Volume Profile, Pivot Anchored by DGTVolume Profile (also known as Price by Volume ) is an charting study that displays trading activity over a specified time period at specific price levels. It is plotted as a horizontal histogram on the finacial isntrumnet's chart that highlights the trader's interest at specific price levels. Specified time period with Pivots Anchored Volume Profile is determined by the Pivot Levels, where the Pivot Points High Low indicator is used and presented with this Custom indicator
Finally, Volume Weighted Colored Bars indicator is presneted with the study
Different perspective of Volume Profile applications;
Anchored to Session, Week, Month etc : Anchored-Volume-Profile
Custom Range, Interactive : Volume-Profile-Custom-Range
Fixed Range with Volume Indicator : Volume-Profile-Fixed-Range
Combined with Support and Resistance Indicator : Price-Action-Support-Resistance and Volume-Profile
Combined with Supply and Demand Zones, Interactive : Supply-Demand-and-Equilibrium-Zones
Disclaimer : Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Cari dalam skrip untuk "demand"
DrawingOBForSMCDrawing OB for SMC trading technique.
Control the parameters to:
- Only draw supply
- Only draw demand.
- Draw minor structure...
Multi-TimeFrame Extremum Points Support/ResistanceIntroduction
This is my newest Support/Resistance indicator based on the idea of my previous script which had been featured in Editors' Picks .
Everyone seems to have their own idea of how you should measure support and resistance levels. This code finds the exact highest and lowest price points (Extrema) on the chart and then draws the support and resistance levels on them.
In my opinion, the advantage of this method is that the most powerful resistance/support levels which usually cover the supply/demand areas would be formed on these extremum points, as the following facts state.
Facts
1. Support and resistance levels are one of the key concepts used by technical analysts and form the basis of a wide variety of technical analysis tools. Technical analysts use support and resistance levels to identify price points on a chart where the probabilities favor a pause or reversal of a prevailing trend.
2. Supply and demand zones are natural support and resistance levels and a popular analysis technique used in day trading. The zones are the periods of sideways price action that come before explosive price moves. A supply zone forms before a downtrend and a demand zone forms before an uptrend. When the price leaves the supply/demand zone and starts trending, the strong imbalance between buyers and sellers leads to strong and explosive price movements.
3. Based on Dow Theory, trends persist until a clear reversal occurs. A reversal is a change in the price direction of an asset. Reversals typically refer to large price changes, where the trend changes direction.
Challenges
The most challenging part in implementing a S/R indicator which draws all the levels on the chart is the problem of congestion!
But we should notice two other facts:
1. The more times the price tests a support or resistance area, the more significant the level becomes.
2. A previous support level will sometimes become a resistance level when the price attempts to move back up, and conversely, a resistance level will become a support level as the price temporarily falls back.
So, I solved the problem using these two approaches:
Merging nearby levels and showing the role of the levels in colors and numbers
Avoiding many weaker levels by checking higher time frames
Settings and Usage
There are some options in the indicator settings as described below:
Calculations Time Frame: By changing the time frame, user could keep only the stronger S/R levels on the chart.
Level Colors: By default, lowest points (Supports) are green, highest points (Resistances) are red and merged levels are blue. Note that the transparency of the colors would be calculated automatically; The more opaque the color is, the stronger the level is!
Lines Style and Width: The style of the levels could be solid, dashed or dotted and user could also change the lines width in pixels.
Length of the lines: This option is based on the count of bars, but user could simply choose to extend the levels
Merge Nearby Levels: The proximity of the levels would be calculated automatically based on ATR (Average True Range) and the default length of the formula could be changed.
Labels: Each level could have a label consisting the count of merged levels into one, the percentage of merged supports/resistances and the price of the level. Note that if user choose to see the percentage of S/R roles, the color of each label changes automatically based on the main role of corresponding merged level (e.g., a blue level with a red label means that the level more acted as resistance).
I think the users of my previous S/R indicators could check this one
That's it for now! Feel free to send me your thoughts!
Higher order Orderblocks + Breakerblocks + Range + AlertsThis script identifies Orderblocks, Breakerblocks and Range using higher order pivots and priceaction logic.
