Support & Resistance Trendlines with PP + Fib. Channel█ Support & Resistance Trendlines with Pivot Points + Fibonacci Channel
This script automatically draw support and resistance trend lines based on pivot points and add a fibonacci channel.
It will show potential patterns with the help of support and resistance lines as well as breakout target and pullback entry with the fibonacci extension and retracement levels.
It is based on atolelole's script, I only made it more configurable so please check out his script.
I added the possibility to change values and add additional retracement and extension levels.
I also made it customizable with the possibility to change lines color, width and style.
Cari dalam skrip untuk "support resistance"
PA Swings [TTA]Hello traders!
This script helps identify swing high levels of resistance and swing low levels of support via price action.
The indicator is designed to help identify support and resistance by measuring retracements. When the retracement has reached the threshold, the indicator identifies the high or low with a horizontal, solid line.
This line will continue until it is violated. Once it is violated it will adjust to a dashed line and continue until it is violated again (retested).
Therefore, a solid line resembles an unviolated swing level; a dashed line resembles a violated swing level that has yet to be retested.
Ideally, this script will filter some movements by identifying impulses in the market. Knowing that price is in a trending move rather than bouncing around in a range can help traders in their analysis. In range bound conditions the indicator will show small impulses, sometimes trapped by a support and/or resistance line. In trending markets there will be separation between the support and resistance lines.
Retests are also identified by the indicator.
Retests of swing highs and lows may induce precise, repeatable price moves - something a trader might find advantageous. A log is included to help identify potential price levels based on historical actions when an impulse or a retest occurs.
Consequently, this may help traders identify take-profit targets and avoid stop losses that are too close to the entry point.
The indicator has a color identity panel to help you get familiar with the colored lines, line types, and what they mean. The color panel is concealable. Additional customization options are available, such as toggling the chart labels. These labels distinguish impulses up and down, retests, and the distance price has traveled since breaking or creating a support or resistance level.
This can be toggled off. A High-Volume Swings only option is available for those that wish to filter out low volume movements (such as extended market hours).
You also have the option of hiding far away lines and can define what is “far away” for them % wise. It is defaulted to 15% which may need to be adjusted on lower timeframes.
Inactive lines can be shown or they can be removed in the settings as well. While this indicator can find some great levels of support or resistance it is important to remember that, should you find this script helpful, it is a tool in your toolbox!! (:
Hope you enjoy and thank you for checking this out!
Volume Adaptive Bollinger Bands (MZ VABB)This indicator is a functional enhancement to John Bollinger's Bollinger Bands. I've used Volume to adapt dynamic length which is used in basis (middle line) of Bollinger Bands and Simple Moving Average is replaced with Adaptive Ehlers Deviation Scaled Moving Average ( AEDSMA ).
BOLLINGER BANDS BASIC USAGE AND LIMITATIONS
Bollinger bands are popular among traders because of their simple way to detect volatility in market and redefine support and resistance accordingly. These are some basic usages of original Bollinger Bands:
Most commonly Bollinger Band works on 20 period Simple Moving Average as Basis / Middle Line and standard deviation of 2 for volatility detection.
Upper and lower bands can act as support and resistance which accordingly update with standard deviation of same period as of Simple Moving Average.
As upper and lower bands act as volatility measure which benefits in Squeeze detection and breakout trading.
Among all the usages there are some limitations as follows:
Original Bollinger Bands use 20 period Simple Moving Average as Basis which itself restricted to some number of data pints and if market moves in one direction or simply goes sideways for long time; candles can stay on either bands for long time. This gives benefit for staying in directional trade but will completely nullify the use of both bands as support and resistance.
Above point simply be explained as markets can stay overbought / oversold for long time and one way to make Bollinger Bands more useful is to simply use higher periods in SMA but as we know with higher periods SMA becomes more laggy and less adaptive.
Most traders use BBs alongside some other Volume Oscillator for example "On Balance Volume" but that does solve BBs limitations issue that it should be more adaptive to detect volatility in market.
VOLUME ADAPTIVE BOLLINGER BAND WORKING PRINCIPLE
Best way to make original Bollinger band more adaptive was to just use dynamic length instead on constant 20 period. This dynamic length had to be based on some other powerful parameter which can't be volatility as BB itself is a volatility indicator and adapting its length based volatility would have been superimposing volatility on Bollinger bands giving unrealistic results.
For adaptive length, I tried using Volume and for this purpose I used my Relative Volume Strength Index " RVSI " indicator. RVSI is the best way to detect if Volume is going for a breakout or not and based on that indication length of Bollinger Band Basis Moving Average changes.
RVSI breaking above provided value would indicate Volume breakout and hence dynamic length would accordingly make Bollinger band basis moving average more over fitted and similarly standard deviation of achieved dynamic length would give better bands for support and resistance. Similar case would happen if Volume goes down and dynamic length becomes more underfit.
According to my back testing studies I found that Simple Moving Average wasn't the best choice for dynamic length usage in Bollinger Band Basis. So, I used Adaptive Ehlers Deviation Scaled Moving Average ( AEDSMA ) which is more adaptive and already modified to adapt with RVSI.
SLOPE USAGE FOR TREND STRENGTH DETCTION
Volume Adaptive Bollinger Bands are more reactive to market trends so, I used slope for trend strength detection.
If slope of Volume Adaptive Bollinger Band Basis (i.e. AEDSMA ), Upper and Lower Bands is supporting a trend at same time then script will provide signal in that direction. That signal can also use Volume as confirmation if Bollinger Bands trend direction is supported by Volume or not.
DYNAMIC COLORS AND TREND CORRELATION
I’ve used dynamic coloring in Basis ( AEDSMA ) to identify trends with more detail which are as follows:
Lime Color: Slope supported Strong Uptrend also supported by Volume and Volatility or whatever you’ve chosen from both of them.
Fuchsia Color: Weak uptrend only supported by Slope or whatever you’ve selected.
Red Color: Slope supported Strong Downtrend also supported by Volume and Volatility or whatever you’ve chosen from both of them.
Grey Color: Weak Downtrend only supported by Slope or whatever you’ve selected.
Yellow Color: Possible reversal indication by Slope if enabled. Market is either sideways, consolidating or showing choppiness during that period.
SIGNALS
Green Circle: Market good for long with support of Volume and Volatility or whatever you’ve chosen from both of them.
Red Circle: Market good to short with support from Volume and Volatility or whatever you’ve chosen from both of them.
Flag: Market either touched upper or lower band and can act as good TP and warning for reversal.
FIBONACCI BANDS
I’ve included Fibonacci multiple bands which would act as good support/resistance zones. For example, 0.618 Fib level act as good local support and resistance in both upper and lower zones. Fibonacci values can be modified but should be lower than 1.
DEFAULT SETTINGS
I’ve set default Minimum length to 50 and Maximum length to 100 which I’ve found works best for almost all timeframes but you can change this delta to adapt your timeframe accordingly with more precision.
Dynamic length adoption is enabled based on Volume only but volatility can be selected which is already explained above.
Trend signals are enabled based on Slope and Volume but Volatility can be enabled for more precise confirmations.
In “ RVSI ” settings "Klinger Volume Oscillator" is set to default but others work good too especially Volume Zone Oscillator. For more details about Volume Breakout you can check “MZ RVSI Indicator".
ATR breakout is set to be positive if period 14 exceeds period 46 but can be changed if more adaption with volatility is required.
EDSMA super smoother filter length is set to 20 which can be increased to 50 or more for better smoothing but this will also change slope results accordingly.
EDSMA super smoother filter poles are set to 2 because found better results with 2 instead of 3.
FURTHER ENHANCEMENTS
So far, I've achieved better results with "Klinger Volume Oscillator" in RVSI but TFS Volume Oscillator and On Balance Volume can be used which would change dynamic length differently. It doesn't mean that results would be wrong with some oscillator and precise with others but every oscillator works in its specific way for and RVSI just detect strength of Volume based on provided oscillator.
FIBS S/R IndicatorHello,
I've decided to publish a new script. The previous version of this script was removed by admins for breaking community rules.
So I present to you the Fibonacci Support / Resistance.
1. How does it work
Ratio plots
I first take the input of pivot look back and search for pivots high and low.
And then it takes a second look back to search highest high and lowest low to establish the top bottom range.
Then using the top and bottom I plot ratios provided as input. Defaults to most relevant 5 ratios I've found (Fibonacci):
Ratio 0 = 0 - can't be changed
Ratio 1 = 0.5
Ratio 2 = 0.618
Ratio 3 = 1
Ratio 4 = 1.618
Ratio 5 = 2.618
Any changes done to these ratios should be in order, otherwise conditions could get messed up. So R1 needs to the lowest and R5 the highest.
Also the same ratios are used in reverse as negative ratios.
There is a option to plot all ratios but gets really confusing for me but maybe for you it works. By default there are certain conditions set so that as we go up new resistance ratio get displayed and as we go down we see new resistance plots.
Trendlines
I've also added some automatic trendline plots with breakout warning labels based on the pivots high and low. Start and end for trendlines can be changed via inputs.
Labels can be deactivated via input. On a older version the trendlines and labels where not removed from the chart but I felt like there was to much information.
Overcooked/Undercooked
I've also added some fills and background colors that indicate if the price action is over R5 or under Negative R5 ratios. This usually indicates some "overcooking" or "undecooking".
I've notices that after "crossunder"/"crossover" top bottom ratios it goes in consolidation or it dumps. So then I plot a bgcolor to signal that.
