VWAP Bands [UAlgo]The "VWAP Bands " indicator is designed to provide traders with valuable insights into market trends and potential support/resistance levels using Volume Weighted Average Price (VWAP) bands. This indicator integrates the core concepts of VWAP with additional trend analysis features, making it a versatile tool for both range trading and trend-following strategies.
The VWAP bands are plotted based on the standard deviation multipliers, creating upper and lower bands around the VWAP. These bands serve as dynamic support and resistance levels. When the price approaches these bands, traders can anticipate potential reversals or continuations of the current trend. Additionally, the indicator provides visual cues for trend strength and potential trend changes, helping traders make informed decisions in various market conditions.
🔶 Settings
Source (Data Source): The data source for VWAP calculations. The default setting is the typical price (HLC3), which is the average of the high, low, and close prices.
Length: The number of bars used in the VWAP calculation. This determines the lookback period for the indicator.
Standard Deviation Multiplier: The multiplier applied to the standard deviation to create the primary upper and lower VWAP bands. This setting controls the distance of the bands from the VWAP.
Secondary Standard Deviation Multiplier: The multiplier applied to the standard deviation to create the secondary upper and lower VWAP bands, providing additional levels of support and resistance.
Display Trend: A toggle to enable or disable the display of the trend analysis feature. When enabled, the indicator highlights trend strength and potential trend changes.
Display Trend Crossovers: A toggle to enable or disable the display of trend crossover signals. When enabled, the indicator plots shapes to indicate where trend switches are likely occurring.
🔶 Calculations
The calculations behind the "VWAP Bands " indicator begin with determining the Volume Weighted Average Price (VWAP), which provides a comprehensive view of the average price of an asset, weighted by trading volume. This gives a more accurate representation of the asset's true average price over a specified period.
The first step in this process involves summing the trading volume over a chosen period, typically represented by the length parameter. Simultaneously, the product of the price (usually an average of the high, low, and close prices) and the trading volume is calculated and summed. By dividing this cumulative price-volume product by the total volume, we obtain the VWAP value. This VWAP serves as the central anchor around which the price action oscillates.
To enhance the utility of VWAP, we introduce standard deviation calculations. Standard deviation measures the extent of price dispersion from the VWAP, providing insight into price volatility. By calculating the variance (which involves the squared deviations of price) and then taking its square root, we derive the standard deviation. This helps in understanding how far prices typically stray from the VWAP.
With the VWAP and standard deviation in hand, we then establish upper and lower bands by adding and subtracting multiples of the standard deviation from the VWAP. These bands act as dynamic support and resistance levels, adapting to changes in market volatility. The primary bands, set by the first standard deviation multiplier, are augmented by secondary bands defined by a larger multiplier, offering additional layers of potential support and resistance.
It also integrates trend analysis, highlighting areas where the price action suggests a strong or weak trend. This is achieved by overlaying colored zones above and below the bands, indicating the strength and direction of the trend. When the price crosses these bands, it signals potential trend changes, aiding traders in making timely decisions.
🔶 Disclaimer
The "VWAP Bands " indicator is provided for educational and informational purposes only. It is not intended as financial advice and should not be construed as such.
Trading involves significant risk and may not be suitable for all investors. Before using this indicator or making any investment decisions, it is important to conduct thorough research and consider your financial situation.
Vwapbands
[MAD] Custom Session VWAP BandsOverview
This indicator helps visualize the Volume Weighted Average Price (VWAP) and its associated standard deviation bands over specified time periods, providing traders with a clear understanding of price trends, volatility, and potential support/resistance levels.
Inputs
Deviation
StDev mult 1: Multiplier for the first standard deviation band (Default: 1.0)
StDev mult 2: Multiplier for the second standard deviation band (Default: 2.0)
StDev mult 3: Multiplier for the third standard deviation band (Default: 3.0)
StDev mult 4: Multiplier for the fourth standard deviation band (Default: 4.0)
Line width: Width of the lines for the bands (Default: 2)
Custom Vwap session reset settings
Many different options are considered when a session is going to be reset.
Plot and Fill Options
Enable Fills: Enable/disable filling between bands.
Plot +4: Enable/disable plotting the +4 standard deviation band.
Plot +3: Enable/disable plotting the +3 standard deviation band.
Plot +2: Enable/disable plotting the +2 standard deviation band.
Plot +1: Enable/disable plotting the +1 standard deviation band.
Plot VWAP: Enable/disable plotting the VWAP line.
Plot -1: Enable/disable plotting the -1 standard deviation band.
Plot -2: Enable/disable plotting the -2 standard deviation band.
Plot -3: Enable/disable plotting the -3 standard deviation band.
Plot -4: Enable/disable plotting the -4 standard deviation band.
How to Use the Indicator
Adding the Indicator
Add the indicator to your chart through your trading platform's indicator menu.
Configuring the VWAP Reset
Specify reset intervals based on time, days of the week, or specific dates.
Adjust the time zone if necessary.
Customizing Standard Deviation Bands
Set the multipliers for the standard deviation bands.
Choose line width for better visualization.
Enabling Plots and Fills
Select which bands to display.
Enable or disable fills between the bands.
Practical Application of VWAP Bands
Understanding VWAP
VWAP is a trading benchmark that calculates the average price a security has traded at throughout the day based on volume and price. It is primarily used for intraday trading but can also offer insights during end-of-day reviews.
Using VWAP for Trading
Intraday Trading
Entry and Exit Points: VWAP can help identify optimal buy and sell points. Buy when the price is above VWAP and sell when it's below.
Support and Resistance: VWAP often acts as a dynamic support/resistance level. Prices tend to revert to VWAP, making it a crucial level for intraday traders.
Trend Confirmation
Uptrends and Downtrends: In an uptrend, the price will generally stay above VWAP. Conversely, in a downtrend, it will stay below. Use this to confirm market direction.
