Sublime Trading | Trailing StoplossWhat kind of traders/investors are we?
We are trend followers. Our scripts are designed to be used on the higher timeframes (weekly/daily) to catch the large moves/trends in the market.
Most have heard of long-term trend following. Few know how to execute the strategy.
Our scripts are designed specifically to identify and invest in long-term market trends.
What does this script do?
The exit from a position is arguably more important than the entry.
Traders/Investors will regularly find themselves in an asset based on some logic, but the exit management is very much an afterthought.
Hence why traders often take profit too early and hold onto losing positions. It is emotionally driven.
The Trailing Stoploss script is designed to remove the guesswork and show you precise levels you will want to consider exiting a position when an asset reverses.
How is the trailing stoploss produced?
The script uses the formula ATR 15 x 4.
We use ATR as it produces a stoploss which is unique to the volatility of the asset. The more volatile the asset, the wider the stoploss.
We use ATR 15 as it brings an average reading across half a month, incorporating days of extreme volatility.
The multiplier 4 works well to avoid positions being stopped out prematurely on pullbacks.
When the trailing stoploss is hit, this is where you will want to consider taking profit.
What is the best timeframe to use the script?
We recommend the daily timeframe as this is where trend followers enter assets to maximise the potential of long-term trends.
The higher timeframes are where traders and investors take fewer positions and hold for longer time periods.
The trailing stoploss follows the price of the asset a distance away to give the trend structure enough space and time to develop.
A trend is ultimately a function of time. If you eliminate time, you eliminate the trend. If you eliminate the trend, you eliminate profit.
The Trailing Stoploss script is necessary for investors who appreciate that profit is accumulated by letting winning positions run and not taking profit too early.
What makes this script unique?
Exit management and knowing when to let go of an asset is one of the main struggles budding investors face. This script has been coded specifically for the daily timeframe to:
Create a trailing stoploss that is unique to the volatility of the asset.
Allow investors to stay in positions for the duration of the trend over many months.
To distinguish between a pullback and a market reversal, allowing for discretion.
This TSL script is designed to manage positions investors take in line with long-term market trends.
Stoploss
Risk Management GO8686: Stop Loss, Position Size & TargetFull Name: Risk Management GO8686: Stop Loss, Position Size & Target
What this indicator provides:
A dashboard to calculate Stop Loss, Position Size and Target, where users can customize Risk Management parameters in the setting.
Position Size: calculated from "initialCapital", "Leverage", "Max Loss", "feeMaker", "feeTaker".
Stop Loss Price: using pivots, default length is set to 3, with an extra ATR value controlled by "'Multiplier OF Extra ATR".
Target: calculated from entry price, risk reward, distance between entry and stop loss, fees
What the indicator does Not provides:
entries of positions: The Long/Short entries displayed are just MACD signal crossing zero, users can apply their own entry logic, by modifying ready2L / ready2S variables.
What the indicator does Not guarantee:
the integrity, timeliness, accuracy, and comprehensiveness of the data, calculation method, calculation results, etc.
Two types labels:
1. Automated labels: they are displayed when MACD signal crossing zero, use "Display History Labels" to toggle display or not.
2. Setup Manually label: located at the right side of the latest bar, to display results when users setup manually
The settings of the indicator:
"Toggle to Reload",
"InitialCapital", "Leverage", "Max Loss % per trade", "feeMaker", "feeTaker",
4 length inputs for Pivot, "Multiplier of Extra ATR for stop loss",
"Toggle To setup manually", "Toggle between Long / Short", "Entry Price, set manually", "Stop Loss Price, set manually", "Risk-Reward Ratio"
"Display History Labels"
---------- Disclaimer ----------
Before using or requesting access to the indicator, customers/users acknowledge that they have read and accepted that the indicator, any associated contents on all social medias and any communication with the indicator author, including but not limited to: product and service details, signals, alerts, data, calculation methods, calculation results, user manual, tutorials, ideas, videos, chats, messages, emails, blogs, tweets, etc. are provided solely for educational purpose and Not as financial advice. Customers/users understand and agree to use the aforementioned indicator and information at their own risk.
---------- Updates ----------
The latest updates override the previous content.
To activate a update, if it does not load as expected: close the indicator, save the chart, clear browser caches, restart the browser, reload the chart and apply the indicator to the chart.
ProfitAlgoOverview
ProfitAlgo is a powerful and intuitive trading tool specifically developed to cater to the requirements of both beginners and experienced traders. It is designed to function in every timeframe and on all cryptocurrencies, stocks, indices, forex, futures, currencies, ETF's, energy and commodities. This innovative tool provides real-time signals, comprehensive trend analysis, and advanced risk management features, making it an indispensable asset for traders of all levels. This cutting-edge tool generates 'BUY' and 'SELL' signals, complemented by an array of robust analytical tools. Empower your trading analysis with this all-in-one solution and add to your arsenal of indicators to make well-informed decisions.
This algorithm incorporates a sophisticated Fourier smoothing technique to effectively filter price data, reduce noise and reveal underlying patterns and trends. By utilizing multiple price series data and incorporating Price Volume Trend, it leverages volume analysis and price movement patterns. Furthermore, the algorithm employs relative and simple moving average calculations to enhance signal clarity and filter out outliers, resulting in a more refined and robust indicator.
Features
Buy/Sell signals: Visually illustrated by 'BUY' and 'SELL' labels, these signals provide indications to traders about optimal times to enter or exit positions in the market based on the particular asset they are trading. Traders may want to enter long positions when buy signals appear, and enter short positions when 'SELL' signals appear.
Stop Loss/Take Profit Levels: Stop loss and take profit levels are predefined price thresholds that allow traders to automatically exit trades to limit losses or secure profits, respectively. Stop loss and take profit levels are visually depicted through three dotted lines on the trading chart, including the entry price, take profit (TP), and stop loss (SL). Additionally, a table displays the corresponding price entries for all three levels, providing a comprehensive overview of the trade. Traders can effectively manage their risk and optimize their trading by implementing predefined threshold settings and establishing take profit levels, thus safeguarding their profits using a strategic approach.
Support and Resistance Levels: Support and resistance levels are key price levels in the market that act as barriers or turning points for the price movement of an asset. Traders utilize these levels to identify potential areas of buying and selling opportunities. These can be depicted as red (resistance) and green (support) horizontal lines. These levels can serve as valuable complements to stop/loss and take profit levels, providing confirmation for profit-taking opportunities and facilitating effective risk management. Moreover, they can synergistically work alongside the price lines to identify potential reversal zones by visualizing market highs/lows in conjunction with areas of supply & demand.
Moving Average Bands: Moving average bands, plotted alongside the price data, dynamically change color based on the prevailing trend, with red indicating a downtrend and green representing an uptrend. This visual tool provides valuable insights to users, allowing them to quickly identify and interpret market trends. Integrating Moving Average bands with our buy/sell signals offers added confidence in identifying market trends, enabling traders to seek validation and enhance their decision-making process.
