Webby's Quick & Grateful Dead RSWebby's Quick & Grateful Dead RS combines a Relative Strength Line and Moving Averages to help traders hold a core position in a winning stock by identifying moments of strength and weakness in a stocks advance.
The Relative Strength (RS) line is something many investors are familiar with. It is used to measure a stocks performance versus the S&P 500 (default setting) and is typically calculated by dividing the closing price of the stock by the closing price of the S&P. This means if a stock moves up and the S&P moves down or the stock moves up more than the S&P the RS line will increase, if the stock moves down while the S&P moves up the line will decrease.
While the RS Line by itself is a powerful tool, adding moving averages to the RS line can help better understand trends. This work was done by Mike Webster (Webby) as he tried to reverse engineer how William O'Neil was able to hold some of his biggest winning positions.
This indicator plots the RS line along with two moving averages and clearly labels and alerts the 3 signals shared by Webby:
Quick Break - RS line crosses below the fast moving average
Quicksand - RS line moves lower than it was at the time of the Quick Break
Grateful Dead Break - RS line crosses below the slow moving average
To ensure your chart doesn't get skewed, please use the multiplier in the setting to adjust the vertical offset of the RS line and moving averages.
Volume
Liquidation Estimates (Real-Time) [LuxAlgo]The Liquidation Estimates (Real-Time) experimental indicator attempts to highlight real-time long and short liquidations on all timeframes. Here with liquidations, we refer to the process of forcibly closing a trader's position in the market.
By analyzing liquidation data, traders can gauge market sentiment, identify potential support and resistance levels, identify potential trend reversals, and make informed decisions about entry and exit points.
🔶 USAGE
Liquidation refers to the process of forcibly closing a trader's position. It occurs when a trader's margin account can no longer support their open positions due to significant losses or a lack of sufficient margin to meet the maintenance requirements.
Liquidations can be categorized as either a long liquidation or a short liquidation. A long liquidation is a situation where long positions are being liquidated, while short liquidation is a situation where short positions are being liquidated.
The green bars indicate long liquidations – meaning the number of long positions liquidated in the market. Typically, long liquidations occur when there is a sudden drop in the asset price that is being traded. This is because traders who were bullish on the asset and had opened long positions on the same will now face losses since the market has moved against them.
Similarly, the red bars indicate short liquidations – meaning the number of short positions liquidated in the futures market. Short liquidations occur when there is a sudden spike in the price of the asset that is being traded. This is because traders who were bearish on the asset and had opened short positions will now face losses since the market has moved against them.
Liquidation patterns or clusters of liquidations could indicate potential trend reversals.
🔹 Dominance
Liquidation dominance (Difference) displays the difference between long and short liquidations, aiming to help identify the dominant side.
🔹 Total Liquidations
Total liquidations display the sum of long and short liquidations.
🔹 Cumulative Liquidations
Cumulative liquidations are essentially the cumulative sum of the difference between short and long liquidations aiming to confirm the trend and the strength of the trend.
🔶 DETAILS
It's important to note that liquidation data is not provided on the Trading View's platform or can not be fetched from anywhere else.
Yet we know that the liquidation data is closely tied in with trading volumes in the market and the movement in the underlying asset’s price. As a result, this script analyzes available data sources extracts the required information, and presents an educated estimate of the liquidation data.
The data presented does not reflect the actual individual quantitative value of the liquidation data, traders and analysts shall look to the changes over time and the correlation between liquidation data and price movements.
The script's output with the default option values has been visually checked/compared with the liquidation chart presented on coinglass.com.
🔶 SETTINGS
🔹Liquidations Input
Mode: defines the presentation of the liquidations chart. Details are given in the tooltip of the option.
Longs Reference Price: defines the base price in calculating long liquidations.
Shorts Reference Price: defines the base price in calculating short liquidations.
🔶 RELATED SCRIPTS
Liquidation-Levels
Liquidity-Sentiment-Profile
Buyside-Sellside-Liquidity
Machine Learning: VWAP [YinYangAlgorithms]Machine Learning: VWAP aims to use Machine Learning to Identify the best location to Anchor the VWAP at. Rather than using a traditional fixed length or simply adjusting based on a Date / Time; by applying Machine Learning we may hope to identify crucial areas which make sense to reset the VWAP and start anew. VWAP’s may act similar to a Bollinger Band in the sense that they help to identify both Overbought and Oversold Price locations based on previous movements and help to identify how far the price may move within the current Trend. However, unlike Bollinger Bands, VWAPs have the ability to parabolically get quite spaced out and also reset. For this reason, the price may never actually go from the Lower to the Upper and vice versa (when very spaced out; when the Upper and Lower zones are narrow, it may bounce between the two). The reason for this is due to how the anchor location is calculated and in this specific Indicator, how it changes anchors based on price movement calculated within Machine Learning.
This Indicator changes the anchor if the Low < Lowest Low of a length of X and likewise if the High > Highest High of a length of X. This logic is applied within a Machine Learning standpoint that likewise amplifies this Lookback Length by adding a Machine Learning Length to it and increasing the lookback length even further.
Due to how the anchor for this VWAP changes, you may notice that the Basis Line (Orange) may act as a Trend Identifier. When the Price is above the basis line, it may represent a bullish trend; and likewise it may represent a bearish trend when below it. You may also notice what may happen is when the trend occurs, it may push all the way to the Upper or Lower levels of this VWAP. It may then proceed to move horizontally until the VWAP expands more and it may gain more movement; or it may correct back to the Basis Line. If it corrects back to the basis line, what may happen is it either uses the Basis Line as a Support and continues in its current direction, or it will change the VWAP anchor and start anew.
Tutorial:
If we zoom in on the most recent VWAP we can see how it expands. Expansion may be caused by time but generally it may be caused by price movement and volume. Exponential Price movement causes the VWAP to expand, even if there are corrections to it. However, please note Volume adds a large weighted factor to the calculation; hence Volume Weighted Average Price (VWAP).
If you refer to the white circle in the example above; you’ll be able to see that the VWAP expanded even while the price was correcting to the Basis line. This happens due to exponential movement which holds high volume. If you look at the volume below the white circle, you’ll notice it was very large; however even though there was exponential price movement after the white circle, since the volume was low, the VWAP didn’t expand much more than it already had.
There may be times where both Volume and Price movement isn’t significant enough to cause much of an expansion. During this time it may be considered to be in a state of consolidation. While looking at this example, you may also notice the color switch from red to green to red. The color of the VWAP is related to the movement of the Basis line (Orange middle line). When the current basis is > the basis of the previous bar the color of the VWAP is green, and when the current basis is < the basis of the previous bar, the color of the VWAP is red. The color may help you gauge the current directional movement the price is facing within the VWAP.
You may have noticed there are signals within this Indicator. These signals are composed of Green and Red Triangles which represent potential Bullish and Bearish momentum changes. The Momentum changes happen when the Signal Type:
The High/Low or Close (You pick in settings)
Crosses one of the locations within the VWAP.
Bullish Momentum change signals occur when :
Signal Type crosses OVER the Basis
Signal Type crosses OVER the lower level
Bearish Momentum change signals occur when:
Signal Type crosses UNDER the Basis
Signal Type Crosses UNDER the upper level
These signals may represent locations where momentum may occur in the direction of these signals. For these reasons there are also alerts available to be set up for them.
If you refer to the two circles within the example above, you may see that when the close goes above the basis line, how it mat represents bullish momentum. Likewise if it corrects back to the basis and the basis acts as a support, it may continue its bullish momentum back to the upper levels again. However, if you refer to the red circle, you’ll see if the basis fails to act as a support, it may then start to correct all the way to the lower levels, or depending on how expanded the VWAP is, it may just reset its anchor due to such drastic movement.