Combining with Other Indicators
Moving Averages and Bollinger Bands: Combining VWAP with these indicators can provide a more robust trading signal, confirming trends and potential reversals.
Setting Stop-Loss and Profit Targets
Conservative Stop Orders: Place stop orders at recent lows for pullback trades.
Profit Targets: Use daily highs or Fibonacci extension levels to set profit targets.
Strategies for Using VWAP
Pullback Strategy
Buy during pullbacks to VWAP in an uptrend, and sell during rallies to VWAP in a downtrend.
Breakout Strategy
Look for breakouts above/below VWAP after the market open to capitalize on new trends.
Momentum Trading
Use VWAP to confirm the strength of a trend. Buy when the price is consistently above VWAP and sell when it's consistently below.
Institutional Strategies
Institutional traders use VWAP to execute large orders without causing significant market impact, ensuring trades are made around the average price.
By incorporating these strategies, traders can better understand market dynamics, make informed trading decisions, and manage their risk effectively.
Some setup possibilities
Consolidation VWAP's [QuantVue]Introducing the Consolidation VWAP's Indicator , a powerful tool designed to identify consolidation periods in stock advance and automatically anchor three distinct VWAPs to key points within the consolidation.
Consolidation Period Identification:
The indicator automatically detects periods of consolidation or areas on the chart where a stock's price moves sideways within a defined range. This period can be seen as the market taking a "breather" as it digests the previous gains. Consolidations are important because they often act as a base for the next move, either continuing the previous uptrend or reversing direction.
Consolidation requirements can be customized by the user to match your instrument and timeframe.
Maximum Consolidation Depth
Minimum Consolidation Length
Maximum Consolidation Length
Prior Uptrend Amount
Anchored VWAP, or Anchored Volume-Weighted Average Price, is a technical analysis tool used to determine the average price of a stock weighted by volume, starting from a specific point in time chosen by the analyst.
Unlike traditional VWAP, which starts at the beginning of the trading session, the anchored VWAP allows traders to select any point on the chart, such as a significant event, price low, high, or a breakout, to begin the calculation.
VWAP incorporates price and volume in a weighted average and can be used to identify areas of support and resistance on the chart.
VWAP Anchored to Consolidation High: This VWAP is anchored at the highest price point within the identified consolidation period. It helps traders understand the
average price paid by buyers who entered at the peak of the consolidation.
VWAP Anchored to Consolidation Low: This VWAP is anchored at the lowest price point within the consolidation. It provides insights into the average price paid by
buyers who entered at the lowest point of the consolidation.
VWAP Anchored to Highest Volume in the Consolidation: This VWAP is anchored at the price level with the highest trading volume during the consolidation. It reflects the average price at
which the most trading activity occurred, often indicating a key support or resistance level.
The indicator also allows the trader to see past consolidation areas and previous anchored VWAP's.
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Harmonic Rolling VWAP (Zeiierman)█ Overview
The Harmonic Rolling VWAP (Zeiierman) indicator combines the concept of the Rolling Volume Weighted Average Price (VWAP) with advanced harmonic analysis using Discrete Fourier Transform (DFT). This innovative indicator aims to provide traders with a dynamic view of price action, capturing both the volume-weighted price and underlying harmonic patterns. By leveraging this combination, traders can gain deeper insights into market trends and potential reversal points.
█ How It Works
The Harmonic Rolling VWAP calculates the rolling VWAP over a specified window of bars, giving more weight to periods with higher trading volume. This VWAP is then subjected to harmonic analysis using the Discrete Fourier Transform (DFT), which decomposes the VWAP into its frequency components.
Key Components:
Rolling VWAP (RVWAP): A moving average that gives more weight to higher volume periods, calculated over a user-defined window.
True Range (TR): Measures volatility by comparing the current high and low prices, considering the previous close price.
Discrete Fourier Transform (DFT): Analyzes the harmonic patterns within the RVWAP by decomposing it into its frequency components.
Standard Deviation Bands: These bands provide a visual representation of price volatility around the RVWAP, helping traders identify potential overbought or oversold conditions.
█ How to Use
Identify Trends: The RVWAP line helps in identifying the underlying trend by smoothing out short-term price fluctuations and focusing on volume-weighted prices.
Assess Volatility: The standard deviation bands around the RVWAP give a clear view of price volatility, helping traders identify potential breakout or breakdown points.
Find Entry and Exit Points: Traders can look for entries when the price is near the lower bands in an uptrend or near the upper bands in a downtrend. Exits can be considered when the price approaches the opposite bands or shows harmonic divergence.
█ Settings
VWAP Source: Defines the price data used for VWAP calculations. The source input defines the price data used for calculations. This setting affects the VWAP calculations and the resulting bands.
Window: Sets the number of bars used for the rolling calculations. The window input sets the number of bars used for the rolling calculations. A larger window smooths the VWAP and standard deviation bands, making the indicator less sensitive to short-term price fluctuations. A smaller window makes the indicator more responsive to recent price changes.
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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!
VWAP Suite, Session Cloud RevOverview
The VWAP Suite with Standard Deviation Strategy is a comprehensive indicator designed to help traders make informed trading decisions based on the Volume Weighted Average Price (VWAP) and its associated standard deviation bands. This indicator provides multiple VWAP calculations for different timeframes (Session, Day, Week, Month) and incorporates standard deviation bands to identify potential trade entry and exit points.
Components
VWAP Calculation:
Session VWAP: VWAP calculated based on the current trading session.
Day VWAP: VWAP calculated for the daily timeframe.
Week VWAP: VWAP calculated for the weekly timeframe.
Month VWAP: VWAP calculated for the monthly timeframe.
Standard Deviation Bands:
The indicator includes three standard deviation bands (StDev 1, StDev 2, and StDev 3) around the VWAP. These bands help identify the dispersion of price from the VWAP, providing insight into potential overbought or oversold conditions.
