ICT Donchian Smart Money Structure (Expo)█ Concept Overview
The Inner Circle Trader (ICT) methodology is focused on understanding the actions and implications of the so-called "smart money" - large institutions and professional traders who often influence market movements. Key to this is the concept of market structure and how it can provide insights into potential price moves.
Over time, however, there has been a notable shift in how some traders interpret and apply this methodology. Initially, it was designed with a focus on the fractal nature of markets. Fractals are recurring patterns in price action that are self-similar across different time scales, providing a nuanced and dynamic understanding of market structure.
However, as the ICT methodology has grown in popularity, there has been a drift away from this fractal-based perspective. Instead, many traders have started to focus more on pivot points as their primary tool for understanding market structure.
Pivot points provide static levels of potential support and resistance. While they can be useful in some contexts, relying heavily on them could provide a skewed perspective of market structure. They offer a static, backward-looking view that may not accurately reflect real-time changes in market sentiment or the dynamic nature of markets.
This shift from a fractal-based perspective to a pivot point perspective has significant implications. It can lead traders to misinterpret market structure and potentially make incorrect trading decisions.
To highlight this issue, you've developed a Donchian Structure indicator that mirrors the use of pivot points. The Donchian Channels are formed by the highest high and the lowest low over a certain period, providing another representation of potential market extremes. The fact that the Donchian Structure indicator produces the same results as pivot points underscores the inherent limitations of relying too heavily on these tools.
While the Donchian Structure indicator or pivot points can be useful tools, they should not replace the original, fractal-based perspective of the ICT methodology. These tools can provide a broad overview of market structure but may not capture the intricate dynamics and real-time changes that a fractal-based approach can offer.
It's essential for traders to understand these differences and to apply these tools correctly within the broader context of the ICT methodology and the Smart Money Concept Structure. A well-rounded approach that incorporates fractals, along with other tools and forms of analysis, is likely to provide a more accurate and comprehensive understanding of market structure.
█ Smart Money Concept - Misunderstandings
The Smart Money Concept is a popular concept among traders, and it's based on the idea that the "smart money" - typically large institutional investors, market makers, and professional traders - have superior knowledge or information, and their actions can provide valuable insight for other traders.
One of the biggest misunderstandings with this concept is the belief that tracking smart money activity can guarantee profitable trading.
█ Here are a few common misconceptions:
Following Smart Money Equals Guaranteed Success: Many traders believe that if they can follow the smart money, they will be successful. However, tracking the activity of large institutional investors and other professionals isn't easy, as they use complex strategies, have access to information not available to the public, and often intentionally hide their moves to prevent others from detecting their strategies.
Instantaneous Reaction and Results: Another misconception is that market movements will reflect smart money actions immediately. However, large institutions often slowly accumulate or distribute positions over time to avoid moving the market drastically. As a result, their actions might not produce an immediate noticeable effect on the market.
Smart Money Always Wins: It's not accurate to assume that smart money always makes the right decisions. Even the most experienced institutional investors and professional traders make mistakes, misjudge market conditions, or are affected by unpredictable events.
Smart Money Activity is Transparent: Understanding what constitutes smart money activity can be quite challenging. There are many indicators and metrics that traders use to try and track smart money, such as the COT (Commitments of Traders) reports, Level II market data, block trades, etc. However, these can be difficult to interpret correctly and are often misleading.
Assuming Uniformity Among Smart Money: 'Smart Money' is not a monolithic entity. Different institutional investors and professional traders have different strategies, risk tolerances, and investment horizons. What might be a good trade for a long-term institutional investor might not be a good trade for a short-term professional trader, and vice versa.
█ Market Structure
The Smart Money Concept Structure deals with the interpretation of price action that forms the market structure, focusing on understanding key shifts or changes in the market that may indicate where 'smart money' (large institutional investors and professional traders) might be moving in the market.
█ Three common concepts in this regard are Change of Character (CHoCH), and Shift in Market Structure (SMS), Break of Structure (BMS/BoS).
Change of Character (CHoCH): This refers to a noticeable change in the behavior of price movement, which could suggest that a shift in the market might be about to occur. This might be signaled by a sudden increase in volatility, a break of a trendline, or a change in volume, among other things.
Shift in Market Structure (SMS): This is when the overall structure of the market changes, suggesting a potential new trend. It usually involves a sequence of lower highs and lower lows for a downtrend, or higher highs and higher lows for an uptrend.
Break of Structure (BMS/BoS): This is when a previously defined trend or pattern in the price structure is broken, which may suggest a trend continuation.
A key component of this approach is the use of fractals, which are repeating patterns in price action that can give insights into potential market reversals. They appear at all scales of a price chart, reflecting the self-similar nature of markets.
█ Market Structure - Misunderstandings
One of the biggest misunderstandings about the ICT approach is the over-reliance or incorrect application of pivot points. Pivot points are a popular tool among traders due to their simplicity and easy-to-understand nature. However, when it comes to the Smart Money Concept and trying to follow the steps of professional traders or large institutions, relying heavily on pivot points can create misconceptions and lead to confusion. Here's why:
Delayed and Static Information: Pivot points are inherently backward-looking because they're calculated based on the previous period's data. As such, they may not reflect real-time market dynamics or sudden changes in market sentiment. Furthermore, they present a static view of market structure, delineating pre-defined levels of support and resistance. This static nature can be misleading because markets are fundamentally dynamic and constantly changing due to countless variables.
Inadequate Representation of Market Complexity: Markets are influenced by a myriad of factors, including economic indicators, geopolitical events, institutional actions, and market sentiment, among others. Relying on pivot points alone for reading market structure oversimplifies this complexity and can lead to a myopic understanding of market dynamics.
False Signals and Misinterpretations: Pivot points can often give false signals, especially in volatile markets. Prices might react to these levels temporarily but then continue in the original direction, leading to potential misinterpretation of market structure and sentiment. Also, a trader might wrongly perceive a break of a pivot point as a significant market event, when in fact, it could be due to random price fluctuations or temporary volatility.
Over-simplification: Viewing market structure only through the lens of pivot points simplifies the market to static levels of support and resistance, which can lead to misinterpretation of market dynamics. For instance, a trader might view a break of a pivot point as a definite sign of a trend, when it could just be a temporary price spike.
Ignoring the Fractal Nature of Markets: In the context of the Smart Money Concept Structure, understanding the fractal nature of markets is crucial. Fractals are self-similar patterns that repeat at all scales and provide a more dynamic and nuanced understanding of market structure. They can help traders identify shifts in market sentiment or direction in real-time, providing more relevant and timely information compared to pivot points.
The key takeaway here is not that pivot points should be entirely avoided or that they're useless. They can provide valuable insights and serve as a useful tool in a trader's toolbox when used correctly. However, they should not be the sole or primary method for understanding the market structure, especially in the context of the Smart Money Concept Structure.
█ Fractals
Instead, traders should aim for a comprehensive understanding of markets that incorporates a range of tools and concepts, including but not limited to fractals, order flow, volume analysis, fundamental analysis, and, yes, even pivot points. Fractals offer a more dynamic and nuanced view of the market. They reflect the recursive nature of markets and can provide valuable insights into potential market reversals. Because they appear at all scales of a price chart, they can provide a more holistic and real-time understanding of market structure.
In contrast, the Smart Money Concept Structure, focusing on fractals and comprehensive market analysis, aims to capture a more holistic and real-time view of the market. Fractals, being self-similar patterns that repeat at different scales, offer a dynamic understanding of market structure. As a result, they can help to identify shifts in market sentiment or direction as they happen, providing a more detailed and timely perspective.
Furthermore, a comprehensive market analysis would consider a broader set of factors, including order flow, volume analysis, and fundamental analysis, which could provide additional insights into 'smart money' actions.
█ Donchian Structure
Donchian Channels are a type of indicator used in technical analysis to identify potential price breakouts and trends, and they may also serve as a tool for understanding market structure. The channels are formed by taking the highest high and the lowest low over a certain number of periods, creating an envelope of price action.
Donchian Channels (or pivot points) can be useful tools for providing a general view of market structure, and they may not capture the intricate dynamics associated with the Smart Money Concept Structure. A more nuanced approach, centered on real-time fractals and a comprehensive analysis of various market factors, offers a more accurate understanding of 'smart money' actions and market structure.