Trend Table: The trend table provides real-time information on the current trend of an asset, displaying three distinct outputs: "Uptrend," "Downtrend," and "Ranging Trend." This valuable tool enables users to assess the live trend of an asset, which may differ from the buy/sell signals. The primary objective of this feature is to analyze real-time trends in both ranging and trending market conditions. While the current signal may indicate a 'BUY' signal, the table can present an alternative output, providing valuable insights for traders and investors.
Price Lines: Price lines are depicted as two parallel grey lines running alongside the price data, representing the highs and lows of the market. This visual tool is utilized to identify patterns of higher highs and lower lows, enabling traders to gain insights into the overall trend and potential reversals in the market. When used in conjunction with our signals, MA bands and trend table, it may reinforce your interpretation of the underlying trend as well as provide insights into the trend strength.
*Note: These features are customizable via the settings menu in TradingView.
Calculations
How are buy/sell signals calculated?
The buy and sell signals are generated through a comprehensive calculation process that encompasses various types of analysis techniques. With permission from the author, wbburgin's Fourier transform is utilized to filter and extract relevant information from the price data, removing noise from the signals (filter is only applied in this feature). The buy and sell conditions are calculated based on a combination of volume-based analysis, and price movement patterns, employed to assess the direction and strength of market trends. The combination aims to produce a comprehensive view of both volume-based and price-based market dynamics. By integrating these analysis techniques, traders can gain insights into the relationship between volume, price, and market trends. This combined approach, as well as Fourier smoothing, can help identify potential market reversals, confirm trend strength, produce less noisy data and provide additional confirmation signals for trading decisions. By considering the insights provided by this analysis, the algorithm determines the appropriate actions, signaling the opportunities to enter or exit positions in the market. In summary, these calculations aim to identify favorable trading opportunities by considering factors such as trend strength, volume dynamics, and price patterns, ultimately assisting traders in making well-informed decisions in the market.
How are stop/loss and take/profit levels calculated?
The stop loss and take profit levels are calculated using a combination of technical factors, including the Average True Range (ATR) and Exponential Moving Average (EMA). The rationale for this combination is to enable dynamic risk management and align profit targets with the prevailing market conditions; ATR provides a measure of volatility and risk, while EMA helps identify the underlying trend, allowing for effective stop-loss and take-profit placement. These indicators are utilized to gauge market volatility and determine suitable levels for managing risk and securing potential profits. By incorporating ATR and EMA calculations, the algorithm generates dynamic stop loss and take profit levels that adapt to market conditions.
Calculating support and resistance levels
These levels help identify areas where the price tends to find support (support levels) or encounter resistance (resistance levels). This script utilizes pivot point calculations to determine these significant price levels, which can assist traders in trading decisions regarding potential price reversals, trend continuations, and entry/exit points in their strategies.
What are the moving average bands based on?
The moving average bands, based on VWMA (Volume Weighted Moving Average) calculations using OHLC4 price data, are visualized as unique bands on the chart. VWMA bands are chosen to find trends because they effectively combine volume-weighted calculations with moving averages, providing valuable insights into the strength and direction of price movements. These bands dynamically change color to reflect the prevailing trend. In an uptrend, the bands are represented by a green color, while in a downtrend, they appear in red. The VWMA bands utilize a unique counting method to capture trend movements and potential reversals.
How is the Trend Table calculated?
The underlying trends in the trend table are calculated based on counting methods applied to the VWMA bands. It utilizes specific thresholds to determine different trends, such as "Up Trend," "Down Trend," and "Ranging Trend." These thresholds are used to assess the current trend of the asset and provide valuable insights for traders.
Price Lines Calculation
The price lines are calculated based on the price data. They represent the range of prices, with one line plotted above the closing price and another line plotted below it. The space between these lines is filled to visualize the price volatility. Traders can utilize these lines to identify significant price levels and observe the overall price movement.
Disclaimer:
The information provided in my indicators/strategies/systems is not intended as financial advice. I assume no responsibility for any losses or damages, including loss of profits, resulting from the use of or reliance on such information.
All investments carry risks, and past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors bear full responsibility for their investment decisions, which should be based on their own evaluation of financial circumstances, investment objectives, risk tolerance, and liquidity requirements.
Please note that my indicators/strategies/systems are solely for educational purposes! DO NOT request access in the comment's section.
Stop loss and position size calculator (ATR)Calculates and plots Stop Loss and Position Size, based on desired ATR factor.
Displays Stop Loss Price, SL Distance Percent and Position Size overlayed in the chart and plots a stop loss line.
Additionally Stop Loss, ATR, SL Distance and Position Size are also displayed in the Data Window.
Available settings:
Trade - long / short
ATR timeframe - Allows to use ATR based on different timeframe than the current chart.
ATR factor - Stop Loss will be calculated by multiplying ATR with this factor.
Show last - Amount of previous stop loss lines to plot
Line Offset - Positions previous sl calculation under/above current price.
Calculation Offset - Displays calculation based on price action of previous bar(s).
Label Display Distance - Defines position of label relative to current bar.
Risk - Amount you are going to risk if stop loss is hit.
Spinn: SuperStopAdaptive Trailing Stop-Loss Indicator
This indicator will be beneficial for traders who have already opened a position and are looking to maximize their profits but are uncertain about the optimal time to exit. It provides clear and adaptive stop-loss levels based on market data, especially in highly volatile markets. It offers the ability to close trades automatically (through the use of web-hooks).
The algorithm is based on using the Average True Range (ATR) to set stop-loss levels. The scaling factor allows you to adjust the optimal distance from the stop-loss line to the price line.
A unique feature of this indicator is that the user can set the target timeframe (Target TF). This means that instead of just using the current chart's timeframe, you can set a multiplier or choose the target timeframe manually. This offers the ability to analyze volatility across different timeframes, which can be valuable for various trading strategies.
The timeframe multiplier is a highlight of this indicator. When switching the current timeframe, there is no need to manually change the target timeframe - this is very convenient.
The ability for automatic alerts when the price touches or crosses stop-loss levels is included.
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Индикатор адаптивных плавающих Стоп-лоссов
Индикатор будет полезен для трейдеров, которые уже открыли сделку и хотят максимизировать свою прибыль, но не уверены в оптимальном моменте для выхода. Он предоставляет четкие и адаптивные уровни стоп-лоссов, основанные на рыночных данных, особенно при высокой волатильности. Дает возможность закрывать сделки в автоматическом режиме (через использование веб-хуков).
Алгоритм основан на использовании среднего истинного диапазона (ATR) для определения уровней стоп-лоссов. Коэффициент масштабирования дает возможность настроить оптимальное расстояние от линии стоп-лосса до линии цены.
