Supertrend Alert with Arrows and Time FilterOverview
This script is designed to generate trading signals based on the Supertrend indicator, a popular technical analysis tool. The Supertrend indicator is used to identify the direction of the market trend and potential reversal points.
Supertrend Settings
The script uses two sets of Supertrend settings:
Small Supertrend
Factor: 3.0
ATR Period: 10
Big Supertrend
Factor: 10.0
ATR Period: 30
These settings are fixed and should not be altered to maintain the integrity of the signal generation process.
Configurable Parameters
startHour: The hour at which signal generation begins.
endHour: The hour at which signal generation ends.
These parameters allow users to focus on specific trading hours, optimizing the signal relevance to their trading strategy.
Signal Types
The script generates two types of signals:
Type 1: Reversal Signal
Long Signal: Triggered when the big Supertrend is in an uptrend, and the small Supertrend transitions from a downtrend to an uptrend.
Short Signal: Triggered when the big Supertrend is in a downtrend, and the small Supertrend transitions from an uptrend to a downtrend.
Type 2: Trend Change Signal
Long Signal: Triggered when the big Supertrend changes from a downtrend to an uptrend.
Short Signal: Triggered when the big Supertrend changes from an uptrend to a downtrend.
How the Script Works
Initialization: The script initializes with predefined Supertrend settings.
Data Input: Market data (e.g., price data) is fed into the script.
Supertrend Calculation: The script calculates the Supertrend values using the predefined factors and ATR periods.
Signal Detection: The script monitors the Supertrend values and detects the defined signals based on the conditions mentioned above.
Time Filtering: Signals are filtered based on the specified startHour and endHour, ensuring only relevant signals are displayed within the desired timeframe.
Usage
Set Parameters: Define startHour and endHour according to your trading schedule.
Run Script: Execute the script with market data input.
Interpret Signals: Monitor the generated signals and use them to inform your trading decisions.
Originality
Dual Supertrend Usage: The use of both a small and a big Supertrend to generate signals adds a layer of complexity and reliability to the signals.
Time-Based Filtering: Allows traders to focus on specific trading hours, enhancing the relevance and accuracy of signals.
Two Signal Types: The combination of reversal signals and trend change signals provides comprehensive market insights.
Conclusion
This Supertrend Signal Generator is a robust tool for traders seeking to leverage the Supertrend indicator for more informed trading decisions. By combining dual Supertrend settings and configurable trading hours, the script offers unique and flexible signal generation capabilities.
Pesquisar nos scripts por "the script"
Waves MultiTimeframe AlfredThe price on the charts moves quite chaotically, but when we look at a given interval (and eliminate the noise created on the lower interval), we can distinguish trend price movements up and down. They are almost never a straight line, but the price reaches higher and higher lows - we have up trend or lower and lower highs when we have a down trend.
There are many theories trying to describe trend movements, and many trend change detectors have been created on their basis.
In last centry we we had few famous researchers of investment theories, one of them was the Japanese journalist and investor Goichi Hosoda, creator of Ichimoku trading theory.
Goichi Hosoda proposed a trend change detector called Kyushu Legs. This detector compares the values of the current price with the price from 9 weeks ago and illustrates them using a candlestick chart. Than on the chart we can distinguishes B, P, Y formations that allow us to determine the trend and notify about trend change moment. This idea was developed further. The set of Kyushu Legs formations (B, P, Y) has been transferred to raw price chart and transformed into a set of rules detecting trend changes on the current price chart. A unique feature this method is the comparison of the parameters of neighboring candles in order to dynamically determine the values beyond which the trend changes. This eliminate the need of predefined threshold values and adjusting it to different price ranges.
Described trend detector is available on TradingView under the name "Waves" and was a starting point of a whole package of "Waves" scripts built around this detector.
"Waves MultiTimeframe Alfred" is part of the "Waves" package. It is an extension of trend detector with the ability to analyze in parallel candle data taken from higher intervals. Thanks to that this detector detects moments of trend changes on many intervals at once.
In top-right corner it displays a window with basic informations about trend (and potencial trend change moment) at higher intervals, such as:
- Trend direction confirmed on last closed candle
- In real time trend direction with the assumption that candle will be closes at current price level.
- Time to current candle close
- Price change done by the current candle
- Price's distance to the trend change threshold
Trend direction and potencial trend change are shown with a symbols:
↗ - Continuation of up trend
↘ - Continuation of down trend
↺ - Trend change to up trend
↷ - Trend change to down trend
This script supports 2 trend detection rulesets:
- Low - More sensitive trend detection ruleset, detects changes faster and more often than Medium, announcing potential changes in the Medium trend
- Medium - Less sensitive trend detection ruleset detecting trends on the chart.
Remember, until candle is not close price can move and trend indication can change. All trend indicators have a delay and are describing past till now. Future prediction cannot be done by software.
This script can be used alone, but the creator's intention was to use it together with other scripts from the "Waves" package. e.g. It can be used with the "Waves" script which draw trend lines and trend change moments on the current interval and we can use "Waves MultiTimeframe Alfred" as an assistant showing basic trends situation on up to 3 higher intervals.
Script settings:
Timeframe 1,2,3 - Option to pick 3 higher timeframes with text and background color settings.
Timer - Showing count down timer to the end of current bar on that interval
Candles - Showing candle symbol with current price change done on that interval. A separate candle color can be picked for price up and down candles.
Low wave row - Row with low trend symbol and price distance to the current low trend threshold (trend change price).
↗ - Continuation of up trend
↘ - Continuation of down trend
↺ - Trend change to up trend
↷ - Trend change to down trend
Low wave last bar symbol - Symbol of trend confirmed by previous bar. Drawn in the first line before interval symbol:
↗ - up trend
↘ - down trend
Mid wave row - Row with mid trend symbol and price distance to the current mid trend threshold (trend change price).
↗ - Continuation of up trend
↘ - Continuation of down trend
↺ - Trend change to up trend
↷ - Trend change to down trend
Mid wave last bar symbol - Symbol of trend confirmed by previous bar. Drawn in the first line after interval symbol:
↗ - up trend
↘ - down trend
Warnings - Showing explanation messages when interval data are not available.
Signal change - Experimental option to signal trend change with a different color.
Troubleshooting:
In case of any problems, please send error details to the author of the script.
dashboard MTF,EMA User Guide: Dashboard MTF EMA
Script Installation:
Copy the script code.
Go to the script window (Pine Editor) on TradingView.
Paste the code into the script window.
Save the script.
Adding the Script to the Chart:
Return to your chart on TradingView.
Look for the script in the list of available scripts.
Add the script to the chart.
Interpreting the Table:
On the right side of the chart, you will see a table labeled "EMA" with arrows.
The rows correspond to different timeframes: 5 minutes (5M), 15 minutes (15M), 1 hour (1H), 4 hours (4H), and 1 day (1D).
Understanding the Arrows:
Each row of the table has two columns: "EMA" and an arrow.
"EMA" indicates the trend of the Exponential Moving Average (EMA) for the specified period.
The arrow indicates the direction of the trend: ▲ for bullish, ▼ for bearish.
Table Colors:
The colors of the table reflect the current trend based on the comparison between fast and slow EMAs.
Blue (▲) indicates a bullish trend.
Red (▼) indicates a bearish trend.
Table Theme:
The table has a dark (Dark) or light (Light) theme according to your preference.
The background, frame, and colors are adjusted based on the selected theme.
Usage:
Use the table as a quick indicator of trends on different timeframes.
The arrows help you quickly identify trends without navigating between different time units.
Designed to simplify analysis and avoid cluttering the chart with multiple indicators.
Pro Trading Art - Head And ShouldersHow the Script Works:
1. The script identifies potential Head and Shoulders patterns by searching for specific pivot highs and pivot lows in the price data.
2. It checks for the presence of a left shoulder, head, and right shoulder based on the conditions defined in the script.
3. If a valid Head and Shoulders pattern is found, the script plots lines and labels on the chart to visualize the pattern.
4. The script also identifies Inverted Head and Shoulders patterns using similar logic but with different conditions.
5. It plots lines and labels for the Inverted Head and Shoulders pattern.
6. The script generates short and long conditions based on the patterns. Short conditions trigger when the close price crosses below the neck level of a Head and Shoulders pattern, while long conditions trigger when the close price crosses above the neck level of an Inverted Head and Shoulders pattern.