█ Here is why Donchian Structure may be misleading:
Lack of Nuance: Donchian Channels, like pivot points, provide a simplified view of market structure. They don't take into account the nuanced behaviors of price action or the complex dynamics between buyers and sellers that can be critical in the Smart Money Concept Structure.
Limited Insights into 'Smart Money' Actions: While Donchian Channels can highlight potential breakout points and trends, they don't necessarily provide insights into the actions of 'smart money'. These large institutional traders often use sophisticated strategies that can't be easily inferred from price action alone.
█ Indicator Overview
We have built this Donchian Structure indicator to show that it returns the same results as using pivot points. The Donchian Structure indicator can be a useful tool for market analysis. However, it should not be seen as a direct replacement or equivalent to the original Smart Money concept, nor should any indicator based on pivot points. The indicator highlights the importance of understanding what kind of trading tools we use and how they can affect our decisions.
The Donchian Structure Indicator displays CHoCH, SMS, BoS/BMS, as well as premium and discount areas. This indicator plots everything in real-time and allows for easy backtesting on any market and timeframe. A unique candle coloring has been added to make it more engaging and visually appealing when identifying new trading setups and strategies. This candle coloring is "leading," meaning it can signal a structural change before it actually happens, giving traders ample time to plan their next trade accordingly.
█ How to use
The indicator is great for traders who want to simplify their view on the market structure and easily backtest Smart Money Concept Strategies. The added candle coloring function serves as a heads-up for structure change or can be used as trend confirmation. This new candle coloring feature can generate many new Smart Money Concepts strategies.
█ Features
Market Structure
The market structure is based on the Donchian channel, to which we have added what we call 'Structure Response'. This addition makes the indicator more useful, especially in trending markets. The core concept involves traders buying at a discount and selling or shorting at a premium, depending on the order flow. Structure response enables traders to determine the order flow more clearly. Consequently, more trading opportunities will appear in trending markets.
Structure Candles
Structure Candles highlight the current order flow and are significantly more responsive to structural changes. They can provide traders with a heads-up before a break in structure occurs
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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!
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Adjusted OBVThis script shows On-Balance Volume adjusted for volume weighted candle body size.
This means that the wick lengths, body length, and sell/buy pressure are calculated into percentages of volume that contributed to each.
The body volume is the accumulatively tracked across candles to give a more accurate On-Balance Volume that has been traded to achieve the current price over time.
The script output is in Orange and for comparison the original technical OBV is in Blue.
As this is my first script, I hope to update it to include a 'buy' and 'sell' pressure gauge to perhaps turn this from a mere indicator into potentially a bit more predictive.
In the meantime, it should be useful for tracking OBV for other uses in a more accurate and less volatile way.
Cuban's Open Interest Spaghetti [CE]Cuban's Open Interest Spaghetti is an indicator built for traders to track the open interest changes of highly correlated markets, spreads, and ecosystems.
The tool provides three different viewing modes for tracking open interest; a rolling bar lookback, a specific data and time anchor, and a visible range -- similar to the native Tradingview 'Compare' tool.
Included are pre-built lists for tracking the open interest of all 160+ Binance Futures assets, including custom fields for creating new spreads or watchlists. This gives the trader the ability to monitor the entire futures ecosystem within a single charting window.
We have also added an optional table to the right of the screen so that the trader can clearly see outperforming assets. This table is toggleable using radio buttons within the Style menu.
To improve asset visibility, the script also calculates the 'long tail' of the asset distribution and automatically lowers the visibility of clustered assets in the center.
While the Compare tool only allows for % returns and absolute value on the chart asset or separate scale, Cuban's Open Interest Spaghetti allows the trader to use a separate oscillator window with the open interest on a % scale. This gives the trader the ability to watch OI changes in real-time within any Tradingview window.
Within the user inputs, the user gains the ability to customize the following:
Lookback mode
Rolling lookback period
Timezone and time anchor
Percentage of assets highlighted
Dynamic label offset
Asset lists
TO DO:
Add % labels to assets in the tails of the distribution
Expected Move w/ Volatility Panel (advanced) [Loxx]This indicator shows the expected range of movement of price given the assumption that price is log-normally distributed. This includes 3 multiples of standard deviation and 1 user selected level input as a multiple of standard deviation. Expected assumes that volatility remains static on the next bar. In reality, this may or may not be the case, so use caution when making broad assumptions about the levels shown when using this indicator. However, these levels match the same levels on Loxx's backtests and Multi-Panel indicator. These static levels are used as the take profit targets and stoploss on all Loxx's scripts previously posted.
This indicator can be be used on all timeframes, but the internal timeframe must be higher than the current timeframe or an error is thrown. The purpose for internal MTF is so that you can track the deviation range from higher timeframes on lower timeframes. When "current bar" is selected, this indicator will change with live prices changes. This is useful if you wish to enter a trade before the current bar closes and need to know the deviation ranges before the close. Current bar is also useful to see the past ranges of literally that bar. When "past bar" is selected, then the values shown on the current bar are values that were calculated on the last bar. The previous bar setting is useful to track price changes with the assumption that you entered a trade at the close of the previous bar. The default set to the previous bar. (careful, this default setting won't match Loxx's Muti-Panel tool since the Multi-Panel is built using the current bar. To make them match, you must change this setting to current bar)
I've included the ability for you to smooth the output around a moving average. Included are Loxx's Moving Averages. There are 41 to choose from. See more details here:
Smoothing applied yielding Keltner Channels
Also included are various UI options to manipulate line styling and colors.
Volatility Panel
Shows information about user selected volatility included confidence range of the chosen volatility. The following volatility types are included with additional volatility types to added in future releases.
Close-to-Close
Close-to-Close volatility is a classic and most commonly used volatility measure, sometimes referred to as historical volatility .
Volatility is an indicator of the speed of a stock price change. A stock with high volatility is one where the price changes rapidly and with a bigger amplitude. The more volatile a stock is, the riskier it is.
Close-to-close historical volatility calculated using only stock's closing prices. It is the simplest volatility estimator. But in many cases, it is not precise enough. Stock prices could jump considerably during a trading session, and return to the open value at the end. That means that a big amount of price information is not taken into account by close-to-close volatility .
Despite its drawbacks, Close-to-Close volatility is still useful in cases where the instrument doesn't have intraday prices. For example, mutual funds calculate their net asset values daily or weekly, and thus their prices are not suitable for more sophisticated volatility estimators.
Parkinson
Parkinson volatility is a volatility measure that uses the stock’s high and low price of the day.
The main difference between regular volatility and Parkinson volatility is that the latter uses high and low prices for a day, rather than only the closing price. That is useful as close to close prices could show little difference while large price movements could have happened during the day. Thus Parkinson's volatility is considered to be more precise and requires less data for calculation than the close-close volatility .
One drawback of this estimator is that it doesn't take into account price movements after market close. Hence it systematically undervalues volatility . That drawback is taken into account in the Garman-Klass's volatility estimator.
Garman-Klass
Garman Klass is a volatility estimator that incorporates open, low, high, and close prices of a security.
Garman-Klass volatility extends Parkinson's volatility by taking into account the opening and closing price. As markets are most active during the opening and closing of a trading session, it makes volatility estimation more accurate.
Garman and Klass also assumed that the process of price change is a process of continuous diffusion (geometric Brownian motion). However, this assumption has several drawbacks. The method is not robust for opening jumps in price and trend movements.
Despite its drawbacks, the Garman-Klass estimator is still more effective than the basic formula since it takes into account not only the price at the beginning and end of the time interval but also intraday price extremums.
Researchers Rogers and Satchel have proposed a more efficient method for assessing historical volatility that takes into account price trends. See Rogers-Satchell Volatility for more detail.
Rogers-Satchell
Rogers-Satchell is an estimator for measuring the volatility of securities with an average return not equal to zero.
Unlike Parkinson and Garman-Klass estimators, Rogers-Satchell incorporates drift term (mean return not equal to zero). As a result, it provides a better volatility estimation when the underlying is trending.
The main disadvantage of this method is that it does not take into account price movements between trading sessions. It means an underestimation of volatility since price jumps periodically occur in the market precisely at the moments between sessions.
A more comprehensive estimator that also considers the gaps between sessions was developed based on the Rogers-Satchel formula in the 2000s by Yang-Zhang. See Yang Zhang Volatility for more detail.
Yang-Zhang
Yang Zhang is a historical volatility estimator that handles both opening jumps and the drift and has a minimum estimation error.
