PriceCatch-Signals - Buy SignalHi,
TradingView Community.
Here is a script that identifies and marks two different buy levels on the chart. It works on all asset classes - equities, forex, crypto.
Probable Breakout Buy Level
Stop-Reverse Buy Level
The bottom images are self-explanatory.
PROBABLE BREAKOUT BUY LEVEL EXAMPLE:
STOP-REVERSE BUY LEVEL EXAMPLE:
IDENTIFICATION OF LEVELS:
The Blue Dotted line represents Probable Breakout Buy Level and the Blue Dashed Line Stop-Reverse Buy Level. The corresponding Red Dotted line below each level should be your initial stop loss price point.
PLAYING SAFE
After taking the trade, to play safe, I follow this method that once the Low of the price goes above the Buy 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.
NOTE - PRIOR TO USING THIS SCRIPT:
The script uses Heikin-Ashi Candles data to identify the levels. You may use this script in addition to your other indicators or in isolation. Please remember that the script is shared with absolutely no assurances and warranties whatsoever and as a responsible trader, please satisfy yourselves thoroughly and use it only if you are satisfied 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.
ADDITIONAL NOTE:
I shall also be releasing Screener scripts that scan the following markets for the above two conditions or signals thereby helping traders spot opportunities at the right time by making the task of finding right stocks a breeze.
NASDAQ Stocks Screener (Can screen a total number of 160 stocks. 40 stocks at a time)
UK LSE Stocks Screener (Can screen a total number of 90 stocks. 30 stocks at a time)
Euronext Paris Stocks Screener (Can screen a total number of 50 stocks. 25 stocks at a time) - in development.
Singapore Stocks Screener is in development
Other International exchanges will be added based on response from users.
SOME MORE CHARTS:
QUERIES/FEEDBACK
Please PM me.
Regards to all and wish everyone all the best with trading.
Pesquisar nos scripts por "the script"
PriceCatch-SignalsHi,
TradingView Community.
Here is a script that identifies and marks two different buy levels on the chart. It works on all asset classes - equities, forex, crypto.
Probable Breakout Buy Level
Stop-Reverse Buy Level
The bottom images are self-explanatory.
PROBABLE BREAKOUT BUY LEVEL EXAMPLE:
STOP-REVERSE BUY LEVEL EXAMPLE:
IDENTIFICATION OF LEVELS:
The Blue Dotted line represents Probable Breakout Buy Level and the Blue Dashed Line Stop-Reverse Buy Level. The corresponding Red Dotted line below each level should be your initial stop loss price point.
PLAYING SAFE
After taking the trade, to play safe, I follow this method that once the Low of the price goes above the Buy 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.
NOTE - PRIOR TO USING THIS SCRIPT:
The script uses Heikin-Ashi Candles data to identify the levels. You may use this script in addition to your other indicators or in isolation. Please remember that the script is shared with absolutely no assurances and warranties whatsoever and as a responsible trader, please satisfy yourselves thoroughly and use it only if you are satisfied 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.
ADDITIONAL NOTE:
I shall also be releasing Screener scripts that scan the following markets for the above two conditions or signals thereby helping traders spot opportunities at the right time by making the task of finding right stocks a breeze.
NASDAQ Stocks Screener (Can screen a total number of 160 stocks. 40 stocks at a time)
UK LSE Stocks Screener (Can screen a total number of 90 stocks. 30 stocks at a time)
Euronext Paris Stocks Screener (Can screen a total number of 50 stocks. 25 stocks at a time) - in development.
Singapore Stocks Screener is in development
Other International exchanges will be added based on response from users.
SOME MORE CHARTS:
QUERIES/FEEDBACK
Please PM me.
Regards to all and wish everyone all the best with trading.
PriceCatch-SignalsHi,
TradingView Community.
Here is a script that identifies and marks two different buy levels on the chart. It works on all asset classes - equities, forex, crypto.
Probable Breakout Buy Level
Stop-Reverse Buy Level
The bottom images are self-explanatory.
PROBABLE BREAKOUT BUY LEVEL EXAMPLE:
STOP-REVERSE BUY LEVEL EXAMPLE:
IDENTIFICATION OF LEVELS:
The Blue Dotted line represents Probable Breakout Buy Level and the Blue Dashed Line Stop-Reverse Buy Level. The corresponding Red Dotted line below each level should be your initial stop loss price point.
PLAYING SAFE
After taking the trade, to play safe, I follow this method that once the Low of the price goes above the Buy 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.
NOTE - PRIOR TO USING THIS SCRIPT:
The script uses Heikin-Ashi Candles data to identify the levels. You may use this script in addition to your other indicators or in isolation. Please remember that the script is shared with absolutely no assurances and warranties whatsoever and as a responsible trader, please satisfy yourselves thoroughly and use it only if you are satisfied 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.
ADDITIONAL NOTE:
I shall also be releasing Screener scripts that scan the following markets for the above two conditions or signals thereby helping traders spot opportunities at the right time by making the task of finding right stocks a breeze.
NASDAQ Stocks Screener (Can screen a total number of 160 stocks. 40 stocks at a time)
UK LSE Stocks Screener (Can screen a total number of 90 stocks. 30 stocks at a time)
Euronext Paris Stocks Screener (Can screen a total number of 50 stocks. 25 stocks at a time) - in development.
Singapore Stocks Screener is in development
Other International exchanges will be added based on response from users.
SOME MORE CHARTS:
QUERIES/FEEDBACK
Please PM me.
Regards to all and wish everyone all the best with trading.
Adapting a built-in [PineCoders]█ OVERVIEW
This Pine script shows how it can be quite simple to personalize a built-in indicator for your needs.
█ OUR SCRIPT
Our objective was to add the current values for volume and its moving average in prominent view, and use brighter colors than the built-in.
We started with the source code from the "Volume" built-in indicator. You can access the source code of many built-ins from the Pine Editor by clicking the "Open" button and choosing "New default built-in script..."
We changed the variable names so they conform to our Coding Conventions . Everybody is of course free to code their scripts the way they want; the conventions provide guidelines for those interested in Pine-specific recommendations. We use our conventions to make our code more readable, which helps readers of open-source publications. As Uncle Bob, a.k.a. Robert Cecil Martin, argues in his "Clean Code" book, code that is easier to read is also useful for its first user: you.
We assigned the colors we use to constants because they are used in multiple places in the script. If we decide to change them, we only need to change the constant definitions for the change to trickle down to the rest of the code.
We used the `inline` and `tooltip` parameters of input() to better organize our inputs and provide extra information under an "i" icon when needed.
We wanted to pack more information in the display of the moving average and volume than just the values, so we color-coded their background:
• When the MA is rising, the background of its table cell is in the bull color, otherwise it's in the bear color. The period used for the MA is also displayed in that cell's legend.
• When the current volume's value is higher/lower than its MA, the background of its cell is of bull/bear color.
We use a Pine table to display our values. We use extra cells to provide a configurable margin to the left, and a small space between the two values.
Because we only use constant colors in this script (i.e., values that are known at compile time), users can change the colors in the "Setting/Style" tab's color widgets. Users of the script can also use the tab to change other attributes of the plots.
Look first. Then leap.
Point and Figure Chart - LiveHello Traders,
This is "Point and Figure Chart (PnF)" script that run in separated window in real time. The separated PnF chart window is timeless, so no relation with the time on the chart. PnF chart consist of "X" and "O" columns. While "X" columns represents rising prices, "O" column represents a falling price. If you have no idea about what PnF charting is then you should search for "Point and Figure Charting" on the net and get some info before using this script.
Now lets talk about details. PnF Chart requires at least two variables to be set => Box size and Reversal. Box size represents the size of each X/O in PnF chart and the reversal is used to calculate new X/O or reversal. for example if currrent column is X column then for new "X", "box size * 1" move is needed and for new "O" column or reversal, "box size * revelsal" move is needed. in the script I use lines as X/O columns.
In the options you can set "Box Size Assingment Method". you have 3 options Traditional, ATR, Percentage . what are they?
Traditional: user-defined box size, means you can set the box size as you wish, using the option . if you use this option then you should set it accordingly.
ATR : that's dynamic box size scaling and on each columns it's calculated once, you can set length for ATR
Percentage: that's also dynamic box size scaling according to closing price when new column appeared. if you use this option then you should set it accordingly.
Reversal: The reversal is typically 3 but you can change it as you wish
"Change Bar Color by PnF Trend": if you enable this option then bar color changes by PnF columns, by default it's not enabled
"Change Column Color When Breakout Occurs": PnF color changes if Double Top/Bottom breakout accours. enabled by default and you can set the colors as you wish using the options
"Change Bar Color When Breakout Occurs": bar colors changed if Double Top/Bottom breakout accours. enabled by default and you can set the colors as you wish using the options
the script checks only Double Top/Bottom breakouts at the moment. there are many other breakouts such Triple/Quadruple, Ascending/Descending Triple Top/Bottom breakouts, Catapult etc.
Also the script shows new X/O level and reversal Levels in PnF window. An example:
If you enable "Change Bar Color by PnF Trend" option:
An example if you disable the option "Change Column Color When Breakout Occurs
You may want to see my another/older "Point and Point Chart" script as well. you can find it in my profile/published scripts and in the Public Library. I use same PnF calculation algorithm in both scripts.
Enjoy!
Stock Vn Signal Buy Sell Pro [PlungerMen]Vn Stock Signal Buy Sell Pro , mix 2 indicaror in it for exactly Signal
This Script is perfectly functional and works well by me and the best way to use this script is to use it with “Long Short" script, both compliment for each other. the "Long Short" script is Free, you can find it by searching
If you want to be more accurate and more efficient, more comfortable when you do not want to see too many other indicators, you can register for our Professional edition.
- The Professional Edition supports Level 1 and Level 2 commands ( display at chart : LONG+, long-, SHORT,+,short- ), which are very effective in allocating funds and optimizing your profits
Besides that,You will be supported by personal preferences, profit maximization -2.64% -1.30% -3.21% -3.33% -3.27% Scalping Pro and B Long Short Pro
- We will invite you to the signal channel Telgram with the announcement of the bottom and the peak of the BTC -3.11% -2.64% -1.30% -3.21% -3.33% -3.27% 0.60% -0.13% ,the big variable variable has exists
**We hope you enjoy this script. Your support will help us develop more good quality scripts in the future to serve the community **
**Remember, Like this script and posivite feedback if you are satisfied**
if you have any questions, post a comment ... below here
*********** Guide:
+ option for all frames : Click setting and input high and low for time inteval
+ hide wave trend : Click setting -> click Style --> Up trend Fill or Down trend fill
******
New features: this time we add two lines that can help traders trader safer. When the red line cross above the green line means we are in the downtrend and when the green line cross above the red line, which means we are in a uptrend. This new features will help traders do a safer trade at small time frame.
We have the Script free for the user pass, search keyword " Vn Stock Signal Buy Sell Pro "
-->> 0.2 eth/1 month will be used Script: Vn Stock Signal Buy Sell Pro Pro an Super Bot alert telegram <--
Forex Signal buy sell Pro [PlungerMen]Forex Signal buy sell Pro , mix 2 indicaror in it for exactly Signal
This Script is perfectly functional and works well by me and the best way to use this script is to use it with “Long Short" script, both compliment for each other. the "Long Short" script is Free, you can find it by searching
If you want to be more accurate and more efficient, more comfortable when you do not want to see too many other indicators, you can register for our Professional edition.
- The Professional Edition supports Level 1 and Level 2 commands ( display at chart : LONG+, long-, SHORT,+,short- ), which are very effective in allocating funds and optimizing your profits
Besides that,You will be supported by personal preferences, profit maximization -2.64% -1.30% -3.21% -3.33% -3.27% Scalping Pro and B Long Short Pro
- We will invite you to the signal channel Telgram with the announcement of the bottom and the peak of the BTC -2.64% -1.30% -3.21% -3.33% -3.27% 0.60% -0.13% ,the big variable variable has exists
**We hope you enjoy this script. Your support will help us develop more good quality scripts in the future to serve the community **
**Remember, Like this script and posivite feedback if you are satisfied**
if you have any questions, post a comment ... below here
*********** Guide:
+ option for all frames : Click setting and input high and low for time inteval
+ hide wave trend : Click setting -> click Style --> Up trend Fill or Down trend fill
******
New features: this time we add two lines that can help traders trader safer. When the red line cross above the green line means we are in the downtrend and when the green line cross above the red line, which means we are in a uptrend. This new features will help traders do a safer trade at small time frame.
We have the Script free for the user pass, search keyword " Bitmex Scalping PlungerMen"
-->> 0.2 eth/1 month will be used Script: BForex Signal buy sell Pro an Super Bot alert telegram <--
Bitmex Scalping PRO [PlungerMen]Hello!
Bitmex Scalping PRO can use for every coin
Bitmex Scalping PRO Available option for all frames
This Script is very well used as it works by itself and very well used in conjunction with the "Bitmex Long Short" script, both compliment for each other. the "Bitmex Long Short" script is Free, you can find it
If you want to be more accurate and more efficient, more comfortable when you do not want to see too many other indicators, you can register for our Professional edition.