I tried to reduce the number of blocks to make the chart cleaner, for this purpose I use only second order pivots for both MSB lines and supply/demand boxes, I also tried to filter out shifts in MS and false breakouts.
Any box has GRAY color until it gets tested.
After successful test box gets colors:
RED for Supply
GREEN for Demand
BLUE for any Breakerblocks
For cleaner chart and script speed all broken boxes deletes from chart.
It gives comparatively clean chart on any TF, even on extra small (5m, 3m, 1m).
For Range there is option to plot 0.25, 0.5, 0.75 lines.
I usually use log scale on charts and there is an option to use it for proper range mean.
In previous my scripts i have requests to make alerts and this time i made it.
It has customizable alert catching all needed alerts into one output:
- Alert MSB - when market structure changes alert will inform you about its direction, MSB line and new Demand/Supply.
- Alert Orderblock or Breakerblock test - alerts when block was tested and it holds (in other words when it get RED/GREEN/BLUE colors)
- Alert New Range - when new range detected
- Alert Range test - alerts when range top or botoom was tested and it holds.
some examples :
node nirvanaThis indicator is suitable for those who have studied Mr. Nirvana's course, as well as those who work in the style of supply and demand.
Faith Indicator eykpunter [DM] Greetings Colleagues
I share here a slightly modified version of the fabulous indicator designed by @eykpunter.
Moidifications =
Ploting aspect
Signals transparency
BackGround Trend Signals transparency
Signal length
The two lines of code have been converted into the functions
This indicator compares buyers demand with sellers supply volumes and calculates which prevails. Therefore it only works if volume is published. Buyers demand is assumed for a period in which a higher high is reached with more volume . Sellers supply is recognized by a lower low combined with more volume .
The average of sellers supplies is subtracted from buyers demand, the result is graded because a statement like “The faith in this period was ## percent” has no meaning. We can conclude to more faith and less faith but not represent it in some exact number.
This indicator assigns the following grades:
Very high faith graduated as 8
High faith as 6
Good faith as 4
Some Faith as 2
Little Faith as 1
Neither Faith nor Distrust as zero
Self Protection Distrust graduated as -8
Fear Distrust as -6
Anxiety Distrust as -4
Suspicion Distrust as -2
Doubt Distrust as -1
It is presented as a histogram with blue staves pointing up (meaning faith) and red staves pointing down (meaning distrust)
The background is colored using the Hull Agreement Indicator (Hullag), which I published before. Hullag graduates price movements in five grades to which it assigns a background color. These are as follows:
grade 2: blue, clear upward movement
grade 1: green, some upward movement
grade 0: silver , neither upward nor downward movement
grade -1: maroon, some downward movement
grad -2: red, clear downward movement.
Use of the Faith Indicator:
The indicator shows price action/momentum as a background color and volume action analyzed as a grade of faith in the form of a histogram. Usually faith comes together with rising prices (blue/green background) and distrust with lowering prices (red/maroon background), however contrarian situations occur, e.g. lowering prices while the market has good faith. These can be explained by minority sellers who act contrary to the feelings in the market. You can then decide that this might be an unsustainable move of the quotes.
If the faith indicator confirms the price movement, you might assume that the move is meaningful and will go further. Also if you see faith diminishing you might assume that the move is coming to an end and the tide is going to turn.
Bitcoin Logarithmic Fractal Growth Model By ARUDDThis model, which I'm calling the Logarithmic Fractal Growth Mode (L.F.G) , uses Bitcoin's mathematical monetary policy to evaluate the future possible price valuation.
It takes into account fractal (and logarithmic) growth as well as how those who hold bitcoins might react to certain events such as changes in supply and demand. It also shows that it is mathematically logical that someday it must become stable.
The information gained from knowing this helps people make more informed decisions when buying bitcoin and thinking of its future possibilities.
The model can serve as some type of general guideline for determining how much bitcoins should be worth in the future if it follows a certain path from its current price.
Modeling Bitcoin's money supply mathematically, and knowing that there is a finite number of them, makes this whole process much more rational than just thinking about the possibilities in pure subjective terms.
Before going any further I want to say that no one can know with absolute certainty what will happen to bitcoins price in the future, but using mathematics gives us an idea of where things are headed.
The results presented here are based on very reasonable assumptions for how bitcoin might continue to grow (and then level out) once there are over 21 million bitcoins in existence.
