Support/Resistance Breakout DetectorThis indicator automatically detects and plots dynamic support and resistance levels using pivot highs and lows.
✅ It draws red resistance lines and blue support lines,
✅ The lines extend forward but automatically stop when the price touches them,
✅ It monitors for breakouts with strong volume,
✅ When a breakout happens, it shows labels like “B” or “Bull Wick” / “Bear Wick” on the chart,
✅ It also triggers alerts when support or resistance breaks with high volume.
Main settings:
Pivot lookback period
Show/hide breakout labels
Minimum volume for breakout
Maximum extension length for lines
This tool helps traders easily spot key price levels and watch for meaningful breakouts.
Cerca negli script per "support resistance"
Support, Resistance, MA, and ADXSummary
This comprehensive script provides traders with a tool that highlights critical levels of support and resistance, detects significant price breakouts with volume confirmation, identifies potential reversals with wick analysis, and plots a moving average that changes color based on trend strength as indicated by the ADX. It is useful for spotting entry and exit points, confirming breakouts, and identifying trend direction and strength.
Support/Resistance LinesThis script displays support and resistance lines at the levels you enter in the Input Settings. It does not perform the S/R calculations.
It allows you to:
Enter up to 6 support and 6 resistance lines each; any with value of 0 will be hidden
Specify one ticker that it applies to, so the lines will be hidden if you switch charts
Set the text size, color, horizontal offset, and whether to display the price values for each line
Set the color, transparency and line type for the S/R lines
Support Resistance ZonesSupport and resistance zones are used across all markets by traders and bots alike to identify liquidity and possible bounce areas. This script automates the drawing of those zones based on a number of variables, such as lookback period, channel width, number of touch confirmations and more.
This script also implements a some useful alerts so you can rest easy until the market hits a point of interest:
Enter SR Zone
Exit SR Zone
Break Upper Resistance
Break Lower Resistance
Support Resistance DiagonalClassic diagonal support and resistance based on pivot points. As a result, they form triangles, wedges, channels and other patterns. Realtime update up to 1 second chart.
Support/Resistance x3Support and Resistance Levels for 3 time frames, based on volume at fractal levels
Original script is thanks to synapticex I have just migrated to version 3 and heavily modified it
Support/Resistance V2 IndicatorWith this support and resistance indicator, if you want more levels just change the timeframe it looks at in the settings. It will pull the SR levels off the timeframe specified in the settings. Note: SR1 and SR2 timeframe should match.
Support Resistance - Aging [Example]Hello All,
First all of Thanks to Pine Team for adding Arrays to Pine!
In this script I tried to make example for
1. Finding S/R lines using highest/lowest function
2. Using 1D array as 2D (we keep S/R levels and age)
3. "Age" usage for S/R levels, getting older on each candle and changing colors by their age (maximum age is 127 then it disappears)
You can use "Close"/Open " or " High/Low " as source.
There is an option for the background color, by default it's Black, do not forget to set it accordingly :)
Enjoy!
Standard Deviation Pivot pointsSupport Resistance points that are calculated based on the standard deviation of the traditional pivot point(previous session's high, low and close). More often stocks tend to oscillate between 3 levels of deviation forming day's high or low. A breakout of the 3rd SR level with volume indicates a strong trend day.
Support and Resistance ZoneSupport and Resistance Zone Indicator :
Introduction :
The purpose of this indicator is to identify the chart symbol's main supports and resistances. It displays these key zones, which are very important psychological points for traders. Since support and resistance are not very precise levels, the indicator displays them as zones.
Pivots :
Pivots are a key concept in identifying support and resistance. The indicator uses two types of pivot:
Pivot high : This is a high point that has not been reached by a user-defined number of candles on either the left and right of this candle. The " left pivot leg " is the number of candles before this pivot point that have not reached the realized high, and the " right pivot leg " is the number of candles after this pivot point that have not reached this high. If these two conditions are met, the pivot point is considered a turning point, and resistance is probably the cause.
Pivot low : This is a low point that has not been reached by a user-defined number of candles on either the left or right. The " left pivot leg " is the number of candles before this pivot point that have not reached the candle low, and the " right pivot leg " is the number of candles after this pivot point that have not reached this low. If these two conditions are met, the pivot point is considered a turning point, and support is probably the cause.
Support/Resistance area :
If a pivot point has been identified, the indicator considers it a resistance if it's a pivot high, or a support if it's a pivot low. To define the support or resistance zone, we'll use the ATR (Average True Range), an indicator that measures asset volatility. We'll take the ATR of the candle for which the pivot was spotted, and use it as the width of the support or resistance zone. Thus the upper line of support/resistance is at pivot+atr/2 and the lower line is at pivot-atr/2 . The greater the volatility, the larger the zone.
New Support/Resistance :
If a new pivot has been identified, but the level of this pivot lies between the lower line and the upper line of the previous support or resistance, the indicator considers this to be the same support or resistance as before. In this case, no new support or resistance is created. The pivot must be outside the area of the previous support or resistance to be validated.
Anticipated Support/Resistance :
This indicator also allows early detection of support or resistance. To do this, the value of the right pivot legs will be shortened in order to find these areas more quickly. The support or resistance will then be considered anticipated and may disappear at any time if the high/low is reached. On the other hand, if the high/low is not reached, and a number of candles equal to the " Right Pivot Legs" parameter has elapsed since the detection of this anticipated support/resistance, it will be considered validated and will integrate the other supports/resistances of the chart.