Особенность индикатора в том, что пользователь может настроить целевой таймфрейм (Target TF). Это значит, что вместо того чтобы просто использовать текущий таймфрейм графика, можно установить множитель или выбрать целевой таймфрейм вручную. Это дает возможность анализировать волатильность на разных временных рамках, что может быть полезно для различных торговых стратегий.
Множитель таймфрейма - это фишка данного индикатора. При переключении текущего таймфрейма не придется вручную менять целевой таймфрейм - это очень удобно.
Предусмотрена возможность автоматических оповещений при касании или пересечении уровней стоп-лоссов.
AIR Vortex ADXThis project started as an effort to improve the user interface of the hybrid indicator ADX of Vortex, which is, as per the name, a blend of ADX and Vortex Indicator. Plotting both indicators on the same polarity and normalising the vortex, a better interpretation of the interaction between the two is possible, and trend becomes apparent.
Basically, the Vortex provides the bright punch and ADX the continuation of the trend and momentum.
A range mixer has been added to the vortex, comprising both true and interpercentile ranges (see my previous script for a desrciption of interpercentile range). Users can activate and add amounts of each as they see fit.
Finally, there is an RSI filter, the idea of which is to filter out ranging (flat) markets, where no distinct direction is yet emerging.
IKH Cloud V1.0 (nextSignals)The IKH Cloud V1.0 (nextSignals) is an Ichomoku-type indicator that can be used for various trading strategies. It's based on a ThinkScript study from @stephenharlinmd (aka nextSignals) that uses an instantaneous moving average as the base MA, and a custom trailing stop. Both of these components form the cloud.
Indicator Components and Calculation
The indicator comprises two key components:
Instantaneous Moving Average (IMA) : This is a type of moving average that places a greater weight on the most recent data points, and is based on Ehler's book "Rocket Science for Traders". This is slightly different from the Doc's original, but is very approximate.
Trailing Stop : This component helps determine the stop loss level that moves along with the price. The trailing stop is based on the highest high and the lowest low of the last 5 bars, as well as the simple moving averages of the low and high of the previous bar. The trailing stop is calculated separately for each condition: when the bar index is greater than 1 and when the previous 'a' variable is either 1 or 0.
These two components are used to create a filled area on the chart, also known as the 'cloud'. The color of the cloud and the candlesticks change based on the relative positions of the IMA and the trailing stop.
How to Use the Indicator
The following are just ideas on how to use this indicator, and is not financial advice in any form:
Trend Identification: When the IMA is above the trailing stop (cloud), it indicates an uptrend, and when it's below, it indicates a downtrend.
Entry/Exit Signals: Traders can consider going long when the candlesticks move above the cloud and short when they move below the cloud.
Stop Loss Level: The trailing stop line (the cloud's edge) can serve as a dynamic stop loss level.
Please don't use just this indicator on its own. Please use this in conjunction with other analysis tools, indicators, and systems you already have in place. Always consider the overall market context and use appropriate risk management strategies.
VolatilityThis script shows three different calculations for volatility.
All three can be used as Stop-Loss...
- Absolute Price Changes
- Maximum Price Fluctuation
- and every one should know Average True Range
The script has a dark and light theme.
And the colors can be changed and each can be deactivated.
On top of that I stumbled over the fact that when MPF crosses over APC
this could result in a significant change in price and could also be used as an entry or exit.
This is also highlighted by default. You can change its background color and you can deactivate it too.
ACP measures volatility over most recent close prices.
This is excellent for comparing volatility.
It includes both frequency and magnitude.
In other words: Sum of differences between second to last close price and last close price as absolute value for 'n' bars.
MPF measures volatility over most recent candles, which could be used as an estimate of risk.
It may also be effective as the basis for a stop-loss or take-profit,
like the ATR but it ignores the frequency of directional changes within the time interval.
In other words: The difference between the highest high and lowest low over 'n' bars.
When you don't know what the ATR is then you can look at this link .
Smoother Momentum Stops [Loxx]Smoother Momentum Stops (SMS) is a dynamic tool that combines the logic of momentum and moving averages to create an overlay of the market price and generate potential trade signals. The original idea for this indicator comes from the beloved and esteemed trading indicator guru Mladen Rakic.
Understanding the Framework
The SMS incorporates various aspects of technical analysis, including momentum calculation, several types of moving averages, and an intelligent stop-and-reverse system that determines when to enter and exit trades.
The indicator initiates by defining the color scheme for visualization, specifically green for bullish trends and red for bearish trends. It further utilizes the 'smmom' and 'fema' functions to calculate smoothed momentum and fast exponential moving averages, respectively. The values computed by these functions are central to the signal generation process.
Momentum Calculation
The 'smmom' function serves to calculate a smoother momentum by taking a source (such as the closing price) and a period as inputs. This function employs a complex algorithm involving exponential moving averages (EMA), wherein two EMAs are calculated with different smoothing factors, and the difference between the two results is returned as the output. This smooth momentum calculation assists in eliminating unnecessary noise from the market and delivers more reliable momentum readings.
Moving Averages Computation
One key feature of the SMS is the ability to select from five different moving average types: Exponential Moving Average (EMA), Fast Exponential Moving Average (FEMA), Linear Weighted Moving Average (LWMA), Simple Moving Average (SMA), and Smoothed Moving Average (SMMA). The 'variant' function assigns the chosen method to the '_avg' variable, which is then used in the trade signal logic.
Trade Signal Generation
SMS employs a complex yet robust mechanism for generating trade signals. A stop-and-reverse system is established, which works on the principle of momentum. If the smoothed momentum is positive, an upper stop is determined and if the momentum is negative, a lower stop is defined.
The process continues by defining long and short entry conditions. The indicator goes long when an upper stop exists, and the previous bar had a lower stop, signifying a shift in momentum. The short entry condition is the opposite: the indicator goes short when a lower stop exists, and the previous bar had an upper stop. Alerts are generated for each of these conditions, helping traders to take timely action.
Visual Representation and UI Options
In terms of visual representation, the indicator plots upper and lower stops, employing green color for upper and red for lower stops. If the option to color bars is chosen, the entire bar is colored green or red, based on whether an upper or lower stop exists. This feature allows traders to visually comprehend market conditions better. Support and reisstance levels are also provided for visual context.
Conclusion
The Smoother Momentum Stops indicator is a potent tool for traders seeking to optimize their trading strategies. It blends the fundamentals of momentum and moving averages, resulting in a robust system that provides clear, reliable, and timely trading signals. By adjusting the smoothing type and period parameters, traders can customize the indicator to fit various market conditions and asset types, thereby adding a layer of flexibility to their trading strategies.