The model shows that bitcoin's price can never go down to zero (thus creating the "death spiral" phenomenon), and as such, bitcoin has an extremely high probability of becoming stable as it approaches infinity.
Conversely, this model also shows that at some point there is a high probability that bitcoin will not continue to grow exponentially forever.
Credit goes to Quantadelic for the awesome original script.
ARUDD
Bollinger Bands Touch MapThis simple script based on Bollinger Bands to collect Touch Point at bandsand display them on the map. Detail of rule as below:
1.Define Touch Point
1.1.Touch Point at Lower Band
+ Key bar:
- Open Price lower than BB lower band, Close Price higher than BB lower band
+ Touch Point:
- Median Price (HL2) of Key bar
1.2.Touch Point at Upper Band
+ Key bar:
- Open Price higher than BB upper band, Close Price lower than BB upper band
+ Touch Point:
- Median Price (HL2) of Key bar
1.3.Zero Point
- Close Price of Current bar
===================================
2.Touch Map
+ Last 5 Touch Point will be show on the map
+ Newest Touch point is numbered as (1) and show at the left of Zero Point
+ Each Point has a label show point's value
===================================
3.Fibonacci
+ Enable: Apply to number of Touch Points indicated
+ Style Up: 0 Level at the bottom
+ Style Down: 0 Level at the top
===================================
4.123 Pattern
+ Pattern: dot 2 and dot 3 at the Top and the Bottom of group 1234
+ M Pattern: dot 3 at the Top of group 135 and at the Bottom of group 234
+ W Pattern: dot 3 at the Bottom of group 135 and at the Top of group 234
===================================
5.Supply Demand Zone
5.1.Supply Zone
+ Supply Zone is area map structure change from upward to downward
+ Supply Zone is limited by 2 dots highest before upward structure broken
5.2.Demand Zone
+ Demand Zone is area map structure change from downward to upward
+ Demand Zone is limited by 2 dots lowest before downward structure broken
============================================================================
6.6.Over Block
6.1.Overbought Block
+ Overbought Block is location Long position covering
+ Ovb Block is limited by higest high and upper band at top of map
6.2.Oversold Block
+ Oversold Block is location Short position covering
+ Ovs Block is limited by lowest low and lower band at bottom of map
===================================
7.RSI Column
+ RSI Overbought is marked by Overbought color
+ RSI Oversold is marked by Oversold color
+ RSI Normal is marked by Normal color
+ Symbol ▲: RSI growing
+ Symbol ▼: RSI falling
===================================
8.Volume Direction
+ Volume growing is marked by Up Color
+ Volume falling is marked by Down Color
+ New Highest Volume on the map is marked by High Color and H Label
+ New Lowest Volume on the map is marked by Low Color and L Label
+ Volume higher than Median level is marked by Up Color and M Label
===================================
9.Useful features
+ Quickly find chart patter: 123, M, W...
+ Quickly find wave patter: I, V, N...
+ Quickly find Key level when moving between different Time Frame
+ Quickly recognize chart is trending or trendless
+ Quickly recognize divergence of Price and Volume
+ Quickly calculate Entry, Stoploss, Takeprofit by using Fibonacci
Faith IndicatorThis indicator compares buyers demand with sellers supply volumes and calculates which prevails. Therefore it only works if volume is published. Buyers demand is assumed for a period in which a higher high is reached with more volume. Sellers supply is recognized by a lower low combined with more volume.
The average of sellers supplies is subtracted from buyers demand, the result is graded because a statement like “The faith in this period was ## percent” has no meaning. We can conclude to more faith and less faith but not represent it in some exact number.
This indicator assigns the following grades:
Very high faith graduated as 8
High faith as 6
Good faith as 4
Some Faith as 2
Little Faith as 1
Neither Faith nor Distrust as zero
Self Protection Distrust graduated as -8
Fear Distrust as -6
Anxiety Distrust as -4
Suspicion Distrust as -2
Doubt Distrust as -1
It is presented as a histogram with blue staves pointing up (meaning faith) and red staves pointing down (meaning distrust)
The background is colored using the Hull Agreement Indicator (Hullag), which I published before. Hullag graduates price movements in five grades to which it assigns a background color. These are as follows:
grade 2: blue, clear upward movement
grade 1: green, some upward movement
grade 0: silver, neither upward nor downward movement
grade -1: maroon, some downward movement
grad -2: red, clear downward movement.