Additional VWAP Lines:
VWAP 2: An additional VWAP line with a customizable timeframe (Day, Week, Month).
VWAP 3: Another VWAP line for further analysis with a customizable timeframe (Day, Week, Month).
Strategy Description
The primary strategy implemented in this indicator revolves around the second standard deviation band (StDev 2). The key aspects of this strategy include:
Entry Points:
Long Entry: Consider entering a long position when the price moves below the lower StDev 2 band and then starts to revert back towards the VWAP. This indicates a potential oversold condition.
Short Entry: Consider entering a short position when the price moves above the upper StDev 2 band and then starts to revert back towards the VWAP. This indicates a potential overbought condition.
Exit Points:
Long Exit: Exit the long position when the price moves back up to the VWAP or the upper StDev 1 band, indicating a normalization of the price.
Short Exit: Exit the short position when the price moves back down to the VWAP or the lower StDev 1 band, indicating a normalization of the price.
Risk Management:
Set stop-loss levels slightly beyond the StDev 3 bands to protect against significant adverse price movements.
Use trailing stops to lock in profits as the price moves favorably.
Customization
The VWAP Suite allows for extensive customization, enabling traders to adjust the following settings:
VWAP Mode: Select the timeframe for the primary VWAP calculation (Session, Day, Week, Month).
Line Widths and Colors: Customize the line widths and colors for VWAP and standard deviation bands.
Fill Opacity: Adjust the opacity of the fill between standard deviation bands for better visual clarity.
Additional VWAPs: Enable and customize additional VWAP lines (VWAP 2 and VWAP 3) for further analysis.
ASFX A2 VWAP [LuxAlgo]The ASFX A2 VWAP is a toolkit based on A2 signals and daily anchored VWAP bands, a methodology proposed by trader & educator Austin Silver (ASFX).
Pre-built alerts are also included.
🔶 USAGE
The A2 strategy involves identifying potential trades using specific signals and confirmation from the 21 EMA (Exponential Moving Average). Below we can see a bullish A2 signal triggering as price is closing below the 21 EMA with less than half of the candles closing price.
Within the settings, we have enabled the stop loss setting to assist us with trade setups generated from A2 signals.
Users can enable multiple layers of StDev multipliers on the AAVWAP to find areas of support & resistance alongside the A2 signals & other features included.
🔶 DETAILS
If 'Filter Based On VWAP' is enabled, bullish signals will only be displayed if located above the anchored VWAP, while bearish signals will only be displayed when located under the VWAP. The image above illustrates this, with transparent signals showing the ones that are supposed to be filtered.
The Stop Loss is based on the most recent A2 signal, and is constructed from the 1.618 Fibonacci retracement using the following points depending on the A2 signal:
Bullish: From candle low to the current daily maximum.
Bearish: From candle high to current daily minimum.
🔶 SETTINGS
🔹 A2
Validation EMA Period : Period of the EMA used to validate triggered A2 signals.
Trigger EMA Period : Period of the EMA used to trigger A2 signals.
Filter Based On VWAP : Filter A2 signals based on their location relative to the VWAP output.
🔹 VWAP
source : Input data for the anchored VWAP calculation
Show Central AVWAP : Display central VWAP on the chart
StDev Multiplier 1 : Display first VWAP bands, using a StDev multiplier of 1 by default.
StDev Multiplier 2 : Display second VWAP bands, using a StDev multiplier of 2 by default.
StDev Multiplier 3 : Display third VWAP bands, using a StDev multiplier of 3 by default.
🔹 Stop Loss
Stop Loss : Display stop loss based on the most recent A2 signal
Quantum VWAP ProThe VWAP indicator is another of our suite of volume indicators and one which was first referred to in 1988 when it appeared in an article entitled “The Total Cost Of Transactions On The NYSE” in the March edition of the Journal Of Finance from that year, which went on to explain its importance, particularly from an institutional perspective, which underpins its significance in appreciating the power and importance of this indicator.
In many ways, it is akin to the volume price analysis methodology itself, as we are merely attempting to follow the footprints in the sand left by their passage and described by volume. The same is true here, but in this case, we are following the institutions in much the same way.
Originally, the VWAP indicator was developed as a benchmark to measure whether an institutional customer received a fair execution of their order by the broker buying and selling on their behalf. The difference between the reported price and the VWAP gave the customer a benchmark against which to judge whether they had received a fair price or not. A portfolio manager for example, wants to know how the price they paid compared to the average price of the stock during the time it took to fill the order. If an order is filled at a worse price than the VWAP, it raises questions as to the ability of the broker. If the broker purchased a million shares at $40.50 and the VWAP during this time was at $40.70, the customer is likely to be happy since they paid 20 cents less than ‘fair value’. Equally, if the stock were purchased above, at, say $40.90 per share, the customer would consider this a poor trade, paying well above the fair value price at the VWAP.
The simplicity of this easy-to-understand benchmark, which creates this fair value price concept, has led to its wholehearted adoption amongst the institutions, and moreover, why algorithmic VWAP orders now dominate institutional market activity. A huge percentage of institutional orders are executed as VWAP orders, which raises two key questions. First of all, why, and second, how can we benefit from using the indicator?
If we start with the why, according to reports from the leading market makers, almost 40% of orders are now executed on this basis as they attempt to obtain a buy or sell price close to or better than the VWAP during the time it takes to complete the buy or sell order. These orders, therefore, help to hugely reinforce the importance of the VWAP since it is the guiding principle on which these orders are based. Even Warren Buffet uses VWAP, as evidenced when he sold his entire position in Southwest Airlines over two days, holding 2.3 million shares.
This highlights the key issues for any large institutional investor involving the price. If executed in a single order, an order to buy a large block of shares would almost certainly swamp the market, raising the price exponentially and, in addition, overwhelm the average volume traded in the day.