7. It plots sell and buy signal shapes on the chart when the short and long conditions are met, respectively.
8. The script can also trigger alerts to notify the user when a valid Head and Shoulders or Inverted Head and Shoulders pattern is detected.
9. The script provides visual cues on the chart to help users identify potential trading opportunities.
10. The logic and parameters of the script can be modified by the user to customize the behavior and adapt it to different trading strategies.
How Users Can Make Profit Using This Script:
1. Identify potential short-selling opportunities: When a valid Head and Shoulders pattern is detected and a short condition is met, it indicates a potential trend reversal. Traders can consider opening short positions to profit from a downward price movement.
2. Identify potential long-buying opportunities: When a valid Inverted Head and Shoulders pattern is detected and a long condition is met, it suggests a potential trend reversal. Traders can consider opening long positions to profit from an upward price movement.
3. Combine with additional analysis: Users can utilize this script as a tool in their overall trading strategy. They can combine the signals generated by the script with other technical indicators, fundamental analysis, or market sentiment to make more informed trading decisions.
4. Define appropriate entry and exit points: Traders can use the lines and labels plotted by the script to determine entry and exit points for their trades. For example, they may choose to enter a short position after the price crosses below the neck level and exit when the price reaches a predetermined target or when the pattern is invalidated.
5. Set risk management measures: It is important for users to implement proper risk management strategies when trading based on the script's signals. They should define stop-loss orders to limit potential losses if the trade goes against them and consider setting profit targets to secure profits when the trade moves in their favor.
Tick travel ⍗This script is a further exploration of 'ticks' (only on realtime - live bars), based on my previous script:
- www.tradingview.com -
What are 'ticks'?
... Once the script’s execution reaches the rightmost bar in the dataset, if trading is currently active on the chart’s symbol,
then Pine indicators will execute once every time an update occurs, i.e., price or volume changes ...
(www.tradingview.com)
This script has 2 parts:
1) Option: ' Tick up/down'
This is a further progression of previous work.
During bar development, every time there is an update (tick), a dot is placed.
If for example there is 1 tick (first of new bar), a dot will be placed on 1,
if it is the 8th tick off that bar, there will be a dot placed on 8.
While my previous script had the issue that there was an upper limit per bar (max 32),
this script (because it is working with labels) can place max 500 dots.
For each bar this is better, it has to be mentioned though that looking in history, once the limit of 500 has been reached,
you'll notice the last ones are being deleted. This is one of the reasons the script is not suitable for higher timeframes
(1h and higher, even higher than 5 minutes can give some issues if it is a highly traded ticker), if a bar would have more
than 500 ticks, they won't be drawn anymore (which is not desirable of course)
2) Option: ' Tick progression'
These are the same ticks, but placed on the candle itself, or you can show the candle:
Or 'without' candle (or 'black' colour):
When 'No candles' are enabled, the 'candles' get the colour at the right.
At the moment it is not possible to drawn between 2 candles, this technique uses labels with 'text',
each tick on a candle will have a 'space' added, so you can see a progression to the right.
Colours
- if price is higher than previous tick price -> green
- if price is lower than previous tick price -> red
- otherwise -> blue (dimmed)
There are options to choose the 'dot', when choosing 'custom',
just enter (copy/paste) your symbol of your choice in the 'custom' field:
Caveats:
- Labels and text will not always be exactly on the price itself
- The scripts needs more testings, possibly some ticks don't always get drawn as they should.
The lower the timeframe, the more possible issues can occur
- Since (candle option) the dots move to the right, the higher the timeframe and/or the more ticks,
the sooner ticks will go in the area of next candle.
That's why I made a separate 'start symbol'
-> This is the very first tick on each candle, then you can zoom in/out more easily until the dots don't merge into each other candle area:
A timeframe higher than 5 minutes mostly won't be feasible I believe
This script wouldn't be possible without the help of @LucF, also because of his script
With very much respect I am hugely inspired by him! Many Thanks to him, Tradingview, and everything associated with them!
Cheers!
Tick Data DetailedHello All,
After Tick Chart and Tick Chart RSI scripts, this is Tick Data Detailed script. Like other tick scrips this one only works on real-time bars too. it creates two tables: the table at the right shows the detailed data for Current Bar and the table at the left shows the detailed data for all calculated bars (cumulative). the script checks the volume on each tick and add the tick and volume to the specified level (you can set/change levels)
The volume is multiplied by close price to calculate real volume .There are 7 levels/zones and the default levels are:
0 - 10.000
10.000 - 20.000
20.000 - 50.000
50.000 - 100.000
100.000 - 200.000
200.000 - 400.000
> 400.000
With this info, you will get number of ticks and total volumes on each levels. The idea to separate this levels is in order to know which type of traders trade at that moment. for example volume of whale moves are probably greater than 400.000 or at least 100.000. Or volume of small traders is less than 10.000 or between 20.000-50.000.
You will get info if there is anomaly on each candle as well. what is anomaly definition? Current candle is green but Sell volume is greater than Buy volume or current candle is red but Buy volume is greater than Sell volume . it is shown as (!). you should think/search why/how this anomaly occurs. You can see screenshot about it below.
also "TOTAL" text color changes automatically. if Buy volume is greater than Sell volume then its color becomes Green, if Sell volume is greater than Buy volume then its color becomes Red (or any color you set)
Optionally you can change background and text colors as shown in the example below.
Explanation:
How anomaly is shown:
You can enable coloring background and set the colors as you wish:
And Thanks to @Duyck for letting me use the special characters from his great script.
Enjoy!
The Moon█ OVERVIEW
The Moon is a script that is designed to help Traders analyse their charts using the moon. This script consists of three main features :
1. Moon Phases Pro : This is a more powerful version of the default built-in Moon Phases where it would plot both past cycles and Future cycles with a better accuracy.
2. Moon Lines : This plots the moon's longitude into price. you can also select your desired $/degree ( price vs time unit) to make these lines better suited for your chart and the asset your playing with. We also didn't forget to add an option to enable harmonics of these lines. In addition, you can select "reverse" to get the downtrending plants as well.
3. Moon Angles : This allows you to highlight areas where the moon is at X degree. you can get the Moon at zero aris or 180 degrees or any other degree!.
We also added some styling options to help with the visuals.
█ Future Plans and upgrades to this script may include :
1. Enhanced algorithm for a faster loading/processing script.
2. More future dates plotting.
And more! Feel free to contact me with any feature that you would like to see in this script
█ How to use :
1. Open the settings.
2. Enable your desired tool and adjust the settings.
Give the script a few seconds and you should be set. Don't enable more than 2 tools at the same time, but if you want to do that, you can insert the same script twice or more in your chart.
This script is coded as an addon to the Gann ToolBox package/scripts.
Planetary Aspects & Transits█ OVERVIEW
Planetary Aspects and Transits are commonly used by Astrology Traders and Gann Traders for various reasons. This script is designed to highlight these planetary aspects and transitions on your chart. You can select your favorite planet -including the sun and the moon- and also select the aspect that you would like to view and this script will highlight it on the chart. The aspects that are included to choose from are ( 0, 30, 45, 60, 72, 90, 120, 135, 144, 150, and 180 degrees ). You can also select the mode of these aspects and transits ( Heliocentric vs Geocentric ).
This script offers two running options :
1. Planet vs aspect : using this option you will be able to select a planet and an aspect and we will find/highlight all the transitions vs all the planets in that aspect.
2. Planet vs Planet : using this option you will be able to select two planet and a single aspect to view on the chart.
█ Future Plans and upgrades to this script may include :
1. Enhanced algorithm for a faster loading/processing script.
2. More future dates plotting.
And more! Feel free to contact me with any feature that you would like to see in this script
█ How to use :
1. Open the settings.
2. Choose the planet/planets, and the aspect.
3. Enable the option.
Give the script a few seconds and you should be set.
This script is coded as an addon to the Gann ToolBox package/scripts.
PRIME - Krypto Kiss+CCI+VPIntroducing from Prime Academy, the experimental "KryptO Kis$" algorithm, which combines our most powerful scripts all in one indicator. Available to the user are a full options platform to adjust parameters as well as individually blind indications for precise chart analysis. The following algorithms have been utilized:
* Prime Pulse (3 Candle System) - The original impulse and momentum indication system, it take rsi and tsi data to provide users with the indication of initial impulses, as well as a yellow candle to ascertain when there is a possible change of momentum in the current impulse.
