PPN - Token compare to USDT/BTCThis simple indicator allows you to easily view the price of a selected cryptocurrency token in either USDT or BTC on TradingView charts. By adding this indicator to your chart, you can quickly compare the price of the token to either USDT (Tether) or BTC (Bitcoin).
**Features:**
- Choose between displaying the token price in USDT or BTC.
- Automatically detects the current trading pair and adjusts the display accordingly.
- Uses data from the BINANCE exchange to fetch real-time prices.
**How to Use:**
1. Add the indicator to your TradingView chart.
2. Select the desired ticker ending (USDT or BTC) in the indicator settings.
3. Pin the indicator to a new scale (More -> Pin to Scale -> New scale or no scale (fullscreen).
**Note:** This indicator is intended for informational purposes only and should not be used as the sole basis for making trading decisions. Always conduct your own research and consult with a financial advisor before making any investment decisions.
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Feel free to use and modify! <3
Message me on TradingView if you have any suggestions!
스크립트에서 "tradingview界面调整"에 대해 찾기
Pine Script Chart ViewerDisplay your custom charts exported from anywhere in TradingView.
Put your candles on candles :
var Candle candles = array.from(...)
For instance:
var Candle candles = array.from(Candle.new(2.0, 4.0, 1.0, 3.0), Candle.new(3.0, 5.0, 2.0, 4.0))
Candle details:
Candle.new(open_1, high_1, low_1, close_1)
BBSR Extreme Strategy [nachodog]The Bollinger Bands Stochastic RSI Extreme Strategy is a comprehensive trading approach designed for use on the TradingView platform, employing a combination of Bollinger Bands and the Stochastic RSI to identify potential entry and exit points in the market. This strategy is converted into Pine Script version 5 and is specifically tailored as a strategy rather than a mere study, allowing traders to simulate and backtest their trades within the TradingView environment.
Strategy Overview:
Bollinger Bands serve as the primary tool for volatility and price level analysis. By calculating the standard deviation of price movements around a simple moving average (SMA), this strategy identifies the upper and lower bounds of price fluctuations, helping traders spot potential reversal points.
Stochastic RSI is used to gauge the momentum by comparing the closing price's position relative to its price range over a certain period. This indicator helps in determining overbought or oversold conditions, providing insights into potential bullish or bearish momentum.
Entry Signals:
Bullish Entry: The strategy signals a long entry when the price moves from below to above the lower Bollinger Band, coupled with a Stochastic RSI indicating an exit from oversold conditions. This suggests an uptrend initiation, prompting a buy order.
Bearish Entry: Conversely, a short entry is signaled when the price drops from above to below the upper Bollinger Band while the Stochastic RSI moves from overbought territory. This condition indicates a potential downtrend, triggering a sell order.
Exit Criteria:
Stop Loss: A key feature of this strategy is the inclusion of a user-defined stop loss percentage, which helps manage risk by specifying the maximum allowable loss per trade.
Bearish Exit for Long Positions: Long positions are exited either when a bearish signal is detected or when the price crosses below the lower Bollinger Band, suggesting a reversal or weakening of the bullish trend.
Bullish Exit for Short Positions: Short positions are closed upon a bullish signal or when the price crosses above the upper Bollinger Band, indicating a potential reversal or diminishing bearish momentum.
Strategy Benefits:
The strategy provides a structured framework for entering and exiting trades, leveraging the strengths of both Bollinger Bands and Stochastic RSI.
It includes parameters for customization, such as the stop loss percentage, allowing traders to align the strategy with their risk tolerance and trading objectives.
The ability to backtest and simulate trades on TradingView enhances its utility, offering insights into the strategy's performance under historical market conditions.
Overall, the Bollinger Bands Stochastic RSI Extreme Strategy is designed for traders who seek to capitalize on trend reversals and momentum shifts, with built-in risk management features to safeguard against significant losses.
Twin Range Filter VisualizedVisulaized version of @colinmck's Twin Range Filter version on TradingView.
On @colinmck's Twin Range Filter version, you can only see Long and Short signals on the chart.
But in this version of TRF, users can visually see the BUY and SELL signals on the chart with an added line of TRF.
TRF is an average of two smoothed Exponential Moving Averages, fast one has 27 bars of length and the slow one has 55 bars.
The purpose is to obtain two ranges that price fluctuates between (upper and lower range) and have LONG AND SHORT SIGNALS when close price crosses above the upper range and conversely crosses below lower range.
I personally combine the upper and lower ranges on one line to see the long and short signals with my own eyes so,
-BUY when price is higher or equal to the upper range level and the indicator line turns to draw the lower range to follow the price just under the bars as a trailing stop loss indicator like SuperTrend.