2. How to use it
Using plot lines we can determine where we have support and resistance. I found that the best way to use the default ratios values is on the 1H chart. Very good for trading on crypto because of current situation in the market where there is a lot of new people entering the space and volatility and sentiment make swings respect the Fibonacci ratios.
3. Examples
For instance lets look at BINANCE:BTCUSDT .
On the left we see that the price action between 20 and 21 February was "overcooked". So after we got the signal that we "crossunder" the R5 the signal was triggered and we got a small red candle followed by a small dip and after that we got a small bounce and a dump.
If we also look at MF-RSI we can also see we got multiple bear divs.
Lets entertain the idea that we went short at ~57.1k as soon as we get signaled and it starts dumping.
Where does it stop ?
We can see it went all the way down to Negative R5 ratio. Normally that should signal "undercooking" but this was not triggered as it did not close under it (signaled in green).
We can also see that previous support now becomes resistance (signaled in red).
If we take a look at BINANCE:ETHUSDT , we do see that the "undercooking" was triggered here.
I will be publishing a more detailed Idea with examples of using this on the BINANCE:BTCUSDT chart in combination with Volume and other technical analysis.
Use with caution, this is not 100% signal indicator as the markets do what they want. But by using this in combination with other indicators like MF-RSI, EMAs and regular patterns we can get some targets for Support/Resistance.
I'm trying to create a strategy based on this indicator but I'm not getting very good results. Best results were on the 15 min chart with gross profits around ~50%.
Please try to play around with the inputs and let me know if you find something interesting, maybe I can incorporate new features in the indicator.
You can find the MF-RSI indicator here
Price Action - Support & Resistance by DGTSᴜᴘᴘᴏʀᴛ ᴀɴᴅ Rᴇꜱɪꜱᴛᴀɴᴄᴇ , is undoubtedly one of the key concepts of technical analysis
█ Sᴜᴘᴘᴏʀᴛ ᴀɴᴅ Rᴇꜱɪꜱᴛᴀɴᴄᴇ Dᴇꜰɪɴɪᴛɪᴏɴ
Support and Resistance terms are used by traders to refer to price levels on charts that tend to act as barriers, preventing the price of an financial instrument from getting pushed in a certain direction.
A support level is a price level where buyers are more aggressive than sellers. This means that the price is more likely to "bounce" off this level rather than break through it. However, once the price has breached this level it is likely to continue falling until meeting another support level.
A resistance level is the opposite of a support level. It is where the price tends to find resistance as it rises. Again, this means that the price is more likely to "bounce" off this level rather than break through it. However, once the price has breached this level it is likely to continue rising until meeting another resistance level.
A previous support level will sometimes become a resistance level when the price attempts to move back up, and conversely, a resistance level will become a support level as the price temporarily falls back.
█ Iᴅᴇɴᴛɪꜰʏɪɴɢ Sᴜᴘᴘᴏʀᴛ ᴀɴᴅ Rᴇꜱɪꜱᴛᴀɴᴄᴇ
Support and resistance can come in various forms, and the concept is more difficult to master than it first appears. Identification of key support and resistance levels is an essential ingredient to successful technical analysis.
If the price stalls and reverses in the same price area on minimum of two different occasions, then a horizontal line is drawn to show that the market is struggling to move past that area. Those areas are static barriers, one of the most popular forms of support/resistance and are highlighted with horizontal lines.
Repeated test , the more often a support/resistance level is "tested" over an extended period of time (touched and bounced off by price), the more significance is given to that specific level
High volume , the more buying and selling that has occurred at a particular price level, the stronger the support or resistance level is likely to be
Market psychology , plays a major role as traders and investors remember the past and react to changing conditions to anticipate future market movement.
Psychological levels , is a price level that significantly affects the price of an underlying financial instrument. Typically, near round numbers often serve as support and resistance
The following support and resistance related topics are beyond the scope of this study, so they will be mentioned roughly only as a reference for support and resistance concept
Trendlines , Support and resistance levels in trends are dynamic. Throughout an uptrend, levels of support tend to look like a trendline, usually clustering around higher lows. As the price rises, the price where buyers consider the stock to be “too cheap” also changes, which creates new support levels on the way up. The same is also true for resistance levels. In an uptrend, a stock is continuously breaking through perceived resistance levels and making new highs
Moving Averages , is a constantly changing line that smooths out past price data while also allowing the trader to identify support and resistance. In the example Notice how the price of the asset finds support at the moving average when the trend is up, and how it acts as resistance when the trend is down
The Fibonacci Retracement/Extension tool , is a favorite among many short-term traders because it clearly identifies levels of potential support and resistance
Pivot Point Calculations , is another common technical analysis technique, where pivot point is calculated based on the high, low, and closing prices of previous trading session/day and support & resistance levels are projected based on the pivot point, different calculation techniques are available, as presented in this example of an pivot point indicator : PVTvX by DGT
█ Tʀᴀᴅɪɴɢ Bᴀꜱᴇᴅ ᴏɴ Sᴜᴘᴘᴏʀᴛ ᴀɴᴅ Rᴇꜱɪꜱᴛᴀɴᴄᴇ
Once an area or "zone" of support or resistance has been identified, those price levels can serve as potential entry or exit points because, as a price reaches a point of support or resistance, it will do one of two things—bounce back away from the support or resistance level (trading ranges), or violate the price level and continue in its direction (trading breakouts) —until it hits the next support or resistance level
The basic trading method for using support and resistance is to buy near support in uptrends or the parts of ranges or chart patterns where prices are moving up and to sell/sell short near resistance in downtrends or the parts of ranges and chart patterns where prices are moving down. Buying near support or selling near resistance can pay off, but there is no assurance that the support or resistance will hold. Therefore, consider waiting for some confirmation that the market is still respecting that area
Trading breakouts, a breakout is a potential trading opportunity that occurs when an asset's price moves above a resistance level or moves below a support level on increasing volume. The first step in trading breakouts is to identify current price trend patterns along with support and resistance levels in order to plan possible entry and exit points. Once the asset trades beyond the price barrier, volatility tends to increase and prices usually trend in the breakout's direction. Breakouts are such an important trading strategy since these setups are the starting point for future volatility increases, large price swings and, in many circumstances, major price trends. When trading breakouts, it is important to consider the underlying asset's support and resistance levels. The more times an asset price has touched these areas, the more valid these levels are and the more important they become. At the same time, the longer these support and resistance levels have been in play, the better the outcome when the asset price finally breaks out. Asset prices will often move slightly further than we expect them to. This doesn't happen all the time, but when it does it is called a false breakout. Therefore it is important to consider waiting for some confirmation while trading breakouts. It’s also popular for traders to sell 50% of their positions at the resistance level, and hold the rest in anticipation of a breakout above resistance
█ Pʀɪᴄᴇ Aᴄᴛɪᴏɴ - Sᴜᴘᴘᴏʀᴛ & Rᴇꜱɪꜱᴛᴀɴᴄᴇ ʙʏ DGT Sᴛᴜᴅʏ
This experimental study attempts to identify the support and resistance levels. Assumes a simple logic to discover moments where the price is rising or falling consecutively for minimum 3 bars with the condition volume increases on each bar and the last bar’s volume should be bigger than the long term volume moving average. A line will be drawn at the end of the move (highest or lowest, depending on the move direction), the line will be drawn at minimum on the 3rd bar and if condition holds for other consecutive bars the line will switch to 4th, 5th etc bar.
Lines will not be deleted so the historical ones will remain and will emphasis the levels significance when they overlap in feature. Strong levels are more likely to hold and cause the price to move in the other direction, whereas the minor levels may only cause the price to pause and keep moving in the same direction. Determining future levels of support and resistance can drastically improve the returns of a short-term investing strategy
Bar colors will be painted based on the volume of the specific bar to its long term volume moving average. This will help identifying the support and resistance levels significance and emphasis the sings of breakouts
Finally, Volume spikes will be marked on top of the price chart. A high volume usually indicates more interest in the security and the presence of institutional traders. However, a rapidly rising price in an uptrend accompanied by a huge volume may be a sign of exhaustion. Traders usually look for breaks of support and resistance to enter positions. When security break critical levels without volume , you should consider the breakout suspect and prime for a reversal off the highs/lows. Volume spikes are often the result of news-driven events. Volume spike will often lead to sharp reversals since the moves are unsustainable due to the imbalance of supply and demand
A good example with many support and resistance concepts observed on a stock chart and detected by the study
Settings:
Length of volume moving average, where volume moving average is used to detect support and resistance levels, is used as reference to compare with threshold values for volume spikes and colors of the bars
Hint, to get more historical lines scrolling chart to left will enable visualization of them. Please note they may appear to much all 500 line limit is used 😉
Special thanks to @HEMANT Telegram user, for his observations and suggestions
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Efficient Support & Resistance LevelsThis script is a mixture of my two previous scripts "True Strong Classical Support/Resistance Levels" and "Hidden Supports & Resistances + Round Levels". This combination brings on better identification of the most efficient support/resistance levels.
Note that "Hidden SnR Levels" part of the code is only expected to work on Forex charts, but apart from that, the other parts could be applied to any chart.
The script may:
- Draw classical support/resistance levels which retraced the price previously, aided by multi-timeframe analysis
- Draw hidden support/resistance levels based on psychological patterns of the price
- Adjust to wicks better than Pine Script built-in pivot functions
- Differ the levels color based on chart reactions
- Merge nearby classical levels to avoid congestion on the chart
Feel free to use it and send me your thoughts.
[PX] External LevelHello everyone,
today I'd like to share a script, which enables you to use external logic to plot levels on your chart.
How does it work?
