X48 - Strategy | BreakOut & Consecutive (11in1) + Alert | V.1.2================== Read This First Before Use This Strategy ==============
*********** Please be aware that this strategy is not a guarantee of success and may lead to losses.
*********** Trading involves risk and you should always do your own research before making any decisions.
================= Thanks Source Script and Explain This Strategy ===================
► Description
Write a detailed and meaningful description that allows users to understand how your script is original, what it does, how it does it and how to use it
This Strategy Are Combine Strategy and Indicators Alert Function For Systematic Trading User.
Strategy List, Thanks For Original Source Script , From Tradingview Build-in Script From fmzquant Github
// Channel BreakOut Strategy : Calculate BreakOut Zone For Buy and Sell.
// Consecutive Bars UP/Down Strategy : The consecutive bars up/down strategy is a trading strategy used to identify potential buy and sell signals in the stock market. This strategy involves looking for a series of bars (or candles) that are either all increasing or all decreasing in price. If the bars are all increasing, it can be a signal to buy, and if the bars are all decreasing, it can be a signal to sell. This strategy can be used on any timeframe, from a daily chart to an intraday chart.
// 15m Range Length SD : Range Of High and Low Candle Price and Lookback For Calculate Buy and Sell.
Indicators Are Simple Source Script (Almost I'm Chating With CHAT-GPT and Convert pinescript V4 to V5 again for complete almost script and combine after)
// SwingHigh and SwingLow Plot For SL (StopLoss by Last Swing).
// Engulfing and 3 Candle Engulfing Plot.
// Stochastic RSI for Plot and Fill Background Paint and Plot TEXT For BULL and BEAR TREND.
// MA TYPE MODE are plot 2 line of MA Type (EMA, SMA, HMA, WMA, VWMA) for Crossover and Crossunder.
// Donchian Fans MODE are Plot Dot Line With Triangle Degree Bull Trend is Green Plot and Bear Trend is Red Plot.
// Ichimoku Cloud Are Plot Cloud A-B For Bull and Bear Trend.
// RSI OB and OS for TEXT PLOT 'OB' , 'OS' you will know after OB and OS, you can combo with other indicators that's make you know what's the similar trend look like?
// MACD for Plot Diamond when MACD > 0 and MACD < 0, you can combo with other indicators that's make you know what's the similar trend look like?
Alert Can Alert Sent When Buy and Sell or TP and SL, you can adjust text to alert sent by your self or use default setting.
========== Let'e Me Explain How To Use This Strategy =============
========== Properties Setting ==========
// Capital : Default : 1,000 USDT For Alot Of People Are Beginner Investor = It's Capital Your Cash For Investment
// Ordersize : Default Are Setting 5% / Order We Call Compounded
========== INPUT Setting ==========
// First Part Use Must Choose Checkbox For Use of Strategy and Choose TP/SL by Swing or % (can choose both)
// In Detail Of Setting Are Not Too Much, Please Read The Header Of Setting Before Change The Value
// For The Indicator In List You Want To Add Just Check ✅ From MODE Setting, It's Show On Your Chart
// You Can Custom TP/SL % You Want
========== ##### No trading strategy is guaranteed to be 100% successful. ###### =========
For Example In My Systematic Trading
Select 1/3 Strategy Setting TP/SL % Match With Timeframe TP Long Are Not Set It's Can 161.8 - 423.6% but Short Position Are Not Than 100% Just Fine From Your Aset
Choose Indicators For Make Sure Trend and Strategy are the same way like Strategy are Long Position but MACD and Sto background is bear. that's mean this time not open position.
Donchian Fans is Simple Support and Ressistant If You Don't Know How To Plot That's, This indicator plot a simple for you ><.
Make Sure With Engulfing and 3 Candle Engulfing If You Don't Know, What's The Engulfing, This Indicator are plot for you too ><.
For a Big Trend You can use Ichimoku Cloud For Check Trend, Candle Upper Than Cloud or Lower Than Cloud for Bull and Bear Trend.
Pine utilities
Click Signal IndicatorThis is a Signal Indicator that emits signals based on mouse clicks when the indicator is added to the chart, or later on in the "Settings/Inputs" tab by changing/selecting the open time of the desired bar of each one of the signals.
It is designed to be used as an External Input for the "Template Trailing Strategy" to verify the correctness of the features the aforementioned script offers, and to provide an easy way to play around with this framework.
