Dynamic Point of Control (POC)The Dynamic Point of Control (POC) indicator provides traders and analysts with insightful information about price levels, volume distribution, and sentiment within a specified historical range.
Instant Updates : POC recalculates with every new bar, keeping you ahead of the game.
Market Bias : Assess market sentiment through bullish volume share.
Customization : Tailor inputs to match your unique trading strategy.
Chart Presence : See POC and related data graphically on your price chart.
How to Use :
Traders can use the Dynamic POC indicator to identify Point of Control price level, understand volume distribution, and gauge market sentiment. The indicator's visual cues and customizable parameters make it a valuable tool for technical analysis and decision-making.
Volumeanalysis
*Predictive Volume + HTF [Free]*"Predictive Volume + HTF " is a predictor of real-time to near-future volume % change on the current chart and the next highest time frame. The script calculates the volume's % change (Pred Vol) between Current Volume vs. Previous Volume by predicting whether Pred Vol will be higher or lower at the end of the current bar using an "elapsed time" vs "volume so far" concept. This gives the benefit of the most up-to-date information without artificial low/high comparisons when a bar has just formed. For example, it would be common to see -100% in a lot of instances when a new bar is just forming which would be normal because volume at the start of a new candle will generally be lower than where it was when the last bar closed. Where this indicator shines is during this old to new bar formation and the volume that's carried over to the new bar. As a result, it will now be common to see Pred Vol values starting much higher because the calculation is dividing up the bar and analyzing fractions of it instead of the entire bar that would otherwise lead to these incorrect volume % change calculations.
A few examples of Predictive Volume % Change:
In addition, this indicator uses many advanced and dynamic features:
⚡ Matrices that create the table, allowing you to add and remove columns to customize the table to show only the information that's important to you
⚡ View 2 time frames at once - meaning every time you switch time frames, the table will auto-adjust to show the next highest time frame, or "HTF"
⚡ Header function that keeps you aware of the ticker, time frame and session that you're on at all times (can use in lieu of TV's watermark feature, or use together)
⚡ Timer that shows you when a bar will begin/end
⚡ Includes the following popular time frames: 1m, 3m, 5m, 10m, 15m, 30m, 1h, 2h, 4h, 8h, 1d, week, month
⚡ 3 "bias mode" choices that use Relative Volume (RVOL) from calculations between Current, Previous & Average Volume that provide a visual with varying degrees of color representing buying & selling momentum of your favorite asset. Traders generally have an innate bias when it comes to their trading methodology. Of course it can change quickly depending on current market structure. The script's author created separate modes to account for these biases. One way to utilize the indicator is to use 2 on your chart with 1 Bullish bias \"middle right\" and another Bearish bias \"lower right\" to see if volume pressure is skewed towards your particular bias by showing how many colored boxes there are on each table.
⏩ Standard - 🟢🔴 - displays green and red to depict volume momentum using same RVOL calculations as Bullish & Bearish modes
⏩ Bullish - 🐂🐂 - displays 5 colors to represent the levels of intensity of the Buy/Sell/RVOL data (light blue, green, yellow, light orange, dark orange)
⏩ Bearish - 🐻🐻 - displays 5 colors to represent the levels of intensity of the Buy/Sell/RVOL data (light red to dark purple)
Ex. of all 3 bias modes during a burst of bullish volume momentum:
Ex. of all 3 bias modes during a burst of bearish volume momentum:
⚡ 2 alert types: 1 bullish & 1 bearish with 2 levels for each
⏩ The PREDEFINED ALERTS consist of 2 Bullish & Bearish levels with Lvl 1 designed to be less sensitive than Lvl 2
⏩ Configurable for every time frame, "On Close" or "Each Bar". On Close could be a better choice on lower time frames so that you're not getting a bunch of triggers over a short duration & Each Bar could be a better option for higher time frames so that you don't miss a move mid bar for instance
⏩ Creating a PREDEFINED BULLISH/BEARISH ALERT saves a snapshot of the alert's settings. You can then change the settings and create another alert. In this way, you can create multiple unique alerts
⏩ Create one alert for any alert type (bull and/or bear), for every time frame all at once, or you can create multiple & separate alerts, giving each one a unique name with the time frame that it's for: ex. BTC - Bullish Vol Lvl1 (1m)
In this example, you'll see what causes the alerts to trigger as well as how to create them and how they'll look when they do fire.
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It is with a sense of gratitude, appreciation and indebtedness to the coder of this script ©SimpleCryptoLife that I'm able to present this indicator to you after months of hard work. We hope that you find it invaluable during your own trading journey! Should you have any questions, feedback or critiques please do not hesitate to leave a comment.
Heikin-Ashi Rolling Time Decay Volume OscillatorThe indicator calculates a time-decayed moving sum of volume data for both bullish (green) and bearish (red) candles. It then generates a volume share oscillator as a smoothed and weighted (time-decayed) moving sum of bullish volume (positive share) or bearish volume (negative share) relative to the total volume.
The volume share is displayed as an area chart with gradient fills representing overbought and oversold regions. Additionally, an Arnaud Legoux Moving Average (ALMA) of the volume oscillator is plotted on the chart.
Trend Momentum and Price Control :
This indicator serves as a powerful tool for traders to gauge trend momentum and identify which side, bulls or bears, is controlling price movements. When the volume oscillator trends strongly in the green territory, it suggests that bulls are in control of price movements, indicating a potential uptrend. Conversely, when the oscillator tilts into the red, it indicates bearish dominance and a potential downtrend. With the incorporation of ALMA for smoothing, this indicator becomes an essential tool for traders and analysts navigating the dynamics of traded assets.
Source Candles :
This indicator is designed to work with Heiken Ashi or Japanese candlesticks to discern candle bias, whether it's red or green. Heiken Ashi tends to produce red candles during downtrends and green candles during uptrends, providing a clearer trend indication. In contrast, traditional candlesticks alternate colors regardless of the dominant price direction. Users can select between "Heikin-Ashi Candles" and regular "Japanese Candles" as the source for price direction."
A time decay cumulative sum, also known as a weighted moving sum or exponentially weighted moving sum, offers several advantages when it comes to determining market dynamics compared to other methods:
Responsive to Recent Data: Time decay cumulative sum gives more weight to recent data points and gradually reduces the impact of older data. This responsiveness is crucial in rapidly changing market conditions where recent price and volume information is more relevant for analysis.
Adaptive to Market Volatility : It adapts to changes in market volatility. When markets are highly volatile, it places more emphasis on recent data to reflect the current market environment accurately. Conversely, during calmer periods, it considers older data less important.
Effective for Identifying Turning Points : Time decay cumulative sums are particularly effective at identifying turning points in market dynamics. They can indicate shifts from bullish to bearish sentiment and vice versa, providing early signals of potential trend reversals.
Reduces Lag : Traditional cumulative sums or simple moving averages can lag behind actual market changes, making them less effective for real-time decision-making. Time decay cumulative sums reduce this lag by giving more weight to recent events.
Dynamic Weighting: The weighting scheme can be adjusted to fit specific market dynamics or trading strategies. Traders can customize the decay rate or smoothing factor to align with their analysis goals and timeframes.
Improved Signal Clarity : The time decay cumulative sum can provide clearer and more precise signals for overbought and oversold conditions, as well as trend strength, due to its ability to emphasize recent relevant data.
