MME NimblrTA Setup v1.0Hi All,
This is a Candlestick template script to be used for identifying momentum and waves.
There are only 2 types of candles - Momentum Candles ( MC - Body height >= 50%) and Indecision Candles ( IC ).
ICs are further separated as Tiny Beast based on NimblrTAs, Candle height ratio compared to certain % Open price of the day. The % varies based on TF of the chart.
Green and Red are MCs .
IC is colored white
Tiny Beast based on Candle height is colored blue.
Tiny Beast based on Candle height + Body Height is marked $.
This setup is used to identify Waves (ascending waves, descending waves, binets, reverse binets etc) - Per Line chart, Zig Zag .
Intraday EMA setup - 5, 13, 34 is used for EMA alignment
Investment EMA setup - 5, 21, 55 is used for EMA alignment.
PSAR 0.01 setting is normally used for trailing / to check ascending or descending wave at high level.
PSAR 0.005 is additionally added to check for follow-up of move. So when PSAR 0.01 is broken, expect PSAR 0.005 to be broken. That can be a scalping target or confirmation of capturing the right trend.
This setup is used for Intraday as well as Investments. The settings have been defaulted for Intraday setup.
Tìm kiếm tập lệnh với "wave"
Honey CypherHoney Cypher Aims to do 4 things
Momentum
Trend Strength
Overbought and oversold zones
Being the most beautiful indicator you ever see
Momentum
The big yellow honey waves primary use is to see the momentum of the market, they can be used in a similar way you would use a MACD or Chaikin Money Flow
On this image you see the honey waves being plotted to the 30 minute timeframe while on the 5 minute chart to have an understanding of longer time momentum in the chart.
Trend Strength
Most tools of the indicator can be used for that but the yellow and purple slope strength lines are made specificaly for this. When you see them curl down you know trend is strengthening towards the downside.
The candle color is based on the amount of Honey waves sloping in one direction. This might be the best tool in the indicator to find Trend Strength. Bright yellow candles mean strong bears while the bright blue candles mean strong bulls.
Overbought and oversold zones
By analysing the waves on a chart you start to learn how big waves can get before a reversal or consolidation period arrives.
You can become profitable with the indicator. But to be honest, my primary focus in making this indicator was find ways to visualise alot of data in a clear and beautiful way.
You should use the indicator with some out of the box ideas instead of just trusting the signals.
examples:
Find a head and shoulders pattern on the top of a huge honey wave.
Find a bottom small wave while the others honey waves are in the opposite direction for entering a pullback.
Use the honey for direction but the yellow and purple slope line crosses for entrys.
Comment your own strategys, I made this open source to be able to get community feedback.
The Honey Cypher waves are calculated in a similar way as the MACD histogram. I've combined MACD formula with some of the lazybear formula. It looks for the distance between 2 moving averages to find trend strength. After that the end results get's smoothed out. It is very satisfying to change that as you can see the honey waves create a melting like motion on each change of smoothing.
Below a preview of the honey cypher moving average lines, all lines have a length that is based on the fibonacci number sequence. Honey cypher measures the distance between for example length 5-8 averages.
I hope this inspires coders to create very beautiful scripts.
MktCurves‴ | Market Curves‴What does it do?
Imagin being able to watch the money flow between markets and figure out when it's time to make your own move. This is what this my proposal and this is what the Market Curves (MktCurves) indicator is all about!
You are able to see the money flowing into Core Commodities, T-Bonds (2, 5, 10, 20 and 30 years), High Yield Corporate Bonds, Gold, Silver, Bitcoin and Dollar.
Don't let the big guys get you off guard, know their moves and move with them.
How does it work?
By analysing the current curve data it is possible to notice that one or more of the curves start an up trend while others move sideway or a down trend, this is how you can have a guess where the smart money is moving from and to.
Curves available:
. Core Commodities
. T-Bond 2 Years
. T-Bond 5 Years
. T-Bond 10 Years
. T-Bond 20 Years
. T-Bond 30 years
. High Yield Corporate Bonds
. Gold
. Silver
. Bitcoin
. Dollar
What's my filling?
I'm still testing this indicator for only a week and so far still trying to understand its signs. I'm using it in conjunction with Volume Wave (VolWave) and Price Spread Wave (PSWave).
What does it do?
This indicator allows you to identify possible asset top and bottom reversals by having a prior Volatility acting among the price movement with a sequential positive (top reversal) or negative (bottom reversal) waves.
How does it work?
Everytime the wave starts showing a curved top movement (ascending price movment) or a curved bottom movement (descending price movment), it might be signing that a price reversal is on its way. It is possible to adjust the wave shape by increasing/decreasing its gradient value analysis, but it's so easy to use that most of the times no reconfiguration is needed, just add it and let it guide you.
Important to mention that the positive wave band, histogram bars and moving average line are calculate totally separete from the the negative wave.
What's my filling?
It definitely gives me a great insight into the smart money moves, which gives me the confidence to make my own moves.
To have access to this indicator,
Please DM me.
Don't contact me in the comment area.
MFI Pro By CryptoScriptsWelcome to the MFI Pro! This indicator uses the Money Flow Index and overlays two EMAs along with different 'under' levels for the buy triggers. It uses the 14 EMA2 length for the white line and the 5 EMA3 length for the waves. The red shaded 'sell' signal is triggered whenever the MFI climbs above the 80 level and the green shaded 'buy' signal is triggered whenever the MFI dips below the 30 level. A couple ways to use this indicator is wait until the MFI crosses above the 14 EMA for buy signals or below it for sell signals. You can also wait for the waves to cross above or below the 50 line (if it crosses above the 50, buy, if below then sell). Another way to use it is wait until the EMA3 wave crosses above the EMA2 white line for buy signal or if it crosses below the white line for a sell signal. You can also adjust the settings of the overbought and oversold levels which will change your buy/sell signals or change the length of the waves to your liking.
As you can see, there are various ways to use this indicator so please test it out and find what works best for you :) Let me know if you have any questions and thanks for following!
Pragmatic risk managementINTRO
The indicator is calculating multiple moving averages on the value of price change %. It then combines the normalized (via arctan function) values into a single normalized value (via simple average).
The total error from the center of gravity and the angle in which the error is accumulating represented by 4 waves:
BLUE = Good for chance for price to go up
GREEN = Good chance for price to continue going up
ORANGE = Good chance for price to go down
RED = Good chance for price to continue going down
A full cycle of ORANGE\RED\BLUE\GREEN colors will ideally lead to the exact same cycle, if not, try to understand why.
NOTICE-
This indicator is calculating large time-windows so It can be heavy on your device. Tested on PC browser only.
My visual setup:
1. Add two indicators on-top of each other and merge their scales (It will help out later).
2. Zoom out price chart to see the maximum possible data.
3. Set different colors for both indicators for simple visual seperation.
4. Choose 2 different values, one as high as possible and one as low as possible.
(Possible - the indicator remains effective at distinguishing the cycle).
Manual calibration:
0. Select a fixed chart resolution (2H resolution minimum recommended).
1. Change the "mul2" parameter in ranges between 4-15 .
2. Observe the "Turning points" of price movement. (Typically when RED\GREEN are about to switch.)
2. Perform a segmentation of time slices and find cycles. No need to be exact!
3. Draw a square on price movement at place and color as the dominant wave currently inside the indicator.
This procedure should lead to a full price segmentation with easier anchoring.
[blackcat] L2 Ehlers Autocorrelation IndicatorLevel: 2
Background
John F. Ehlers introduced Autocorrelation Indicator in his "Cycle Analytics for Traders" chapter 8 on 2013.
Function
If we correlate a waveform composed of perfectly random numbers by itself, the correlation will be perfect. However, if we lag one of the data streams by just one bar, the correlation will be dramatically reduced. In a long memory process with normally distributed random numbers the autocorrelation follows the power law.
One of the underlying principles of technical analysis is that market data do not follow this power law of an efficient market, and we therefore can extract information from the partial correlation of the autocorrelation function. For example, assume the data being examined is a perfect sine wave whose period is 20 bars. The autocorrelation with zero lag, averaged over one full period of the sine wave, is unity. That is, the correlation is perfect. Introducing a lag of one bar in the autocorrelation process causes the average correlation to be decreased slightly. Introducing another bar of lag further decreases the average correlation, and so on. That is, until a lag of 10 bars is reached. In this case, the positive alternation of the sine wave is correlated with the negative alternation of the lagged waveform and the negative alternation of the sine wave is correlated with the positive alternation of the lagged waveform, with the result that perfect anticorrelation has been reached. Continued lag increases causes the average correlation to increase until a lag of 20 bars is reached. When the lag is equal to the period of the sine wave waveform, the correlation is again perfect. In this theoretical example, the correlation values as a function of lag vary exactly as a sine wave.