The use of a stop-and-reverse system adds a layer of risk management by offering precise entry and exit points based on momentum shifts. These stops are not just mere levels of entries or exits, but they reflect the undercurrent of the market's momentum, thus providing a dynamic framework to make informed trading decisions.
Additionally, the SMS indicator offers visual simplicity. The color-coded bars and distinct symbols for long and short positions make it easier for traders to interpret the signals and market direction quickly. Combined with the alert system, it ensures that traders never miss an important trading opportunity.
Finally, the power of the SMS indicator lies in its adaptability and comprehensive approach. By providing a selection of moving averages and an intelligent momentum-based system, it encapsulates various aspects of market behavior. As such, it is a useful tool not just for momentum traders, but for any trader who understands the significance of moving averages and momentum in predicting market movements.
In conclusion, the Smoother Momentum Stops indicator stands as an innovative, adaptable, and powerful tool for the modern trader. Its blend of flexibility, dynamic risk management, and straightforward visualization offer a comprehensive solution for traders looking to navigate the complex world of financial markets. With a detailed understanding of its workings as presented in this essay, traders can harness its full potential to optimize their strategies, manage risk, and achieve their trading objectives.
AIR Supertrend (Average Interpercentile Range)Supertrend (ST) is a popular stop loss and trend identification script. The simplicity of seeing a clean trend on a chart makes it attractive, yet it is restricted by only allowing the source, length and multiplier to be adjusted, & these tend to have a limited effect on the properties of the identified trend.
There is a wide variety of interesting ST scripts on TradingView that give the user more control, but none to my knowledge, based on measuring the statistical dispersion of Average Interpercentile Range (AIR).
Two more levels of control:
Normally, ATR Average True Range is used to calculate the range in ST. ATR is initially calculated using RMA to smooth out True Range. This script gives the user the option of changing the MA to some more interesting varieties & modifying their parameters.
The default range setting when you load the indicator on a chart will be AIR.
The real strength of the indicator, however, and the reason I am publishing it, is to release AIR. Play round with the percentile range setting. Lowering it will allow you to stay longer in a trade in a volatile market. Raising it will make it tighter.
For comparison, you can switch back the range setting to ATR and load up RMA to see how the original, classic ST plots.
Alerts are included in this version. Alway use a stop loss.
DISCLAIMER: None of this is financial advice.
Credits to these authors, whose hard work inspired parts of this script:
@ KivancOzbilgic - SuperTrend
@ KioseffTrading - Tillson T3 MA
@ cheatcountry - Hann Window Smoothing
@ mutantdog - Interquartile Range function in his 'Blaze' script
Engulfing and Doji Scanner with SLThe Bullish Engulfing pattern occurs when the close is higher than the open, and scripts will look for this pattern by checking the difference in the close and open prices sufficiently in pips. Likewise, the Bearish Engulfing pattern occurs when the close is lower than the open, and scripts will look for this pattern by checking for sufficient difference in the open and close in pips.
The Doji pattern occurs when the absolute difference between the open and close prices is very small compared to the price range for that period. The script will look for these patterns by comparing the difference between the open and close prices by a certain percentage of the price range.
After the patterns are detected, the script will calculate the Stop Loss (SL) and Take Profit (TP) levels based on the parameters set. The SL level will be determined based on the lowest price range with certain adjustments, while the TP level is calculated using a 1:1 ratio to the SL distance.
This script will display arrows and Stop Loss and Take Profit labels on the chart to assist traders in identifying relevant patterns and levels. However, it is important to remember that these scripts only assist in the analysis of patterns and levels, and a more complete trading strategy and decision-making remains the responsibility of the trader.
Take profit and Stop Loss ATR HL [Tcs] | ALGOThis indicator helps traders set stop loss and take profit levels based on either ATR or High-Low range.
The indicator calculates stop loss and take profit levels for both long and short positions, based on the user's input of ATR length, ATR smoothing method, and multiplier levels for each level. It’s possible to set 3 levels of take profit, for both long and short trades.
The indicator also includes the option to show or hide levels, bands, and labels for the calculated stop loss and take profit levels.
Additionally, the indicator has a function to calculate the user's risk based on their account balance, risk percentage, and broker fees.
Overall, this indicator can be helpful for traders who use stop loss and take profit levels in their trading strategies and want a visual representation of those levels on their charts.
Please note that this indicator is for educational purposes only and should not be used for trading without further testing and analysis.
Cyatophilum SmartStrategy MakerThis indicator allows you to use any other indicator from the TradingView library and create complex entry and exit conditions with ease thanks to several external inputs. Add risk management to your strategy and backtest it before creating alerts!
Key Features:
1 — Entry Conditions: Traders can define their entry conditions using up to three sources. They can choose from several options such as "Cross," "Crossover," "Crossunder," "Above," "Below," or "Equal" for comparing the selected sources.
2 — Entry Gates: Users can set logical gates (e.g., "AND," "OR," "XOR," "NAND," "XNOR") to combine multiple entry conditions.
3 — Exit Conditions: Similar to entry conditions, traders can define exit conditions based on two sources and select from various comparison options.
4 — Stop Loss: The indicator allows users to enable or disable a stop-loss feature. The stop-loss value is calculated based on a percentage of the base order price.
5 — Take Profit: Traders can set multiple take-profit levels by specifying the number of take profits, a base percentage, and a step value. Take profits can be defined as a percentage from the total volume or the base order.
6 — Safety Orders (DCA): The indicator supports the use of safety orders (Dollar Cost Averaging) to help manage risks. Users can set the number of safety orders, price deviation, step scale, and volume scale.
7 — Backtest Settings: Traders can define the start and end periods for backtesting their strategy. This feature allows them to analyze the performance of their strategy within specific timeframes.
8 — Alerts: The indicator provides the option to create alerts for entry, exit, stop loss, take profit, and safety orders. Users can customize the alert messages using placeholders for dynamic values like price, symbol, and order size.
Limit Order + ATR Stop-Loss [TANHEF]This indicator enables interactive placement of limit or stop-limit orders with a trailing ATR stop-loss and optional profit target (with alerts). Refer to the images below for further clarification.
Why use a trailing stop-loss?
A trailing stop-loss serves as an exit strategy when price moves against you, while also allowing you to adjust the exit point further into profit when price moves favorably. The ATR (Average True Range), a reliable measure of volatility, acts as an effective risk management tool, functioning as a trailing stop-loss.
Indicator Explanation
Initial indicator placement: Select Long Limit or Long-Stop Limit order.
Change Entry Type: Switch between Long and Short within settings.
Modify entry price: Drag circle, adjust in settings, or re-add indicator to chart.
Optional Profit Target: Use Risk/Reward ratio or specify price.
Entry anticipation: Estimated ATR stop-loss and profit target as blue circles (fluctuates with volatility changes).
Entry triggered: Actual ATR stop-loss and profit target plotted.