In summary, a time decay cumulative sum is a valuable tool in determining market dynamics because it adapts to changing market conditions, reduces noise, and provides timely and accurate insights into trends, turning points, and the relative strength of bullish and bearish forces. Its responsiveness and adaptability make it an essential component of many technical analysis and trading strategies.
Volume Delta CandlesThis indicator is designed to visualize the volume delta, which represents the difference between buying and selling volumes during each candle period. The indicator plots custom candlesticks on the chart, with OHLC values calculated based on the volume delta.
Calculations:
To calculate the volume delta, the indicator first determines the buying and selling volumes. If the closing price is higher than the opening price (close > open), the volume is considered as buying volume. If the closing price is lower than the opening price (close < open), the volume is considered as selling volume. Otherwise, the volume is set to zero. The volume delta is then calculated as the difference between the buying volume and the selling volume.
The custom OHLC values are derived from the volume delta. The custom open is obtained by subtracting the volume delta from the closing price. The custom close is obtained by adding the volume delta to the closing price. The custom high is set as the maximum value between the closing price and the custom open, ensuring that the candle represents the highest value within the range. The custom low is set as the minimum value between the closing price and the custom open, ensuring that the candle represents the lowest value within the range.
Interpretation:
The indicator's custom candles provide visual insights into the volume delta. Each candlestick's color (lime for positive volume delta, fuchsia for negative volume delta) indicates the dominance of buying or selling pressure during that period. When the volume delta is positive, it suggests that buying volume exceeded selling volume, possibly indicating a bullish sentiment. Conversely, when the volume delta is negative, it indicates that selling volume was higher, potentially signaling a bearish sentiment. The indicator also plots a zero line to represent the equilibrium point, where buying and selling volumes are equal.
Potential Uses and Limitations:
Traders can use the indicator to gain insights into the strength and direction of buying and selling pressures. Positive volume delta during an uptrend could suggest the presence of strong buying interest, potentially supporting further bullish moves. On the other hand, negative volume delta during a downtrend could indicate intensified selling pressure, hinting at potential further declines. Traders might use the indicator in conjunction with other technical analysis tools, such as support and resistance levels, trendlines, or oscillators, to confirm potential reversal points or trend continuations.
It's essential to interpret the indicator in the context of the overall market environment. While volume delta can provide valuable insights into short-term buying and selling imbalances, it is just one aspect of market analysis. Traders should consider other factors, such as market structure, fundamental events, and overall sentiment, to make informed trading decisions. Additionally, the indicator's efficacy might vary across different market conditions, and it may produce false signals during low-volume periods or choppy markets.
Conclusion:
By visualizing volume delta through custom candlesticks, traders can gauge market sentiment and potentially identify key reversal or continuation points. As with any technical indicator, it is advisable to use the Volume Delta Candles in combination with other tools to gain a comprehensive understanding of market conditions and make well-informed trading choices. Additionally, traders should practice proper risk management techniques to protect their capital while using the indicator in their trading strategy.
Volume accumulation on past range [TCS] | VTAThe indicator calculates buy and sell volume values for different look-back periods based on the high, low, close, and tick volume data of the chart.
The range can be selected by adding the end date and the look-back period, which starts from the end date. It can calculate a maximum of 100 candlesticks.
The calculated buy and sell volume values are stored in separate variables, representing cumulative volume values over their respective look-back periods. It's important to note that the provided code calculates the buy and sell volume values individually for each look-back period and then sums them.
This information can be useful in understanding who is in control of the market during the selected range. The 'heatmap' is particularly helpful in identifying areas of high or low trading activity, which can help define support and resistance levels.
For example, if there is a greater accumulation of bullish volume than bearish volume and a break occurs in a resistance area, it may present a good entry opportunity.
Please note that this indicator is for educational purposes only and should not be used for trading without further testing and analysis.
Volume+The enhanced Volume+ Indicator is a valuable tool that builds upon the traditional Volume indicator by incorporating a technique known as linear prediction.
In traditional Volume analysis, the volume data for a bar is only known once the bar has closed. However, with the enhanced Volume+ Indicator, we utilize linear prediction to estimate the closing volume of the k-bar before it actually closes. This estimation is based on historical volume observed in the market.
By employing this indicator, traders and investors can gain an early insight into the potential volume of the current bar, even before it concludes. This can be particularly useful for those who wish to make informed decisions based on volume analysis and its impact on price movements.
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增强的Volume+指标是一个有价值的工具，它通过结合一种称为线性预测的技术建立在传统成交量指标的基础上。
在传统的成交量分析中，只有在柱线收盘后才能知道柱线的成交量数据。然而，通过增强的Volume+指标，我们利用线性预测来估计 k 柱实际收盘前的收盘成交量。该估计基于市场观察到的历史交易量。
通过使用该指标，交易者和投资者可以在k柱结束之前就尽早了解当前柱的潜在交易量。对于那些希望根据交易量分析及其对价格变动的影响做出明智决策的人来说，这尤其有用。
Custom Range Creator + Normalized Oscillators (Obv, Rsi, Mfi) Hello Traders!
Custom Range Creator is a specialized trading tool designed for traders who incorporate range analysis into their trading strategy.
Once you set the desired number of past candles or provide a manual input, the indicator will automatically draw a range for you. This unique feature allows you to customize the range based on the highest and lowest points within a specified number of bars, known as the "Dynamic Range." Furthermore, you have the flexibility to define up to three additional ranges manually using custom inputs. The lines and labels associated with these ranges can be fully customized in terms of style, color, and width to align with your personal preferences.
Dynamic Range Capabilities:
The indicator automatically generates a range by default, identifying the highest and lowest points within the last 200 bars. However, you have the ability to define the number of bars back by adjusting the setting in the menu. Moreover you can define the range based on either the wicks or the bodies of the candles.
The range includes the following components:
☀ Range High: The highest price point within the selected number of bars in the past
☀ Range Low: The lowest price point within the selected number of bars in the past
☀ Range Mid-Point: The calculated middle value between the Range High and Range Low
☀ First Quartile (Q1): The midpoint between the Range Low and the Range Mid-Point, effectively identifying the 25% level within the range
☀ Third Quartile (Q3): The midpoint between the Range Mid-Point and the Range High, identifying the 75% level within the range
By incorporating these critical levels within a price range, our Dynamic Range provides you with a comprehensive view of how the market evolves, enabling you to make more informed trading decisions.
Manual Ranges Capabilities:
In addition to the Dynamic Range, you can manually define up to three more ranges. By specifying your desired high and low price values as inputs, the system automatically draws the range based on your inputs. Once drawn, you can further adjust the range using the bar offset option, which allows you to shift the entire range backward or forward by a specified number of bars.
Each manually defined range includes the following components:
☀ Range High: Your user-defined highest price point
☀ Range Low: Your user-defined lowest price point
☀ Range Mid-Point: The calculated middle value between the Range High and Range Low
☀ First Quartile (Q1): The midpoint between the Range Low and the Range Mid-Point, identifying the 25% level within the range
☀ Third Quartile (Q3): The midpoint between the Range Mid-Point and the Range High, identifying the 75% level within the range
This allows you to precisely define your desired price range and visually represent it on the chart. The customizable manual ranges provide you with a powerful tool for analyzing price dynamics and identifying potential support and resistance levels.