Market data are considerably messier than purely random numbers or perfect sine waves but contain features of both. However, the characteristics that are uncovered by autocorrelation offer unique trading perspectives. Aside from appearing psychedelic, there are two distinct characteristics of the autocorrelation indicator using minimum averaging. First, there is a sharp reversal from red to yellow and from yellow to red at the timing of price reversals for all periods of lag. Second, there is a variation of the thickness of the bars and the number of bars over the vertical range of the indicator as a function of time.
Key Signal
Corr --> Pearson correlation data array
Pros and Cons
I am sorry this script is NOT 100% as original Ehlers works but I modified it accordingly which demostrated with better visual effect.
Remarks
The 47th script for Blackcat1402 John F. Ehlers Week publication.
Courtesy of @RicardoSantos for RGB functions.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Momentum ArrowsThis simple indicators paints the Momentum based on Stochastic, RSI or WaveTrend onto the Price Chart by showing Green or Red arrows.
In the settings it can be selected which indicator is used, Stochastic is selected by default.
Length of the arrows is determined by the strength of the momentum:
Stochastic: Difference between D and K
RSI: Difference from RSI-50
WaveTrend: Difference between the Waves
(Thanks to @LazyBear for the WaveTrend inspiration)
PS:
If anyone has an idea how to conditionally change the color of the arrows, then please let me know - that would be the icing on the cake. Then it would be possible to indicate Overbought/Oversold levels with different colors.
Unfortunately it currently seems not to be possible to dynamically change the arrow colour.
WWV_LB pivotfix histogram jayy
This is a modification of LazyBear's WWV_LB which plots cumulative volume of waves. The reversal points are defined through relative closing prices. I made adjustments to the script to show waves turning on actual/true low or high pivots as opposed to the bar/candle identified in the LazyBear script. What I mean by that is that the actual/true low or high pivots are in fact the true WWV_LB pivots. The original WWV_LB script calculates cumulative volume from reversal confirmation bar to reversal confirmation bar as opposed to the true WWV_LB pivot bar to pivot bar. As such the waves can have slightly different start and end points. As such the cumulative volume can also be different from te WWV_LB script. This is because confirmation of a wave reversal can lag a few bars after the true reversal pivot bar. In the script notes, you will see the original key WWV_LB script lines that identify the true high or low pivots and confirm the wave direction has reversed. I have taken these lines from LazyBear's original script. I have included the LazyBear script within the script notes so that the original can be compared to what I have added/changed. Instead of "trendDetectionLength" I have inserted "Trend Detection Length". You can of course change the descriptor to what you wish by editing script line 33 to the original term or whatever you wish. You might also wish to set the default to the value "2" as per the original script. I have set the default to "3". This script should be used in conjunction with "WWV-LB zigzag pivot fix jayy" script which is shown on this screen for comparison.
Here is a link to the original LazyBear histogram script which can be used for comparison. The differences are subtle, however, the histograms will regularly be different by a bar or two:
The lowest panel has the original LazyBear WWV_LB script for comparison. All three scripts have been set to a Trend Detection Length of 3.jayy
Vegas tunnelHi all,
This is the first step in putting together a more comprehensive suite of indicators and strategies based around the original Vegas tunnel method.
You will need to know what that is before trying to use this indicator. I would implore you to take the time to read the document. It's free to the universe and is a very valuable piece of work in my opinion.
Here is the link to the original documentation dl.fxf1.com
This indicator is set up to use the original levels as described by Vegas. Future releases will allow for more custom levels.
A note on the target waves. Vegas gives us the levels of 55, 89 and 233...all in FX pips. You will need to adjust that for your instrument and it is your personal preference. If you are using BTC , you might use $55, $89 etc, for ETH $5.50, $8.90 etc, for S+P 55, 89, 233 or for FX, the number might be 0.0055 etc
The indicator has been left blank so you can fill the target waves in yourself.
A note on the templates
The original template is simply as Vegas described it in his document, change it as you wish
The TD template comes from where I first was introduced to the concept. I can't mention the full source here, but some of you will know to what I am referring to. A massive thanks to TD for all the material they have provided the world.
The HH (Hero Hedge) template is just my way of looking at the wave. It's green when the faster MA is above the slower MA and red for the opposite. It doesn't really mean much, it's just a visual reference. Perhaps you can use it to filter signals if you so wish.
Finally, some of you may notice that I am an amateur coder at best. If you think you can improve or tidy up the code, then by all means, please reach out and collaborate with me.
I am trying to produce something to the benefit of all. I hope this can help you. If it does, then please pay it forward as I am trying to do.
Hero Hedge.
Vegas tunnelHi all,
This is the first step in putting together a more comprehensive suite of indicators and strategies based around the original Vegas tunnel method.
You will need to know what that is before trying to use this indicator. I would implore you to take the time to read the document. It's free to the universe and is a very valuable piece of work in my opinion.
Here is the link to the original documentation dl.fxf1.com
This indicator is set up to use the original levels as described by Vegas. Future releases will allow for more custom levels.
A note on the target waves. Vegas gives us the levels of 55, 89 and 233...all in FX pips. You will need to adjust that for your instrument and it is your personal preference. If you are using BTC , you might use $55, $89 etc, for ETH $5.50, $8.90 etc, for S+P 55, 89, 233 or for FX, the number might be 0.0055 etc
The indicator has been left blank so you can fill the target waves in yourself.
A note on the templates
The original template is simply as Vegas described it in his document, change it as you wish
The TD template comes from where I first was introduced to the concept. I can't mention the full source here, but some of you will know to what I am referring to. A massive thanks to TD for all the material they have provided the world.
The HH (Hero Hedge) template is just my way of looking at the wave. It's green when the faster MA is above the slower MA and red for the opposite. It doesn't really mean much, it's just a visual reference. Perhaps you can use it to filter signals if you so wish.
Finally, some of you may notice that I am an amateur coder at best. If you think you can improve or tidy up the code, then by all means, please reach out and collaborate with me.
I am trying to produce something to the benefit of all. I hope this can help you. If it does, then please pay it forward as I am trying to do.
Hero Hedge.
GA - Value at RiskGA Value at Risk is a multifunctional tool. Its main purpose is to plot on the chart the Value at Risk . But it shows also integrated features related to the Volatility.
Value at Risk is a measure of the risk of loss for investments, given normal market conditions, in a period.
It measures and quantifies the level of financial risk. In this case, the risk is within position over a specific time frame.
Defining p as VaR, the probability of a loss greater than VaR is p, at most. Instead, the probability of loss that is less than VaR is 1-p, at least.
The VaR Breach occurs when a loss exceeds the VaR threshold .
For this case, VaR calculation uses the volatility estimation in a time interval. It defines the Probability Confidence according to the Normal Distribution. VaR is a percentile of the Normal Distribution. This is a multiplier of the Standard Deviation that define a Volatility Range.
The Normal Distribution Area around +- the Standard Deviation gives 68% of Confidence. 2 times the Standard Deviation returns a 95% of probability area. 3 time the Standard Deviation the Area returns 99.7% of Confidence.
Knowing VaR modeling, it is possible to determine the amount of a potential loss . Then, it is possible to know if there is enough capital to cover losses. In the same way, higher-than-acceptable risks forces reducing exposure in a financial instrument.
One of its practical use is to estimate the risk of an investment that is already at portfolio. Indeed, this is the purpose of the Value at Risk calculated in this script.
At the VaR Breach that investment has reached its worst scenario. Then, it can be the case to manage that investment into the balanced portfolio.
The Value at Risk does not tell when to enter the market.
Moving Averages
GA Value at Risk bases its calculations on a set of Moving Averages. Every feature of the script uses one of these Moving Averages for its algorithm.
Moving Averages from MA0 to MA8, are the core of each feature of the script.
By default, from MA0 to MA8, Moving Averages use the Fibonacci Series to define their lengths. This happens because of the power of the Golden Ratio in the market behavior.
Instead, the first moving average is an extra resource. Its purpose is to plot a Signal Line on the chart.
The script does not consider plotting every Moving Average on the chart. But it lets you enable the plotting of 7 Moving Averages (from MA0 to MA5 + Signal Line).
It is possible to select the Moving Average Formula to use in the script. This is a setting that affects every Moving Average. Then, it changes also the result of every feature of the script.
The selection is between:
Exponential Moving Average.
Simple Moving Average.
Weighted moving Average.