We can think of the Yang-Zhang volatility as the combination of the overnight (close-to-open volatility ) and a weighted average of the Rogers-Satchell volatility and the day’s open-to-close volatility . It considered being 14 times more efficient than the close-to-close estimator.
Garman-Klass-Yang-Zhang
Garman Klass is a volatility estimator that incorporates open, low, high, and close prices of a security.
Garman-Klass volatility extends Parkinson's volatility by taking into account the opening and closing price. As markets are most active during the opening and closing of a trading session, it makes volatility estimation more accurate.
Garman and Klass also assumed that the process of price change is a process of continuous diffusion (geometric Brownian motion). However, this assumption has several drawbacks. The method is not robust for opening jumps in price and trend movements.
Despite its drawbacks, the Garman-Klass estimator is still more effective than the basic formula since it takes into account not only the price at the beginning and end of the time interval but also intraday price extremums.
Researchers Rogers and Satchel have proposed a more efficient method for assessing historical volatility that takes into account price trends. See Rogers-Satchell Volatility for more detail.
Exponential Weighted Moving Average
The Exponentially Weighted Moving Average (EWMA) is a quantitative or statistical measure used to model or describe a time series. The EWMA is widely used in finance, the main applications being technical analysis and volatility modeling.
The moving average is designed as such that older observations are given lower weights. The weights fall exponentially as the data point gets older – hence the name exponentially weighted.
The only decision a user of the EWMA must make is the parameter lambda. The parameter decides how important the current observation is in the calculation of the EWMA. The higher the value of lambda, the more closely the EWMA tracks the original time series.
Standard Deviation of Log Returns
This is the simplest calculation of volatility . It's the standard deviation of ln(close/close(1))
Pseudo GARCH(2,2)
This is calculated using a short- and long-run mean of variance multiplied by θ.
θavg(var ;M) + (1 − θ) avg (var ;N) = 2θvar/(M+1-(M-1)L) + 2(1-θ)var/(M+1-(M-1)L)
Solving for θ can be done by minimizing the mean squared error of estimation; that is, regressing L^-1var - avg (var; N) against avg (var; M) - avg (var; N) and using the resulting beta estimate as θ.
Average True Range
The average true range (ATR) is a technical analysis indicator, introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems, that measures market volatility by decomposing the entire range of an asset price for that period.
The true range indicator is taken as the greatest of the following: current high less the current low; the absolute value of the current high less the previous close; and the absolute value of the current low less the previous close. The ATR is then a moving average, generally using 14 days, of the true ranges.
True Range Double
A special case of ATR that attempts to correct for volatility skew.
Chi-squared Confidence Interval:
Confidence interval of volatility is calculated using an inverse CDF of a Chi-Squared Distribution. You can change the volatility input used to either realized, upper confidence interval, or lower confidence interval. This is included in case you'd like to see how far price can extend if volatility hits it's upper or lower confidence levels. Generally, you'd just used realized volatility , so I wouldn't change this setting.
Inverse CDF of a Chi-Squared Distribution
The chi-square distribution is a one-parameter family of curves. The parameter ν is the degrees of freedom.
The icdf of the chi-square distribution is
x=F^−1(p∣ν) = {x:F(x∣ν) = p}
where
p=F(x∣ν)= ∫ (t^(v-2)/2 * e^t/2) / (2^(v/2) / Γ(v/2))
ν is the degrees of freedom, and Γ( · ) is the Gamma function. The result p is the probability that a single observation from the chi-square distribution with ν degrees of freedom falls in the interval .
Related Indicators
Multi-Panel: Trade-Volatility-Probability
Variety Distribution Probability Cone
[PlayBit] FVG/EMAThis Indicator was made for the PlayBit Community by @FFriZz
This indicator includes 2 of the most used indicators within the community
1. FVG indicator -- Very minimalistic version seems to be the most used
2. EMA indicator -- Indicator made by using two 200 EMAs one tracking highs and one tracking closes -- to form a 200 EMA Channel
-- The EMA Can be used as a single one on the current chart or there are 5 other options that will allow you to track up to 5 timeframes
higher or lower
----- Options ------
-- FVGs --
1. Ability to keep FVGs on chart when Filled/Mitigated or have them Deleted
2. Setting to Change the border of the FVG when it has been tested
3. Can have the FVGs resize to the untapped area
4. Setting to adjust the number of FVGs that are displayed on Chart at a time
-- EMA --
1. Up to 5 Different timeframes
2. Color Switch if close is above or below EMAs
3. Color Settings
Shout out to the PlayBit Community
for being a great community for Trading and in general!
If anyone finds any bugs Please let me know on here or on PlayBit
or if I removed something in this version you would like to see put back..
Hope you enjoy!
@FFriZz | @FrizLabz
WilliamTrendFollowerWith this indicator, we try to catch the trends in price. With continued use of this indicator, we expect it to eventually escape horizontal positions and catch up with continuous trends.
Combined with the WilliamsR indicator and the exponential moving average indicator.
The WilliamsR Fisher Transforms are combined with the ATR indicator to create a line that lags behind the moving average value.
Since it is a tracking indicator, we created a line that is more connected to the price and itself.
In this way, a curve close to the price line is obtained in uptrends and downtrends.
In this indicator, if you choose the parameters correctly, you can easily bypass the horizontal positions. This gives you a safe visualization of support and resistance points as well.
With this tracker, you can generate Buy and Sell signals and you can see them on the chart.
From the settings of these indicators, you can set the multiplier and the exponential moving average period.
It works in all time intervals.
But it was calculated without volume , instead it was created using fisher transforms, moving averages, and the average true range .
You can set an alarm for Buy and Sell orders.
You can see the processing entry and exit areas in a straight line.
The Fisher Transform indicator is an oscillator that helps identify trend reversals and can be applied to any financial instrument. J.F. Created by Ehlers
Triple CSWhat this indicator does:
This indicator will be scanning for ranges of extremity.
It measures multiple underlying factors in the financial markets like measuring levels of strength using RSI, momentum using Stochastics and extreme ranges using Bollinger Bands.
What is "extreme range" criteria: ranges above 70 or below 30 on RSI and Stoch are considered extreme, as well as moments of extreme volatility exceeding overbought and oversold levels on BBs.
All monitored data is to be plotted in a horizontal row, providing information about oversold, overbought and mid-range market conditions. This data will either meet the criteria simultaneously and plot a Red or Green indication or it will miss one or more requirements, plotting Gray indications.
This indicator is a real-time indicator, meaning it's updating live and due to this tracking in real-time, indications not yet 'printed' can give false readings. For performance purposes, it is best practice to allow all indication plots to 'print', meaning if a plot ever changes in color, it's best to allow that candle to fully close , ticking to 0:00 before confirming the accuracy of the indicator's findings.
How it works:
This indicator scans multiple sources of data simultaneously. When appropriate conditions within a trading range are met, the indicator will update it's color.
The indicator will plot Gray , Green , and Red indications which can be explained below.
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Grey plots : No indication of full extremity, meaning one or more conditions being tracked has not met requirements, suggesting price is likely in mid-range.
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Green plots : Extremity level lows have been simultaneously met, data indicates extreme oversold conditions are likely present.
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Red plots : Extremity level highs have been simultaneously met, data indicates extreme overbought conditions are likely present.
What market will this indicator work on?
Stocks > Forex > Crypto
All the above are supported by this indicator.
Charts with more history have more data for the indicator to utilize. (Lack of data can result in poor performance.)
- This indicator performs best on 4H, 12H, D, and W timeframes, although you can use this indicator on any timeframe TradingView supports.
This indicator was created to find ranges of extreme trade which can help traders be more confident in their timing with the market.
Trading can be difficult, let an algorithm scan the market and monitor for early signs of volatility changes.
Past performance does not guarantee future results. Please do your due diligence when placing trades.
Compare Crypto Bollinger Bands//This is not financial advice, I am not a financial advisor.
//What are volatility tokens?
//Volatility tokens are ERC-20 tokens that aim to track the implied volatility of crypto markets.
//Volatility tokens get their exposure to an asset’s implied volatility using FTX MOVE contracts.
//There are currently two volatility tokens: BVOL and IBVOL.
//BVOL targets tracking the daily returns of being 1x long the implied volatility of BTC
//IBVOL targets tracking the daily returns of being 1x short the implied volatility of BTC.
/////////////////////////////////////////////////////////////////
CAN USE ON ANY CRYPTO CHART AS BINANCE:BTCUSD is still the most dominant crypto, positive volatility for BTC is positive for all.