* 5 SMA - The original Sniper Cross system seen from previous strategies, using the 4, 21, 50, 185, and 800 SMA's to determine changes of trend, continuation and support levels.
*CCI Indication on Chart - The system provides realtime CCI data in correlation to price positions within the general chart matrix, receiving system variables from various crosses on the 100 to -100 scale for CCI. Bullish and Bearish indications are clearly defined by separate colors.
* Volume Profile with tags - This system provides current volume data for the current time frame and sequence, also giving available tags at prices holding high volume orders, historically and present as indicated by the difference in length of indications. color saturations indicate the intensity of volume at the price in question .
* Shadow ZoneZ - Provides Support and resistance levels using rsi overbought and over sold data, sourced on the close of previous prices. Also embedded in the code is an additional volume confluence via indications of dotted lines with prices available, giving sequence positions of "Whales" and their support and resistance levels by order volume at price.
* An added bonus of the Shadow ZoneZ is the auto trend line and trend channel function , as well as the highlighted zones of liquidity waiting to be filled from previous impulses and lack of present retracements.
Any questions can be directed here on site via Direct Message. Any feedback is welcomed, and thank you in advance. Trade Well, Family!
- Dee Prime
//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 the publishing TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script.
Matrix Library (Linear Algebra, incl Multiple Linear Regression)What's this all about?
Ever since 1D arrays were added to Pine Script, many wonderful new opportunities have opened up. There has been a few implementations of matrices and matrix math (most notably by TradingView-user tbiktag in his recent Moving Regression script: ). However, so far, no comprehensive libraries for matrix math and linear algebra has been developed. This script aims to change that.
I'm not math expert, but I like learning new things, so I took it upon myself to relearn linear algebra these past few months, and create a matrix math library for Pine Script. The goal with the library was to make a comprehensive collection of functions that can be used to perform as many of the standard operations on matrices as possible, and to implement functions to solve systems of linear equations. The library implements matrices using arrays, and many standard functions to manipulate these matrices have been added as well.
The main purpose of the library is to give users the ability to solve systems of linear equations (useful for Multiple Linear Regression with K number of independent variables for example), but it can also be used to simulate 2D arrays for any purpose.
So how do I use this thing?
Personally, what I do with my private Pine Script libraries is I keep them stored as text-files in a Libraries folder, and I copy and paste them into my code when I need them. This library is quite large, so I have made sure to use brackets in comments to easily hide any part of the code. This helps with big libraries like this one.
The parts of this script that you need to copy are labeled "MathLib", "ArrayLib", and "MatrixLib". The matrix library is dependent on the functions from these other two libraries, but they are stripped down to only include the functions used by the MatrixLib library.
When you have the code in your script (pasted somewhere below the "study()" call), you can create a matrix by calling one of the constructor functions. All functions in this library start with "matrix_", and all constructors start with either "create" or "copy". I suggest you read through the code though. The functions have very descriptive names, and a short description of what each function does is included in a header comment directly above it. The functions generally come in the following order:
Constructors: These are used to create matrices (empy with no rows or columns, set shape filled with 0s, from a time series or an array, and so on).
Getters and setters: These are used to get data from a matrix (like the value of an element or a full row or column).
Matrix manipulations: These functions manipulate the matrix in some way (for example, functions to append columns or rows to a matrix).
Matrix operations: These are the matrix operations. They include things like basic math operations for two indices, to transposing a matrix.
Decompositions and solvers: Next up are functions to solve systems of linear equations. These include LU and QR decomposition and solvers, and functions for calculating the pseudo-inverse or inverse of a matrix.
Multiple Linear Regression: Lastly, we find an implementation of a multiple linear regression, including all the standard statistics one can expect to find in most statistical software packages.
Are there any working examples of how to use the library?
Yes, at the very end of the script, there is an example that plots the predictions from a multiple linear regression with two independent (explanatory) X variables, regressing the chart data (the Y variable) on these X variables. You can look at this code to see a real-world example of how to use the code in this library.
Are there any limitations?
There are no hard limiations, but the matrices uses arrays, so the number of elements can never exceed the number of elements supported by Pine Script (minus 2, since two elements are used internally by the library to store row and column count). Some of the operations do use a lot of resources though, and as a result, some things can not be done without timing out. This can vary from time to time as well, as this is primarily dependent on the available resources from the Pine Script servers. For instance, the multiple linear regression cannot be used with a lookback window above 10 or 12 most of the time, if the statistics are reported. If no statistics are reported (and therefore not calculated), the lookback window can usually be extended to around 60-80 bars before the servers time out the execution.
Hopefully the dev-team at TradingView sees this script and find ways to implement this functionality diretly into Pine Script, as that would speed up many of the operations and make things like MLR (multiple linear regression) possible on a bigger lookback window.
Some parting words
This library has taken a few months to write, and I have taken all the steps I can think of to test it for bugs. Some may have slipped through anyway, so please let me know if you find any, and I'll try my best to fix them when I have time to do so. This library is intended to help the community. Therefore, I am releasing the library as open source, in the hopes that people may improving on it, or using it in their own work. If you do make something cool with this, or if you find ways to improve the code, please let me know in the comments.
EMA TrendThe purpose of this script is to identify price trends based on EMAs. The relative position of price to specific EMAs and the position of certain EMAs towards each other are used to determine the trend direction. The script is intended for investors as a tool to define a basis for further evaluation. I do not use the script as a signal generator and would not recommend doing so without the help of additional indicators.
How to work with the script
The major (or long term) trend direction is determined by the 144 EMA much in the same way as the 200 MA is used in other systems. If the price is above the 144 EMA we are in a long term uptrend, below we are in a long term downtrend. This is to be taken with a grain of salt though. The 144 EMA is considerably shorter than the 200 SMA and is more prone to the price fluctuating around it during periods without a strong long term trend. I recommend using this as a confirmation for the short term trend.
The short term trend is derived from the position and slope of the price, the 21 EMA and the 55 EMA. If the price is above the 21 EMA, the 21 above the 55 EMA, both EMAs are sloping upwards and the distance between the two is increasing, we are talking about an uptrend (and vice versa for a downtrend). This is visualized by the color of the fill between the 144 EMA and close price. Green for uptrend, red for downtrend and no color for an undetermined trend.
The EMAs used are: 21 , 34 , 55 , 89 , 144 , 233 . Most of the EMAs are at 50 transparency to appear less dominant. For orientation, the 144 EMA is bright green to indicate its general importance for the trend determination, and the 55 EMAs is not transparent mainly to be able to identify positioning when the EMAs are close together.
Base time frame EMA
The 144 EMA is plotted twice where one is fixed to the daily time frame (can be configured) to be able to have the 144 on different timeframes during analysis. I find this very useful to keep the focus on my main time frame while analyzing trend on lower or higher time frames. This can also be turned off.
Configurability
This script is less configurable than I generally like with my other scripts. The reason is that the title attribute of the plots is not dynamic, and I use the data window often to get exact values from the script to determine buy targets for pullbacks and other things. Hence, I prefer not to have random names (or no names) in there to save mental capacity. If this ever becomes available, I'll gladly add this to this script. Till then, I encourage you to take the script and adjust it to your own needs. It should be simple enough even if you are just starting out in pine.
TE REKABThis indicator is the combination of RECAT & REVVIND published earlier with some extra features.
Core idea behind designing this tool is to IDENTIFY & TRADE REVERSALS in the live market. Reversal can be a TREND REVERSAL or a TEMPORARY PULL BACK. This tool works perfectly in both situations.
LOGIC:
Reversals are identified using:
- failure to break through long term support & resistance, pivots & daily H/L
- volume divergence
- orderflow concept of "skipping of prices".
- flow of price against the momentum during a trend.
Plots are 21/50/100 EMAs which are colour coded to represent the current trend.
ROYAL-BLUE CANDLES represent "ACTION CANDLES"; the high probability candles for finding best reversal trades.
HOW TO USE:
AFTER YOU APPLY THE SCRIPT.
1. WAIT FOR THE FORMATION NEON-BLUE/YELLOW COLOURED BARS AT/NEAR DAY HIGH/LOW.
Accuracy is highest when the REVERSALS are caught at/near DAY HIGH/LOW. I would suggest you to work only on near DAY HIGH/LOW candles.
Do not jump into the trade. Wait for the candle to close.