Simple Moving Averages and Pointers - Full Visibility
Moving Averages and Partial Visibility
The plotting of each Moving Average can be total or partial.
By default, the plotting of Moving Averages and Signal Line is partial.
When the price approaches a Moving Average a little part of the curve becomes visible. This highlights supports or resistances.
Besides, this tracking remains on the chart. Then it shows supports and resistances that the price reached during its progression.
The Partial Visibility Algorithm is a great advantage, ruling how to plot curves. It uses a parameter to set how much of the curves is to plot.
Exponential Moving Averages and Pointers - Partial Visibility
Exponential Moving Averages and Pointers - Full Visibility
Moving Averages and Pointers
As it is clear, it is not necessary to plot entire curves of Moving Averages on the chart. But it becomes relevant to plot Pointers to Moving Averages.
Indeed, the script plots horizontal segments that point to the latest Average Prices.
Every segment has a Label that shows Average Price, Length, and its related Moving Average (from MA0 to MA8). Besides, it is possible to extend the segment to right.
These pointers are a very useful automatization. They point to the Moving Averages. In this way, they show Dynamic Supports and Resistances as horizontal segments.
They are adaptive. Used together with the Volume Profile their progression approaches Edges of High Nodes.
This adaptive behavior makes easy to see when the price reaches Volume High Nodes and slows down.
Moving Average Pointers use the Partial Visibility Algorithm. In this case, the algorithm shows pointers with higher frequency than curves.
Moving Averages Pointers have:
Horizontal Segment as a Pointer with Arrow.
Label with details.
Circle to the current Average Price.
Weighted Moving Averages and Pointers - Full Visibility
Volatility Channels
Having Moving Averages, from MA0 to MA8, it is possible to plot 9 Volatility Channels.
Each Volatility Channel uses one of the Moving Averages, from MA0 to MA8.
Indeed, each Volatility Channel has the same designation of the Moving Average used.
The Standard Deviation defines the Volatility Range. It uses the length of the Moving Average related to the Volatility Channel.
The Volatility Range is unique for each Volatility Channel. In the same way, each Volatility Channel is unique because of its relation to only one Moving Average.
By default, each volatility channel has the 2 value as Standard Deviation Multiplier. This gives 95% of Confidence that the price will stay into the Volatility Range.
Using the Simple Moving Average, each Volatility Channel becomes a Bollinger Bands envelop.
Volatility Channels work very well even using Exponential or Weighted Moving Averages.
MA0 - Volatility Channel
Volatility Channels - From MA0 to MA8
Value at Risk (VaR)
GA Value at Risk plots VaR according to the volatility. The VaR plotting follows the Trend Momentum or Buying-Selling Waves.
By default, VaR follows the Trend Momentum by 2 times the Standard Deviation of MA0. Where MA0 is the first Moving Average and Volatility Channel of the set.
Besides, by default, the calculation of the Value at Risk is adaptive. It does not follow the Volatility Channel Bands. But it changes according to the fast reaction of the price into the Volatility Range.
By default, VaR follows the main momentum even if the price is moving in opposition to it. This occurs as long as the Trend Momentum persists.
In the settings box, It is possible to select the following of the latest Buying Wave or Selling Wave.
In this case, VaR changes according to the change of Buying Wave or Selling Wave. This means that, on these conditions, VaR follows main swings. Then it follows the weakening and the strengthening of the trend momentum as long as it persists.
The plotting of the Value at Risk can show these features:
Red cycle to show the Value at Risk at the current price.
Look Back Red Line that shows the progression of the Value at Risk.
Label with details.
MA0 - Value at Risk - Not Adaptive
MA0 - Value at Risk - Adaptive
It is possible to use a different Moving Average and Volatility Channel from the set. This affects the calculation and the plotting of the Value at Risk. In this way, the algorithm return the Value at Risk for the short, middle, or long-term.
Then, you can get the Value at Risk for that Financial Instrument, calculated for ~1 year or more so as for 1 month.
The Value at Risk does not tell you when to enter the market. Besides, it does not show you that the trend is changing.
MA3 - Value at Risk - Adaptive
Value at Profit (VaP)
The Value at Profit has a descriptive purpose. It points the Volatility Band that is opposite to the Value at Risk.
I chose Value at Profit as a designation for this feature. It does not tell you where to exit the market.
But is shows what the price progression is pointing on. This happens following the switching between Volatility Ranges.
The VaP follows the Volatility Band where the price tends to converge.
An outperforming or underperforming price is running faster than the average trend. Then when the price runs enough to converge to the Volatility Band, it is over extended or under extended.
At these conditions, the increased buying or selling pressure affects the price behavior. This slows down the price progression.
The Algorithm behind the Value at Profit is adaptive. Then the pointer jumps up and down the Volatility Bands of the 9 Volatility Channels. This occurs according to the price progression, following the switching between Volatility Ranges.
So, the VaP points a Volatility Band as long as the price can have chances to converges on it. Instead, when the price has chances to exceed the Volatility Band, the VaP points to the next one.
The plotting of the Value at Profit occurs enabling its Label with details.
Value at Profit - MA0 Volatility Channel Upper Band
Value at Profit - MA6 Volatility Channel Upper Band
Price Extension
When the price runs far away from the average trend price, GA Value at Risk can plot the price extension.
It shows the distance in percentage of the price from a Moving Average of the set. This tends to highlight conditions where the price is over or under extended.
An overbought or oversold condition precedes the shortening of the Trust. It is a cause of the hesitation of the price to continue its progression. This includes also Climactic Points and Signs of Dominance.
The Price Extension plotting uses a variation of the Partial Visibility Algorithm. It plots the Price Extension Arrow only when there are specific volatility conditions.
When the Partial Visibility is set to 0, the Price Extension Arrow is always visible on the chart.
The plotting of the Price Extension includes a Label with details.
Over Extension - The Price is Outperforming MA0
Under Extension - The Price is Underperforming MA0
Price Extension Coloring for Bars and Line Chart
GA Value at Risk lets you enable the coloring of vertical charts. Green and Red colors mark the over and under extended price on bars, candle sticks, and also on the Line Chart.
The Price Extension Algorithm colors Bars and Line Chart by a momentum function.
Indeed, the coloring happens following Relative Strength Index or Bollinger Bands %B.
These 2 Momentum functions are different. Indeed, they color the chart according to the purpose of their curves.
Coloring the Line Chart, it is necessary to put on front the script visibility.
Overbought and Oversold Conditions on Line Chart by Bollinger Bands %B
Overbought and Oversold Conditions on Candlesticks Chart by Relative Strength Index
Note: I restrict access to the tool. Use the links in my signature field to gain access to the script. Feel free to send me a PM for any question.
Thank you
Girolamo Aloe
Founder of Profiting Me Finance Analytics
-
Disclaimer
Nobody in Girolamo Aloe websites and trading view profile is a Financial Advisor. Nothing therein is intended to be constructed as Financial Advice. The content on his websites is for information and educational purposes only.
Trading carries high risk. You should not invest money that you cannot afford to lose. Past performance is not an indication of future results.
MarketDecryptor BThis is a private indicator available to MarketDecryptor members.
Purple wave : Momentum slow wave
Light blue wave: Momentum fast wave
Yellow/Red line: VWAP oscillator
Orange/Gray wave: Directional strength indicator
Green dot: Bullish cross
Red Dot: Bearish cross
Weis zig zag vol JayyI have had a few requests to publish the script I used here: in May 2015. I have been reluctant because it was a very cumbersome script. However, for those few people who actually want to play with this script here it is. I have cleaned it up to make the script more usable. Read my notes associated with "Weis Wave Jayy" for more details on the use of the Weis wave. There are some additional inputs to show the correct volume range on the screen. I think a short video is the best way to convey the information.
The traditional way of displaying Weis Wave as developed by David Weis is to use price. This is a bit of a tricky concept. I hope my video helps to clarify.
In a nutshell to use: open the script. The default is the traditional method used by Weis. Change the value to a wave size of interest in the "Select Weis Wave size" dialogue box. To use "What percent of avg price to set wave size" first click on "Use percent of avg price to set wave size". To use "What percent of last leg to determine reverse" click on "Use percent of last leg?" and be sure that "Use percent of avg price to set wave size" is unclicked.
To display volume correctly as three digits it is necessary to take a number such as 176,895,570 to value that can be displayed within three digits. The number must also be relative to other numbers in the field. If the highest volume on the page is: 2,654,763,889 and with only three numbers available to display the result. The values shown must be 18 and 265 respectively so that the relative magnitudes are understood. Therefore, all numbers in the field of view must be truncated by the same factor.