It is this issue of putting the price up against their own buying or conversely seeing the price fall as a result of their own selling that leads to the parent and child order scenario where significant block orders are broken into a multitude of smaller orders, which are duly executed over days, weeks or months. It is this aspect of institutional order execution that makes the VWAP such a potent indicator.
However, at Quantum Trading, we don’t just build a single indicator and leave it at that! We always take them to another level, and here we have done the same, bundling together a total of five indicators into one amazing value package so you can select your favorite from those on offer. The reason for this is we recognize the different ways the volume-weighted average price is used, which is why we offer a total of FIVE variants to choose from, and these are as follows:
VWAP – Volume Weighted Average Price
MVWAP – Moving Volume Weighted Average Price
AVWAP – Anchored Volume Weighted Average Price
TWAP – Time Weighted Average Price
Interday Volume Weighted Average Price
All five variants include the option to display upper and lower bands that act as envelopes above and below the VWAP based on standard deviation, which you can adjust and set yourself. These price envelopes become essential dynamic support and resistance levels, which can help predict the extremes of price action as it oscillates around the VWAP from the fastest to the slowest timeframes and everything in between.
All five indicators are packaged into one powerful indicator, which we have named the Quantum VWAP Pro indicator for obvious reasons, and as you would expect, it works in all markets and instruments, whether stocks, futures, ETFs, forex or cryptocurrencies.
Finally, as with all our indicators, we recommend you use it in multiple timeframes.
VWAP with CharacterizationThis indicator is a visual representation of the VWAP (Volume Weighted Average Price), it calculates the weighted average price based on trading volume. Essentially, it provides a measure of the average price at which an asset has traded during a given period, but with a particular focus on trading volume. In our case, the indicator calculates the VWAP for the current trading symbol, using a predefined simple moving average (SMA) with a period of 14. This volume-weighted moving average offers a clearer view of the behavior of the VWAP and, of consequence of market dynamics.
One of the distinctive features of this indicator is its ability to provide a more "linear" representation of the data. This means that the data is "smoothed" to remove noise, allowing you to more easily identify the direction of the market trend. This smoother representation is especially useful because the financial market can be subject to significant fluctuations and volatility, and this indicator can help get a more stable view of the trend.
The indicator also offers a visualization of the market trend in a very intuitive way. Using an evaluation of the highs and lows of the last 10 days, determine whether the market is in an uptrend, downtrend, or no trend at all. To make this evaluation even clearer and more immediate, the indicator line is colored dynamically. When the trend is bullish, the line is blue, while in case of a bearish trend, it takes on a distinctive color, such as pink. If the trend is not defined, the line will be colored differently, for example light yellow. This coloration gives traders an immediate visual indication of the prevailing trend, allowing them to make more informed decisions regarding trading operations.
One potential strategy involves watching candles when they cross the VWAP line strongly. If, for example, a candlestick breaks above the VWAP line, we may look for retest areas near key support levels to gauge a potential long entry. In other words, we would consider that the price may have the potential to rise further after breaking above the VWAP line, and we would look to enter a long position to take advantage of this opportunity.
On the other hand, if a candlestick crosses below the VWAP line, we might consider looking for retest areas near the VWAP line itself, which now serves as potential resistance. This could indicate a possible short entry opportunity, as the price may struggle to break above the resistance represented by the VWAP line after breaking it down. In this case, we would look to take advantage of the expected continuation of the downtrend.
In both cases, the idea is to exploit significant movements across the VWAP line as signals of potential reversal or continuation of the trend. This strategy can help identify key entry points based on price behavior relative to the VWAP line.
TTP VWAP BandThis indicator offers 20 VWAP bands and on-chart statistic data about the bands.
Features
- Longs and shorts
- Cherry-pick up to 5 bands for backtesting
- Plots 20 bands
- Step scale to increase deviation percentage on each band
- Period and timeframe selectors
- Band crosses: how many times a band was crossed (also percentage)
- Band bounces: how many times each band was pinched and bounced back (also percentage)
How to use:
1) Set the chart to 15 or 5 minute timeframe for higher backtesting accuracy
2) Select the first band deviation % (MIN Long VWAP % and MIN Short VWAP %), use a small number like 0.3 or 1.0 since the rest of the 20 bands will increase that amount later.
3) Select a step scale or leave it in 1 if you prefer same distance between all bands. Notice that if you use a value below 1 the bands will get closer to each other.
4) Observe the statistics and pay attention to how many times each of the bands are being crossed in percentage. This will later help you make decisions on when to enter and where to potentially put an SL.
Connect with your preferred backtester:
You can backtest a single or multiple bands at once. For example you could use the 7th band to enter a base order and later use crosses of the 4th band to enter safety orders. Any combination is possible!
Let's assume you decide that you will be backtesting only 1 band at the time as your single entry condition for your backtester.
Let's also assume that you want to use the 2nd band for long entries then do follow these steps:
- Set "Band 1 backtesting" to 2 so that it prints 1 every time the price crosses below the 2nd band.
- Leave the other Band backtesting band settings with a 0 so they stay disabled
- Add your backtester to the same chart and select "band 1 long signal"
- This signal will contain 1 every time your conditions are met
Anchored VWAP (Auto High & Low)OVERVIEW
This script plots, and auto-updates, 3 separate VWAPs: a traditional VWAP, a VWAP anchored to a trends high, and another anchored to a trends low.
VWAP and Anchored VWAPs are commonly used by institutions responsible for the majority of market volume on a given day. Citadel Trading, for example, accounts for approximately 35% of all U.S. listed retail volume , largely executed through program trades over the course of a day, week, or month.
Because VWAP is a prominent market maker tool for executing large trades, day traders can use it to better anticipate trends, mean reversion, and breakouts.
This is most useful on charts with intraday time frames (1 minute, 5 minute etc.) commonly used for day trading. This is not ideal for larger time frames (1 hour or greater) commonly used for swing trading or identifying larger trends.