Last but not least this script offers a way to debug and report problems when this is necessary. Moreover, this script is a simple example you can copy-paste and create your own custom signal indicator that can be "plugged into"
the "Template Trailing Strategy" taking advantage of all the fancy stuff the TTS framework can provide!
To connect this signal indicator to the TTS you have to change the "Deal Conditions Mode" to '🔨External' and the 'External Input 🛈➡' to 'CSI:🔌Signal' in the TTS "Settings/Inputs" tab. For more information check the "Template Trailing Strategy - Part 02" video tutorial.
Vertical Lines 2A vertical line plotting function is missing in Pinescript. This is another method to plot vertical line on a chart, and an improvement on my previous script "vertical lines" .
The script hacks the plotcandle function to display just the wicks without the body. This hack simulates a vertical line. The body of the candle is non-existing since the open and close are the same and its color is set to null. The wicks are abutting resulting in a continuous vertical line.
Drawbacks include inability to set width and transparency of the lines. The plotcandle function does not allow setting the width and transparency of the wicks. This feature would be desirable.
The crossing of the RSI of overbought and undersold zones is used as an example in this published script. Any indicator can be used and this script can be executed on any other indicator by using "add indicator" on the desired indicator, and selecting the indicator as the source. I added crossover lines on the plotted RSI as an example.
//////////////////////////////////////////////////////Breakdown of the script////////////////////////////////////////////////////////
The src input determines which price data is used for the highest value calculation. By default, it is set to the close price.
The length input determines the length of the RSI calculation. By default, it is set to 14.
The mult input determines the multiplier of the highest value that is used to determine the height of the vertical lines. By default, it is set to 100%, meaning the lines will reach the highest value in the dataset.
The top and bot inputs determine the overbought and oversold levels for the RSI. By default, they are set to 70 and 30, respectively.
The current_rsi and previous_rsi variables calculate the RSI values for the current bar and the previous bar, respectively.
The hi_value variable finds the highest value in the dataset, and the hi variable calculates the height of the vertical lines based on the highest value and the user-defined multiplier. The lo variable calculates the distance between the highest value and the current price data.
The uph, dnh, upl, and dnl variables determine the height and low of the vertical lines for when the RSI crosses overbought or oversold levels.
The if statements check if the RSI has crossed overbought or oversold levels and set the uph, dnh, upl, and dnl variables accordingly.
Finally, the plotcandle() function is used to plot the vertical lines on the chart. The open and close values are set to the src input, and the high and low values are set to the uph, dnh, upl, and dnl variables. The bordercolor argument is set to na to hide the borders of the lines, and the wickcolor argument is set to green or red, depending on whether the line is an overbought or oversold crossover.
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USBOND_BackCalcDetermining bond prices from yields on US Treasuries.
Cannot be used because it is not a chart of US Treasuries and yields.
米国債の利回りから債券価格を求める。
米国債利回り以外のチャートでは使用できません。
債券価格 = 100 * (1 + 利回り(終値))^(-残年数)
[-_-] DictionaryThe script shows an example implementation of dictionary-like data type which can store key:value pairs (Python style). Both keys and values can have any of the following type:
• string
• integer
• float
• boolean
• color
You can add items of different types to the same dictionary (e.g. key = 12 and value = "value" stored in the same dictionary with key = "key" and value = 0.23).
Under the hood dictionary is a custom Object (see www.tradingview.com), that has two array fields (one for storing keys, another for storing values). Keys and values of different types are converted into a string representation when adding a new item to the dictionary. The value is then converted back to certain type (bool/color/etc.) from that string representation when being retrieved. Script also utilises the new Methods (see www.tradingview.com).
The following methods are implemented:
• init() -> initialises the array fields of dictionary (without this the script throws an error "Array methods can't be called when ID of array is na"
• set(key, value) -> add a new item to dictionary; if an item for given key already exists - change it to new value
• getS(key) -> get value of string type
• getI(key) -> get value of integer type
• getF(key) -> get value of float type
• getB(key) -> get value of boolean type
• getC(key) -> get value of color type
• remove(key) -> removes item from dictionary
• len() -> get length of dictionary (the number of keys)
I could not make just one "get" function that returns any type of value (color/string/etc.), so instead I created a get function for each value type. Example usage:
• you add a string item: dictionary.set(2, "string here")
• you add a float item: dictionary.set(3, 24.56)
• to retrieve first value (key=2) do this: dictionary.getS(2)
• to retrieve second value (key=3) do this: dictionary.getF(3)
Transmit signals to overlayThis indicator transmits signals from another indicator panel to the main panel through the chart.