Extended supports/resistances :
For a more optimal view, the indicator allows the user to choose the number of last support or resistance levels to be extended to the last candle. This must be specified in the indicator parameters.
Parameters :
Pivot Legs : Determine the left and right legs of the pivot i.e the number of candle before and after the pivot that doesn’t reach pivot point. The pivot is validated only if this two conditions are verified.
Extend Last Supports : Number of supports to extend to the last bar
Extend Last Resistances : Number of resistances to extend to the last bar
Show Support/Resistance Anticipated : If yes, will find anticipated support and resistance
Right Pivot Legs for Anticipation : Determine the right legs of pivots to find faster a support or a resistance.
Conclusion :
This indicator plot support and resistance zones based on pivot. The width of support and resistance zones are calculated with ATR. Possibility to find anticipated support and resistance in order to have more timeliness informations.
Enjoy the indicator and don’t forget to take the trade ;)
Advanced Key Levels ProHere's a professional publication text for your TradingView indicator:
Title:
Advanced Key Levels Pro - Multi-Timeframe Support & Resistance
Short Description (max 400 characters):
Professional key levels indicator featuring Yesterday's High/Low/Close, Premarket levels, Opening Range, VWAP, Weekly/Monthly pivots, ATR zones, touch counting, confluence detection, and smart proximity filtering. Perfect for day traders and swing traders.
Full Description:
Advanced Key Levels Pro is a comprehensive support and resistance indicator designed for professional day traders and swing traders who need precise, actionable price levels.
🎯 KEY FEATURES:
📊 Essential Price Levels:
Yesterday's High, Low, and Close
Premarket High and Low (customizable session)
Today's Open
Opening Range (customizable minutes)
Daily VWAP
Previous Week High/Low
Previous Month High/Low
🔥 Advanced Features:
ATR Zones: Dynamic zones around key levels based on volatility
Touch Counter: Tracks how many times price tested each level
Strength Indicator: Colors levels by their strength/importance
Confluence Detection: Automatically highlights areas where multiple levels cluster
Smart Proximity Mode: Hides distant levels to reduce chart clutter
Distance Calculator: Shows exact distance and percentage to each level
📈 Visual Enhancements:
Clean, customizable labels with all critical information
Adjustable line width and label sizes
Color-coded levels for quick identification
Statistics table showing all active levels and distances
Background highlighting for confluence zones
Transparent design that doesn't obstruct price action
⚙️ Customization Options:
Toggle any level on/off independently
Adjust session times for premarket and market hours
Customize opening range duration (1-240 minutes)
Set proximity distance threshold
Modify ATR length and multiplier
Configure confluence detection sensitivity
Fully customizable color scheme
🔔 Alert System:
Price proximity alerts for key levels
Customizable alert distance threshold
Once-per-bar alert frequency
💡 Perfect For:
Day traders looking for intraday support/resistance
Scalpers who need precise entry/exit points
Swing traders tracking multi-day levels
Anyone trading breakouts or reversals at key levels
📋 Use Cases:
Identify high-probability reversal zones
Plan entries and exits around key levels
Spot breakout opportunities
Recognize areas of institutional interest
Track daily range expansion
✅ Benefits:
Saves time analyzing multiple timeframes
Reduces decision paralysis with clear levels
Improves risk/reward ratios
Works on all markets (stocks, forex, crypto, futures)
Compatible with any trading strategy
Multi-timeframe key levels (daily, weekly, monthly)
Premarket and opening range tracking
ATR-based dynamic zones
Touch counting and strength indicators
Confluence detection system
Smart proximity filtering
Comprehensive statistics table
Customizable alerts
Full color and display customization
How to Use:
Add the indicator to your chart
Customize which levels you want to display in settings
Adjust proximity mode to show only nearby levels
Enable alerts for important price levels
Use the statistics table to monitor distances
Best Practices:
Use on 1-5 minute charts for day trading
Enable proximity mode on busy charts
Combine with volume analysis for confirmation
Watch for price reactions at confluence zones
Set alerts slightly before key levels
Support:
If you find this indicator helpful, please leave a like and comment! For questions or feature requests, feel free to reach out.
Settings Quick Reference:
Display Options: Show/hide individual level groups
Enhanced Features: ATR zones, touch counting, confluence
Smart Display: Proximity filtering, distance labels
Session Times: Customize premarket and market hours
Visual: Line width, label size, colors
Alerts: Enable and configure price alerts
Disclaimer: This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and manage your risk appropriately.
Multi EMA and SMA with VWAP Indicator📊 Custom Multi-MA & VWAP Indicator
A comprehensive and fully customizable moving average indicator that combines 6 Exponential Moving Averages (EMAs), 3 Simple Moving Averages (SMAs), and VWAP in one clean, easy-to-use tool.