INPUTS
You can configure:
The size, color, and visibility of 6 different plots (VWAP, High Anchor, Low Anchor, Average of Anchors, Quarter Values, Interim Bands)
How smooth the average displays
INSPIRATION
1. "How To Measure Anything" by Douglas W. Hubbard
2. "Maximum Trading Gains With Anchored VWAP" by Brian Shannon
Better understanding probability and how to analyze risk (first book), as well as the tools market makers use (second book), has completely reframed how I approach day trading.
AggBands (v1) [qrsq]The "AggBands" indicator is a custom trading indicator designed to provide a consolidated view of the price action across multiple assets or trading pairs. It combines the price data from multiple tickers and calculates an aggregated price using user-defined weights for each ticker.
The indicator starts by defining the tickers to be included in the aggregation. You can choose from predefined configurations such as "BTC PAIRS," "CRYPTO TOTAL MARKET CAP," "TOP 5 PAIRS," "TOP 5 MEMECOINS," "SPX," "DXY," or "FANG." Each configuration includes specific tickers or indices relevant to the chosen category.
The indicator then fetches the closing, high, and low prices for each ticker and applies the user-defined weights to calculate the aggregated prices. The aggregated prices are normalized within a specified length to provide a consistent scale across different assets or pairs.
Next, the indicator calculates the midpoint, which is the average of the highest high and lowest low of the aggregated prices over a specified aggregation period.
To assess the volatility, the indicator calculates the price range and applies the Average True Range (ATR) indicator to determine the volatility value. The standard deviation is then computed using the price range and aggregation period, with an additional scaling factor applied to the volatility value.
Based on the standard deviation, the indicator generates multiple bands above and below the midpoint. By default, three standard deviation bands are calculated, but the user can choose between one and five bands. The upper and lower bands are smoothed using various moving average (MA) types, such as Simple Moving Average (SMA), Exponential Moving Average (EMA), Smoothed Moving Average (SMMA/RMA), Weighted Moving Average (WMA), Volume Weighted Moving Average (VWMA), Volume Weighted Average Price (VWAP), or Arnaud Legoux Moving Average (ALMA). The user can also adjust the length, offset, and sigma parameters for the moving averages.
The indicator can optionally smooth the midpoint, upper bands, and lower bands using a separate set of moving average parameters.
The indicator can be useful for traders and analysts who want to gain a consolidated view of price movements across multiple assets or trading pairs. It helps identify trends, volatility, and potential support and resistance levels based on the aggregated price and standard deviation bands. Traders can use this information to make informed decisions about trading strategies, risk management, and market analysis.
Standard Deviation Buy Sell Signals [UOI]The "Standard Deviation Buy Sell Signals" which is a Mean and VWAP Deviation Super Pack that includes many additional features is an advanced technical analysis tool designed to assist traders in making well-informed decisions in the financial markets. It incorporates various functions and calculations to provide a comprehensive analysis of price movements, trends, and potential trading opportunities in different timeframes. The Super Pack combines elements of volume-weighted average price (VWAP), mean calculation on multiple time frames, standard deviation signals and bands, overbought and oversold signals, measures of central tendency, and multiple time frame calculations of mean reversion. A truly unique indicator.
Here is the details of the supper pack and what is included:
1. VWAP (Volume-Weighted Average Price): The Mean and VWAP Deviation Super Pack includes VWAP, which calculates the average price of a security weighted by its trading volume. This helps traders identify the average price at which a significant amount of trading activity has occurred and can serve as a reference point for determining whether the current price is overvalued or undervalued.
2. Standard Deviation Signals and Bands: The Super Pack incorporates standard deviation signals and bands to measure the volatility of price movements. By calculating the standard deviation of price data, it identifies price levels that deviate significantly from the average, indicating potential overbought or oversold conditions. The standard deviation bands provide visual boundaries that help traders assess the likelihood of a price reversal or continuation. The bands are hidden to avoid too many lines but you can enable them in the setting. See image below:
3. Overbought and Oversold Signals: Using the standard deviation calculations, the Mean and VWAP Deviation Super Pack generates overbought and oversold signals. These signals indicate when a security's price has moved to an extreme level, suggesting a potential reversal or correction in the near future. Traders can use these signals to time their entries or exits in the market. You can change the RSI number in the setting to get more or less signals.
4. Measures of Central Tendency: The Super Pack incorporates measures of central tendency, such as the mean, median, or mode, to provide a sense of the average or typical price behavior. These measures help traders identify the prevailing trend or price direction and assess the likelihood of a trend continuation or reversal. This provide reassurance of whether price is too far from center in multiple time frames.
5. Multiple Time Frame Calculation of Mean Reversion: The Mean and VWAP Deviation Super Pack employs multiple time frame calculations to identify mean reversion opportunities. It compares the current price with the historical average price over different time periods, allowing traders to identify situations where the price has deviated significantly from its mean and is likely to revert back to its average value. This can be useful for swing trading or short-term trading strategies.
By combining these various functions, the Mean and VWAP Deviation Super Pack provides traders with a comprehensive analysis of price dynamics, trend strength, potential reversals, and mean reversion opportunities. It aids in making more informed trading decisions and improving overall trading performance.
Why is this super pack indicator an essential trading strategy for every trader:
Standard deviation and mean reversion are valuable tools for traders, especially when the market is in a ranging phase. A ranging market is characterized by price movements that oscillate between defined support and resistance levels, with no clear trend in either direction. In such market conditions, standard deviation and mean reversion strategies can be particularly effective. Here's why:
1. Standard Deviation: Standard deviation is a statistical measure that quantifies the volatility or dispersion of price data around its average. In a ranging market, where prices tend to fluctuate within a certain range, standard deviation can help identify overbought and oversold levels. When the price reaches the upper end of the range, the standard deviation bands widen, indicating higher volatility and a potential selling opportunity. Conversely, when the price reaches the lower end of the range, the bands narrow, suggesting lower volatility and a potential buying opportunity. Traders can use these signals to anticipate price reversals and take advantage of the predictable nature of ranging markets.