- The Professional Edition supports Level 1 and Level 2 commands ( display at chart : LONG+, long-, SHORT,+,short- ), which are very effective in allocating funds and optimizing your profits
Besides that,You will be supported by personal preferences, profit maximization
- Register for a Professional version will be used 2 Script,Bimex Scalping Pro and Bitmex Long Short Pro
- We will invite you to the signal channel Telgram with the announcement of the bottom and the peak of the BTC -0.13% ,the big variable variable has exists
**We hope you enjoy this script. Your support will help us develop more good quality scripts in the future to serve the community **
**Remember, Like this script and posivite feedback if you are satisfied**
if you have any questions, post a comment ... below here
*********** Guide:
+ option for all frames : Click setting and input high and low for time inteval
+ hide wave trend : Click setting -> click Style --> Up trend Fill or Down trend fill
******
We have the Script free for the user pass, search keyword " Bitmex Scalping PlungerMen"
-->> 0.2 eth/1 month will be used 2 Script: Bimex Scalping Pro and Bitmex Long Short Pro <--
Thanks !
MM8 Best Regression ChannelMM8 Best Regression Channel — Smart regression channel with auto-optimized length and density histogram
\ Summary\
This indicator automatically searches the optimal regression length (optimalLength) between 50 and 200 (step 5) and draws a channel whose effective width is minimized. It then overlays a color-gradient regression channel plus a compact, right-edge density histogram to show where price spends most of its time inside the channel. The goal is to blend mean-reversion context with breakout assessment in a clean, visual way.
\ How it works\
1. Length optimization: For each candidate length (50…200, step 5) the script computes variance of the source and its linear correlation with time (bar\_index). Residual volatility (MAD proxy) is estimated via sqrt(v − v\*r^2). The channel width is evaluated as 2×MAD with an internal optimizer multiplier (mult\_opt = 2.0). The length that yields the smallest effective width is selected as optimalLength.
2. Regression and channel: Using optimalLength, the slope (alpha) and intercept (beta) are derived from source vs. bar\_index. Upper/lower channel boundaries are set at ±MAD scaled by the user “Multiplier”.
3. Density histogram: The channel span is split into N bins. For each bin, the script counts how many of the last optimalLength bars fall inside that band and draws a short horizontal tick on the right edge. Longer ticks imply higher dwell time.
\ Inputs\
* Bins Number: number of histogram bands (default 7).
* Multiplier: scales the final channel width used for drawing (separate from mult\_opt used only in the optimizer).
* Source: input data (default Close).
* Style → Show Histogram: toggle the right-edge density ticks.
* Style → Channel Color (Lower/Upper): colors for the channel gradient (from lower to upper).
* Style → Histogram Bins Color: color for the right-edge ticks.
* Style → Line Style: channel line style (solid / dashed / dotted).
\ What you see\
* A regression channel rendered with a lower→upper color gradient.
* A right-edge horizontal histogram for each band; tick length encodes the count of bars residing in that band over the last optimalLength window.
* To reduce overhead, lines are deleted/rebuilt and the drawing routine executes on the last bar (barstate.islast).
\ Interpretation and use\
* Mean reversion: Touches or brief pierces of outer bands with low local density can suggest short-term fade setups.
* Breakout context: A sustained push with rising density near a boundary, backed by structure and volume, can support continuation.
* Multiplier tuning: Smaller → tighter/more sensitive channel; larger → smoother/less noisy.
* Bins tuning: More bins give finer distribution detail (at the cost of a busier plot).
\ Practical notes\
* On noisier symbols/timeframes, consider a larger Multiplier.
* If the right-edge histogram looks too crowded, reduce Bins or increase Multiplier.
* Combine with market structure (HH/HL/LH/LL), volume, and supply/demand zones for confirmation.
\ Limitations\
* The optimizer search range is fixed at 50…200 with step 5 for simplicity/performance. Adjust start\_length / end\_length / step\_length in code if you need a different space.
* Lines are rebuilt each update; many instances or very long histories can add overhead on weaker machines.
* This is a contextual tool, not a definitive buy/sell signal.
\ Recommended settings\
* Many crypto pairs work well on 15m to 4h for a good balance of noise vs. signal.
* In strong trends, increase Multiplier or demand structural confirmation before fading an outer band.
* In ranges, focus on outer-band reactions with low local density and seek quick re-entries.
\ Compatibility\
* Pine Script v5. Uses max\_lines\_count=500. When running multiple instances, monitor performance.
\ Disclaimer\
* This is for analytical/educational purposes only and does not constitute financial advice. Use at your own risk.
Keywords: Regression Channel, Linear Regression, MAD, Mean Reversion, Breakout, Volatility, Distribution, Histogram, Liquidity, Crypto, BTC, Technical Analysis
GTrader-ICT All In One-Comumnity VersionMeet the **GTrader-ICT All In One **, a comprehensive toolkit designed to integrate key Inner Circle Trader (ICT) concepts directly onto your chart. This powerful overlay indicator consolidates multiple essential tools, streamlining your technical analysis and helping you identify key temporal and price-based events.
📚 References & Inspiration
This indicator stands on the shoulders of giants. With the help of **tradeforopp** and **LuxAlgo**. The concepts and some implementation details were referenced from the following excellent, publicly available scripts:
ICT Killzones: The session drawing and pivot logic is adapted from tradeforopp
ICT Macros: The macro detection and plotting functionality is inspired by the work of Lux Algo , particularly their widely-used indicators covering ICT concepts.
🎯 Core Features
* **ICT Killzones:** Visualize critical trading sessions with customizable boxes. You can easily toggle and style the **Asia**, **London**, and **New York (AM, Lunch, PM)** sessions to focus on the liquidity and volatility that matter most to your strategy.
* Fully customizable session times and colors.
* Timezone support to align sessions with your local or preferred trading time (defaults to `America/New_York`).
* **ICT Macros:** Automatically identify and plot specific, short-duration time windows where institutional algorithms are known to be active (e.g., `09:50-10:10`, `14:50-15:10`, etc.).
* Plots the high/low range of the macro, providing clear levels of interest.
* Utilizes 1-minute data for precision, even when viewing on 3-minute or 5-minute charts.
📚 Optimization over the other original indicators
We add the custom input for macros session, users just need to input the from/to hour: minute format, and they will be converted into session objects in pinescript
The macro draws function is optimized, removing redundant draws, leading to better performance
Add "Distance from Macro Line to Chart" option
Add "Session Drawings Limit" for better performance
⚠️ Notes on TradingView Warnings
You may encounter some warnings from TradingView when using this script. These are generally expected due to the script's advanced, event-driven nature:
1. **Function Call Consistency:** The function 'box.new' should be called on each calculation for consistency, which may appear. This happens because drawing elements (like session boxes) are intentionally created only on the *first bar* of a new session, not on every single bar. This is a necessary design choice for performance and to prevent duplicate drawings.
2. **Potential for Repainting/Slow Load:** The **Macro** feature uses the `request.security_lower_tf()` function to get accurate 1-minute data. This can trigger warnings about performance or slow loading times. This is a known trade-off for achieving the precision required for the feature.
analytics_tablesLibrary "analytics_tables"
📝 Description
This library provides the implementation of several performance-related statistics and metrics, presented in the form of tables.
The metrics shown in the afforementioned tables where developed during the past years of my in-depth analalysis of various strategies in an atempt to reason about the performance of each strategy.
The visualization and some statistics where inspired by the existing implementations of the "Seasonality" script, and the performance matrix implementations of @QuantNomad and @ZenAndTheArtOfTrading scripts.
While this library is meant to be used by my strategy framework "Template Trailing Strategy (Backtester)" script, I wrapped it in a library hoping this can be usefull for other community strategy scripts that will be released in the future.
🤔 How to Guide
To use the functionality this library provides in your script you have to import it first!
Copy the import statement of the latest release by pressing the copy button below and then paste it into your script. Give a short name to this library so you can refer to it later on. The import statement should look like this:
import jason5480/analytics_tables/1 as ant
There are three types of tables provided by this library in the initial release. The stats table the metrics table and the seasonality table.
Each one shows different kinds of performance statistics.
The table UDT shall be initialized once using the `init()` method.
They can be updated using the `update()` method where the updated data UDT object shall be passed.
The data UDT can also initialized and get updated on demend depending on the use case
A code example for the StatsTable is the following:
var ant.StatsData statsData = ant.StatsData.new()
statsData.update(SideStats.new(), SideStats.new(), 0)
if (barstate.islastconfirmedhistory or (barstate.isrealtime and barstate.isconfirmed))
var statsTable = ant.StatsTable.new().init(ant.getTablePos('TOP', 'RIGHT'))
statsTable.update(statsData)
A code example for the MetricsTable is the following:
var ant.StatsData statsData = ant.StatsData.new()
statsData.update(ant.SideStats.new(), ant.SideStats.new(), 0)
if (barstate.islastconfirmedhistory or (barstate.isrealtime and barstate.isconfirmed))
var metricsTable = ant.MetricsTable.new().init(ant.getTablePos('BOTTOM', 'RIGHT'))
metricsTable.update(statsData, 10)
A code example for the SeasonalityTable is the following:
var ant.SeasonalData seasonalData = ant.SeasonalData.new().init(Seasonality.monthOfYear)
seasonalData.update()
if (barstate.islastconfirmedhistory or (barstate.isrealtime and barstate.isconfirmed))
var seasonalTable = ant.SeasonalTable.new().init(seasonalData, ant.getTablePos('BOTTOM', 'LEFT'))
seasonalTable.update(seasonalData)
🏋️♂️ Please refer to the "EXAMPLE" regions of the script for more advanced and up to date code examples!
Special thanks to @Mrcrbw for the proposal to develop this library and @DCNeu for the constructive feedback 🏆.