You also have the ability to disable Machine Learning by setting ‘Machine Learning Type’ to ‘None’. If this is done, it will go off whether you have it set to:
Bullish
Bearish
Neutral
For the type of VWAP you want to see. In this example above we have it set to ‘Bullish’. Non Machine Learning VWAP are still calculated using the same logic of if low < lowest low over length of X and if high > highest high over length of X.
Non Machine Learning VWAP’s change much quicker but may also allow the price to correct from one side to the other without changing VWAP Anchor. They may be useful for breaking up a trend into smaller pieces after momentum may have changed.
Above is an example of how the Non Machine Learning VWAP looks like when in Bearish. As you can see based on if it is Bullish or Bearish is how it favors the trend to be and may likewise dictate when it changes the Anchor.
When set to neutral however, the Anchor may change quite quickly. This results in a still useful VWAP to help dictate possible zones that the price may move within, but they’re also much tighter zones that may not expand the same way.
We will conclude this Tutorial here, hopefully this gives you some insight as to why and how Machine Learning VWAPs may be useful; as well as how to use them.
Settings:
VWAP:
VWAP Type: Type of VWAP. You can favor specific direction changes or let it be Neutral where there is even weight to both. Please note, these do not apply to the Machine Learning VWAP.
Source: VWAP Source. By default VWAP usually uses HLC3; however OHLC4 may help by providing more data.
Lookback Length: The Length of this VWAP when it comes to seeing if the current High > Highest of this length; or if the current Low is < Lowest of this length.
Standard VWAP Multiplier: This multiplier is applied only to the Standard VWMA. This is when 'Machine Learning Type' is set to 'None'.
Machine Learning:
Use Rational Quadratics: Rationalizing our source may be beneficial for usage within ML calculations.
Signal Type: Bullish and Bearish Signals are when the price crosses over/under the basis, as well as the Upper and Lower levels. These may act as indicators to where price movement may occur.
Machine Learning Type: Are we using a Simple ML Average, KNN Mean Average, KNN Exponential Average or None?
KNN Distance Type: We need to check if distance is within the KNN Min/Max distance, which distance checks are we using.
Machine Learning Length: How far back is our Machine Learning going to keep data for.
k-Nearest Neighbour (KNN) Length: How many k-Nearest Neighbours will we account for?
Fast ML Data Length: What is our Fast ML Length? This is used with our Slow Length to create our KNN Distance.
Slow ML Data Length: What is our Slow ML Length? This is used with our Fast Length to create our KNN Distance.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
Voluminati: Uncovering Market SecretsVoluminati: Uncovering Market Secrets
Overview:
The Voluminati indicator dives deep into the secrets of trading volume, providing traders with unique insights into the market's strength and direction. This advanced tool visualizes the Relative Strength Index (RSI) of trading volume alongside the traditional RSI of price, presenting an enriched perspective on market dynamics.
Features:
Volume RSI: A unique twist on the traditional RSI, the Volume RSI measures the momentum of trading volume. This can help identify periods of increasing buying or selling pressure.
Traditional RSI: The renowned momentum oscillator that measures the speed and change of price movements. Useful for identifying overbought or oversold conditions.
Moving Averages: Both the Volume RSI and traditional RSI come with optional moving averages. These can be toggled on or off and are customizable in type (SMA or EMA) and length.
Overbought & Oversold Fills: Visual aids that highlight regions where the Volume RSI is in overbought (above 70) or oversold (below 30) territories. These fills help traders quickly identify potential reversal zones.
How to Use:
Look for divergence between the Volume RSI and price, which can indicate potential reversals.
When the Volume RSI moves above 70, it might indicate overbought conditions, and when it moves below 30, it might indicate oversold conditions.
The optional moving averages can be used to identify potential crossover signals or to smooth out the oscillators for a clearer trend view.
Customizations:
Toggle the display of the traditional RSI and its moving average.
Choose the type (SMA/EMA) and length for both the Volume RSI and traditional RSI moving averages.
Note: Like all indicators, the Voluminati is best used in conjunction with other tools and analysis techniques. Always use proper risk management.
Bull Vs Bear Visible Range VP [Kioseff Trading]Hello!
This Script “Bull vs Bear Visible Range VP” Calculates Bull & Bear Volume Profiles for the Visible Range Alongside a Delta Ladder for the Visible Period!
Features
Volume Profile Anchored to Visible Range
Delta Ladder Anchored to Visible Range
Bull vs Bear Profiles!
Standard Poc and Value Area Lines, in Addition to Separated POCs and Value Area Lines for Bull Profiles and Bear Profiles
Configurable Value Area Target
Curved Profiles
Up to 9999 Profile Rows per Visible Range
Stylistic Options for Profiles
This Script Generates Bull vs. Bear Volume Profiles for the Visible Range!
Up to 9999 Volume Profile Levels (Price Levels) Can Be Calculated for Each Profile, Thanks to the New Polyline Feature, Allowing For Less Aggregation / More Precision of Volume at Price and Volume Delta.
Bull vs Bear Profiles
The Image Above Shows Primary Functionality!
Green Profiles = Buying Volume
Red Profiles = Selling Volume
Bullish & Bearish Pocs for the Visible Range Are Displayable!
Profiles Can Be Anchored on the Left Side for a More Traditional Look.
The indicator is robust enough to calculate on "small price periods", or for a price period spanning your entire chart fully zoomed out!
That’s About It :D
This Indicator Is Part of a Series Titled “Bull vs. Bear” - A Suite of Profile-Like Indicators I Will Be Releasing Over Coming Days. Thanks for Checking This Out!
If You Have Any Suggestions Please Feel Free to Share!
Zig-Zag Open Interest Footprint [Kioseff Trading]Hello!
This script "Zig Zag Open Interest Footprint" calculates open interest x price values for zig zag trends!
Features
Open interest footprints anchored to zig zag trends
Summed OI x price level footprints
Total OI (for each category) for the entire trend shown
Standard POC lines, in addition to separated POC lines for each category of open interest x price possibility
Up to 9999 profile rows per zigzag trend
Stylistic options for profiles
Configurable zig zag - footprints generated for small to large trends
The zigzag indicator is configurable as normal; minor and major trend volume footprints are calculable. This indicator can be thought of as "Open Interest Footprint for Trends''.
Up to 9999 open interest levels (price levels) can be calculated for each profile, thanks to the new polyline feature, allowing for less aggregation / more precision of open interest at price.
Zig Zag OI Footprints
The image above shows primary functionality!
Green = Higher OI + Higher Price
Yellow = Lower OI + Higher Price
Purple = Higher OI + Lower Price
Red = Lower OI + Lower Price
Profiles are generated for each trend identified by the zigzag indicator.
The image above shows the indicator calculating open interest x price for specific price blocks on the footprint. Aggregate open interest for the identified trend is displayed over the profile!
Neon highlighted values correspond to the highest open interest change for the category. This is a configurable option :D
The image above shows POC lines for each category of open interest x price!
Additionally, you can select to show a single POV for footprint - the single level the greatest amount of OI change occurred.
The indicator is robust enough to calculate on "long zig zags" and "short zig zags"; curved profiles can also be used!
The image above shows key levels, each OI footprint, and summed OI values for the current trend!
That's about it :D
This indicator is part of a series titled "Bull vs. Bear" - a suite of profile-like indicators I will be releasing over the coming days. Thanks for checking this out!
If you have any suggestions please feel free to share!