2. NEON-BLUE represents the start of a BEARISH TREND or simply "SELL SIGNAL".
YELLOW represents the beginning of a BULLISH TREND or simply "BUY SIGNAL".
3. If the NEON-BLUE candle is formed at/near DAY HIGH.
SELL below it's LOW with DAY HIGH as Stoploss. (Keep some BUFFER).
If the YELLOW candle is formed at/near DAY LOW.
BUY above it's HIGH with DAY LOW as Stoploss. (Keep some BUFFER).
4. TARGET
Risk : Reward = 1:1
Trail Stoploss for 1:2, 1:2.5, 1:3
NOTE:
REKAB can be used in any timeframe. However, lower timeframes tend to have more noise as compared to 15mins and above.
REKAB can be used with all the SCRIPTS. However, high volume scripts give better results.
THERE IS ABSOLUTELY NO REPAINTING AFTER THE CANDLE IS CLOSED.
THIS IS A PAID SCRIPT. FOR ACCESS PLEASE SEND A PRIVATE MESSAGE OR WHATSAPP ME (NUMBER IN SIGNATURES)
AS PER TRADINGVIEW POLICY, PLEASE DO NOT ASK FOR ACCESS IN COMMENTS SECTION.
Trend Lines Pro for IndicatorsHello Traders!
We need to make things better & better to solve the puzzle and I try to do my best on this way. now I am here with my new Trend Lines Pro for Indicators script.
As you know, Trend Lines is very subjective and many people (even professionals) draw different Trend Lines on the same chart. This is confusing and there must be an automation to make the life easer. with this tool I tried to automate it.
The idea in this script is different from my previous trend lines scripts. In this, I use channel idea so it can check number of pivot points it contains. it also checks the angle while choosing trend lines. then we get stronger and useful Trend Lines automatically.
There are some option in the script, let see one by one:
Indicator: the indicator on which you want to see Trend lines, Predefined Indicators are: RSI, CCI(Commodity Channel Index), OBV(On-Balance Volume), Momentum, MACD, CMF(Chaikin Money Flow), External Indicator
External Indicator: with this option you can use other indicators as input and get trend lines for them.
- First add an indicator (such as MFI)
- in "Indicator" option select "External Indicator"
- click "External Indicator" option
- and choose the indicator from the list
Pivot Period: The Length to calculate Pivot Highs/Lows
Threshold Rate: This rate is used for channel width. it you give bigger numbers then you get bigger channels. it's 4 by default
Minimum Angle Rate for new Trendline: if there are different trend lines , there must be an angle between them to choose best trend lines . you can set the angle with this option.
Minimum Strength: there can be many trend lines but we need to choose/use stronger ones. with this option you can set the number of pivot points a trend channel have to contains. default value is 2
Maximum Loopback Length : by default the script can check 40 pivot highs and 40 pivot lows but to make the script faster and useful I needed to add a limitation for the number of bars that the script can go back.
Show Trendlines as: you can see trend lines as "Trendline", "Channel", "Trend Channel". you can see examples below.
Enable Weak Trend Lines : if there is no trend lines strong enough (as defined in "Minimum Strength" option) you have option to see a weak trend line . that is useful sometimes. if you enable this option weak lines are shown as dotted lines.
Show Price Labels on Trendlines: the script can show the price levels to break trend lines . the example
Line Style: trend lines can be Solid or Dashed as you wish
Color theme: colors of the Up/Down Trend lines can be set. Red, Lime, Blue, White, Black, Olive, Gray
Indicator color: colors of the Up/Down Trend lines can be set. Red, Lime, Blue, White, Black, Olive, Gray and Yellow
and last options are for length options for RSI, CCI, Momentum, MACD, CMF
There are many alerts such: Support/Resistance Broken, Price in Support/Resistance channel, Support/Resistance line broken but still in a channel that means it broke S/R but there is another trend lines to break.
Below an example how the script uses external indicator as input and draws trend lines on it. in this example chaikin ossilator was added to the chart and get trend lines for it. (I am going to make a short video about it)
An example of Trend Channel is below. when you use trend channel option you can get "big picture" of whats going on
An example for trend lines in channels, that is the idea behind this trend lines script
An axample for trend lines for CCI:
Trend lines on OBV:
Trend lines on Momentum:
Trend lines on MACD:
Trend lines on CMF:
Different colors and line styles:
Please send me message for access and do not hesitate to ask your questions about this tool.
Enjoy!
DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorized for our documents, script / strategy, and the information published with them. This informational planning script / strategy is strictly for individual use and educational purposes only. This is not financial or investment advice. Investments are always made at your own risk and are based on your personal judgement. I am not responsible for any losses you may incur. Please invest wisely.
TFi Double Stochastic StudyThe Study script uses Stochastic indicators for entry and exit a position.
The entry and exit points are visualized in the chart via green arrows and crosses; the position follows the exact behavior of the strategy script.
The study also creates alerts, which follow the exact position of the entry/exit markers.
How to use
The Study works with most timeframes and instruments.
I'm also providing a "strategy" version of this Study, which can be used to backtest the strategy.
List of parameters
"Stochastic Length" ... Number of bars for Stochastic indicators
"Stochastic Overbought" ... Stochastic overbought level
"Stochastic Overbought Down Trend" ... Stochastic overbought level for down trends
"Stochastic Oversold Up Trend" ... Stochastic oversold level for up trends
"Stochastic Oversold" ... Stochastic oversold level
"Stochastic Smooth K" ... Stochastic K smoothing
"Stochastic Smooth D" ... Stochastic D smoothing
"Stochastic Confirmed" ... Enable to confirm the indicator value within the current bar
"MA Filter Enabled" ... Enable an additional filter for entering a position; the entries only follow the overall trend
"MA Fast Period" ... Fast filter period
"MA Slow Period" ... Slow filter period
List of alerts
Entry Long' ... Enter long position
'Entry Short' ... Enter short position
'Exit Long/Short' ... Exit long/short position
How to access
This Study is a "Invite Only" script. Please use the link below or send me a message via Tradingview to obtain access to the strategy and study script.
For enabling the script in your Tradingview chart window, click on "Indicators" and select "Invite-Only Scripts".
ZenAlgo - MultiverseThe ZenAlgo – Multiverse indicator provides a multi-timeframe view of Volume-Weighted Average Price (VWAP) levels and their dynamic interaction with price across seven defined timeframes: Daily, Weekly, Monthly, Quarterly, Semi-Annual, and Yearly. The indicator is intended to help traders contextualize price within time-based value areas and examine how price interacts with statistically relevant bands derived from those VWAPs.
VWAP Calculation and Period Structure
At the core, this script computes VWAP levels anchored to six distinct timeframes using volume data and a configurable source (default is HLC3). Each VWAP resets at the start of its corresponding period (e.g., Daily VWAP resets at the beginning of a new day) using timeframe.change() as a detection mechanism. This allows each VWAP level to reflect a clean aggregation of price and volume over its specified period.
VWAP levels are only computed if volume data is present and cumulative volume increases, ensuring logical consistency. If volume is missing or inconsistent, the script terminates execution with an error to prevent invalid outputs.
Band Calculation
Each VWAP is accompanied by one or two optional bands on both sides, calculated using percentage-based offset. Daily VWAP is configurable per user preference to use either standard deviation or a percentage-based offset. These bands provide a dynamic value area that expands or contracts with volatility or proportional price distance, respectively.
The bands help classify price as:
Inside the main band (e.g., between ±1 band): near average value
Inside extended band (e.g., ±2 bands): stretched but not extreme
Beyond extended band: potentially overheated or oversold conditions
This layering creates a multi-zoned map of value perception across timeframes.
Labeling and Historical Tracking
As each new VWAP is computed, it is stored in a bounded array alongside metadata such as label position, line objects, test count, and test state (whether price has interacted with it). Each level is drawn as a dotted horizontal line and labeled with its value and corresponding period (e.g., "D", "W", "M").
Price interaction with a VWAP level (i.e., candle high/low crossing the line) changes the styling of the label and line, marking it as "tested." A cap on how many tested levels are retained (default 10) avoids excessive clutter and resource usage.
These persistent horizontal levels give the trader a visual reference of where value was defined in previous periods and how price has respected or ignored those levels over time.