-SELL when price is lower or equal to the lower range levelline under the bars and then the indicator line turns to draw the upper range to follow the price just over the bars in that same trailing stop loss logic.
There are also two coefficients that adjusts the trailing line distance levels from the price multiplying the effect of the faster and slower moving averages.
The default values of the multipliers:
Fast range multiplier of Fast Moving Average(27): 1.6
Slow range multiplier of fSlow Moving Average(55): 2
Remember that if you enlarge these multipliers you will enlarge the ranges and have less but lagging signals. Conversely, decreasing the multipliers will have small ranges (line will get closer to the price and more signals will occur)
WaveTrendnel Oscillator [UAlgo]🔶Description:
The WaveTrendnel Oscillator, is a technical analysis tool designed for traders to identify potential trend reversals and overbought/oversold conditions in the market. It combines the concepts of wave analysis and trend analysis to generate signals based on the current market conditions. This indicator aims to provide traders with insights into the strength and direction of the prevailing trend, facilitating better decision-making in trading strategies.
🔶Key Features:
Customizable Parameters: Users can customize various parameters including the source data, channel length, average length, and signal length according to their trading preferences and market conditions.
Signal Display: The indicator offers the option to display buy and sell signals on the chart, helping traders to visually identify potential entry and exit points.
Wave and Kernel Analysis: The WaveTrendnel Oscillator utilizes a rational quadratic kernel function, which applies a mathematical approach known as the kernel method. This method analyzes historical price data by assigning weights to each data point based on its proximity to the current period, providing a smoother and more accurate representation of market trends.
Overbought/Oversold Levels: Traders can define overbought and oversold levels using customizable threshold parameters, enabling them to identify potential reversal points in the market.
🔶Credit:
The WaveTrendnel Oscillator indicator is a modification of the original WaveTrend Oscillator developed by @LazyBear on TradingView.
🔶Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
ATR Bands with Optional Risk/Reward Colors█ OVERVIEW
This indicator projects ATR bands and, optionally, colors them based on a risk/reward advantage for those who trade breakouts/breakdowns using moving averages as partial or full exit points.
█ DEFINITIONS
► True Range
The True Range is a measure of the volatility of a financial asset and is defined as the maximum difference among one of the following values:
- The high of the current period minus the low of the current period.
- The absolute value of the high of the current period minus the closing price of the previous period.
- The absolute value of the low of the current period minus the closing price of the previous period.
► Average True Range
The Average True Range was developed by J. Welles Wilder Jr. and was introduced in his 1978 book titled "New Concepts in Technical Trading Systems". It is calculated as an average of the true range values over a certain number of periods (usually 14) and is commonly used to measure volatility and set stop-loss and profit targets (1).
For example, if you are looking at a daily chart and you want to calculate the 14-day ATR, you would take the True Range of the previous 14 days, calculate their average, and this would be the ATR for that day. The process is then repeated every day to obtain a series of ATR values over time.
The ATR can be smoothed using different methods, such as the Simple Moving Average (SMA), the Exponential Moving Average (EMA), or others, depending on the user's preferences or analysis needs.
► ATR Bands
The ATR bands are created by adding or subtracting the ATR from a reference point (usually the closing price). This process generates bands around the central point that expand and contract based on market volatility, allowing traders to assess dynamic support and resistance levels and to adapt their trading strategies to current market conditions.
█ INDICATOR
► ATR Bands
The indicator provides all the essential parameters for calculating the ATR: period length, time frame, smoothing method, and multiplier.
It is then possible to choose the reference point from which to create the bands. The most commonly used reference points are Open, High, Low, and Close, but you can also choose the commonly used candle averages: HL2, HLC3, HLCC4, OHLC4. Among these, there is also a less common "OC2", which represents the average of the candle body. Additionally, two parameters have been specifically created for this indicator: Open/Close and High/Low.
With the "Open/Close" parameter, the upper band is calculated from the higher value between Open and Close, while the lower one is calculated from the lower value between Open and Close. In the case of bullish candles, therefore, the Close value is taken as the starting point for the upper band and the Open value for the lower one; conversely, in bearish candles, the Open value is used for the upper band and the Close value for the lower band. This setting can be useful for precautionally generating broader bands when trading with candlesticks like hammers or inverted hammers.
The "High/Low" parameter calculates the upper band starting from the High and the lower band starting from the Low. Among all the available options, this one allows drawing the widest bands.