It may be suitable when it is not possible to use the main indicator with the "overlay=true" attribute.
For the script to work, the input signal must be "1" for BUY and "0" for SELL.
Alternative words: transmit signals, send, connect, broadcast, copy signals, duplicate.
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You can change display style:
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You can use alerts:
Number Formatting Indian/USAThis is a Pine script that helps traders format numbers in different ways to make it easier to read and display big numbers on TradingView.
this script is specifically to help other fellow pinecoder. Its not a indicator.
The above code is an example of how to format numbers in TradingView using two different formats: Indian and USA. The code defines a function called `formatNumber()` which takes two arguments: num (the number to format) and format (the format to use - either "Indian" or "USA").
If the "Indian" format is selected, the function rounds the number to the nearest crore, lakh or thousand and adds the appropriate suffix (i.e. "Cr", "Lac" or "K"). If the "USA" format is selected, the function rounds the number to the nearest billion, million or thousand and adds the appropriate suffix (i.e. "B", "M" or "K").
In both cases, the function then adds commas to the formatted number. The example usage shows how to call the `formatNumber()` function with a given number and format, and then plot the formatted number as a label on the chart.
Investing Performance with vs without feesHello traders,
I had a chat with a friend recently who's using a fund manager services to invest for him in some US-based ETFs tracking the US indices.
I showed him using an online tool that those 2% annual fees he's paying to his fund manager are eating a lot of his profit overtime.
As I had some time, I decided to code this simulator in Pinescript because .... why not :)
@RicardoSantos already did that Compound Interest function ()
I added the n parameter being the number of times the interest is compounded per unit of time
Compound interest is calculated using the following formula
CI = P*(1 + R/n) (n*t) – P
Here,
P is the principal amount.
R is the annual interest rate.
t is the time the money is invested or borrowed for.
n is the number of times that interest is compounded per unit t, for example if interest is compounded monthly and t is in years then the value of n would be 12.
If interest is compounded quarterly and t is in years then the value of n would be 4.
For now, the script only works on a yearly chart - I might update it later making it compatible with other chart timeframes - assuming there is some demand for it
If there is, let me know in the comments down below
All the best
Dave
[CLX] Library Motion - Examples📑 Showcase
This is ready-to-show indicator version of the example code form the `motion` library. It can be used to create string- or color-based effects.
Library:
================================================================================
📑 Setup
To use this library in your own scripts, you must first import it. To do this, add the following line to the top of your script:
import cryptolinx/Motion/1 as motion
Next, create a `keyframe` object by using the `varip` keyword.
varip myKeyframe = motion.keyframe.new(_intv = 1, _steps = 1)
Based on your needs, you can now use one of the simplified functions to create a transition effect, or you can use the `transition()` or `iteration()` function to create a custom transition effect.
📑 Simplified Functions:
(direct output)
// motion.marquee(keyframe myKeyframe, string _seq, int _ws, int _maxLoops, bool _ltr)
motion.marquee(myKeyframe, 'Hello World!', 3, 0) // 0 = infinite loops
// motion.slideInLeft(keyframe myKeyframe, string _seq, int _ws, int _maxLoops, bool _refill)
motion.slideInLeft(myKeyframe, 'Hello World!', 3, 0) // 0 = infinite loops
// motion.slideOutLeft(keyframe myKeyframe, string _seq, int _ws, int _maxLoops, bool _refill)
motion.slideOutLeft(myKeyframe, 'Hello World!', 3, 0) // 0 = infinite loops
// motion.slideInRight(keyframe myKeyframe, string _seq, int _ws, int _maxLoops, bool _refill)
motion.slideInRight(myKeyframe, 'Hello World!', 3, 0) // 0 = infinite loops
// motion.slideOutRight(keyframe myKeyframe, string _seq, int _ws, int _maxLoops, bool _refill)
motion.slideOutRight(myKeyframe, 'Hello World!', 3, 0) // 0 = infinite loops
// motion.blink(keyframe myKeyframe, string _seq, int _ws, int _maxLoops)
motion.blink(myKeyframe, 'Hello World!', 3, 0) // 0 = infinite loops
(indirect output)
// After you create a transition, you can use the `output` field of the `keyframe` object to get the result.