/////////////////////////////////////////////////////////////////
//The Code.
//The blue line (ChartLine) is the current chart plotted on in Bollinger
//The red line (BVOLLine) plots the implied volatility of BTC
//The green line (IBVOLLine) plot the inverse implied volatility of BTC
//The orange line (TOTALLine) plots how well the crypto market is performing on the Bolling scale. The higher the number the better.
//There are 2 horizontal lines, 0.40 at the bottom & 0.60 at the top
/////////To Buy
//1. The blue line (ChartLine) must be higher than the green line (IBVOLLine)
//2. The green line (IBVOLLine) must be higher than the red line (BVOLLine)
//3. The red line (BVOLLine) must be less than 0.40 // This also acts as a trendsetter
//4. The orange line (TOTALLine) MUST be greater than the red line. This means that the crypto market is positive.
//5.IF THE BLUE LINE (ChartLine) IS GREATER THAN THE ORANGE LINE (TOTALLine) IT MEANS YOUR CRYPTO IS OUTPERFOMING THE MARKET {good for short term explosive bars}
//6. If the orange line (TOTALLine) is higher than your current chart, say BTCUSD. And BTC is going up to. It just means BTC is going up slowly. it's fine as long as they are moving in the same position.
//5. I use this on the 4hr, 1D, 1W timeframes
///////To Exit
//1.If the blue line (ChartLine) crosses under the green line (IBVOLLine) exit{ works best on 4hr,1D, 1W to avoid fakes}
//2.If the red line crosses over the green line when long. {close positions, or watch positions} It means negative volatility is wining
RedK Compound Ratio Moving Average (CoRa_Wave)
Compound Ratio Weighted Average (CoRa_Wave) is a moving average where the weights increase in a "logarithmically linear" way - from the furthest point in the data to the current point - the formula to calculate these weights work in a similar way to how "compound ratio" works - you start with an initial amount, then add a consistent "ratio of the cumulative prior sum" each period until you reach the end amount. The result is, the "step ratio" between the weights is consistent - This is not the case with linear-weights moving average (WMA), or EMA
- for example, if you consider a Weighted Moving Average (WMA) of length 5, the weights will be (from the furthest point towards the most current) 1, 2, 3, 4, 5 -- we can see that the ratio between these weights are inconsistent. in fact, the ratio between the 2 furthest points is 2:1, but the ratio between the most recent points is 5:4 -- the ratio is inconsistent, and in fact, more recent points are not getting the best weights they should/can get to counter-act the lag effect. Using the Compound ratio approach addresses that point.
a key advantage here is that we can significantly reduce the "tail weight" - which is "relatively" large in other MAs and would be main cause for lag - giving more weights to the most recent data points - and in a way that is consistent, reliable and easy to "code"
- the outcome is, a moving average line that suffers very little lag regardless of the length, and that can be relied on to track the price movements and swings closely.
other features:
===============
- An accelerator, or multiplier, has been added to further increase the "aggressiveness" of the moving average line, giving even more weights to the more recent points - the multiplier will have more effect between 1 and 5, then will have a diminishing effect after that - note that a multiplier of 0 (which effectively causes a comp. ratio of 0 to be applied) will produce a Simple Moving Average line :)
- We also added the ability to use an "automatic smoothing" mechanism, that user can over-ride by manually choosing how much smoothing is used. This gives more flexibility to how we can leverage this Moving Average in our charting.
- User can also select the Resolution and Source price for the CoRa_Wave. by default, they will be set to "same as chart" and hlc3
here are the formulas for our Compound Ratio moving average:
Compound Weight ratio r = (A/P)^1/t - 1
Weight at time t A = P(1 + r)^t
= Start_val * (1 + r) ^ index
index in the above formula is 0 for the furthest point out
Here's how CoRa_Wave compares to other common moving averages all set to the same length (20)
Proposed Usage
- CoRa_Wave can be used for any scenarios where we need a moving average that closely tracks the price, trend, swings with high responsiveness and little lag
- MA Cross-over scenarios - against another CoRa_Wave or any other MA
- below is a quick example scenario for how to utilize 2 CoRa_Wave lines of same length (one for open and one for closing price) to track swings and trends
- get as creative as you need :)
Code is commented - please feel free to leverage or customize further as you need.
👉 if you are interested in other moving averages i posted before, please check out the FiMA and the v_Wave ...
Reversal Algo (Expo)"It has never been easier to find high probability trades"
Reversal Algo (Expo) is an automated Reversal System that analyzes the market in real-time and identifies high probability short term and long term trend reversal- and scalping signals as well as key market zones, and trends. The adaptive and unique reversal bands act as support & resistance zones, and together with the trend tracking feature, it serves as a trend confirmation. The system does also comes with a Top & Bottom finder that detects potential tops and bottoms that can be used as scalping entries or take profit points.
This Reversal System is developed to catch both short term and long term trend reversal and provide clarity in the current trend direction. The system aims to make it easier to come in early in a new trend as well as to stay longer in that trend. One of the main features is that the system has already filtered out false and choppy signals and aims to leave the most accurate ones.
One of the main goals was to make a system that works well without having Heiken Ashi candles. However, if you apply the system to Heiken Ashi candles you will have an additional layer of noise filtering.
Key differences between Trend Algo and Reversal Algo are that Reversal Algo is more responsive to price action and has a dynamic and adaptive Reversal cloud. The Reversal Algo does also has the tops/bottoms finder. These two systems can be used together.
The user can enable the following:
ATR Trailing Stop - Helps to identify the trend as well as where to have your stop loss.
Trend Tracking Line - Helps to identify Strong trends and areas of trend reversals.
Trend Steps- Helps to highlight where the current trend direction has found a new base.
Reversal Band - Helps to identify the trading range, strong trends, and areas of reversals.
Trend Scalping Dots - Helps to keep track of the short term price action.
Noise- and Signal filters:
Depending on your trading style you can choose between different trend filters and signals sensitivities.
Real-Time Alerts
No Repainting
Works on any market and in any timeframe
The indicator can be used standalone or as a part of your current trading strategy.
HOW TO USE
Use the indicator to identify reversal signals.
Use the indicator to identify trends.
Use the indicator to identify tops & bottoms signals.
Use the indicator to identify scalping signals.
INDICATOR IN ACTION
1-hour chart
Top/Bottom Finder
1-hour chart
I hope you find this indicator useful , and please comment or contact me if you like the script or have any questions/suggestions for future improvements. Thanks!
I will continually work on this indicator, so please share your experience and feedback as it will enable me to make even better improvements. Thanks to everyone that has already contacted me regarding my scripts. Your feedback is valuable for future developments!
-----------------
Disclaimer
Copyright by Zeiierman.
The information contained in my scripts/indicators/ideas 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, 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/strategies/ideas are only for educational purposes!
ACCESS THE INDICATOR
• Contact me on TradingView or use the links below
ACAT (450-600 Hi-Res) [acatwithcharts]Adaptive Comprehensive Average Tracker is a 2 in 1 version of Mean Reversion MA and Compression MA. The slightly odd name is a backronym that spells "ACAT" - suffice it to say, I'm pretty proud of what these two indicators have developed into.
This is 4 of 4 in a series of Hi-Res indicators from 14-600 that are intended to be used in concert weaved together. Some of the default display settings are slightly tweaked to account for the assumption that they would not be used by themselves individual. The labels are intended to weave with the other instances of ACAT, which is very obviously not something that was designed for in the v4 labeling code and works about as passably well as I could get it, noting that coming up with a method for setting variable distances that always looks sharp across instruments and timeframes is near-impossible.
Compared to what subscribers will be used to from using standard resolution ACAT, this should greatly sharpen the borders of the compression bands in particular. A key caveat to be aware of is that dividing the range into multiple instances like this means that there can be tracking of several distributions at the same time if different indicators are triggering independently after being reset on different ranges - which in some cases means more relevant periods are being identified but often times can mean a mess of information with some less important periods being overlaid as if they were of equal importance to the longest period lengths.
My volatility indicators are available by subscription in several packages through SharkCharts.live - and this is planned to be the first new one ready to add. I plan to on totally overhauling my explanation videos on ACAT since the indicator just does so much more than it used to when the previous videos were recorded, but as of the time of this writing the videos on Mean Reversion MA, Compression MA, and my livestream with DadShark do cover most parts of it. These videos and videos on my other indicators are currently hosted on DadShark's YouTube channel.
