays cumulative volume delta (CVD) as an on-chart oscillator. It uses intrabar analysis to obtain more precise volume delta information compared to methods that only use the chart's timeframe.
The core concepts in this script come from our first CVD indicator , which displays CVD values as plot candles in a separate indicator pane. In this script, CVD values are scaled according to price ranges and represented on the main chart pane.
█ CONCEPTS
Bar polarity
Bar polarity refers to the position of the close price relative to the open price. In other words, bar polarity is the direction of price change.
Intrabars
Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 bars at the lower timeframe of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar.
Lower timeframes (LTFs)
A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script utilizes a LTF to analyze intrabars, or price changes within a chart bar. The lower the LTF, the more intrabars are analyzed, but the less chart bars can display information due to the limited number of intrabars that can be analyzed.
Volume delta
Volume delta is a measure that separates volume into "up" and "down" parts, then takes the difference to estimate the net demand for the asset. This approach gives traders a more detailed insight when analyzing volume and market sentiment. There are several methods for determining whether an asset's volume belongs in the "up" or "down" category. Some indicators, such as On Balance Volume and the Klinger Oscillator , use the change in price between bars to assign volume values to the appropriate category. Others, such as Chaikin Money Flow , make assumptions based on open, high, low, and close prices. The most accurate method involves using tick data to determine whether each transaction occurred at the bid or ask price and assigning the volume value to the appropriate category accordingly. However, this method requires a large amount of data on historical bars, which can limit the historical depth of charts and the number of symbols for which tick data is available.
In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate volume delta on historical bars on our charts. This indicator uses intrabar analysis to achieve a compromise between simplicity and accuracy in calculating volume delta on historical bars. Our Volume Profile indicators use it as well. Other volume delta indicators in our Community Scripts , such as the Realtime 5D Profile , use real-time chart updates to achieve more precise volume delta calculations. However, these indicators aren't suitable for analyzing historical bars since they only work for real-time analysis.
This is the logic we use to assign intrabar volume to the "up" or "down" category:
• If the intrabar's open and close values are different, their relative position is used.
• If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.
• As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used.
Once all intrabars comprising a chart bar are analyzed, we calculate the net difference between "up" and "down" intrabar volume to produce the volume delta for the chart bar.
█ FEATURES
CVD resets
The "cumulative" part of the indicator's name stems from the fact that calculations accumulate during a period of time. By periodically resetting the volume delta accumulation, we can analyze the progression of volume delta across manageable chunks, which is often more useful than looking at volume delta accumulated from the beginning of a chart's history.
You can configure the reset period using the "CVD Resets" input, which offers the following selections:
• None : Calculations do not reset.
• On a fixed higher timeframe : Calculations reset on the higher timeframe you select in the "Fixed higher timeframe" field.
• At a fixed time that you specify.
• At the beginning of the regular session .
• On trend changes : Calculations reset on the direction change of either the Aroon indicator, Parabolic SAR , or Supertrend .
• On a stepped higher timeframe : Calculations reset on a higher timeframe automatically stepped using the chart's timeframe and following these rules:
Chart TF HTF
< 1min 1H
< 3H 1D
<= 12H 1W
< 1W 1M
>= 1W 1Y
Specifying intrabar precision
Ten options are included in the script to control the number of intrabars used per chart bar for calculations. The greater the number of intrabars per chart bar, the fewer chart bars can be analyzed.
The first five options allow users to specify the approximate amount of chart bars to be covered:
• Least Precise (Most chart bars) : Covers all chart bars by dividing the current timeframe by four.
This ensures the highest level of intrabar precision while achieving complete coverage for the dataset.
• Less Precise (Some chart bars) & More Precise (Less chart bars) : These options calculate a stepped LTF in relation to the current chart's timeframe.
• Very precise (2min intrabars) : Uses the second highest quantity of intrabars possible with the 2min LTF.
• Most precise (1min intrabars) : Uses the maximum quantity of intrabars possible with the 1min LTF.