// motion.marquee(myKeyframe, 'Hello World!', 3, 0)
myKeyframe.output
Combined Strategy Trading Bot (RSI ADX 20SMA)Trading Bot V1, This code implements a combined trading strategy that uses several indicators and strategies to make buy and sell decisions in the market. The code is written in Pine Script™, which is a programming language used in the TradingView platform. By BraelonWhitfield.Eth
The strategy uses the Average Directional Movement Index (ADX) and the Pine SuperTrend indicator to identify trends and price movements in the market. The SuperTrend indicator is a popular technical analysis tool that helps to identify the direction of the current trend and provides entry and exit points for trades.
The strategy also uses the Relative Strength Index (RSI) to identify overbought and oversold conditions in the market. The RSI is a momentum indicator that measures the speed and change of price movements in the market.
The first part of the code defines the inputs for the ADX and DI Length, which are used to calculate the ADX and DI values. The dirmov() function is used to calculate the positive and negative directional indicators (plusDM and minusDM) based on the high and low prices. The truerange variable is then calculated using the True Range (TR) formula. Finally, the plus and minus variables are calculated using the smoothed moving average of the plusDM and minusDM values.
The adx() function is then used to calculate the ADX values based on the plus and minus variables. The Pine SuperTrend indicator is defined using the pine_supertrend() function. This function uses the high-low average (hl2) and the Average True Range (ATR) to calculate the upper and lower bands for the indicator. The direction of the current trend is then determined based on whether the current price is above or below the upper or lower bands.
The RSI values are then calculated using the ta.rsi() function, with the inputs for the close price and the RSI period. The overbought and oversold conditions are defined using the OB and OS inputs, which specify the threshold values for the RSI. The upTrend and downTrend variables are defined based on the direction of the Pine SuperTrend indicator.
The next part of the code defines the 20-period Simple Moving Average (SMA) using the ta.sma() function. The os and ob variables are then calculated based on the RSI values and the OB and OS inputs. The strategy.entry() function is used to define the buy and sell orders based on the upTrend and downTrend variables, as well as the Pine SuperTrend indicator, the 20-period SMA, and the os variable.
The final part of the code defines the Channel Breakout Strategy using the ta.highest() and ta.lowest() functions to calculate the upper and lower bounds of the channel. The strategy.entry() function is then used to define the buy and sell orders based on whether the current price is above or below the upper or lower bounds.
In summary, this code implements a combined trading strategy that uses several indicators and strategies to make buy and sell decisions in the market. The strategy is designed to identify trends and price movements in the market, as well as overbought and oversold conditions, to provide entry and exit points for trades. The strategy uses the Pine SuperTrend indicator, the ADX and DI indicators, the RSI, and the 20-period SMA, as well as the Channel Breakout Strategy to make informed trading decisions.
Backtest AdapterThis is a proof-of-concept Backtest Adapter that can be used with my recent publication "Machine Learning: Lorentzian Classification" located here:
This adapter is helpful because it enables interactive backtesting with TradingView's built-in "Strategy Tester" framework without the need to translate the logic from an "indicator" script to a "strategy" script.
To use this, one must have the "Machine Learning: Lorentzian Classification" script and this Backtest Adapter open simultaneously on the same chart. From there, simply change the "Source" setting of the Backtest Adapter to "Lorentzian Classification: Backtest Stream" to transfer the entry/exit signals stream to the Backtest Adapter.
For an example of how to implement your own backtest stream in your indicators, please refer to the "Backtesting" section in the source code of the "Machine Learning: Lorentzian Classification" script, which is shown below for convenience:
Wave Generator (WG)Pine Script Wave Generator Utility
Introduction:
The Pine Script Wave Generator Utility is a versatile tool that creates different wave patterns. The script provides the user with four different wave styles to choose from (Sine, Triangle, Saw, Square) with customizable parameters for the wave height, duration, number of harmonics, and phase shift.
Technical Details:
The script utilizes the mathematical functions sin, pi, and array.avg to generate wave patterns. The wave height and duration are the main inputs, and the number of harmonics and phase shift are additional inputs that add fine-tuning to the wave pattern.
The wave styles are created using different combinations of sine waves and are normalized so that the resulting wave always lies within a range of -1 to 1.