2. Mean Reversion: Mean reversion is a concept that suggests prices tend to move back toward their average or mean over time. In a ranging market, where prices repeatedly move between support and resistance levels, mean reversion strategies can be highly effective. By identifying when the price has deviated significantly from its mean, traders can anticipate a potential reversal back toward the average. When the price reaches extreme levels, indicating overbought or oversold conditions, traders can enter positions in the opposite direction, expecting the price to revert to its mean. Mean reversion strategies can be implemented using various indicators, including Bollinger Bands, moving averages, or standard deviation bands.
3. Range Boundaries: In a ranging market, the upper and lower boundaries of the price range serve as reliable reference points for traders. Standard deviation and mean reversion strategies capitalize on the repetitive nature of price movements within these boundaries. Traders can set their entry and exit points based on the standard deviation bands or mean reversion signals to take advantage of price reversals near the range boundaries. By properly identifying and reacting to these levels, traders can profit from the price oscillations within the range.
4. Risk Management: Standard deviation and mean reversion strategies provide traders with clear entry and exit points, allowing for effective risk management. By placing stop-loss orders beyond the range boundaries or the standard deviation bands, traders can limit their potential losses if the price continues to move against their positions. Additionally, by taking profits near the opposite range boundary or when the price reverts back to the mean, traders can secure their gains and maintain a disciplined approach to trading.
Standard deviation and mean reversion strategies offer traders a systematic approach to capitalize on ranging markets. But the cherry on top is the overbought and oversold signals:
The concept of overbought and oversold levels is widely used in technical analysis to identify potential reversals in price trends. Typically, indicators like the Relative Strength Index (RSI) are employed to determine when an asset may be overbought or oversold. However, you have developed a unique approach by incorporating an interactive variable with RSI and Average True Range (ATR) to create a distinct overbought and oversold signal. Here's why this approach stands out:
1. Divergence: Your approach introduces a divergence concept by combining RSI and ATR. Traditionally, overbought and oversold signals rely solely on RSI readings. However, by considering the interaction between RSI and ATR, you bring a new dimension to these signals. The divergence occurs when the RSI indicates overbought conditions while simultaneously ATR crosses over into bearish territory, or when the RSI signals oversold conditions along with ATR crossing over into bullish territory. This divergence adds an extra layer of confirmation to the overbought and oversold signals.
2. Reduced False Signals: The incorporation of ATR in conjunction with RSI helps filter out false signals that may occur during trending market conditions or short squeezes. Trend days or periods of increased volatility can cause RSI to remain in overbought or oversold territory for an extended period, generating numerous signals that may not be reliable. By considering the crossing of ATR into bearish or bullish territory, your approach adds a dynamic element to the signal generation process. This interactive variable helps ensure that the overbought and oversold signals are not solely based on RSI getting hot, reducing the likelihood of false signals during trending or volatile periods.
3. Improved Timing: The interaction between RSI and ATR provides a more nuanced approach to timing overbought and oversold signals. By waiting for the ATR to confirm the RSI signal, you introduce an additional condition that enhances the precision of the timing. The bearish or bullish crossover of ATR serves as a confirmation that market conditions align with the overbought or oversold signal indicated by RSI. This combined approach allows for more accurate entry or exit points, increasing the potential profitability of trades.
4. Customization and Adaptability: By creating this interactive variable with RSI and ATR, you have developed a customizable approach that can be adapted to different trading styles and preferences. Traders can adjust the sensitivity of the signals by modifying the parameters of the RSI and ATR. This flexibility allows for a personalized trading experience and enables traders to align the signals with their specific risk tolerance and market conditions.
This approach to overbought and oversold signals utilizing RSI and ATR introduces a unique perspective to technical analysis. By incorporating divergence and interactive variables, you enhance the reliability of these signals while reducing false readings. This approach provides improved timing and adaptability, making it a valuable tool for traders seeking to identify potential reversals in price trends with greater accuracy and confidence.
HOW to avoid fake signals?
When it comes to trading with standard deviation as a strategy, it's important to note that on extreme trend days, this indicator may generate false signals. This occurs because standard deviation is primarily designed to measure volatility and deviations from the mean in a range-bound market. During strong trending periods, the price tends to move in one direction with minimal deviations, rendering the standard deviation less effective.
To avoid trading based solely on standard deviation during extreme trend days, it is advisable to incorporate additional indicators that can provide insights into the stock's trend or squeeze conditions. These indicators can help determine whether the market is experiencing a strong trend or a squeeze, allowing you to avoid false signals generated by standard deviation.
By utilizing complementary indicators such as trend-following indicators (e.g., moving averages, trendlines) or volatility indicators (e.g., Bollinger Bands), you can gain a more comprehensive understanding of the market environment. These indicators can help confirm whether the stock is in a trending phase or experiencing a squeeze, helping you avoid entering trades solely based on standard deviation during these extreme trend days.
In summary, while standard deviation is a valuable tool in range-bound markets, it may produce unreliable signals on extreme trend days. By incorporating other indicators that provide insights into the stock's trend or squeeze conditions, traders can better assess the market environment and avoid false signals generated by standard deviation during these periods. This approach enhances the overall effectiveness and accuracy of trading strategies, leading to more informed and profitable decision-making.
All-In-One Auto Anchored VWAPsA chart isn't trendy without a VWAP (which stands for volume weighted average price).
This indicator allows you to choose 3 different anchored VWAPs, and customize the anchor period from one of many different options, including:
- Daily
- Weekly
- Monthly
- Quarterly
- Yearly
- All Time
- Specific Pivots
- Specific Sessions
You can then choose whether you want to anchor to the open, highest or lowest value within that period.