The stepped lower timeframe for "Less Precise" and "More Precise" options is calculated from the current chart's timeframe as follows:
Chart Timeframe Lower Timeframe
Less Precise More Precise
< 1hr 1min 1min
< 1D 15min 1min
< 1W 2hr 30min
> 1W 1D 60min
The last five options allow users to specify an approximate fixed number of intrabars to analyze per chart bar. The available choices are 12, 24, 50, 100, and 250. The script will calculate the LTF which most closely approximates the specified number of intrabars per chart bar. Keep in mind that due to factors such as the length of a ticker's sessions and rounding of the LTF, it is not always possible to produce the exact number specified. However, the script will do its best to get as close to the value as possible.
As there is a limit to the number of intrabars that can be analyzed by a script, a tradeoff occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible.
Display
This script displays raw or cumulative volume delta values on the chart as either line or histogram oscillator zones scaled according to the price chart, allowing traders to visualize volume activity on each bar or cumulatively over time. The indicator's background shows where CVD resets occur, demarcating the beginning of new zones. The vertical axis of each oscillator zone is scaled relative to the one with the highest price range, and the oscillator values are scaled relative to the highest volume delta. A vertical offset is applied to each oscillator zone so that the highest oscillator value aligns with the lowest price. This method ensures an accurate, intuitive visual comparison of volume activity within zones, as the scale is consistent across the chart, and oscillator values sit below prices. The vertical scale of oscillator zones can be adjusted using the "Zone Height" input in the script settings.
This script displays labels at the highest and lowest oscillator values in each zone, which can be enabled using the "Hi/Lo Labels" input in the "Visuals" section of the script settings. Additionally, the oscillator's value on a chart bar is displayed as a tooltip when a user hovers over the bar, which can be enabled using the "Value Tooltips" input.
Divergences occur when the polarity of volume delta does not match that of the chart bar. The script displays divergences as bar colors and background colors that can be enabled using the "Color bars on divergences" and "Color background on divergences" inputs.
An information box in the lower-left corner of the indicator displays the HTF used for resets, the LTF used for intrabars, the average quantity of intrabars per chart bar, and the number of chart bars for which there is LTF data. This is enabled using the "Show information box" input in the "Visuals" section of the script settings.
FOR Pine Script™ CODERS
• This script utilizes `ltf()` and `ltfStats()` from the lower_tf library.
The `ltf()` function determines the appropriate lower timeframe from the selected calculation mode and chart timeframe, and returns it in a format that can be used with request.security_lower_tf() .
The `ltfStats()` function, on the other hand, is used to compute and display statistical information about the lower timeframe in an information box.
• The script utilizes display.data_window and display.status_line to restrict the display of certain plots.
These new built-ins allow coders to fine-tune where a script’s plot values are displayed.
• The newly added session.isfirstbar_regular built-in allows for resetting the CVD segments at the start of the regular session.
• The VisibleChart library developed by our resident PineCoders team leverages the chart.left_visible_bar_time and chart.right_visible_bar_time variables to optimize the performance of this script.
These variables identify the opening time of the leftmost and rightmost visible bars on the chart, allowing the script to recalculate and draw objects only within the range of visible bars as the user scrolls.
This functionality also enables the scaling of the oscillator zones.
These variables are just a couple of the many new built-ins available in the chart.* namespace.
For more information, check out this blog post or look them up by typing "chart." in the Pine Script™ Reference Manual .
• Our ta library has undergone significant updates recently, including the incorporation of the `aroon()` indicator used as a method for resetting CVD segments within this script.
Revisit the library to see more of the newly added content!
Look first. Then leap.
Delta Volume Channels [LucF]█ OVERVIEW
This indicator displays on-chart visuals aimed at making the most of delta volume information. It can color bars and display two channels: one for delta volume, another calculated from the price levels of bars where delta volume divergences occur. Markers and alerts can also be configured using key conditions, and filtered in many different ways. The indicator caters to traders who prefer chart visuals over raw values. It will work on historical bars and in real time, using intrabar analysis to calculate delta volume in both conditions.