Exit conditions: Stop-loss or profit target hit, exit entry.
Update Frequency: Continuously, Bar Open, or Bar Open on entry then continuously.
ATR Overlap: no entry occurs if the ATR overlaps with price (stop-loss 'hit' already on entry bar)
Table: Displays input settings selected.
Show Only On Ticker: Ability to hide indicator on other tickers.
Long Limit
Long Stop-Limit
Short Limit
Short Stop-Limit
Alerts
1. 'Check' alerts to use within indicator settings (entry, trailing stop hit, profit target hit, and failed entry).
2. Select 'Create Alert'
3. Set the condition to 'Limit Order + ATR Stop-Loss''
4. Select create.
Additional details can be added to the alert message using these words in between Curly (Brace) Brackets:
{{trail}} = ATR trailing stop-loss (price)
{{target}} = Price target (price)
{{type}} = Long or Short stop-loss (word)
{{traildistance}} = Trailing Distance (%)
{{targetdistance}} = Target Distance (%)
{{starttime}} = Start time of position (day:hr:min)
{{maxdrawdown}} = max loss
{{maxprofit}} = max profit
{{update}} = stoploss update frequency
{{entrysource}} = entry as 1st bar source (yes/no)
{{triggerentry}} = Wick/Close Trigger entry input
{{triggerexit}} = Wick/Close Trigger exit input
{{triggertarget}} = Wick/Close Trigger target input
{{atrlength}} = ATR length input
{{atrmultiplier}} = ATR multiplier input
{{atrtype}} = ATR type input
{{ticker}} = Ticker of chart (word)
{{exchange}} = Exchange of chart (word)
{{description}} = Description of ticker (words)
{{close}} = Bar close (price)
{{open}} = Bar open (price)
{{high}} = Bar high (price)
{{low}} = Bar low (price)
{{hl2}} = Bar HL2 (price)
{{volume}} = Bar volume (value)
{{time}} = Current time (day:hr:min)
{{interval}} = Chart timeframe
{{newline}} = New line for text
Supertrend - Optimised Exit We created a small script that will allow you to have a quick look into static SL/PT to choose from. This might save you time, replacing the manual search for optimal SL/PT.
We're checking signals of the strategy and computing its performance with a grid of SL/PT selected.
We used SuperTrend signals in this example, but it will be straightforward to integrate your signals.
In addition to total Return, we compute MAX Dd and Profit Factor. Other metrics can be implemented as well.
Thanks to @MUQWISHI for helping code it.
Disclaimer
Please remember that past performance may not indicate future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
Trend Critical Price for MACDIt is known that direction of trend detected with the MACD indicator is estimated according to the ascending or descending direction of the histogram.
The histogram in turn depends on the value of the difference between the MACD line and the signal line.
So, to consider that the histogram maintains a trend, it is necessary that the current value of the histogram have a value at least equal to its immediately previous value. In other words, for example if the previous value of the histogram was 100, for the trend to continue it is expected that the new value of the histogram should be 100 again.
Knowing this, it is possible to obtain the closing value of the current price candle in such a maner that the current value of Histogram is equal to the previous value. This is achieved by applying an algebraic operation resulting in the Critical Trend Price (TCP) for MACD.
Knowing this critical trend price can be useful for estimating the development of the trend according to real-time price action, visualizing for a target to hit, or estimating stop-loss.
Set this indicator just like the MACD and this calculates and returns the critical price that must be reached to maintain the current trend.
This plot a critical price line.
Also allows to show-hide a price band (High-Low)
Every time the asset price closes below the critical price, the trend is turning down. On the other hand, every time the price closes above the critical price, the trend is turning bullish. In both cases the price band shows a light tone.
An uptrend is considered confirmed when the low price at the end of the period is above the critical trend price. The price band will look green.
A downtrend is considered confirmed when the maximum price at the end of the period is below the critical trend price. The price band will look purple.
How is the Trend Critical Price (TCP) calculated?
By default it works with the closing price of each observed candle. If you need to see a MACD you will have to mount it separately. The configuration parameters of TCP must match the MACD.
FRAMA & CPMA Strategy [CSM]The script is an advanced technical analysis tool specifically designed for trading in financial markets, with a particular focus on the BankNifty market. It utilizes two powerful indicators: the Fractal Adaptive Moving Average (FRAMA) and the CPMA (Conceptive Price Moving Average), which is similar to the well-known Chande Momentum Oscillator (CMO) with Center of Gravity (COG) bands.
The FRAMA is a dynamic moving average that adapts to changing market conditions, providing traders with a more precise representation of price movements. The CMO is an oscillator that measures momentum in the market, helping traders identify potential entry and exit points. The COG bands are a technical indicator used to identify potential support and resistance levels in the market.
Custom functions are included in the script to calculate the FRAMA and CSM_CPMA indicators, with the FRAMA function calculating the value of the FRAMA indicator based on user-specified parameters of length and multiplier, while the CSM_CPMA function calculates the value of the CMO with COG bands indicator based on the user-specified parameters of length and various price types.
The script also includes trailing profit and stop loss functions, which while not meeting expectations, have been backtested with a success rate of over 90%, making the script a valuable tool for traders.
Overall, the script provides traders with a comprehensive technical analysis tool for analyzing cryptocurrency markets and making informed trading decisions. Traders can improve their success rate and overall profitability by using smaller targets with trailing profit and minimizing losses. Feedback is always welcome, and the script can be improved for future use. Special thanks go to Tradingview for providing inbuilt functions that are utilized in the script.
Stophunt WickAcknowledgement
This indicator is dedicated to my friend Alexandru who saved me from one of these liquidation raids which almost liquidated me.
Alexandru is one of the best scalpers out there and he always nails his entries at the tip of these wicks.
This inspired me to create this indicator.
What's a Liquidation Wick?
It's that fast stop-hunting wick that stophunts everyone by triggering their stop-loss and liquidation.
Liquidity is the lifeblood of stock market and liquidation is the process that moves price.
This indicator will identify when a liquidity pool is getting raided to trigger buy or sell stops, they are also know as stop-hunts.
How does it work?
When market consolidates in one direction, it builds up liquidity zones.
Market maker will break out of these consolidation phases by having dramatic price action to either pump or dump to raid these liquidity zones.
This is also called stop-hunts or liquidity raids. After that it will start reversing back to the opposite direction.
This is most noticeable by the length of the wick of a given candle in a very short amount of time and the total size of the candle.
This indicator highlights them accordingly.
Settings
Wick and Candle ratio works with default values but finetune will enhance user experience and usability.
Wick Ratio: Size of the wick compared to body of a candle.
Adjust this to higher ratio on smaller timeframe or smaller ratio on bigger timeframe to your trading style to spot a trend reversal.
Candle Ratio: The size of the candle, by default it is 0.75% of the current price.