The concept is based on two scripts. One script, which uses an external input as a trigger to print a new level and one script that calculates an output, which will be fetched.
Sounds complicated? It really is not! Let's take a closer look.
// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © paaax
//@version=4
study("RSI OS/OB")
l = input(14, "RSI Length")
ob = input(70, "Overbought")
os = input(30, "Oversold")
r = rsi(close, l)
hline(ob)
hline(os)
plot(r, "RSI", color=color.orange)
// The following plot produces an output, which will be fetched the "External Level"-script.
// It evaluates to one of the following three values: 1.0, -1.0 or 0.0
plot(crossover(r, ob) ? 1.0 : crossunder(r, os) ? -1.0 : 0.0, "Output", transp=100)
The example script above uses an RSI and two threshold levels (70 and 30). The logic here is, that whenever the RSI is crossing down the lower threshold or crossing up the upper threshold we'd consider the current movement to be either oversold or overbought. Therefore, it's a point of interest, which we could visualize with a level.
The script creates an output when the crossover or crossunder of a threshold happens. A crossover would result in a value of 1.0, a crossunder in a value of -1.0. In all other cases the value would be 0.0.
The output of the RSI script would then be used as an input of the External Level script, which has a "Source"-parameter in its input-section. If the fetched input shows 1.0, then the script prints a resistance level. If it shows -1.0 a support level will be printed. And that's basically it. A very simple approach to print levels on your chart with an infinite number of use cases.
For example, you could use fetch outputs from a MACD script, MA script, outputs based on volume or price movement. Just remember the output has to evaluate to either 1.0 or -1.0 and has to be selected in the input-section.
Hope that might be useful to some of you :)
Please click the "Like"-button and follow me for future open-source script publications.
If you are looking for help with your custom PineScript development, don't hesitate to contact me directly here on Tradingview or through the link in my signature :)
[fikira] Fibonacci MA / EMA's (Fibma / Fibema)I've made SMA/EMA's NOT based on the principle of the 2(1+1), 3(2+1),
5(3+2), 8(5+3), 13(8+5), 21(13+8), 34(21+13), 55(34+21), ... numbers,
but based on these following Fibonacci numbers:
0,236
0,382
0,500
0,618
0,764
1
Ending up with 2 series of Fibma / Fibema:
"Tiny Fibma / Fibema":
24, 38, 50, 62, 76, 100
"Big Fibma / Fibema":
236, 382, 500, 618, 764, 1000
IMHO it is striking how these lines often act as Resistance/Support,
although (except the 50, 100 & 500) they are not typical MA/EMA's.
They perform very well on every Timeframe as well!
Week:
3 Days:
1 Day:
4h:
1h:
Even on the 15 minutes:
Or 5':
Things to watch for:
Price compared to the Tiny or Big Fibma / Fibema (below or above)
Price compared to important Fibma / Fibema (for example below or
above MA 236, MA 764, MA 1000, ...)
Crossing of Fibma / Fibema 24/76, 236/764 and 38/62, 382/618
(bullish crossover = Lime coloured "cloud", bearish crossunder = Red coloured "cloud"),
...
I've made a change in barcolor if the close crosses the "Big Fibma / Fibema 500"
If price closes above MA/EMA 500, the first bar is yellow coloured,
if price stays above this level, candles are coloured lime/orange (= very bullish)
If price closes under MA/EMA 500, the first bar is purple,
if price stays under this level, candles are standard coloured (= very bearish)
Strategy will follow,
Thanks!
SOLARIZED PERSISTENT S/R LINESSupport and Resistance Lines Persist until new S/R lines are established.
T3 Moving Average with Multiple EMAsT3 Moving Average with Multiple EMAs
Short Title: T3 + EMAs
Overview
The T3 Moving Average with Multiple EMAs is a versatile trend-following indicator that combines the smooth, adaptive T3 Moving Average with eight customizable multi-timeframe Exponential Moving Averages (EMAs). Designed for traders seeking clarity in trend direction and momentum, this indicator overlays on the price chart to highlight dynamic support/resistance levels and trend alignment across multiple timeframes.
Key Features
T3 Moving Average: A highly responsive, smoothed moving average (default: 9-period, 0.7 volume factor) that reduces lag while maintaining accuracy, ideal for identifying short-term trends and reversals.
Eight Multi-Timeframe EMAs: Plots eight EMAs (default lengths: 8, 13, 21, 34, 55, 89, 144, 233) sourced from user-defined timeframes (e.g., 1m, 5m, 15m, 1h, 4h), providing a comprehensive view of short-, medium-, and long-term trends.
Customizable Timeframes: Each EMA can be independently set to a specific timeframe, allowing traders to analyze cross-timeframe trend alignment.
Theme Support: Offers "Dark" and "Light" themes with optimized colors for visual clarity and chart compatibility.
Flexible Parameters: Adjust T3 length, volume factor, EMA lengths, and timeframes to suit various markets and trading styles (scalping, swing trading, or long-term investing).
How It Works
The T3 Moving Average is calculated using a multi-stage EMA formula weighted by a volume factor, offering smoother trend tracking than traditional EMAs. The eight EMAs, sourced from higher or lower timeframes using request.security, provide a layered perspective on price trends. Faster EMAs (e.g., 8, 13) react to short-term price movements, while slower EMAs (e.g., 144, 233) reflect longer-term trends. The indicator plots all lines on the price chart with distinct, theme-adjusted colors for easy identification.
Usage
Trend Identification: Use the T3 MA for short-term trend signals and the EMAs to confirm broader trend direction. A price above multiple EMAs suggests a bullish trend; below indicates bearish.
EMA Crossovers: Watch for crossovers between faster and slower EMAs (e.g., 8 crossing 21) for potential entry/exit signals.
Support/Resistance: Treat slower EMAs (e.g., 89, 144) as dynamic support/resistance levels, especially on higher timeframes.
Timeframe Alignment: Align trades with the trend direction of higher-timeframe EMAs for higher-probability setups.
Customization: Adjust T3 and EMA settings to match your trading style or asset volatility.
Settings
T3 Parameters:
Length (default: 9): Period for T3 calculation.
Volume Factor (default: 0.7): Controls T3 smoothness (0.1–1.0).
EMA Parameters:
Lengths (default: 8, 13, 21, 34, 55, 89, 144, 233): Period for each EMA.
Timeframes (default: 5m, 5m, 15m, 15m, 1h, 1h, 4h, 4h): Select from 1m, 5m, 15m, 30m, 1h, 4h, D, W, or M.
Theme: Choose "Dark" (vibrant colors) or "Light" (softer colors) for chart compatibility.
Notes
Combine with other tools (e.g., RSI, support/resistance, or volume) for confirmation.
Optimize settings for specific markets (e.g., crypto, forex, stocks) or timeframes.
The indicator is overlayed on the price chart for seamless integration with price action analysis.
Author’s Note
This indicator was designed to provide traders with a clear, multi-timeframe perspective on trends using the T3 MA and EMAs. Feedback is welcome to enhance this tool for the TradingView community!
EMA Cloud 200 High/Close с цветом трендаEMA Cloud 200 High/Close with Trend Color
Overview
This indicator creates a dynamic EMA cloud between two Exponential Moving Averages calculated from different price sources, providing clear visual trend identification and support/resistance zones.
Key Features
Dual EMA System: Upper EMA based on High prices, Lower EMA based on Close prices
Custom Timeframe: Analyze EMA on any timeframe regardless of chart timeframe
Dynamic Trend Coloring: Green for uptrend, Red for downtrend
Visual Cloud: Filled area between EMAs highlights price zones
Configurable Period: Default 200-period EMA (adjustable)
How It Works
The indicator calculates two separate 200-period EMAs:
Upper EMA: Based on High prices - shows resistance levels
Lower EMA: Based on Close prices - shows support levels
Trend Detection:
Current price above average EMA = Green (Bullish)
Current price below average EMA = Red (Bearish)
Trading Applications
Trend Identification: Color changes indicate trend shifts
Support/Resistance: Cloud boundaries act as dynamic S/R zones
Entry/Exit Points: Price interaction with cloud edges
Multi-timeframe Analysis: View higher timeframe EMAs on lower timeframe charts
Settings
EMA Period: Adjust calculation period (default: 200)
Top Source: Price source for upper EMA (default: High)
Bottom Source: Price source for lower EMA (default: Close)
Custom Timeframe: Choose analysis timeframe (default: 15min)
Best Practices
Use on trending markets for optimal results
Combine with other indicators for confirmation
Higher timeframes provide stronger signals
Cloud thickness indicates volatility levels
Perfect for swing traders and trend followers seeking clear visual trend analysis with dynamic support/resistance identification.
TTP-BB-vwap-PivotTTP-BB-Vwap-Pivot is a comprehensive all-in-one technical analysis indicator designed specifically for intraday traders. This powerful tool combines multiple essential indicators in a single, customizable package, eliminating the need to clutter your chart with separate indicators.