█ CONCEPTS
Delta Volume
The volume delta concept divides a bar's volume in "up" and "down" volumes. The delta is calculated by subtracting down volume from up volume. Many calculation techniques exist to isolate up and down volume within a bar. The simplest techniques use the polarity of interbar price changes to assign their volume to up or down slots, e.g., On Balance Volume or the Klinger Oscillator . Others such as Chaikin Money Flow use assumptions based on a bar's OHLC values. The most precise calculation method uses tick data and assigns the volume of each tick to the up or down slot depending on whether the transaction occurs at the bid or ask price. While this technique is ideal, it requires huge amounts of data on historical bars, which usually limits the historical depth of charts and the number of symbols for which tick data is available.
This indicator uses intrabar analysis to achieve a compromise between the simplest and most precise methods of calculating volume delta. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate volume delta on historical bars on our charts. TradingView's Volume Profile built-in indicators use it, as do the CVD - Cumulative Volume Delta Candles and CVD - Cumulative Volume Delta (Chart) indicators published from the TradingView account . My Volume Delta Columns Pro indicator also uses intrabar analysis. Other volume delta indicators such as my Realtime 5D Profile use realtime chart updates to achieve more precise volume delta calculations. Indicators of that type cannot be used on historical bars however; they only work in real time.
This is the logic I use to assign intrabar volume to up or down slots:
• If the intrabar's open and close values are different, their relative position is used.
• If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.
• As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used.
Once all intrabars making up a chart bar have been analyzed and the up or down property of each intrabar's volume determined, the up volumes are added and the down volumes subtracted. The resulting value is volume delta for that chart bar, which can be used as an estimate of the buying/selling pressure on an instrument.
Delta Volume Percent (DV%)
This value is the proportion that delta volume represents of the total intrabar volume in the chart bar. Note that on some symbols/timeframes, the total intrabar volume may differ from the chart's volume for a bar, but that will not affect our calculations since we use the total intrabar volume.
Delta Volume Channel
The DV channel is the space between two moving averages: the reference line and a DV%-weighted version of that reference. The reference line is a moving average of a type, source and length which you select. The DV%-weighted line uses the same settings, but it averages the DV%-weighted price source.
The weight applied to the source of the reference line is calculated from two values, which are multiplied: DV% and the relative size of the bar's volume in relation to previous bars. The effect of this is that DV% values on bars with higher total volume will carry greater weight than those with lesser volume.
The DV channel can be in one of four states, each having its corresponding color:
• Bull (teal): The DV%-weighted line is above the reference line.
• Strong bull (lime): The bull condition is fulfilled and the bar's close is above the reference line and both the reference and the DV%-weighted lines are rising.
• Bear (maroon): The DV%-weighted line is below the reference line.
• Strong bear (pink): The bear condition is fulfilled and the bar's close is below the reference line and both the reference and the DV%-weighted lines are falling.
Divergences
In the context of this indicator, a divergence is any bar where the slope of the reference line does not match that of the DV%-weighted line. No directional bias is assigned to divergences when they occur.
Divergence Channel
The divergence channel is the space between two levels (by default, the bar's low and high ) saved when divergences occur. When price has breached a channel and a new divergence occurs, a new channel is created. Until that new channel is breached, bars where additional divergences occur will expand the channel's levels if the bar's price points are outside the channel.
Prices breaches of the divergence channel will change its state. Divergence channels can be in one of five different states:
• Bull (teal): Price has breached the channel to the upside.
• Strong bull (lime): The bull condition is fulfilled and the DV channel is in the strong bull state.
• Bear (maroon): Price has breached the channel to the downside.
• Strong bear (pink): The bear condition is fulfilled and the DV channel is in the strong bear state.
• Neutral (gray): The channel has not been breached.
█ HOW TO USE THE INDICATOR
Load the indicator on an active chart (see here if you don't know how).
The default configuration displays:
• The DV channel, without the reference or DV%-weighted lines.
• The Divergence channel, without its level lines.
• Bar colors using the state of the DV channel.