getTablePos(ypos, xpos)
Get table position compatible string
Parameters:
ypos (simple string) : The position on y axise
xpos (simple string) : The position on x axise
Returns: The position to be passed to the table
method init(this, pos, height, width, positiveTxtColor, negativeTxtColor, neutralTxtColor, positiveBgColor, negativeBgColor, neutralBgColor)
Initialize the stats table object with the given colors in the given position
Namespace types: StatsTable
Parameters:
this (StatsTable) : The stats table object
pos (simple string) : The table position string
height (simple float) : The height of the table as a percentage of the charts height. By default, 0 auto-adjusts the height based on the text inside the cells
width (simple float) : The width of the table as a percentage of the charts height. By default, 0 auto-adjusts the width based on the text inside the cells
positiveTxtColor (simple color) : The text color when positive
negativeTxtColor (simple color) : The text color when negative
neutralTxtColor (simple color) : The text color when neutral
positiveBgColor (simple color) : The background color with transparency when positive
negativeBgColor (simple color) : The background color with transparency when negative
neutralBgColor (simple color) : The background color with transparency when neutral
method init(this, pos, height, width, neutralBgColor)
Initialize the metrics table object with the given colors in the given position
Namespace types: MetricsTable
Parameters:
this (MetricsTable) : The metrics table object
pos (simple string) : The table position string
height (simple float) : The height of the table as a percentage of the charts height. By default, 0 auto-adjusts the height based on the text inside the cells
width (simple float) : The width of the table as a percentage of the charts width. By default, 0 auto-adjusts the width based on the text inside the cells
neutralBgColor (simple color) : The background color with transparency when neutral
method init(this, seas)
Initialize the seasonal data
Namespace types: SeasonalData
Parameters:
this (SeasonalData) : The seasonal data object
seas (simple Seasonality) : The seasonality of the matrix data
method init(this, data, pos, maxNumOfYears, height, width, extended, neutralTxtColor, neutralBgColor)
Initialize the seasonal table object with the given colors in the given position
Namespace types: SeasonalTable
Parameters:
this (SeasonalTable) : The seasonal table object
data (SeasonalData) : The seasonality data of the table
pos (simple string) : The table position string
maxNumOfYears (simple int) : The maximum number of years that fit into the table
height (simple float) : The height of the table as a percentage of the charts height. By default, 0 auto-adjusts the height based on the text inside the cells
width (simple float) : The width of the table as a percentage of the charts width. By default, 0 auto-adjusts the width based on the text inside the cells
extended (simple bool) : The seasonal table with extended columns for performance
neutralTxtColor (simple color) : The text color when neutral
neutralBgColor (simple color) : The background color with transparency when neutral
method update(this, wins, losses, numOfInconclusiveExits)
Update the strategy info data of the strategy
Namespace types: StatsData
Parameters:
this (StatsData) : The strategy statistics object
wins (SideStats)
losses (SideStats)
numOfInconclusiveExits (int) : The number of inconclusive trades
method update(this, stats, positiveTxtColor, negativeTxtColor, negativeBgColor, neutralBgColor)
Update the stats table object with the given data
Namespace types: StatsTable
Parameters:
this (StatsTable) : The stats table object
stats (StatsData) : The stats data to update the table
positiveTxtColor (simple color) : The text color when positive
negativeTxtColor (simple color) : The text color when negative
negativeBgColor (simple color) : The background color with transparency when negative
neutralBgColor (simple color) : The background color with transparency when neutral
method update(this, stats, buyAndHoldPerc, positiveTxtColor, negativeTxtColor, positiveBgColor, negativeBgColor)
Update the metrics table object with the given data
Namespace types: MetricsTable
Parameters:
this (MetricsTable) : The metrics table object
stats (StatsData) : The stats data to update the table
buyAndHoldPerc (float) : The buy and hold percetage
positiveTxtColor (simple color) : The text color when positive
negativeTxtColor (simple color) : The text color when negative
positiveBgColor (simple color) : The background color with transparency when positive
negativeBgColor (simple color) : The background color with transparency when negative
method update(this)
Update the seasonal data based on the season and eon timeframe
Namespace types: SeasonalData
Parameters:
this (SeasonalData) : The seasonal data object
method update(this, data, positiveTxtColor, negativeTxtColor, neutralTxtColor, positiveBgColor, negativeBgColor, neutralBgColor, timeBgColor)
Update the seasonal table object with the given data
Namespace types: SeasonalTable
Parameters:
this (SeasonalTable) : The seasonal table object
data (SeasonalData) : The seasonal cell data to update the table
positiveTxtColor (simple color) : The text color when positive
negativeTxtColor (simple color) : The text color when negative
neutralTxtColor (simple color) : The text color when neutral
positiveBgColor (simple color) : The background color with transparency when positive
negativeBgColor (simple color) : The background color with transparency when negative
neutralBgColor (simple color) : The background color with transparency when neutral
timeBgColor (simple color) : The background color of the time gradient
SideStats
Object that represents the strategy statistics data of one side win or lose
Fields:
numOf (series int)
sumFreeProfit (series float)
freeProfitStDev (series float)
sumProfit (series float)
profitStDev (series float)
sumGain (series float)
gainStDev (series float)
avgQuantityPerc (series float)
avgCapitalRiskPerc (series float)
avgTPExecutedCount (series float)
avgRiskRewardRatio (series float)
maxStreak (series int)
StatsTable
Object that represents the stats table
Fields:
table (series table) : The actual table
rows (series int) : The number of rows of the table
columns (series int) : The number of columns of the table
StatsData
Object that represents the statistics data of the strategy
Fields:
wins (SideStats)
losses (SideStats)
numOfInconclusiveExits (series int)
avgFreeProfitStr (series string)
freeProfitStDevStr (series string)
lossFreeProfitStDevStr (series string)
avgProfitStr (series string)
profitStDevStr (series string)
lossProfitStDevStr (series string)
avgQuantityStr (series string)
MetricsTable
Object that represents the metrics table
Fields:
table (series table) : The actual table
rows (series int) : The number of rows of the table
columns (series int) : The number of columns of the table
SeasonalData
Object that represents the seasonal table dynamic data
Fields:
seasonality (series Seasonality)
eonToMatrixRow (map)
numOfEons (series int)
mostRecentMatrixRow (series int)
balances (matrix)
returnPercs (matrix)
maxDDs (matrix)
eonReturnPercs (array)
eonCAGRs (array)
eonMaxDDs (array)
SeasonalTable
Object that represents the seasonal table
Fields:
table (series table) : The actual table
headRows (series int) : The number of head rows of the table
headColumns (series int) : The number of head columns of the table
eonRows (series int) : The number of eon rows of the table
seasonColumns (series int) : The number of season columns of the table
statsRows (series int)
statsColumns (series int) : The number of stats columns of the table
rows (series int) : The number of rows of the table
columns (series int) : The number of columns of the table
extended (series bool) : Whether the table has additional performance statistics
Supertrend Advance Pullback StrategyHandbook for the Supertrend Advance Strategy
1. Introduction
Purpose of the Handbook:
The main purpose of this handbook is to serve as a comprehensive guide for traders and investors who are looking to explore and harness the potential of the Supertrend Advance Strategy. In the rapidly changing financial market, having the right tools and strategies at one's disposal is crucial. Whether you're a beginner hoping to dive into the world of trading or a seasoned investor aiming to optimize and diversify your portfolio, this handbook offers the insights and methodologies you need. By the end of this guide, readers should have a clear understanding of how the Supertrend Advance Strategy works, its benefits, potential pitfalls, and practical application in various trading scenarios.
Overview of the Supertrend Advance Pullback Strategy:
At its core, the Supertrend Advance Strategy is an evolution of the popular Supertrend Indicator. Designed to generate buy and sell signals in trending markets, the Supertrend Indicator has been a favorite tool for many traders around the world. The Advance Strategy, however, builds upon this foundation by introducing enhanced mechanisms, filters, and methodologies to increase precision and reduce false signals.
1. Basic Concept:
The Supertrend Advance Strategy relies on a combination of price action and volatility to determine the potential trend direction. By assessing the average true range (ATR) in conjunction with specific price points, this strategy aims to highlight the potential starting and ending points of market trends.
2. Methodology:
Unlike the traditional Supertrend Indicator, which primarily focuses on closing prices and ATR, the Advance Strategy integrates other critical market variables, such as volume, momentum oscillators, and perhaps even fundamental data, to validate its signals. This multidimensional approach ensures that the generated signals are more reliable and are less prone to market noise.
3. Benefits:
One of the main benefits of the Supertrend Advance Strategy is its ability to filter out false breakouts and minor price fluctuations, which can often lead to premature exits or entries in the market. By waiting for a confluence of factors to align, traders using this advanced strategy can increase their chances of entering or exiting trades at optimal points.
4. Practical Applications:
The Supertrend Advance Strategy can be applied across various timeframes, from intraday trading to swing trading and even long-term investment scenarios. Furthermore, its flexible nature allows it to be tailored to different asset classes, be it stocks, commodities, forex, or cryptocurrencies.
In the subsequent sections of this handbook, we will delve deeper into the intricacies of this strategy, offering step-by-step guidelines on its application, case studies, and tips for maximizing its efficacy in the volatile world of trading.
As you journey through this handbook, we encourage you to approach the Supertrend Advance Strategy with an open mind, testing and tweaking it as per your personal trading style and risk appetite. The ultimate goal is not just to provide you with a new tool but to empower you with a holistic strategy that can enhance your trading endeavors.
2. Getting Started
Navigating the financial markets can be a daunting task without the right tools. This section is dedicated to helping you set up the Supertrend Advance Strategy on one of the most popular charting platforms, TradingView. By following the steps below, you'll be able to integrate this strategy into your charts and start leveraging its insights in no time.
Setting up on TradingView:
TradingView is a web-based platform that offers a wide range of charting tools, social networking, and market data. Before you can apply the Supertrend Advance Strategy, you'll first need a TradingView account. If you haven't set one up yet, here's how:
1. Account Creation:
• Visit TradingView's official website.
• Click on the "Join for free" or "Sign up" button.
• Follow the registration process, providing the necessary details and setting up your login credentials.
2. Navigating the Dashboard:
• Once logged in, you'll be taken to your dashboard. Here, you'll see a variety of tools, including watchlists, alerts, and the main charting window.
• To begin charting, type in the name or ticker of the asset you're interested in the search bar at the top.
3. Configuring Chart Settings:
• Before integrating the Supertrend Advance Strategy, familiarize yourself with the chart settings. This can be accessed by clicking the 'gear' icon on the top right of the chart window.
• Adjust the chart type, time intervals, and other display settings to your preference.
Integrating the Strategy into a Chart:
Now that you're set up on TradingView, it's time to integrate the Supertrend Advance Strategy.
1. Accessing the Pine Script Editor:
• Located at the top-center of your screen, you'll find the "Pine Editor" tab. Click on it.
• This is where custom strategies and indicators are scripted or imported.
2. Loading the Supertrend Advance Strategy Script:
• Depending on whether you have the script or need to find it, there are two paths:
• If you have the script: Copy the Supertrend Advance Strategy script, and then paste it into the Pine Editor.
• If searching for the script: Click on the “Indicators” icon (looks like a flame) at the top of your screen, and then type “Supertrend Advance Strategy” in the search bar. If available, it will show up in the list. Simply click to add it to your chart.
3. Applying the Strategy:
• After pasting or selecting the Supertrend Advance Strategy in the Pine Editor, click on the “Add to Chart” button located at the top of the editor. This will overlay the strategy onto your main chart window.
4. Configuring Strategy Settings:
• Once the strategy is on your chart, you'll notice a small settings ('gear') icon next to its name in the top-left of the chart window. Click on this to access settings.
• Here, you can adjust various parameters of the Supertrend Advance Strategy to better fit your trading style or the specific asset you're analyzing.
5. Interpreting Signals:
• With the strategy applied, you'll now see buy/sell signals represented on your chart. Take time to familiarize yourself with how these look and behave over various timeframes and market conditions.
3. Strategy Overview
What is the Supertrend Advance Strategy?
The Supertrend Advance Strategy is a refined version of the classic Supertrend Indicator, which was developed to aid traders in spotting market trends. The strategy utilizes a combination of data points, including average true range (ATR) and price momentum, to generate buy and sell signals.
In essence, the Supertrend Advance Strategy can be visualized as a line that moves with the price. When the price is above the Supertrend line, it indicates an uptrend and suggests a potential buy position. Conversely, when the price is below the Supertrend line, it hints at a downtrend, suggesting a potential selling point.
Strategy Goals and Objectives:
1. Trend Identification: At the core of the Supertrend Advance Strategy is the goal to efficiently and consistently identify prevailing market trends. By recognizing these trends, traders can position themselves to capitalize on price movements in their favor.
2. Reducing Noise: Financial markets are often inundated with 'noise' - short-term price fluctuations that can mislead traders. The Supertrend Advance Strategy aims to filter out this noise, allowing for clearer decision-making.
3. Enhancing Risk Management: With clear buy and sell signals, traders can set more precise stop-loss and take-profit points. This leads to better risk management and potentially improved profitability.
4. Versatility: While primarily used for trend identification, the strategy can be integrated with other technical tools and indicators to create a comprehensive trading system.
Type of Assets/Markets to Apply the Strategy:
1. Equities: The Supertrend Advance Strategy is highly popular among stock traders. Its ability to capture long-term trends makes it particularly useful for those trading individual stocks or equity indices.
2. Forex: Given the 24-hour nature of the Forex market and its propensity for trends, the Supertrend Advance Strategy is a valuable tool for currency traders.
3. Commodities: Whether it's gold, oil, or agricultural products, commodities often move in extended trends. The strategy can help in identifying and capitalizing on these movements.
4. Cryptocurrencies: The volatile nature of cryptocurrencies means they can have pronounced trends. The Supertrend Advance Strategy can aid crypto traders in navigating these often tumultuous waters.
5. Futures & Options: Traders and investors in derivative markets can utilize the strategy to make more informed decisions about contract entries and exits.
It's important to note that while the Supertrend Advance Strategy can be applied across various assets and markets, its effectiveness might vary based on market conditions, timeframe, and the specific characteristics of the asset in question. As always, it's recommended to use the strategy in conjunction with other analytical tools and to backtest its effectiveness in specific scenarios before committing to trades.
4. Input Settings
Understanding and correctly configuring input settings is crucial for optimizing the Supertrend Advance Strategy for any specific market or asset. These settings, when tweaked correctly, can drastically impact the strategy's performance.
Grouping Inputs:
Before diving into individual input settings, it's important to group similar inputs. Grouping can simplify the user interface, making it easier to adjust settings related to a specific function or indicator.
Strategy Choice:
This input allows traders to select from various strategies that incorporate the Supertrend indicator. Options might include "Supertrend with RSI," "Supertrend with MACD," etc. By choosing a strategy, the associated input settings for that strategy become available.
Supertrend Settings:
1. Multiplier: Typically, a default value of 3 is used. This multiplier is used in the ATR calculation. Increasing it makes the Supertrend line further from prices, while decreasing it brings the line closer.
2. Period: The number of bars used in the ATR calculation. A common default is 7.
EMA Settings (Exponential Moving Average):
1. Period: Defines the number of previous bars used to calculate the EMA. Common periods are 9, 21, 50, and 200.
2. Source: Allows traders to choose which price (Open, Close, High, Low) to use in the EMA calculation.
RSI Settings (Relative Strength Index):
1. Length: Determines how many periods are used for RSI calculation. The standard setting is 14.
2. Overbought Level: The threshold at which the asset is considered overbought, typically set at 70.
3. Oversold Level: The threshold at which the asset is considered oversold, often at 30.
MACD Settings (Moving Average Convergence Divergence):
1. Short Period: The shorter EMA, usually set to 12.
2. Long Period: The longer EMA, commonly set to 26.
3. Signal Period: Defines the EMA of the MACD line, typically set at 9.
CCI Settings (Commodity Channel Index):
1. Period: The number of bars used in the CCI calculation, often set to 20.
2. Overbought Level: Typically set at +100, denoting overbought conditions.
3. Oversold Level: Usually set at -100, indicating oversold conditions.
SL/TP Settings (Stop Loss/Take Profit):
1. SL Multiplier: Defines the multiplier for the average true range (ATR) to set the stop loss.
2. TP Multiplier: Defines the multiplier for the average true range (ATR) to set the take profit.
Filtering Conditions:
This section allows traders to set conditions to filter out certain signals. For example, one might only want to take buy signals when the RSI is below 30, ensuring they buy during oversold conditions.