The indicator will automatically update every time a new anchor point is triggered. Every VWAP has colors and standard deviation bands as an optional setting.
As interest in the script grows I will continue to add new features.
VWAP + 2 Moving Averages + RSI + Buy and SellIndicator: VWAP + 2 Moving Averages + RSI + Buy and Sell
Buy and Sell Arrows (Great for use alone or in conjunction with other scripts on the chart)
This indicator displays BUY (BUY) and SELL (SELL) arrows on the chart based on a combination of moving averages, VWAP and RSI. Arrows are a visual way to identify trading opportunities and can be useful for traders who want to follow a strategy based on these conditions.
The indicator uses two moving averages (20 and 50 periods) to identify upward crosses (buy) and downward crosses (sell). In addition, it takes into account VWAP (Volume Weighted Average Price) and RSI (Relative Strength Index) as additional filters to confirm buy and sell signals.
This script is great for use both independently and in conjunction with other indicators and strategies. You can combine it with other indicators and customize it to your preferences to create a more comprehensive trading strategy.
Please remember that this indicator is provided for educational purposes only and does not constitute financial advice. It is always recommended to carry out a thorough analysis before making any trading decisions.
Give this indicator a try and enjoy clear visualization of buy and sell arrows on your chart. Happy trading!
VWAP Bollinger Band Crossover Breakout with ResistanceCredit to © Jesus_Salvatierra for VWAP script
This script help you find a trend in momentum stock that is about to breakout and shows resistance point. This script utilizes Bollinger bands VWAP and is good for intra day charts.
VWAP, or Volume Weighted Average Price, is a technical analysis tool used to measure the average price a security trades at during a given time period, weighted by the trading volume for each price level. It is commonly used by traders and investors to identify the true average price of a security and to assess whether they are buying or selling at a fair price.
A Bollinger Band is a technical analysis tool that uses standard deviation to measure the volatility of a security. The Bollinger Band is typically composed of three lines: the upper band, the lower band, and the middle band. The middle band is a simple moving average of the security's price, while the upper and lower bands are calculated based on the standard deviation of the security's price.
A Bollinger Band crossover occurs when the price of a security crosses above or below one of the bands. When the price crosses above the upper band, it is considered overbought, while when it crosses below the lower band, it is considered oversold. Traders often use Bollinger Band crossovers as a signal to enter or exit a position, depending on their trading strategy.
The VWAP and Bollinger Band crossover are two separate technical analysis tools that can be used in conjunction with each other. When a security's price crosses above or below the Bollinger Band, traders may look to the VWAP to confirm whether the security is trading at a fair price. If the security is trading above the VWAP, it may be overvalued, while if it is trading below the VWAP, it may be undervalued. Similarly, traders may use the Bollinger Band crossover as a signal to enter or exit a position, while also taking into account the VWAP to assess whether the price is fair.
VWAP Supply and Demand ZonesThis is my 1st indicator enjoy.
Description of the VWAP Supply and Demand Zones indicator:
This indicator uses the Volume Weighted Average Price (VWAP) to identify potential supply and demand zones in the market. The VWAP is a popular indicator that shows the average price of a security weighted by volume over a specified period of time. It can be used as a benchmark to measure the efficiency of trading and to identify trends and price levels.
The indicator plots the VWAP as a blue line on the chart, and also plots two other lines above and below it, which represent the upper and lower bounds of the supply and demand zones. The width of these zones can be adjusted by changing the “Zone Width” input parameter.
The indicator also plots shapes on the chart to mark when a supply or demand zone is formed. A supply zone is formed when the price crosses above the VWAP and then falls back below it, indicating that there is more selling pressure than buying pressure at that level. A red triangle is plotted above the bar where this happens, and a red zone is drawn between the previous close and previous VWAP values.
A demand zone is formed when the price crosses below the VWAP and then rises back above it, indicating that there is more buying pressure than selling pressure at that level. A green triangle is plotted below the bar where this happens, and a green zone is drawn between the previous close and previous VWAP values.
The supply and demand zones can be used as potential areas of support and resistance, where traders can look for reversal or continuation signals. For example, if the price enters a supply zone from below, it may indicate that sellers are willing to sell at higher prices, which could lead to a bearish reversal. Conversely, if the price enters a demand zone from above, it may indicate that buyers are willing to buy at lower prices, which could lead to a bullish reversal.
The indicator can be applied to any timeframe or market, but it may work better on higher timeframes where volume data is more reliable. It can also be combined with other indicators or tools to confirm or filter signals.
Aggregated VWAP by AncheAbout this indicator
Aggregated VWAP shows you a combined VWAP of different assets which you can choose inside the options panel.
This allows you to select the same asset from multiple exchanges and the indicator plots a VWAP based on all the prices of the selected tickers.
The above image shows you the VWAP of the current asset (red, thick line) and an Aggregated VWAP of BTCUSD from this exchange + 5 others (black line). This clearly shows a discrepancy between both values.
How to use
Open the options of the indicator, at the bottom you will find 5 input fields to select 5 tickers. This allows you to select your asset from different exchanges so that their value gets computed inside the value for the Aggregated VWAP.
Inside the "style" settings you can change colors, lines, etc.
VWAP 3x Session Reset- This VWAP aims to be used with futures and forex.
- The VWAP is reset at the beginning of each session.
- 3 different sessions can be specified.
- The lines are not drawn when there is no active session.
- The upper and lower bands with standard deviation 2 are also drawn.
Info: The time zone of the picture is Europe/Berlin
VWAP Previous VWAP WMQY StdDev Extensions Nadro StyleDisplays Multi-TF VWAP with Std Dev Bands.