Both Dynamic Range and Manual Ranges Capabilities:
a) Timeframe-Adaptive: This indicator dynamically adjusts to your selected timeframe. Whether you are a day trader or a long-term investor, this tool adapts to meet your needs.
b) Complete Customization: You have the flexibility to customize every aspect of "Custom Range Indicator". You can modify the color, style, and width of each of the five lines to seamlessly integrate them into your chart setup. Choose from various line styles, including solid, dashed, or dotted, and select colors that suit your visual preferences. Additionally, you can customize the color and text of the labels. Additionally, you can utilize the bar offset option to fine-tune the placement of the range within your analysis.
c) Hide Lines and Labels: You have the option to hide each line or label of the range individually, or hide the entire range with labels or without labels. This customization feature allows you to focus on specific aspects of the chart and declutter the visual representation of the ranges when needed.
Normalized Oscillators
Normalization is a process applied in data handling and statistics, and in the context of trading indicators, it can be incredibly useful. Trading indicators such as Volume, the Relative Strength Index (RSI), the Money Flow Index (MFI), and On Balance Volume (OBV), often vary in their range and scale.
Normalization adjusts these values to fit within a specific range, making different indicators directly comparable and aiding in the interpretation of their relationship and impact on price action. This can offer additional insights for traders, making it easier to identify trends, patterns, and potential trading signals across different indicators.
This indicator offers a selection of three oscillators to normalize and Volume Data:
☀Volume: The amount of a particular asset that is traded within a particular period.
☀Relative Strength Index (RSI): A momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in a market.
☀Money Flow Index (MFI): A momentum indicator that uses price and volume data to identify overbought or oversold signals in an asset.
☀On Balance Volume (OBV): A technical trading momentum indicator that uses volume flow to predict changes in price. It does this by cumulatively adding volume on days when the price increases, and subtracting volume on days when the price decreases.
This script also offers aesthetic customizations for the plot, which can enhance readability and visual appeal:
✔"Plot Color": This input lets users select the color of the plotted line on the chart, allowing for personalization and better visual differentiation when multiple indicators are used.
✔"Plot Width": Users can also adjust the thickness of the plotted line, enhancing visibility based on individual preference or screen resolution.
Why is useful the Normalization?
Normalization plays a crucial role in trading as it helps bring together diverse sets of information to support more informed decision-making. For instance, observing the correlation between the price chart and oscillators like On Balance Volume (OBV) near range levels can provide valuable insights.
Consider this example using a daily (1D) Ethereum (ETH) chart:
We observe that the price is at a Range Quarter, making a higher high while the OBV makes a higher low. This scenario presents a significant degree of confluence. The price is at a critical range level and there is a bearish divergence between the OBV and the price. Such confluence often indicates a potential shift in market dynamics, and as observed, the price trends lower subsequently.
Below is the same scenario represented on a linear chart, providing a clearer visualization:
Normalization enables us to make these comparisons more accurately, ultimately leading to more reliable trading signals and better trading outcomes. By adjusting the scale of various indicators to a standard range, traders can directly compare and correlate them to price action, making it easier to spot trends, divergences, and other key market patterns.
Keep attention!
It is important to note that no trading indicator or strategy is foolproof, and there is always a risk of losses in trading. While this indicator may provide useful information for making conclusions, it should not be used as the sole basis for making trading decisions. Traders should always use proper risk management techniques and consider multiple factors when making trading decisions.
CVD+ - Multi Symbol Cumulative Volume DeltaEdit of TradingView's LTF CVD
TradingView's CVD is already the most accurate CVD on the platform because of the LTF data. The purpose of the edit is to provide the ability to compare volume flow between multiple exchanges, futures & spot, multiple symbols or any other potential use case. All in single layout or even a single pane.
Added features:
- Option to manually select a symbol from which to calculate the LTF CVD
- Option to normalize the selected symbol's CVD to the chart's symbol's CVD (Useful when you want to compare futures and spot on the same pane)
- Label that displays the selected symbol's name and exchange
- Changed presets to plot the CVD line as the predetermined option
All of TV's original features remain the same.
Liquidity PeaksThe "Liquidity Peaks" indicator is a tool designed to identify significant supply and demand zones based on volumetric analysis. It analyzes the volume profile within a specified lookback range to pinpoint the most volumetric point and draw corresponding zones on the price chart.
The 𝐋𝐢𝐪. 𝐏𝐞𝐚𝐤𝐬 indicator utilizes volume data to identify key supply and demand areas on the price chart. By examining the volume profile within a defined lookback range, it highlights three distinct zones: liquidity grab, volume containment, and the most volumetric point.
Zones and their meanings:
Liquidity grab (Orange box): This zone represents a price level where there is a significant swipe of the previous demand zone within the volume range. It indicates a potential shift in market sentiment and serves as a key supply or demand area.
Volume containment (Gray box): This zone displays the area of volume contained before the peak in volume. It provides insights into the range where buying or selling pressure was concentrated, highlighting potential support or resistance levels.
Most volumetric point (Light blue box): This zone represents the point within the lookback range that exhibits the highest volume. It signifies a significant area of market interest and indicates a potential supply or demand level.
Adjustable options:
Adjust liquidity Grab: This option allows you to adjust the size of the boxes. When enabled, the box size is set to twice the size of the high or low of the candle's wick. This adjustment enhances the visibility and accuracy of identifying swipes at specific price levels.
Show origin: Enabling this option ensures that the liquidity boxes are drawn from the wick they were created from. This provides a clear visual reference to the specific candle and highlights the liquidity levels associated with it.
Utility:
The 𝐋𝐢𝐪. 𝐏𝐞𝐚𝐤𝐬 indicator is a valuable tool for traders and investors seeking to identify significant supply and demand zones in the market. By analyzing volume data and drawing corresponding zones on the chart, it helps to pinpoint areas where buying or selling pressure is likely to emerge.
Traders can utilize this information to identify potential support and resistance levels, plan their entries and exits, and make more informed trading decisions. The liquidity grab zones can act as potential reversal or breakout points, while the volume containment zones and most volumetric points provide insights into areas of high market interest.
It is important to note that this indicator should be used in conjunction with other technical analysis tools and indicators to confirm trading signals and validate market dynamics.
Example Charts:
Volume Orderbook (Expo)█ Overview
The Volume Orderbook indicator is a volume analysis tool that visually resembles an order book. It's used for displaying trading volume data in a way that may be easier to interpret or more intuitive for certain traders, especially those familiar with order book analysis.
This indicator aggregate and display the total trading volume at different price levels over the entire range of data available on the chart, similar to how an order book displays current buy and sell orders at different price levels. However, unlike a real-time order book, it only considers historical trading data, not current bid and ask orders. This provides a 'historical order book' of sorts, indicating where most trading activities have taken place.
Summary
This is a volume-based indicator that shows the volume traded at specific price levels, highlighting areas of high and low activity.
█ Calculations
The algorithm operates by calculating the cumulative volume traded in each specific price zone within the range of data displayed on the chart. The length of each horizontal bar corresponds to the total volume of trades that occurred within that particular price zone.
In essence, when the price is in a specific zone, the volume is added to the bar representing that zone. A thicker bar implies a larger price zone, meaning that more volume is accumulated within that bar. Therefore, the thickness of the bar visually indicates the amount of trading activity that took place within the associated price zone.