Current pricing and subscription details will be kept up-to-date on SharkCharts.live
ACAT (300-450 Hi-Res) [acatwithcharts]Adaptive Comprehensive Average Tracker is a 2 in 1 version of Mean Reversion MA and Compression MA. The slightly odd name is a backronym that spells "ACAT" - suffice it to say, I'm pretty proud of what these two indicators have developed into.
This is 3 of 4 in a series of Hi-Res indicators from 14-600 that are intended to be used in concert weaved together. Some of the default display settings are slightly tweaked to account for the assumption that they would not be used by themselves individual. The labels are intended to weave with the other instances of ACAT, which is very obviously not something that was designed for in the v4 labeling code and works about as passably well as I could get it, noting that coming up with a method for setting variable distances that always looks sharp across instruments and timeframes is near-impossible.
Compared to what subscribers will be used to from using standard resolution ACAT, this should greatly sharpen the borders of the compression bands in particular. A key caveat to be aware of is that dividing the range into multiple instances like this means that there can be tracking of several distributions at the same time if different indicators are triggering independently after being reset on different ranges - which in some cases means more relevant periods are being identified but often times can mean a mess of information with some less important periods being overlaid as if they were of equal importance to the longest period lengths.
My volatility indicators are available by subscription in several packages through SharkCharts.live - and this is planned to be the first new one ready to add. I plan to on totally overhauling my explanation videos on ACAT since the indicator just does so much more than it used to when the previous videos were recorded, but as of the time of this writing the videos on Mean Reversion MA, Compression MA, and my livestream with DadShark do cover most parts of it. These videos and videos on my other indicators are currently hosted on DadShark's YouTube channel.
Current pricing and subscription details will be kept up-to-date on SharkCharts.live
ACAT (150-300 Hi-Res) [acatwithcharts]Adaptive Comprehensive Average Tracker is a 2 in 1 version of Mean Reversion MA and Compression MA. The slightly odd name is a backronym that spells "ACAT" - suffice it to say, I'm pretty proud of what these two indicators have developed into.
This is 2 of 4 in a series of Hi-Res indicators from 14-600 that are intended to be used in concert weaved together. Some of the default display settings are slightly tweaked to account for the assumption that they would not be used by themselves individual. The labels are intended to weave with the other instances of ACAT, which is very obviously not something that was designed for in the v4 labeling code and works about as passably well as I could get it, noting that coming up with a method for setting variable distances that always looks sharp across instruments and timeframes is near-impossible.
Compared to what subscribers will be used to from using standard resolution ACAT, this should greatly sharpen the borders of the compression bands in particular. A key caveat to be aware of is that dividing the range into multiple instances like this means that there can be tracking of several distributions at the same time if different indicators are triggering independently after being reset on different ranges - which in some cases means more relevant periods are being identified but often times can mean a mess of information with some less important periods being overlaid as if they were of equal importance to the longest period lengths.
My volatility indicators are available by subscription in several packages through SharkCharts.live - and this is planned to be the first new one ready to add. I plan to on totally overhauling my explanation videos on ACAT since the indicator just does so much more than it used to when the previous videos were recorded, but as of the time of this writing the videos on Mean Reversion MA, Compression MA, and my livestream with DadShark do cover most parts of it. These videos and videos on my other indicators are currently hosted on DadShark's YouTube channel.
Current pricing and subscription details will be kept up-to-date on SharkCharts.live
ACAT (14-150 Hi-Res) [acatwithcharts]Adaptive Comprehensive Average Tracker is a 2 in 1 version of Mean Reversion MA and Compression MA. The slightly odd name is a backronym that spells "ACAT" - suffice it to say, I'm pretty proud of what these two indicators have developed into.
This is 1 of 4 in a series of Hi-Res indicators from 14-600 that are intended to be used in concert weaved together. Some of the default display settings are slightly tweaked to account for the assumption that they would not be used by themselves individual. The labels are intended to weave with the other instances of ACAT, which is very obviously not something that was designed for in the v4 labeling code and works about as passably well as I could get it, noting that coming up with a method for setting variable distances that always looks sharp across instruments and timeframes is near-impossible.
Compared to what subscribers will be used to from using standard resolution ACAT, this should greatly sharpen the borders of the compression bands in particular. A key caveat to be aware of is that dividing the range into multiple instances like this means that there can be tracking of several distributions at the same time if different indicators are triggering independently after being reset on different ranges - which in some cases means more relevant periods are being identified but often times can mean a mess of information with some less important periods being overlaid as if they were of equal importance to the longest period lengths.
My volatility indicators are available by subscription in several packages through SharkCharts.live - and this is planned to be the first new one ready to add. I plan to on totally overhauling my explanation videos on ACAT since the indicator just does so much more than it used to when the previous videos were recorded, but as of the time of this writing the videos on Mean Reversion MA, Compression MA, and my livestream with DadShark do cover most parts of it. These videos and videos on my other indicators are currently hosted on DadShark's YouTube channel.
Current pricing and subscription details will be kept up-to-date on SharkCharts.live
SD85 My Special MACD v2Hello and welcome to SD85!
Happy holiday and happy new year. As a gift, I want to give people a stable tool to help us trade successfully.
If I do help us trade, please consider to donate to our paypal account, I would really apprectiated: ZonnieAdvertising@gmail.com
Here is an updated version of our special MACD, version 2. The sole purpose of this indicator is to track the movement and momentum of any market or any instrument. This is an important concept to keep in mind. This is built as an oscullator so also keep this in mind for the 80,20 levels for overbought and oversold respectively. This special MACD has three values: the current trend, mid trend, and higher trend and a fill from 45 to 55 that tracks the value of mid and high trend: higher trend is greater than mid trend, it's green; higher trend is lesser than mid trend, it's red.
Most important concept for this indicator: The current trend and mid trend will always want to get back with the higher trend; therefore, always keep track of the higher trend and trade accordingly.
It's important to trade with sound money management( trade with a maximum of 2% of your balance) and with a higher time frame (minimum of 4-hour chart). With that being said, it is safer to trade with the higher trend. Although, it is also many times, rewarding to try to catch the beginning of a reversal/trend change.
We will discuss different ways to trade from safest to riskiest as follow:
Safe trading:
Buy - higher trend should be at 100, with both current trend and mid-trend near zero. Middle fill color should be green. Check for divergence and enter buy when current-trend begins to rise with mid-trend or when current trend crosses over mid-trend. Buy example below:
photos.google.com
Sell - higher trend should be at 0, with both current trend and mid-trend near 100. Middle fill color should be red. Check for divergence and enter sell when current-trend begins to descend with mid-trend or when current trend crosses under mid-trend. Sell example below:
photos.google.com
Tip: For the fill color between current trend and mid-trend, the skinnier it is, the stronger the movement; vice versa, the fatter it is, the weaker the move or the higher the chance it reverses. Also, again, check for divergence!
Simple and think free trades:
Buy when the middle bar is green and current trend crosses over mid-trend below 10 and exit when it crosses under or gets to 100.
Sell when the middle bar is red and current-trend crosses under mid-trend above 90 and exit when it crosses over or reaches to 0.
Tip: When you see they cross, check for Divergence before pulling the trigger for added peace of mind (it is one of the main concepts of MACD - Moving Average Convergence Divergence). If you don't know, make sure to research and learn more about it.
Counter Trend Trade:
As much as current-trend and mid-trend love to come back to higher-trend, when they get together, they reject each other.
The only time you can counter-trend is when all three values are at or near 100 or at or near 0 and current trend breaks away. Check for divergence and then enter, exit when it reaches the opposite side. Obviously, this is a lot more risky trade but it is often rewarding. If you chose to go this route, I need to repeat: check for DIVERGENCE with any of the trend value, any divergence would suffice to trade. Counter-trend example below:
photos.google.com
Final tip: always be patient and check for divergence because market often has an imbalance before it reverses.
Final words: This is important to worth mentioning again, especially for beginner people: Use a maximum of 2% of your balance. Don't be greedy and you will blow your account. I use this method without stop loss because there are stop-loss hunter brokers out there. Just be safe. Use this money management system and you will see your account grow very fast. Trade only one trade at a time.
Please consider this indicator as educational purposes. All trades are risky and have the potential to lose all and more than you have in the account. Trade with care.
With that, again, happy holiday and a happy new year 2019. If I do help us trade, please consider to donate to our Paypal account, I would really appreciated: ZonnieAdvertising@gmail.com
Hope 2019 brings you prosperity, wealth and health. Many pips to you and yours!