Use of the Faith Indicator:
The indicator shows price action/momentum as a background color and volume action analyzed as a grade of faith in the form of a histogram. Usually faith comes together with rising prices (blue/green background) and distrust with lowering prices (red/maroon background), however contrarian situations occur, e.g. lowering prices while the market has good faith. These can be explained by minority sellers who act contrary to the feelings in the market. You can then decide that this might be an unsustainable move of the quotes.
If the faith indicator confirms the price movement, you might assume that the move is meaningful and will go further. Also if you see faith diminishing you might assume that the move is coming to an end and the tide is going to turn.
Support and Resistance Levels [racer8]One of the oldest concepts in trading. It's here guys. Drum roll please. Support & resistance baby! 🤣
So many requests from so many people asking me to build this. Finally. It is here guys 😀 Support and Resistance is here by racer8!
Indeed, S&R is used by so many traders. It is often one of the first concepts a trader will learn. I myself, can attest to this.
So what is support and resistance? 🤔
Good question, S&R are certain price levels that are created when a peak or trough has formed. Many traders use these peaks/troughs and extend lines out from them to create support & resistance levels.
Support levels are extended out from troughs. Resistance levels from peaks.
It is often believed that price bounces between these levels due to some unknown mysterious force known as supply and demand. 🙀
If you're a reversal trader, your strategy would likely be trying to short whenever price reaches a resistance level and vice versa for support levels.
If you're a trend trader, your strategy would likely be trying to go long whenever price breaks a resistance level and vice versa for support levels.
This Indicator...
Has one setting that controls which levels are formed. Higher settings equals less levels formed, but more important ones. Don't set it too high or too low. There is an optimal setting. Setting it too high will result in very few levels and thus, too little opportunities to trade. Setting it too low means the indicator will give you insignificant levels..also bad idea. So try to find something optimal like 10 to 20 periods for instance. 👍
Enjoy and have a blast!😀
Peace, I'm out! 🙏 💥
Combo Backtest 123 Reversal & MACD Crossover with Trail and Stop
This is a modification of @HPotter "Combo Backtest 123 Reversal & MACD Crossover" script.
I've added a trail stop, basic leverage simulation and stop loss.
Below is HPotter's explanation of the script principals.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
MACD – Moving Average Convergence Divergence. The MACD is calculated
by subtracting a 26-day moving average of a security's price from a
12-day moving average of its price. The result is an indicator that
oscillates above and below zero. When the MACD is above zero, it means
the 12-day moving average is higher than the 26-day moving average.
This is bullish as it shows that current expectations (i.e., the 12-day
moving average) are more bullish than previous expectations (i.e., the
26-day average). This implies a bullish , or upward, shift in the supply/demand
lines. When the MACD falls below zero, it means that the 12-day moving average
is less than the 26-day moving average, implying a bearish shift in the
supply/demand lines.
A 9-day moving average of the MACD (not of the security's price) is usually
plotted on top of the MACD indicator. This line is referred to as the "signal"
line. The signal line anticipates the convergence of the two moving averages
(i.e., the movement of the MACD toward the zero line).
Let's consider the rational behind this technique. The MACD is the difference
between two moving averages of price. When the shorter-term moving average rises
above the longer-term moving average (i.e., the MACD rises above zero), it means
that investor expectations are becoming more bullish (i.e., there has been an
upward shift in the supply/demand lines). By plotting a 9-day moving average of
the MACD , we can see the changing of expectations (i.e., the shifting of the
supply/demand lines) as they occur.
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Backtest 123 Reversal & MACD Crossover This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
MACD – Moving Average Convergence Divergence. The MACD is calculated
by subtracting a 26-day moving average of a security's price from a
12-day moving average of its price. The result is an indicator that
oscillates above and below zero. When the MACD is above zero, it means
the 12-day moving average is higher than the 26-day moving average.
This is bullish as it shows that current expectations (i.e., the 12-day
moving average) are more bullish than previous expectations (i.e., the
26-day average). This implies a bullish, or upward, shift in the supply/demand
lines. When the MACD falls below zero, it means that the 12-day moving average
is less than the 26-day moving average, implying a bearish shift in the
supply/demand lines.