Asiri Colored CandleNote: To use this code, you must choose Hollow candle
This code color the candle based the relationship current volume to previous volume, according these features:
1- White candle when the current volume greater than the previous one, and all of them greater than moving average for 20 periods of volume
2- Green candle color when the current volume greater than the previous one, and all of them lower than moving average for 20 periods of volume
3- Blue candle it means (Bullish Candle) purchasing candles, with change 3% or higher
4- Yellow candle it means (Bearish Candle) with change 3% or higher
5- The number upper the candle means how much does the volume represent relative to the volume moving average
6- The number lower candle means value of MFI indicator value
كود برمجي يقوم بإعطاء لون للشموع بناء على الحجم
لطي تتمكن من استخدام هذا الكود يجب أن يكون نمط الشموع الذي على الشارت شموع مفرغة
من خصائصه التالي
1- إذا الحجم السفلي الحالي أكبر من الحجم السابق وكلاهما فوق متوسط 20 للحجم والسعر الحالي ارتفع عن السعر السابق يقوم بتلوين الشمعة بيضاء
2- إذا الحجم السفلي الحالي أكبر من الحجم السابق وكلاهما أسفل متوسط 20 للحجم والسعر الحالي ارتفع عن السعر السابق يقوم بتلوين الشمعة خضراء
3- إذا الحجم الحالي أقل من السابق ولكن تكونت شمعة شرائية ارتفعت الشمعة بـ 3% أو تغيرها كان 3% فأعلى يكون لونها أزرق
4- إذا تكونت شمعة بيعية انخفاضها أو تغيرها كان 3% بأعلى يكون لونها أصفر
5- الأرقام أعلى الشموع تبين كم أن الحجم المقابل للشمعة ضعف الحجم لمتوسط حجم 20 فترة سابقة للحجم يعني إذا كان أعلى الشمعة 3 فهذا يعني أن الحجم لهذه الشمعة ارتفع بـ 3 أضعاف متوسط 20 فترة سابقة للحجم ، كما أن هذا الرقم يظهر أعلى شمعة الدوجي التي إغلاقها مساوي لافتتاحها
6- الرقم أسفل الشمعة يبين قيمة مؤشر التدفق النقدي MFI
أخيرا تستطيع التعديل على الكود حسب ما تراه و إخفاء الأرقام أعلى أو أسفل الشموع
لا تنسوني من دعائكم
Zig-Zag Volume Profile (Bull vs. Bear) [Kioseff Trading]Hello!
Thank you @Pinecoders and @TradingView for putting polylines in production and making this viable!!
This script "Zig Zag Volume Profile" implements the polyline feature for Pine Script!
Features
Volume Profile anchored to zig zag trends
Bull vs Bear profiles!
Delta x price level
Standard POC and value area lines, in addition to separated POCs and value area lines for bull profiles and bear profiles
Up to 9999 profile rows per zigzag trend
Stylistic options for profiles
Configurable zig zag - profiles generated for small to large trends
Polylines!
This script generates Bull vs. Bear volume profiles for zig zag trends!
The zigzag indicator is configurable as normal; minor and major trend volume profiles are calculable. This indicator can be thought of as "Volume Profile/Delta for Trends''.
Up to 9999 volume profile levels (price levels) can be calculated for each profile, thanks to the new polyline feature, allowing for less aggregation / more precision of volume at price and volume delta.
Zig Zag Bull Vs Bear Profiles
The image above shows primary functionality!
Green profiles = buying volume
Red profiles = selling volume
Profiles are generated for each trend identified by the zigzag indicator.
The image above shows the indicator calculating volume delta for specific price blocks on the profile. Aggregate volume delta for the identified trend is displayed over the profile!
The image above shows Bull Profile POC lines and value area lines. Bear Profile POC lines and value area lines are also shown!
All colors and transparencies are configurable to the user's liking :D
Additionally, you can select to have the profiles drawn on contrasting sides. Bull Profile on left and Bear Profile on right.
For a more traditional look - you can select to draw the Bull & Bear profiles on the same x-point.
The indicator is robust enough to calculate on "long zig zags" and "short zig zags"; curved profiles can also be used!
The image above exemplifies usage of the indicator!
Bull & Bear volume profiles are calculated for trends on the 30-second timeframe.
The image above shows a more "utilitarian" presentation of the profiles. Once more, line and linefill colors/transparencies are all customizable; the indicator can look however you would like it to!
The image above shows key levels, the Bull vs. Bear profile, and volume delta for the current trend!
That's about it :D
This indicator is part of a series titled "Bull vs. Bear" - a suite of profile-like indicators I will be releasing over coming days. Thanks for checking this out!
Of course, a big thank you to @RicardoSantos for his MathOperator library that I use in every script.
If you have any suggestions please feel free to share!
Volume Profile with a few polylinesThe base of "Volume Profile with a few polylines" is another script of mine, Volume Profile (Maps) .
The structure of maps is used to gather the data. However, the drawings is done with polylines.
This enables coders to draw an entire volume profile with just a few polylines, while the range is broader.
This results in the benefit to draw more "lines" than with line.new() / box.new() alone.
🔶 CONCEPTS
🔹 Polylines
polyline.new creates a new polyline instance and displays it on the chart, sequentially connecting all of the points in the `points` array with line segments.
The segments in the drawing can be straight or curved depending on the `curved` parameter.
In this script, points are connected, starting from the bottom. The created line moves up until there is a price level where a volume value needs to be displayed,
at which the line goes to the left to the concerning volume value, coming back at the same price level until the line returns to its initial x-axis,
after which the line will continue to rise until all values are displayed.
A polyline can contain maximum 10000 points (10K).
Since the line has to go back and forth, each price/volume line takes 3 points.
In the case that 20K bars all have a different price, we would need 60K points, or just 6 polylines. A maximum of 100 polylines can be displayed.
The 3 highest volume values are displayed with line.new(), each with their own colour.
🔹 Maps
A map object is a collection that consists of key - value pairs
Each key is unique and can only appear once. When adding a new value with a key that the map already contains, that value replaces the old value associated with the key .
You can change the value of a particular key though, for example adding volume (value) at the same price (key), the latter technique is used in this script.
Volume is added to the map, associated with a particular price (default close, can be set at high, low, open,...)
When the map already contains the same price (key), the value (volume) is added to the existing volume at the associated price.
A map can contain maximum 50K values, which is more than enough to hold 20K bars (Basic 5K - Premium plan 20K), so the whole history can be put into a map.
🔹 Rounding function
This publication contains 2 round functions, which can be used to widen the Volume Profile
Round
• "Round" set at zero -> nothing changes to the source number
• "Round" set below zero -> x digit(s) after the decimal point, starting from the right side, and rounded.
• "Round" set above zero -> x digit(s) before the decimal point, starting from the right side, and rounded.
Example: 123456.789
0->123456.789
1->123456.79
2->123456.8
3->123457
-1->123460
-2->123500
Step
Another option is custom steps.
After setting "Round" to "Step", choose the desired steps in price,
Examples
• 2 -> 1234.00, 1236.00, 1238.00, 1240.00
• 5 -> 1230.00, 1235.00, 1240.00, 1245.00
• 100 -> 1200.00, 1300.00, 1400.00, 1500.00
• 0.05 -> 1234.00, 1234.05, 1234.10, 1234.15
•••
🔶 FEATURES
🔹 Volume * currency
Let's take as example BTCUSD, relative to USD, 10 volume at a price of 100 BTCUSD will be very different than 10 volume at a price of 30000 (1K vs. 300K)
If you want volume to be associated with USD, enable Volume * currency . Volume will then be multiplied by the price:
• 10 volume, 1 BTC = 100 -> 1000
• 10 volume, 1 BTC = 30K -> 300K
Polylines has the attributes curved & closed.
When "curved" is enabled the drawing will connect all points from the `points` array using curved line segments.
When "closed" is enabled the drawing will also connect the first point to the last point from the `points` array, resulting in a closed polyline.