The default settings use an Arnaud-Legoux moving average on the close and a length of 20 bars. The DV%-weighted version of it uses a combination of DV% and relative volume to calculate the ultimate weight applied to the reference. The DV%-weighted line is capped to 5 standard deviations of the reference. The lower timeframe used to access intrabars automatically adjusts to the chart's timeframe and achieves optimal balance between the number of intrabars inspected in each chart bar, and the number of chart bars covered by the script's calculations.
The Divergence channel's levels are determined using the high and low of the bars where divergences occur. Breaches of the channel require a bar's low to move above the top of the channel, and the bar's high to move below the channel's bottom.
No markers appear on the chart; if you want to create alerts from this script, you will need first to define the conditions that will trigger the markers, then create the alert, which will trigger on those same conditions.
To learn more about how to use this indicator, you must understand the concepts it uses and the information it displays, which requires reading this description. There are no videos to explain it.
█ FEATURES
The script's inputs are divided in four sections: "DV channel", "Divergence channel", "Other Visuals" and "Marker/Alert Conditions". The first setting is the selection method used to determine the intrabar precision, i.e., how many lower timeframe bars (intrabars) are examined in each chart bar. The more intrabars you analyze, the more precise the calculation of DV% results will be, but the less chart coverage can be covered by the script's calculations.
DV Channel
Here, you control the visibility and colors of the reference line, its weighted version, and the DV channel between them.
You also specify what type of moving average you want to use as a reference line, its source and length. This acts as the DV channel's baseline. The DV%-weighted line is also a moving average of the same type and length as the reference line, except that it will be calculated from the DV%-weighted source used in the reference line. By default, the DV%-weighted line is capped to five standard deviations of the reference line. You can change that value here. This section is also where you can disable the relative volume component of the weight.
Divergence Channel
This is where you control the appearance of the divergence channel and the key price values used in determining the channel's levels and breaching conditions. These choices have an impact on the behavior of the channel. More generous level prices like the default low and high selection will produce more conservative channels, as will the default choice for breach prices.
In this section, you can also enable a mode where an attempt is made to estimate the channel's bias before price breaches the channel. When it is enabled, successive increases/decreases of the channel's top and bottom levels are counted as new divergences occur. When one count is greater than the other, a bull/bear bias is inferred from it.
Other Visuals
You specify here:
• The method used to color chart bars, if you choose to do so.
• The display of a mark appearing above or below bars when a divergence occurs.
• If you want raw values to appear in tooltips when you hover above chart bars. The default setting does not display them, which makes the script faster.
• If you want to display an information box which by default appears in the lower left of the chart.
It shows which lower timeframe is used for intrabars, and the average number of intrabars per chart bar.
Marker/Alert Conditions
Here, you specify the conditions that will trigger up or down markers. The trigger conditions can include a combination of state transitions of the DV and the divergence channels. The triggering conditions can be filtered using a variety of conditions.
Configuring the marker conditions is necessary before creating an alert from this script, as the alert will use the marker conditions to trigger.
Markers only appear on bar closes, so they will not repaint. Keep in mind, when looking at markers on historical bars, that they are positioned on the bar when it closes — NOT when it opens.
Raw values
The raw values calculated by this script can be inspected using a tooltip and the Data Window. The tooltip is visible when you hover over the top of chart bars. It will display on the last 500 bars of the chart, and shows the values of DV, DV%, the combined weight, and the intermediary values used to calculate them.
█ INTERPRETATION
The aim of the DV channel is to provide a visual representation of the buying/selling pressure calculated using delta volume. The simplest characteristic of the channel is its bull/bear state. One can then distinguish between its bull and strong bull states, as transitions from strong bull to bull states will generally happen when buyers are losing steam. While one should not infer a reversal from such transitions, they can be a good place to tighten stops. Only time will tell if a reversal will occur. One or more divergences will often occur before reversals.
The nature of the divergence channel's design makes it particularly adept at identifying consolidation areas if its settings are kept on the conservative side. A gray divergence channel should usually be considered a no-trade zone. More adventurous traders can use the DV channel to orient their trade entries if they accept the risk of trading in a neutral divergence channel, which by definition will not have been breached by price.