SD85
Adaptive VWAP📌 Adaptive VWAP (AVWAP) — Volatility-Responsive Volume Weighted Average Price
Overview:
The Adaptive VWAP (AVWAP) is an enhanced and intelligent version of the traditional Volume Weighted Average Price (VWAP). Unlike standard VWAPs that reset at the start of each trading session, this script recalculates dynamically based on real-time market volatility, making it suitable for any timeframe and any asset class.
This tool is ideal for trend-followers, mean-reversion traders, and volatility-sensitive strategies, providing a smarter way to track average price and spot key support/resistance zones.
🔍 Key Features:
📈 Adaptive Lookback Length
Automatically adjusts the VWAP calculation length based on ATR-based market volatility. When volatility increases, the length shortens for faster responsiveness; when volatility contracts, the length expands to smooth out noise.
📊 Standard Deviation Bands (Optional)
Upper and lower bands are calculated based on volume-weighted variance, providing dynamic support and resistance zones. These help identify overbought/oversold levels or volatility breakouts.
🧠 Smoothing Factor
A user-defined smoothing option reduces sensitivity to short-term spikes in volatility, ensuring cleaner signals.
🧾 Real-Time Info Table
Displays key stats including the current adaptive length, volatility ratio, and VWAP value to help traders interpret how the indicator is adjusting to market conditions.
⚙️ How It Works (Technical Summary):
Volatility Measurement: Uses ATR (Average True Range) over a user-defined period to detect recent market volatility.
Adaptive Length Calculation: Compares the current ATR to its moving average to compute a volatility ratio. This ratio dynamically scales the VWAP length between length_min and length_max.
Smoothing: The adaptive length is then smoothed using a simple moving average for stability.
AVWAP Calculation: The VWAP is calculated using cumulative typical price × volume, divided by total volume over the adaptive window.
Deviation Bands: Volume-weighted standard deviation is used to draw bands above and below the AVWAP, similar to Bollinger Bands, but adjusted for volume and volatility.
🧠 Why Use AVWAP?
Unlike fixed-length VWAPs or session-bound versions, AVWAP adapts intelligently to changing market conditions. It behaves conservatively in stable markets and becomes more reactive in volatile environments — all without manual intervention. This makes it highly useful for:
✅ Tracking fair value on any timeframe
✅ Identifying dynamic support and resistance
✅ Spotting volatility shifts early
✅ Confirming trend continuation or potential reversals
🛠️ Customizable Inputs:
length_min / length_max — Range of adaptive lookback periods
volatility_period — ATR period used to measure volatility
smoothing — Smoothing for adaptive length
deviation_multiplier — Controls the width of the upper/lower bands
show_bands — Toggle to enable or disable deviation bands
color options — Customize VWAP and band colors
📌 Usage Notes:
This script does not reset daily — it continuously adapts to market structure.
Works well with stocks, crypto, forex, commodities, and indices.
Best used with price action confirmation, support/resistance zones, or momentum indicators for entries/exits.
Can be applied in scalping, swing trading, or long-term charting setups.
This indicator is designed to work on any timeframe and any market — from stocks and indices to forex and crypto.
To get the best results:
Timeframe Usage:
Works well on 5-min, 15-min, 1H, and daily charts.
On lower timeframes, try reducing the length_min and volatility_period for faster adaptation.
On higher timeframes (daily/weekly), consider increasing smoothing for a cleaner trend.
Trading Ideas:
Use AVWAP as a dynamic support/resistance line. Look for price bounces or breaks.
The deviation bands can be used like Bollinger Bands:
Upper band: potential resistance or overbought area.
Lower band: potential support or oversold area.
During sideways markets, price often oscillates around AVWAP — great for mean reversion.
During trending markets, AVWAP can act as a pullback entry zone.
Customization Tips:
Use color settings to match your chart theme.
Toggle bands off if you prefer a cleaner chart.
The info table at the top-right corner helps track how AVWAP is reacting to volatility — great for analysis.
Combining with Other Tools:
Works well with momentum indicators like RSI or MACD.
You can add traditional VWAP or moving averages for comparison.
Try combining with price action tools for best entries/exits.
⚠️ This is a visual tool — not a signal generator. Always validate with confirmation from your broader strategy.
✅ Credits & Disclaimer:
This script was developed to provide traders with a more context-aware version of VWAP by combining price, volume, and volatility into a unified framework. While this indicator can aid decision-making, it should be used alongside proper risk management and trading discipline.
Discord Levels (Label Toggle)This indicator is designed to streamline your multi-asset level tracking by displaying custom price levels directly on your chart for up to eight different stocks. It allows you to define key support, resistance, and moving average levels, enhancing your analysis across various instruments.
Key Features:
Multi-Stock Level Display: Track important levels for up to 8 distinct stock symbols simultaneously.
Customizable Level Inputs: Define all your desired price levels using a simple space-separated string for each stock.
Intelligent Color-Coding: Levels are automatically color-coded for quick identification based on the associated notes in your input string:
White Line: Standard price levels (e.g., 123.45).
Yellow Line: Levels designated as 200 Daily EMA (e.g., 18.70=daily 200 ema).
Blue Line: Levels designated as 50 Daily EMA (e.g., 18.70=daily 50 ema).
Gray Line: Levels designated as 34 Daily EMA (e.g., 18.70=daily 34 ema).
Green Line: Levels designated as 9 Daily EMA (e.g., 18.70=daily 9 ema).
Red Line: Critical or Cautionary levels (e.g., 9.00=cautionary).
Dynamic Label Positioning: Price labels are displayed next to the lines, dynamically positioned to the right of the current bar (30 bars offset) for optimal visibility across different timeframes.
Global Label Toggle: Easily enable or disable all price labels from the indicator's settings.
How to Use:
Input Stock Symbol: For each slot (Stock 1 to Stock 8) you wish to use, enter the exact TradingView symbol (e.g., AAPL, MSFT, TSLA).
Input Levels String: In the corresponding "Levels" input field, enter your desired price levels separated by spaces.
Basic Level: Just enter the number (e.g., 12.34).
Levels with Notes: Use the format PRICE=NOTE for specific annotations (e.g., 18.70=daily 200 ema, 9.00=cautionary).
Supported Notes for Automatic Coloring: daily 200 ema, daily 50 ema, daily 34 ema, daily 9 ema, cautionary, critical. (Case-insensitive)
Manage Slots: If you need to track more than 8 stocks, simply clear the symbol and levels for an old stock and use that slot for your new entry.
This indicator is a powerful tool for traders who rely on fixed price levels and moving averages across multiple securities, providing clear visual cues without cluttering your main chart analysis.
Weekend Trap
Weekend Trap Indicator
A comprehensive weekend range analysis tool designed to identify and track low-liquidity weekend price movements with advanced market maker detection.
What is the Weekend Trap?
The Weekend Trap refers to price ranges established during low-liquidity weekend periods (Saturday 5:00 AM to Monday 5:00 AM Perth time) when institutional trading is minimal.
Key Features
📊 Weekend Range Detection
Automatically identifies weekend periods based on Perth timezone
Creates visual rectangles showing weekend high/low ranges
Displays 50% midline for key pivot levels
Configurable range cutoff (default: Sunday 3:00 PM)
🎯 Advanced Market Maker Detection
PVSRA-style volume analysis for institutional activity identification
4-color coding system:
🟢 Lime: 200% Bull volume (Peak volume + bullish candle)
🔴 Red: 200% Bear volume (Peak volume + bearish candle)
🔵 Blue: 150% Bull volume (Rising volume + bullish candle)
🟣 Fuchsia: 150% Bear volume (Rising volume + bearish candle)
Weighted volume calculation for better peak detection
Circles positioned above bars for clear visualization
📈 Range Analytics
Clean range labels showing:
Absolute price range
Percentage movement
Historical analysis with configurable lookback period
Current weekend tracking with real-time updates
Settings Overview
Core Settings
Weeks to Backtest (1-52): Number of completed weekends to display
Show Weekend Trap Rectangles: Toggle rectangle visibility
Use Wicks for Rectangle Height: Include wicks vs. body-only ranges
Sunday Range Cutoff Hour: When to stop updating weekend range
Visual Customization
Rectangle colors and borders
Market maker marker sizes (tiny to large)
PVSRA color scheme for different volume levels
Label display options
Market Maker Detection
Automatic PVSRA analysis during weekend periods
150% threshold: Volume ≥ 150% of 10-period average
200% threshold: Volume ≥ 200% of average OR weighted volume peak
Real-time detection with immediate visual feedback
How to Use
Add to your chart (works on any timeframe, recommended: 1H-4H)
Set your preferred lookback period (default: 4 weeks)
Observe weekend ranges and note market maker activity
Monitor volume spikes indicated by colored circles
Analysis Applications
Weekend Range Analysis
Identify price ranges during low-liquidity periods
Track historical weekend price movements
Analyze range size and frequency patterns
Market Maker Detection
Identify institutional accumulation/distribution
Spot manipulation during low-liquidity periods
Analyze volume patterns and anomalies
Historical Pattern Recognition
Weekend range comparison across multiple periods
Multiple timeframe analysis capability
Volume pattern identification
Technical Details
Timezone: Australia/Perth (GMT+8)
Weekend Period: Saturday 5:00 AM → Monday 5:00 AM
Volume Analysis: 10-period moving average baseline
Weighted Volume: Volume × (High - Low) for peak detection
Object Management: Automatic cleanup based on lookback period
Best Practices
Use on liquid markets (major forex pairs, crypto, indices)
Adjust lookback period based on analysis timeframe
Monitor during Asia-Pacific trading hours for best results
Consider fundamental events that may affect weekend gaps
Credits
Volume analysis inspired by PVSRA (Price Volume Spread Range Analysis) methodology for institutional activity detection.