✨ Features:
6 Configurable EMAs:
• Default periods: 9, 21, 50, 100, 150, 200
• Fully adjustable lengths
• Individual color customization
• Show/hide toggles for each EMA
3 Configurable SMAs:
• Default periods: 20, 50, 100
• Fully adjustable lengths
• Individual color customization
• Show/hide toggles for each SMA
• Thicker lines for easy distinction from EMAs
VWAP (Volume Weighted Average Price):
• Toggle on/off
• Customizable color and line width
• Essential for intraday trading and institutional levels
🎯 Use Cases:
• Trend identification and confirmation
• Support and resistance levels
• Entry and exit signals
• Multi-timeframe analysis
• Day trading and swing trading strategies
• Institutional price levels (VWAP)
⚙️ Fully Customizable:
Every aspect of this indicator is configurable through the settings panel:
• Adjust any MA period to fit your trading strategy
• Choose your preferred colors for better chart visualization
• Enable/disable specific MAs to reduce chart clutter
• Customize VWAP line thickness
📈 Perfect For:
• Traders who use multiple moving averages in their strategy
• Those seeking an all-in-one MA solution
• Clean chart organization with one indicator instead of multiple
• Both beginners and experienced traders
💡 Tips:
• Use shorter EMAs (9, 21) for quick trend changes
• Longer EMAs (100, 150, 200) act as strong support/resistance
• VWAP is particularly useful for intraday trading
• Customize colors to match your chart theme
Version: Pine Script v6
Overlay: Yes (plots directly on price chart)
Floor Trader PivotsGenerated by: Claude Sonnet 4.5
Pine Script that draws Floor Trader Pivots using 'daily' price levels with configurable options.
Key Features:
Pivot Calculation: Uses the classic formula: Pivot = (High + Low + Close) / 3
Resistance levels: R1, R2, R3
Support levels: S1, S2, S3
Optional mid-pivots between main levels
Configurable Settings:
Timeframe: Choose Daily, Weekly, or Monthly pivots
Display toggles: Show/hide individual levels
Colors: Customize each level's color
Line style: Solid, dashed, or dotted
Line width: 1-5 pixels
Extension: None, right, or both directions
Labels: Show/hide with left or right positioning
Calculations:
R1 = 2×Pivot - Low
R2 = Pivot + (High - Low)
R3 = R1 + (High - Low)
S1 = 2×Pivot - High
S2 = Pivot - (High - Low)
S3 = S1 - (High - Low)
Uses daily price levels specifically.
Added daily-specific data fetching: The script now explicitly fetches both current day and previous day's high, low, and close prices
Calculations use daily data: All pivot calculations now use prevDailyH, prevDailyL, and prevDailyC (previous day's high, low, close)
Kept the timeframe input: You can still change it if you want weekly or monthly pivots, but it now defaults to and emphasizes daily calculations
The Floor Trader Pivots will now always be based on the previous day's price action, which is the traditional method floor traders use. This is particularly useful for intraday trading as these levels update daily and provide key support/resistance zones.
Adaptive MFT Extremum Pivots [Elysian_Mind]Adaptive MFT Extremum Pivots
Overview:
The Adaptive MFT Extremum Pivots indicator, developed by Elysian_Mind, is a powerful Pine Script tool that dynamically displays key market levels, including Monthly Highs/Lows, Weekly Extremums, Pivot Points, and dynamic Resistances/Supports. The term "dynamic" emphasizes the adaptive nature of the calculated levels, ensuring they reflect real-time market conditions. I thank Zandalin for the excellent table design.
---
Chart Explanation:
The table, a visual output of the script, is conveniently positioned in the bottom right corner of the screen, showcasing the indicator's dynamic results. The configuration block, elucidated in the documentation, empowers users to customize the display position. The default placement is at the bottom right, exemplified in the accompanying chart.
The deliberate design ensures that the table does not obscure the candlesticks, with traders commonly situating it outside the candle area. However, the flexibility exists to overlay the table onto the candles. Thanks to transparent cells, the underlying chart remains visible even with the table displayed atop.
In the initial column of the table, users will find labels for the monthly high and low, accompanied by their respective numerical values. The default precision for these values is set at #.###, yet this can be adjusted within the configuration block to suit markets with varying degrees of volatility.
Mirroring this layout, the last column of the table presents the weekly high and low data. This arrangement is part of the upper half of the table. Transitioning to the lower half, users encounter the resistance levels in the first column and the support levels in the last column.
At the center of the table, prominently displayed, is the monthly pivot point. For a comprehensive understanding of the calculations governing these values, users can refer to the documentation. Importantly, users retain the freedom to modify these mathematical calculations, with the table seamlessly updating to reflect any adjustments made.
Noteworthy is the table's persistence; it continues to display reliably even if users choose to customize the mathematical calculations, providing a consistent and adaptable tool for informed decision-making in trading.
This detailed breakdown offers traders a clear guide to interpreting the information presented by the table, ensuring optimal use and understanding of the Adaptive MFT Extremum Pivots indicator.
---
Usage:
Table Layout:
The table is a crucial component of this indicator, providing a structured representation of various market levels. Color-coded cells enhance readability, with blue indicating key levels and a semi-transparent background to maintain chart visibility.
1. Utilizing a Table for Enhanced Visibility:
In presenting this wealth of information, the indicator employs a table format beneath the chart. The use of a table is deliberate and offers several advantages:
2. Structured Organization:
The table organizes the diverse data into a structured format, enhancing clarity and making it easier for traders to locate specific information.
3. Concise Presentation:
A table allows for the concise presentation of multiple data points without cluttering the main chart. Traders can quickly reference key levels without distraction.
4. Dynamic Visibility:
As the market dynamically evolves, the table seamlessly updates in real-time, ensuring that the most relevant information is readily visible without obstructing the candlestick chart.