A 9-day moving average of the MACD (not of the security's price) is usually
plotted on top of the MACD indicator. This line is referred to as the "signal"
line. The signal line anticipates the convergence of the two moving averages
(i.e., the movement of the MACD toward the zero line).
Let's consider the rational behind this technique. The MACD is the difference
between two moving averages of price. When the shorter-term moving average rises
above the longer-term moving average (i.e., the MACD rises above zero), it means
that investor expectations are becoming more bullish (i.e., there has been an
upward shift in the supply/demand lines). By plotting a 9-day moving average of
the MACD, we can see the changing of expectations (i.e., the shifting of the
supply/demand lines) as they occur.
WARNING:
- For purpose educate only
- This script to change bars colors.
90% DaysIndicator from the paper "IDENTIFYING BEAR MARKET BOTTOMS AND NEW BULL MARKETS"
This paper was the winner of the prestigious 2002 Charles H. Dow Award. Each year the Market Technicians Association, in alliance with Dow Jones and Company, presents an award for excellence in the field of Technical Analysis. The recipient of that award in 2002 was Paul Desmond, President of Lowry Research Corporation.
"Important market bottoms are preceded by, and result from, important market declines.
And, important market declines are, for the most part, a study in the extremes of human emotion.
The intensity of their emotions can be statistically measured through their purchases and sales. To
clarify, as prices initially begin to weaken, investor psychology slowly shifts from complacency to
concern, resulting in increased selling and an acceleration of the decline. As prices drop more
quickly, and the news becomes more negative, the psychology shifts from concern to fear. Sooner
or later, fear turns to panic, driving prices sharply lower, as investors strive to get out of the market
at any price. It is this panic stage that drives prices down to extreme discounts – often well below
book values – that is needed to set the stage for the next bull market. Thus, if an investor had a
method for identifying and measuring panic selling, at least half the job of spotting major market
bottoms would be at hand.
Over the years, a number of market analysts have attempted to define panic selling (often
referred to as a selling climax, or capitulation) in terms of extreme activity, such as unusually
active volume, a massive number of declining stocks, or a large number of new lows. But, those
definitions do not stand up under critical examination, because panic selling must be measured in
terms of intensity, rather than just activity. To formulate our definition of panic selling, we
reviewed the daily history of both the price changes and the volume of trading for every stock
traded on the New York Stock Exchange over a period of 69 years, from 1933 to present. We
broke the volume of trading down into two parts – Upside (buyers) Volume and Downside (sellers)
Volume. We also compiled the full and fractional dollars of price change for all NYSE-listed
stocks that advanced each day (Points Gained), as well as the full and fractional dollars of price
change for all NYSE-listed stocks that declined each day (Points Lost). These four daily totals –
Upside Volume and Points Gained, Downside Volume and Points Lost – represent the basic
components of Demand and Supply, and have been an integral part of the Lowry Analysis since
1938. (Note: an industrious statistician can compile these totals from the NYSE stock tables in
each day’s Wall Street Journal.)
In reviewing these numbers, we found that almost all periods of significant market decline
in the past 69 years have contained at least one, and usually more than one, day of panic selling in
which Downside Volume equaled 90.0% or more of the total of Upside Volume plus Downside
Volume, and Points Lost equaled 90.0% or more of the total of Points Gained plus Points Lost.
...
But, there is a second key ingredient to every major market bottom. It is essential to
recognize that days of panic selling cannot, by themselves, produce a market reversal, any more
than simply lowering the sale price on a house will suddenly produce an enthusiastic buyer. As the
Law of Supply and Demand would emphasize, it takes strong Demand, not just a reduction in
Supply, to cause prices to rise substantially. It does not matter how much prices are discounted; if
investors are not attracted to buy, even at deeply depressed levels, sellers will eventually be forced
to discount prices further still, until Demand is eventually rejuvenated. Thus, our 69-year record
shows that declines containing two or more 90% Downside Days usually persist, on a trend basis,
until investors eventually come rushing back in to snap up what they perceive to be the bargains of
the decade and, in the process, produce a 90% Upside Day (in which Points Gained equal 90.0% or
more of the sum of Points Gained plus Points Lost, and on which Upside Volume equals 90.0% or
more of the sum of Upside plus Downside Volume). These two events – panic selling (one or more
90% Downside Days) and panic buying (a 90% Upside Day, or on rare occasions, two back-toback 80% Upside Days)
– produce very powerful probabilities that a major trend reversal has
begun, and that the market’s Sweet Spot is ready to be savored."