This indicator is designed for educational and analysis purposes.
ICT All in One by GtraderICT All-in-One by GTrader – Description
This indicator is designed for traders who follow ICT or Smart Money Concepts. It helps you visualize key market sessions, time-based price levels, and structured macro behaviors in one clean and customizable tool.
The Killzone feature automatically draws session boxes for Asia, London, and New York (including AM, Lunch, and PM sessions). Each box can show the session name, high and low pivots, and can be customized with different colors, transparency levels, and labels.
You can also add horizontal lines at important times like the daily open or New York open. Up to five session open lines can be defined, each with customizable styles, colors, and optional text labels.
In addition, the indicator lets you display vertical time markers. These lines help you track key intraday moments such as killzone entries or important session changes. You can enable up to four of these, each with its own settings.
One of the most powerful features is the macro session tracker. This creates boxes during specific time windows where price action is monitored. It automatically draws the top and bottom price levels during that session and updates them live. It supports up to five macros and works best on lower timeframes like 1-minute, 3-minute, and 5-minute charts.
The entire script respects your selected timezone, so all sessions and times are adjusted accordingly. Everything is customizable—from label sizes and colors to how many days of drawings are shown on your chart.
This script is ideal for traders who rely on time-of-day behavior, structured price action, and ICT methodologies.
B/S Signal + 3 EMA + Market LevelsThis indicator combines two powerful trading algorithms in one script:
B/S Signal + 3 EMA — to determine entry points (Buy/Sell) and track the trend using ATR Trailing Stop and three exponential moving averages (EMA).
Market Levels — to detect possible market reversals based on Hull Moving Average (HMA), as well as support/resistance levels.
🔹 Part 1: B/S Signal + 3 EMA
🧠 Main idea:
The indicator uses ATR Trailing Stop to track the current trend and moving average (EMA) to filter out false signals. Three EMAs (50, 100, 200 periods) are also added for long-term trend analysis.
🛠️ Components:
1. ATR Trailing Stop
Purpose: Tracking the trend and setting a dynamic stop loss.
It works like this:
Calculates ATR (Average True Range) for a given period (c).
Sets a stop level above or below the price depending on the trend direction.
If the price crosses this level, the trend changes.
2. Trend position (pos)
+1 — uptrend (price is above stop).
-1 — downtrend (price is below stop).
Used for coloring the chart and building signals.
3. Buy / Sell signals
Buy: Price is above stop AND EMA has crossed upwards.
Sell: Price is below stop AND EMA has crossed downwards.
Displayed as arrows on the chart.
4. Three EMA (50, 100, 200)
Show long-term trends.
Different line thicknesses help to distinguish them on the chart.
Colors: red (50), green (100), yellow (200).
5. Alerts
You can create alerts for Buy/Sell signals in TradingView.
🔹 Part 2: Market Levels
🧠 Key Idea:
Detects key support/resistance levels and potential market reversals through Hull Moving Average (HMA) and volume/price analysis.
🛠️ Components:
1. Hull Moving Average (HMA)
A fast and responsive moving average.
Compared to a lagging version of itself (e.g. HMA ) to detect crossovers.
2. Market Levels
When HMA crosses up, a support level (low) is set.
When HMA crosses down, a resistance level (high) is set.
3. Candle Color
Green if the price is below the Market Shift level (bullish signal).
Red if the price is above the level (bearish signal).
4. Labels
Appear at potential reversals:
⬙ — bearish reversal (volume/price drops sharply).
⬘ — bullish reversal (volume/price rises sharply).
Can show either price or total volume for the last 3 bars.
5. Market Levels line
Invisible line between bars for chart clarity.
A new dot appears when the level changes.
✅ Combined functionality
In this indicator you get:
Trend signal via ATR Trailing Stop.
Entry points via EMA and stop intersection.
Trend confirmation via 3 EMA.
Additional information about possible reversals via Market Levels.
Colored labels and candles that amplify signals.
📊 Example of use:
Buy Signal (green arrow below):
Price is above ATR Trailing Stop.
EMA(1) crossed the stop upwards.
Additionally, check the color of Market Levels (green) and the presence of "⬘" marks.
Sell Signal (red arrow above):
Price is below ATR Trailing Stop.
EMA(1) crossed the stop downwards.
Additionally, check the color of Market Levels (red) and the presence of "⬙" marks.
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Этот индикатор объединяет два мощных торговых алгоритма в одном скрипте:
B/S Signal + 3 EMA — для определения точек входа (Buy/Sell) и отслеживания тренда с использованием ATR Trailing Stop и трёх экспоненциальных скользящих средних (EMA).
Market Levels — для обнаружения возможных разворотов рынка на основе Hull Moving Average (HMA), а также уровней поддержки/сопротивления.
🔹 Часть 1: B/S Signal + 3 EMA
🧠 Основная идея:
Индикатор использует ATR Trailing Stop , чтобы отслеживать текущий тренд, и скользящее среднее (EMA) для фильтрации ложных сигналов. Также добавлены три EMA (50, 100, 200 периодов) для анализа долгосрочного тренда.
🛠️ Компоненты:
1. ATR Trailing Stop
Назначение: Отслеживание тренда и установка динамического стоп-лосса.
Работает так:
Рассчитывает ATR (Average True Range) за заданный период (c).
Устанавливает уровень стопа выше или ниже цены в зависимости от направления тренда.
Если цена пересекает этот уровень — происходит смена тренда.
2. Позиция тренда (pos)
+1 — восходящий тренд (цена выше стопа).
-1 — нисходящий тренд (цена ниже стопа).
Используется для окраски графика и построения сигналов.
3. Сигналы Buy / Sell
Buy : Цена выше стопа И произошёл пересеч EMA вверх.
Sell : Цена ниже стопа И произошёл пересеч EMA вниз.
Выводятся стрелками на графике.
4. Три EMA (50, 100, 200)
Показывают долгосрочные тренды.
Разная толщина линий помогает различать их на графике.
Цвета: красный (50), зелёный (100), жёлтый (200).
5. Алерты
Можно создавать уведомления о появлении сигналов Buy/Sell в TradingView.
🔹 Часть 2: Market Levels
🧠 Основная идея:
Обнаруживает ключевые уровни поддержки/сопротивления и потенциальные развороты рынка через Hull Moving Average (HMA) и анализ объёмов/цен.
🛠️ Компоненты:
1. Hull Moving Average (HMA)
Быстрая и чувствительная скользящая средняя.
Сравнивается с запаздывающей версией самой себя (например, HMA ) для выявления пересечений .
2. Уровень Market Levels
При пересечении HMA вверх — устанавливается уровень поддержки (low) .
При пересечении HMA вниз — устанавливается уровень сопротивления (high) .
3. Цвет свечей
Зелёные, если цена ниже уровня Market Shift (бычий сигнал).
Красные, если цена выше уровня (медвежий сигнал).
4. Метки (Labels)
Появляются при потенциальных разворотах:
⬙ — медвежий разворот (объём/цена резко падают).
⬘ — бычий разворот (объём/цена резко растут).