They are default disabled, but can be enabled:
🔶 DETAILS
🔹 Put
When the map doesn't contain a price, it will be added, using map.put(id, key, value)
In our code:
map.put(originalMap, price, volume)
or
originalMap.put(price, volume)
A key (price) is now associated with a value (volume) -> key : value
Since all keys are unique, we don't have to know its position to extract the value, we just need to know the key -> map.get(id, key)
We use map.get() when a certain key already exists in the map, and we want to add volume with that value.
if originalMap.contains(price)
originalMap.put(price, originalMap.get(price) + volume)
-> At the last bar, all prices (source) are now associated with volume.
🔶 SETTINGS
Source : Set source of choice; default close , can be set as high , low , open , ...
Volume & currency : Enable to multiply volume with price (see Features )
Amount of bars : Set amount of bars which you want to include in the Volume Profile
🔹 Round -> ' Round/Step '
Round -> see Concepts
Step -> see Concepts
🔹 Display Volume Profile
Offset: shifts the Volume Profile (max. 500 bars to the right of last bar, see Features )
Max width Volume Profile: largest volume will be x bars wide, the rest is displayed as a ratio against largest volume (see Features )
Colours
Curved: make lines curved
Closed: connect last with first point
🔶 LIMITATIONS
• Lines won't go further than first bar (coded).
• The Volume Profile can be placed maximum 500 bar to the right of last price.
Watchlist Heatmap PlusIntroducing 'Watchlist Heatmap Plus,' an advanced indicator designed to supercharge your trading experience. With this tool, you can easily track up to 40 symbols in your watchlist and gain valuable insights into their performance. Here's what it does:
1. Data Visualization: Watchlist Heatmap Plus displays essential data for each symbol, including open, high, low, close, close percent, volume, and volume percent.
2. Dynamic Color Coding: The indicator leverages a dynamic color-coding system to make data interpretation a breeze. By default, red indicates a decrease or a lower value compared to the immediate previous candle, while green represents an increase or a higher value. This color scheme is consistently applied to open, high, low, close, and volume data, making it easy to spot trends at a glance. Close percent and volume percent are color-coded according to their actual values.
3. Customization Options: Users have the power to customize the displayed data to align with their trading strategy. They can choose from several data display options:
- Regular: Display the original data as is.
- Change: Show the difference between the current value and the previous candle.
- Change Percent: Display the percentage change between the current and previous values.
- Equal To, Less Than, Less Than or Equal To, Greater Than, Greater Than or Equal To: Perform comparison operations between the current and previous value, producing a boolean output.
4. Consistent Color Coding: Regardless of the data display option chosen, the color-coding functionality remains the same, based on the percentage change, allowing traders to quickly assess the health of each symbol.
Performance Considerations:
Please be aware that due to the complexity of this indicator and the substantial volume of data requests it handles, users may experience occasional data lag and performance slowdown, particularly when applied to certain timeframes. In some cases, there may be a risk of memory exhaustion, especially on smaller timeframes.
To optimize your experience and ensure smooth functionality, I recommend using this indicator on higher timeframes where data processing is less resource-intensive. Additionally, when using the indicator with the chart's replay feature, be cautious as it may encounter memory limits, affecting its performance.
Intraday Volume Rating [Honestcowboy]The Intraday Volume Rating aims to provide a clearer picture of what volume is telling you on intraday charts.
What is different to other forms of volume analysis
While Volume averages and other measures of volume base their calculations on the previous bars on the chart (for example bars 1954 to 1968). The average volume in this indicator measures expected volume during that time of the day.
🔷 Why would you take this approach?
Markets behave different during certain times of the day, also called sessions.
Here are a couple examples.
Asian Session (generally low volatility)
London Session (bigger volatility starts)
New York Session (overlap of New York with London creates huge volatility)
Generally when using other types of volume averaging it does not take into account these sessions and that the market has a pattern for volume in an intraday chart.
🔷 CALCULATION
Think of this script like an average of volume but instead it uses past days data instead of previous bars data.
This is a chart explaining the indicator this script is based on The same principle applies but instead we measure volume at each bar of the day.
The script also counts the number of bars that exist in a day on your current timeframe chart. After knowing that number it creates the matrix used in it's calculations and data storage.
See how it works perfectly on a lower timeframe chart below:
Getting this right was the hardest part, check the coding if you are interested in this type of stuff. I commented every step in the coding process.
Every setting of the script is commented so no need for further explanation, enjoy!
VWAP (Any Anchor)Hello Traders,
Introduction:
The Volume Weighted Average Price (VWAP) is a powerful trading indicator used to gauge the average price at which an asset has traded, weighted by volume, over a specific period.
One of the key factors that can significantly impact the effectiveness of VWAP is the concept of "anchoring." In this TradingView indicator script description, we'll explore the concept of anchoring and how it's integrated into a customizable VWAP indicator.
Understanding Anchoring:
Anchoring in VWAP refers to selecting a specific point in time from which the VWAP calculation begins.
This "anchor point" serves as the starting reference for VWAP, and it can substantially impact the indicator's behavior and interpretation.
Anchoring allows traders to adapt VWAP to different trading strategies and scenarios.
Here are some common anchor points used in the script and their significance:
1. Time-Based Anchors: Traders often anchor VWAP to specific times of the trading day, such as the market open (e.g., 9:30 am EST) or close (e.g., 4:00 pm EST).
You could add in the script any time-based anchor you think is relevant for your trading.
2. Event-Based Anchors: Anchoring can also be based on specific market events.
For example, some traders anchor VWAP to events like "3 Consecutive Green Candles" or "Supertrend" direction changes.
Feel free to adapt the script here and add the relevant events-based anchor for your trading.
3. Multi-Timeframe Anchoring: Traders can anchor VWAP on different timeframes, allowing them to analyze price and volume interactions across various horizons.
This flexibility is especially valuable for swing traders adapting to longer-term trends.
Anchor Selection
Traders can choose from various anchor points, including time-based, event-based, and even an "External Connector" for flexibility in adapting VWAP to specific scenarios.
The External connector is the output from another script used in this VWAP script.
Your script may have a condition being “true” whenever a signal is printed - you can use this signal as the anchor for the VWAP.
Conclusion:
Understanding anchoring in VWAP is essential for traders using this indicator effectively.
Choosing and customizing anchor points empowers traders to adapt VWAP to their specific trading styles and strategies.
Whether focused on intraday precision or analyzing longer-term trends, a customizable VWAP indicator with flexible anchoring options can be valuable to your trading toolkit.
Tailor your VWAP to your unique needs and gain deeper insights into market trends and price action.
Made with love
Dave
Volume and Price Z-Score [Multi-Asset] - By LeviathanThis script offers in-depth Z-Score analytics on price and volume for 200 symbols. Utilizing visualizations such as scatter plots, histograms, and heatmaps, it enables traders to uncover potential trade opportunities, discern market dynamics, pinpoint outliers, delve into the relationship between price and volume, and much more.
A Z-Score is a statistical measurement indicating the number of standard deviations a data point deviates from the dataset's mean. Essentially, it provides insight into a value's relative position within a group of values (mean).
- A Z-Score of zero means the data point is exactly at the mean.
- A positive Z-Score indicates the data point is above the mean.
- A negative Z-Score indicates the data point is below the mean.
For instance, a Z-Score of 1 indicates that the data point is 1 standard deviation above the mean, while a Z-Score of -1 indicates that the data point is 1 standard deviation below the mean. In simple terms, the more extreme the Z-Score of a data point, the more “unusual” it is within a larger context.
If data is normally distributed, the following properties can be observed:
- About 68% of the data will lie within ±1 standard deviation (z-score between -1 and 1).
- About 95% will lie within ±2 standard deviations (z-score between -2 and 2).
- About 99.7% will lie within ±3 standard deviations (z-score between -3 and 3).