Other possible options to improve the drawing of ATR bands, aligning them with the price action, are:
• Doji Smoothing: When the current candle is a doji (having the same Open and Close price), the bands assume the values they had on the previous candle. This can be useful to avoid steep fluctuations of the bands themselves.
• Extend to High/Low: Extends the bands to the High or Low values when they exceed the value of the band.
• Round Last Cent: Expands the upper band by one cent if the price ends with x.x9, and the lower band if the price ends with x.x1. This function only works when the asset's tick is 0.01.
► Risk/Reward Advantage
The indicator optionally colors the ATR bands after setting a breakpoint, one or two risk/reward ratios, and a series of moving averages. This function allows you to know in advance whether entering a trade can provide an advantage over the risk. The band is colored when the ratio between the distance from the break point to the band and the distance from the break point to the first available moving average reaches at least the set ratio value. It is possible to set two colorings, one for a minimum risk/reward ratio and one for an optimal risk/reward ratio.
The break point can be chosen between High/Low (High in case of breakout, Low in case of breakdown) or Open/Close (on breakouts, Close with bullish candles or Open with bearish candles; on breakdowns, Close with bearish candles or Open with bullish candles).
It is possible to choose up to 10 moving averages of various types, including the VWAP with the Anchor Period (2).
Depending on the "Price to MA" setting, the bands can be individually or simultaneously colored.
By selecting "Single Direction," the risk/reward calculation is performed only when all moving averages are above or below the break point, resulting in only one band being colored at a time. For this reason, when the break point is in between the moving averages, the calculation is not executed. This setting can be useful for strategies involving price movement from a level towards a series of specific moving averages (for example, in reversals starting from a certain level towards the VWAP with possible partial take profits on some previous moving averages, or simply in trend following towards one or more moving averages).
Choosing "Both Directions" the risk/reward ratio is calculated based on the first available moving averages both above and below the price. This setting is useful for those who operate in range bound markets or simply take advantage of movements between moving averages.
█ NOTE
This script may not be suitable for scalping strategies that require immediate entries due to the inability to know the ATR of a candle in advance until its closure. Once the candle is closed, you should have time to place a stop or stop-limit order, so your strategy should not anticipate an immediate start with the next candle. Even more conveniently, if your strategy involves an entry on a pullback, you can place a limit order at the breakout level.
(1) www.tradingview.com
(2) For convenience, the code for the Anchor Period has been entirely copied from the VWAP code provided by TradingView.
Chess_Data_5This library supplies a randomized list of 1-Move Chess Puzzles, this is 5/5 in my collection of puzzles on Tradingview.
This library contains 730 chess puzzles, this is enough for 1 unique chess puzzle for 2 years (730/365 = 2)
The Puzzles are sourced from Lichess's open-source database found here -> | database.lichess.org
This data has been reduced to only included 1-Move chess puzzles with a popularity rating of > 70, and condensed for ease of formatting and less characters.
The reduced format of the data in this library reads:
"Puzzle Code, Modified FEN, Moves, Puzzle Rating, Popularity Rating"
Puzzle Code: Lichess Codes Identifying each puzzle, this allows them to be retrieved from their website based on this Code.
Modified FEN: Forsyth-Edwards Notation is the standard notation to describe positions of a chess game. This includes the active move tacked onto the end after the last '/', this simplifies the process to retrieve the active move in PineScript.
Moves: This holds the first move seen by the player in the puzzle (opposite color), and then the correct next move which is Puzzle Solution, that the player is trying to determine.
Puzzle Rating: Difficulty Rating of the Puzzle, Generally speaking | Under 1500 = Beginner | 1500 to 1800 Casual | 1800 to 2100 Intermediate | 2100+ Advanced
Popularity Ranking: This is the popularity ranking calculated by lichess based on their own data of user feedback.
Note: After Reducing the amount of data down to only 1-Move puzzles with a popularity rating of > 70%, there is still around 340k puzzles. (Enough for over 900 Years!)
> Functions [/b
get()
Returns the list of chess puzzle data.
Chess_Data_4This library supplies a randomized list of 1-Move Chess Puzzles, this is 4/5 in my collection of puzzles on Tradingview.
This library contains 730 chess puzzles, this is enough for 1 unique chess puzzle for 2 years (730/365 = 2)
The Puzzles are sourced from Lichess's open-source database found here -> | database.lichess.org
This data has been reduced to only included 1-Move chess puzzles with a popularity rating of > 70, and condensed for ease of formatting and less characters.
The reduced format of the data in this library reads:
"Puzzle Code, Modified FEN, Moves, Puzzle Rating, Popularity Rating"
Puzzle Code: Lichess Codes Identifying each puzzle, this allows them to be retrieved from their website based on this Code.