Includes an option to display 90% days for NASDAQ, but these are much rarer and, oddly, there are no Upside Days.
*Includes an option for repainting -- default value is true, meaning the script will repaint the current bar.
False = Not Repainting = Value for the current bar is not repainted, but all past values are offset by 1 bar.
True = Repainting = Value for the current bar is repainted, but all past values are correct and not offset by 1 bar.
In both cases, all of the historical values are correct, it is just a matter of whether you prefer the current bar to be realistically painted and the historical bars offset by 1, or the current bar to be repainted and the historical data to match their respective price bars.
As explained by TradingView,`f_security()` is for coders who want to offer their users a repainting/no-repainting version of the HTF data.
CROSS EMEMA 50 SE UTILIZA COMO UNA TENDENCIA Y SOPORTE-RESISTENCIA DIMANICO, EMA 3 Y 6 SON LA CONFIRMACION DEL TRADE, CUANDO SE CRUZAN LAS EMAS 3 Y 6 ES UNA BUENA CONFIRMACION PARA ENTRAR AL TRADE, UTILIZAR CON ZONAS DE OFERTA Y DEMANDA Y LINEAS DE TENDENCIA
MACD Crossover Backtest MACD – Moving Average Convergence Divergence. The MACD is calculated
by subtracting a 26-day moving average of a security's price from a
12-day moving average of its price. The result is an indicator that
oscillates above and below zero. When the MACD is above zero, it means
the 12-day moving average is higher than the 26-day moving average.
This is bullish as it shows that current expectations (i.e., the 12-day
moving average) are more bullish than previous expectations (i.e., the
26-day average). This implies a bullish, or upward, shift in the supply/demand
lines. When the MACD falls below zero, it means that the 12-day moving average
is less than the 26-day moving average, implying a bearish shift in the
supply/demand lines.
A 9-day moving average of the MACD (not of the security's price) is usually
plotted on top of the MACD indicator. This line is referred to as the "signal"
line. The signal line anticipates the convergence of the two moving averages
(i.e., the movement of the MACD toward the zero line).
Let's consider the rational behind this technique. The MACD is the difference
between two moving averages of price. When the shorter-term moving average rises
above the longer-term moving average (i.e., the MACD rises above zero), it means
that investor expectations are becoming more bullish (i.e., there has been an
upward shift in the supply/demand lines). By plotting a 9-day moving average of
the MACD, we can see the changing of expectations (i.e., the shifting of the
supply/demand lines) as they occur.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
GC RSI Columns V2016This is a basic RSI indicator but in column format.I had been using this for a while and it gives a nice visual representation of trend change by changing color of the column.
Base line is 50 level. Anything above 50 is buy opportunity and below 50 is sell opportunity . Try it on higher time frames and see the results.
Example on chart above.
Note: i published it on demand. many folks were asking me for this ,since it(column rsi) was not available in public indicators
VPT_OBVThis is a derivation of the On Balance Volume Indicator.
The idea behind it is that volume consists of two parts. The driving theory is the basic law of supply and demand.
Part 1: Volume consists of shares traded at an equilibrium price. An equal number of buyers and sellers are present during this volume. This area is displayed as the upper and lower shadows on a single candlestick. For this indicator, volume traded in equilibrium is not included in the display.
Part 2: Volume consists of shares that are not traded at an equilibrium price, driving price up or down for the time period. In this volume, buyers or sellers are not present in equal numbers. This area is displayed as the body of the candlestick. This indicator focuses on this part of volume.
VPT_OBV plots only the volume that occurs at the difference in price between the open and the close. To achieve this, volume is divided by the difference between the high and the low (in pennies). Next, the difference between the open and close is calculated (in pennies). Volume is then divided by the difference in the high and low, to get the amount of volume needed to move the asset up or down by $0.01 during the time period. This number is then multiplied by the difference between the open and close.