To do this make sure that "input multiplication factor to show volume must be non zero, if zero multiplication factors shown " is set at 0. Then click on ok at the bottom of the dialogue box. you should see various numbers across the screen each at a pivot point. Scan and select the highest number visible. I some red zeros are visible you should go back to the dialogue box and choose a smaller wave size.
Go back to the dialogue box and replace the 0 in the "input multiplication factor to show volume must be non zero, if zero multiplication factors shown " box with the value you have chosen, Click ok. You should now see the wave with volume. Represented as 1, 2 or 3 numbers read vertically.
Lastly, you can toggle between what I call a lagged wave or a no lag version using "Show weis wave (lagged pivots) unclick to show the no lag version?". What does this mean? The no lag version has a wave that turns at the actual top or bottom. However, price lags the turning point. Price is printed above or below the point at which a new wave is confirmed. What I mean by this is as follows. Suppose that closing prices are in a downward wave over several bars. Each new bar is examined relative to the "Weis wave size". Suppose the current bar closes at a new low, within the current down wave, at $30.00. If the Weis wave size is $0.10 then the algorithm will remember the $30.00 close and compare it to the close of the next bar. If the price goes lower to $29.99, for example, that is the new low and price is continuing down. If price climbs back up to a close of $30.11 then because price has moved more than $0.10 (the Weis wave size) then that is a wave reversal with a new wave starting up.
However if instead of rising by 11 cents it rose only 5 cents $30.05. Since price did not rise 10 cents The wave is still in a downward trend and the trend is not reversed. It is a bit in limbo. As long a closing price on the ensuing bars does not close at or below $30.00 or at or above $30.10 the wave remains in limbo. Suppose price closes for 5 bars between $30.00 and $30.10 and then on the 6th bar closes at or below $30.00. In that case, the downward trend is confirmed and the wave continues. The bars that closed in limbo are part of the downward trend. On the other hand, if the 6th bar close is 30.11 this means that a trend reversal is confirmed - now the trend is up. The turning point of the wave is 6 bars before at the $30.00 closing bar.
As such, turning points of waves can take some time to be confirmed to reverse in direction. Turning points can be 1, 2, 3 or more bars ahead of wave confirmation. A nice straight line for waves connecting highs and lows as used by Weis is not possible since series are not allowed in the plot statement for offsets. As such price is plotted above or below the point at which the wave was confirmed not the actual turning point. The Weis wave turning points plot at the same place as price. The "no lag" wave plot is not a straight line but does show the actual turning points. The volume is the volume for the actual turning point, not the point at which it is plotted.
The smaller the "Weis wave size" the less the lag will be.
If you have questions message me.
Jayy
SAYO BASE📌 Overview
SAYO BASE is a price structure and momentum filtering overlay designed to help traders visualize key market zones using automatic Fibonacci levels combined with WaveTrend and Stochastic RSI confirmation.
This indicator generates dynamic support and resistance regions based on recent swing extremes and highlights momentum-based trigger areas to help confirm trade signals.
📈 Key Features
🔹 Dynamic Auto Fibonacci Zones
• Automatically draws multi-level Fibonacci structure based on the highest high and lowest low over a defined lookback period.
• Colored filled bands between levels create a visual map of key areas of resistance, retracement, and support.
🔹 Momentum Filters
• Uses a hybrid WaveTrend oscillator (wt1, wt2) to identify local momentum direction and extreme conditions.
• Stochastic RSI filter ensures signals are only shown when momentum supports the potential move.
🔹 Blue Zone Identification
• Blue zones mark high-probability retracement bands where price is potentially consolidating between key fib levels.
• These zones are excluded from local signal generation to reduce noise.
📊 How Signals Work
✨ Buy Signals
Triggered when momentum crosses upward:
• WaveTrend crossover (wt1 crossing above wt2) below the oversold threshold
• Price is outside blue retracement zones
• Stochastic RSI indicates oversold conditions
📉 Sell Signals
Triggered when momentum crosses downward:
• WaveTrend crossunder (wt1 crossing below wt2) above the overbought threshold
• Price is outside blue retracement zones
• Stochastic RSI indicates overbought conditions
(Visual shapes are currently commented out but can be enabled in code for chart markers.)
🧠 What You See on Chart
📍 Automatic Fib bands connecting recent structure extremes
📍 Highlighted colors showing relative strength / retracement areas
📍 Momentum filters help avoid false moves inside consolidation pockets
📍 Optional momentum timing signals (can be toggled or added)
⚙️ Custom Inputs Include
• Fib length (lookback for high/low range)
• Stochastic RSI sensitivity
• WaveTrend channel and smoothing parameters
• Overbought / oversold thresholds
(See the indicator settings pane after adding to chart.)
📌 Why Traders Like It
• Clear visual structure without manual drawing
• Combines trend structure with momentum confirmation
• Helps filter signals inside noise and ranging price action
• Works well for swing and intraday analysis
SAYO INDICATOR💠 Overview
SAYO INDICATOR is a powerful multi-component technical indicator built around an enhanced WaveTrend oscillator with extreme condition filtering to reduce mid-range noise and deliver cleaner signals.
It highlights only relevant overbought / oversold momentum shifts and includes divergence detection, optional complementary oscillators, and visual signal markers designed to help traders spot high-probability market turns.
📊 Key Features
💠 Filtered WT Signals
• Shows buy / sell signals only when WaveTrend is in extreme zones (no noise in the middle).
• Clean visuals on momentum crosses with colored circle plots.
💎 Divergence Detection
• Detects Regular and Hidden divergences on WaveTrend.
• Second range divergence support for deeper momentum insight.
• Optional RSI and Stochastic divergence visualization.
⚡ Momentum Oscillators
• Optional classic RSI and Stochastic RSI panels.
• Integrated RSI+MFI area for money-flow emphasis.
• Optional Schaff Trend Cycle line for trend strength context.
🔥 Sommi Pattern Markers
• Sommi Flags and Diamonds to indicate potential structure shifts and trend continuation setups.
💠 Gold Buy Signals
• Premium quality buy indicator using multiple confluence factors (WT levels and divergence + RSI context).
📌 What You See On Chart
📈 Green circles
Buy signals when WaveTrend crosses in strong oversold territory.
📉 Red circles
Sell signals when WaveTrend crosses in strong overbought territory.
🔎 Dots for divergence
Displays divergence setups (bullish / bearish) visually alongside momentum.
📊 Optional indicator panels
RSI, Stochastic RSI, Schaff cycle and MFI highlight additional context when enabled.
🧠 How Traders Use It
• Identify high-probability reversal areas with minimal false signals
• Confirm trend strength and timing via complementary oscillators
• Filter market noise during ranging periods
• Integrate with support/resistance or patterns for trade entry decisions
⚙️ Inputs & Customization
• Full control over WaveTrend channel lengths and smoothing
• Divergence sensitivity levels
• Optional indicator visibility (RSI, MFI, Stoch, Schaff)
• Thresholds for WT extremes and divergence ranges
AOT Red Storm V25 Adaptive EditionOverview
AOT Red Storm V25 is an invite-only, institutional-style trend suite designed for intraday and swing traders.
It does not try to predict exact tops or bottoms. Instead, it focuses on:
Multi-timeframe trend alignment
Smart 8-minute internal timeframe for cleaner structure
Adaptive support/resistance zones
Volatility and volume-based risk filtering
A compact HUD to summarize market state in one glance
Core Components
This script is not a simple mashup of public indicators.
It integrates several classic building blocks into a single, coherent decision framework:
Adaptive Supertrend Core:
Supertrend is calculated on an internal 8-minute timeframe (for intraday charts up to 60m), which we found offers a better balance between noise and structure for crypto futures.
WaveTrend Tactical Radar:
WaveTrend is only used for exit timing and risk-off zones (overheat / exhaustion), not as a standalone entry trigger. It works together with the trend core and cooldown logic.
Dual-Layer Support & Resistance:
Local SR zones are drawn on the current chart for execution precision, while 30m-level zones track higher-timeframe liquidity and turning areas.
Trendlines & Structural BOS:
Automatic trendlines and BOS (Break of Structure) are derived from pivot points, to visualize trend continuation vs. potential reversals.
Volatility & Volume Risk Filter:
Abnormal range bars and daily volume completion are monitored to help traders avoid chasing dangerous moves.
AI-style HUD Panel:
The on-chart HUD summarizes trend, momentum, volatility, and volume completion into a compact dashboard so traders don’t need to open multiple indicators.
How it works in practice
The 8-minute engine drives the main trend color and entry markers.
Local & 30m SR zones provide execution context and profit-taking areas.