Trade Direction and Backtest Period:
1. Trade Direction: Allows traders to specify whether they want to take long trades, short trades, or both.
2. Backtest Period: Specifies the time range for backtesting the strategy. Traders can choose from options like 'Last 6 months,' 'Last 1 year,' etc.
It's essential to remember that while default settings are provided for many of these tools, optimal settings can vary based on the market, timeframe, and trading style. Always backtest new settings on historical data to gauge their potential efficacy.
5. Understanding Strategy Conditions
Developing an understanding of the conditions set within a trading strategy is essential for traders to maximize its potential. Here, we delve deep into the logic behind these conditions, using the Supertrend Advance Strategy as our focal point.
Basic Logic Behind Conditions:
Every strategy is built around a set of conditions that provide buy or sell signals. The conditions are based on mathematical or statistical methods and are rooted in the study of historical price data. The fundamental idea is to recognize patterns or behaviors that have been profitable in the past and might be profitable in the future.
Buy and Sell Conditions:
1. Buy Conditions: Usually formulated around bullish signals or indicators suggesting upward price momentum.
2. Sell Conditions: Centered on bearish signals or indicators indicating downward price momentum.
Simple Strategy:
The simple strategy could involve using just the Supertrend indicator. Here:
• Buy: When price closes above the Supertrend line.
• Sell: When price closes below the Supertrend line.
Pullback Strategy:
This strategy capitalizes on price retracements:
• Buy: When the price retraces to the Supertrend line after a bullish signal and is supported by another bullish indicator.
• Sell: When the price retraces to the Supertrend line after a bearish signal and is confirmed by another bearish indicator.
Indicators Used:
EMA (Exponential Moving Average):
• Logic: EMA gives more weight to recent prices, making it more responsive to current price movements. A shorter-period EMA crossing above a longer-period EMA can be a bullish sign, while the opposite is bearish.
RSI (Relative Strength Index):
• Logic: RSI measures the magnitude of recent price changes to analyze overbought or oversold conditions. Values above 70 are typically considered overbought, and values below 30 are considered oversold.
MACD (Moving Average Convergence Divergence):
• Logic: MACD assesses the relationship between two EMAs of a security’s price. The MACD line crossing above the signal line can be a bullish signal, while crossing below can be bearish.
CCI (Commodity Channel Index):
• Logic: CCI compares a security's average price change with its average price variation. A CCI value above +100 may mean the price is overbought, while below -100 might signify an oversold condition.
And others...
As the strategy expands or contracts, more indicators might be added or removed. The crucial point is to understand the core logic behind each, ensuring they align with the strategy's objectives.
Logic Behind Each Indicator:
1. EMA: Emphasizes recent price movements; provides dynamic support and resistance levels.
2. RSI: Indicates overbought and oversold conditions based on recent price changes.
3. MACD: Showcases momentum and direction of a trend by comparing two EMAs.
4. CCI: Measures the difference between a security's price change and its average price change.
Understanding strategy conditions is not just about knowing when to buy or sell but also about comprehending the underlying market dynamics that those conditions represent. As you familiarize yourself with each condition and indicator, you'll be better prepared to adapt and evolve with the ever-changing financial markets.
6. Trade Execution and Management
Trade execution and management are crucial aspects of any trading strategy. Efficient execution can significantly impact profitability, while effective management can preserve capital during adverse market conditions. In this section, we'll explore the nuances of position entry, exit strategies, and various Stop Loss (SL) and Take Profit (TP) methodologies within the Supertrend Advance Strategy.
Position Entry:
Effective trade entry revolves around:
1. Timing: Enter at a point where the risk-reward ratio is favorable. This often corresponds to confirmatory signals from multiple indicators.
2. Volume Analysis: Ensure there's adequate volume to support the movement. Volume can validate the strength of a signal.
3. Confirmation: Use multiple indicators or chart patterns to confirm the entry point. For instance, a buy signal from the Supertrend indicator can be confirmed with a bullish MACD crossover.
Position Exit Strategies:
A successful exit strategy will lock in profits and minimize losses. Here are some strategies:
1. Fixed Time Exit: Exiting after a predetermined period.
2. Percentage-based Profit Target: Exiting after a certain percentage gain.
3. Indicator-based Exit: Exiting when an indicator gives an opposing signal.
Percentage-based SL/TP:
• Stop Loss (SL): Set a fixed percentage below the entry price to limit potential losses.
• Example: A 2% SL on an entry at $100 would trigger a sell at $98.
• Take Profit (TP): Set a fixed percentage above the entry price to lock in gains.
• Example: A 5% TP on an entry at $100 would trigger a sell at $105.
Supertrend-based SL/TP:
• Stop Loss (SL): Position the SL at the Supertrend line. If the price breaches this line, it could indicate a trend reversal.
• Take Profit (TP): One could set the TP at a point where the Supertrend line flattens or turns, indicating a possible slowdown in momentum.
Swing high/low-based SL/TP:
• Stop Loss (SL): For a long position, set the SL just below the recent swing low. For a short position, set it just above the recent swing high.
• Take Profit (TP): For a long position, set the TP near a recent swing high or resistance. For a short position, near a swing low or support.
And other methods...
1. Trailing Stop Loss: This dynamic SL adjusts with the price movement, locking in profits as the trade moves in your favor.
2. Multiple Take Profits: Divide the position into segments and set multiple TP levels, securing profits in stages.
3. Opposite Signal Exit: Exit when another reliable indicator gives an opposite signal.
Trade execution and management are as much an art as they are a science. They require a blend of analytical skill, discipline, and intuition. Regularly reviewing and refining your strategies, especially in light of changing market conditions, is crucial to maintaining consistent trading performance.
7. Visual Representations
Visual tools are essential for traders, as they simplify complex data into an easily interpretable format. Properly analyzing and understanding the plots on a chart can provide actionable insights and a more intuitive grasp of market conditions. In this section, we’ll delve into various visual representations used in the Supertrend Advance Strategy and their significance.
Understanding Plots on the Chart:
Charts are the primary visual aids for traders. The arrangement of data points, lines, and colors on them tell a story about the market's past, present, and potential future moves.
1. Data Points: These represent individual price actions over a specific timeframe. For instance, a daily chart will have data points showing the opening, closing, high, and low prices for each day.
2. Colors: Used to indicate the nature of price movement. Commonly, green is used for bullish (upward) moves and red for bearish (downward) moves.
Trend Lines:
Trend lines are straight lines drawn on a chart that connect a series of price points. Their significance:
1. Uptrend Line: Drawn along the lows, representing support. A break below might indicate a trend reversal.
2. Downtrend Line: Drawn along the highs, indicating resistance. A break above might suggest the start of a bullish trend.
Filled Areas:
These represent a range between two values on a chart, usually shaded or colored. For instance:
1. Bollinger Bands: The area between the upper and lower band is filled, giving a visual representation of volatility.
2. Volume Profile: Can show a filled area representing the amount of trading activity at different price levels.
Stop Loss and Take Profit Lines:
These are horizontal lines representing pre-determined exit points for trades.
1. Stop Loss Line: Indicates the level at which a trade will be automatically closed to limit losses. Positioned according to the trader's risk tolerance.
2. Take Profit Line: Denotes the target level to lock in profits. Set according to potential resistance (for long trades) or support (for short trades) or other technical factors.
Trailing Stop Lines:
A trailing stop is a dynamic form of stop loss that moves with the price. On a chart:
1. For Long Trades: Starts below the entry price and moves up with the price but remains static if the price falls, ensuring profits are locked in.
2. For Short Trades: Starts above the entry price and moves down with the price but remains static if the price rises.
Visual representations offer traders a clear, organized view of market dynamics. Familiarity with these tools ensures that traders can quickly and accurately interpret chart data, leading to more informed decision-making. Always ensure that the visual aids used resonate with your trading style and strategy for the best results.
8. Backtesting
Backtesting is a fundamental process in strategy development, enabling traders to evaluate the efficacy of their strategy using historical data. It provides a snapshot of how the strategy would have performed in past market conditions, offering insights into its potential strengths and vulnerabilities. In this section, we'll explore the intricacies of setting up and analyzing backtest results and the caveats one must be aware of.
Setting Up Backtest Period:
1. Duration: Determine the timeframe for the backtest. It should be long enough to capture various market conditions (bullish, bearish, sideways). For instance, if you're testing a daily strategy, consider a period of several years.
2. Data Quality: Ensure the data source is reliable, offering high-resolution and clean data. This is vital to get accurate backtest results.
3. Segmentation: Instead of a continuous period, sometimes it's helpful to backtest over distinct market phases, like a particular bear or bull market, to see how the strategy holds up in different environments.
Analyzing Backtest Results:
1. Performance Metrics: Examine metrics like the total return, annualized return, maximum drawdown, Sharpe ratio, and others to gauge the strategy's efficiency.
2. Win Rate: It's the ratio of winning trades to total trades. A high win rate doesn't always signify a good strategy; it should be evaluated in conjunction with other metrics.
3. Risk/Reward: Understand the average profit versus the average loss per trade. A strategy might have a low win rate but still be profitable if the average gain far exceeds the average loss.
4. Drawdown Analysis: Review the periods of losses the strategy could incur and how long it takes, on average, to recover.
9. Tips and Best Practices
Successful trading requires more than just knowing how a strategy works. It necessitates an understanding of when to apply it, how to adjust it to varying market conditions, and the wisdom to recognize and avoid common pitfalls. This section offers insightful tips and best practices to enhance the application of the Supertrend Advance Strategy.
When to Use the Strategy:
1. Market Conditions: Ideally, employ the Supertrend Advance Strategy during trending market conditions. This strategy thrives when there are clear upward or downward trends. It might be less effective during consolidative or sideways markets.
2. News Events: Be cautious around significant news events, as they can cause extreme volatility. It might be wise to avoid trading immediately before and after high-impact news.
3. Liquidity: Ensure you are trading in assets/markets with sufficient liquidity. High liquidity ensures that the price movements are more reflective of genuine market sentiment and not due to thin volume.
Adjusting Settings for Different Markets/Timeframes:
1. Markets: Each market (stocks, forex, commodities) has its own characteristics. It's essential to adjust the strategy's parameters to align with the market's volatility and liquidity.
2. Timeframes: Shorter timeframes (like 1-minute or 5-minute charts) tend to have more noise. You might need to adjust the settings to filter out false signals. Conversely, for longer timeframes (like daily or weekly charts), you might need to be more responsive to genuine trend changes.
3. Customization: Regularly review and tweak the strategy's settings. Periodic adjustments can ensure the strategy remains optimized for the current market conditions.
10. Frequently Asked Questions (FAQs)
Given the complexities and nuances of the Supertrend Advance Strategy, it's only natural for traders, both new and seasoned, to have questions. This section addresses some of the most commonly asked questions regarding the strategy.
1. What exactly is the Supertrend Advance Strategy?
The Supertrend Advance Strategy is an evolved version of the traditional Supertrend indicator. It's designed to provide clearer buy and sell signals by incorporating additional indicators like EMA, RSI, MACD, CCI, etc. The strategy aims to capitalize on market trends while minimizing false signals.
2. Can I use the Supertrend Advance Strategy for all asset types?
Yes, the strategy can be applied to various asset types like stocks, forex, commodities, and cryptocurrencies. However, it's crucial to adjust the settings accordingly to suit the specific characteristics and volatility of each asset type.
3. Is this strategy suitable for day trading?
Absolutely! The Supertrend Advance Strategy can be adjusted to suit various timeframes, making it versatile for both day trading and long-term trading. Remember to fine-tune the settings to align with the timeframe you're trading on.
4. How do I deal with false signals?
No strategy is immune to false signals. However, by combining the Supertrend with other indicators and adhering to strict risk management protocols, you can minimize the impact of false signals. Always use stop-loss orders and consider filtering trades with additional confirmation signals.
5. Do I need any prior trading experience to use this strategy?
While the Supertrend Advance Strategy is designed to be user-friendly, having a foundational understanding of trading and market analysis can greatly enhance your ability to employ the strategy effectively. If you're a beginner, consider pairing the strategy with further education and practice on demo accounts.
6. How often should I review and adjust the strategy settings?
There's no one-size-fits-all answer. Some traders adjust settings weekly, while others might do it monthly. The key is to remain responsive to changing market conditions. Regular backtesting can give insights into potential required adjustments.