Usage:
The user can adjust the wave parameters using the input options in the script. The user can choose the wave style from the “Wave Select” option and set the wave height, wave duration, number of harmonics and phase shift by adjusting the corresponding input options.
Conclusion:
The Pine Script Wave Generator Utility is an efficient and effective tool for generating wave patterns. It can be used for a variety of purposes such as creating wave patterns for technical analysis, simulation, and testing purposes. The user can easily adjust the wave parameters to create custom wave patterns, making it a flexible and valuable tool.
Fib RetracementI've re-created the fib retracement tool as an indicator and this is as close as I can currently get to matching the built-in fib retracement tool.
Why did I make this? For custom labels for every fib retracement level.
Caveats to this vs the built-in tool are:
the "Save as Default" doesn't appear to work (I believe this is due to the interactive/confirm based settings)
copy and paste to another chart is locked into the price of source location
when dragging the points of retracement the tool/indicator disappears
Hopefully some can find usefulness in this code or it's functionality.
smplondonclinic StrategyHello my friend! I'm uploading the code for your strategy. I have included a feature in the settings menu called "Entry Direction" that you can use to isolate only longs, only shorts or have both directions at the same time for the backtesting. I have set the strategy to only open 1 position at a time, it will not open a new position unless the previous position is closed. If you want to remove that just let me know. The green/red triangles that you will see plotting on the chart are the potential entry signals, you can turn them off from the style panel in the settings menu. In the inputs tab besides the strategy settings you also have all the relevant parameters for the three indicators used.
Rocket Grid Algorithm - The Quant ScienceThe Rocket Grid Algorithm is a trading strategy that enables traders to engage in both long and short selling strategies. The script allows traders to backtest their strategies with a date range of their choice, in addition to selecting the desired strategy - either SMA Based Crossunder or SMA Based Crossover.
The script is a combination of trend following and short-term mean reversing strategies. Trend following involves identifying the current market trend and riding it for as long as possible until it changes direction. This type of strategy can be used over a medium- to long-term time horizon, typically several months to a few years.
Short-term mean reversing, on the other hand, involves taking advantage of short-term price movements that deviate from the average price. This type of strategy is usually applied over a much shorter time horizon, such as a few days to a few weeks. By rapidly entering and exiting positions, the strategy seeks to capture small, quick gains in volatile market conditions.
Overall, the script blends the best of both worlds by combining the long-term stability of trend following with the quick gains of short-term mean reversing, allowing traders to potentially benefit from both short-term and long-term market trends.
Traders can configure the start and end dates, months, and years, and choose the length of the data they want to work with. Additionally, they can set the percentage grid and the upper and lower destroyers to manage their trades effectively. The script also calculates the Simple Moving Average of the chosen data length and plots it on the chart.
The trigger for entering a trade is defined as a crossunder or crossover of the close price with the Simple Moving Average. Once the trigger is activated, the script calculates the total percentage of the side and creates a grid range. The grid range is then divided into ten equal parts, with each part representing a unique grid level. The script keeps track of each grid level, and once the close price reaches the grid level, it opens a trade in the specified direction.
The equity management strategy in the script involves a dynamic allocation of equity to each trade. The first order placed uses 10% of the available equity, while each subsequent order uses 1% less of the available equity. This results in the allocation of 9% for the second order, 8% for the third order, and so on, until a maximum of 10 open trades. This approach allows for risk management and can help to limit potential losses.
Overall, the Rocket Grid Algorithm is a flexible and powerful trading strategy that can be customized to meet the specific needs of individual traders. Its user-friendly interface and robust backtesting capabilities make it an excellent tool for traders looking to enhance their trading experience.
Grid Indicator - The Quant ScienceQuickly draw a 10-level grid on your chart with our open-source tool.
Our grid tool offers a unique solution to traders looking to maximize their profits in volatile market conditions. With its advanced features, you can create customized grids based on your preferred start price and line distance, allowing you to easily execute trades and capitalize on price movements. The tool works automatically, freeing up your time to focus on other important aspects of your trading strategy.
The benefits of using this tool are numerous. Firstly, it eliminates the need for manual calculation, making the analysis process much more efficient. Secondly, the automatic nature of the tool ensures that each grids are draw at precisely prices, giving you the best possible chance of maximizing your analysis. Finally, the ability to easily customize grids means that you can adapt your strategy quickly and effectively, even in rapidly changing market conditions.