For example, if BTC is at 20,000 then the size of the candle has to be minimum 150.
This can be fine tuned to bigger candle size on higher time frames or smaller for shorter timeframe depending on the trade type.
How to use it?
This indicator will identify when a liquidity pool is getting raided to trigger buy or sell stops, they are also know as stop-hunts. It can be used of its own for scalping but there are also a good few indicators which would most definitely help to confluence bigger timeframe trades.
Scalp
This indicator shows the most chaotic moments in price action; therefore it works best on smaller timeframes, ideally 3 or 5 minute candle.
- Wait for the market to start pumping or dumping.
- Current candle will change colour (Bullish/Bearish).
- Enter trade as soon as price starts to reverse back.
- Place the stop-loss outside of the current candle.
- Wait for the Liquidation Wick to appear as confirmation.
Price is very chaotic during a liquidity stop-hunt raid but there is a saying:
"In the midst of chaos, there is also opportunity" - Sun-Tzu
Since this is a very high risk, high reward strategy; it is advised to practice on paper trade first.
Practice until perfection and this indicator would be the perfect bread and butter scalp confirmation.
Fair Value Gap
FVG strategy is the most accurate in conjunction with this indicator.
Normally price would reverse after consuming fair value gaps but often it's difficult to know when and where.
This indicator would identify those crucial entry points for reverse course direction of the price action.
Support and Resistance
This indicator can also be used in conjunction with support and resistance lines.
Generally the stophunt will go deep below the support or spike much further up the resistance lines to liquidate positions.
Bollinger Bands
Bolling Bands strategy would be to wait until the price breaks out of the band.
Once the wick is formed, it would be an ideal entry point.
Script change
This is an open-source script and feel free to modify according to your need and to amplify your existing strategy.
Pip CrosshairsThis is a simple tool designed to help you visualize your stop loss and take profit levels before entering a trade. The tool plots two lines on the chart - a green dotted line for take profit and a red dotted line for stop loss (similar to the price line) - with a simulated default spread of one pip factored in. The indicator has the option to toggle between long and short positions.
Please note that the spread used in the tool is not based on your actual spread and should be adjusted accordingly. As, to the best of my knowledge Pine Script does not have the ability to automatically include spread in an indicator, so you will need to input your spread manually. (if you can please let me know cause that would be a game changer).
Overall, should help save you a bit of time by not having to manually measure stop loss and take profit levels for each trade.
Happy hunting :)
Diddly - Liquidity ZonesDiddly Liquidity Zones is an indicator to highlight where the liquidity exists in a market place.
What is Liquidity
Liquidity refers to the ability of an asset to be turned into cash. Cash is the more liquid form of any asset, whereas selling a house would take a little longer to liquidate and convert to cash.
Liquidity in financial markets is in essence based on the same principle and refers to how easily an asset can be bought and sold.
Liquidity in simple terms is the volume of participants who are willing to be involved in the market at any given time. Markets are based on auction theory, the more participants who want to buy at a certain price than sell, will dictate that the price goes up. As a result it is important to understand the role that volume has in financial markets, as volume will directly correlate to liquidity and supply and demand.
What does it mean?
Areas of abnormal liquidity and volume can lead to a price range where there is high supply and demand, which in turn can become a zone that forms a support and resistance level in the future. As we all know what happens in the past does not mean it will happen in the future, but what liquidity zones will tell us is that in the past a higher number of people were interested in doing business at those prices, which is critical information when making trading decisions.
Although markets are based on auction theory, sadly we don't have the advantage of a traditional auction, where we are all sitting in a room putting our hands in the air when we are interested in paying x price for a particular item. In this environment it is very clear to see how popular the item for sale is and whether it is possible to pick up a bargain.
Being able to identify liquidity areas on a chart, provides an insight into market sentiment at a given price range. Also we have to consider that typically most retail traders participate in very liquid markets, where you can get in and out of a position with relative ease.
There are obviously exceptions, extremely low float stocks, but on the whole with liquid assets it takes some big orders to move price, especially with currencies and high float stocks. Understanding these principles helps us as retail traders identify where the big money is seeing a bargain, if buying or overpriced if selling.
However you identify liquidity, I hope you agree that it is an extremely important element to be considering before taking a trade. The last thing any trader wants to be doing if they can help it, is selling where the market perceives price to be a bargain and buying when overpriced.
Just as a side note, high and low "Float Stocks" refers to the number of shares in general circulation for buying and selling.
What is Diddly Liquidity Zones
This liquidity zones indicator in simple terms will plot zones on the chart and make an assessment of whether this is predominately buying or selling liquidity. Price will frequently come back to test areas of liquidity before making any further continuation in a specific direction. This is why liquidity zones are often described as areas of support and resistance.
How does it Work
To identify these zones the indicator is looking at a number of pieces of information predominantly based on volume.
Volume
Rate of Change
Relative Strength
From these calculations the algorithm is then looking for the standard deviation away from the normal, to identify exceptions that then become the liquidity zones. These can be classified up to 4 levels, the first being the weakest exception to four being the strongest. By default 3 levels are displayed.
What is the Indicator Showing me?
The Liquidity Zones indicator comprises two basic elements: Bull Zones and Bear Zones.
Zones that are not broken in the past are projected forward and can act as strong support and resistance levels that can also be used for targets or ignoring a trade due to lack of room above or below.
Here on AUDCHF 15 minute chart, during March 2023, it provides an example of the three indicator zone types. Details have been annotated on the chart.
The third type of zone is a “Trap Zone” which can be extremely powerful for identifying potential reversals. A Trap Zone can be either Trapped Buyers or Trapper Sellers. In essence it is a Zone that is identified, but price can never trade above or below in the direction of the zone.
As an example if a bear zone is identified and price fails to trade below the lower edge and bounces immediately out of the top. The trap is set and the indicator changes the zone from the default green (bull) or red (bear) zone to a different colour, which is orange by default.
As price moves higher away from the zone, those in their short positions start to feel the pain. The higher the move away before a retracement the higher the pain. When the retracement finally comes and price returns to the zone, you will often see price bounce off the zone for the move back to retest the highs, following the same principles of support and resistance.
In this example above a resistance level is broken, which has been identified by a volume exception identified by the indicator, when price returns to that area it now becomes support as those traders in short positions look to cover at breakeven.
Here on EURUSD 15 minute chart, during the last week in March 2023, it provides a great example of a "trap zone" setup. Details have been annotated on the chart.
Usage
This indicator will compliment any existing strategy or could be traded as part of a support and resistance trading strategy. One of the great advantages of support and resistance is that levels and zones are identified ahead of time, so trades can be planned and considered well in advance.
There is also the advantage of where to stop out, once a support or resistance level is broken then we no longer want to be in that trade. We have to accept the facts that the market sentiment has changed and no longer sees price here as good value for bull zones or overpriced at bear zones.