█ How to use
The Volume Orderbook indicator serves as a beneficial tool for traders by identifying key price levels with a significant amount of trading activity. These high-volume areas could represent potential support or resistance levels due to the large number of orders situated there. The indicator's ability to spotlight these zones might be particularly advantageous in pinpointing breakouts or breakdowns when prices move beyond these high-volume regions. Moreover, the indicator could also assist traders in recognizing anomalies, such as when an unusually large volume of trades occurs at unconventional price levels.
Identify Key Price Levels: The indicator highlights high-volume areas where a significant number of trades have occurred, which could act as potential support or resistance levels. This is based on the notion that many traders have established positions at these prices, so these levels may serve as significant areas for market activity in the future.
Volume Nodes: These are the peaks (high-volume areas) and troughs (low-volume areas) seen on the indicator. High-volume nodes represent price levels at which a large amount of volume has been traded, typically areas of strong support or resistance. Conversely, low-volume nodes, where very little volume has been traded, indicate price levels that traders have shown little interest in the past and could potentially act as barriers to price. It's important to note that while high trading volume can imply significant market interest, it doesn't always mean the price will stop or reverse at these levels. Sometimes, prices can quickly move through high-volume areas if there are no current orders (demand) to match with the new orders (supply).
Analyze Market Psychology: The distribution of volume across different price levels can provide insights into the market's psychology, revealing the balance of power between buyers and sellers.
Highlight Potential Reversal Points: The indicator can help identify price levels with high traded volume where the market might be more likely to reverse since these levels have previously attracted significant interest from traders.
Validate Breakouts or Breakdowns: If the price moves convincingly past a high-volume node, it could indicate a strong trend, suggesting a potential breakout or breakdown. Conversely, if the price struggles to move past a high-volume node, it could suggest that the trend is weak and might potentially reverse.
Trade Reversals: High-volume areas could also indicate potential turning points in the market. If the price reaches these levels and then starts to move away, it might suggest a possible price reversal.
Confirm Other Signals: As with all technical indicators, the "Volume Orderbook" should ideally be used in conjunction with other forms of technical and fundamental analysis to confirm signals and increase the odds of successful trades.
Summary
The Volume Orderbook indicator allows traders to identify key price levels, analyze market psychology, highlight potential reversal points, validate breakouts or breakdowns, confirm other trading signals, and anticipate possible trade reversals, thereby serving as a robust tool for trading analysis.
█ Settings
Source: The user can select the source, the default of which is "close." This implies that volume is added to the volume order book when the closing price falls within a specific zone. Users can modify this to any indicator present on their chart. For example, if it's set to an SMA (Simple Moving Average) of 20, the volume will be added to the volume order book when the SMA 20 falls within the specific zone.
Rows and width: These settings allow users to adjust the representation of volume order book zones. "ROWS" pertains to the number of volume order book zones displayed, while "WIDTH" refers to the breadth of each zone.
Table and Grid: These settings allow traders to customize the Volume order-book's position and appearance. By adjusting the "left" parameter, users can shift the position of the Volume order book on the chart; a higher value pushes the order book further to the right. Additionally, users can enable "Table Border" and "Table Grid" options to add gridlines or borders to the Volume order book for easier viewing and interpretation.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
RSI Trend Transform [wbburgin]The RSI Trend Transform indicator is a dual-concept indicator that transforms volume data and price data into two different RSI values, which can then be used together to determine trend strength and momentum. The volume RSI does not use any price data in its calculation - it is purely a transform from nondirectional volume into a directional indicator.
The RSI for all three RSI values (price, volume,combined average) can be plotted as either stochastic or normal. The RSI calculation is adapted for use on volume, which is why the normal ta.rsi() function is not used for the price RSI calculation; both use the same formula for indicator consistency.
How to Use the Indicator
In the examples below, the Price RSI is plotted in yellow and the Volume RSI is plotted in red (length = 200, which is why the indicator is large in these examples). The indicator can be used on any timeframe and any asset, provided volume data is provided by the vendor to TradingView.
Identifying Bullish Trends
A rising volume RSI with a rising price RSI signifies a bullish trend. Example 1:
Example 2:
You can use the combined RSI (the average of the volume RSI and the price RSI) to help with the identification of these trends:
Identifying Bearish Trends
A falling volume RSI with a falling price RSI signifies a bearish trend:
Example 2:
Settings
Source is the source of the price RSI, the volume RSI will by default use volume in its calculations. If you have other indicators on-chart, you could even use the ATR, a volatility indicator, or any nondirectional or directional indicator and transform it into the "price" RSI.
Length is both the length of the RSI and the stochastic.
The next three rows are for each RSI you can plot on the indicator: price RSI, volume RSI, and combined RSI (average of price and volume). The first checkbox plots/removes them from the chart, you can subsequently choose the type of RSI (regular or stochastic), the color of the plot, and the length of the EMA smoothing applied afterward to the plot.
Upper Band and Lower Band refer to the overbought and oversold lines, respectively.
A note about the combined RSI- you will be unable to spot divergences if the combined RSI is the only plot on the indicator, so I encourage you to use the combined RSI as a way to confirm the overall trend if you notice the price RSI and the volume RSI and trending similarly.
Powertrend - Volume Range Filter Strategy [wbburgin]The Powertrend is a range filter that is based off of volume, instead of price. This helps the range filter capture trends more accurately than a price-based range filter, because the range filter will update itself from changes in volume instead of changes in price. In certain scenarios this means that the Powertrend will be more profitable than a normal range filter.
Essentials of the Strategy
This is a breakout strategy which works best on trending assets with high volume and liquidity. It should be used on middle to higher timeframes and can be used on all assets that have volume provided by the data source (stocks, crypto, forex). It is long-only as of now. It can work on lower timeframes if you optimize the strategy filters to make less trades or if your exchange/broker is low/no fees, provided that your exchange/broker has high liquidity and volume.
The strategy enters a long position if the range filter is trending upwards and the price crosses over the upper range band, which signifies a price-volume breakout. The strategy closes the long position if the range filter is trending downwards and the price crosses under the lower range band, which signifies a breakdown. Both these conditions can be altered by the three filter options in the settings. The default trend filter is not alterable because it helps prevent false entries and exits that are against the trend.
Settings
The Length setting is the lookback period for the range smoothing.
The ADX Filter setting enables you to turn on an ADX filter, which will halt entries and exits unless the ADX of your customizable length is above a ADX VWMA of that length.
The Range Supertrend setting creates a supertrend from the top and bottom ranges, which can be used to filter entries and exits. The length is customizable. The filter can show you whether the range is making higher highs and lower lows. Below is an example of the Range Supertrend being used as a filter and plotted on-chart:
The VWMA setting halts entries if they are below a customizable length VWMA.
Both the Range Supertrend and the VWMA can also be plotted separately without actually filtering the strategy, so that you can use them independently if you wish. You can turn off the bar color, the highlighting, and the labels if you wish in the settings. A note about the bar color: if the color changes but the strategy does not signal an exit or entry this means that the crossover was against the trend. In these circumstances it may be indicative of a pullback to enter or exit or to add onto your position.