So why wait? Take control of your trading and start using our innovative grid tool today! With its advanced features and ease of use, it's the perfect solution for traders of all levels looking to take their trading to the next level.
HOW TO USE
Using it is easy. Add the script to your chart and set the price and distance between the grids.
Premium/Discount Zone Buy/Sell Indicator JMJThis indicator calculates whether the opening price is in a premium or discount zone, based on the specified premiumThreshold and discountThreshold values. A premium zone is defined as when the difference between the high price and the opening price divided by the opening price is greater than or equal to premiumThreshold. A discount zone is defined as when the difference between the opening price and the low price divided by the opening price is less than or equal to discountThreshold. The premium and discount signals are plotted as green and red triangles, respectively.
HTF Bar Close CountdownThis simple indicator displays a countdown for the amount of time left until a bar of your chosen timeframe closes.
Displays up to 5 different HTF countdowns.
Fully Customizable to fit any style, change the text colors, background colors, frame colors, display size and border & frame widths.
Flat display option for a sleek look to mesh with your charts.
Notes/Tips:
Higher Time Frames only! This is only intended to view HTF countdowns, will not work when trying to use a timeframe lower than your current chart's.
Some weird timeframes do not work, you'll know when.
Only works on live charts! Will display "Closed" when on an inactive chart.
Does not work for replay! A countdown is pretty pointless on a replay that is not real-time anyways...
Enjoy!
ANTEYA ProfilingThis script allows to compare which code is more efficient by running it inside a loop for a certain time or a certain number of iterations.
Just paste your pieces of code as Option 1 and Option 2 inside the loop (see comments in the script).
Bar MagnifierMany times while developing algos based on patterns and reversals, I come across issues which needs lower timeframe inspection. Loading multiple charts and comparing equivalent lower timeframe is slightly cumbersome at times. Hence, I thought of building this simple tool - which will instantly provide me lower timeframe candles for given candle. Since the candle selection happen via confirmed time input, we can use this as slider to move from one candle to other for inspection.
🎲 Usage
🎯Loading the script
When you load the script, a prompt appears which asks you to select a time by clicking on the chart.
Select the bar you want to magnify and study
🎯Components
Once loaded, you can see the marker which tells which bar is magnified. And you can also see all the lower timeframe candles before that point. Please note that due to pine restrictions, we can only show last 250 lower timeframe bars. You can change the lower timeframe via settings to cover if the chart timeframe is very high.
🎯Moving to different bars
Click on the middle of the marker, you will see slider which you can slide to move from one bar to other.
Example, after sliding, you will see the lower timeframe data of new candle.
🎯Settings
Settings has only two inputs.
Bar time - selects the bar which needs to be inspected.
Lower timeframe - Default is 1 min. And select a timeframe according to your chart timeframe. Less than 1 min is not supported by security.lower_tf function. Hence, will not work.
[CLX] Progressbar - LogoThis script is part of the Library Progressbar - Showcase. You can find it under:
DCA Simulator A simple yet powerful Dollar Cost Averaging (DCA) simulator.
You just add the script to your chart, and you'll be able to see:
- Every single entry with its size
- The evolution of you average price in time (blue line)
- The profit and loss areas (where market price < average price the DCA is at loss, and the background is colored in red. At the contrary, where mkt price is > average price, it's profit area and the background is green).
- Max drawdown: the point in price and time where the DCA loss is maximum in the considered time interval. The drawdown amount is specified.
- Profit (or loss) and total cost at the end of the time interval or at the present day: the script shows how much the DCA is netting at a profit or loss, as well as the total cost of the DCA itself.
The parameters are:
- Date start and date end: time interval of the DCA simulation
- DCA period (you can choose between daily, weekly and monthly)
- Week day or month day if you choose those periods
- Single operation size (in base currency)
- Option to choose a DCA LONG or DCA SHORT (for uber bears)
- Option to include an exit strategy that partially closes your position (the % size closed can be chosen as well with the parameter "exit_close_perc") every time the DCA realizes a specific gain (choosable with the parameter "exit_gain_threshold"). If you choose "none" as an exit strategy, the script will assume to never close positions until the end of the period or the present day for simulation purpose.
NB: just ignore the TV strategy tester results, all the data are visible on the chart.