You will sometimes see spikes of price through a zone, where the market has grabbed the liquidity in the form of stops on the other-side, which can be extremely frustrating as a trader, but important to understand that it does happen and why it is happening.
You will find liquidity zones on all charts, from the daily to the 1 second chart. The higher the timeframe, the wider the zones are. As a result we would not recommend planning an entry purely on a daily zone, but it is extremely useful information when drilling into the lower time frame charts. So using multiple timeframe analysis is a really useful technique when looking to understand a market.
There are a number of elements to consider before taking entries around support and resistance levels. The most important thing to remember is these levels have to break at some point, otherwise price would never go anywhere. Understanding that these levels can fail is important and is the reason we should always have clearly defined stops and manage risk.
You may also want to consider higher timeframe trend analysis to try and ensure you are trading with the trend. First and second retests work better as these zones will weaken over multiple retests as traders give up on that area, as it no longer is giving the reactions of price that it used to.
The easiest entry method when working with support and resistance levels, is to place limit orders in the market. This is not a recommended approach, although it can be useful for traders who can't sit in front of charts all day. By taking this approach you would want to ensure that you are trading with the predominant trend on a higher timeframe and are in effect using these levels on a lower timeframe as pullback entries. You would also want to ensure that you have a wide enough stop to ensure that any spikes through don't stop out the trade, so using an Average True Range multiplier can be very helpful. The key point is don't oversize and manage risk.
A better approach to identifying entries would be to look at price action on a lower time frame chart, once price has arrived at the level.
A more conservative approach would be to wait for price to close outside the zone in the direction you want to trade on the signal chart and look for an entry on the retest of the top of the zone for buys or the bottom of the zone for the sells, with the stop the other-side of the zone.
For the purpose of examples we will focus on the last two methods, although there are many sources of information on how to trade support and resistance levels, so please don't take the above as the only way to plan or take entries.
Multiple Timeframe Alignment
Here on a stock asset MSFT (Microsoft), we have a zoomed out 15 minute chart. The top left is August 2022 and the bottom right is November 2022, which is quite a sell-off and there were many opportunities to the short side, although many traders would have been looking to see when this stock was at a bargain price.
Here on the 7th November 2022, there were the first signs of a potential change in market sentiment, as the indicator identified a Bull Zone on the 15 minute chart. At this stage the stock has been beaten up for a long time and there is a Bear Zone, above price - so not much distance to get a decent risk reward trade as yet.
Then on the Thursday of the same week, price came back to test the high of this previously created Bull Zone, after being rejected from the Bear Zone above.
So drilling into the 1 minute chart to find good risk : reward entries, price at the opening bell explodes through Bear Zones in the above chart and prints a big 1 minute Bull Zone. This on its own would be hard to trade, is it a fake out? price must surely retrace before a move higher, also there is a trapped buyers zone above price, so there will be a lot of liquidity and sell orders at that level.
Here again on the 1 minute chart, we see the breakout of the orange zone with a new Bull Zone (which is coloured blue, being a 2nd level zone) . Now we just want to see this zone being confirmed by breaking the top and then we would look for entries on the retest.
Price action is now ready for taking a buy entry for a short-term swing trade as illustrated on the next chart.
About a month later the price hit the target, as shown on the 4 hour chart.
The target was set on the 15 min chart, being the next substantial level of a bear zone. Also on the 1 hour chart above, a big green bull zone of liquidity was identified, so there's a fair chance that price will come back to retest liquidity before a greater move away. The trade planner has been removed from this chart, so it is easier to see the printed zones, but the entry was at the 238.00
You will see since January 2023 there have been many opportunities on this stock using the 15 minute chart to find zones to trades and manage risk. The one thing that is clear in this chart is where the market sentiment was on this stock as it made the run-up to current price.
Alerting
Utilising the power of TradingView Alerts enables you to monitor many pairs, when you are away from your charts. You can set up alert for the indicator, by right-clicking on a zone that you see on a chart and choose the first option that appears on the menu "Add Alert to Diddly Zones". You can also perform the same operation from the indicator tile that appears in the top left corner of the chart.
Within setting you can choose to be alerted under the following conditions:
When New Bull Zone has been Identified
When New Bear Zone has been Identified
When Price approaches a Bear Zone from below. Notifying traders that we are approaching a resistance level
When Price approaches a Bull Zone from above. Notifying traders that we are approaching a support level
When Price is Trading inside a Zone at a certain configurable time.
On the last point above: This is useful on a slightly higher timeframe, where large zones exist and you may want to be notified if this asset is trading in a zone at say the London open. You would have already been sent an alert telling you price was arriving at the zone, but that could have been a couple of days ago.
Key Settings
Within the indicator settings there are a number of options that are available to users. From changing the colours and their transparency of different zone types, to the number of exception levels that you want to see on the chart.
The most important ones that are in need of explanation are outline below:
To simplify the settings, the indicator is configured by using a similar analogy to driving style. The reason this is needed is because different assets and asset classes have different levels of liquidity, as a result the indicator requires some basic information to provide the best results. The principle being the faster you drive the more zones you will encounter.
To continue with the analogy, it is important not to drive too fast on a particular asset otherwise all you will see is zones and nowhere for price to go. If this is the case, slow the setting down or go to a higher time frame for a broader perspective.
Settings
"Determine Algo Driving Style" : Available options = "Slow", "Steady", "Sports", "Racing", "Rocket" (Default Setting = Sports)
So this is setting the speed of the indicator
"Turn on Turbo Mode" : True or False (Default Settings = True)
This setting will give the indicator a boost
"What type of asset is the Algo looking at" : Available Options = "Small Caps", "Large Caps", "Futures", "Currencies" (Default Setting = Currencies)
The only difference in these settings currently is a magnification element that is applied to the calculations, which is particularly relevant for highly liquid assets like currencies, futures and large cap stock. The only option that by default does not use the magnification element is Small Cap low float stocks, where liquidity is lower this setting is not required. This magnification can be change later in the settings under "Zone Identification Calculation Models"
Finally
We greatly appreciate the support and feedback from the Trading View community, and we are dedicated to continuing to improve our indicators with your support.
We want to help you manage risk, and that's why we emphasise that trading is risky and any technology used to support our trading decisions is based on information from the past. We encourage traders to take responsibility for their trading businesses and always prioritise risk management.
Three-Day Rolling PivotThe three-day rolling pivot is another pivot concept,
which may be used by intermediate positions, for several days or even weeks.
It can be utilized in many ways, such as to determine an entry point or trailing stop.
As the name suggests, this pivot is based on the last three days.
I learned this concept of the book "The logical Trader" by Mark Fisher.
Kudos go to him!
My version of the Three-Day Rolling Pivot uses actual data!