5. Color Coding for Readability:
Color-coded cells in the table not only add visual appeal but also serve a functional purpose by improving readability. Key levels are easily distinguishable, contributing to efficient analysis.
Data Values:
Numerical values for each level are displayed in their respective cells, with precision defined by the iPrecision configuration parameter.
Configuration:
// User configuration: You can modify this part without code understanding
// Table location configuration
// Position: Table
const string iPosition = position.bottom_right
// Width: Table borders
const int iBorderWidth = 1
// Color configuration
// Color: Borders
const color iBorderColor = color.new(color.white, 75)
// Color: Table background
const color iTableColor = color.new(#2B2A29, 25)
// Color: Title cell background
const color iTitleCellColor = color.new(#171F54, 0)
// Color: Characters
const color iCharColor = color.white
// Color: Data cell background
const color iDataCellColor = color.new(#25456E, 0)
// Precision: Numerical data
const int iPrecision = 3
// End of configuration
The code includes a configuration block where users can customize the following parameters:
Precision of Numerical Table Data (iPrecision):
// Precision: Numerical data
const int iPrecision = 3
This parameter (iPrecision) sets the precision of the numerical values displayed in the table. The default value is 3, displaying numbers in #.### format.
Position of the Table (iPosition):
// Position: Table
const string iPosition = position.bottom_right
This parameter (iPosition) sets the position of the table on the chart. The default is position.bottom_right.
Color preferences
Table borders (iBorderColor):
// Color: Borders
const color iBorderColor = color.new(color.white, 75)
This parameters (iBorderColor) sets the color of the borders everywhere within the window.
Table Background (iTableColor):
// Color: Table background
const color iTableColor = color.new(#2B2A29, 25)
This is the background color of the table. If you've got cells without custom background color, this color will be their background.
Title Cell Background (iTitleCellColor):
// Color: Title cell background
const color iTitleCellColor = color.new(#171F54, 0)
This is the background color the title cells. You can set the background of data cells and text color elsewhere.
Text (iCharColor):
// Color: Characters
const color iCharColor = color.white
This is the color of the text - titles and data - within the table window. If you change any of the background colors, you might want to change this parameter to ensure visibility.
Data Cell Background: (iDataCellColor):
// Color: Data cell background
const color iDataCellColor = color.new(#25456E, 0)
The data cells have a background color to differ from title cells. You can configure this is a different parameter (iDataColor). You might even set the same color for data as for the titles if you will.
---
Mathematical Background:
Monthly and Weekly Extremums:
The indicator calculates the High (H) and Low (L) of the previous month and week, ensuring accurate representation of these key levels.
Standard Monthly Pivot Point:
The standard pivot point is determined based on the previous month's data using the formula:
PivotPoint = (PrevMonthHigh + PrevMonthLow + Close ) / 3
Monthly Pivot Points (R1, R2, R3, S1, S2, S3):
Additional pivot points are calculated for Resistances (R) and Supports (S) using the monthly data:
R1 = 2 * PivotPoint - PrevMonthLow
S1 = 2 * PivotPoint - PrevMonthHigh
R2 = PivotPoint + (PrevMonthHigh - PrevMonthLow)
S2 = PivotPoint - (PrevMonthHigh - PrevMonthLow)
R3 = PrevMonthHigh + 2 * (PivotPoint - PrevMonthLow)
S3 = PrevMonthLow - 2 * (PrevMonthHigh - PivotPoint)
---
Code Explanation and Interpretation:
The table displayed beneath the chart provides the following information:
Monthly Extremums:
(H) High of the previous month
(L) Low of the previous month
// Function to get the high and low of the previous month
getPrevMonthHighLow() =>
var float prevMonthHigh = na
var float prevMonthLow = na
monthChanged = month(time) != month(time )
if (monthChanged)
prevMonthHigh := high
prevMonthLow := low
Weekly Extremums:
(H) High of the previous week
(L) Low of the previous week
// Function to get the high and low of the previous week
getPrevWeekHighLow() =>
var float prevWeekHigh = na
var float prevWeekLow = na
weekChanged = weekofyear(time) != weekofyear(time )
if (weekChanged)
prevWeekHigh := high
prevWeekLow := low
Monthly Pivots:
Pivot: Standard pivot point based on the previous month's data
// Function to calculate the standard pivot point based on the previous month's data
getStandardPivotPoint() =>
= getPrevMonthHighLow()
pivotPoint = (prevMonthHigh + prevMonthLow + close ) / 3
Resistances:
R3, R2, R1: Monthly resistance levels
// Function to calculate additional pivot points based on the monthly data
getMonthlyPivotPoints() =>
= getPrevMonthHighLow()
pivotPoint = (prevMonthHigh + prevMonthLow + close ) / 3
r1 = (2 * pivotPoint) - prevMonthLow
s1 = (2 * pivotPoint) - prevMonthHigh
r2 = pivotPoint + (prevMonthHigh - prevMonthLow)
s2 = pivotPoint - (prevMonthHigh - prevMonthLow)
r3 = prevMonthHigh + 2 * (pivotPoint - prevMonthLow)
s3 = prevMonthLow - 2 * (prevMonthHigh - pivotPoint)
Initializing and Populating the Table:
The myTable variable initializes the table with a blue background, and subsequent table.cell functions populate the table with headers and data.