Могут показывать либо цену , либо суммарный объём за последние 3 бара.
5. Линия уровня Market Levels
Не видимая линия между барами для чистоты графика.
При изменении уровня появляется новая точка.
✅ Объединённый функционал
В этом индикаторе вы получаете:
Трендовый сигнал через ATR Trailing Stop.
Точки входа через пересечение EMA и стопа.
Подтверждение тренда через 3 EMA.
Дополнительную информацию о возможных разворотах через Market Levels.
Цветные метки и свечи , которые усиливают сигналы.
📊 Пример использования:
Buy Signal (зелёная стрелка внизу):
Цена выше ATR Trailing Stop.
EMA(1) пересекла стоп вверх.
Дополнительно проверьте цвет Market Levels (зелёный) и наличие "⬘" меток.
Sell Signal (красная стрелка сверху):
Цена ниже ATR Trailing Stop.
EMA(1) пересекла стоп вниз.
Дополнительно проверьте цвет Market Levels (красный) и наличие "⬙" меток.
Key Levels Cheat Sheet🎯 Overview
The Key Levels Cheat Sheet is a comprehensive TradingView indicator that displays 25+ critical price levels in a clean, organized table format. Inspired by professional trading platforms, this indicator eliminates chart clutter by
consolidating all essential support and resistance levels into a single, real-time updating reference table.
Perfect for day traders, swing traders, and scalpers who need instant visibility of key levels without drawing multiple lines on their charts.
📊 Features
Volume-Based Levels
- Session VWAP - Current day's volume weighted average price
- Weekly VWAP - Longer-term institutional trading level
- VWAP Bands (1σ, 2σ, 3σ) - Standard deviation bands showing price extension levels
Session-Based Levels (ICT Concepts)
- True Day Open - Midnight EST opening (ICT methodology)
- Futures Session Open - 6 PM EST futures market open
- Asia Session (9 PM - 1 AM EST) - Asian market high/low
- London Session (3 AM - 6 AM EST) - European market high/low
- NY AM Session (9:30 AM - 11 AM EST) - New York morning high/low
- NY PM Session (1:30 PM - 4 PM EST) - New York afternoon high/low
- Opening Range - Customizable 5/15/30-minute opening range
Historical Levels
- Prior Day/Week/Month - Previous period high/low levels
- 52-Week High/Low - Yearly extremes
- All-Time High/Low - Historical extremes
- Current Day High/Low - Today's range
Smart Money Structure
- Advanced Swing Detection - Market structure-based swing highs/lows
- Swept Range Detection - Automatically hides mitigated levels
- Real-Time Updates - Dynamic level detection
Technical Indicators
- EMAs (9, 21, 50) - Exponential moving averages
- SMAs (20, 50, 200) - Simple moving averages
Expected Move Calculation
- VIX-Based Range - Live VIX data integration
- Multiple Anchors - Calculate from True Day Open, NY Open, or Session Start
- Options Trading - Perfect for probability-based strategies
🎨 Display Features
Smart Table Design
- Auto-Sorting - Levels sorted from highest to lowest
- Color Coding - Green above price, red below price
- Distance Display - Shows percentage or points from current price
- 9 Position Options - Place table anywhere on chart
- Customizable Size - Adjustable text and opacity
Intelligent Filtering
- Hide Swept Ranges - Automatically removes broken levels
- Toggle Individual Levels - Show only what you need
- Clean Interface - No chart clutter
💡 Use Cases
Day Trading
- Track key intraday levels without cluttering charts
- Monitor session highs/lows for breakout trades
- Use VWAP and bands for mean reversion
- Opening range breakout strategies
Swing Trading
- Monitor weekly/monthly levels for position entries
- Track 52-week highs/lows for momentum plays
- Use prior period levels for support/resistance
Options Trading
- VIX-based expected move for strike selection
- Probability zones for credit spreads
- Key levels for pin risk assessment
Scalping
- Quick reference for immediate support/resistance
- VWAP bands for quick reversals
- Session levels for range trading
📚 Educational Value
Every setting includes detailed tooltips explaining:
- ICT (Inner Circle Trader) concepts
- Session trading strategies
- VWAP and standard deviation usage
- Expected move calculations
- Smart money structure
Perfect for traders learning advanced concepts while getting practical trading levels.
⚙️ Customization
Smart Defaults
- Essential levels enabled by default
- Less common levels disabled to reduce clutter
- Swept range hiding enabled for clean display
Full Control
- Toggle any level on/off
- Choose percentage or points display
- Adjust table position and appearance
- Customize for your trading style
🚀 Getting Started
1. Add to Chart - Works on any timeframe and instrument
2. Position Table - Choose from 9 positions
3. Enable Levels - Turn on levels relevant to your strategy
4. Start Trading - All levels update in real-time
📈 Why Use This Indicator?
- Save Time - No more drawing levels manually
- Stay Organized - All levels in one place
- Trade Better - Never miss a key level
- Learn Concepts - Educational tooltips included
- Professional Tool - Institutional-grade level tracking
🎓 Tips for Best Results
- Use on 1-15 minute charts for day trading
- Enable session levels for futures/forex trading
- Use expected move for options strategies
- Combine with your existing strategy for confluence
- Hide swept ranges to focus on active levels
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The Key Levels Cheat Sheet transforms how you view and use support/resistance levels. Stop cluttering your charts with lines and start trading with clarity.
Tags: #levels #support #resistance #vwap #sessions #daytrading #scalping #options #expectedmove #smartmoney #ict #tradingview
Perfect MA Touch – Full Setup 1,3,5,7,8,9This indicator helps you track a precise candle countdown from a moving average touch, labeling key bars (1, 3, 5, 7, 8, 9) for timing entries and momentum setups — with optional coloring, alerts, and full customization.
What It Detects
1. MA Touch Trigger
The sequence starts when any selected moving average (up to 6 MAs, customizable) is touched by the candle's high/low range.
This "perfect touch" initiates the count and labels that candle as "1".
2. Candle Number Labels
After a perfect MA touch:
Candle 1 = the bar that touches the MA
Candle 3 = two bars after Candle 1
Candle 5 = the fifth bar after the touch
Candle 7 = third bar after Candle 5
Candle 8 = fourth bar after Candle 5
Candle 9 = fifth bar after Candle 5
It creates a time-based sequence you can use to anticipate reactions or momentum shifts.
3. Customization
You can:
Choose between EMA or SMA for each MA (6 total)
Set custom lengths for each MA (9, 20, 50, 100, 150, 200)
Choose which candle numbers (1, 3, 5, 7, 8, 9) to highlight
Pick font size and label color
4. Highlighting and Alerts
Highlight candles (with color) when certain bars (like 3, 5, 7) print
Alerts are available for all tracked bars (1, 3, 5, 7, 8, 9)
Use Case Example
Let’s say you want to enter trades on the 3rd candle after a perfect MA touch:
You set the script to highlight candle 3.
When a candle hits your chosen MA (say EMA 9), it’s labeled “1”.
Two bars later, bar 3 appears — giving you a timed signal to enter if price behavior aligns.
This method is especially useful when paired with:
Volume confirmation
Breakout or reversal patterns
Support/resistance or order block zones
Liquidity Hunter HeatmapLiquidity Hunter (GPS Companion Tool)
Liquidity Hunter is a specialized script designed to help traders visualize and track potential liquidation zones, clusters, and imbalance traps in real-time. It is particularly useful for scalpers and short-term traders who rely on liquidity sweeps, stop hunts, and reversion plays.
This tool does not replicate open-source liquidation trackers. Instead, it uses a proprietary combination of volume surges, candle displacement, VWAP deviation, and high-timeframe wicks to infer areas of trapped traders and display them with clear, color-coded markers.
Key Features:
• Real-Time Liquidation Estimates: Detects where major stop losses (and potential liquidations) may have occurred, based on proprietary volume + price action logic.
• Cluster Strength Bubbles: Visual bubbles (scaled by cluster size) show where liquidations are stacking. Purple for bearish, white for bullish — intensity reflects strength.
• Pre-Liquidation Warning Zones: Highlights areas where price is likely to sweep liquidity before reversing, helping traders avoid chasing moves.
• Dollar-Based Labels (Optional): Displays the estimated value liquidated, helping traders size the significance of a move (e.g., $8.4M).
• Minimal Clutter Mode: Designed for intraday clarity — hides excess lines and uses bubbles, not shapes, for cleaner visualization.