Summary Tables and Grid
Two visual table overlays are provided:
1. VWAP Summary Table , this table shows:
VWAP values per timeframe
Trend interpretation (rising, falling, stable) relative to price
Ranked order of VWAP values (from highest to lowest)
The order is recalculated each bar to reflect the vertical positioning of each VWAP on the price chart.
2. VWAP Relationship Grid
A grid matrix compares each VWAP and current price against all others. Each cell reflects whether a given source is above, below, or within a tolerance threshold relative to another. Colors (green, red, gray) visually encode the result, with the diagonal marked in black and unused cells disabled.
This matrix helps identify alignment or dissonance among timeframes, allowing users to detect whether shorter-term value is leading or lagging longer-term value.
Price Band Classification
For the Daily VWAP specifically, the script includes an extra classification system. It assigns the current price to a zone (e.g., "At VWAP", "Bear Band", "Above Bull Band 2") based on where the price lies in relation to the VWAP bands. This classification is also used for dynamic coloring and added to the daily label.
Display Controls
The script offers fine-grained controls:
Toggle visibility of each VWAP and band group independently
Adjust the offset of labels from the current bar
Customize band multipliers and color transparency
Limit the number of historical VWAP labels plotted
Position both the summary and grid tables flexibly on screen
These options allow traders to declutter their charts and focus on the most relevant context for their strategy.
How to Interpret and Use
This indicator provides a structured view of market value perception across various timeframes. For example:
When price converges with multiple VWAPs, it may suggest consensus on value.
When price moves away from all VWAPs, it may indicate trending or stretched conditions.
Crosses and retests of VWAPs (especially higher-timeframe ones) can act as areas of interest.
The band-based classification helps identify transitional zones and whether price is situated in an area where value is being accepted or rejected.
The summary tables offer a high-level dashboard of price positioning and value structure, which can assist with top-down analysis, filtering setups, or contextual decision-making.
Added Value Compared to Free Alternatives
Most free VWAP scripts:
Cover only a single timeframe (often daily or session-based)
Lack historical level tracking with tested/retested visualization
Do not support grid-level relationships or multi-timeframe band analysis
Offer limited configuration over how bands are calculated or displayed
This script consolidates multiple value areas in one consistent framework and goes further by tracking historical relevance, providing interaction logs, and organizing data into actionable overlays.
For traders seeking comprehensive value context across intraday and swing horizons, this tool offers persistent and structured data views that are otherwise unavailable through individual, isolated VWAP tools.
Limitations and Disclaimers
The indicator depends on volume data. On instruments with unreliable or synthetic volume (e.g., certain spot forex or CFDs), results may not be meaningful.
Band-based interpretation should not be used as a signal mechanism on its own.
On low timeframes, longer-period VWAPs may appear flat or visually compressed.
As with any analytical tool, interpretation requires trader discretion and should be combined with broader context.
Business Cycle Indicators (Normalized)This script aggregates and normalizes several key economic indicators to provide a comprehensive view of the business cycle and overall market conditions. By combining these indicators into a single, normalized average line, the script helps identify overarching trends and shifts in the economy, aiding in more informed trading and investment decisions.
Included Indicators:
Inverted National Financial Conditions Index (NFCI):
Symbol: FRED:NFCI
Measures financial stress in the markets. An inverted NFCI aligns higher values with positive financial conditions.
Inverted Net Percentage of Banks Tightening Lending Standards (DRTSCIS):
Symbol: FRED:DRTSCIS
Reflects changes in bank lending practices. Inverting this indicator means higher values indicate easing lending standards, which is generally positive for economic growth.
HYG Close Price (iShares High Yield Corporate Bond ETF):
Symbol: AMEX:HYG
Represents the performance of high-yield corporate bonds, providing insight into credit market conditions.
Inverted High-Yield Credit Spread (BAMLH0A0HYM2):
Symbol: FRED:BAMLH0A0HYM2
Measures the spread between high-yield bonds and risk-free securities. A narrower (inverted) spread indicates better market conditions.
Manufacturing/Non-Manufacturing New Orders Ratio:
Symbols: ECONOMICS:USMNO (Manufacturing), ECONOMICS:USNMNO (Non-Manufacturing)
Compares manufacturing to non-manufacturing new orders to gauge shifts in economic activity.
US PMI (Purchasing Managers' Index):
Symbol: ECONOMICS:USBCOI
An indicator of the economic health of the manufacturing sector.
10-Year Inflation Breakeven (T10YIE):
Symbol: FRED:T10YIE
Represents market expectations of inflation over the next ten years.
Inverted 10-Year Real Yield (DFII10):
Symbol: FRED:DFII10
Reflects the real yield on 10-year Treasury Inflation-Protected Securities (TIPS). Inverted to align higher values with positive economic sentiment.
Copper/Gold Ratio:
Symbols: CAPITALCOM:COPPER (Copper), TVC:GOLD (Gold)
Compares the prices of copper and gold, often used as a barometer for global economic activity.
Features:
Normalized Indicators: Each indicator is normalized to a 0-100 scale to facilitate direct comparison, regardless of their original units or scales.
Normalized Average Line: Calculates and plots the average of all available normalized indicators, providing a single line that represents the combined economic signals.
Customizable Display:
Show Individual Indicators: Option to display individual normalized indicators for detailed analysis.
Show Normalized Average Line: Option to display the normalized average line for a consolidated view.
Dynamic Labeling: Displays the latest value of the normalized average directly on the chart for quick reference.
How to Use:
Adding the Script:
Apply the script to a chart in TradingView using a timeframe that aligns with the frequency of the economic data (daily or weekly recommended).
Customization:
Show Normalized Average Line: Enabled by default to display the combined indicator.
Show Individual Indicators: Enable this option in the script settings to display all individual normalized indicators.
Interpretation:
Normalized Scale (0-100): Higher values generally indicate stronger economic conditions, while lower values may suggest weakening conditions.
Trend Analysis: Use the normalized average line to identify trends and potential turning points in the business cycle.
Notes:
Data Availability: Ensure you have access to all the data sources used in the script. Some data feeds may require specific TradingView subscriptions.
Indicator Limitations: Economic indicators are subject to revisions and may not reflect real-time market conditions.
No Investment Advice: This script is a tool for analysis and should not be considered as financial advice. Always conduct your own research before making investment decisions.
Advanced Volume-Driven Breakout SignalsThe "Advanced Volume-Driven Breakout Signals" indicator is a cutting-edge tool designed to help traders identify high-potential trading opportunities through sophisticated volume analysis techniques. This indicator integrates volume flow analysis, moving averages, and Relative Volume (RVOL) to provide a comprehensive view of market conditions, going beyond traditional Volume Spread Analysis (VSA) methods.
Key Features:
Volume Flow Analysis: Distinguishes bullish and bearish volume flows with distinct colors, making it easier to visualize market sentiment and potential breakout points.
Volume Flow Moving Averages: Calculates moving averages for volume using various methods (SMA, EMA, WMA, HMA, VWMA), accommodating different trading strategies. This includes settings for adjusting the type of moving average and its period, as well as thresholds for high, medium, and low volume levels.
Volume Spikes Detection: Identifies significant volume spikes based on user-defined multipliers and moving averages, highlighting unusual trading activity.
Volume MA Cloud Settings: Computes general moving averages of volume to track trends and detect deviations. This feature includes options to select different moving average types and adjust thresholds for detecting high volume activity.
Relative Volume (RVOL): Measures current volume relative to historical averages, triggering signals when RVOL exceeds predefined thresholds, indicating notable changes in trading activity.
Entry Conditions: Provides clear long and short entry signals based on combined volume flow conditions and RVOL, offering actionable trading opportunities.
Volume Visualization:
— Bullish Volume Flow: Light and dark green bars indicate bullish volume flow.
— Bearish Volume Flow: Light and dark red bars denote bearish volume flow.
— High Volume Bars: Highlighted in yellow, and extreme volume bars in orange for additional context. These bars are plotted for visual aid and do not directly influence trade signals, focusing instead on the quality and strength of the volume flow.
Alerts: Allows users to create alert notifications for long and short entry signals when the criteria are met, enabling traders to respond promptly to trading opportunities.
Usage:
Overlay: Apply the indicator directly to your price chart to visualise real-time signals and volume conditions.
Customisable: Adjust settings for moving averages, RVOL, and other parameters to match your trading strategy and preferences.