// Initialize the table with adjusted bgcolor
var myTable = table.new(position = iPosition, columns = 5, rows = 10, bgcolor = color.new(color.blue, 90), border_width = 1, border_color = color.new(color.blue, 70))
Dynamic Data Population:
Data is dynamically populated in the table using the calculated values for Monthly Extremums, Weekly Extremums, Monthly Pivot Points, Resistances, and Supports.
// Add rows dynamically with data
= getPrevMonthHighLow()
= getPrevWeekHighLow()
= getMonthlyPivotPoints()
---
Conclusion:
The Adaptive MFT Extremum Pivots indicator offers traders a detailed and clear representation of critical market levels, empowering them to make informed decisions. However, users should carefully analyze the market and consider their individual risk tolerance before making any trading decisions. The indicator's disclaimer emphasizes that it is not investment advice, and the author and script provider are not responsible for any financial losses incurred.
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Disclaimer:
This indicator is not investment advice. Trading decisions should be made based on a careful analysis of the market and individual risk tolerance. The author and script provider are not responsible for any financial losses incurred.
Kind regards,
Ely
[RickAtw] O1 Opening Market LineThis indicator helps to identify current support and resistance based on the opening of the Asian, London and New York sessions.
Function
You can make good trade entries based on these lines. Shows daily and weekly openings of each session
It will also help you to look at which session you are currently trading)
Purple ----> Asian session
Red ----> London session
Blue ----> New York session
Key Signal
buy ---> A strong buy signal is a bounce from the low and the presence of a weekly or day open line.
sell ---> A strong sell signal is a bounce from the maximum and the presence of a weekly or day open line.
P.S. Be sure to test on your pair!
Remarks
This will help you determine the approximate area of support and resistance.
Since we cannot look into the future, it does not inform you about the exact records, but a possible change in trends.
Readme
In real life, I am a professional investor. And I check each of my indicators on my portfolio and how effective it is. I will not post a non-working method. The main thing is to wait for the beginning of trends and make money!
I would be grateful if you subscribe ❤️
Machine Learning: Support and Resistance [YinYangAlgorithms]Overview:
Support and Resistance is normally based upon Pivot Points and Highest Highs and Lowest Lows. Many times coders even incorporate Volume, RSI and other factors into the equation. However there may be a downside to doing a pure technical approach based on historical levels. We live in a time where Machine Learning is becoming more and more used; thus we have decided to create a Machine Learning Support and Resistance Projection based Indicator. Rather than using traditional Support and Resistance calculations using historical data, we have taken a rather different approach. This Indicator instead attempts to Predict and Project where Support and Resistance locations will be based on a Machine Learning Model using a form of KNN (k-Nearest Neighbors).
Since this indicator creates a Projection of where it deems Support and Resistance will be, it has the ability to move its Support and Resistance before the price even gets to it if it believes it will surpass its projections. This may create a more accurate placement of Support and Resistance as they’re not based on historical levels.
This Indicator does not Repaint.
How it works:
This Indicator makes its projections based on the source you provide (by default close) of the previous bar and submits the source, RSI and EMA to our Projection Function to get its projection of the current bar.
The Projection function essentially calculates potential movement after finding the differences between the source the MA from the current bar, previous bar and average over the span of Machine Learning Length.
Potential movement is defined as:
Average Difference + Average(Machine Learning Average, Average Last Distance)
Average Difference: (Absolute value of Current Source - Current MA) - (Absolute value of Machine Learning Average - Machine Learning MA)
Average Last Distance: Average(Current Source - Current MA, Previous Source - Previous MA)
It then predicts the next bars directional movement (bullish or bearish bar) using several factors:
Previous Source > Previous MA
Current Source - Current MA > Average Source - Average MA
Current RSI > Previous RSI
Current RSI > 30 and Previous RSI <= 30
Current RSI < 70 and Previous RSI >= 70
This helps us to predict the direction the next bar may move.
We then calculate a multiplier that we apply to our Potential Movement value to get our final result which is our Current Bars Close Projection.
Our multiplier is calculated using:
(Current RSI > 30 and Previous RSI <= 30) OR (Current RSI < 70 and Previous RSI >= 70)
Current Source - Current MA > Previous Source - Previous MA
We then create an array and fill it with the previous X projections (Machine Learning Length) and send it to another function. This function, if told to, will sort the data accordingly and then output the KNN average of the length given.
We calculate and plot various KNN lengths to create different Zones:
Strong Support: Length of 2 but sort the data Ascending (low to high)
Strong Resistance: Length of 2 but sort the data Descending (high to low)
Support: Length of Machine Length Length / 10 or Min of 2 sorted by Ascending
Resistance: Length of Machine Length Length / 10 or Min of 2 sorted by Descending
There are also 4 other plots you may be wondering what they are, there is your AVG, VWMA, Long Term Memory and Current Projection.
By default your Current Projection is disabled in settings but you can enable it if you are curious to see how the projections for each close are calculated. It is, however, not a crucial point of interest (white line).
The average is simply the average value of the Machine Learning Data (purple line).
The VWMA is a VWMA calculation applied to our Data over a length specified in settings (by default 1)(blue line). The VWMA is crucial when combined with the Avg as they can cross over and under each other. These crosses represent potential Bullish and Bearish zones.