VPT_OBV plots the outcome as a cumulative total. A simple moving average of the VPT_OBV is thrown in to provide smoothing.
Yacine EMA Bands V2Version 2, because of popular demand.
Default values are weekly.
Feel free to try other configurations.
Indicator: Weis Wave Volume [LazyBear]This indicator takes market volume and organizes it into wave charts, clearly highlighting inflection points and regions of supply/demand.
Try tuning this for your instrument (Forex not supported) by adjusting the "Trend Detection Length". This "clubs together" minor waves. If you like an oscillator-kind-of display, enable "ShowDistributionBelowZero" option.
Note: This indicator is a port of a clone of WeisVolumePlugin available for another platform. I don't know how close this is to the original Weis, if any has access to it, do let me know how this compares. Thanks.
More info:
weisonwyckoff.com
Complete list of my indicators:
MACD Crossover MACD – Moving Average Convergence Divergence. The MACD is calculated
by subtracting a 26-day moving average of a security's price from a
12-day moving average of its price. The result is an indicator that
oscillates above and below zero. When the MACD is above zero, it means
the 12-day moving average is higher than the 26-day moving average.
This is bullish as it shows that current expectations (i.e., the 12-day
moving average) are more bullish than previous expectations (i.e., the
26-day average). This implies a bullish, or upward, shift in the supply/demand
lines. When the MACD falls below zero, it means that the 12-day moving average
is less than the 26-day moving average, implying a bearish shift in the
supply/demand lines.
A 9-day moving average of the MACD (not of the security's price) is usually
plotted on top of the MACD indicator. This line is referred to as the "signal"
line. The signal line anticipates the convergence of the two moving averages
(i.e., the movement of the MACD toward the zero line).
Let's consider the rational behind this technique. The MACD is the difference
between two moving averages of price. When the shorter-term moving average rises
above the longer-term moving average (i.e., the MACD rises above zero), it means
that investor expectations are becoming more bullish (i.e., there has been an
upward shift in the supply/demand lines). By plotting a 9-day moving average of
the MACD, we can see the changing of expectations (i.e., the shifting of the
supply/demand lines) as they occur.
Reversal Scalper – Adib NooraniThe Reversal Scalper is an indicator designed to identify potential reversal zones based on supply and demand dynamics. It uses smoothed stochastic logic along with ATR bands, to reduce noise and highlight areas where momentum may be weakening, signaling possible market turning points.
🔹 Smooth, noise-reduced stochastic oscillator
🔹 Custom zones to highlight potential supply and demand imbalances
🔹 Non-repainting, compatible across all timeframes and assets
🔹 Visual-only tool — intended to support discretionary trading decisions
This oscillator assists scalpers and intraday traders in tracking subtle shifts in momentum, helping them identify when a market may be preparing to reverse — always keeping in mind that trading is based on probabilities, not certainties.
📘 How to Use the Indicator Efficiently
For Reversal Trading:
Buy Setup
– When the blue line dips below the 20 level, wait for it to re-enter above 20.
– Look for reversal candlestick patterns (e.g., bullish engulfing, hammer, or morning star).
– Enter above the pattern’s high, with a stop loss below its low.
Sell Setup
– When the blue line rises above the 80 level, wait for it to re-enter below 80.
– Look for bearish candlestick patterns (e.g., bearish engulfing, inverted hammer, or evening star).
– Enter below the pattern’s low, with a stop loss above its high.
🛡 Risk Management Guidelines
Risk only 0.5% of your capital per trade
Book 50% profits at a 1:1 risk-reward ratio
Trail the remaining 50% using price action or other supporting indicators
Pivot and Wick Boxes with Break Signals v2█ OVERVIEW
The "Pivot and Wick Boxes with Break Signals v2" is an advanced Pine Script® technical analysis tool that identifies pivot points (highs and lows) on the chart and draws customizable boxes based on the wicks of pivot candles. It is ideal for traders using price action strategies, helping to identify key support and resistance levels and potential breakout trading opportunities. With flexible settings, a volume filter, and label grouping, the indicator ensures clarity and precision on the chart.