About the Strategy Results Below
A range filter is normally composed of two components - the range filter itself and a smoothing function. In the development of this script I tested both normal and volume-based varieties of the range filter and the smoothing function:
Tests Performed
Volume-based Range x VWMA smoothing
Price-based Range x VWMA smoothing
Price-based Range x EMA smoothing
Volume-based Range x EMA smoothing (final result)
The highest-performing was a volume-based range filter and a normal EMA-based smoothing function, but that does not mean that this strategy will be profitable - exits are based off of signal reversion so I strongly encourage you to develop your own take profits/stop losses for the strategy if you think it may be a good fit for you. The results below are with a commission value of 0.05% (because I built the strategy first for equities), slippage of 3, so if your exchange/broker has a higher fee schedule, I recommend adding filters and/or moving to higher timeframes for the strategy. Additionally, I used 10% of equity in each trade, while using the Range Supertrend filter (the previous upload was unrealistic because it used 100% of equity - missed a 0, apologies, and added in slippage).
REVE Cohorts - Range Extension Volume Expansion CohortsREVE Cohorts stands for Range Extensions Volume Expansions Cohorts.
Volume is divided in four cohorts, these are depicted in the middle band with colors and histogram spikes.
0-80 percent i.e. low volumes; these get a green color and a narrow histogram bar
80-120 percent, normal volumes, these get a blue color and a narrow histogram bar
120-200 percent, high volume, these get an orange color and a wide histogram bar
200 and more percent is extreme volume, maroon color and wide bar.
All histogram bars have the same length. They point to the exact candle where the volume occurs.
Range is divided in two cohorts, these are depicted as candles above and below the middle band.
0-120 percent: small and normal range, depicted as single size, square candles
120 percent and more, wide range depicted as double size, rectangular candles.
The range candles are placed and colored according to the Advanced Price Algorithm (published script). If the trend is up, the candles are in the uptrend area, which is above the volume band, , downtrend candles below in the downtrend area. Dark blue candles depict a price movement which confirms the uptrend, these are of course in the uptrend area. In this area are also light red candles with a blue border, these depict a faltering price movement countering the uptrend. In the downtrend area, which is below the volume band, are red candles which depict a price movement confirming the downtrend and light blue candles with a red border depicting price movement countering the downtrend. A trend in the Advanced Price Algorithm is in equal to the direction of a simple moving average with the same lookback. The indicator has the same lagging.as this SMA.
Signals are placed in the vacated spaces, e.g. during an uptrend the downtrend area is vacated.
There are six signals, which arise as follows:
1 Two blue triangles up on top of each other: high or extreme volume in combination with wide range confirming uptrend. This indicates strong and effective up pressure in uptrend
2 Two pink tringles down on top of each other: high or extreme volume in combination with wide range down confirming downtrend. This indicates strong and effective down pressure in downtrend
3 Blue square above pink down triangle down: extreme volume in combination with wide range countering uptrend. This indicates a change of heart, down trend is imminent, e.g. during a reversal pattern. Down Pressure in uptrend
4 Pink square below blue triangle up: extreme volume in combination with wide range countering downtrend. This indicates a change of heart, reversal to uptrend is imminent. Up Pressure in downtrend
5 single blue square: a. extreme volume in combination with small range confirming uptrend, b. extreme volume in combination with small range countering downtrend, c. high volume in combination with wide range countering uptrend. This indicates halting upward price movement, occurs often at tops or during distribution periods. Unresolved pressure in uptrend
6 Single pink square: a extreme volume in combination with small range confirming downtrend, b extreme volume in combination with small range countering uptrend, c high volume in combination with wide range countering downtrend. This indicated halting downward price movement. Occurs often at bottoms or during accumulation periods. Unresolved pressure in downtrend.
The signals 5 and 6 are introduced to prevent flipping of signals into their opposite when the lookback is changed. Now signals may only change from unresolved in directional or vice versa. Signals 3 and 4 were introduced to make sure that all occurrences of extreme volume will result in a signal. Occurrences of wide volume only partly lead to a signal.
Use of REVE Cohorts.
This is the indicator for volume-range analyses that I always wanted to have. Now that I managed to create it, I put it in all my charts, it is often the first part I look at, In my momentum investment system I use it primarily in the layout for following open positions. It helps me a lot to decide whether to close or hold a position. The advantage over my previous attempts to create a REVE indicator (published scripts), is that this version is concise because it reports and classifies all possible volumes and ranges, you see periods of drying out of volume, sequences of falter candles, occurrences of high morning volume, warning and confirming signals.. The assessment by script whether some volume should be considered low, normal, high or extreme gives an edge over using the standard volume bars.
Settings of REVE Cohorts
The default setting for lookback is ‘script sets lookback’ I put this in my indicators because I want them harmonized, the script sets lookback according to timeframe. The tooltip informs which lookback will be set at which timeframe, you can enable a feedback label to show the current lookback. If you switch ‘script sets lookback’ off, you can set your own preferred user lookback. The script self-adapts its settings in such a way that it will show up from the very first bar of historical chart data, it adds volume starting at the fourth bar.
You can switch off volume cohorts, only range candles will show while the middle band disappears. Signals will remain if volume is present in the data. Some Instruments have no volume data, e.g. SPX-S&P 500 Index,, then only range candles will be shown.
Colors can be adapted in the inputs. Because the script calculates matching colors with more transparency it is advised to use 100 percent opacity in these settings.
Take care, Eykpunter
Ultimate Volume Custom ScreenerThis indicator will allow you to make your custom volume TradingView screener without coding. Add it to the chart, and select up to 40 symbols and up to five indicators. The screener will do the rest for you. The indicator will form a lovely table with all values and highlighted signals. It allows also to filter symbols based on the values of indicators and sends results as an alert.
The screener is highly customizable, and you can choose its position on the chart, sorting, order of the columns, colors for the tables, and all signals separately. You can easily change parameters for all supported indicators.
Supported indicators
Currently, there are 15 different custom indicators available. Current list of indicators:
Accumulation/Distribution (Acm/Dst)
Chaikin Money Flow (CMF)
Ease of Movement (EOM)
Klinger Oscillator (KO)
Money Flow Index (MFI)
Negative Volume Index (NVI)
On Balance Volume (OBV)
Positive Volume Index (PVI)
Price
Price-Volume Trend (PVT)
Volume
Volume MA (VMA)
Volume Percentile (V-Prct)
Volume RSI (V-RSI)
Volume Weighted Average Price (VWAP)
We're already working on adding a few more supported indicators. If you have any ideas about the indicators you want to see in our screener, contact us, and we'll consider them.
Filters
You can combine up to 5 filters on all selected indicators.
This will split the screen table into two parts. The top one will contain symbols that satisfy all conditions:
Alerts
You can also create an alert and receive a filtered symbol at the end of every bar.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
OSPL Volume [Community Edition]NSE:BANKNIFTY1!
This indicator is based on the concepts popularized by @OptionsScalper123 "Siva" of OiPulse. His ideology Is that large moves come after high volume candles. For Nifty, high volume is considered to be a candle above 125k volume and for BankNifty it’s 50k.
This indicator allows you to cut the noise and focus only on the high volume candle. It shows high volume candle in a brighter shade and lower volume candles in a less visible shade.
You can set the minimum volume threshold limit for Nifty and BankNifty. The indicator smartly recognizes which index you are using it in and uses the respective threshold volume limit.
All colors are customizable.
Thanks for Siva for all the ideas and wonderful products he has given to the community
Thanks to all the wonderful Pinescipters for developing awesome indicators and keeping the source open.
The source code of this indicator is just a few lines. Hope you can use it in your projects and learn something from this just how I learned from other scripts.
Any changes or updates needed in this indicator, please suggest. I was thinking some kind of alerts can be added when volume crosses the threshold. Let me know.