Lastly, but certainly not least, we have the Long Term Memory (maroon line). The Long Term Memory can be displayed either as an ‘Average’, ‘Hard Line’ or ‘None’. The Long Term Average is only updated every Machine Learning Length Bar Index’s and is populated with the average of the Machine Learning Data. For Instance, if Machine Learning Length is set to 100, the Long Term Memory is only updated every 100 bars, and since its length is the same as the Machine Learning Length, that means its data is composed of 10,000 bars worth of data. The Long Term Memory may be very beneficial for determining where Support and Resistance lie over the Long Term within a Machine Learning Algorithm. When set to ‘Average’ it plots the connection lines diagonally, and although they may be more visually appealing, they’re less useful when it comes to actually seeing support and resistance as generally speaking, support and resistance lie on the horizontal. When set to ‘Hard Line’ the Long Term Memory is connected with hard lines and holds the price value until the next time it is updated. This makes it much more useful for potentially identifying Support and Resistance.
Tutorial:
Here is an overview of what the Indicator looks like, now let's start to dissect it.
In the example above we can see how all of the lines between the Major Support and Resistance zones may act as BOTH Support and Resistance depending on which side the price is currently on. In the circle on the left, we can see how it can fluctuate between the two. If you look at the circle on the right, we can see how the Average line acts as a strong support before it fails to maintain it. Generally speaking, most Support and Resistance locations may potentially fail to hold after 3 tests, as the Average did in this example.
As you can see, the Support and Resistance doesn’t wait to be tested before adjusting, which is why there are 2 lines which create their zones. The inner line is the Support/Resistance and the outer line is the Strong Support/Resistance. The Yellow Circle shows the inner line was able to calculate the moving resistance correctly and then adjusted accordingly as it was projecting the price to keep increasing. However, if you look at the White Circle, you can see that since there was first a crash, and then parabolic movement, that the inner zone could not move and predict the resistance as well as the outer zone could.
We consider the price to be ‘Overvalued’ when it is above the VWMA (blue line) and ‘Undervalued’ when it is below the VWMA. It is considered ‘fair’ price when it is within the VWMA to Average zone (between the blue and purple lines). If you look at the example above, you’ll notice where the two yellow circles are, it is not only considered ‘Overvalued’, but it then proceeds to ride the inner resistance line upwards. This is common when the market is overly bullish and vice versa when it is bearish. Please keep in mind, although it is common, it doesn’t mean a correction can’t happen.
In this example above we look at the last bull run that may have started due to the halving. This bull run was very bullish as you can see in the example above. The price was constantly sitting within the Resistance Zone and the VWMA that was very close to it was constantly acting as a Support. Naturally, due to the Algorithm used in this Indicator, as the momentum starts to slow down, the VWMA (blue line) will start to space out more and more from the Resistance Zone. This doesn’t mean the momentum is gone, it just means it may be slowing down.
Unfortunately we have to study the Bear Market with a different perspective than the Bull Market. However, there are still some similarities within the two. If you refer to the example above and the previous example, you can clearly see that the Bull Market loves to stay with the Resistance Zone and use the VWMA as a Support. However, the Bear Market does not. This is a normal occurrence, however we can see from the example above you may see a correction / horizontal movement when the Outer Support Line is touched. If you look at all 3 yellow circles, the Outer Support Line was touched, then either a small correction or horizontal consolidation occurred.
We will conclude our Tutorial here, hopefully you’ll be able to benefit from a moving Support and Resistance calculated with Machine Learning that projects its locations, rather than using traditional calculations.
Settings:
Source: This source is the base for all our calculations
Machine Learning Length: How much projection data are we storing and using to make calculations.
Smoothing Length: We need to smooth calculations such as RSI, EMA and VWMA. What length are we smoothing it with?
VWMA ML Projection Length: How far into our Machine Learning data should we average for our VWMA. Please note the 'Smoothing Length' is still applied here after getting the Projection Average.
Long Term Memory: Long term memory has the same storage length but is only updated once per Machine Learning Length. For instance, if Machine Learning Length is 100, it will save the Average of our data once every 100 bars. This means its memory is an average of 10,000 bars of Machine Learning. 'Average' connects its values diagonally whereas 'Hard Line' holds its value until it changes.
Use Average Last Distance In Potential Movement: This can help accuracy but generally also displaces the Support and Resistance by projecting it further.
Show Current Projection: Projections occur for each bar, and our Machine Learning utilizes these projections by storing and evaluating them. This toggle will display the Current Projection Line which is used to create all our Projections.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
Parallel Pivot Lines [LuxAlgo]Displays lines connecting past pivot high/low points with each line having the slope of a linear regression. This slope can also be controlled by the user with the 'Slope' setting. Each line can be used as a support or resistance by the user.
Settings
Length : Pivot length. Use higher values for having lines connected to more significant pivots points.
Lookback : Number of lines connecting a pivot high/low to display, with a total of lines equal to Lookback*2
Slope : Allows the user to multiply the linear regression slope by a number within -1 and 1
Limitations
The script has currently several real time behavior limitations. Lines are displayed retrospectively and will not update with the arrival of new bars. Readjusting the indicator to newer pivots will require the user to either hide/unhide the indicator or change its settings.
High Length or Lookback values might not return any lines if the location of a pivot point is outside the defined buffer size of the indicator (set as 5000 bars).
How To Use
The indicator can be used to get supports and resistances and is more so closer to a drawing tool due to its limitations. The lines not updating with the arrival of new bars have the advantage of providing fixed supports/resistances.