WaveTrend helps identify when to reduce risk or take partial profits during extended moves.
The HUD acts as a “mission control” view to keep the trader aligned with the dominant state of the market.
Intended Use
For traders who already understand risk management and position sizing.
As a decision support tool, not as an auto-trading holy grail.
Best used on BTC/ETH futures from 1m–30m charts.
What it is NOT
It is not a guaranteed-profit system.
It is not an AI that predicts the future.
It does not replace your own risk control or psychology.
Risk Notice
Trading and investing involve risk. Historical behavior of any logic or visual structure does not guarantee future results. This script is for informational and educational purposes only and does not constitute financial advice.
概览
AOT Red Storm V25 是一套面向实盘交易员的“机构级趋势可视化套件”，采用封闭源码 + 邀请制。
它不是在“预测行情”，而是帮助你：
对齐多周期趋势结构
用 8 分钟内部周期做更干净的趋势骨架
叠加本地 + 30m 双重支撑阻力
利用波动率和成交量过滤危险行情
用一个 HUD 面板把核心信息集中展示
核心模块
8m SuperTrend 趋势骨架：内部固定使用 8 分钟周期来做趋势与结构识别，减少噪音。
WaveTrend 战术雷达：只用于辅助止盈/减仓，而不是单独进场信号。
本地 + 30m 支撑阻力区：当前周期做精确执行，30m 负责定位大级别流动性区域。
自动趋势线 + BOS：用结构高低点标记 HH/LL / BOS，辅助趋势延续与反转识别。
波动 & 量能风控：用异常大K / 当日量能进度，提示极端风险。
AI 风格 HUD 面板：把趋势、动能、波动率、量能等压缩在一个信息面板中。
适用人群
有一定交易经验，重视风控与执行纪律的交易员；
用作决策辅助，而不是“闭眼跟随”的圣杯系统；
建议用于 BTC/ETH 永续 1–30m 等周期。
不是什么
不保证稳定盈利；
不预测未来；
不替代你的仓位管理与心理建设。
Sk Macd TrendSk Macd Trend + Hidden Bullish MACD Divergence (Enhanced)
Original Author: Sujeetjeet1705
Enhanced by: Community Contribution (MACD-style Hidden Bullish Signal)
A powerful and widely respected WaveTrend-based oscillator with all the original premium features intact:
• Laguerre-smoothed WaveTrend (WT1 & WT2)
• Professional 4-color momentum histogram (strong/weak bull & bear)
• Filled MACD/Signal area for instant trend bias
• Built-in regular + hidden divergences (signal & histogram)
• Smart trailing stop system with ATR-based dynamic stops
• Clean buy/sell cross signals with overbought/oversold filtering
NEW POWERFUL ADDITION:
Hidden Bullish MACD-Style Divergence Detector
(Exactly like institutional MACD hidden bullish setups)
The indicator now highlights — with a bright blue histogram bar and a blue square below the price candle — when ALL three high-probability conditions are met simultaneously:
1. WaveTrend Histogram (wt3) is below zero (still in bearish territory)
2. Histogram is rising (wt3 > wt3 ) → momentum turning up
3. Price makes a higher low (low > low ) → bullish hidden divergence
This is one of the strongest early-reversal signals in technical analysis and often marks the exact bottom before explosive bounces.
Key Features:
• Blue square appears directly on the main chart (overlay)
• Histogram turns solid blue only on valid setups (very easy to spot)
• No repainting — 100% real-time reliable
• Works perfectly on all timeframes and assets
• All original features, colors, and logic preserved
Perfect for swing traders, reversal hunters, and anyone looking to catch major turns early.
Use with confidence — this is now one of the most complete and visually intuitive WaveTrend oscillators available on TradingView.
Enjoy the edge!
Book of Fish: Universal Deep DiveAhoy, Captain. 🏴☠️
Here is your official Angler’s Manual for the Book of Fish: Universal Deep Dive. This guide translates every pixel on your TradingView chart into nautical instruction so you can navigate the currents and land the big catch.
Print this out, tape it to your monitor, and respect the code of the sea.
________________________________________
📖 The Angler’s Manual: How to Fish
A Guide to the "Universal Deep Dive" Indicator
🌊 1. Check the Current (Background Color)
Before you cast a line, you must know which way the river is flowing.
• Green Water (Background): The tide is coming in. The broad market (Advancers) is beating the losers.
o The Rule: We prefer Longs (Calls). Swimming upstream against the green current is dangerous.
• Red Water (Background): The tide is going out. The market is heavy.
o The Rule: We prefer Shorts (Puts). Don't fight the gravity.
Captain’s Note: If your specific fish (stock) is Green while the water is Red, that’s a Monster Fish (Relative Strength). It’s strong, but keep a tight drag—if it gets tired, the current will drag it down fast.
________________________________________
🐟 2. Identify the Species (Candle Colors)
The color of your bars tells you exactly what strategy to deploy.
🟢 The Marlin (Ultra Bull)
• Visual: Green Candles. Price is riding above the Yellow Wave (20 EMA), and the Yellow Wave is above the White Whale (200 EMA).
• Strategy: Trend Following.
• How to Fish:
o Wait for the fish to swim down and touch the Yellow Wave.
o If it bounces? CAST! (Enter Long).
o Target: Let it run until the trend bends.
🔴 The Barracuda (Ultra Bear)
• Visual: Red Candles. Price is diving below the Yellow Wave, and the Yellow Wave is below the White Whale.
• Strategy: Trend Following (Short).
• How to Fish:
o Wait for the fish to jump up and hit the Yellow Wave.
o If it rejects? CAST! (Enter Short).
🟠 The Bottom Feeder (No Man’s Zone)
• Visual: Orange or Lime Candles. The price is fighting the trend (e.g., Price is below Yellow, but Yellow is still above White).
• Strategy: Reversion to Mean (Scalping).
• How to Fish:
o You are catching small fry here.
o Target: The Purple Anchor (VWAP) or the White Whale (200 EMA).
o Rule: As soon as it hits the Anchor or the Whale, cut the line and take your profit. Do not hold for a home run.
________________________________________
🎣 3. The Tackle Box (Signals & Icons)
These shapes are your triggers. They tell you when to strike.
Icon Name Meaning Action
▲ (Green Triangle) 3-Bar Play THE STRIKE. Momentum is breaking out after a rest. ENTER NOW. This is the sharpest hook in the box. Trend is resuming.
🔷 (Blue Diamond) Inside Bar The Nibble. Price is coiling/resting. Set a trap. Place a stop-entry slightly above the diamond (for longs).
⚫ (Black Dots) The Squeeze Calm Waters. Volatility has died. DO NOT CAST. Wait. When the dots disappear, the storm (and the move) begins.
9️⃣ (Red/Green Number) Exhaustion Full Net. The school has swum too far in one direction. Take Profits. A Red 9 at the top means the bull run is tired. A Green 9 at the bottom means the bear dive is ending.
✖️ (Purple Cross) RSI Snag Hazard. The engine is overheated (Overbought/Oversold). Don't add weight. The line might snap if you buy here.
________________________________________
🗺️ 4. The Map (The Lines)
• The Yellow Wave (20 EMA): Your surfboard. In a strong trend, price should surf this line. If it closes below it, the surf is over.
• The White Whale (200 EMA): The deep ocean trend. This is massive support/resistance. We generally do not short above the Whale or long below it.
• The Purple Anchor (VWAP): The average price. Prices love to return here when they get lost in the No Man's Zone.
• The Dotted Lines (PDH/PDL): The Horizon. Previous Day High (Green) and Low (Red). Crossing these means you are entering open ocean (Discovery Mode).
⚓ The Captain's Code
1.Don't force the fish. If the chart is chopping (Gray candles), stay on the dock.
2.Respect the '9'. When you see that number, lock in some gains.
3.The Trend is your Friend. Green Candles + Green Background = Smooth Sailing.
Fair winds and following seas.
Cycle Spectrum AnalyzerCycle Spectrum Indicator — Short Description
This indicator computes a visual Fourier cycle spectrum from the input price data to reveal the market’s dominant cyclical behaviour. The price series is first detrended using a Hodrick–Prescott filter, after which a specialized Fourier analysis variant extracts the cycle components.
The resulting spectrum displays peaks that represent the dominant cycles present in the data, where each peak’s cycle length and amplitude indicate the strength and duration of the underlying rhythm. The most significant peaks are ranked, highlighting the top cycles currently driving market movement. Each detected cycle also includes a phase value, describing the cycle’s position at the most recent bar (e.g., topping, bottoming, rising, falling).