Developing VWAP and Std Dev Bands
Previous VWAP and Std Dev Bands
Previous VWAP Extensions
Some Examples
ASE Additionals v1ASE Additionals is a statistics-driven indicator that combines multiple features to provide traders with valuable statistics to help their trading. This indicator offers a customizable table that includes statistics for VWAP with customizable standard deviation waves.
Per the empirical rule, the following is a schedule for what percent of volume should be traded between the standard deviation range:
+/- 1 standard deviation: 68.26% of volume should be trading within this range
+/- 2 standard deviation: 95.44% of volume should be trading within this range
+/- 3 standard deviation: 99.73% of volume should be trading within this range
+/- 4 standard deviation: 99.9937% of volume should be trading within this range
+/- 5 standard deviation: 99.999943% of volume should be trading within this range
+/- 6 standard deviation: 99.9999998% of volume should be trading within this range
The statistics table presents five different pieces of data
Volume Analyzed: Amount of contracts analyzed for the statistics
Volume Traded Inside Upper Extreme: Calculated by taking the amount of volume traded inside the Upper Extreme band divided by the total amount of contracts analyzed
Volume Traded Inside Lower Extreme: Calculated by taking the amount of volume traded inside the Lower Extreme band divided by the total amount of contracts analyzed
Given the user’s inputs, they will see the upper and lower extremes of the day. For example, if the user changed the inner st. dev input to 2, 95.44% of the volume should be traded within the inner band. If the user changed the outer st. dev input to 3, 99.73% of the volume should be traded within the outer band. Thus, statistically, 2.145% ((99.73%-95.44%)/2) of volume should be traded between the upper and lower band fill.
In the chart above, the bands are the 2nd and 3rd standard deviation inputs. We notice that out of the 151 Million Contracts , the actual percentage of volume traded in the upper extreme was 2.7% , and the actual percentage of the volume traded in the lower extreme was 3.3% . Given the empirical rule, about 2.145% of the volume should be traded in the upper extreme band, and 2.145% of the volume should be traded in the lower extreme band. Based on the statistics table, the empirical rule is true when applied to the volume-weighted average price.
The trader should recognize that statistics is all about probability and there is a margin for error, so the bands should be used as a bias, not an entry. For example, given the +/-2 and 3 standard deviations, statistically, if 2.145% of the volume is traded within the upper band extreme, you shouldn’t look for a long trade if the current price is in the band. Likewise, if 2.145% of the volume is traded within the lower band extreme, you shouldn’t look for a short trade if the current price is in the band.
Additionally, we provide traders with the Daily, Weekly, and Monthly OHLC levels. Open, High, Low, and Close are significant levels, especially on major timeframes. Once price has touched the level, the line changes from dashed/dotted to solid.
Features
VWAP Price line and standard deviation waves to analyze the equilibrium and extremes of the sessions trend
Previous Day/WEEK/Month OHLC levels provide Major timeframe key levels
Settings
VWAP Equilibrium: Turn on the VWAP line
VWAP Waves: Turn on the VWAP standard deviation waves
Inner St. Dev: Changes the inner band standard deviation to show the percentage of volume traded within
Outer St. Dev: Changes the outer band standard deviation to show the percentage of volume traded within
Upper Extreme: Change the color of the upper VWAP wave
Lower Extreme: Change the color of the lower VWAP wave
Wave Opacity: Change the opacity of the waves (0= completely transparent, 100=completely solid)
Statistics Table: Turn on or off the statistics table
Statistics Table Settings: Change the Table Color, Text Color, Text Size, and Table Position
Previous Day/Week/Month OHLC: Choose; All, Open, Close, High, Low, and the color of the levels
OHLC Level Settings: Change the OHLC label color, line style, and line width
How to Use
The VWAP price line acts as the 'Fair Value' or the 'Equilibrium' of the price session. Just as the VWAP Waves show the session's upper and lower extreme possibilities. While we can find entries from VWAP , our analysis uses it more as confirmation. OHLC levels are to be used as support and resistance levels. These levels provide us with great entry and target opportunities as they are essential and can show pivots in price action.
Adaptive VWAP Stdev BandsIntroduction
Heyo, here are some adaptive VWAP Standard Deviation Bands with nice colors.
I used Ehlers dominant cycle theories and ZLSMA smoothing to create this indicator.
You can choose between different algorithms to determine the dominant cycle and this will be used as reset period.
Everytime bar_index can be divided through the dominant cycle length and the result is zero VWAP resets if have chosen an adaptive mode in the settings.
The other reset event you can use is just a simple time-based event, e.g. reset every day.
Usage
I think people buy/sell when it reaches extreme zones.
Enjoy!
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Credits to:
@SandroTurriate - VWAP Stdev Bands
@blackcat1402 - Dominant Cycle Analysis
@DasanC - Dominant Cycle Analysis
@veryfid - ZLSMA
(Sry, too lazy for linking)
I took parts of their code. Ty guys for your work! Just awesome.
Aggregated Rolling VWAP +Edit of TradingView's original Rolling VWAP
Edit log:
Added Volume Aggregation Capabilities to the Script
- Price Action is impacted by volume executed in all exchanges. Even though a single exchange RVWAP can be useful, using aggregated data makes it more accurate and saves time in symbol switching.
- Aggregation is preset to be done for Bitcoin Spot Pairs. However this can be changed to Aggregate Volume from any other symbol at the bottom of the setup menu.
Added Symmetrical Deviations to the Script
- Symmetrical deviations create range of "tolerance" around the RVWAP at a fixed % distance. This helps in situations when price does not respect the exact RVWAP level and goes slightly above/under.
- Adding multiple Symmetrical Deviations at different percentage values can give relevant levels for scalping, entries and range trading.
Switched default option to manual TF instead of automatic TF
Added TF Presets for quick switching between different settings. (Feature intended for mobile charting)
Added ON/OFF Switch to all individual deviations to make it easier, faster and cleaner to display different data. (Feature intended for mobile charting)