Comparison to VSA Scripts: The "Advanced Volume-Driven Breakout Signals" indicator extends beyond traditional VSA scripts by incorporating a wider range of analytical features. While VSA primarily focuses on volume spread patterns and price action, this indicator offers enhanced functionality with advanced RVOL metrics, customizable moving averages, and detailed volume spike detection, making it a more versatile tool for identifying breakout opportunities and managing trades. It is particularly effective when used alongside key levels and order blocks.
Acknowledgements: Special thanks to @oh92 and @goofoffgoose for their invaluable scripts, which served as inspiration in the development of this advanced trading indicator.
Notes: The script is continually evolving, with ongoing refinements aimed at enhancing accuracy and performance.
[SGM GARCH Volatility]I'm excited to share with you a Pine Script™ that I developed to analyze GARCH (Generalized Autoregressive Conditional Heteroskedasticity) volatility. This script allows you to calculate and plot GARCH volatility on TradingView. Let's see together how it works!
Introduction
Volatility is a key concept in finance that measures the variation in prices of a financial asset. The GARCH model is a statistical method that predicts future volatility based on past volatilities and prediction residuals (errors).
Indicator settings
We define several parameters for our indicator:
length = input.int(20, title="Length")
p = input.int(1, title="Lag order (p)")
q = input.int(1, title="Degree of moving average (q)")
cluster_value = input(0.2,title="cluster value")
length: The period used for the calculations, default 20.
p: The order of the delay for the GARCH model.
q: The degree of the moving average for the GARCH model.
cluster_value: A threshold value used to color the graph.
Calculation of logarithmic returns
We calculate logarithmic returns to capture price changes:
logReturns = math.log(close) - math.log(close )
Initializing arrays
We initialize arrays to store residuals and volatilities:
var float residuals = array.new_float(length, 0)
var float volatilities = array.new_float(length, 0)
We add the new logarithmic returns to the tables and keep their size constant:
array.unshift(residuals, logReturns)
if (array.size(residuals) > length)
array.pop(residuals)
We then calculate the mean and variance of the residuals:
meanResidual = array.avg(residuals)
varianceResidual = array.stdev(residuals, meanResidual)
volatility = math.sqrt(varianceResidual)
We update the volatility table with the new value:
array.unshift(volatilities, volatility)
if (array.size(volatilities) > length)
array.pop(volatilities)
GARCH volatility is calculated from accumulated data:
var float garchVolatility = na
if (array.size(volatilities) >= length and array.size(residuals) >= length)
alpha = 0.1 // Alpha coefficient
beta = 0.85 // Beta coefficient
omega = 0.01 // Omega constant
sumVolatility = 0.0
for i = 0 to p-1
sumVolatility := sumVolatility + beta * math.pow(array.get(volatilities, i), 2)
sumResiduals = 0.0
for j = 0 to q-1
sumResiduals := sumResiduals + alpha * math.pow(array.get(residuals, j), 2)
garchVolatility := math.sqrt(omega + sumVolatility + sumResiduals)
Plot GARCH volatility
We finally plot the GARCH volatility on the chart and add horizontal lines for easier visual analysis:
plt = plot(garchVolatility, title="GARCH Volatility", color=color.rgb(33, 149, 243, 100))
h1 = hline(0.1)
h2 = plot(cluster_value)
h3 = hline(0.3)
colorGarch = garchVolatility > cluster_value ? color.red: color.green
fill(plt, h2, color = colorGarch)
colorGarch: Determines the fill color based on the comparison between garchVolatility and cluster_value.
Using the script in your trading
Incorporating this Pine Script™ into your trading strategy can provide you with a better understanding of market volatility and help you make more informed decisions. Here are some ways to use this script:
Identification of periods of high volatility:
When the GARCH volatility is greater than the cluster value (cluster_value), it indicates a period of high volatility. Traders can use this information to avoid taking large positions or to adjust their risk management strategies.
Anticipation of price movements:
An increase in volatility can often precede significant price movements. By monitoring GARCH volatility spikes, traders can prepare for potential market reversals or accelerations.
Optimization of entry and exit points:
By using GARCH volatility, traders can better identify favorable times to enter or exit a position. For example, entering a position when volatility begins to decrease after a peak can be an effective strategy.
Adjustment of stops and objectives:
Since volatility is an indicator of the magnitude of price fluctuations, traders can adjust their stop-loss and take-profit orders accordingly. Periods of high volatility may require wider stops to avoid being exited from a position prematurely.
That's it for the detailed explanation of this Pine Script™ script. Don’t hesitate to use it, adapt it to your needs and share your feedback! Happy analysis and trading everyone!
Elliot wavesA script marking Elliot waves on a chart.
This script can be used by any user. There is no need to have a PRO or PREMIUM account.
Script with limited access, contact author to get authorization
According to Elliott, a market cycle consists of eight waves. 5 upward waves and 3 downward waves following them, which are their corrections. In up and down movements, the odd waves are in the direction of the movement, and the even waves are their corrections. Analyzing in more detail, each direction movement again consists of 5 waves, and each correction consists of 3 waves.
The symbols used are non-standard (result of platform limitations):
Trend moves ⠀⠀⠀⠀⠀|⠀⠀Correction moves
𝐈 𝐈𝐈 𝐈𝐈𝐈 𝐈𝐕 𝐕 ⠀⠀⠀⠀⠀ |⠀⠀⠀ 𝐚 𝐛 𝐜
𝟏 𝟐 𝟑 𝟒 𝟓 ⠀⠀⠀⠀⠀⠀⠀|⠀⠀⠀ 𝐀 𝐁 𝐂
I II III IV V ⠀⠀⠀⠀⠀⠀⠀|⠀⠀⠀ a b c
1 2 3 4 5 ⠀⠀⠀⠀⠀⠀⠀ |⠀⠀⠀ A B C
(I) (II) (III) (IV) (V) ⠀ |⠀⠀⠀(a) (b) (c)
(1) (2) (3) (4) (5)⠀⠀ |⠀⠀⠀(A) (B) (C)
➀ ➁ ➂ ➃ ➄ ⠀⠀⠀⠀⠀ |⠀⠀⠀Ⓐ Ⓑ Ⓒ
❶ ❷ ❸ ❹ ❺ ⠀⠀⠀⠀⠀ |⠀⠀⠀🅐 🅑 🅒
This script is a part of the "Elliot waves" toolkit and require initial calibration done with separate script: "Elliot waves calibrator". Elliot waves calibrator will generate a set of numbers that you need to copy to Calibration params in script settings. Proper instruction will be shown on the screen.
Script settings:
Calibration - Fields used for script calibration.
Levels - Param deciding how many levels of waves should be shown on the chart. 0 is showing only the main waves, with +1 increase adding one more level of details.
Vertex filter - Filter eliminating highs and lows that are not an extreme over area width equal to vertex filter value.
8 sets of trend configurations, where you can specify: visiblity, line color, line width
Labels configuration where you can specify: visiblity, text size and text color.
Troubleshooting:
In case of any problems, please send error details to the author of the script.
Сoncentrated Market Maker Strategy by oxowlConcentrated Market Maker Strategy by oxowl. This script plots an upper and lower bound for liquidity provision, and checks for rebalancing conditions. It also includes alert conditions for when the price crosses the upper or lower bounds.
Here's an overview of the script:
It defines the input parameters: liquidity range percentage, rebalance frequency in minutes, and minimum trade size in assets.
It calculates the upper and lower bounds for liquidity provision based on the liquidity range percentage.
It initializes variables for the last rebalance time and price.
It defines a rebalance condition based on the frequency and current price within the specified range.
If the rebalance condition is met, it updates the last rebalance time and price.
It plots the upper and lower bounds on the chart as lines and adds price labels for both bounds.
It defines alert conditions for when the price crosses the upper or lower bounds.
Finally, it creates alert conditions with appropriate messages for when the price crosses the upper or lower bounds.
Concentrated liquidity is a concept often used in decentralized finance (DeFi) market-making strategies. It allows liquidity providers (LPs) to focus their liquidity within a specific price range, rather than across the entire price curve. Using an indicator with concentrated liquidity can offer several advantages:
Increased capital efficiency: Concentrated liquidity allows LPs to allocate their capital within a narrower price range. This means that the same amount of capital can generate more significant price impact and potentially higher returns compared to providing liquidity across a broader range.
Customized risk exposure: LPs can choose the price range they feel most comfortable with, allowing them to better manage their risk exposure. By selecting a range based on their market outlook, they can optimize their positions to maximize potential returns.