Datasets like price and volume (in this context) are most often not normally distributed. While the interpretation in terms of percentage of data lying within certain ranges of z-scores (like the ones mentioned above) won't hold, the z-score can still be a useful measure of how "unusual" a data point is relative to the mean.
The aim of this indicator is to offer a unique way of screening the market for trading opportunities by conveniently visualizing where current volume and price activity stands in relation to the average. It also offers features to observe the convergent/divergent relationships between asset’s price movement and volume, observe a single symbol’s activity compared to the wider market activity and much more.
Here is an overview of a few important settings.
Z-SCORE TYPE
◽️ Z-Score Type: Current Z-Score
Calculates the z-score by comparing current bar’s price and volume data to the mean (moving average with any custom length, default is 20 bars). This indicates how much the current bar’s price and volume data deviates from the average over the specified period. A positive z-score suggests that the current bar's price or volume is above the mean of the last 20 bars (or the custom length set by the user), while a negative z-score means it's below that mean.
Example: Consider an asset whose current price and volume both show deviations from their 20-bar averages. If the price's Z-Score is +1.5 and the volume's Z-Score is +2.0, it means the asset's price is 1.5 standard deviations above its average, and its trading volume is 2 standard deviations above its average. This might suggest a significant upward move with strong trading activity.
◽️ Z-Score Type: Average Z-Score
Calculates the custom-length average of symbol's z-score. Think of it as a smoothed version of the Current Z-Score. Instead of just looking at the z-score calculated on the latest bar, it considers the average behavior over the last few bars. By doing this, it helps reduce sudden jumps and gives a clearer, steadier view of the market.
Example: Instead of a single bar, imagine the average price and volume of an asset over the last 5 bars. If the price's 5-bar average Z-Score is +1.0 and the volume's is +1.5, it tells us that, over these recent bars, both the price and volume have been consistently above their longer-term averages, indicating sustained increase.
◽️ Z-Score Type: Relative Z-Score
Calculates a relative z-score by comparing symbol’s current bar z-score to the mean (average z-score of all symbols in the group). This is essentially a z-score of a z-score, and it helps in understanding how a particular symbol's activity stands out not just in its own historical context, but also in relation to the broader set of symbols being analyzed. In other words, while the primary z-score tells you how unusual a bar's activity is for that specific symbol, the relative z-score informs you how that "unusualness" ranks when compared to the entire group's deviations. This can be particularly useful in identifying symbols that are outliers even among outliers, indicating exceptionally unique behaviors or opportunities.
Example: If one asset's price Z-Score is +2.5 and volume Z-Score is +3.0, but the group's average Z-Scores are +0.5 for price and +1.0 for volume, this asset’s Relative Z-Score would be high and therefore stand out. This means that asset's price and volume activities are notably high, not just by its own standards, but also when compared to other symbols in the group.
DISPLAY TYPE
◽️ Display Type: Scatter Plot
The Scatter Plot is a visual tool designed to represent values for two variables, in this case the Z-Scores of price and volume for multiple symbols. Each symbol has it's own dot with x and y coordinates:
X-Axis: Represents the Z-Score of price. A symbol further to the right indicates a higher positive deviation in its price from its average, while a symbol to the left indicates a negative deviation.
Y-Axis: Represents the Z-Score of volume. A symbol positioned higher up on the plot suggests a higher positive deviation in its trading volume from its average, while one lower down indicates a negative deviation.
Here are some guideline insights of plot positioning:
- Top-Right Quadrant (High Volume-High Price): Symbols in this quadrant indicate a scenario where both the trading volume and price are higher than their respective mean.
- Top-Left Quadrant (High Volume-Low Price): Symbols here reflect high trading volumes but prices lower than the mean.
- Bottom-Left Quadrant (Low Volume-Low Price): Assets in this quadrant have both low trading volume and price compared to their mean.
- Bottom-Right Quadrant (Low Volume-High Price): Symbols positioned here have prices that are higher than their mean, but the trading volume is low compared to the mean.
The plot also integrates a set of concentric squares which serve as visual guides:
- 1st Square (1SD): Encapsulates symbols that have Z-Scores within ±1 standard deviation for both price and volume. Symbols within this square are typically considered to be displaying normal behavior or within expected range.
- 2nd Square (2SD): Encapsulates those with Z-Scores within ±2 standard deviations. Symbols within this boundary, but outside the 1 SD square, indicate a moderate deviation from the norm.
- 3rd Square (3SD): Represents symbols with Z-Scores within ±3 standard deviations. Any symbol outside this square is deemed to be a significant outlier, exhibiting extreme behavior in terms of either its price, its volume, or both.
By assessing the position of symbols relative to these squares, traders can swiftly identify which assets are behaving typically and which are showing unusual activity. This visualization simplifies the process of spotting potential outliers or unique trading opportunities within the market. The farther a symbol is from the center, the more it deviates from its typical behavior.
◽️ Display Type: Columns
In this visualization, z-scores are represented using columns, where each symbol is presented horizontally. Each symbol has two distinct nodes:
- Left Node: Represents the z-score of volume.
- Right Node: Represents the z-score of price.
The height of these nodes can vary along the y-axis between -4 and 4, based on the z-score value:
- Large Positive Columns: Signify a high or positive z-score, indicating that the price or volume is significantly above its average.
- Large Negative Columns: Represent a low or negative z-score, suggesting that the price or volume is considerably below its average.
- Short Columns Near 0: Indicate that the price or volume is close to its mean, showcasing minimal deviation.
This columnar representation provides a clear, intuitive view of how each symbol's price and volume deviate from their respective averages.
◽️ Display Type: Circles
In this visualization style, z-scores are depicted using circles. Each symbol is horizontally aligned and represented by:
- Solid Circle: Represents the z-score of price.
- Transparent Circle: Represents the z-score of volume.
The vertical position of these circles on the y-axis ranges between -4 and 4, reflecting the z-score value:
- Circles Near the Top: Indicate a high or positive z-score, suggesting the price or volume is well above its average.
- Circles Near the Bottom: Represent a low or negative z-score, pointing to the price or volume being notably below its average.
- Circles Around the Midline (0): Highlight that the price or volume is close to its mean, with minimal deviation.
◽️ Display Type: Delta Columns
There's also an option to utilize Z-Score Delta Columns. For each symbol, a single column is presented, depicting the difference between the z-score of price and the z-score of volume.
The z-score delta essentially captures the disparity between how much the price and volume deviate from their respective mean:
- Positive Delta: Indicates that the z-score of price is greater than the z-score of volume. This suggests that the price has deviated more from its average than the volume has from its own average. Such a scenario could point to price movements being more significant or pronounced compared to the changes in volume.
- Negative Delta: Represents that the z-score of volume is higher than the z-score of price. This might mean that there are substantial volume changes, yet the price hasn't moved as dramatically. This can be indicative of potential build-up in trading interest without an equivalent impact on price.
- Delta Close to 0: Means that the z-scores for price and volume are almost equal, indicating their deviations from the average are in sync.
◽️ Display Type: Z-Volume/Z-Price Heatmap
This visualization offers a heatmap either for volume z-scores or price z-scores across all symbols. Here's how it's presented:
Each symbol is allocated its own horizontal row. Within this row, bar-by-bar data is displayed using a color gradient to represent the z-score values. The heatmap employs a user-defined gradient scale, where a chosen "cold" color represents low z-scores and a chosen "hot" color signifies high z-scores. As the z-score increases or decreases, the colors transition smoothly along this gradient, providing an intuitive visual indication of the z-score's magnitude.
- Cold Colors: Indicate values significantly below the mean (negative z-score)
- Mild Colors: Represent values close to the mean, suggesting minimal deviation.