The Slope setting allows the user to control the angle and direction of the lines. Using a Slope of 1 will return lines with the same slope as the one of a linear regression fit from the farthest pivot point displayed by the indicator to the most recent bar.
The chart above shows the indicators and a linear regression in orange.
If you want to have horizontal lines, use a Slope equal to 0.
Finally using a negative slope value will allow the user to have lines in opposite directions to the main trend.
Conclusion
We hope you like this indicator (drawing tool) and find it useful for drawing your support & resistances in a unique way!
Daily 12/21 EMA OverlayDaily 12/21 EMA Overlay
This indicator projects the daily 12 and 21 EMAs onto any timeframe as a soft, semi-transparent band. It is designed to give a constant higher-timeframe bias and dynamic support/resistance reference while you execute your systems on lower timeframes (4H, 1H, 15m, etc.).
The script uses request.security() to calculate the 12/21 EMAs on the daily chart only, then overlays those values on your current timeframe without recalculating them locally. This means the band always represents the true daily 12/21 EMAs, regardless of the chart you are viewing.
Key Features:
Fixed daily 12/21 EMA band, visible on all timeframes
Faded lines and fill to keep focus on your active intraday tools
Simple, minimal inputs (fast length, slow length, colors, band visibility)
Ideal as a higher-timeframe “backdrop” for systems built around EMA trend, rejections, or liquidity sweeps
How to Use
Add the indicator on any symbol and timeframe
Keep your normal intraday EMAs (e.g., EMA 12/21) for execution
Note: You can change the bands to not just be 12 or 21, you can change them if needed for your own systems or emas that you use.
This tool is intentionally lightweight: it does one job—showing the true daily EMA structure across all timeframes—and leaves trade execution logic to your primary system.
The Perfect Support & ResistanceSupport & Resistance drawn based on overbought & oversold RSI . where the overbought acts as resistance and oversold acts as support.
It has 2 levels (for support and resistance - i call them level_n_high or level_n_low) for each lookback period. it checks the highest pivot and the lowest pivot based on the lookback period then we compare if rsi is higher than the highest pivot or the lowest pivot and we also check if rsi is overbought or oversold and if the statement is true, then we assign the high to the variable level_n_high or level_n_low. n being the number of levels. in total there are 5 levels with both high & low for 5 lookback periods. This is basically how the code works.
these levels can be accessed at any timeframe. the defaults are 5m and 30m.
RSI settings: (default)
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length - 14
source - close
overbought - 70
oversold - 30
lookback settings: (default)
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lookback_0 - 200
lookback_1 - 100
lookback_2 - 50
lookback_3 - 20
lookback_4 - 10
Timeframe Settings: (default)
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htf1 - 5m
htf2 - 30m
Enjoy!
Hyper Frame Fibo MA RibbonsIntroduction
Moving averages are an integral part of the TA world. There are different types of moving averages and each person uses them depending on their strategy and market conditions.
Meanwhile, the main variable in calculating the averages is their LENGTH. This value is optional, but not every value is applicable.
After much experience in the world of financial markets, I came to the conclusion that although the most popular length values are 20, 50, 100, and 200, the Fibonacci number come with surprising results .
Description
The following script calculates seven averages with the length of Fibonacci numbers (34, 55, 89, 144, 233, 377 and 610) with the formula of your choice (SMA, EMA, WMA, HMA) and shows that we named it FiboMa .
You can also have Bollinger Bands with the desired frame at the same time.
This is not the whole story...
You can see the same values from smaller or larger frames at the same time!
We named this feature Hyper Frame Vision .
It is possible to display values for FiboMa up to three hyper frames (with the main frame a total of 4 levels) and in the Bollinger Bands one hyper frame (with the main frame a total of 2 levels).
By default, the display of FiboMa hyper frame values is limited to the last 10 bars, which you can change to an arbitrary value by changing the source code.
The display of hyper frame values is not limited for Bollinger Band.
What is its use? What is it good for?
Support and Resistance
Using dynamic support / resistance is much smarter than static! This protects you from the risk of many fake breaks, and your profit and loss limits will be more flexible and more efficient.
The intersection of FiboMa ribbons are potential points of support / resistance.
We use colors to easily identify supports / resistances.
Any average lower than the price is assumed as support and displayed in green, and any average above the price is assumed as resistance so displayed in red.
So the color of the averages is dynamic.
The color of FiboMa is a range from red to green. Whatever colors get saturated , the lenght is longer and the more power it has as support / resistance.
Volatility
With this script, you also have the ability to monitor the amount of market volatility ! The combination of Bollinger Bands and FiboMa provides a clear view of the market volatility.
The decrease and compression of the FiboMa width is a sign of a decrease in volatility and vice versa.
Trend
I don't see the need for additional explanation, only whenever the price is higher than the middle band , the BB cloud is green , and whenever it is lower , is red .
The wider FiboMa means the stronger trend.
How to use
In the script settings you have the ability to enable or disable anything except.
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Similar scripts have been published before and we were inspired by them and tried to improve idea and code uniqe one.
I hope it will be useful .. Support us with your likes and comments .. We have anothers great script .. Just started.