🎯 Key Features
📈 Bollinger Bands
Fully Customizable: Adjust length (default: 20) and multiplier (default: 2.0)
Source Selection: Choose from Open, High, Low, Close, HL2, HLC3, OHLC4
Visual Fill: Semi-transparent band fill for better visualization
Toggle Control: Easy on/off switch
💰 VWAP (Volume Weighted Average Price)
Intraday Focus: Perfect for identifying institutional price levels
Source Customization: Default HLC3 with options for other price sources
Clear Visualization: Prominent white line for easy identification
Toggle Control: Show/hide as needed
🎪 Standard Pivot Points
Complete Pivot System: Shows Pivot Point + 3 Resistance (R1-R3) + 3 Support (S1-S3) levels
Timeframe Flexibility: Default daily pivots with customizable timeframe
Colour Coded: Yellow for Pivot Point, Red for Resistance, Green for Support
Value Labels: Exact price values displayed on the right
Toggle Control: Enable/disable entire pivot system
📊 Multiple EMA System (5 EMAs Available)
EMA 1: 9-period (Blue) - Short-term trend
EMA 2: 21-period (Red) - Medium-term trend
EMA 3: 50-period (Orange) - Long-term trend
EMA 4: 100-period (Purple) - Major trend
EMA 5: 200-period (Yellow) - Primary trend
Each EMA Features:
Individual toggle switches
Customizable period lengths
Source selection options
Colour customization
Independent control
🚨 Built-in Alerts
Price crossing above/below EMA1
Price crossing above/below VWAP
Easy alert setup for key signal points
🎛️ User-Friendly Interface
Organized Input Groups: All settings categorized for easy navigation
Individual Controls: Turn any indicator on/off independently
Clean Design: Optimized to avoid chart clutter
Performance Optimized: Efficient code for smooth operation
📈 Perfect For:
Day Traders: Quick intraday signals and levels
Swing Traders: Multiple timeframe analysis
Scalpers: Fast entry/exit points
All Skill Levels: From beginners to professionals
🔧 How to Use:
Add the indicator to your chart
Access settings through the indicator's style/inputs panel
Enable/disable indicators based on your trading strategy
Customize colours, periods, and sources to match your preferences
Set up alerts for key crossover signals
💡 Trading Applications:
Trend Identification: Multiple EMA crossovers
Support/Resistance: Pivot points and Bollinger Bands
Entry/Exit Signals: VWAP and EMA interactions
Risk Management: Clear levels for stop-loss placement
Market Structure: Institutional levels via VWAP and Pivots
⚡ Why Choose TTP-BB-Vwap-Pivot?
All-in-One Solution: No need for multiple separate indicators
Highly Customizable: Adapt to any trading style
Performance Optimized: Smooth operation without lag
Clean Interface: Organized settings and clear visuals
Beginner Friendly: Easy to understand and implement
Professional Grade: Suitable for serious traders
🛠️ Technical Specifications:
Pine Script v6
Overlay indicator
Optimized for all timeframes (especially intraday)
Compatible with all asset classes
No repainting
Real-time calculations
Transform your trading with TTP-BB-Vwap-Pivot - The ultimate technical analysis companion for modern traders!
Like and follow for more powerful trading tools and updates!
Money NoodleMoney Noodle Indicator - How It Works
The Money Noodle indicator is a trend-following and support/resistance tool that combines multiple exponential moving averages (EMAs) with dynamic volatility-based bands to create a comprehensive trading system.
Core Components
1. Triple EMA System ("The Noodles")
Fast EMA (12): Most responsive to price changes, shows short-term momentum
Medium EMA (21): Intermediate trend direction
Slow EMA (35): Main trend line that acts as the central reference point
The "noodle" effect comes from how these three EMAs weave around each other and the price action, creating curved, flowing lines that resemble noodles.
2. Dynamic Volatility Bands
Upper Band: Main EMA + (ATR × Band Multiplier)
Lower Band: Main EMA - (ATR × Band Multiplier)
Uses a 20-period ATR (Average True Range) to measure market volatility
Band width automatically adjusts - wider during volatile periods, tighter during consolidation
How It Functions
Trend Identification:
When all three EMAs are aligned (fast > medium > slow), it indicates a strong uptrend
When EMAs are inverted (fast < medium < slow), it signals a downtrend
EMA crossovers provide early trend change signals
Support & Resistance:
The bands act as dynamic support and resistance levels
Price tends to bounce off the bands during trending markets
Band breaks often signal strong momentum moves or trend changes
Volatility Assessment:
Band width indicates market volatility - wider bands = higher volatility
ATR-based calculation makes the bands adaptive to current market conditions
The 0.0125 multiplier provides optimal sensitivity for most timeframes
Trading Applications
Entry Signals:
Buy when price bounces off the lower band with EMA alignment
Sell when price bounces off the upper band against the trend
Breakout trades when price decisively breaks through bands
Trend Following:
Use the main EMA (35) as your trend filter
Trade in the direction of EMA alignment
The "noodles" help identify trend strength - tighter = stronger trend
Risk Management:
Bands provide natural stop-loss levels
Band width helps size positions (wider bands = smaller size due to higher volatility)
The indicator works best on daily timeframes and provides a visual, intuitive way to read market structure, trend direction, and volatility all in one tool.
Murrey Math Lines v6Murrey Math Lines v6
This is not just another Murrey Math indicator. It's a complete, ground-up modernization of the classic concept, rebuilt with the latest Pine Script features for unparalleled performance, accuracy, and usability. While preserving the core mathematical genius of T.H. Murrey's system, this version introduces a suite of modern tools designed for today's trader.
What are Murrey Math Lines?
Murrey Math Lines (MML) are a powerful system of support and resistance based on geometric formulas developed by T.H. Murrey. As a derivation of W.D. Gann's observations, Murrey's geometry simplifies Gann's theories into a more accessible application. The core principle is that price action tends to trend and retrace in 1/8th intervals.
These intervals create a "trading octave" with distinct levels, each having its own characteristic behavior:
& - Ultimate Resistance & Support: These lines are the hardest to break. They represent the top and bottom of the expected price range and are prime areas for reversals.
- Major Pivot: This is the most significant level, offering the strongest support and resistance within the octave. Price has a high probability of stopping and reversing here.
& - Strong Pivot/Reversal: These are strong, secondary pivot points where price often struggles to pass through.
& - The Trading Range: The price tends to consolidate between these two lines about 50% of the time. A decisive break outside this range often signals the start of a new trend.
& - Weak Support/Resistance: These levels are weaker, but when price moves too quickly towards them, they can act as initial stopping points or areas for a minor reversal.
& - Extended Octave: These lines show extreme overbought and oversold conditions beyond the primary 0/8 to 8/8 octave.
Modern Enhancements in This Version
Session-Locked Precision: Anchor the Murrey Lines to the start of a specific trading session (e.g., NYSE open). The levels remain constant for the entire session, providing a stable and reliable framework for your daily analysis.
Visual Trading & Reversal Zones: Instead of just lines, this indicator can fill the key trading range (3/8 to 5/8) and reversal zones (0/8-1/8 & 7/8-8/8) with color, giving you an instant visual reference of market sentiment.
Dynamic "Closest Price" Labels: Declutter your chart! The indicator can intelligently display only the label for the Murrey level closest to the current price, keeping your view clean while providing critical information at a glance.
Integrated Alert System: Never miss a key level touch again. Set up alerts for when the price approaches major lines, the trading range, or all lines, customized to your trading style.
Advanced Pine Script Engine: Built on a modern codebase using User-Defined Types and dynamic drawing objects (line, box, label). This ensures the indicator is fast, efficient, and non-repainting, even on lower timeframes.
Intuitive User Interface: Settings are neatly organized into collapsible groups with clear tooltips, making it incredibly easy to customize every aspect of the indicator, from calculation parameters to colors.
A Note on Accuracy
Some of the other Murrey Math indicators on TradingView use different formulas and therefore produce varying results. This version has been carefully checked against MML indicators on other professional platforms to ensure its calculations are accurate and reliable.
Credits
This indicator is a complete overhaul and modernization of the original "MM Lines " script. Full credit for the original calculation logic and concept goes to its author, JRL_6.
BACAP PRICE STRUCTURE 21 EMA TREND21dma-STRUCTURE
Overview
The 21dma-STRUCTURE indicator is a sophisticated overlay indicator that visualizes price action relative to a triple 21-period exponential moving average structure. Originally developed by BalarezoCapital and enhanced by PrimeTrading, this indicator provides clear visual cues for trend direction and momentum through dynamic bar coloring and EMA structure analysis.