If your charts are already busy with other stuff you want to hold on to, you could consider using only the chart bar coloring component of this indicator:
At its simplest, one way to use this indicator would be to look for overlaps of the strong bull/bear colors in both the DV channel and a divergence channel, as these identify points where price is breaching the divergence channel when buy/sell pressure is consistent with the direction of the breach. I have highlighted all those points in the chart below. Not all of them would have produced profitable trades, but nothing is perfect in the markets. Also, keep in mind that the circles identify the visual you would be looking for — not the trade's entry level.
█ LIMITATIONS
• The script will not work on symbols where no volume is available. An error will appear when that is the case.
• Because a maximum of 100K intrabars can be analyzed by a script, a compromise is necessary between the number of intrabars analyzed per chart bar
and chart coverage. The more intrabars you analyze per chart bar, the less coverage you will obtain.
The setting of the "Intrabar precision" field in the "DV channel" section of the script's inputs
is where you control how the lower timeframe is calculated from the chart's timeframe.
█ NOTES
Volume Quality
If you use volume, it's important to understand its nature and quality, as it varies with sectors and instruments. My Volume X-ray indicator is one way you can appraise the quality of an instrument's intraday volume.
For Pine Script™ Coders
• This script uses the new overload of the fill() function which now makes it possible to do vertical gradients in Pine. I use it for both channels displayed by this script.
• I use the new arguments for plot() 's `display` parameter to control where the script plots some of its values,
namely those I only want to appear in the script's status line and in the Data Window.
• I wrote my script using the revised recommendations in the Style Guide from the Pine v5 User Manual.
█ THANKS
To PineCoders . I have used their lower_tf library in this script, to manage the calculation of the LTF and intrabar stats, and their Time library to convert a timeframe in seconds to a printable form for its display in the Information box.
To TradingView's Pine Script™ team. Their innovations and improvements, big and small, constantly expand the boundaries of the language. What this script does would not have been possible just a few months back.
And finally, thanks to all the users of my scripts who take the time to comment on my publications and suggest improvements. I do not reply to all but I do read your comments and do my best to implement your suggestions with the limited time that I have.
Bitcoin Stalemate IndicatorThe Bitcoin Stalemate Indicator examines periods in the market defined by a combination of high volume and low price volatility. These periods are a bit like a tug-of-war with both sides applying a lot of force but the rope moving very little. Periods of high volume and low volatility suggest both sides of the trade are stuck in a stalemate. This indicator may be useful in identifying psychologically important price levels.
The mechanics of the indicator are fairly simple: the indicator takes the volume and divides it by the candle’s size over it’s close for that same period.
volume / ((high - low) / close)
Candles that move very little but with high volume will produce higher reads and vice versa. Finally a smoothing average is applied to clean up the noise.
Volume profiles from the top 6 exchanges are averaged in order to avoid a single exchange’s popularity acting as an overriding factor. Single exchanges can be isolated but are of lesser use. Heat map functionality is only active when all exchanges are selected.
CVD - Cumulative Volume Delta Candles█ OVERVIEW
This indicator displays cumulative volume delta in candle form. It uses intrabar information to obtain more precise volume delta information than methods using only the chart's timeframe.
█ CONCEPTS
Bar polarity
By bar polarity , we mean the direction of a bar, which is determined by looking at the bar's close vs its open .
Intrabars
Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 bars at the lower timeframe of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar.
Lower timeframes (LTFs)
A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script uses a LTF to access intrabars. The lower the LTF, the more intrabars are analyzed, but the less chart bars can display CVD information because there is a limit to the total number of intrabars that can be analyzed.