- Hot Colors: Indicate values significantly above the mean (positive z-score)
This heatmap format provides a rapid, visually impactful means to discern how each symbol's price or volume is behaving relative to its average. The color-coded rows allow you to quickly spot outliers.
VOLUME TYPE
The "Volume Type" input allows you to choose the nature of volume data that will be factored into the volume z-score calculation. The interpretation of indicator’s data changes based on this input. You can opt between:
- Volume (Regular Volume): This is the classic measure of trading volume, which represents the volume traded in a given time period - bar.
- OBV (On-Balance Volume): OBV is a momentum indicator that accumulates volume on up bars and subtracts it on down bars, making it a cumulative indicator that sort of measures buying and selling pressure.
Interpretation Implications:
- For Volume Type: Regular Volume:
Positive Z-Score: Indicates that the trading volume is above its average, meaning there's unusually high trading activity .
Negative Z-Score: Suggests that the trading volume is below its average, signifying unusually low trading activity.
- For Volume Type: OBV:
Positive Z-Score: Signifies that “buying pressure” is above its average.
Negative Z-Score: Signifies that “selling pressure” is above its average.
When comparing Z-Score of OBV to Z-Score of price, we can observe several scenarios. If Z-Price and Z-Volume are convergent (have similar z-scores), we can say that the directional price movement is supported by volume. If Z-Price and Z-Volume are divergent (have very different z-scores or one of them being zero), it suggests a potential misalignment between price movement and volume support, which might hint at possible reversals or weakness.
Liquidation Levels [LuxAlgo]The Liquidation Levels indicator aims at detecting and estimating potential price levels where large liquidation events may occur.
By analyzing liquidation Levels, traders can identify potential support & resistance levels, identify stop-loss levels, and gauge market sentiment and potential areas of price volatility.
🔶 USAGE
Liquidation refers to the process of forcibly closing a trader's leveraged positions in the market. It occurs when a trader's margin account can no longer support their open positions due to significant losses or a lack of sufficient margin to meet the maintenance margin requirements.
Liquidation events happen at all times and the script focuses on detecting the most significant ones. Bubbles will appear on the relevant price bar when larger trading activity has been detected. Larger bubbles represent more significant potential liquidation levels. The lines attached to the bubbles represent the liquidation zones at that price.
These liquidation levels are based on clusters of price points where highly leveraged traders open long or short positions. High leverage is identified as 100x, 50x, and 25x leverages used for both long and short positions. The script allows users to either remove or customize leverage levels.
Price generally heads towards zones or clusters of liquidity.
🔶 SETTINGS
🔹Liquidation Levels
Reference Price: defines the base price in calculating liquidation levels.
Volume Threshold: The volume threshold is the primary factor in detecting the significant trading activities that could potentially lead to liquidating leveraged positions.
Volatility Threshold: The volatility threshold option is the secondary factor that aims at detecting significant movement in the underlying asset’s price with relatively lower trading activities that could potentially also lead to liquidating high-leveraged positions.
Leverage Options: The leverage options are where the trader will set the desired leverage value and customize the potential liquidation level colors.
Hide Liquidation Bubbles: Toggles the visibility of the bubbles.
Hide Liquidation Levels: Toggles the visibility of the lines.
🔶 RELATED SCRIPTS
Liquidity-Sentiment-Profile
Buyside-Sellside-Liquidity
OI Volume Oscillator Cross DynamicsThe OI Volume Oscillator Cross Dynamics is a custom indicator designed to analyze the relationship between Open Interest (OI) and Volume Oscillator in the cryptocurrency markets. This tool aims to assist traders in identifying potential market sentiment shifts, enabling them to make informed trading decisions based on the dynamic interplay of these key market components.
Key Components:
Open Interest (OI): This component represents the total number of outstanding derivative contracts, such as futures and options, that have not been settled. Open Interest provides insights into market participation and trader commitment, offering a broader perspective on the flow of money into the market.
Volume Oscillator: The Volume Oscillator is a momentum indicator that showcases the difference between two volume moving averages. It is instrumental in identifying bullish or bearish market trends by providing insights into buying and selling pressure in the market.
Functional Dynamics:
Crossover Analysis: The indicator identifies points where the Volume Oscillator crosses above or below the Open Interest, marking potential shifts in market sentiment. These crossover points are visually represented, making them easily identifiable for analysis.
Visual Cues: The indicator uses visual shapes and colors to enhance interpretability. Bullish crossovers are marked with green upward triangles, while bearish crossovers are represented by red downward triangles.
Customization: The indicator allows for customization of the Volume Oscillator’s sensitivity through a multiplier, enabling traders to adjust the indicator according to their trading strategy and market outlook.
Usage Guidelines:
Bullish Scenario: A crossover of the Volume Oscillator above the Open Interest is interpreted as a bullish signal, indicating potential upward price movement due to increased buying pressure or trading activity.
Bearish Scenario: A crossover of the Volume Oscillator below the Open Interest is seen as a bearish signal, suggesting potential downward price movement due to increased selling pressure or reduced trading activity.
Conclusion:
The OI Volume Oscillator Cross Dynamics indicator is designed to provide traders with a nuanced perspective of market activity through the combined analysis of Open Interest and Volume Oscillator. Its design aims to offer valuable insights, allowing for a strategic approach to trading based on the observed market dynamics.
The code is open source and utilizes Binance info but you can alter the code to meet your needs to go beyond just Bitcoin if needed.
VWAP Balance ZonesVWAP Balance Zones (VBZ) Is based on 3 concepts.
Many Traders use VWAP to help determine Price Trends.
Trends are typically identified by new Highs or new Lows.
Balanced is found when Supply and Demand are mostly Equal.
VBZ tracks the daily, weekly, and monthly highs and lows; Then plots the average (50%) between the VWAP and the respective extremes.
50% VWAP Zones can be considered significant since they attempt to identify the equilibrium between market participants within the current trend, serving as key reference points to consider for decision making. >While in an uptrend, Buyers may see price falling to the Hi 50% as an attractive value entry for the continuation upwards.
>While ALSO in an uptrend, Sellers may see price falling to the Hi 50% as a change in sentiment with more downwards movement on the way.
Because of these conflicting mindsets, these zones are thought to display areas of balance between buyers and sellers, which can serve as potential decision points throughout the day.
VBZ Draws Zones from the Daily (High/Low/Close) VWAPs and the Day's (High/Low/Close) extremes as seen below.
Technically speaking, an average between vwap and extreme is a single point, to make these into zones I am using multiple sources for vwap and tracking different points of the bar throughout the day (ex. Close VWAP & Daily Highest Close)
Weekly and Monthly are only displaying the Average Price between the VWAP and the (Weekly or Monthly) High/Low.
These hold up as important levels for speculation; however, since most action will be discovered at the daily zones, I am not displaying the zones for the Weekly and Monthly to keep noise to a minimum.
Unique Behaviors:
- Weekly values are hidden on the first day of the week since they are similar to the daily values on the first day of the week.
- Monthly values are hidden in the first week of the month for the same reason.
NormInvTargetSeekerNormInvTargetSeeker
The NormInvTargetSeeker is a trading tool designed to aid traders in identifying and capitalizing on Distribution and Accumulation zones, highlighting specific price levels that could serve as targets for future price movements. Although the indicator itself is not multi-timeframe, an effective trading strategy might involve signal validation across multiple timeframes.
🔶 USAGE
The indicator identifies Distribution and Accumulation zones, providing potential targets for future price moves.
Traders are encouraged to use these zones as profit targets or potential reversal points.
Confluence Zones
These zones are identified as regions where various factors or levels converge, signaling an increased probability of price reaction.
They can be used to reinforce signals or identify levels where price might encounter significant resistance or support.
🔹 Trading Strategy
First, identify a signal on your primary trading timeframe.