Key Features
Triple EMA Structure
- 21 EMA High: Tracks the exponential moving average of high prices
- 21 EMA Close: Tracks the exponential moving average of closing prices
- 21 EMA Low: Tracks the exponential moving average of low prices
- Dynamic Cloud: Gray fill between high and low EMAs for visual structure reference
Smart Bar Coloring System
- Blue Bars: Price closes above all three EMAs (strong bullish momentum)
- Pink Bars: Daily high falls below the lowest EMA (strong bearish signal)
- Gray Bars: Neutral conditions or transitional phases
- Color Memory: Maintains previous color until new condition is met
Dynamic Center Line
- Trend-Following Color: Green when all EMAs are rising, red when all are falling
- Color Persistence: Maintains trend color during sideways movement
- Visual Clarity: Thicker center line for easy trend identification
Customizable Visual Elements
- Adjustable line thickness for all EMA plots
- Customizable colors for bullish and bearish conditions
- Configurable trend colors for uptrend and downtrend phases
- Optional bar color changes with toggle control
How to Use
Trend Identification
- Rising Green Center Line: All EMAs trending upward (bullish structure)
- Falling Red Center Line: All EMAs trending downward (bearish structure)
- Flat Center Line: Maintains last trend color during consolidation
Momentum Analysis
- Blue Bars: Strong bullish momentum with price above entire EMA structure
- Pink Bars: Strong bearish momentum with high below lowest EMA
- Gray Bars: Neutral or transitional momentum phases
Entry and Exit Signals
- Bullish Setup: Look for blue bars during green center line periods
- Bearish Setup: Look for pink bars during red center line periods
- Exit Consideration: Watch for color changes as potential momentum shifts
Structure Trading
- Support/Resistance: Use EMA cloud as dynamic support and resistance zones
- Breakout Confirmation: Bar color changes can confirm structure breakouts
- Trend Continuation: Color persistence suggests ongoing momentum
Settings
Visual Customization
- Change Bar Color: Toggle to enable/disable bar coloring
- Line Size: Adjust thickness of EMA lines (default: 3)
- Bullish Candle Color: Customize blue bar color
- Bearish Candle Color: Customize pink bar color
Trend Colors
- Uptrend Color: Color for rising EMA center line (default: green)
- Downtrend Color: Color for falling EMA center line (default: red)
- Cloud Color: Fill color between high and low EMAs (default: gray)
Advanced Features
Modified Bar Logic
Unlike traditional EMA systems, this indicator uses refined conditions:
- Bullish signals require close above ALL three EMAs
- Bearish signals require high below the LOWEST EMA
- Enhanced precision reduces false signals compared to single EMA systems
Trend Memory System
- Intelligent color persistence during sideways movement
- Reduces noise from minor EMA fluctuations
- Maintains trend context during consolidation periods
Performance Optimization
- Efficient calculation methods for real-time performance
- Clean visual design that doesn't clutter charts
- Compatible with all timeframes and instruments
Best Practices
Multi-Timeframe Analysis
- Use higher timeframes to identify overall trend direction
- Apply on multiple timeframes for confluence
- Combine with weekly/monthly charts for position trading
Risk Management
- Use bar color changes as early warning signals
- Consider position sizing based on EMA structure strength
- Set stops relative to EMA support/resistance levels
Combination Strategies
- Pair with volume indicators for confirmation
- Use alongside RSI or MACD for momentum confirmation
- Combine with key support/resistance levels
Market Context
- More effective in trending markets than choppy conditions
- Consider overall market environment and sector strength
- Adjust expectations during high volatility periods
Technical Specifications
- Based on 21-period exponential moving averages
- Uses Pine Script v6 for optimal performance
- Overlay indicator that works with any chart type
- Maximum 500 lines for clean performance
Ideal Applications
- Swing trading on daily charts
- Position trading on weekly charts
- Intraday momentum trading (adjust timeframe accordingly)
- Trend following strategies
- Structure-based trading approaches
Disclaimer
This indicator is for educational and informational purposes only. It should not be used as the sole basis for trading decisions. Always combine with other forms of analysis, proper risk management, and consider your individual trading plan and risk tolerance.
Compatible with Pine Script v6 | Works on all timeframes | Optimized for trending markets
(Mustang Algo) Stochastic RSI + Triple EMAStochastic RSI + Triple EMA (StochTEMA)
Overview
The Stochastic RSI + Triple EMA indicator combines the Stochastic RSI oscillator with a Triple Exponential Moving Average (TEMA) overlay to generate clear buy and sell signals on the price chart. By measuring RSI overbought/oversold conditions and confirming trend direction with TEMA, this tool helps traders identify high-probability entries and exits while filtering out noise in choppy markets.
Key Features
Stochastic RSI Calculation
Computes a standard RSI over a user-defined period (default 50).
Applies a Stochastic oscillator to the RSI values over a second user-defined period (default 50).
Smooths the %K line by taking an SMA over a third input (default 3), and %D is an SMA of %K over another input (default 3).
Defines oversold when both %K and %D are below 20, and overbought when both are above 80.
Triple EMA (TEMA)
Calculates three successive EMAs on the closing price with the same length (default 9).
Combines them using TEMA = 3×(EMA1 – EMA2) + EMA3, producing a fast-reacting trend line.
Bullish trend is identified when price > TEMA and TEMA is rising; bearish trend when price < TEMA and TEMA is falling; neutral/flat when TEMA change is minimal.
Signal Logic
Strong Buy: Previous bar’s Stoch RSI was oversold (both %K and %D < 20), %K crosses above %D, and TEMA is in a bullish trend.
Medium Buy: %K crosses above %D (without requiring oversold), TEMA is bullish, and previous %K < 50.
Weak Buy: Previous bar’s %K and %D were oversold, %K crosses above %D, TEMA is flat or bullish (not bearish).
Strong Sell: Previous bar’s Stoch RSI was overbought (both %K and %D > 80), %K crosses below %D, and TEMA is bearish.
Medium Sell: %K crosses below %D (without requiring overbought), TEMA is bearish, and previous %K > 50.
Weak Sell: Previous bar’s %K and %D were overbought, %K crosses below %D, TEMA is flat or bearish (not bullish).
Visual Elements on Chart
TEMA Line: Plotted in cyan (#00BCD4) with a medium-thick line for clear trend visualization.
Buy/Sell Markers:
BUY STRONG: Lime label below the candle
BUY MEDIUM: Green triangle below the candle
BUY WEAK: Semi-transparent green circle below the candle
SELL STRONG: Red label above the candle
SELL MEDIUM: Orange triangle above the candle
SELL WEAK: Semi-transparent orange circle above the candle
Candle & Background Coloring: When a strong buy or sell signal occurs, the candle body is tinted (semi-transparent lime/red) and the chart background briefly flashes light green (buy) or light red (sell).
Dynamic Support/Resistance:
On a strong buy signal, a green dot is plotted under that bar’s low as a temporary support marker.
On a strong sell signal, a red dot is plotted above that bar’s high as a temporary resistance marker.
Alerts
Strong Buy Alert: Triggered when Stoch RSI is oversold, %K crosses above %D, and TEMA is bullish.
Strong Sell Alert: Triggered when Stoch RSI is overbought, %K crosses below %D, and TEMA is bearish.
General Buy Alert: Triggered on any bullish crossover (%K > %D) when TEMA is not bearish.
General Sell Alert: Triggered on any bearish crossover (%K < %D) when TEMA is not bullish.
Inputs
Stochastic RSI Settings (group “Stochastic RSI”):
K (smoothK): Period length for smoothing the %K line (default 3, minimum 1)
D (smoothD): Period length for smoothing the %D line (default 3, minimum 1)
RSI Length (lengthRSI): Number of bars used for the RSI calculation (default 50, minimum 1)
Stochastic Length (lengthStoch): Number of bars for the Stochastic oscillator applied to RSI (default 50, minimum 1)
RSI Source (src): Price source for the RSI (default = close)
TEMA Settings (group “Triple EMA”):
TEMA Length (lengthTEMA): Number of bars used for each of the three EMAs (default 9, minimum 1)
How to Use
Add the Script
Copy and paste the indicator code into TradingView’s Pine Editor (version 6).
Save the script and add it to your chart as “Stochastic RSI + Triple EMA (StochTEMA).”
Adjust Inputs
Choose shorter lengths for lower timeframes (e.g., intraday scalping) and longer lengths for higher timeframes (e.g., swing trading).
Fine-tune the Stochastic RSI parameters (K, D, RSI Length, Stochastic Length) to suit the volatility of the instrument.
Modify TEMA Length if you prefer a faster or slower moving average response.
Interpret Signals
Primary Entries/Exits: Focus on “BUY STRONG” and “SELL STRONG” signals, as they require both oversold/overbought conditions and a confirming TEMA trend.
Confirmation Signals: Use “BUY MEDIUM”/“BUY WEAK” to confirm or add to an existing position when the market is trending. Similarly, “SELL MEDIUM”/“SELL WEAK” can be used to scale out or confirm bearish momentum.
Support/Resistance Dots: These help identify recent swing lows (green dots) and swing highs (red dots) that were tagged by strong signals—useful to place stop-loss or profit-target orders.
Set Alerts
Open the Alerts menu (bell icon) in TradingView, choose this script, and select the desired alert condition (e.g., “BUY Signal Strong”).
Configure notifications (popup, email, webhook) according to your trading workflow.
Notes & Best Practices
Filtering False Signals: By combining Stoch RSI crossovers with TEMA trend confirmation, most false breakouts during choppy price action are filtered out.
Timeframe Selection: This indicator works on all timeframes, but shorter timeframes may generate frequent signals—consider higher-timeframe confirmation when trading lower timeframes.
Risk Management: Always use proper position sizing and stop-loss placement. An “oversold” or “overbought” reading can remain extended for some time in strong trends.
Backtesting/Optimization: Before live trading, backtest different parameter combinations on historical data to find the optimal balance between sensitivity and reliability for your chosen instrument.
No Guarantee of Profits: As with any technical indicator, past performance does not guarantee future results. Use in conjunction with other forms of analysis (volume, price patterns, fundamentals).
Author: Your Name or Username
Version: 1.0 (Pine Script v6)
Published: June 2025
Feel free to customize input values and visual preferences. If you find bugs or have suggestions for improvements, open an issue or leave a comment below. Trade responsibly!
Brian Shannon 5-Day MA BackgroundBrian Shannon 5-Day Moving Average with Dynamic Background Fill
OVERVIEW
This indicator implements Brian Shannon's renowned 5-Day Moving Average methodology from his acclaimed work "Technical Analysis Using Multiple Timeframes." The indicator provides instant visual clarity on short-term trend direction and momentum, making it an essential tool for swing traders and active investors.
KEY FEATURES
• True 5-Day Moving Average: Dynamically calculates the correct period across all timeframes (1min, 5min, 15min, 1H, etc.)