Boost/like this indicator and comment if you find this useful. Cheers and happy trading!!!
Normalized Volume Rate of ChangeThis indicator is designed to help traders gauge changes in volume dynamics and identify potential shifts in buying or selling pressure. By normalizing the volume rate of change and comparing it to moving averages of itself, it offers valuable insights into market trends and can assist in making informed trading decisions.
Calculation:
The indicator calculates the Volume Rate of Change (VROC) by measuring the percentage change in volume over a specified length. This calculation provides a relative measure of how quickly the volume is increasing or decreasing. It then normalizes the VROC to a range of -1 to +1 by scaling it based on the highest and lowest values observed within the specified length. This normalization allows for easy comparison of the current VROC value with historical levels, enabling traders to assess the intensity of volume fluctuations.
Interpretation:
The main plot of the indicator displays the normalized VROC values as columns. The color of each column provides valuable information about the relationship between the VROC and the moving averages. Lime-colored columns indicate that the VROC is above both moving averages, suggesting increased buying pressure and potential bullish sentiment. Conversely, fuchsia-colored columns indicate that the VROC is below both moving averages, suggesting increased selling pressure and potential bearish sentiment. Yellow-colored columns indicate that the VROC is between the two moving averages, reflecting a period of consolidation or indecision in the market.
To further enhance interpretation, the indicator includes two moving averages. The Aqua line represents the faster moving average (MA1), and the Orange line represents the slower moving average (MA2). These moving averages provide additional context by smoothing out the VROC values and highlighting the overall trend. Traders can observe the interaction between the moving averages and the VROC to identify potential crossovers and assess the strength of trend reversals or continuations.
Colors:
-- Lime : The lime color is used to represent high volume rate of change above both moving averages. This color indicates a potentially bullish market sentiment, suggesting that buyers are dominant.
-- Fuchsia : The fuchsia color is used to represent low volume rate of change below both moving averages. This color indicates a potentially bearish market sentiment, suggesting that sellers are dominant.
-- Yellow : The yellow color is used to represent the volume rate of change between the two moving averages. This color reflects a transitional phase where neither buyers nor sellers have a clear advantage, signaling a period of consolidation or indecision in the market.
To provide additional visual cues for potential trade signals, the indicator includes lime-colored arrows below the price chart when there is a crossover upwards (MA1 crossing above MA2). This lime arrow indicates a potential bullish signal, suggesting a favorable time to consider long positions. Similarly, fuchsia-colored arrows are displayed above the price chart when there is a crossover downwards (MA1 crossing below MA2), signaling a potential bearish signal and suggesting a favorable time to consider short positions.
Applications:
This indicator offers various applications in trading strategies, including:
-- Trend Identification : By observing the relationship between the normalized VROC and the moving averages, traders can identify potential shifts in market trends. Lime-colored columns above both moving averages indicate a strong bullish trend, suggesting an opportunity to capitalize on upward price movements. Conversely, fuchsia-colored columns below both moving averages indicate a strong bearish trend, suggesting an opportunity to profit from downward price movements. Yellow-colored columns between the moving averages indicate a period of consolidation or uncertainty, signaling a potential trend reversal or continuation.
-- Confirmation of Price Moves : The indicator's ability to reflect volume dynamics in relation to the moving averages can help traders validate price moves. When significant price movements are accompanied by lime-colored columns (indicating high volume rate of change above both moving averages), it adds confirmation to the bullish sentiment. Similarly, fuchsia-colored columns accompanying downward price movements validate the bearish sentiment. This confirmation can enhance traders' confidence in the reliability of price moves.
-- Trade Timing : The indicator's moving average crossovers and the presence of arrows provide timing signals for trade entries and exits. Lime arrows appearing below the price chart signal potential long entry opportunities, indicating a bullish market sentiment. Conversely, fuchsia arrows appearing above the price chart suggest potential short entry opportunities, indicating a bearish market sentiment. These signals can be used in conjunction with other technical analysis tools to improve trade timing and increase the probability of successful trades.
Parameter Adjustments:
Traders can adjust the length of the VROC and the moving averages according to their trading preferences and timeframes. Longer VROC lengths provide a broader view of volume dynamics over an extended period, making it suitable for assessing long-term trends. Shorter VROC lengths offer a more sensitive measure of recent volume changes, making it suitable for shorter-term analysis. Similarly, adjusting the lengths of the moving averages can help adapt the indicator to different market conditions and trading styles.
Limitations:
While the indicator provides valuable insights, it has some limitations that traders should be aware of:
-- False Signals : Like any technical indicator, false signals can occur. During periods of low liquidity or in choppy markets, the indicator may generate misleading signals. It is essential to consider other indicators, price action, and fundamental analysis to confirm the signals before taking any trading actions.
-- Lagging Nature : Moving averages inherently lag behind the price action and volume changes. As a result, there may be a delay in the generation of signals and capturing trend reversals. Traders should exercise patience and avoid solely relying on this indicator for immediate trade decisions. Combining it with other indicators and tools can provide a more comprehensive picture of market conditions.
In conclusion, this indicator offers valuable insights into volume dynamics and trend analysis. By comparing the normalized VROC with moving averages, traders can identify shifts in buying or selling pressure, validate price moves, and improve trade timing. However, it is important to consider its limitations and use it in conjunction with other technical analysis tools to form a well-rounded trading strategy. Additionally, thorough testing, experimentation, and customization of the indicator's parameters are recommended to align it with individual trading preferences and market conditions.
Stochastic Momentum Channel with Volume Filter [IkkeOmar]A stochastic version of my momentum channel volume filter
The "Stochastic Momentum" indicator combines the concepts of Stochastic and Bollinger Bands to provide insights into price momentum and potential trend reversals. It can be used to identify overbought and oversold conditions, as well as potential bullish and bearish signals.
The indicator calculates a Stochastic RSI using the RSI (Relative Strength Index) of a given price source. It applies smoothing to the Stochastic RSI values using moving averages to generate two lines: the %K line and the %D line. The %K line represents the current momentum, while the %D line represents a filtered version of the momentum.
Additionally, the indicator plots Bollinger Bands around the moving average of the Stochastic RSI. The upper and lower bands represent levels where the price is considered relatively high or low compared to its recent volatility. The distance between the bands reflects the current market volatility.
Here's how the indicator can be interpreted:
Stochastic Momentum (%K and %D lines):
When the %K line crosses above the %D line, it suggests a potential upward move or bullish momentum.
When the %K line crosses below the %D line, it indicates a potential downward move or bearish momentum.
The color of the plot changes based on the relationship between the %K and %D lines. Green indicates %K > %D, while red indicates %K < %D.
Bollinger Bands (Upper and Lower Bands):
When the price crosses above the upper band, it suggests an overbought condition, indicating a potential reversal or pullback.
When the price crosses below the lower band, it suggests an oversold condition, indicating a potential reversal or bounce.
To identify potential upward moves, consider the following conditions:
If the price is not in a contraction phase (the bands are not narrowing), and the price crosses above the lower band, it may signal a potential upward move or bounce.
If the %K line crosses above the %D line while the %K line is below the upper band, it may indicate a potential upward move.
To identify potential downward moves, consider the following conditions:
If the price is not in a contraction phase (the bands are not narrowing), and the price crosses below the upper band, it may signal a potential downward move or pullback.
If the %K line crosses below the %D line while the %K line is above the lower band, it may indicate a potential downward move.