The indicator can be used to:
Identify the top 3 dominant cycles with their length and phase.
Analyze the current market state by interpreting these phases.
Feed the dominant cycle lengths—often half the primary cycle—into other technical indicators for improved parameter tuning.
Project cycles forward to estimate upcoming turning points and anticipate potential trend shifts.
Additional Explanation of the included visual example image
Left Area – The Theoretical “Perfect Cycle”
The left part of the illustration presents a theoretical, perfectly smooth sine-wave cycle. This serves as a reference model to explain the core cycle parameters:
Cycle Length – The full wavelength of one complete oscillation (from trough to trough or peak to peak).
Phase – The current position within that cycle, expressed both numerically and as an easy-to-read text label such as Bottom_Departure, Uptrend_Neutral, Approaching Top, or Top_Departure.
The diagram highlights visually how a cycle progresses through bottoming, rising, peaking, and declining phases, matching the phase descriptions used in the indicator’s output. This helps translate raw phase angles into intuitive market-state labels (e.g., recovery, boom, topping, recession).
Right Area – The Price Series Used for Analysis
On the right, the actual price chart (e.g., Dow Jones Industrial Average) is displayed. This is the dataset from which the Fourier cycle spectrum is computed.
At the bottom of this chart section, a purple bar indicates the amount of historical data included in the cycle analysis. Because Fourier-based methods depend strongly on sample size, this visual cue shows how far back the indicator collected and processed data before generating the spectrum.
Bottom Area – The Cycle Spectrum Output Pane
The lower pane contains the Cycle Spectrum Analyzer output:
It displays the cycle spectrum at the most recent bar, where each green peak corresponds to a detected cycle.
Peak height = amplitude (strength) of the cycle
Peak position (horizontal) = dominant cycle length
The largest peaks represent the strongest cycles currently present in the detrended price series.
Next to the spectrum, a ranked table lists the Top 3 dominant cycles, showing:
Rank (1 = strongest)
Cycle Length (in bars)
Phase Description (interpreting where that cycle is right now)
This concise summary allows users to quickly understand:
Which cycles are strongest,
How long they are,
And whether they are currently bottoming, topping, rising, or falling.
How the Indicator Works & How It Can Be Adjusted
Calculation Only at the Last Bar
The indicator performs its full Fourier-based cycle decomposition exclusively on the most recent bar. This ensures that the spectrum always reflects the current market state without repeatedly recalculating historical spectra. The result is an efficient, real-time snapshot of the dominant cycles influencing the price at the latest point in time.
Works on Any Symbol and Any Timeframe
Because the analysis operates directly on the provided price series, the indicator is compatible with all markets and all timeframes—stocks, indices, forex, crypto, futures, and intraday charts alike.
The detected cycle lengths always refer to the selected chart’s bar interval (e.g., 240-bar cycle on a 1h chart ≈ 240 hours; same cycle on a daily chart ≈ 240 days).
Adjustable Historical Lookback (Default: 1100 Bars)
The accuracy of cycle detection depends on the amount of historical data used. The indicator provides a parameter allowing you to specify how many past bars should be included in the Fourier calculation.
Standard value: 1100 bars
Increasing the lookback allows detection of longer cycles, but may dilute short-term characteristics.
Decreasing it focuses on shorter and medium-term cycles, increasing responsiveness but reducing visibility of long-duration rhythms.
By tuning this lookback parameter and choosing an appropriate timeframe, traders can adapt the cycle spectrum to match their analytical style—short-term, medium-term, or long-term cycle interpretation.
Tập lệnh trả phí
Ultimate Multi-Asset Correlation System by able eiei Ultimate Multi-Asset Correlation System - User Guide
Overview
This advanced TradingView indicator combines WaveTrend oscillator analysis with comprehensive multi-asset correlation tracking. It helps traders understand market relationships, identify regime changes, and spot high-probability trading opportunities across different asset classes.
Key Features
1. WaveTrend Oscillator
Main Signal Lines: WT1 (blue) and WT2 (red) plot momentum and its moving average
Overbought/Oversold Zones: Default levels at +60/-60
Cross Signals:
🟢 Bullish: WT1 crosses above WT2 in oversold territory
🔴 Bearish: WT1 crosses below WT2 in overbought territory
Higher Timeframe (HTF) Analysis: Shows WT1 from 4H, Daily, and Weekly timeframes for trend confirmation
2. Multi-Asset Correlation Tracking
Monitors relationships between:
Major Assets: Gold (XAUUSD), Dollar Index (DXY), US 10-Year Yield, S&P 500
Crypto Assets: Bitcoin, Ethereum, Solana, BNB
Cross-Asset Analysis: Correlation between traditional markets and crypto
3. Market Regime Detection
Automatically identifies market conditions:
Risk-On: High correlation + positive sentiment (🟢 Green background)
Risk-Off: High correlation + negative sentiment (🔴 Red background)
Crypto-Risk-On: Strong crypto correlations (🟠 Orange background)
Low-Correlation: Divergent market behavior (⚪ Gray background)
Neutral: Mixed signals (🟡 Yellow background)
How to Use
Basic Setup
Add to Chart: Apply the indicator to any chart (works on all timeframes)
Choose Display Mode (Display Options):
All: Shows everything (recommended for comprehensive analysis)
WaveTrend Only: Focus on momentum signals
Correlation Only: View market relationships
Heatmap Only: Simplified correlation view
Enable Asset Groups:
✅ Major Assets: Traditional markets (stocks, bonds, commodities)
✅ Crypto Assets: Digital currencies
Mix and match based on your trading focus
Reading the Charts
WaveTrend Section (Bottom Panel)
Above 0 = Bullish momentum
Below 0 = Bearish momentum
Above +60 = Overbought (potential reversal)
Below -60 = Oversold (potential bounce)
Lighter lines = Higher timeframe trends
Correlation Histogram (Colored Bars)
Blue bars: Major asset correlations
Orange bars: Crypto correlations
Purple bars: Cross-asset correlations
Bar height: Correlation strength (-50 to +50 scale)
Background Color
Intensity reflects correlation strength
Color shows market regime
Dashboard Elements
🎯 Market Regime Analysis (Top Left)
Current Regime: Overall market condition
Average Correlation: Strength of relationships (0-1 scale)
Risk Sentiment: -100% (risk-off) to +100% (risk-on)
HTF Alignment: Multi-timeframe trend agreement
Signal Quality: Confidence level for current signals
📊 Correlation Matrix (Top Right)
Shows correlation values between asset pairs:
1.00: Perfect positive correlation
0.75+: Strong correlation (🟢 Green)
0.50+: Medium correlation (🟡 Yellow)
0.25+: Weak correlation (🟠 Orange)
Below 0.25: Negative/no correlation (🔴 Red)
🔥 Correlation Heatmap (Bottom Right)
Visual matrix showing:
Gold vs. DXY, BTC, ETH
DXY vs. BTC, ETH
BTC vs. ETH
Color-coded strength
📈 Performance Tracker (Bottom Left)
Tracks individual asset momentum:
WT1 Values: Current momentum reading
Status: OB (overbought) / OS (oversold) / Normal
Trading Strategies
1. High-Probability Trend Following
✅ Entry Conditions:
WaveTrend bullish/bearish cross
HTF Alignment matches signal direction
Signal Quality > 70%
Correlation supports direction
2. Regime Change Trading
🎯 Watch for regime shifts:
Risk-Off → Risk-On = Consider long positions
High correlation → Low correlation = Reduce position size
Crypto-Risk-On = Focus on crypto longs
3. Divergence Trading
🔍 Look for:
Strong correlation breakdown = Potential volatility
Cross-asset correlation surge = Follow the leader
Volume-price correlation extremes = Trend confirmation
4. Overbought/Oversold Reversals
⚡ Trade reversals when:
WT crosses in extreme zones (-60/+60)
HTF alignment shows opposite trend weakening
Correlation confirms mean reversion setup
Customization Tips
Fine-Tuning Parameters
WaveTrend Core:
Channel Length (10): Lower = more sensitive, Higher = smoother
Average Length (21): Adjust for your timeframe
Correlation Settings:
Length (50): Longer = more stable, Shorter = more responsive
Smoothing (5): Reduce noise in correlation readings
Market Regime:
Risk-On Threshold (0.6): Lower = earlier regime signals
High Correlation Threshold (0.75): Adjust sensitivity
Custom Asset Selection
Replace default symbols with your preferred markets:
Major Assets: Any forex, indices, bonds
Crypto: Any digital currencies
Must use correct exchange prefix (e.g., BINANCE:BTCUSDT)
Alert System
Enable "Advanced Alerts" to receive notifications for:
✅ Market regime changes
✅ Correlation breakdowns/surges
✅ Strong signals with high correlation
✅ Extreme volume-price correlation
✅ Complete HTF alignment
Correlation Interpretation Guide
ValueMeaningTrading Implication+0.75 to +1.0Strong positiveAssets move together+0.5 to +0.75Moderate positiveGenerally aligned+0.25 to +0.5Weak positiveLoose relationship-0.25 to +0.25No correlationIndependent movements-0.5 to -0.25Weak negativeSlight inverse relationship-0.75 to -0.5Moderate negativeTend to move opposite-1.0 to -0.75Strong negativeStrongly inversely correlated
Best Practices
Use Multiple Timeframes: Check HTF alignment before trading
Confirm with Correlation: Strong signals work best with supportive correlations
Watch Regime Changes: Adjust strategy based on market conditions
Volume Matters: Enable volume-price correlation for confirmation
Quality Over Quantity: Trade only high-quality setups (>70% signal quality)
Common Patterns to Watch
🔵 Risk-On Environment:
Gold-BTC positive correlation
DXY negative correlation with risk assets
High crypto correlations
🔴 Risk-Off Environment:
Flight to safety (Gold up, stocks down)
DXY strength
Correlation breakdowns
🟡 Transition Periods:
Low correlation across assets
Mixed HTF signals
Use caution, reduce position sizes
Technical Notes
Calculation Period: Uses HLC3 (average of high, low, close)
Correlation Window: Rolling correlation over specified length
HTF Data: Accurately calculated using security() function
Performance: Optimized for real-time calculation on all timeframes
Support
For optimal performance:
Use on 15-minute to daily timeframes
Enable only needed asset groups
Adjust correlation length based on trading style
Combine with your existing strategy for confirmation
Enjoy comprehensive multi-asset analysis! 🚀
BTC Future CME Cross-Market DetectorProject Spec: BTC CME Cross-Market Detector
1. Project Overview
Indicator Name
CME Cross-Market Detector
Objective
To identify high-probability trade setups by detecting and confirming "smart money" activity across two distinct market venues simultaneously: a primary crypto exchange (e.g., Bybit, Binance) and the institutional CME futures market.