• Visual Price-to-MA Relationship: Color-coded fill between price and the moving average
- Green Fill: Price is above the 5-day MA (bullish short-term momentum)
- Red Fill: Price is below the 5-day MA (bearish short-term momentum)
• Multi-Timeframe Compatible: Works seamlessly on any chart timeframe while maintaining the true 5-day calculation
BRIAN SHANNON'S STRATEGIC APPLICATION
Primary Uses:
1. Trend Identification: Quickly identify short-term momentum shifts
2. Dynamic Support/Resistance: The 5-day MA acts as a moving support level in uptrends and resistance in downtrends
3. Entry Signal Confirmation: Look for pullbacks to the 5-day MA as potential entry points in trending stocks
4. Multi-Timeframe Analysis: Essential component of Shannon's multiple timeframe approach
Perfect Combination with:
• AVWAP (Anchored Volume Weighted Average Price): Use together to identify high-probability setups where price is above both the 5-day MA and AVWAP
• Longer-term Moving Averages: Combine with 20-day and 50-day MAs for complete trend analysis
• Volume Analysis: Confirm 5-day MA signals with volume patterns
TRADING APPLICATIONS
For Swing Traders:
• Bullish Setup: Price above 5-day MA + above AVWAP + above longer-term MAs = Strong uptrend
• Bearish Setup: Price below 5-day MA + below AVWAP + below longer-term MAs = Strong downtrend
• Entry Timing: Use pullbacks to the 5-day MA as entry opportunities in the direction of the primary trend
For Day Traders:
• Quick visual confirmation of intraday momentum
• Dynamic support/resistance levels for scalping opportunities
• Clear trend bias for directional trades
WHY THIS INDICATOR WORKS
Brian Shannon's approach emphasizes that the 5-day moving average represents the short-term sentiment of market participants. When price is consistently above this level, it indicates buyers are in control of short-term price action. Conversely, when price falls below, it suggests selling pressure is dominating.
The visual fill makes it immediately obvious:
• How far price is from the 5-day MA
• The strength of the current short-term trend
• Potential areas where price might find support or resistance
BEST PRACTICES
1. Never use in isolation - Always combine with longer timeframe analysis
2. Volume confirmation - Look for volume expansion on moves away from the 5-day MA
3. Multiple timeframe approach - Check higher timeframes for overall trend direction
4. Combine with AVWAP - Most powerful when both indicators align
INSTALLATION NOTES
This indicator automatically adjusts for any timeframe, ensuring you always get a true 5-trading-day moving average regardless of whether you're viewing 1-minute or hourly charts.
Based on the technical analysis methodology of Brian Shannon, author of "Technical Analysis Using Multiple Timeframes"
Opening Range BreakoutOPENING RANGE BREAKOUT (ORB) INDICATOR
DESCRIPTION
The Opening Range Breakout indicator is a powerful technical analysis tool designed specifically for US equity markets. It identifies and visualizes the opening range established during the first configurable minutes of each trading day (starting at 9:30 AM EST), then provides clear signals when price breaks out of or rejects from these key levels.
This indicator combines multiple timeframe analysis capabilities with precise breakout detection to help traders identify high-probability trading opportunities based on opening range dynamics.
KEY FEATURES
Configurable Opening Range:
• Set opening range duration from 5 minutes to 4 hours
• Automatically adjusts calculations based on your chart timeframe
• Works on any timeframe (1m, 5m, 15m, 1h, etc.)
Multi-Day Range Display:
• Shows up to 50 days of historical opening ranges
• Each day's range properly contained within its trading session
• Range lines extend from market open (9:30 AM) to market close (4:00 PM EST)
Clear Signal System:
• Green arrows (⬆): Bullish breakouts and rejections
• Red arrows (⬇): Bearish breakouts and rejections
• Two signal types: Close breakouts (normal size) and wick rejections (small size)
Visual Range Highlighting:
• Opening range period highlighted with colored box
• Customizable colors for range fill, borders, and midline
• Clean, professional appearance with configurable line styles
SIGNAL TYPES
Bullish Signals (Green ⬆):
1. Close Breakout Above Range (Normal Size): 5-minute candle closes above the opening range high
2. Wick Rejection from Below (Small Size): Price wicks below the opening range low but closes back inside the range
Bearish Signals (Red ⬇):
1. Close Breakout Below Range (Normal Size): 5-minute candle closes below the opening range low
2. Wick Rejection from Above (Small Size): Price wicks above the opening range high but closes back inside the range
CONFIGURATION OPTIONS
Range Settings:
• Opening Range Minutes: Duration of opening range (default: 30 minutes)
• Lookback Days: Number of historical days to display (default: 20 days)
Visual Customization:
• Range Color: Fill color for the opening range area
• Border Color: Color for range high/low lines
• Midline Color: Color for the range midpoint line
• Opening Range Highlight Color: Color for the opening period box
• Line Style: Solid, Dashed, or Dotted lines
• Line Width: 1-4 pixel width options
Display Options:
• Show Midline: Toggle midpoint line display
• Show Range Labels: Toggle price level labels
• Arrow Distance: Adjust arrow positioning (0.1-2.0%)
USAGE GUIDE
Basic Setup:
1. Add the indicator to your chart (works best on 5-minute timeframe)
2. Configure your preferred opening range duration (15m, 30m, or 60m are popular choices)
3. Adjust lookback days based on your analysis needs
4. Customize colors and line styles to match your chart theme
Trading Applications:
Breakout Trading:
• Long Entry: Green arrow (close breakout above range) + confirmation
• Short Entry: Red arrow (close breakout below range) + confirmation
• Stop Loss: Opposite side of the opening range
• Target: 1-2x the range size or key support/resistance levels
Range Rejection Trading:
• Reversal Setups: Small arrows indicate failed breakouts
• Mean Reversion: Trade back toward range midline
• Support/Resistance: Use range levels as key price zones
Multi-Day Analysis:
• Identify recurring support/resistance levels
• Analyze range expansion/contraction patterns
• Compare current day's activity to recent history
BEST PRACTICES
1. Timeframe Selection: 5-minute charts provide optimal signal clarity
2. Range Duration: 30-minute opening range is most commonly used, but adjust based on:
- Market volatility
- Stock characteristics
- Trading style preference
3. Confirmation: Use additional indicators or price action for trade confirmation
4. Risk Management: Always use appropriate position sizing and stop losses
MARKET SESSIONS
The indicator is specifically designed for US equity markets:
• Market Open: 9:30 AM EST
• Market Close: 4:00 PM EST
• Opening Range: Calculated from market open
• Range Lines: Extend throughout the trading day only
PERFORMANCE NOTES
• Optimized for real-time trading with minimal lag
• Automatically manages memory by cleaning old ranges
• Efficiently handles multiple timeframes and range calculations
KNOWN ISSUES & WORKAROUNDS
Historical Buffer Error:
Issue: Occasionally, you may encounter an error: "The requested historical offset (XXX) is beyond the historical buffer's limit (770)"
Workaround:
1. Switch to a different timeframe temporarily
2. Switch back to your original timeframe
3. The indicator will reload and function normally
This is a Pine Script limitation related to historical data access and doesn't affect the indicator's core functionality.
COMPATIBILITY
• Pine Script Version: v6
• Chart Types: All chart types supported
• Timeframes: All timeframes (optimized for 1m-1h)
• Markets: Designed for US equity markets during regular trading hours
TIPS FOR MAXIMUM EFFECTIVENESS
1. Combine with Volume: High volume on breakouts increases reliability
2. Market Context: Consider overall market direction and volatility
3. News Awareness: Be cautious around earnings and major announcements
4. Range Quality: Wider ranges often provide better breakout opportunities
5. Time of Day: Early breakouts (first 1-2 hours) often have higher follow-through
This indicator is provided for educational and informational purposes. Always conduct your own analysis and manage risk appropriately.
Enhanced BTC Order Block IndicatorThe script you provided is an "Enhanced BTC Order Block Indicator" written in Pine Script v5 for TradingView. It is designed to identify and visually mark Order Blocks (OBs) on a Bitcoin (BTC) price chart, specifically tailored for a high-frequency scalping strategy on the 5-minute (M5) timeframe. Order Blocks are key price zones where institutional traders are likely to have placed significant buy or sell orders, making them high-probability areas for reversals or continuations. The script incorporates customizable filters, visual indicators, and alert functionality to assist traders in executing the strategy outlined earlier.
Key Features and Functionality
Purpose:
The indicator detects bullish Order Blocks (buy zones) and bearish Order Blocks (sell zones) based on a predefined percentage price movement (default 0.5–1%) and volume confirmation.
It marks these zones on the chart with colored boxes and provides alerts when an OB is detected.
User-Configurable Inputs:
Price Move Range: minMovePercent (default 0.5%) and maxMovePercent (default 1.0%) define the acceptable price movement range for identifying OBs.
Volume Threshold: volumeThreshold (default 1.5x average volume) ensures OB detection is backed by significant trading activity.
Lookback Period: lookback (default 10 candles) determines how many previous candles are analyzed to find the last candle before a strong move.
Wick/Body Option: useWick (default false) allows users to choose whether the OB zone is based on the candle’s wick or body.
Colors: bullishOBColor (default green) and bearishOBColor (default red) set the visual appearance of OB boxes.
Box Extension: boxExtension (default 100 bars) controls how far the OB box extends to the right on the chart.
RSI Filter: useRSI (default true) enables an RSI filter, with rsiLength (default 14), rsiBullishThreshold (default 50), and rsiBearishThreshold (default 50) for trend confirmation.
M15 Support/Resistance: useSR (default true) and srLookback (default 20) integrate M15 timeframe swing highs and lows for additional OB validation.
Core Logic:
Bullish OB Detection: Identifies a strong upward move (0.5–1%) with volume above the threshold. It then looks back to the last bearish candle before the move to define the OB zone. RSI > 50 and proximity to M15 support/resistance (optional) enhance confirmation.