Volume delta
The volume delta concept divides a bar's volume in "up" and "down" volumes. The delta is calculated by subtracting down volume from up volume. Many calculation techniques exist to isolate up and down volume within a bar. The simplest techniques use the polarity of interbar price changes to assign their volume to up or down slots, e.g., On Balance Volume or the Klinger Oscillator . Others such as Chaikin Money Flow use assumptions based on a bar's OHLC values. The most precise calculation method uses tick data and assigns the volume of each tick to the up or down slot depending on whether the transaction occurs at the bid or ask price. While this technique is ideal, it requires huge amounts of data on historical bars, which usually limits the historical depth of charts and the number of symbols for which tick data is available.
This indicator uses intrabar analysis to achieve a compromise between the simplest and most precise methods of calculating volume delta. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate volume delta on historical bars on our charts. Our Volume Profile indicators use it. Other volume delta indicators in our Community Scripts such as the Realtime 5D Profile use realtime chart updates to achieve more precise volume delta calculations, but that method cannot be used on historical bars, so those indicators only work in real time.
This is the logic we use to assign intrabar volume to up or down slots:
• If the intrabar's open and close values are different, their relative position is used.
• If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.
• As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used.
Once all intrabars making up a chart bar have been analyzed and the up or down property of each intrabar's volume determined, the up volumes are added and the down volumes subtracted. The resulting value is volume delta for that chart bar.
█ FEATURES
CVD Candles
Cumulative Volume Delta Candles present volume delta information as it evolves during a period of time.
This is how each candle's levels are calculated:
• open : Each candle's' open level is the cumulative volume delta for the current period at the start of the bar.
This value becomes zero on the first candle following a CVD reset.
The candles after the first one always open where the previous candle closed.
The candle's high, low and close levels are then calculated by adding or subtracting a volume value to the open.
• high : The highest volume delta value found in intrabars. If it is not higher than the volume delta for the bar, then that candle will have no upper wick.
• low : The lowest volume delta value found in intrabars. If it is not lower than the volume delta for the bar, then that candle will have no lower wick.
• close : The aggregated volume delta for all intrabars. If volume delta is positive for the chart bar, then the candle's close will be higher than its open, and vice versa.
The candles are plotted in one of two configurable colors, depending on the polarity of volume delta for the bar.
CVD resets
The "cumulative" part of the indicator's name stems from the fact that calculations accumulate during a period of time. This allows you to analyze the progression of volume delta across manageable chunks, which is often more useful than looking at volume delta cumulated from the beginning of a chart's history.
You can configure the reset period using the "CVD Resets" input, which offers the following selections:
• None : Calculations do not reset.
• On a fixed higher timeframe : Calculations reset on the higher timeframe you select in the "Fixed higher timeframe" field.
• At a fixed time that you specify.
• At the beginning of the regular session .
• On a stepped higher timeframe : Calculations reset on a higher timeframe automatically stepped using the chart's timeframe and following these rules:
Chart TF HTF
< 1min 1H
< 3H 1D
<= 12H 1W
< 1W 1M
>= 1W 1Y
The indicator's background shows where resets occur.
Intrabar precision
The precision of calculations increases with the number of intrabars analyzed for each chart bar. It is controlled through the script's "Intrabar precision" input, which offers the following selections:
• Least precise, covering many chart bars
• Less precise, covering some chart bars
• More precise, covering less chart bars
• Most precise, 1min intrabars
As there is a limit to the number of intrabars that can be analyzed by a script, a tradeoff occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible.
Total volume candles
You can choose to display candles showing the total intrabar volume for the chart bar. This provides you with more context to evaluate a bar's volume delta by showing it relative to the sum of intrabar volume. Note that because of the reasons explained in the "NOTES" section further down, the total volume is the sum of all intrabar volume rather than the volume of the bar at the chart's timeframe.
Total volume candles can be configured with their own up and down colors. You can also control the opacity of their bodies to make them more or less prominent. This publication's chart shows the indicator with total volume candles. They are turned off by default, so you will need to choose to display them in the script's inputs for them to plot.
Divergences
Divergences occur when the polarity of volume delta does not match that of the chart bar. You can identify divergences by coloring the CVD candles differently for them, or by coloring the indicator's background.