Adaptive strategies: Indicators that support concentrated liquidity can help traders adapt their strategies based on market conditions. For example, they can choose to provide liquidity around a stable price range during low-volatility periods or adjust their range when market conditions change.
To continue integrating this script into your trading strategy, follow these steps:
Import the script into your TradingView account. Navigate to the Pine editor, paste the code, and save it as a new script.
Apply the indicator to a trading pair chart. You can customize the input parameters (liquidity range percentage, rebalance frequency, and minimum trade size) based on your preferences and risk tolerance.
Set alerts for when the price crosses the upper or lower bounds. This will notify you when it's time to take action, such as adding or removing liquidity, or rebalancing your position.
Monitor the performance of your strategy over time. Adjust the input parameters as needed to optimize your returns and manage risk effectively.
(Optional) Integrate the script with a trading bot or automation platform. If you're using an API-based trading solution, you can incorporate the logic and conditions from the script into your bot's algorithm to automate the process of providing concentrated liquidity and rebalancing your positions.
Remember that no strategy is foolproof, and past performance is not indicative of future results. Always exercise caution when trading and carefully consider your risk tolerance.
Hikkake Hunter 2.0This script serves as a successor to a previous script I wrote for identifying Hikkakes nearly two years ago.
The old version has been preserved here:
█ OVERVIEW
This script is a rework of an old script that identified the Hikkake candlestick pattern. While this pattern is not usually considered a part of the standard candlestick patterns set, I found a lot of value when finding a solution to identifying it. A Hikkake pattern is a 3-candle pattern where a middle candle is nested in between the range of the prior candle, and a candle that follows has a higher high and a higher low (bearish setup) or a lower high and a lower low (bullish setup). What makes this pattern unique is the "confirmation" status of the pattern; within 3 candles of this pattern's appearance, there must be a candle that closes above the high (bullish setup) or below the low (bearish setup) of the second candle. Additional flexibility has been added which allows the user to specify the number of candles (up to 5) that the pattern may have to confirm after its appearance.
█ CONCEPTS
This script will cover concepts mainly focusing on candlestick analysis, price analysis (with higher timeframes), and statistical analysis. I believe there is also educational value presented with the use of user-defined-types (UDTs) in accomplishing these concepts that I hope others will find useful.
Candlestick Analysis - Identification and confirmation of the patterns in the deprecated script were clunky and inefficient. While the previous script required the use of 6 candles to perform the confirmations of patterns (restricted solely to identifying patterns that confirmed in 3 candles or less), this script only requires 3 candles to identify and process patterns by utilizing a UDT representing a 'pattern object'. An object representing a pattern will be created when it has been identified, and fields within that object will be set for processing by the functions it is passed to. Pattern objects are held by a var array (values within the array persist between bars) and will be removed from this array once they have been confirmed or non-confirmed.
This is a significant deviation from the previous script's methods, as it prevents unnecessary re-evaluations of the confirmation status of patterns (i.e. Hikkakes confirmed on the first candle will no longer need to be checked for confirmations on the second or third; a pitfall of the deprecated version which required multiple booleans tracking prior confirmation statuses). This deviation is also what provides the flexibility in changing the number of candles that can pass before a pattern is deemed non-confirmed.
As multiple patterns can be confirmed simultaneously, this script uses another UDT representing a linked-list reduction of the pattern object used to process it. This liked-list object will then be used for Price Analysis.
Price Analysis - This script employs the use of a UDT which contains all the returns of confirmed patterns. The user specifies how many candles ahead of the confirmed pattern to calculate its return, as well as where this calculation begins. There are two settings: FROM APPEARANCE and FROM CONFIRMATION (default). Price differences are calculated from the open of the candle immediately following the candle which had confirmed the pattern to the close of the candle X candles ahead (default 10). ( SEE FEATURES )
Because of how Pine functions, this calculation necessitates a lookback on prior candles to identify when a pattern had been confirmed. This is accomplished with the following pseudo-code:
if not na(confirmed linked-list )
for all confirmed in list
GET MATRIX PLACEMENT
offset = FROM CONFIRMATION ? 0 : # of candles to confirm
openAtFind = open
percent return = ((close - openAtFind) / openAtFind) * 100
ADD percent return TO UDT IN MATRIX
All return UDTs are held in a matrix which breaks up these patterns into specific groups covered in the next section.
Higher Timeframes - This script makes a request.security call to a higher timeframe in order to identify a price range which breaks up these patterns into groups based on the 'partition' they had appeared in. The default values for this partitioning will break up the chart into three sections: upper, middle, and lower. The upper section represents the highest 20% of the yearly trading range that an asset has experienced. The lower section represents the trading range within a third (33%) of the yearly low. And the middle section represents the yearly high-low range between these two partitions.
The matrix containing all return UDTs will have these returns split up based on the number of candles required to confirm the pattern as well as the partition the pattern had appeared in. The underlying rationale is that patterns may perform better or worse at different parts of an asset's trading range.
Statistical Analysis - Once a pattern has been confirmed, the matrix containing all return UDTs will be queried to check if a 'returnArray' object has been created for that specific pattern. If not, one will be initialized and a confirmed linked-list object will be created that contains information pertinent to the matrix position of this object.
This matrix contains the returns of both the Bullish and Bearish Hikkake patterns, separated by the number of candles needed to confirm them, and by the partitions they had appeared in. For the standard 3 candles to confirm, this means the matrix will contain 18 elements (dependent on the number of candles allowed for confirmations; its size will range from 12 to 30).
When the required number of candles for Price Analysis passes, a percent return is calculated and added to the returnArray contained in the matrix at the location derived from the confirmed linked-list object's values. The return is added, and all values in the returnArray are updated using Pine's built in array.___ functions. This returnArray object contains the array of all returns, its size, its average, the median, the standard deviation of returns, and a separate 3-integer array which holds values that correspond to the types of returns experienced by this pattern (negative, neutral, and positive)*.
After a pattern has been confirmed, this script will place the partition and all of the aforementioned stats values (plus a 95% confidence interval of expected returns) related to that pattern onto the tooltip of the label that identifies it. This allows users to scroll over the label of a confirmed pattern to gauge its prior performance under specific conditions. The percent return of the specific pattern identified will later be placed onto the label tooltip as well. ( SEE LIMITATIONS )
The stats portion of this script also plays a significant role in how patterns are presented when using the Adaptive Coloring mode described in FEATURES .
*These values are incremented based on user-input related to what constitutes a 'negative' or 'positive' return. Default values would place any return by a pattern between -3% and 3% in the 'neutral' category, and values exceeding either end will be placed in the 'negative' or 'positive' categories.
█ FEATURES
This script contains numerous inputs for modifying its behavior and how patterns are presented/processed, separated into 5 groups.
Confirmation Setting - The most important input for this script's functioning. This input is a 'confirm=true' input and must be set by the user before the script is applied to the chart. It sets the number of candles that a pattern has to confirm once it has been identified.
Alert Settings - This group of booleans sets which types of alerts will fire during the scripts execution on the chart. If enabled, the four alerts will trigger when: a pattern has been identified, a pattern has been confirmed, a pattern has been non-confirmed, and show the return for that confirmed pattern in an alert. Because this script uses the 'alert' function and not 'alertcondition', these must be enabled before 'any alert() function call' is set in TradingView's 'alerts' settings.
Partition Settings - This group of inputs are responsible for creating (and viewing) the partitions that breaks the returns of the patterns identified up into their respective groups. The user may set the resolution to grab the range from, the length back of this resolution the partitions get their values from, the thresholds which breaks the partitions up into their groups, and modify the visibility (if they're shown, the colors, opacity) of these partitions.
Stats Settings - These inputs will drastically alter how patterns are presented and the resulting information derived from them after their appearance. Because of this section's importance, some of these inputs will be described in more detail.
P/L Sample Length - Defines the number of candles after the starting point to grab values from in the % return calculation for that pattern.
P/L Starting Point - Defines the starting point where the P/L calculation will take place. 'FROM APPEARANCE' will set the starting point at the candle immediately following the pattern's appearance. 'FROM CONFIRMATION' will place the starting point immediately following the candle which had confirmed the pattern. ( SEE LIMITATIONS )
Min Returns Needed - Sets how many times a specific pattern must appear (both by number of candles needed to confirm and by partition) before the statistics for that pattern are displayed onto the tooltip (and for gradient coloration in Adaptive Coloring mode).