Trend Analysis with Volatility and MomentumVolatility and Momentum Trend Analyzer
The Volatility and Momentum Trend Analyzer is a multi-faceted TradingView indicator designed to provide a comprehensive analysis of market trends, volatility, and momentum. It incorporates key features to identify trend direction (uptrend, downtrend, or sideways), visualize weekly support and resistance levels, and offer a detailed assessment of market strength and activity. Below is a breakdown of its functionality:
1. Input Parameters
The indicator provides customizable settings for precision and adaptability:
Volatility Lookback Period: Configurable period (default: 14) for calculating Average True Range (ATR), which measures market volatility.
Momentum Lookback Period: Configurable period (default: 14) for calculating the Rate of Change (ROC), which measures the speed and strength of price movements.
Support/Resistance Lookback Period: Configurable period (default: 7 weeks) to determine critical support and resistance levels based on weekly high and low prices.
2. Volatility Analysis (ATR)
The Average True Range (ATR) is calculated to quantify the market's volatility:
What It Does: ATR measures the average range of price movement over the specified lookback period.
Visualization: Plotted as a purple line in a separate panel below the price chart, with values amplified (multiplied by 10) for better visibility.
3. Momentum Analysis (ROC)
The Rate of Change (ROC) evaluates the momentum of price movements:
What It Does: ROC calculates the percentage change in closing prices over the specified lookback period, indicating the strength and direction of market moves.
Visualization: Plotted as a yellow line in a separate panel below the price chart, with values amplified (multiplied by 10) for better visibility.
4. Trend Detection
The indicator identifies the current market trend based on momentum and the position of the price relative to its moving average:
Uptrend: Occurs when momentum is positive, and the closing price is above the simple moving average (SMA) of the specified lookback period.
Downtrend: Occurs when momentum is negative, and the closing price is below the SMA.
Sideways Trend: Occurs when neither of the above conditions is met.
Visualization: The background of the price chart changes color to reflect the detected trend:
Green: Uptrend.
Red: Downtrend.
Gray: Sideways trend.
5. Weekly Support and Resistance
Critical levels are calculated based on weekly high and low prices:
Support: The lowest price observed over the last specified number of weeks.
Resistance: The highest price observed over the last specified number of weeks.
Visualization:
Blue Line: Indicates the support level.
Orange Line: Indicates the resistance level.
Both lines are displayed on the main price chart, dynamically updating as new data becomes available.
6. Alerts
The indicator provides configurable alerts for trend changes, helping traders stay informed without constant monitoring:
Uptrend Alert: Notifies when the market enters an uptrend.
Downtrend Alert: Notifies when the market enters a downtrend.
Sideways Alert: Notifies when the market moves sideways.
7. Key Use Cases
Trend Following: Identify and follow the dominant trend to capitalize on sustained price movements.
Volatility Assessment: Measure market activity to determine potential breakouts or quiet consolidation phases.
Support and Resistance: Highlight key levels where price is likely to react, assisting in decision-making for entries, exits, or stop-loss placement.
Momentum Tracking: Gauge the strength and speed of price moves to validate trends or anticipate reversals.
8. Visualization Summary
Main Chart:
Background color-coded for trend direction (green, red, gray).
Blue and orange lines for weekly support and resistance.
Lower Panels:
Purple line for volatility (ATR).
Yellow line for momentum (ROC).
RY-Parabolic Stop and ReverseParabolic Stop and Reverse with Support Resistance (PSAR-SR)
Identify dynamic support and resistance levels based on price movements.
Reduce false signals often generated by the regular PSAR.
Provide more accurate trading decisions by considering previous reversal points as support and resistance.
How Does PSAR-SR Work?
PSAR Reversal Points:
When the regular PSAR generates a reversal signal, the price at that reversal point is used as support (in an uptrend) or resistance (in a downtrend).
Support and Resistance Lines:
Support: A line drawn from the previous PSAR reversal point in an uptrend.
Resistance: A line drawn from the previous PSAR reversal point in a downtrend.
Price often moves sideways between these support and resistance levels before a breakout occurs.
Breakout Above/Below Support and Resistance:
A Buy signal is generated when the price breaks above resistance with a new candle closing above it.
A Sell signal is generated when the price breaks below support with a new candle closing below it.
Strategy Using PSAR-SR
Wait for the Breakout:
Avoid buying or selling immediately when the PSAR gives a signal.
Confirm that the price breaks past the support or resistance levels and forms a new candle outside those lines.
Use Alongside Other Indicators:
PSAR-SR is not recommended as a standalone tool. Use additional confirmation indicators such as:
Moving Average: To identify long-term trends.
RSI or MACD: To confirm momentum or overbought/oversold conditions.
Advantages of PSAR-SR
Reduces False Signals:
By focusing on previous support and resistance levels, PSAR-SR avoids invalid signals.
Helps Identify Breakouts:
It provides better insight for traders to enter the market during valid breakouts.
Limitations of PSAR-SR
Not Suitable for Sideways Markets:
If the price moves sideways for an extended period, the signals may become less effective.
Requires Additional Confirmation:
Should be used in combination with other indicators to improve accuracy.
Conclusion
PSAR-SR is a helpful tool for identifying dynamic support and resistance levels and generating buy/sell signals based on price breakouts. However, it should always be used with additional indicators for confirmation to avoid false trades.
Disclaimer:
Use this indicator at your own risk, and always perform additional analysis before making any trading decisions.
If you'd like further clarification or examples of how to apply this to a chart, feel free to ask! 😊