Core Philosophy
Price movements are often preceded by the positioning of large, institutional players ("smart money"). While their activity can be seen on any single exchange, the signal becomes exceptionally reliable when the same footprint appears at the same time in both the broader crypto derivatives market and the highly regulated institutional futures market. This dual-market confirmation acts as a powerful noise filter, isolating signals that have a higher probability of follow-through.
2. Key Concepts & Signal Logic
The indicator's entire foundation rests on confirming that specific conditions are met on two datasets at the same time: (1) The user's current chart (e.g., BYBIT:BTCUSDT) and (2) The CME Bitcoin Futures chart (CME:BTC1!).
Smart Volume Analysis
To gauge buying vs. selling pressure, the total volume of a single candle is algorithmically split. This is not a perfect science but an effective estimation based on the candle's structure.
Buying Pressure is considered proportional to the distance the price closed from the low. Buying Pressure ≈ Total Volume × ((Close - Low) / (High - Low))
Selling Pressure is considered proportional to the distance the price closed from the high. Selling Pressure ≈ Total Volume × ((High - Close) / (High - Low))
Signal Trigger Conditions
For a potential signal to be identified on each market independently, two conditions must be met:
Volume Spike: The volume of the current candle must be significantly higher than the recent average volume (e.g., >150% of the 20-period moving average). This shows a sudden, high level of interest.
Pressure Imbalance: The estimated buying pressure must overwhelm the selling pressure by a certain factor (e.g., 3x), or vice versa for a sell signal. This indicates a clear directional intent.
The Final Confirmed Signal
A signal is only considered valid and plotted on the chart when the Signal Trigger Conditions (both Volume Spike and Pressure Imbalance) are met on both the primary chart and the CME chart on the very same candle.
3. Signal Strength Calculation
The percentage shown on the chart is a Signal Strength Score (0-100%), which rates the quality and conviction of the confirmed signal.
The score is calculated as follows:
Base Score Calculation (0-100 points): A base score is calculated for each market (primary and CME) by combining two factors:
Volume Component (0-50 pts): Measures the intensity of the volume spike. A 300% volume spike will score higher than a 150% spike.
Imbalance Component (0-50 pts): Measures the intensity of the buy/sell pressure ratio. A 5x imbalance will score higher than a 3x imbalance.
Advanced Modifiers (Bonus Points): The base score is then enhanced with bonus points for favorable conditions:
Trend Alignment (+10 pts): A buy signal that occurs during a clear uptrend receives extra points.
Candle Structure (+10 pts): A buy signal on a candle with a long lower wick (indicating rejection of lower prices) receives extra points.
Final Averaged Score: The final percentage you see is the average of the two individual strength scores calculated for the primary exchange and the CME market.
4. Visualization
Energy Waves: Signals are displayed as circles. Green for Buy Signals (below the candle) and Red for Sell Signals (above the candle).
Dynamic Sizing: The size of the circle directly reflects the Signal Strength Score, categorized into four distinct levels (e.g., 10%+, 40%+, 60%+, and 80%+) for at-a-glance interpretation.
Percentage Labels: Each signal is plotted with its precise, final strength score for clear analysis.
5. Summary: Steps to Replicate the Logic
To recreate this indicator, follow these high-level steps for each candle on the chart:
Gather Data: Fetch the Open, High, Low, Close, and Volume data for the primary chart asset AND for the corresponding CME Bitcoin Futures symbol (CME:BTC1!).
Calculate Buy/Sell Pressure: For both datasets, use the "Smart Volume Analysis" formula to estimate the buying and selling pressure for the current candle.
Check for Volume Spikes: For both datasets, calculate a simple moving average of the volume. Check if the current candle's volume exceeds this average by a set threshold (e.g., 150%).
Check for Pressure Imbalance: For both datasets, check if the buying pressure is greater than the selling pressure by a set multiplier (e.g., 3.0), or vice versa.
Confirm the Signal: A final signal is only valid if the conditions from both Step 3 and Step 4 are true for both datasets on the same candle.
Calculate Strength: If a signal is confirmed, compute a strength score (0-100) for each dataset based on the intensity of the volume spike and pressure imbalance. Add bonus points for confluence factors like trend alignment.
Finalize and Plot: Average the two strength scores from each market. Plot a colored, sized circle on the chart that visually represents this final averaged score, and display the score as a text label.
Last but not least, the idea of the indicator is inspired by 52SIGNAL
FLD 3DFLD 3D - Future Lines of Demarcation Indicator
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THEORETICAL FOUNDATION
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This indicator implements Future Lines of Demarcation (FLD), a key concept from J.M. Hurst's cyclic analysis theory. FLDs are price-based lines displaced forward in time by half the wavelength of a dominant cycle, creating a predictive framework for price movement analysis.
The core principle: when price crosses an FLD line, it indicates a potential change in the current cycle phase. FLDs act as dynamic support/resistance levels that "anticipate" where price should be based on the dominant cycle's rhythm.
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CALCULATION METHODOLOGY
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The indicator calculates three FLD lines:
1. FLD HIGH: Takes the bar's high price and shifts it forward by offset bars
2. FLD LOW: Takes the bar's low price and shifts it forward by offset bars
3. FLD MEDIAN: Calculates a median price using the selected method, then shifts forward
The offset is calculated as: offset = Period / 2
This displacement represents the half-cycle concept: if a cycle has a period of 48 bars, the FLD will be displaced 24 bars into the future. This creates a "lead" indicator that shows where price should theoretically be based on the cycle's wave pattern.
PRICE METHODS AVAILABLE:
- HL2: (High + Low) / 2 - Simple midpoint
- HLC3: (High + Low + Close) / 3 - Weighted with close
- HLCC4: (High + Low + Close + Close) / 4 - Close has double weight
- OHLC4: (Open + High + Low + Close) / 4 - Full bar average
- VWAP-like: Volume-weighted high/low average
- True Range: Uses previous close for range calculation
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AUTO-PERIOD ADJUSTMENT FEATURE
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The indicator includes multi-timeframe adaptation logic. When "Auto Period" is enabled:
1. Detects current chart timeframe (minutes, hours, days, weeks)
2. Compares it to the reference timeframe setting
3. Calculates adjustment ratio: Reference TF / Current TF
4. Applies ratio to base period: Adjusted Period = Base Period × Ratio
Example: If Base Period = 48, Reference TF = 60min, Current chart = 15min
→ Ratio = 60/15 = 4
→ Adjusted Period = 48 × 4 = 192 bars
This ensures the indicator tracks the same real-time cycle length across different chart timeframes, maintaining consistency in cycle analysis.