Bearish OB Detection: Identifies a strong downward move (0.5–1%) with volume confirmation, tracing back to the last bullish candle. RSI < 50 and M15 resistance proximity (optional) add validation.
The OB zone is drawn as a rectangle from the high to low of the identified candle, extended rightward.
Visual Output:
Boxes: Uses box.new to draw OB zones, with left set to the previous bar (bar_index ), right extended by boxExtension, top and bottom defined by the OB’s high and low prices. Each box includes a text label ("Bullish OB" or "Bearish OB") and is semi-transparent.
Colors distinguish between bullish (green) and bearish (red) OBs.
Alerts:
Global alertcondition definitions trigger notifications for "Bullish OB Detected" and "Bearish OB Detected" when the respective conditions are met, displaying the current close price in the message.
Helper Functions:
f_priceChangePercent: Calculates the percentage price change between open and close prices.
isNearSR: Checks if the price is within 0.2% of M15 swing highs or lows for support/resistance confluence.
How It Works
The script runs on each candle, evaluating the current price action against the user-defined criteria.
When a bullish or bearish move is detected (meeting the percentage, volume, RSI, and S/R conditions), it identifies the preceding candle to define the OB zone.
The OB is then visualized on the chart, and an alert is triggered if configured in TradingView.
Use Case
This indicator is tailored for your BTC scalping strategy, where trades last 1–15 minutes targeting 0.3–0.5% gains. It helps traders spot institutional order zones on the M5 chart, confirmed by secondary M1 analysis, and integrates with your use of EMAs, RSI, and volume. The customizable settings allow adaptation to varying market conditions or personal preferences.
Limitations
The M15 S/R detection is simplified (using swing highs/lows), which may not always align perfectly with manual support/resistance levels.
Alerts depend on TradingView’s alert system and require manual setup.
Performance may vary with high volatility or low-volume periods, necessitating parameter adjustments.
Ehlers Ultimate Bands (UBANDS)UBANDS: ULTIMATE BANDS
🔍 OVERVIEW AND PURPOSE
Ultimate Bands, developed by John F. Ehlers, are a volatility-based channel indicator designed to provide a responsive and smooth representation of price boundaries with significantly reduced lag compared to traditional Bollinger Bands. Bollinger Bands typically use a Simple Moving Average for the centerline and standard deviations from it to establish the bands, both of which can increase lag. Ultimate Bands address this by employing Ehlers' Ultrasmooth Filter for the central moving average. The bands are then plotted based on the volatility of price around this ultrasmooth centerline.
The primary purpose of Ultimate Bands is to offer traders a clearer view of potential support and resistance levels that react quickly to price changes while filtering out excessive noise, aiming for nearly zero lag in the indicator band.
🧩 CORE CONCEPTS
Ultrasmooth Centerline: Employs the Ehlers Ultrasmooth Filter as the basis (centerline) for the bands, aiming for minimal lag and enhanced smoothing.
Volatility-Adaptive Width: The distance between the upper and lower bands is determined by a measure of price deviation from the ultrasmooth centerline. This causes the bands to widen during volatile periods and contract during calm periods.
Dynamic Support/Resistance: The bands serve as dynamic levels of potential support (lower band) and resistance (upper band).
🧮 CALCULATION AND MATHEMATICAL FOUNDATION
Ehlers' Original Concept for Deviation:
John Ehlers describes the deviation calculation as: "The deviation at each data sample is the difference between Smooth and the Close at that data point. The Standard Deviation (SD) is computed as the square root of the average of the squares of the individual deviations."
This describes calculating the Root Mean Square (RMS) of the residuals:
Smooth = UltrasmoothFilter(Source, Length)
Residuals = Source - Smooth
SumOfSquaredResiduals = Sum(Residuals ^2) for i over Length
MeanOfSquaredResiduals = SumOfSquaredResiduals / Length
SD_Ehlers = SquareRoot(MeanOfSquaredResiduals) (This is the RMS of residuals)
Pine Script Implementation's Deviation:
The provided Pine Script implementation calculates the statistical standard deviation of the residuals:
Smooth = UltrasmoothFilter(Source, Length) (referred to as _ehusf in the script)
Residuals = Source - Smooth
Mean_Residuals = Average(Residuals, Length)
Variance_Residuals = Average((Residuals - Mean_Residuals)^2, Length)
SD_Pine = SquareRoot(Variance_Residuals) (This is the statistical standard deviation of residuals)
Band Calculation (Common to both approaches, using their respective SD):
UpperBand = Smooth + (NumSDs × SD)
LowerBand = Smooth - (NumSDs × SD)
🔍 Technical Note: The Pine Script implementation uses a statistical standard deviation of the residuals (differences between price and the smooth average). Ehlers' original text implies an RMS of these residuals. While both measure dispersion, they will yield slightly different values. The Ultrasmooth Filter itself is a key component, designed for responsiveness.
📈 INTERPRETATION DETAILS
Reduced Lag: The primary advantage is the significant reduction in lag compared to standard Bollinger Bands, allowing for quicker reaction to price changes.
Volatility Indication: Widening bands indicate increasing market volatility, while narrowing bands suggest decreasing volatility.
Overbought/Oversold Conditions (Use with caution):
• Price touching or exceeding the Upper Band may suggest overbought conditions.
• Price touching or falling below the Lower Band may suggest oversold conditions.
Trend Identification:
• Price consistently "walking the band" (moving along the upper or lower band) can indicate a strong trend.
• The Middle Band (Ultrasmooth Filter) acts as a dynamic support/resistance level and indicates the short-term trend direction.
Comparison to Ultimate Channel: Ehlers notes that the Ultimate Band indicator does not differ from the Ultimate Channel indicator in any major fashion.
🛠️ USE AND APPLICATION
Ultimate Bands can be used similarly to how Keltner Channels or Bollinger Bands are used for interpreting price action, with the main difference being the reduced lag.
Example Trading Strategy (from John F. Ehlers):
Hold a position in the direction of the Ultimate Smoother (the centerline).
Exit that position when the price "pops" outside the channel or band in the opposite direction of the trade.
This is described as a trend-following strategy with an automatic following stop.
⚠️ LIMITATIONS AND CONSIDERATIONS
Lag (Minimized but Present): While significantly reduced, some minimal lag inherent to averaging processes will still exist. Increasing the Length parameter for smoother bands will moderately increase this lag.
Parameter Sensitivity: The Length and StdDev Multiplier settings are key to tuning the indicator for different assets and timeframes.
False Signals: As with any band indicator, false signals can occur, particularly in choppy or non-trending markets.
Not a Standalone System: Best used in conjunction with other forms of analysis for confirmation.
Deviation Calculation Nuance: Be aware of the difference in deviation calculation (statistical standard deviation vs. RMS of residuals) if comparing directly to Ehlers' original concept as described.
📚 REFERENCES
Ehlers, J. F. (2024). Article/Publication where "Code Listing 2" for Ultimate Bands is featured. (Specific source to be identified if known, e.g., "Stocks & Commodities Magazine, Vol. XX, No. YY").
Ehlers, J. F. (General). Various publications on advanced filtering and cycle analysis. (e.g., "Rocket Science for Traders", "Cycle Analytics for Traders").
Fibonacci ReRSI LevelsOverview
The Fibonacci RSI Levels indicator plots key Fibonacci-based RSI levels directly on the price chart, offering a unique perspective on market momentum, potential reversal points, and support/resistance zones. By combining the Relative Strength Index (RSI) with Fibonacci retracement levels, this indicator helps traders identify overbought/oversold conditions, trend strength, and critical price levels for potential trading opportunities.
Key Features
Fibonacci RSI Levels: Plots five key levels—23.6% (Oversold), 38.2% (Downtrend Limit), 50.0% (Mid Level), 61.8% (Uptrend Limit), and 78.6% (Overbought)—based on a logarithmic RSI calculation.
Customizable Settings: Adjust the RSI length, line extension, timeframe, and level colors to suit your trading style.
Gradient Fills: Optional gradient fills between levels provide a visual representation of the price's position relative to key zones.
Multi-Timeframe Support: Use the current chart resolution or specify a custom timeframe (e.g., 1M, 5D, 240 for 4 hours) for flexible analysis.
Logarithmic RSI Calculation: Ideal for assets with exponential price movements, such as cryptocurrencies.
How It Works
The indicator uses a reverse-engineered RSI calculation, inspired by Giorgos Siligardos' concept, to determine price levels corresponding to specific Fibonacci RSI values. These levels are plotted as horizontal lines on the chart, each with a label showing the Fibonacci percentage and the exact price level. If enabled, gradient fills between the levels change color based on the price's position, enhancing visual interpretation.
Usage
Support and Resistance: The 38.2% and 61.8% levels often act as support and resistance in trending markets.
Overbought/Oversold Conditions: The 23.6% and 78.6% levels can indicate potential reversal points due to oversold or overbought conditions.
Trend Confirmation: The 50% level serves as a neutral zone or pivot point. Prices above this level may indicate an uptrend, while prices below suggest a downtrend.
Gradient Fills: Use the gradient fills to quickly assess the price's position within the key zones, aiding in decision-making for entries, exits, or reversals.
Interpretation
Uptrend: When the price is above the 50% level and approaching the 61.8% level, it may signal a strong uptrend.
Downtrend: When the price is below the 50% level and nearing the 38.2% level, it may indicate a downtrend.
Reversal Zones: Watch for price reactions near the 23.6% and 78.6% levels, as these can be areas of potential reversals.
Customization
RSI Length: Adjust the RSI period to fine-tune the sensitivity of the levels.