Code explanation
Input Variables:
The input function is used to create customizable input variables that can be adjusted by the user.
smoothK and smoothD are inputs for the smoothing periods of the %K and %D lines, respectively.
lengthRSI represents the length of the RSI calculation.
lengthStoch is the length parameter for the stochastic calculation.
volumeFilterLength determines the length of the volume filter used to filter the RSI.
Source Definition:
The src variable is an input that defines the price source used for the calculations.
By default, the close price is used, but the user can choose a different price source.
RSI Calculation:
The rsi1 variable calculates the RSI using the ta.rsi function.
The RSI is a popular oscillator that measures the strength and speed of price movements.
It is calculated based on the average gain and average loss over a specified period.
In this case, the RSI is calculated using the src price source and the lengthRSI parameter.
Volume Filter:
The code calculates a volume filter to filter the RSI values based on the average volume.
The volumeAvg variable calculates the simple moving average of the volume over a specified period (volumeFilterLength).
The filteredRsi variable stores the RSI values that meet the condition of having a volume greater than or equal to the average volume (volume >= volumeAvg).
Stochastic Calculation:
The k variable calculates the %K line of the Stochastic RSI using the ta.stoch function.
The ta.stoch function takes the filtered RSI values (filteredRsi) as inputs and calculates the %K line based on the length parameter (lengthStoch).
The smoothK parameter is used to smooth the %K line by applying a moving average.
The d variable represents the %D line, which is a smoothed version of the %K line obtained by applying another moving average with a period defined by smoothD.
Momentum Calculation:
The kd variable calculates the average of the %K and %D lines, representing the momentum of the Stochastic RSI.
Bollinger Bands Calculation:
The ma variable calculates the moving average of the momentum values (kd) using the ta.sma function with a period defined by bandLength.
The offs variable calculates the offset by multiplying the standard deviation of the momentum values with a factor of 1.6185.
The up and dn variables represent the upper and lower bands, respectively, by adding and subtracting the offset from the moving average.
The Bollinger Bands provide a measure of volatility and can indicate potential overbought and oversold conditions.
Color Assignments:
The colors for the plot and Bollinger Bands are assigned based on certain conditions.
If the %K line is greater than the %D line, the plotCol variable is set to green. Otherwise, it is set to red.
The upCol and dnCol variables are set to different colors based on whether the fast moving average (fastMA) is above or below the upper and lower bands, respectively.
Plotting:
The Stochastic Momentum (%K) is plotted using the plot function with the assigned color (plotCol).
The upper and lower Bollinger Bands are plotted using the plot function with the respective colors (upCol and dnCol).
The fast moving average (fastMA) is plotted in black color to distinguish it from the bands.
The hline function is used to plot horizontal lines representing the upper and lower bands of the Stochastic Momentum.
The code combines the Stochastic RSI, Bollinger Bands, and color logic to provide visual representations of momentum and potential trend reversals. It allows traders to observe the interaction between the Stochastic Momentum lines, the Bollinger Bands, and price movements, enabling them to make informed trading decisions.
ETN - Volume CandleHighlights candlestick based on volume data.
Indicator looks back and analyzing volume to find the volume bar with the largest numerical value
Indicator highlights the corresponding candlestick .
Indicator marks the high and low of that candlestick.
Users can adjust lookback period. Default is set to 50 .
Users can adjust how the indicator plots the high and low.
I currently have the high and low not being displayed on the charts until I come up with a better version.
On my chart, indicator colored the candlesticks YELLOW.
PriceCatch-Intraday VolumeHi TV Community,
Greetings to you.
This is a script that may be of use to intra-day traders. Knowing how much volume is getting traded and in which direction can help with decision-making in trading - especially when trading Futures.
So, this script, displays volume, number of candles and trades on intra-day time-frames.
FUTURES CHART
NOTE: The instrument must contain volume information for this script to work.
Number of trades will be accurate on Futures Chart because Volume / lot-size will give number of trades on a specific time-interval. For cash chart, please ignore this value.
Please use this script on Intra-day time-frame only.
Hope this script may be of use to you. All the best.
Comments/queries welcome.
PriceCatch
PS: As always with trading you and you alone are responsible for your actions and the profits/losses resulting from your trading activity.
1 min Volume Flow Indicator (VFI) with EMA ribbonOriginally Markos Katsanos' indicator that LazyBear made popular here on TW. Now updated to Pine Script version 5, which makes multi-timeframe charting easier.
The initial Katsanos' idea for the indicator is the following:
"The VFI is based on the popular On Balance Volume (OBV) but with three very important modifications:
Unlike the OBV, indicator values are no longer meaningless. Positive readings are bullish and negative bearish.
The calculation is based on the day’s median instead of the closing price.
A volatility threshold takes into account minimal price changes and another threshold eliminates excessive volume. ...
A simplified interpretation of the VFI is that values above zero indicate a bullish state and the crossing of the zero line is the trigger or buy signal.
The strongest signal with all money flow indicators is of course divergence.
The classic form of divergence is when the indicator refuses to follow the price action and makes lower highs while price makes higher highs (negative divergence). If price reaches a new low but the indicator fails to do so, then price probably traveled lower than it should have. In this instance, you have positive divergence."
I set up default settings for intraday trading I personally have found the most useful. And what I have found useful is how and which volume flows in and out on 1 min chart. For 1 min volume flow I find it convenient to have specific EMAs as guidance: 360, 720, 1440, 2160, 2880, 3600, 4320 -- the logic is derived from how many minutes there are per specific hours and days. Since short term trends typically last for three days, 1440 and 4320 EMAs are the ones I myself concentrate the most. That is to say, quite often 1min volume flow pivots around 1440 and 4320 EMAs.
If you want to see 1 min volume flow on some other timeframe than 1 min, change the timeframe in the settings.
T3 JMA KAMA VWMAEnhancing Trading Performance with T3 JMA KAMA VWMA Indicator
Introduction
In the dynamic world of trading, staying ahead of market trends and capitalizing on volume-driven opportunities can greatly influence trading performance. To address this, we have developed the T3 JMA KAMA VWMA Indicator, an innovative tool that modifies the traditional Volume Weighted Moving Average (VWMA) formula to increase responsiveness and exploit high-volume market conditions for optimal position entry. This article delves into the idea behind this modification and how it can benefit traders seeking to gain an edge in the market.
The Idea Behind the Modification
The core concept behind modifying the VWMA formula is to leverage more responsive moving averages (MAs) that align with high-volume market activity. Traditional VWMA utilizes the Simple Moving Average (SMA) as the basis for calculating the weighted average. While the SMA is effective in providing a smoothed perspective of price movements, it may lack the desired responsiveness to capitalize on short-term volume-driven opportunities.
To address this limitation, our T3 JMA KAMA VWMA Indicator incorporates three advanced moving averages: T3, JMA, and KAMA. These MAs offer enhanced responsiveness, allowing traders to react swiftly to changing market conditions influenced by volume.
T3 (T3 New and T3 Normal):
The T3 moving average, one of the components of our indicator, applies a proprietary algorithm that provides smoother and more responsive trend signals. By utilizing T3, we ensure that the VWMA calculation aligns with the dynamic nature of high-volume markets, enabling traders to capture price movements accurately.
JMA (Jurik Moving Average):
The JMA component further enhances the indicator's responsiveness by incorporating phase shifting and power adjustment. This adaptive approach ensures that the moving average remains sensitive to changes in volume and price dynamics. As a result, traders can identify turning points and anticipate potential trend reversals, precisely timing their position entries.