7. Can the Supertrend Advance Strategy be automated?
Yes, many traders use algorithmic trading platforms to automate their strategies, including the Supertrend Advance Strategy. However, always monitor automated systems regularly to ensure they're operating as intended.
8. Are there any markets or conditions where the strategy shouldn't be used?
The strategy might generate more false signals in markets that are consolidative or range-bound. During significant news events or times of unexpected high volatility, it's advisable to tread with caution or stay out of the market.
9. How important is backtesting with this strategy?
Backtesting is crucial as it allows traders to understand how the strategy would have performed in the past, offering insights into potential profitability and areas of improvement. Always backtest any new setting or tweak before applying it to live trades.
10. What if the strategy isn't working for me?
No strategy guarantees consistent profits. If it's not working for you, consider reviewing your settings, seeking expert advice, or complementing the Supertrend Advance Strategy with other analysis methods. Remember, continuous learning and adaptation are the keys to trading success.
Other comments
Value of combining several indicators in this script and how they work together
Diversification of Signals: Just as diversifying an investment portfolio can reduce risk, using multiple indicators can offer varied perspectives on potential price movements. Each indicator can capture a different facet of the market, ensuring that traders are not overly reliant on a single data point.
Confirmation & Reduced False Signals: A common challenge with many indicators is the potential for false signals. By requiring confirmation from multiple indicators before acting, the chances of acting on a false signal can be significantly reduced.
Flexibility Across Market Conditions: Different indicators might perform better under different market conditions. For example, while moving averages might excel in trending markets, oscillators like RSI might be more useful during sideways or range-bound conditions. A mashup strategy can potentially adapt better to varying market scenarios.
Comprehensive Analysis: With multiple indicators, traders can gauge trend strength, momentum, volatility, and potential market reversals all at once, providing a holistic view of the market.
How do the different indicators in the Supertrend Advance Strategy work together?
Supertrend: This is primarily a trend-following indicator. It provides traders with buy and sell signals based on the volatility of the price. When combined with other indicators, it can filter out noise and give more weight to strong, confirmed trends.
EMA (Exponential Moving Average): EMA gives more weight to recent price data. It can be used to identify the direction and strength of a trend. When the price is above the EMA, it's generally considered bullish, and vice versa.
RSI (Relative Strength Index): An oscillator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions. By cross-referencing with other indicators like EMA or MACD, traders can spot potential reversals or confirmations of a trend.
MACD (Moving Average Convergence Divergence): This indicator identifies changes in the strength, direction, momentum, and duration of a trend in a stock's price. When the MACD line crosses above the signal line, it can be a bullish sign, and when it crosses below, it can be bearish. Pairing MACD with Supertrend can provide dual confirmation of a trend.
CCI (Commodity Channel Index): Initially developed for commodities, CCI can indicate overbought or oversold conditions. It can be used in conjunction with other indicators to determine entry and exit points.
In essence, the synergy of these indicators provides a balanced, comprehensive approach to trading. Each indicator offers its unique lens into market conditions, and when they align, it can be a powerful indication of a trading opportunity. This combination not only reduces the potential drawbacks of each individual indicator but leverages their strengths, aiming for more consistent and informed trading decisions.
Backtesting and Default Settings
• This indicator has been optimized to be applied for 1 hour-charts. However, the underlying principles of this strategy are supply and demand in the financial markets and the strategy can be applied to all timeframes. Daytraders can use the 1min- or 5min charts, swing-traders can use the daily charts.
• This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
• The combination of the qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
• Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security.
• Default properties: RSI on (length 14, RSI buy level 50, sell level 50), EMA, RSI, MACD on, type of strategy pullback, SL/TP type: ATR (length 10, factor 3), trade direction both, quantity 5, take profit swing hl 5.1, highest / lowest lookback 2, enable ATR trail (ATR length 10, SL ATR multiplier 1.4, TP multiplier 2.1, lookback = 4, trade direction = both).
10x HTF Candles Dynamic with LTF FVG and Key LevelsPurpose
The 10x HTF Candles Dynamic Pine Script is a versatile, all-in-one trading tool designed for TradingView to empower traders with actionable insights across multiple timeframes. It combines advanced price action analysis, Fair Value Gap (FVG) detection, market structure evaluation, and key level visualization into a single, highly customizable interface. Built for day traders, swing traders, and scalpers, this script enhances decision-making by providing a clear, multi-dimensional view of market dynamics, liquidity zones, and trend biases. Its purpose is to streamline technical analysis, reduce chart clutter, and deliver real-time, visually intuitive data to support precise trading strategies.
What the Script Does
How the Script Works:
The script leverages Pine Script v5’s advanced features to deliver a robust and efficient trading tool. Below is a step-by-step explanation of its functionality:
1. Initialization and Configuration:
- Initializes with @version=5, enabling dynamic requests, and sets limits for bars (500), lines, labels, boxes, and polylines to manage resources.
- Defines user inputs for candle settings, timeframe selection, FVG parameters, DWM levels, market structure table, and visual preferences.
- Dynamically calculates 10 higher timeframes based on the current chart timeframe (e.g., 1m chart → 5m, 15m, 60m, etc.) or allows custom timeframes.
2. Data Acquisition:
- Fetches OHLC data for up to 10 timeframes using request.security, storing it in optimized TfData objects (arrays for open, high, low, close).
- Loops through enabled timeframes to minimize redundant code, improving processing speed.
3. Candlestick Rendering:
- Draws HTF candlesticks at user-defined offsets, with customizable bullish/bearish colors, wick colors, and widths.
- Calculates bar types (Inside, Normal, Outside) and optionally labels them above candles for pattern analysis.
4. FVG Detection and Visualization:
- Scans for FVGs by comparing candle highs and lows across three bars (e.g., low of candle 1 > high of candle 3 for bullish FVG).
- Detects IFVGs based on user-selected methods (wick, close, or midpoint) and highlights them with distinct colors.
- Draws FVG boxes with configurable borders, midpoint lines, and labels, tracking mitigation status.
- Limits FVG display to a user-defined maximum (1–200) to maintain chart clarity.
5. Horizontal Levels and DWM Lines:
- Computes Highs, Lows, Midpoints, and Quarter Points for each timeframe, drawing lines with customizable styles and extensions.
- Plots DWM open, close, high, low, and control point lines, with optional alerts for high/low breaks.
- Supports session-based opening price lines (e.g., 09:30 Market Open) with similar customization.
6. Market Structure and Bias:
Calculates trend bias by comparing the current close to the midpoint of the timeframe’s range (highest high to lowest low).
Updates a market structure table with timeframe, bias, and premium/discount status, using color-coded cells for quick interpretation.
7. Countdown Timers:
- Converts timeframe strings to seconds and calculates the time remaining until the next candle using timenow.
- Renders countdown labels with timeframe names (e.g., “1h\n(00:45)”) at user-defined positions.
8. Optimization and Cleanup:
- Uses VisualElements UDTs to manage lines, wicks, and labels, reducing memory usage.
- Deletes outdated drawings when limits are exceeded, ensuring a clean and responsive chart.
- Employs loops and arrays to streamline repetitive tasks, enhancing performance.
How to Use the Script:
This script is user-friendly yet powerful, suitable for traders of all experience levels. Follow these steps to maximize its potential:
1. Add to TradingView:
- Copy the script into TradingView’s Pine Editor.
- Click “Add to Chart” to apply it to your active chart.
2. Customize Settings:
- Candle Settings: Adjust the number of candles (1–10), starting position, group spacing, bullish/bearish colors, wick colors, and candle width.
- Timeframe Settings: Enable/disable up to 10 timeframes, choosing dynamic (auto-selected) or custom timeframes (e.g., 3m, 60m, D).
- FVG Settings: Toggle FVG detection, set detection methods (wick/close/midpoint), adjust thresholds, and customize colors, borders, and midpoint lines.
- DWM Settings: Enable daily/weekly/monthly lines (open, close, high, low, midpoint), set colors, and configure alerts for high/low breaks.
- Market Structure Table: Show/hide columns for timeframe, trend bias, and premium/discount, and adjust table position (top-left, bottom-right, etc.).
- Countdown Timers: Enable timers, adjust offsets, and customize text/background colors.
- Label Settings: Configure price label precision, transparency, and offsets for clarity.
3.Interpret Visuals:
- Candlesticks: Analyze HTF candles to gauge trend direction and momentum across timeframes.
- FVGs: Look for unmitigated FVGs (colored boxes) as potential support/resistance zones or trade setups.
- Key Levels: Use Highs, Lows, Midpoints, and Quarter Points to identify breakout or reversal areas.
4. Market Structure Table: Check trend bias and premium/discount status to align trades with market conditions.
- DWM Lines: Monitor daily/weekly/monthly levels for institutional reference points.
- Countdown Timers: Time entries/exits based on upcoming candle formations.
5. Integrate with Strategy:
- Combine script insights with your trading plan (e.g., use FVGs for entries, key levels for stops/targets).
- Set alerts for high/low breaks or liquidity zone approaches to stay proactive.
- Export table data or screenshot visuals for documentation and analysis.
6. Optimize Performance:
Limit the number of candles, FVGs, and lines to match your device’s capabilities.
Regularly review settings to focus on the most relevant timeframes and features.
Why the Script is Original
The 10x HTF Candles Dynamic script stands out in the TradingView community due to its innovative design, comprehensive functionality, and trader-centric approach. Here’s what makes it unique:
1. Seamless Multi-Timeframe Integration:
- Unlike single-timeframe indicators, this script synthesizes data from up to 10 timeframes, offering a holistic view of market structure.
- Dynamic timeframe selection adapts to the chart’s timeframe, ensuring relevance across all trading styles.
2 . Advanced FVG and IFVG Detection:
- Provides granular control over FVG detection with three IFVG methods (wick, close, midpoint), a rarity in most scripts.
- Tracks mitigation status and highlights unmitigated FVGs, enabling traders to capitalize on high-probability setups.
- Visualizes FVGs with boxes, midpoint lines, and labels, enhancing clarity and usability.
3. Sophisticated Market Structure Analysis:
-The bias calculation, introduced in recent updates (2 days ago), uses a robust algorithm to assess trend direction based on range midpoints.
- The market structure table, with premium/discount zones (added 20 hours ago), offers a unique summary of market conditions, unmatched by standard indicators.
4. Comprehensive DWM and Session Support:
- Integrates daily, weekly, and monthly levels alongside session-based opening prices, catering to institutional and retail traders alike.
- Customizable alerts for high/low breaks add actionable functionality.
5. Visual Hierarchy and Clarity:
- Scales line widths and transparency by timeframe, prioritizing higher timeframes for strategic focus.
- Countdown timers provide real-time context, a feature rarely seen in multi-timeframe scripts.
6.Performance Optimization:
- Recent updates introduced loops and UDTs to reduce code redundancy and boost processing speed.
- Automated cleanup mechanisms prevent chart clutter, ensuring smooth operation even on low-resource devices.
7. High Customizability:
- Offers extensive settings for visuals, timeframes, FVGs, DWM lines, and alerts, accommodating diverse trading preferences.
- Balances complexity with accessibility, making it approachable for beginners and powerful for advanced users.
8.Continuous Evolution:
- Regular updates (e.g., bias filter table, premium/discount feature, code optimization) demonstrate ongoing commitment to improvement.
- Closed-source protection (noted 20 hours ago) ensures intellectual integrity while allowing free use, fostering trust in the TradingView community.
Conclusion
The 10x HTF Candles Dynamic Pine Script is a groundbreaking tool that redefines multi-timeframe analysis on TradingView. By combining candlestick visualization, FVG detection, market structure insights, DWM levels, and countdown timers, it provides traders with a comprehensive, real-time view of market dynamics. Its advanced optimization, customization options, and continuous updates make it a standout choice for traders seeking precision, clarity, and efficiency. Whether you’re scalping intraday moves or swing trading weekly trends, this script equips you with the tools to master the markets with confidence.
Curious Buy - Sell Indicator - Institutional Zones (Smart Money)How the Script Works:
1. The Scripts identifies Institutional Demand , Supply & Neutral Zones with FIBS on the scripts with Rectangle BOX with labels in advance. User can insert desired start and end value to plot institutional zones
2. Script generates BUY - SELL signals shape based on candle stick formation in live market and labels with BUY - SELL image for easy identification
3. Script gives pop message EXIT SHORT once Buy spotted and candle close above the buy signal and same way EXIT LONG once Sell spotted and candle close below the buy signal
4. Scripts identifies the candle closing above the BUY - SELL signals Eg - If buy spotted the candle closing above the BUY signal with display with BLUE color Candle same way for sell signal the candle closing below the sell signal candle with display with BLACK color candle.
5. Script spots fake signals which are not valid and can be ignored by the end user
6. Three EMA's 20,50,200 has implemented to identify the strength of the market
7. Scripts identifies OPEN = LOW & OPEN = HIGH candle stick to spot the Institutional BUY - SELL activity
8. The script provides visual clues on the chart to help users identify potential trading opportunities.
9. The script provides visual clues on the chart to help users identity potential trading opportunities in live market
10. The looks and parameters of the script can be modified by end user to customize and adapt to different strategy.
11. With the script user can check higher time frame DAILY \ WEEKLY BUY - SELL signals to plan intraday trades and plan safe BUY - SELL positions.