Enable Adaptive Coloring - Changes the coloration of the patterns based on the bullish/bearishness of the specified Gradient Reference value of that pattern compared to the Return Tolerance values OR the minimum and maximum values of that specified Gradient Reference value contained in the matrix of all returns. This creates a color from a gradient using the user-specified colors and alters how many of the patterns may appear if prior performance is taken into account.
Gradient Reference - Defines which stats measure of returns will be used in the gradient color generation. The two settings are 'AVG' and 'MEDIAN'.
Hard Limit - This boolean sets whether the Return Tolerance values will not be replaced by values that exceed them from the matrix of returns in color gradient generation. This changes the scale of the gradient where any Gradient Reference values of patterns that exceed these tolerances will be colored the full bullish or bearish gradient colors, and anything in between them will be given a color from the gradient.
Visibility Settings - This last section includes all settings associated with the overall visibility of patterns found with this script. This includes the position of the labels and their colors (+ pattern colors without Adaptive Coloring being enabled), and showing patterns that were non-confirmed.
Most of these inputs in the script have these kinds of descriptions to what they do provided by their tooltips.
█ HOW TO USE
I attempted to make this script much easier to use in terms of analyzing the patterns and displaying the information to the user. The previous script would have the user go to the 'data window' side bar on TradingView to view the returns of a pattern after they had specified which pattern to analyze through the settings, needlessly convoluted. This aim at simplicity was achieved through the use of UDTs and specific code-design.
To use, simply apply the indicator to a chart, set the number of candles (between 2 and 5) for confirming this specific pattern and adjust the many settings described above at your leisure.
█ LIMITATIONS
Disclaimer - This is a tool created with the hopes of helping identify a specific pattern and provide an informative view about the performance of that pattern. Previous performance is not indicative of future results. None of this constitutes any form of financial advice, *use at your own risk*.
Statistical Analysis - This script assumes that all patterns will yield a NORMAL DISTRIBUTION regarding their returns which may not be reflective of reality. I personally have limited experience within the field of statistics apart from a few high school/college courses and make no guarantees that the calculation of the 95% confidence interval is correct. Please review the source code to verify for yourself that this interval calculation is correct (Function Name: f_DisplayStatsOnLabel).
P/L Starting Point - Because of when the object related to the confirmation status of a pattern is created (specifically the linked-list object) setting the 'P/L Starting Point' to 'FROM APPEARANCE' will yield the results of that P/L calculation at the same time as 'FROM CONFIRMATION'.
█ EXAMPLES
Default Settings:
Partition Background (default):
Partition Background (Resolution D : Length 30):
Adaptive Coloration:
Show Non-Confirmed:
[@btc_charlie] Trader XO Macro Trend ScannerWhat is this script?
This script has two main functions focusing on EMAs (Exponential Moving Average) and Stochastic RSI.
EMAs
EMAs are typically used to give a view of bullish / bearish momentum. When the shorter EMA (calculated off more recent price action) crosses, or is above, the slower moving EMA (calculated off a longer period of price action), it suggests that the market is in an uptrend. This can be an indication to either go long on said asset, or that it is more preferable to take long setups over short setups. Invalidation on long setups is usually found via price action (e.g. previous lows) or simply waiting for an EMA cross in the opposite direction (i.e. shorter EMA crosses under longer term EMA).
This is not a perfect system for trade entry or exit, but it does give a good indication of market trends. The settings for the EMAs can be changed based on user inputs, and by default the candles are coloured based on the crosses to make it more visual. The default settings are based on “Trader XO’s” settings who is an exceptional swing trader.
RSI
Stochastic RSI is a separate indicator that has been added to this script. RSI measures Relative Strength (RSI = Relative Strength Index). When RSI is <20 it is considered oversold, and when >80 it is overbought. These conditions suggests that momentum is very strong in the direction of the trend.
If there is a divergence between the price (e.g. price is creating higher highs, and stoch RSI is creating lower highs) it suggests the strength of the trend is weakening. Whilst this script does not highlight divergences, what it does highlight is when the shorter term RSI (K) crosses over D (the average of last 3 periods). This can give an indication that the trend is losing strength.
Combination
The EMAs indicate when trend shifts (bullish or bearish).
The RSI indicates when the trend is losing momentum.
The combination of the two can be used to suggest when to prefer a directional bias, and subsequently shift in anticipation of a trend reversal.
Note that no signal is 100% accurate and an interpretation of market conditions and price action will need to be overlayed to
Why is it different to others?
I have not found other scripts that are available in this way visually including alerts when Stoch RSI crosses over/under the extremes; or the mid points.
Whilst these indicators are default, the combination of them and how they are presented is not and makes use of the TradingView colouring functionalities.
What are the features?
Customise the variables (averages) used in the script.
Display as one EMA or two EMAs (the crossing ones).
Alerts on EMA crosses.
Alerts on Stoch RSI crosses - slow/fast, upper, lower areas.
- Currently set on the chart to show alerts when Stoch RSI is above 80, then falls below 80 (and colours it red).
Customisable colours.
What are the best conditions for this?
It is designed for high timeframe charts and analysis in crypto, since crypto tends to trend.
It can however be used for lower timeframes.
Disclaimer/Notes:
I have noticed several videos appearing suggesting that this is a "100% win rate indicator" .
NO indicator has 100% win rate.
An indicator is an *indicator* that is all.
Please use responsibly and let me know if there are any mods or updates you would like to see.
PriceCatch Breakout Signals IOHi TradingView Community.
Here is a script that identifies and marks two different breakout levels on the chart. It works on all instruments - equities, forex, crypto & commodities.
Probable Breakout Buy Level
Stop-Reverse Buy Level
The above chart is self-explanatory. The script uses two different formulas to look out for breakouts. This logic opens up more opportunities.
As the levels are marked in advance before the breakouts occur, it will give traders ample time to study further and plan the trade.
PLAYING SAFE
After taking the trade, to play safe, I follow this method that once the Low of the price goes above the Breakout Level, I usually shift the stop loss to buy price to protect against any sudden reversal. For me protecting capital is important. As usual with price action, longer time-frames produce more reliable signals.
STOP LOSS
While the initial stop level is suggested, traders may also use the ATR to set stop loss. Users may find my free script 'ATR value on Chart' useful.
NOTE - PRIOR TO USING THIS SCRIPT:
You may use this script in addition to your other indicators or independently. Please remember that the script is shared with absolutely no assurances and warranties whatsoever regarding usability and as a responsible trader, please satisfy yourselves thoroughly and use it only if you are convinced it works for you. Remember, you are 100% responsible for your actions. If you understand and accept that, you may use the script. The script does not identify any short signals.
QUERIES/FEEDBACK
Please PM me.
Regards to all and wish everyone all the best with trading.
Barholle eMA and RSI Movement TestThis is a test that offers insight into whether and asset is heading into bullish or bearish territory.
This indicator/test offers insight into the Exponential Moving Average's velocity and acceleration as well as the Stochastic RSI's velocity, acceleration and jerk. Included is a 'Stochastic Difference' and 'Stochastic Growth' indicators (commented out) that measure the difference between K and D in the Stoch RSI as well as the rate of it's change. This test is all about crossovers - the best leading indicator is a downward cross of the eMA velocity over the eMA acceleration, indicating a drop in price in the current or next bar.
The lines or importance have been set to -2 and 5, but these should be adjusted to suit your preferences. These numbers were chosen in order to try and create some kind of threshold after which action might be suggested. Backtesting is highly recommended so you can see how the test does and does not work. It is super powerful, but it is not omniscient - its an RSI and eMA derivative, past success does not necessarily dictate future success.
Please look at the code for several more plots you can use of derivatives and other ideas explore but commented out for greater legibility of the graph. Commenting and commenting (or uncommenting all and just disabling some in the settings) and comparing the graphs and crossovers is a useful exercise. To that end, one last concept - the MARSI - a combined moving averages and RSI measurement - was abandoned because it didn't appear to indicate anything of use, however you may find crossovers or patterns with it comparing it to other graphs, so it was left in but commented.
Please take a look at the comments and all the math and indicators 'left on the cutting room floor' in the script. Maybe you'll find a gem in the redux version of this script.
Outreach regarding the script, patterns noticed and full-on stealing of the script are all permitted. Many elements of this script were nabbed from other scripts - thank you to a community of coders who put it all out there.