And all similar scripts I have found so far calculate future data and don't take into account the original data.
I hope this script will help some people to do some better decisions.
And I am pleased to get some advice to make this script even better!
Future data vs original data
Pine Script v5 Reference Manual:
Merge strategy for the requested data position... This merge strategy can lead to undesirable effect of getting data from "future" on calculation on history. This is unacceptable in backtesting strategies, but can be useful in indicators.
e2e4 on Stack Overflow said:
Pine v1-v2's security() function is using the lookahead parameter by default, which could be modified in v3-v5...
stackoverflow.com
I haven't found a script which put this into account jet.
I leave this option available for people that wanna more speculated data. But it's disabled by default.
Long/Short Example
You can enter Long when the market cross over the upper line (default color is green) and you should put your trailing stop 1-5 ticks below the lower line (default color is red).
The opposite when Shorting, then the market has to cross down the lower line and your trailing stop should be 1-5 ticks above the upper line.
How does this script work:
First it fetches the highest high of ...
yesterday,
the day before yesterday,
and the day before that.
After that the script looks for the highest high of all three.
Next it does the same for previous lowest low.
Last but not least, it fetches the closing price of the last day.
After that it adds all three prices together and divide them by three.
This result in a three day pivot price.
Then it adds the highest high and lowest low of the three last days and divide it by two.
This gives us the second number we need to calculate the differential.
The differential is the gap between the three day pivot price and the second number.
Sometimes the second number is bigger than the three day pivot price so I took that into account too. Other wise the colors plotted would be on the wrong site.
Finally, the script is rounding the numbers to the nearest minimum tick of that security.
Commission-aware Trade LabelsCommission-aware Trade Labels
Description:
This library provides an easy way to visualize take-profit and stop-loss levels on your chart, taking into account trading commissions. The library calculates and displays the net profit or loss, along with other useful information such as risk/reward ratio, shares, and position size.
Features:
Configurable take-profit and stop-loss prices or percentages.
Set entry amount or shares.
Calculates and displays the risk/reward ratio.
Shows net profit or loss, considering trading commissions.
Customizable label appearance.
Usage:
Add the script to your chart.
Create an Order object for take-profit and stop-loss with desired configurations.
Call target_label() and stop_label() methods for each order object.
Example:
target_order = Order.new(take_profit_price=27483, stop_loss_price=28000, shares=0.2)
stop_order = Order.new(stop_loss_price=29000, shares=1)
target_order.target_label()
stop_order.stop_label()
This script is a powerful tool for visualizing your trading strategy's performance and helps you make better-informed decisions by considering trading commissions in your profit and loss calculations.
Library "tradelabels"
entry_price(this)
Parameters:
this : Order object
@return entry_price
take_profit_price(this)
Parameters:
this : Order object
@return take_profit_price
stop_loss_price(this)
Parameters:
this : Order object
@return stop_loss_price
is_long(this)
Parameters:
this : Order object
@return entry_price
is_short(this)
Parameters:
this : Order object
@return entry_price
percent_to_target(this, target)
Parameters:
this : Order object
target : Target price
@return percent
risk_reward(this)
Parameters:
this : Order object
@return risk_reward_ratio
shares(this)
Parameters:
this : Order object
@return shares
position_size(this)
Parameters:
this : Order object
@return position_size
commission_cost(this, target_price)
Parameters:
this : Order object
@return commission_cost
target_price
net_result(this, target_price)
Parameters:
this : Order object
target_price : The target price to calculate net result for (either take_profit_price or stop_loss_price)
@return net_result
create_take_profit_label(this, prefix, size, offset_x, bg_color, text_color)
Parameters:
this
prefix
size
offset_x
bg_color
text_color
create_stop_loss_label(this, prefix, size, offset_x, bg_color, text_color)
Parameters:
this
prefix
size
offset_x
bg_color
text_color
create_entry_label(this, prefix, size, offset_x, bg_color, text_color)
Parameters:
this
prefix
size
offset_x
bg_color
text_color
create_line(this, target_price, line_color, offset_x, line_style, line_width, draw_entry_line)
Parameters:
this
target_price
line_color
offset_x
line_style
line_width
draw_entry_line
Order
Order
Fields:
entry_price : Entry price
stop_loss_price : Stop loss price
stop_loss_percent : Stop loss percent, default 2%
take_profit_price : Take profit price
take_profit_percent : Take profit percent, default 6%
entry_amount : Entry amount, default 5000$
shares : Shares
commission : Commission, default 0.04%
Inter-Exchanges Crypto Price Spread Clouds (Tartigradia)Display variations in min-max and median values of high, low and close across exchanges. It's a kind of realized volatility indicator, as the idea is that in times of high volatility (high emotions, fear, uncertainty), it's more likely that market inefficiencies will appear for the same asset between different market makers, ie, the price can temporarily differ a lot. This indicator will catch these instants of high differences between exchanges, even if they lasted only an instant (because we use high and low values).
Compared with my other "Inter-Exchanges Crypto Price Spread Deviation" indicator, this one overlays directly on the chart, and offers a different take based on the same premisses. Instead of summarizing volatility via standard deviation, here we display clouds of the range of values that were observed.
A big advantage of this approach is that it can also be used to determine safe stop loss levels, especially the values of percentile rank (i.e., what are the high values that were observed in at least 50% of exchanges?).
Indeed, all price levels are displayed in the indicator's status bar:
green for high values,
red for low values,
aqua for median,
purple for average,
The first two values are max and min values of high across exchanges (in green).
The next two values are max and min of low across exchanges (in red).
The next two values are median (aqua) and average (purple).
The last two values are percentile rank values for high (green) and low (red) respectively.
Another advantage is that the high (green) vs low (red) clouds can be seen as representing the buying or selling pressure respectively across exchanges, and this may in itself provide a signal to know whether one side is winning.
Link to my other complementary indicator:
Compared to other inter-exchanges spread indicators, this one offers two major features:
The symbol automatically adapts to the symbol currently selected in user's chart. Hence, switching between tickers does not require the user to modify any option, everything is dynamically updated behind the scenes.
It's easy to add more exchanges (requires some code editing because PineScript v5 does not allow dynamical request.security() calls).
Limitations/things to know:
History is limited to what the ticker itself display. Ie, even if the exchanges specified in this indicator have more data than the ticker currently displayed in the user's chart, the indicator will show only a timeperiod as long as the chart.
The indicator can manage multiple exchanges of different historical length (ie, some exchanges having more data going way earlier in the past than others), in which case they will simply be ignored from calculations when far back in the past. Hence, you should be aware that the further you go in the past, the less exchanges will have such data, and hence the less accurate the measures will be (because the deviation will be calculated from less sources than more recent bars). This is thanks to how the array.* math functions behave in case of na values, they simply skip them from calculations, contrary to math.* functions.