Line Extension: Control how far the levels extend into the future for better visualization.
Timeframe: Choose between the current chart resolution or a custom timeframe for multi-timeframe analysis.
Colors: Customize the colors of each level and enable gradient fills for enhanced visual clarity.
Entropy Chart Analysis [PhenLabs]📊 Entropy Chart analysis -
Version: PineScript™ v6
📌 Description
The Entropy Chart indicator analysis applies Approximate Entropy (ApEn) to identify zones of potential support and resistance on your price chart. It is designed to locate changes in the market’s predictability, with a focus on zones near significant psychological price levels (e.g., multiples of 50). By quantifying entropy, the indicator aims to identify zones where price action might stabilize (potential support) or become randomized (potential resistance).
This tool automates the visualization of these key areas for traders, which may have the effect of revealing reversal levels or consolidation zones that would be hard to discern through traditional means. It also filters the signals by proximity to key levels in an attempt to reduce noise and highlight higher-probability setups. These dynamic zones adapt to changing market conditions by stretching, merging, and expiring based on user-inputted rules.
🚀 Points of Innovation
Combines Approximate Entropy (ApEn) calculation with price action near significant levels.
Filters zone signals based on proximity (in ticks) to predefined significant price levels (multiples of 50).
Dynamically merges overlapping or nearby zones to consolidate signals and reduce chart clutter.
Uses ApEn crossovers relative to its moving average as the core trigger mechanism.
Provides distinct visual coloring for bullish, bearish, and merged (mixed-signal) zones.
Offers comprehensive customization for entropy calculation, zone sensitivity, level filtering, and visual appearance.
🔧 Core Components
Approximate Entropy (ApEn) Calculation : Measures the regularity or randomness of price fluctuations over a specified window. Low ApEn suggests predictability, while high ApEn suggests randomness.
Zone Trigger Logic : Creates potential support zones when ApEn crosses below its average (indicating increasing predictability) and potential resistance zones when it crosses above (indicating increasing randomness).
Significant Level Filter : Validates zone triggers only if they occur within a user-defined tick distance from significant price levels (multiples of 50).
Dynamic Zone Management : Automatically creates, extends, merges nearby zones based on tick distance, and removes the oldest zones to maintain a maximum limit.
Zone Visualization : Draws and updates colored boxes on the chart to represent active support, resistance, or mixed zones.
🔥 Key Features
Entropy-Based S/R Detection : Uses ApEn to identify potential support (low entropy) and resistance (high entropy) areas.
Significant Level Filtering : Enhances signal quality by focusing on entropy changes near key psychological price points.
Automatic Zone Drawing & Merging : Visualizes zones dynamically, merging close signals for clearer interpretation.
Highly Customizable : Allows traders to adjust parameters for ApEn calculation, zone detection thresholds, level filter sensitivity, merging distance, and visual styles.
Integrated Alerts : Provides built-in alert conditions for the formation of new bullish or bearish zones near significant levels.
Clear Visual Output : Uses distinct, customizable colors for buy (support), sell (resistance), and mixed (merged) zones.
🎨 Visualization
Buy Zones : Represented by greenish boxes (default: #26a69a), indicating potential support areas formed during low entropy periods near significant levels.
Sell Zones : Represented by reddish boxes (default: #ef5350), indicating potential resistance areas formed during high entropy periods near significant levels.
Mixed Zones : Represented by bluish/purple boxes (default: #8894ff), formed when a buy zone and a sell zone merge, indicating areas of potential consolidation or conflict.
Dynamic Extension : Active zones are automatically extended to the right with each new bar.
📖 Usage Guidelines
Calculation Parameters
Window Length
Default: 15
Range: 10-100
Description: Lookback period for ApEn calculation. Shorter lengths are more responsive; longer lengths are smoother.
Embedding Dimension (m)
Default: 2
Range: 1-6
Description: Length of patterns compared in ApEn calculation. Higher values detect more complex patterns but require more data.
Tolerance (r)
Default: 0.5
Range: 0.1-1.0 (step 0.1)
Description: Sensitivity factor for pattern matching (as a multiple of standard deviation). Lower values require closer matches (more sensitive).
Zone Settings
Zone Lookback
Default: 5
Range: 5-50
Description: Lookback period for the moving average of ApEn used in threshold calculations.
Zone Threshold
Default: 0.5
Range: 0.5-3.0
Description: Multiplier for the ApEn average to set crossover trigger levels. Higher values require larger ApEn deviations to create zones.
Maximum Zones
Default: 5
Range: 1-10
Description: Maximum number of active zones displayed. The oldest zones are removed first when the limit is reached.
Zone Merge Distance (Ticks)
Default: 5
Range: 1-50
Description: Maximum distance in ticks for two separate zones to be merged into one.
Level Filter Settings
Tick Size
Default: 0.25
Description: The minimum price increment for the asset. Must be set correctly for the specific instrument to ensure accurate level filtering.
Max Ticks Distance from Levels
Default: 40
Description: Maximum allowed distance (in ticks) from a significant level (multiple of 50) for a zone trigger to be valid.
Visual Settings
Buy Zone Color : Default: color.new(#26a69a, 83). Sets the fill color for support zones.
Sell Zone Color : Default: color.new(#ef5350, 83). Sets the fill color for resistance zones.
Mixed Zone Color : Default: color.new(#8894ff, 83). Sets the fill color for merged zones.
Buy Border Color : Default: #26a69a. Sets the border color for support zones.
Sell Border Color : Default: #ef5350. Sets the border color for resistance zones.
Mixed Border Color : Default: color.new(#a288ff, 50). Sets the border color for mixed zones.
Border Width : Default: 1, Range: 1-3. Sets the thickness of zone borders.
✅ Best Use Cases
Identifying potential support/resistance near significant psychological price levels (e.g., $50, $100 increments).
Detecting potential market turning points or consolidation zones based on shifts in price predictability.
Filtering entries or exits by confirming signals occurring near significant levels identified by the indicator.
Adding context to other technical analysis approaches by highlighting entropy-derived zones.
⚠️ Limitations
Parameter Dependency : Indicator performance is sensitive to parameter settings ( Window Length , Tolerance , Zone Threshold , Max Ticks Distance ), which may need optimization for different assets and timeframes.
Volatility Sensitivity : High market volatility or erratic price action can affect ApEn calculations and potentially lead to less reliable zone signals.
Fixed Level Filter : The significant level filter is based on multiples of 50. While common, this may not capture all relevant levels for every asset or market condition. Accurate Tick Size input is essential.
Not Standalone : Should be used in conjunction with other analysis methods (price action, volume, other indicators) for confirmation, not as a sole basis for trading decisions.
💡 What Makes This Unique
Entropy + Level Context : Uniquely combines ApEn analysis with a specific filter for proximity to significant price levels (multiples of 50), adding locational context to entropy signals.
Intelligent Zone Merging : Automatically consolidates nearby buy/sell zones based on tick distance, simplifying visual analysis and highlighting stronger confluence areas.
Targeted Signal Generation : Focuses alerts and zone creation on specific market conditions (entropy shifts near key levels).
🔬 How It Works
Calculate Entropy : The script computes the Approximate Entropy (ApEn) of the closing prices over the defined Window Length to quantify price predictability.
Check Triggers : It monitors ApEn relative to its moving average. A crossunder below a calculated threshold (avg_apen / zone_threshold) indicates potential support; a crossover above (avg_apen * zone_threshold) indicates potential resistance.
Filter by Level : A potential zone trigger is confirmed only if the low (for support) or high (for resistance) of the trigger bar is within the Max Ticks Distance of a significant price level (multiple of 50).
Manage & Draw Zones : If a trigger is confirmed, a new zone box is created. The script checks for overlaps with existing zones within the Zone Merge Distance and merges them if necessary. Zones are extended forward, and the oldest are removed to respect the Maximum Zones limit. Active zones are drawn and updated on the chart.
💡 Note:
Crucially, set the Tick Size parameter correctly for your specific trading instrument in the “Level Filter Settings”. Incorrect Tick Size will make the significant level filter inaccurate.
Experiment with parameters, especially Window Length , Tolerance (r) , Zone Threshold , and Max Ticks Distance , to tailor the indicator’s sensitivity to your preferred asset and timeframe.
Always use this indicator as part of a comprehensive trading plan, incorporating risk management and seeking confirmation from other analysis techniques.
Linear Regression with StdDev BandsLinear Regression with Standard Deviation Bands Indicator
This indicator plots a linear regression line along with upper and lower bands based on standard deviation. It helps identify potential overbought and oversold conditions, as well as trend direction and strength.
Key Components:
Linear Regression Line: Represents the average price over a specified period.
Upper and Lower Bands: Calculated by adding and subtracting the standard deviation (multiplied by a user-defined factor) from the linear regression line. These bands act as dynamic support and resistance levels.
How to Use:
Trend Identification: The direction of the linear regression line indicates the prevailing trend.
Overbought/Oversold Signals: Prices approaching or crossing the upper band may suggest overbought conditions, while prices near the lower band may indicate oversold conditions.
Dynamic Support/Resistance: The bands can act as potential support and resistance levels.
Alerts: Option to enable alerts when the price crosses above the upper band or below the lower band.
Customization:
Regression Length: Adjust the period over which the linear regression is calculated.
StdDev Multiplier: Modify the width of the bands by changing the standard deviation multiplier.
Price Source: Choose which price data to use for calculations (e.g., close, open, high, low).
Alerts: Enable or disable alerts for band crossings.
This indicator is a versatile tool for understanding price trends and potential reversal points.