How Users Can Make Profit Using This Script:
1. Identify potential BUY - LONG opportunities: When a valid BUY is detected and condition is met, it is suggested to opening BUY position with stoploss below the BUY signal spotted candle.
Safe users can execute BUY position once BLUE COLOR candle is formed, Wait for pull back to reduce the stoploss
2. Identify potential SELL - SHORT opportunities: When a valid SELL is detected and condition is met, it suggests a potential opening SELL positions with stoploss above the BUY signal spotted candle. Safe users can execute SELL position once BLACK COLOR candle is formed, Wait for pull back to reduce the stoploss.
3. Script generated BUY - SELL signal met target with the Institutional zone. Eg if BUY spotted at demand zone target will be neutral zone & Supply zone.
4. Script designed for user to spot high probability trades when BUY SIGNAL SPOTTED at the Institutional Demand zone same way SELL SIGNAL SPOTTED AT INSTITUTIONAL supply zone.
5. Combine with additional analysis: Users can utilize this script as a tool in their overall trading strategy. They can combine the signals with fundament analysis , market sentiment to make more informed trading decision
6.Set risk management measures: It is important for users to implement proper risk management strategies when trading based on the scripts signals. To avoid potential losses user once spotted BUY - SELL execute the long or short position. Ensure to place the stoploss to avoid potential losses and place the target. Once your trade is moving in your favor
can trial your stoploss to cost and protect the profits.
Higher-timeframe requests█ OVERVIEW
This publication focuses on enhancing awareness of the best practices for accessing higher-timeframe (HTF) data via the request.security() function. Some "traditional" approaches, such as what we explored in our previous `security()` revisited publication, have shown limitations in their ability to retrieve non-repainting HTF data. The fundamental technique outlined in this script is currently the most effective in preventing repainting when requesting data from a higher timeframe. For detailed information about why it works, see this section in the Pine Script™ User Manual .
█ CONCEPTS
Understanding repainting
Repainting is a behavior that occurs when a script's calculations or outputs behave differently after restarting it. There are several types of repainting behavior, not all of which are inherently useless or misleading. The most prevalent form of repainting occurs when a script's calculations or outputs exhibit different behaviors on historical and realtime bars.
When a script calculates across historical data, it only needs to execute once per bar, as those values are confirmed and not subject to change. After each historical execution, the script commits the states of its calculations for later access.
On a realtime, unconfirmed bar, values are fluid . They are subject to change on each new tick from the data provider until the bar closes. A script's code can execute on each tick in a realtime bar, meaning its calculations and outputs are subject to realtime fluctuations, just like the underlying data it uses. Each time a script executes on an unconfirmed bar, it first reverts applicable values to their last committed states, a process referred to as rollback . It only commits the new values from a realtime bar after the bar closes. See the User Manual's Execution model page to learn more.
In essence, a script can repaint when it calculates on realtime bars due to fluctuations before a bar's confirmation, which it cannot reproduce on historical data. A common strategy to avoid repainting when necessary involves forcing only confirmed values on realtime bars, which remain unchanged until each bar's conclusion.
Repainting in higher-timeframe (HTF) requests
When working with a script that retrieves data from higher timeframes with request.security() , it's crucial to understand the differences in how such requests behave on historical and realtime bars .
The request.security() function executes all code required by its `expression` argument using data from the specified context (symbol, timeframe, or modifiers) rather than on the chart's data. As when executing code in the chart's context, request.security() only returns new historical values when a bar closes in the requested context. However, the values it returns on realtime HTF bars can also update before confirmation, akin to the rollback and recalculation process that scripts perform in the chart's context on the open bar. Similar to how scripts operate in the chart's context, request.security() only confirms new values after a realtime bar closes in its specified context.
Once a script's execution cycle restarts, what were previously realtime bars become historical bars, meaning the request.security() call will only return confirmed values from the HTF on those bars. Therefore, if the requested data fluctuates across an open HTF bar, the script will repaint those values after it restarts.
This behavior is not a bug; it's simply the default behavior of request.security() . In some cases, having the latest information from an unconfirmed HTF bar is precisely what a script needs. However, in many other cases, traders will require confirmed, stable values that do not fluctuate across an open HTF bar. Below, we explain the most reliable approach to achieve such a result.
Achieving consistent timing on all bars
One can retrieve non-fluctuating values with consistent timing across historical and realtime feeds by exclusively using request.security() to fetch the data from confirmed HTF bars. The best way to achieve this result is offsetting the `expression` argument by at least one bar (e.g., `close [1 ]`) and using barmerge.lookahead_on as the `lookahead` argument.
We discourage the use of barmerge.lookahead_on alone since it prompts the function to look toward future values of HTF bars across historical data, which is heavily misleading. However, when paired with a requested `expression` that includes a one-bar historical offset, the "future" data the function retrieves is not from the future. Instead, it represents the last confirmed bar's values at the start of each HTF bar, thus preventing the results on realtime bars from fluctuating before confirmation from the timeframe.
For example, this line of code uses a request.security() call with barmerge.lookahead_on to request the close price from the "1D" timeframe, offset by one bar with the history-referencing operator [ ] . This line will return the daily price with consistent timing across all bars:
float htfClose = request.security(syminfo.tickerid, "1D", close , lookahead = barmerge.lookahead_on)
Note that:
• This technique only works as intended for higher-timeframe requests .
• When designing a script to work specifically with HTFs, we recommend including conditions to prevent request.security() from accessing timeframes equal to or lower than the chart's timeframe, especially if you intend to publish it. In this script, we included an if structure that raises a runtime error when the requested timeframe is too small.
• A necessary trade-off with this approach is that the script must wait for an HTF bar's confirmation to retrieve new data on realtime bars, thus delaying its availability until the open of the subsequent HTF bar. The time elapsed during such a delay varies with each market, but it's typically relatively small.
👉 Failing to offset the function's `expression` argument while using barmerge.lookahead_on will produce historical results with lookahead bias , as it will look to the future states of historical HTF bars, retrieving values before the times at which they're available in the feed. See the `lookahead` and Future leak with `request.security()` sections in the Pine Script™ User Manual for more information.
Evolving practices
The fundamental technique outlined in this publication is currently the only reliable approach to requesting non-repainting HTF data with request.security() . It is the superior approach because it avoids the pitfalls of other methods, such as the one introduced in the `security()` revisited publication. That publication proposed using a custom `f_security()` function, which applied offsets to the `expression` and the requested result based on historical and realtime bar states. At that time, we explored techniques that didn't carry the risk of lookahead bias if misused (i.e., removing the historical offset on the `expression` while using lookahead), as requests that look ahead to the future on historical bars exhibit dangerously misleading behavior.
Despite these efforts, we've unfortunately found that the bar state method employed by `f_security()` can produce inaccurate results with inconsistent timing in some scenarios, undermining its credibility as a universal non-repainting technique. As such, we've deprecated that approach, and the Pine Script™ User Manual no longer recommends it.
█ METHOD VARIANTS
In this script, all non-repainting requests employ the same underlying technique to avoid repainting. However, we've applied variants to cater to specific use cases, as outlined below:
Variant 1
Variant 1, which the script displays using a lime plot, demonstrates a non-repainting HTF request in its simplest form, aligning with the concept explained in the "Achieving consistent timing" section above. It uses barmerge.lookahead_on and offsets the `expression` argument in request.security() by one bar to retrieve the value from the last confirmed HTF bar. For detailed information about why this works, see the Avoiding Repainting section of the User Manual's Other timeframes and data page.
Variant 2
Variant 2 ( fuchsia ) introduces a custom function, `htfSecurity()`, which wraps the request.security() function to facilitate convenient repainting control. By specifying a value for its `repaint` parameter, users can determine whether to allow repainting HTF data. When the `repaint` value is `false`, the function applies lookahead and a one-bar offset to request the last confirmed value from the specified `timeframe`. When the value is `true`, the function requests the `expression` using the default behavior of request.security() , meaning the results can fluctuate across chart bars within realtime HTF bars and repaint when the script restarts.
Note that:
• This function exclusively handles HTF requests. If the requested timeframe is not higher than the chart's, it will raise a runtime error .
• We prefer this approach since it provides optional repainting control. Sometimes, a script's calculations need to respond immediately to realtime HTF changes, which `repaint = true` allows. In other cases, such as when issuing alerts, triggering strategy commands, and more, one will typically need stable values that do not repaint, in which case `repaint = false` will produce the desired behavior.
Variant 3
Variant 3 ( white ) builds upon the same fundamental non-repainting approach used by the first two. The difference in this variant is that it applies repainting control to tuples , which one cannot pass as the `expression` argument in our `htfSecurity()` function. Tuples are handy for consolidating `request.*()` calls when a script requires several values from the same context, as one can request a single tuple from the context rather than executing multiple separate request.security() calls.
This variant applies the internal logic of our `htfSecurity()` function in the script's global scope to request a tuple containing open and `srcInput` values from a higher timeframe with repainting control. Historically, Pine Script™ did not allow the history-referencing operator [ ] when requesting tuples unless the tuple came from a function call, which limited this technique. However, updates to Pine over time have lifted this restriction, allowing us to pass tuples with historical offsets directly as the `expression` in request.security() . By offsetting all items in a tuple `expression` by one bar and using barmerge.lookahead_on , we effectively retrieve a tuple of stable, non-repainting HTF values.
Since we cannot encapsulate this method within the `htfSecurity()` function and must execute the calculations in the global scope, the script's "Repainting" input directly controls the global `offset` and `lookahead` values to ensure it behaves as intended.
Variant 4 (Control)
Variant 4, which the script displays as a translucent orange plot, uses a default request.security() call, providing a reference point to compare the difference between a repainting request and the non-repainting variants outlined above. Whenever the script restarts its execution cycle, realtime bars become historical bars, and the request.security() call here will repaint the results on those bars.
█ Inputs
Repainting
The "Repainting" input (`repaintInput` variable) controls whether Variant 2 and Variant 3 are allowed to use fluctuating values from an unconfirmed HTF bar. If its value is `false` (default), these requests will only retrieve stable values from the last confirmed HTF bar.
Source
The "Source" input (`srcInput` variable) determines the series the script will use in the `expression` for all HTF data requests. Its default value is close .
HTF Selection
This script features two ways to specify the higher timeframe for all its data requests, which users can control with the "HTF Selection" input (`tfTypeInput` variable):
1) If its value is "Fixed TF", the script uses the timeframe value specified by the "Fixed Higher Timeframe" input (`fixedTfInput` variable). The script will raise a runtime error if the selected timeframe is not larger than the chart's.
2) If the input's value is "Multiple of chart TF", the script multiplies the value of the "Timeframe Multiple" input (`tfMultInput` variable) by the chart's timeframe.in_seconds() value, then converts the result to a valid timeframe string via timeframe.from_seconds() .
Timeframe Display
This script features the option to display an "information box", i.e., a single-cell table that shows the higher timeframe the script is currently using. Users can toggle the display and determine the table's size, location, and color scheme via the inputs in the "Timeframe Display" group.
█ Outputs
This script produces the following outputs:
• It plots the results from all four of the above variants for visual comparison.
• It highlights the chart's background gray whenever a new bar starts on the higher timeframe, signifying when confirmations occur in the requested context.
• To demarcate which bars the script considers historical or realtime bars, it plots squares with contrasting colors corresponding to bar states at the bottom of the chart pane.
• It displays the higher timeframe string in a single-cell table with a user-specified size, location, and color scheme.
Look first. Then leap.
Long-Only Opening Range Breakout (ORB) with Pivot PointsIntraday Trading Strategy: Long-Only Opening Range Breakout (ORB) with Pivot Points
Background:
Opening Range Breakout (ORB) is a popular long-only trading strategy that capitalizes on the early morning volatility in financial markets. It's based on the idea that the initial price movements during the first few minutes or hours of the trading day can set the tone for the rest of the session. The strategy involves identifying a price range within which the asset trades during the opening period and then taking long positions when the price breaks out to the upside of this range.
Pivot Points are a widely used technical indicator in trading. They represent potential support and resistance levels based on the previous day's price action. Pivot points are calculated using the previous day's high, low, and close prices and can help traders identify key price levels for making trading decisions.
How to Use the Script:
Initialization: This script is written in Pine Script, a domain-specific language for trading strategies on the TradingView platform. To use this script, you need to have access to TradingView.
Apply the Script: You can do this by adding it to your favorites, then selecting the script in the indicators list under favorites or by searching for it by name under community scripts.
Customize Settings: The script allows you to customize various settings through the TradingView interface. These settings include:
Opening Session: You can set the time frame for the opening session.
Max Trades per Day: Specify the maximum number of long trades allowed per trading day.
Initial Stop Loss Type: Choose between using a percentage-based stop loss or the previous candles low for stop loss calculations.