█ CONCEPTS
The indicator modifies how zones are drawn, displaying boxes on the latest candle rather than extending from the zones based on pivot candle wicks. This approach prevents visual clutter on the chart, allowing simultaneous use of other indicators without sacrificing clarity.
Why are wicks important?Wicks of pivot candles indicate significant market reactions in key areas. Depending on the context, they may signal rejection, testing, or absorption of support or resistance levels. Long wicks often appear where large players are active, and the marked zones are frequently retested. The indicator enables quick identification and observation of their impact on future price movements.
█ FEATURES
Pivot Detection: Identifies pivot points (highs and lows) based on a user-defined lookback period (Pivot Length), with options to display boxes for high and low pivot candle wicks separately.
Customizable Boxes: Draws boxes based on pivot candle wicks with adjustable border colors, background gradients, border styles (solid, dashed, dotted), and border widths.
Breakout Signals: Generates buy (green upward triangle) and sell (red downward triangle) signals when the price breaks through a pivot and the candle closes on the opposite side, indicating potential trend continuation. If the price approaches a pivot zone but fails to break it, this may suggest a potential trend reversal or the end of a correction.
Volume Filter: Optional volume-based signal filter that requires breakouts to have a volume exceeding a user-defined multiplier of the average volume over a specified period. Note: the volume filter will not work on markets where volume data is unavailable.
Label Grouping: Automatically groups overlapping pivot labels to avoid chart clutter, displaying only key price levels.
█ HOW TO USE
Add to Chart: Apply the indicator to your TradingView chart via the Pine Editor or Indicators menu.
Configure Settings:
Pivot Settings: Adjust Pivot Length to change the sensitivity of pivot detection—the value represents the number of candles, which equals the delay in displaying the pivot. Larger values generate fewer pivots, but they are generally more significant. Set Max High Pivot Boxes and Max Low Pivot Boxes to control the number of displayed boxes.
Signal Settings: Enable Use Volume Filter for Signals to require higher volume for breakouts, and adjust Average Volume Multiplier and Average Volume Period. A volume multiplier of 1 means the filter allows pivots with a volume equal to or greater than the average volume over the specified period.
Box Styling: Configure border colors, background gradients, line thickness, and border styles for high and low pivot boxes.
Interpreting Signals:
Buy Signal: A green triangle below the bar indicates a breakout above a high pivot box, suggesting potential continuation of an uptrend.
Sell Signal: A red triangle above the bar indicates a breakout below a low pivot box, suggesting potential continuation of a downtrend.
Non-Breakout Zones: If the price approaches a pivot zone but fails to break it, it may indicate a potential trend reversal or the end of a correction (e.g., price rejection at a resistance level in a downtrend or a support level in an uptrend).
Overlapping Zones: If pivot zones overlap, it indicates the level has been tested multiple times, suggesting its significance in the market.
Use signals in conjunction with other technical analysis tools for confirmation.
Monitoring Levels: Use labeled pivot levels as potential support and resistance zones for trade planning.
█ APPLICATIONS
Price Action Trading: Use pivot levels as support and resistance zones. For example, in an uptrend, you can look for buying opportunities near low pivot zones (support), where price often bounces after testing the wick of a pivot candle. Combining with other indicators, such as Fibonacci levels, enhances the significance of pivot zones—if they align with Fibonacci levels and are accompanied by high volume, the zone is considered stronger.
Breakout Strategies: Trade based on breakout signals from key pivot zones. A buy signal after a breakout from a high pivot with confirmed volume may indicate continued upward movement. Using the indicator with other tools, such as moving averages or RSI, can help confirm the strength of the breakout.
Practical Approach:
The more frequently a zone is tested in a short period, the higher the risk of a breakout, as supply or demand may be exhausted.
The longer a zone holds without breaking, the more significant it becomes for the market, both psychologically and technically.
As the saying goes: “A zone is strong until it breaks—when it does, a strong move often follows.”
How to observe?
Strong bounces from a zone indicate that demand or supply remains active.
Weaker bounces or price lingering near the level may suggest the market is preparing for a breakout.
█ NOTES
Test the indicator across different timeframes and markets (stocks, forex, crypto) to optimize settings for your trading style.
The volume filter will not work on markets where volume data is unavailable. In such cases, disable the volume filter in the settings.
For best results, use on high-liquidity markets when the volume filter is enabled.