KAMA (Kaufman's Adaptive Moving Average):
KAMA is an adaptive moving average designed to dynamically adjust its sensitivity based on market conditions. By incorporating KAMA into our VWMA modification, we ensure that the moving average adapts to varying volume levels and captures the essence of volume-driven price movements. Traders can confidently enter positions during periods of high trading volume, aligning their strategies with market activity.
Benefits and Usage
The modified T3 JMA KAMA VWMA Indicator offers several advantages to traders looking to exploit high-volume market conditions for position entry:
Increased Responsiveness: By incorporating more responsive moving averages, the indicator enables traders to react quickly to changes in volume and capture short-term opportunities more effectively.
Enhanced Entry Timing: The modified VWMA aligns with high-volume periods, allowing traders to enter positions precisely during price movements influenced by significant trading activity.
Improved Accuracy: The combination of T3, JMA, and KAMA within the VWMA formula enhances the accuracy of trend identification, reversals, and overall market analysis.
Comprehensive Market Insights: The T3 JMA KAMA VWMA Indicator provides a holistic view of market conditions by considering both price and volume dynamics. This comprehensive perspective helps traders make informed decisions.
Analysis and Interpretation
The modified VWMA formula with T3, JMA, and KAMA offers traders a valuable tool for analyzing volume-driven market conditions. By incorporating these advanced moving averages into the VWMA calculation, the indicator becomes more responsive to changes in volume, potentially providing deeper insights into price movements.
When analyzing the modified VWMA, it is essential to consider the following points:
Identifying High-Volume Periods:
The modified VWMA is designed to capture price movements during high-volume periods. Traders can use this indicator to identify potential market trends and determine whether significant trading activity is driving price action. By focusing on these periods, traders may gain a better understanding of the market sentiment and adjust their strategies accordingly.
Confirmation of Trend Strength:
The modified VWMA can serve as a confirmation tool for assessing the strength of a trend. When the VWMA line aligns with the overall trend direction, it suggests that the current price movement is supported by volume. This confirmation can provide traders with additional confidence in their analysis and help them make more informed trading decisions.
Potential Entry and Exit Points:
One of the primary purposes of the modified VWMA is to assist traders in identifying potential entry and exit points. By capturing volume-driven price movements, the indicator can highlight areas where market participants are actively participating, indicating potential opportunities for opening or closing positions. Traders can use this information in conjunction with other technical analysis tools to develop comprehensive trading strategies.
Interpretation of Angle and Gradient:
The modified VWMA incorporates an angle calculation and color gradient to further enhance interpretation. The angle of the VWMA line represents the slope of the indicator, providing insights into the momentum of price movements. A steep angle indicates strong momentum, while a shallow angle suggests a slowdown. The color gradient helps visualize this angle, with green indicating bullish momentum and purple indicating bearish momentum.
Conclusion
By modifying the VWMA formula to incorporate the T3, JMA, and KAMA moving averages, the T3 JMA KAMA VWMA Indicator offers traders an innovative tool to exploit high-volume market conditions for optimal position entry. This modification enhances responsiveness, improves timing, and provides comprehensive market insights.
Enjoy checking it out!
---
Credits to:
◾ @cheatcountry – Hann Window Smoothing
◾ @loxx – T3
◾ @everget – JMA
Volume Tick Analysis and Order Blocks [Tcs] | ALGOThe indicator has been developed to provide the most complete vision possible of liquidity areas, highly traded past price levels, and how volume tick analysis affects price action.
It helps to draw on all the areas that generate a price move, or market inefficiency.
The indicator has different features:
- ORDER BLOCKS : The indicator draws different kinds of order blocks on the chart.
• Real valuable order blocks - where the price reaction is more probable. It's define by a calculation of the quantity tick volume exchanged between bulls and bears on a price level, which can create a candle event, such as engulfing candles. For this motivation the order blocks plotted will be a real valuable area.
The threshold can be adjusted based on the strategy's needs, in particular this set up has been added to adapt the strategy on different kind of asset. For Cryptocurrency for example the best threshold are between 0.5 and 1. The lower the value, the fewer order blocks will be plotted, but they will be more valuable. It's possible to show the volume exchanged, the percentage, and who controlled the valuable area, bulls or bears, on these order blocks.
For a better visualization, the order block will change color (more transparent) after it will be violated for the first time, and it will be deleted once the price will break trough it.
All order blocks can be extend
GENERAL OB VISUALIZATION
EXAMPLE OF TRADES ON OB
It's also possible to plot the footprint of past and invalidated order blocks on the chart, which can help to draw lines for future valuable areas.
• Secondary order blocks are less valuable order blocks where the probability of a price reaction is less. Usually, they work for small retracements and are more useful for scalpers. the concept is the same as Primary order blocks but without a too restricted calculation of tick volume exchanged
• LIQUIDITY GRABS: Liquidity grabs are plotted on candles that try to invalidate an order block, but high volumes move them to the opposite direction. They happen when opposite players try to move the market in the opposite direction. They are calculated only on primary order blocks.
A good entry usually is when a liquidity grab appear, the price come in the liquidity grab area to fry liquidity and price close again in the liquidity grab area.
• VOLUME VSA: All candles with high and above-average volume are plotted on the chart for both bull and bear volume. It highlights more than average volume, high volume, and extreme volume with different colors. This can help to spot good entries or detect beginning/end of a trend. For example abnormal high volume at the end of a big price movement, in the same direction, can define the end of a trend. If same situation of abnormal high volume, but in the opposite direction of the trend, could define the beginning of a market inversion.
• FAIR VALUE GAPS: It highlights all the inefficiencies of market moves, which can be used as retracement or price return areas. Here, they can be adjusted based on how effective they are adjusting the volume threshold. Bulls and bears FVG are defined in different colors. More effective FVG are plotted in less transparent colors, and you will find three levels of effectiveness.
Both OB and FVG will change color once the price retraces on them, and they will be removed when they are invalidated.
Please note that this indicator is for educational purposes only and should not be used for trading without further testing and analysis.
VWAP Trendfollow Strategy [wbburgin]This is an experimental strategy that enters long when the instrument crosses over the upper standard deviation band of a VWAP and enters short when the instrument crosses below the bottom standard deviation band of the VWAP. I have added a trend filter as well, which stops entries that are opposite to the current trend of the VWAP. The trend filter will reduce total false breakouts, thus improving the % profitable while maintaining the overall returns of the strategy. Because this is a trend-following breakout strategy, the % profitable will typically be low but the average % return will be higher. As a rule, be sure to look at the average winning trade % compared to the average losing trade %, and compare that to the % profitable to judge the effectiveness of a strategy. Factor in fees and slippage as well.
This strategy appears to work better with the lower timeframes, and I was impressed with its results. It also appears to work on a wide range of asset classes. There isn't a stop loss or take profit built-in (other than the reversal signals, which close the current trade), so I would encourage you to expand on the strategy based on your own trading parameters.
You can toggle off the bar colors and the trend filter if you so desire.
Future updates to this script (or ideas of improving on it) might include a take profit level set at one standard deviation past the current level and a stop loss level set at one standard deviation closer to the vwap from the current level - or applying a multiple to the two based off of your reward/risk ratio.
About the strategy results below: this is with commissions of 0.5 % per trade.