Manually check higher timeframes to ensure the signal aligns with them.
Use the identified zones, whether Distribution or Accumulation, as target zones for your trades.
🔶 Order Blocks
The NormInvTargetSeeker identifies "Order Blocks" by examining a specified number of consecutive candles with a specific condition: the current candle must completely engulf the previous candle. This means that both the high and low of the current candle are higher and lower, respectively, than the high and low of the previous candle, signifying a dominant move in the direction of the current candle.
🔹 Trading Strategy
Target Confirmation: Order Blocks can serve to confirm target points, providing additional validation for identified levels.
Market Insight: They offer crucial insights into whether "big hands" or institutional players are positioned as buyers or sellers in the market.
Traders can use Order Blocks as a means to validate targets or key price levels, observing if the price reacts significantly upon reaching these blocks.
They can also provide insights into the general market direction or underlying market strength by identifying where the major market players are placing their orders.
🔶 SETTINGS
The indicator allows users to adjust various parameters to customize the display and logic of the tool to fit their needs.
🔹 Display Settings
Users can customize the colors and displays of various zones and labels to match their preferences.
🔶 LICENSE AND CREDITS
This work is licensed under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). More information here: creativecommons.org
This indicator utilizes a TypeScript implementation of the Normal Inverse function as a reference, which can be found here : github.com
Special thanks to the authors of the referenced code for providing a foundation upon which this indicator was built.
🔶 UPDATES
Current Version: 1.0.0
For future updates, please check the comment section.
🔶 CONTACT
For any questions or suggestions, please feel free to contact @RickSimpson on TradingView.
Moving Average of Volume for Up and Down ClosesThis indicator is intended to provide market bias information at a glance. Depending on the number of periods selected it can help identify changes in buying and selling sentiment or overall market bias. The two lines indicate increases and decreases in volumes for the selected number of periods. I recommend using this indicator with a minimum of clear support and resistance lines and a standard volume indicator. It does provided useful information as a stand-alone indicator. I don't use any indicators except volume, so this was meant to be my own personal volume analysis tool, however I feel that it can be very useful for other traders who may not have a deep understanding of volume analysis.
YD_Divergence_RSI+CMFThe ‘YD_Divergence_RSI+CMF’ indicator can find divergence using RSI (Relative Strength Index) and CMF (Chaikin Money Flow) indicators.
📌 Key functions
1. Search pivot high and pivot low points in a certain length of price.
2. Connect pivot high to pivot high , pivot low to pivot low , forming two standards for divergence in result.
The marker then plots only the higher high, lower low lines.
(higher low and lower high in prices are referred to hidden divergence, which are not considered in this indicator)
3. Compare the two standards with RSI and CMF indicators, send an alert if there is a divergence. As a result, the indicator will find four combination of divergence.
A. Higher high price / Lower RSI (Bearish RSI Divergence)
B. Lower low price / Higher RSI (Bullish RSI Divergence)
C. Higher high price / Lower CMF (Bearish CMF Divergence)
D. Lower low price / Higher CMF (Bullish CMF Divergence)
📌 Details
Developing the indicators, we put a lot of effort in making a customizable and user-friendly interface.
#1. Pivot Setting
Users can set the length to find the pivot high / pivot low in ‘Pivot Settings – Pivot Length.’
Increased pivot Length takes more candles to interpret the chart but reduce false signals since the it uses only the most certain pivot high / pivot low values. Obviously, decreased pivot length will act the opposite.
Users can choose whether to use ‘High/Low’ or ‘Close’ in ‘Pivot Reference’ to set the swing point of prices.
Users can also choose whether to display the pivot high / pivot low marker on the chart.
#2 RSI & CMF Settings
Users can adjust the length of RSI & CMF separately. (The default values are set to 14 and 20 each.)
#3 Label Setting
Users can adjust the text displayed on the chart label. (The default values is set to ‘Bullish / Bearish’, ‘RSI/CMF’, ‘Divergence’.)
Users can reduce the length of text label or simply turn the label off. Just click the ‘Bull/Bear’ or ‘None’ button. ‘Divergence’ works the same.
Users can decide whether to display the ‘Divergence Line and Label’, set custom settings for the label and line. (color, thickness, style, etc)
📌 Alert
Alert are provided as a combination of the chart's symbol and the set label text. For example,
‘BINANCE:BTCUSDT.P, Bullish RSI Divergence’
====================================================
"YD_Divergence_RSI+CMF" 지표 는 RSI와 CMF 지표를 이용해서 Divergence 를 찾아낼 수 있습니다.
📌 주요 기능
1. 정해진 가격 움직임 안에서 pivot high와 pivot low 포인트 를 찾아냅니다.
2. Pivot high로만 이어진 라인과, Pivot low로만 이어진 두 라인을 작도한 뒤 divergence의 기준으로 삼습니다.
이 지표에서는 normal divergence만 사용하기 때문에 차트에 higher high와 lower low만 표기 합니다.
(higher low와 lower high는 hidden divergence로 정의되며, 이 지표에서는 다루지 않습니다.
3. 두 기준선과 RSI, CMF 지표를 각각 비교하고, 결과적으로 4개의 조합을 구할 수 있습니다.
A. Higher high price / Lower RSI (Bearish RSI Divergence)
B. Lower low price / Higher RSI (Bullish RSI Divergence)
C. Higher high price / Lower CMF (Bearish CMF Divergence)
D. Lower low price / Higher CMF (Bullish CMF Divergence)
📌 세부 사항
지표를 개발하며 사용자들이 원하는 방향으로 지표를 설정할 수 있게 작업에 많은 공을 들였습니다. 굉장히 다양한 옵션을 선택할 수 있으며, 원하는 방식으로 지표를 사용할 수 있습니다.
#1 Pivot Setting
Pivot setting에서는 Pivot Length를 변경할 수 있습니다.
Pivot Length를 늘릴 경우, 보다 확실한 Swing High와 Swing Low만을 사용하게 되므로, False signal이 줄어들 수 있습니다. 하지만 Swing High/ Low를 판정하는 데에 더 긴 시간이 걸리게 되므로, Signal이 다소 늦게 발생하는 단점이 생기게 됩니다.
Pivot Length를 줄일 경우, 반대로 Swing High/Low의 판정이 더 빨리 일어나기 때문에, Signal을 거래에 이용하기는 좋을 수 있습니다. 다만, Swing High와 Low가 훨씬 더 잦은 빈도로 발생하기 때문에 False Signal을 줄 가능성이 높아집니다.
Pivot Reference에서는 가격의 Swing Point를 설정함에 있어, High/Low(고가/저가)를 이용할 지 Close (종가)를 이용할 지 선택할 수 있습니다.
Pivot High/Low Marker를 선택할 경우 Pivot High/ Low에 Marker가 찍히게 됩니다.
#2 RSI와 CMF Setting
RSI와 CMF Setting에서는 RSI와 CMF의 길이를 각각 설정할 수 있습니다. 기본값은 14와 20으로 설정되어 있습니다.
#3 Label Setting
Label Setting에서는 Label에 표시되는 글자를 선택할 수 있습니다.
기본값은 "Bullish / Bearish", "RSI/CMF", "Divergence"로 선택되어 있으며, 너무 길다고 느껴질 경우 "Bull/Bear" 혹은 "None"을 클릭하여 길이를 줄일 수 있습니다. 마찬가지로 Divergence의 경우도 생략이 가능합니다.
하단에서는 Divergence Line과 Label을 켜고 끌 수 있으며, 선의 색깔, 굵기, 종류, 그리고 Label의 색깔, 크기, 종류를 선택할 수 있습니다. Label의 Text 색 역시 변경이 가능합니다.