Stop Loss Percentage: If you select the percentage-based stop loss, specify the percentage of the entry price for the stop loss.
Backtesting Start and End Time: Set the time frame for backtesting the strategy.
Strategy Signals:
The script will display pivot points in blue (R1, R2, R3, R4, R5) and half-pivot points in gray (R0.5, R1.5, R2.5, R3.5, R4.5) on your chart.
The green line represents the opening range.
The script generates long (buy) signals based on specific conditions:
---The open price is below the opening range high (h).
---The current high price is above the opening range high.
---Pivot point R1 is above the opening range high.
---It's a long-only strategy designed to capture upside breakouts.
---It also respects the maximum number of long trades per day.
The script manages long positions, calculates stop losses, and adjusts long positions according to the defined rules.
Trailing Stop Mechanism
The script incorporates a dynamic trailing stop mechanism designed to protect and maximize profits for long positions. Here's how it works:
1. Initialization:
The script allows you to choose between two types of initial stop loss:
---Percentage-based: This option sets the initial stop loss as a percentage of the entry price.
---Previous day's low: This option sets the initial stop loss at the previous day's low.
2. Setting the Initial Stop Loss (`sl_long0`):
The initial stop loss (`sl_long0`) is calculated based on the chosen method:
---If "Percentage" is selected, it calculates the stop loss as a percentage of the entry price.
---If "Previous Low" is selected, it sets the stop loss at the previous day's low.
3. Dynamic Trailing Stop (`trail_long`):
The script then monitors price movements and uses a dynamic trailing stop mechanism (`trail_long`) to adjust the stop loss level for long positions.
If the current high price rises above certain pivot point levels, the trailing stop is adjusted upwards to lock in profits.
The trailing stop levels are calculated based on pivot points (`r1`, `r2`, `r3`, etc.) and half-pivot points (`r0.5`, `r1.5`, `r2.5`, etc.).
The script checks if the high price surpasses these levels and, if so, updates the trailing stop accordingly.
This dynamic trailing stop allows traders to secure profits while giving the position room to potentially capture additional gains.
4. Final Stop Loss (`sl_long`):
The script calculates the final stop loss level (`sl_long`) based on the following logic:
---If no position is open (`pos == 0`), the stop loss is set to zero, indicating there is no active stop loss.
---If a position is open (`pos == 1`), the script calculates the maximum of the initial stop loss (`sl_long0`) and the dynamic trailing stop (`trail_long`).
---This ensures that the stop loss is always set to the more conservative of the two values to protect profits.
5. Plotting the Stop Loss:
The script plots the stop loss level on the chart using the `plot` function.
It will only display the stop loss level if there is an open position (`pos == 1`) and it's not a new trading day (`not newday`).
The stop loss level is shown in red on the chart.
By combining an initial stop loss with a dynamic trailing stop based on pivot points and half-pivot points, the script aims to provide a comprehensive risk management mechanism for long positions. This allows traders to lock in profits as the price moves in their favor while maintaining a safeguard against adverse price movements.
End of Day (EOD) Exit:
The script includes an "End of Day" (EOD) exit mechanism to automatically close any open positions at the end of the trading day. This feature is designed to manage and control positions when the trading day comes to a close. Here's how it works:
1. Initialization:
At the beginning of each trading day, the script identifies a new trading day using the `is_newbar('D')` condition.
When a new trading day begins, the `newday` variable becomes `true`, indicating the start of a new trading session.
2. Plotting the "End of Day" Signal:
The script includes a plot on the chart to visually represent the "End of Day" signal. This is done using the `plot` function.
The plot is labeled "DayEnd" and is displayed as a comment on the chart. It signifies the EOD point.
3. EOD Exit Condition:
When the script detects that a new trading day has started (`newday == true`), it triggers the EOD exit condition.
At this point, the script proceeds to close all open positions that may have been active during the trading day.
4. Closing Open Positions:
The `strategy.close_all` function is used to close all open positions when the EOD exit condition is met.
This function ensures that any remaining long positions are exited, regardless of their current profit or loss.
The function also includes an `alert_message`, which can be customized to send an alert or notification when positions are closed at EOD.
Purpose of EOD Exit
The "End of Day" exit mechanism serves several essential purposes in the trading strategy:
Risk Management: It helps manage risk by ensuring that positions are not left open overnight when markets can experience increased volatility.
Capital Preservation: Closing positions at EOD can help preserve trading capital by avoiding potential adverse overnight price movements.
Rule-Based Exit: The EOD exit is rule-based and automatic, ensuring that it is consistently applied without emotions or manual intervention.
Scalability: It allows the strategy to be applied to various markets and timeframes where EOD exits may be appropriate.
By incorporating an EOD exit mechanism, the script provides a comprehensive approach to managing positions, taking profits, and minimizing risk as each trading day concludes. This can be especially important in volatile markets like cryptocurrencies, where overnight price swings can be significant.
Backtesting: The script includes a backtesting feature that allows you to test the strategy's performance over historical data. Set the start and end times for backtesting to see how the long-only strategy would have performed in the past.
Trade Execution: If you choose to use this script for live trading, make sure you understand the risks involved. It's essential to set up proper risk management, including position sizing and stop loss orders.
Monitoring: Monitor the long-only strategy's performance over time and be prepared to make adjustments as market conditions change.
Disclaimer: Trading carries a risk of capital loss. This script is provided for educational purposes and as a starting point for your own long-only strategy development. Always do your own research and consider seeking advice from a qualified financial professional before making trading decisions.
basilGrid GridBot Live [basilChart]This strategy is a full implementation of Live Grid Trading.
Prominent features of this live grid trading strategy are:
- Logarithmic Chart Support: This strategy can support Log Scale on graph. Meaning that grid lines won't have irregular gaps in between the lines if you would like to view the chart Log Scaled. Every line will be aligned correctly even if you use Log Scale or not.
- Precise Buy & Sell: Script will execute precise Buy and Sell orders.
- Dynamic Grid Level Count: From 2 grid levels to n amount of grid levels are supported. There is no limitation on grid level count, however there may be irregularities because of limitations when higher grid levels are used. You can pick any number starting from 2.
- Average Price: Traders can monitor average price of positions.
- Alerts: When order is filled trader can receive notification. Create new alert > Select basilGrid Live > Order fills only()
Characteristics of this script:
- Able to fill more than one order in one single candle.
- Levels will keep being updated with every trade.
- There will be always one grid level ignored and it will be the level which made the last order filling possible. This is normal behavior of grid trading system.
- You can both use Log Scale and Normal Scale with this script. No issue will be on grid levels.
Using the script:
- Add this script to the chart from indicators tab
- Set starting date for the live grid bot either by dragging and dropping the vertical line or by the date-time picker from indicator Inputs tab.
- Set highest and lowest limit for the script. These will be the boundary limits. Highest and lowest price for the script to work on. Lines will populate between these two values
- Set grid level count. Number of levels of the grid.
- Set amount to spend on per level. This quantity of order will be placed on each level when needed.
After setting the above settings, there is one last thing to do in order to get precise results. It is setting the Initial Capital.
- We can set this setting from 'Properties' tab. Named 'Initial Capital'. After setting the boundaries all we need to is to navigate to TradingView's own 'Data Window', and get the value there. Then paste it on the strategy's own related setting area.
In this example we used pair BTCUSDT 1D timeframe, our settings are:
Inputs Tab:
- Grid Count: 19
- High Limit: 65 500
- Low Limit: 15 000
- Quantity per level: 0.1
- Toggle Log Scale: Checked (because I always use Log Scale on charts, if Log Scale is turned on for the chart, this needs to be checked)
- Terminate Grid At The Upmost Level: Not checked
- Show Grid Levels: Checked
- Show Average Position Price: Checked
Properties Tab:
- Initial Capital: 22 628
- Slippage: 5
- Commission: 0.1% (this is the broker commission value)
This script's purpose is to make it easier to get the idea of grid trading, experiencing it in live session.
bc Grid Backtest v1.4This strategy is a full implementation of Grid Trading backtest.
Prominent features of this backtesting strategy are:
- Logarithmic Chart Support: This strategy can support Log Scale on graph. Meaning that grid lines won't have irregular gaps in between the lines if you would like to view the chart Log Scaled. Every line will be aligned correctly even if you use Log Scale or not.
- Precise Buy & Sell: Script will execute precise Buy and Sell orders.
- Dynamic Grid Level Count: From 2 grid levels to n amount of grid levels are supported. There is no limitation on grid level count. You can pick any number starting from 2.
- Customized Backtesting Results Table: A table which includes data for those who want to know has been added at top right. It can be disabled.
Characteristics of this script:
- Able to fill more than one order in one single candle.
- Levels will keep being updated with every trade.
- There will be always one grid level ignored and it will be the level which made the last order filling possible. This is normal behavior of grid trading system.
- You can both use Log Scale and Normal Scale with this script. No issue will be on grid levels.
Using the script:
- Add this script to the chart from indicators tab
- Set starting and ending date for the grid backtesting bot either by dragging and dropping the vertical lines or by the date-time picker from indicator Inputs tab.
- Set highest and lowest limit for the script. These will be the boundary limits. Highest and lowest price for the script to work on. Lines will populate between these two values
- Set grid level count. Number of levels of the grid.
- Set amount to spend on per level. This quantity of order will be placed on each level when needed.
After setting the above settings, there is one last thing to do in order to get precise results. It is setting the Initial Capital.
- We can set this setting from 'Properties' tab. Named 'Initial Capital'. After setting the boundaries all we need to is to navigate to TradingView's own 'Data Window', and get the value there. Then paste it on the strategy's own related setting area.
In this example we used pair BTCUSDT 4h timeframe, our settings are:
Inputs Tab:
- Grid Count: 13
- High Limit: 72 000
- Low Limit: 17 000
- Logarithmic Grids: Checked (because I always use Log Scale on charts, if Log Scale is turned on, this needs to be checked)
- Quantity per level: 0.1
- Show Table: Checked
- Show Grid Levels: Checked
- Show Average Position Price: Checked
Properties Tab:
- Initial Capital: 24 902
- Slippage: 5
- Commission: 0.1% (this is the broker commission value)
This script's purpose is to make simulating possible outcomes between two dates. Therefore making it easier to get the idea of grid trading, finding the best settings for your risk management and for your portfolio.
40+ Coin Screener (workaround to 40 Security Limit Per Script) This is a far inferior method for a screener/scanner (compared to my first publication) but after looking at that script from a noobs eyes again, I could see how this form would be a lot easier to take in/understand so wanted to publish it. Everything that I could think of to mention about this is in my 1st pub so ill leave it to you to check it out...though I did include some comments in the script. It is pretty straight forward but if you have any questions don't hold them in. I'll answer them if I can. The only thing that is not in this one is setting up the alert feature so that you only have to create 1 alert per iteration of the script and it takes care of all of the coins for that iteration/set that is chosen in the settings (so please see previous script if would like to do this for your screener/scanner).
To be PERFECTLY CLEAR, the workaround is to the issue of not being able to scan but only 40 coins per script. You can scan more than 40 per script but only if you create "batches" or "sets" that the user can select within the settings which set to use for each iteration of the script on the chart. That being, you have to the script multiple times to the chart and merge them into 1 window and merge the scales (instructions in first publications). Here in this script I am scanning 72 different coins that are the Margin Coins on KUCOIN. I have split them up into 3 sets (24 coins per set). I could have made 2 sets but the script will be slower to load and to respond (like, when it comes to receiving alerts), thus I split them up the way I did. If you want to change any of this there are slightly more details in the previous script.
One great use-case that I LOVE about this particular version (and the way I use it) is right at the end of when I see a whole market dump/pump coming to an end and want to know which horse to bet on. Used to think whichever coin come out the fastest from the dump was the one to bet on but quickly learned that 1-2 (or even a few) hrs needs to go by first bc the ones that look the strongest in the beginning are NOT the ones to have performed the best when viewing the results 12 hrs later. IN FACT, many instances of using this exact script for reasons as such has taught me that the manipulators (I believe this to be the case as least) WANT everyone to bet on these that come out the gate the hardest and thus they make them move REALLY hard in the beginning then they QUICKLY become stagnant (moreso, they become WORSE than stagnant, they actually quickly retrace to put you into the negative so that you get out to get into the others now moving (to provide the market with more liquidity. They WANT you to get into a coin thats moving crazy hard so that they can then cease that movement once many fall for the trick just to then make that once strong looking coin now stagnant and make others move crazy hard. They wait for you to get out of the 1st and into the next set of movers just to do this time and time again bc hey, what are we sheep good for other than to provide the big guns with liquidity, am I right? Thats rhetorical, which you would know if you've ever had this happen to you (without a doubt MANY of you have). Let this script (above all other things) provide good evidence to back up this cynical way of viewing the markets to anyone that is questioning it.