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VISUAL COMPONENTS
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- RED LINE: FLD High (upper boundary)
- BLUE LINE: FLD Low (lower boundary)
- ORANGE LINE: FLD Median (centerline)
- GRAY AREA: Fills between High and Low FLDs
- RIGHT LABEL: Shows FLD identifier and period used (asterisk indicates auto-adjustment)
All lines extend into the future by the calculated offset, creating a "projection zone" ahead of current price.
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ACKNOWLEDGMENTS
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This work is inspired by the Italian cyclic analysis community and dedicated educators. Due to TradingView's House Rules on promotional content, I cannot mention specific names or groups, but my gratitude goes to those who know they contributed to this development through their teaching and guidance. Thank Emiliano!
Information-Geometric Market Dynamics + MLInformation-Geometric Market Dynamics + ML (IGMD-ML)
Foreword: Beyond the Shadows on the Wall
If you have traded for any length of time, you understand the frustration of a perfect setup that fails, the whipsaw that stops you out just before a major move, or the persistent feeling that the price chart is only telling you half the story. For decades, technical analysis has focused on interpreting the shadows—the patterns left behind by price. We draw lines, apply indicators, and hope to derive future movement from this historical data.
But what if we could stop analyzing the shadows and instead measure the object casting them?
This script, Information-Geometric Market Dynamics (IGMD), introduces a new paradigm for market analysis. Its core premise is that the price chart is merely a one-dimensional projection of a much richer, higher-dimensional reality—an "information field" generated by the collective actions, beliefs, and emotions of all market participants.
This is not just another collection of indicators. It is a unified framework for measuring the geometry of this information field—its memory, its complexity, its uncertainty, its causal flows—and making high-probability decisions based on that deeper reality.
The IGMD Framework: A Multi-Kernel Approach
At the heart of IGMD are mathematical "kernels"—specialized engines that transform raw price data into meaningful measurements of abstract market properties. The framework's power lies in its ability to fuse the outputs of five distinct kernels, synthesizing their diverse perspectives into a single, coherent picture of the market's state.
The Five Core Kernels of Market Dynamics:
1. The Wavelet Kernel (The "Microscope"): Decomposes price into different frequency scales, separating short-term noise from the underlying market "thesis."
2. The Hurst Exponent Kernel (The "Memory Gauge"): Measures the market's "long-term memory" to determine if it is in a trending, mean-reverting, or random state.
3. The Fractal Dimension Kernel (The "Complexity Compass"): Quantifies the geometric complexity of the price path, acting as a primary filter for tradable vs. untradable conditions.
4. The Shannon Entropy Kernel (The "Uncertainty Meter"): Provides a pure measure of information and uncertainty, gauging market conviction and predictability.
5. The Transfer Entropy Kernel (The "Causality Probe"): Moves beyond correlation to measure the directed flow of information, assessing if a driver (like volume) is genuinely leading price.
Major Update: The Intelligence Layer & Machine Learning Integration
This version of IGMD introduces a significant advancement: an integrated machine learning (ML) engine that acts as an intelligent decision-making layer on top of the core five-kernel analysis. This is not a "black box" system but a transparent, adaptive filter designed to improve signal quality by learning from the market in real time.
How the ML Engine Works
The ML model processes the outputs from all five IGMD kernels and other market variables (like RSI and Volume) to build a comprehensive, multi-dimensional understanding of the current market state.
Core Technology: The engine uses an online logistic regression model. "Online" means it learns and updates its parameters with every new bar of data, allowing it to adapt continuously to changing market dynamics without needing to be retrained.
Non-Linear Pattern Recognition: To capture the market's complex behavior, the model projects the kernel data into a higher-dimensional space using Random Fourier Features (RFF) . This technique allows a linear model to recognize highly intricate patterns that would otherwise be invisible.
Probabilistic Filtering: The ML engine’s primary function is to act as a final confirmation filter. For every signal generated by the core IGMD system, the ML model calculates a probability score—its confidence that the price will move in the predicted direction. Signals are only displayed if they pass this confidence check.
Key Features of the ML Engine
Automated Regime Filter: The ML engine uses the Fractal Dimension and Shannon Entropy kernels to identify choppy, unpredictable markets. During these periods, the system automatically pauses new signal generation to help preserve capital.
Adaptive Confidence Threshold: To optimize performance, the ML engine features an optional self-adjusting confidence threshold. This system tracks its own rolling accuracy and adjusts its selectivity accordingly, becoming more cautious in uncertain periods and more opportunistic when its accuracy is high.
Feature Importance Monitoring: The dashboard displays which of the core IGMD features (e.g., Wave, Hurst, Entropy) the ML model is currently relying on most. This provides valuable insight into the market's character and what is driving the model's decisions.
Advanced Adaptation: The Reinforcement Learning Bandit (Experimental)
For advanced users, this version includes an experimental feature based on a Multi-Armed Bandit , a concept from reinforcement learning. When enabled, this system can automatically switch between different parameter presets (e.g., Conservative, Balanced, Aggressive) based on the current market regime. It learns over time which preset performs best under specific conditions by balancing the exploitation of known successful strategies with the exploration of others.
Fusion & Interpretation: The Field Score & Enhanced Dashboard
The Field Score: The outputs of the five kernels are fused into a single, comprehensive "Field Score" ranging from -1 (maximum bearish alignment) to +1 (maximum bullish alignment). This remains the ultimate at-a-glance metric for the market's net state.
The Enhanced Dashboard: Your mission control has been upgraded to include the ML engine's analysis. Alongside the core kernel readouts, you can now monitor:
ML Status: See if the model is active, warming up, or disabled.
ML Probability: View the model's real-time confidence for a bullish move.
Regime Status: Instantly know if the market is "Trending," "Normal," or "Choppy (Paused)."
Top Feature: Identify the most influential IGMD kernel according to the ML model.
Signal Status: See the final, ML-vetted signal.
Mastering the Controls: A Guide to the Inputs
The inputs menu gives you full control over the IGMD and ML engines.
🤖 Machine Learning Engine:
Enable ML Probability Model: The master switch for the entire ML layer.
Prediction Horizon: Set how many bars ahead you want the ML model to predict. This should align with your trading style.
ML Confidence Threshold: The minimum probability required for the ML model to approve a signal. This is your primary tool for adjusting signal quality versus frequency.
Pause in Choppy Regimes: Enable or disable the automated filter that stops trading in unfavorable conditions.
Auto-Adjust Threshold: Allow the system to self-optimize its confidence threshold based on recent accuracy.
🎰 Adaptive Parameter Bandit:
Enable Parameter Bandit: Activate the experimental reinforcement learning agent to manage strategy presets automatically.
Reading the Battlefield: On-Chart Visuals
In addition to the established pattern boxes, RR rails, and signal markers, a new visual element has been added:
ML Rejection Markers (✗): An orange '✗' will appear on the chart when the core IGMD system identifies a potential setup, but the ML model's confidence is below your defined threshold. This provides crucial feedback, showing you which signals were intelligently filtered out by the intelligence layer for having a lower probability of success.
A Methodological Distinction: What Sets IGMD Apart **
What sets this framework apart is its foundational approach. Instead of relying on traditional technical indicators, IGMD is architected as a multi-disciplinary engine that fuses concepts from signal processing, chaos theory, and information theory. It moves beyond analyzing simple price action to measure the market's underlying "information field"—quantifying its memory, complexity, and causal flows into a single, unified score. The integrated machine learning layer builds on this foundation, creating a transparent, adaptive filter that learns from market conditions in real-time. This combination of a fused, multi-dimensional analysis with a live, probabilistic intelligence layer offers a more dynamic and nuanced perspective than static, single-purpose indicators.
Development Philosophy & A Final Word
This script was designed to answer a single question: "What is the market *really* doing?" The addition of a transparent, adaptive machine learning layer is the next logical step in this pursuit—using computational intelligence to navigate the vast amount of information the core kernels provide.
This tool is offered for educational and analytical purposes and does not constitute financial advice. Its goal is to elevate market analysis from interpreting flat shadows to measuring the rich, geometric reality of the market's information field.
As the great mathematician Benoit Mandelbrot, father of fractal geometry, noted:
"Clouds are not spheres, mountains are not cones, coastlines are not circles, and bark is not smooth, nor does lightning travel in a straight line."
Neither does the market. IGMD is a tool designed to help navigate that beautiful, complex, and fractal reality.
— Dskyz, Trade with insight. Trade with anticipation.