📌 얼러트
얼러트는 자신이 설정한 차트의 심볼과 Label의 문구의 조합으로 제공되며 예를 들면 다음과 같습니다.
"BINANCE:BTCUSDT.P, Bullish RSI Divergence"
PhantomFlow DynamicLevelsThe PhantomFlow Dynamic Levels indicator analyzes the dynamic volume over the period specified in the Period field. Channel boundaries can be used as dynamic support and resistance levels when trading within a range. The POC level also serves as a level at which the price may react during trend movements. The Period Multiplier parameter affects how many dynamic levels will be displayed. The Accuracy parameter influences the precision of volume calculations.
These levels are crucial for intraday traders as they serve as support or resistance. The Value Area zone includes 70% of the traded volume over the selected period. In other words, it represents the price region where the majority of traders believe the fair value for the asset lies.
The indicator's name, Dynamic Levels, aptly captures its essence. It analyzes trading volume at various price levels, tracking the sentiment dynamics of traders. When the asset's price decreases or increases as a result of trading, the Dynamic Levels indicator displays a new level on the chart. This results in a plotted line on the chart, allowing us to observe the movement dynamics of both the value area and the maximum volume level.
Standard indicators do not provide real-time visibility into level shifts, making the use of the Dynamic Levels indicator a competitive advantage in market trading across any time frame.
We borrowed the volume profile calculation code from @LonesomeTheBlue. Thank you for the work done!
Noa: Z-distance from VWAP with Kalman Smoother
Title: Noa: Z-distance from VWAP with Kalman Smoother
Description:
The "Z-distance from VWAP with Kalman Smoother" is a tool constructed on the premise that price evolves in distinct stages: normal or extreme trends (upward or downward) and transitional periods, termed as 'flips'. The Volume Weighted Average Price (VWAP) serves as a benchmark, representing the market's expectation of a fair value over a given time frame. However, since each stock trades on its unique price scale, direct comparisons are not feasible. This script introduces a standardized method, using the Z-score from the VWAP, to understand and compare these relationships across diverse scales.
Core Principles:
Stages of Price Movement:
- Prices don't move purely randomly; while they contain a random element, they oscillate in discernible patterns or stages—either maintaining a trend (normal or extreme) or undergoing transition (flip).
- VWAP as Fair Value: VWAP offers a dynamic representation of what the market perceives as fair value for a stock over a specific period.
- Standardizing Price Relations: Given the varied scales at which different stocks trade, a model was imperative to standardize these relations. The Z-score from the VWAP fulfills this role, offering a normalized measure of how far the price deviates from its perceived fair value.
Features:
Z-score Levels:
The indicator demarcates various stages of price movements, offering clarity on potential overbought or oversold conditions.
- Extreme Up Trend: Indicated when the Z-score surpasses the upper limit.
- Normal Up Trend: Represented when the Z-score lies between the flip upper and the upper limit.
- Transition (Flip): Recognized when the Z-score oscillates within the flip range.
- Normal Down Trend: Denoted when the Z-score is between the flip lower and the lower limit.
- Extreme Down Trend: Marked when the Z-score falls below the lower limit.
Visual Aids:
- Color-coded regions between specific Z-score levels and the Z-score plot itself elucidate the current market state.
- Kalman Filter: By incorporating a Kalman filter, the indicator offers a less noisy and smoother representation of the Z-score, enhancing its interpretability.
Usage:
Trend Analysis:
- The Z-score states and the color-coded plot facilitate a nuanced understanding of the prevailing market trend.
- Potential Reversal Points: Extremely positive or negative Z-scores might hint at impending reversals.
- Buy/Sell Signals: Z-score's interactions with the flip level can be interpreted as potential trading signals.
Example (for illustration purposes only):
AAPL since April 2022: The stock exited from a normal uptrend and transitioned potentially towards a downtrend. By the end of April, AAPL flipped twice before transitioning to a normal downtrend. By early May, the stock moved into an aggressive downtrend. Market buyers were able to counter this downtrend by June, but selling pressure persisted, pushing the stock back into an aggressive downtrend. By the end of June, buyers halted the aggressive selling and transitioned the stock from an aggressive to normal downtrend, then to a flip, and finally to a normal uptrend by the end of August. AAPL briefly peaked into an aggressive uptrend before being pressured back to a normal downtrend. The rest of 2022 saw AAPL attempting several short-lived uptrend flips. However, 2023 brought a change, with AAPL flipping into a normal uptrend by the end of January, maintaining it until August of that year.
Credits:
This script, inspired by Z distance from VWAP by LazyBear and Kalman Smoother by alexgrover, was revamped and enriched by nord-ouestadvisors to embed these core principles and heighten its usability. A special acknowledgment to ChatGPT by OpenAI for the guidance.
Volume peak based zonesThis is a simple but effective indicator based on simple volume.
What does this indicator for you:
Zones are drawn on the basis of volume peaks. It is used for this purpose the closing price to the high or to the low depending on the direction of the candle.
How can this be used:
With volume peaks one assumes that a movement has reached your end for the time being or a new movement is initiated.
This cannot be verified by simple volume alone.
If a zone is displayed is now to pay attention to the following:
Narrow zone: indicate when creating mostly a continuation of the trend. Can later, however, be used as support or resistance.
Medium zones: The price is in an accumulation phase. Here is crucial, whether a candle with increased volume (preferably above the volume SMA) arises and the high or the low of the zone by closing price leaves. Accordingly, a short or long position can be taken. As SL, the high or low of the zone or the candle itself can be used.
Large zones: The high and low of the zone indicate a range in which the price will stay in the near future. The low or the high can be used as a once if the price does not leave the zone despite high volume at the close.
Otherwise, this can be interpreted as a breakout.
Principles of Volume:
Rising Volume at Rising Price = Intact Trend
Rising Volume at Falling Price = Intact Trend
Falling volume at rising price = correction movement
Falling volume at falling price = correction movement
Have Funn!!
Volume Spike Analysis [Trendoscope]The Volume Spike Analysis is designed to detect volume spikes in a trading instrument's data. Rather than relying on the traditional method of comparing volume to its moving average, this indicator employs a distinctive approach to ensure accuracy.
Methodology
Historical Volume Comparison: The indicator first assesses the current bar's volume, say 100k, and looks back historically to determine the last instance when the volume was equal to or exceeded this level.
High Volume Bar Gap Calculation: The intervals or gaps between high volume bars are recorded. These gaps help in determining how common or rare a particular volume spike is.
Spike Magnitude Determination: Here, the extent of the volume spike is gauged in relation to either the median, lowest, or average volume of the intervening bars. The reference metric (median, lowest, or average) can be chosen by the user through the "Volume Spike Reference" input parameter.
Spike Percentile Analysis: The calculated spike magnitude (as a percentage of the reference volume) is cataloged. This collection aids in understanding the relative intensity of the current volume spike when compared to previous spikes.
Threshold Comparisons: The indicator then compares the calculated "High Volume Distance Percentile" to the "Last High Volume Distance Percentile" and the "Volume Spike Percentile" to the "Volume Spike Threshold". If these values surpass the preset thresholds, the current bar is flagged as a high volume or volume spike bar.
Visual Components
Bar Highlighting : High volume or volume spike bars are accentuated with bright colors for easy identification. All other bars have increased transparency to reduce visual clutter.
Distance from the High Volume Bar: Indication of the number of bars since the last high volume occurrence and its respective percentile.
Comparative Factors: A factor representing the magnitude by which the current volume surpasses the lowest, median, and average volumes.
Lowest, Median and Average Volumes: The lowest and median volumes are indicated by tooltips on lines marking the respective bars. The average volume is depicted as a dotted horizontal line, with a triangle marker tooltip revealing its value.
This indicator offers a nuanced analysis of volume spikes, aiding traders in making more informed decisions.