This prolonged time between when the dump is over and when the ACTUAL movers REALLY start moving can actually be of great benefit to us sheep if used correctly, Firstly, it gives us some time to determine if when we thought was the bottom, ACTUALLY was the bottom. That bottom is easily determined if there are no (or very few) coins that went any lower than the point in time that the script began calculating on. Secondly, it allows us time to wait for the REAL movers and shakers to start moving and shaking.
One new feature that I LOVE that TV has implemented is the ability (once the script is added to the chart) to be able to click a point in time on the chart where you want the script to begin its calculations. If this point needs to be changed at any point in time then you can either go into the setting and input the time you wish or simply remove the script and add it again so that you are prompted to select another point in time. Ok, I think that everything I wanted to say. The next version that I will add will be probably my favorite and most used by yours truly...not to mention unique in a way that I have yet to see an implementation anything like it in all of TV's public library. Not to say its not there, but I have yet to come across it and I have DEFINITELY done my fair share of searching for it when I couldn't figure out how to code it for the longest time (though, I was and still am a noob so might get some great feedback on better ways to approach it, but we'll save that jabbering for the next of the publications.
I hope each and every one of ya'll (yes, Im from the South) have the GREATEST of Thanksgivings (if in the US that is...I graced my parents with the best gift anyone could have given them 35 years ago on Thanksgiving....MEEEE ;) So I will sure as hell be having a great holiday. Thanks for checking out my script...you can "like" and leave a comment if you so feel the urge to...or not. Im not doing this for me, but rather to stretch my arms out as far as possible to benefit the most people as possible and more people would see the script if it has more likes/comments/traffic pointing towards it...not to mention as other publishers have...it IS gratifying to see a few likes in my side window, which btw, I have MANY more variations and completely diff types of scanners/screeners Ill be publishing in the future and to know that they've become of use....I"VE become of use to the community is very....pleasing to me and does (as I've also seen many publishers mention as well) drive me to want to publish ones that I originally thought I would keep for myself. Peace out people.
Pinescript - Common String Functions Library by RRBCommon String Functions Library by RagingRocketBull 2021
Version 1.0
Pinescript now has strong support for arrays with many powerful functions, but still lacks built-in string functions. Luckily you can easily process and manipulate strings using arrays.
This script provides a library of common string functions for everyday use, such as: indexOf, substr, replace, ascii_code, str_to_int etc. There are 100+ unique functions (130 including all implementations)
It should serve as building blocks to speed up the development of your custom scripts. You should also be able to learn how Pinescript arrays works and how you can process strings.
Similar libraries for Array and Statistical Functions are in the works. You can find the full list of functions below.
Features:
- 100+ unique string functions (130 including all implementations) in categories: lookup, testing, conversion, modification, extraction, type conversion, date and time, console output
- Live Output for all/selected functions based on User Input. Test any function before using in script.
- Live Unit Test Output for several functions based on pre-defined inputs.
- Output filters: show unique functions/all implementations, grouping
- Console customization options: set custom text size, color, page length
- Support for Pages - auto splits output into pages with fixed length, use pages in your scripts
- Several easy to use console output functions to speed up debugging/output.
WARNING:
- Compilation Time: 1 min
Notes:
- uses Pinescript v3 Compatibility Framework
- this script is packed to the max and sets a new record in testing of Pinescript's limits: 500 local scopes, 4000+ lines, 180kb+ source size. It's not possible to add more ifs/fors/functions without reducing functionality
- to fit the max limit of local scopes = 500 all ifs were replaced with ?: where possible, the number of function calls was reduced, some calls replaced with inline function code
- ifs are faster (especially when lots of them are used in a for cycle), more readable, but ifs/fors/functions increase local scopes (+1) and compiled file size, have max nesting limit = 10.
- ?: are slower (especially in for cycles), hard to read when nested, don't affect local scopes, reduce compiled file size, can't contain plots, for statements (break/continue) and sets of statements
- for most array functions to work (except push), an array must be defined with at least 1 pre-existing dummy element 0.
- if you see "String too long" error - enable Show Pages, reduce Max Chars Per Page < Max String Length limit = 4096.
- if you see "Loop too long" error - hide/unhide or reattach the script
- some functions have several implementations that can be faster/slower, use internal code/ext functions
- 1 is manual string processing using for cycles (array.get) and ext functions - provided in case you want to implement your own logic, may sometimes be slower
- 2 is a 2nd alternate implementation mostly done using built-in functions (array.indexof, array.slice, array.insert, array.remove, str.replace_all),
attempts to minimize local scopes and dependency on ext functions, should generally be faster
- 3 is a 3rd alternate (array.includes, array.fill) or a more advanced implementation (datetime3_str) with lots of params, giving you the most control over output
- most functions have dependencies, such as const names, global arrays, inputs, other functions.
P.S. Strings of Time may be closed unto themselves or have loose ends; they can vibrate, stretch, join or split.
Function Groups:
1. Char Functions
- repeat(str, num)
- ascii_char(code)
- ascii_code(char)
- is_digit(char)
- is_letter(char)
- digit_to_int(char)
- is_space_char(char)
2. Char Test and Lookup Functions
- char_at(str, pos)
- char_code_at(str, pos)
- indexOf_char(str, char)
- lastIndexOf_char(str, char)
- nth_indexOf_char(str, char, num)
- includes_char(str, char)
3. String Lookup Functions
- indexOf(str, target)
- lastIndexOf(str, target)
- nth_indexOf(str, target, num)
- indexesOf(str, target)
- numIndexesOf(str, target)
4. String Conversion Functions
- lowercase(str)
- uppercase(str)
5. String Modification and Extraction Functions
- split(str, separator)
- insert(str, pos, new_str)
- remove(str, pos, length)
- insert_char(str, pos, char)
- remove_char(str, pos)
- reverse(str)
- fill_char(str, char, start_pos, end_pos)
- replace(str, target, new_str)
- replace_first(str, target, new_str)
- replace_last(str, target, new_str)
- replace_nth(str, target, new_str, num)
- replace_left(str, new_str)
- replace_right(str, new_str)
- replace_middle(str, pos, new_str)
- left(str, num)
- right(str, num)
- first_char(str)
- last_char(str)
- truncate(str, max_len)
- truncate_middle2(str, trunc_str, pos, max_len)
- truncate_from2(str, trunc_str, pos, max_len, side)
- concat(str1, str2, trunc_str, max_len, mode)
- concat_from(str1, str2, trunc_str, max_len, side, mode)
- trim(str)
- substr(str, pos, length)
- substring(str, start_pos, end_pos)
- strip(str, mask, target, is_allowed)
- extract_groups(str)
- extract_numbers(str, d1, d2, mode)
- str_to_float(str, d1, d2)
- str_to_int(str)
- extract_ranges(str, d1, d2, d3, type)
6. String Test Functions
- includes(str, target)
- starts_with(str, target)
- ends_with(str, target)
- str_compare(str1, str2)
7. Type Conversion Functions
- tf_check2(tf)
- tf_to_mins()
- convert_tf(tf)
- period_to_mins(tf)
- convert_tf2(tf)
- convert_tf3(tf)
- bool_to_str(flag)
- get_src(src_str)
- get_size(size_str)
- get_style(style)
- get_bool(bool_str)
- get_int(str)
- get_float(str, d1, d2)
- get_color(str, def_color)
- color_tr2(col_str, transp)
- get_month(str)
- month_name(num, format)
- weekday_name(num, format)
- dayofweek_name(t)
8. Date and Time Functions
- date_str(t, d)
- time_str(t, d)
- datetime_str(t, d1, d2)
- date2_str(t, d, type)
- time2_str(t, d, type)
- datetime2_str(t, d1, d2, format1, format2)
- date3_str(t, template)
- time3_str(t, template)
- datetime3_str(t, template)
9. Console Output & Helper Functions
- echo1(con, str)
- echo2(x, y, con, str)
- echo3(v_shift, con, str, msg_color, text_size)
- echo4(x, y, con, str, msg_style, msg_color, text_size, text_align, msg_xloc)
- echo5(x, y, con, str, msg_style, msg_color, text_size, text_align, msg_xloc)
- echo6(x, y, con, str)
- echo7(v_shift, con, str, msg_color, text_size)
- echo8(x, y, con, str, msg_style, msg_color, text_size, text_align, msg_xloc)
- echo9(x, y, con, str, msg_style, msg_color, text_size, text_align, msg_xloc)
- new_page(str, line_str, trunc_str, header_str, footer_str, length, page_count, page, mode)
PIN HUNTERScript Components
- Volume Weighted Averages (Daily, Weekly, Monthly and Yearly)
- Price bands created with Standard Deviation
- ALMA Indicator
- Automatic Trend Lines
How to use :
* The script has been written to work properly in all time periods. It is more appropriate to use visually in periods of 4 hours or less.
* First of all, it should be checked whether the price is below or above the yellow colored "ALMA Indicator".
* When the price crosses the yellow line down, it tends to touch the price below (curve, trend line or price line). These touches are used to determine the buying level by looking at the trend direction.
It is also necessary to calculate that the number of items to break below will change depending on the strength of the trend. The script doesn't teach you this experience, the decisions you make are always up to you.
The price, which starts to rise again by touching the lower level, will show an upward trend towards the "ALMA Indicator".
* When the price crosses the yellow "ALMA Indicator" line up, it tends to touch the price (curve, trend line or price line) above it. These touches are used to determine the selling level by looking at the direction of the trend.
* The main levels that are intended to be traded are Standard Deviation bands. (Example: Price crossing StD1 level upwards targets StD2 level in Uptrend. If the trend is still up StD3 level becomes target.)
* Automatic Trend Lines are created by the script as the price moves. Extend the trend lines to the right. These lines will serve as support and resistance in the next candles. Newly formed trend lines appear solid, old trend lines appear dashed.
I wish the script will be useful to everyone. I would like to thank you in advance for any contribution and criticism you will make.
Please have a look at my other scripts. Pivot STRTGY V1 is worth a try.
(Turkish)
Script Bileşenleri
- Hacim Ağırlıklı Ortalamalar ( Günlük, Haftalık, Aylık ve Yıllık)
- Standart Sapma ile oluşturulan fiyat bantları
- ALMA İndikatörü
- Otomatik Trend Çizgileri
Nasıl Kullanılır :
* Script tüm zaman periyodlarında sağlıklı olarak çalışacak şekilde yazılmıştır. Görsel olarak 4 saat ve altındaki periyodlarda kullanılması daha uygundur.
* Öncelikle fiyatın sarı renkli "ALMA İndikatörünün" altında veya üstünde oluduğuna bakılmalıdır.
*Fiyat sarı çizgiyi aşağıya kestiğinde bir altında bulunan fiyata ( eğri, trend çizgisi ya da fiyat hattı) dokunma eğilimi gösterir. Bu dokunuşlar trend yönüne de bakılarak alım seviyesini saptamaya yarar.
Trendin gücüne bağlı olarak aşağıda kırılacak öğe sayısının değişeceğini de hesaplamak gerekir. Script size bu deneyimi öğretmez, alacağınız kararlar her zaman size aittir.
Alt seviyeye dokunarak tekrar yükselmeye başlayan fiyat "ALMA İndikatörüne" doğru yükselme eğilimi gösterecektir.
* Fiyat sarı çizgiyi yukarıya kestiğinde bir üstünde bulunan fiyata ( eğri, trend çizgisi ya da fiyat hattı) dokunma eğilimi gösterir. Bu dokunuşlar trend yönüne de bakılarak satma seviyesini saptamaya yarar.
* Ticaret yapılması amaçlanan ana seviyeler Standart Sapma bandlarıdır. (Örnek : StD1 seviyesini yukarı yönde geçen fiyat Yukarı trendde StD2 seviyesini hedefler. Trend halen yukarı ise StD3 seviyesi hedef haline gelir.)
* Otomatik Trend Çizgileri fiyat hareket ettikçe script tarafından oluşturulur. Trend çizgilerini sağa doğru şekilde uzatın. Bu çizgiler sonraki mumlarda destek ve direnç vazifesi göreceklerdir. Yeni oluşan trend çizgileri katı, eskiden oluşmuş trend çizgileri kesikli olarak gözükürler.
Scriptin herkese faydalı olmasını dilerim. Yapacağınız her türlü katkı ve eleştiri için şimdiden teşekkürlerimi sunuyorum.
Lütfen diğer scriptlerime de göz atınız. Özellikle Pivot STRTGY V1 denemeye değer bir çalışmadır.
[blackcat] L2 Zero-lag EMA Swing TradeLevel: 2
Background
This script is a comprehensive work of mine, incorporating Ehlers zero-lag EMA and my first script published: MA fingerprint for long entries.
Function
Ehlers zero-lag EMA algorithm in this scripts is mainly used for short signal production, while my MA fingerprint algorithm is used for long entries.
Key Signal
a ---> Ehlers Zero-lag EMA fast line for subjective long jugement
b ---> Ehlers Zero-lag EMA slow line for subjective short jugement
long --> Swing long entry with partial postion
short --> Swing short entry with partial postion
Remarks
Feedbacks are appreciated. This script is optimized for 1D time frame.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