Information box
An information box in the lower-left corner of the indicator displays the HTF used for resets, the LTF used for intrabars, and the average quantity of intrabars per chart bar. You can hide the box using the script's inputs.
█ INTERPRETATION
The first thing to look at when analyzing CVD candles is the side of the zero line they are on, as this tells you if CVD is generally bullish or bearish. Next, one should consider the relative position of successive candles, just as you would with a price chart. Are successive candles trending up, down, or stagnating? Keep in mind that whatever trend you identify must be considered in the context of where it appears with regards to the zero line; an uptrend in a negative CVD (below the zero line) may not be as powerful as one taking place in positive CVD values, but it may also predate a movement into positive CVD territory. The same goes with stagnation; a trader in a long position will find stagnation in positive CVD territory less worrisome than stagnation under the zero line.
After consideration of the bigger picture, one can drill down into the details. Exactly what you are looking for in markets will, of course, depend on your trading methodology, but you may find it useful to:
• Evaluate volume delta for the bar in relation to price movement for that bar.
• Evaluate the proportion that volume delta represents of total volume.
• Notice divergences and if the chart's candle shape confirms a hesitation point, as a Doji would.
• Evaluate if the progress of CVD candles correlates with that of chart bars.
• Analyze the wicks. As with price candles, long wicks tend to indicate weakness.
Always keep in mind that unless you have chosen not to reset it, your CVD resets for each period, whether it is fixed or automatically stepped. Consequently, any trend from the preceding period must re-establish itself in the next.
█ NOTES
Know your volume
Traders using volume information should understand the volume data they are using: where it originates and what transactions it includes, as this can vary with instruments, sectors, exchanges, timeframes, and between historical and realtime bars. The information used to build a chart's bars and display volume comes from data providers (exchanges, brokers, etc.) who often maintain distinct feeds for intraday and end-of-day (EOD) timeframes. How volume data is assembled for the two feeds depends on how instruments are traded in that sector and/or the volume reporting policy for each feed. Instruments from crypto and forex markets, for example, will often display similar volume on both feeds. Stocks will often display variations because block trades or other types of trades may not be included in their intraday volume data. Futures will also typically display variations.
Note that as intraday vs EOD variations exist for historical bars on some instruments, differences may also exist between the realtime feeds used on intraday vs 1D or greater timeframes for those same assets. Realtime reporting rules will often be different from historical feed reporting rules, so variations between realtime feeds will often be different from the variations between historical feeds for the same instrument. The Volume X-ray indicator can help you analyze differences between intraday and EOD volumes for the instruments you trade.
If every unit of volume is both bought by a buyer and sold by a seller, how can volume delta make sense?
Traders who do not understand the mechanics of matching engines (the exchange software that matches orders from buyers and sellers) sometimes argue that the concept of volume delta is flawed, as every unit of volume is both bought and sold. While they are rigorously correct in stating that every unit of volume is both bought and sold, they overlook the fact that information can be mined by analyzing variations in the price of successive ticks, or in our case, intrabars.
Our calculations model the situation where, in fully automated order handling, market orders are generally matched to limit orders sitting in the order book. Buy market orders are matched to quotes at the ask level and sell market orders are matched to quotes at the bid level. As explained earlier, we use the same logic when comparing intrabar prices. While using intrabar analysis does not produce results as precise as when individual transactions — or ticks — are analyzed, results are much more precise than those of methods using only chart prices.
Not only does the concept underlying volume delta make sense, it provides a window on an oft-overlooked variable which, with price and time, is the only basic information representing market activity. Furthermore, because the calculation of volume delta also uses price and time variations, one could conceivably surmise that it can provide a more complete model than ones using price and time only. Whether or not volume delta can be useful in your trading practice, as usual, is for you to decide, as each trader's methodology is different.
For Pine Script™ coders
As our latest Polarity Divergences publication, this script uses the recently released request.security_lower_tf() Pine Script™ function discussed in this blog post . It works differently from the usual request.security() in that it can only be used at LTFs, and it returns an array containing one value per intrabar. This makes it much easier for programmers to access intrabar information.
Look first. Then leap.