Modified FEN: Forsyth-Edwards Notation is the standard notation to describe positions of a chess game. This includes the active move tacked onto the end after the last '/', this simplifies the process to retrieve the active move in PineScript.
Moves: This holds the first move seen by the player in the puzzle (opposite color), and then the correct next move which is Puzzle Solution, that the player is trying to determine.
Puzzle Rating: Difficulty Rating of the Puzzle, Generally speaking | Under 1500 = Beginner | 1500 to 1800 Casual | 1800 to 2100 Intermediate | 2100+ Advanced
Popularity Ranking: This is the popularity ranking calculated by lichess based on their own data of user feedback.
Note: After Reducing the amount of data down to only 1-Move puzzles with a popularity rating of > 70%, there is still around 340k puzzles. (Enough for over 900 Years!)
> Functions [/b
get()
Returns the list of chess puzzle data.
Chess_Data_3This library supplies a randomized list of 1-Move Chess Puzzles, this is 3/5 in my collection of puzzles on Tradingview.
This library contains 730 chess puzzles, this is enough for 1 unique chess puzzle for 2 years (730/365 = 2)
The Puzzles are sourced from Lichess's open-source database found here -> | database.lichess.org
This data has been reduced to only included 1-Move chess puzzles with a popularity rating of > 70, and condensed for ease of formatting and less characters.
The reduced format of the data in this library reads:
"Puzzle Code, Modified FEN, Moves, Puzzle Rating, Popularity Rating"
Puzzle Code: Lichess Codes Identifying each puzzle, this allows them to be retrieved from their website based on this Code.
Modified FEN: Forsyth-Edwards Notation is the standard notation to describe positions of a chess game. This includes the active move tacked onto the end after the last '/', this simplifies the process to retrieve the active move in PineScript.
Moves: This holds the first move seen by the player in the puzzle (opposite color), and then the correct next move which is Puzzle Solution, that the player is trying to determine.
Puzzle Rating: Difficulty Rating of the Puzzle, Generally speaking | Under 1500 = Beginner | 1500 to 1800 Casual | 1800 to 2100 Intermediate | 2100+ Advanced
Popularity Ranking: This is the popularity ranking calculated by lichess based on their own data of user feedback.
Note: After Reducing the amount of data down to only 1-Move puzzles with a popularity rating of > 70%, there is still around 340k puzzles. (Enough for over 900 Years!)
> Functions [/b
get()
Returns the list of chess puzzle data.
Chess_Data_2This library supplies a randomized list of 1-Move Chess Puzzles, this is 2/5 in my collection of puzzles on Tradingview.
This library contains 730 chess puzzles, this is enough for 1 unique chess puzzle for 2 years (730/365 = 2)
The Puzzles are sourced from Lichess's open-source database found here -> | database.lichess.org
This data has been reduced to only included 1-Move chess puzzles with a popularity rating of > 70, and condensed for ease of formatting and less characters.
The reduced format of the data in this library reads:
"Puzzle Code, Modified FEN, Moves, Puzzle Rating, Popularity Rating"
Puzzle Code: Lichess Codes Identifying each puzzle, this allows them to be retrieved from their website based on this Code.
Modified FEN: Forsyth-Edwards Notation is the standard notation to describe positions of a chess game. This includes the active move tacked onto the end after the last '/', this simplifies the process to retrieve the active move in PineScript.
Moves: This holds the first move seen by the player in the puzzle (opposite color), and then the correct next move which is Puzzle Solution, that the player is trying to determine.
Puzzle Rating: Difficulty Rating of the Puzzle, Generally speaking | Under 1500 = Beginner | 1500 to 1800 Casual | 1800 to 2100 Intermediate | 2100+ Advanced
Popularity Ranking: This is the popularity ranking calculated by lichess based on their own data of user feedback.
Note: After Reducing the amount of data down to only 1-Move puzzles with a popularity rating of > 70%, there is still around 340k puzzles. (Enough for over 900 Years!)
> Functions [/b
get()
Returns the list of chess puzzle data.
Chess_Data_1This library supplies a randomized list of 1-Move Chess Puzzles, this is 1/5 in my collection of puzzles on Tradingview.
This library contains 730 chess puzzles, this is enough for 1 unique chess puzzle for 2 years (730/365 = 2)
The Puzzles are sourced from Lichess's open-source database found here -> | database.lichess.org
This data has been reduced to only included 1-Move chess puzzles with a popularity rating of > 70, and condensed for ease of formatting and less characters.
The reduced format of the data in this library reads:
"Puzzle Code, Modified FEN, Moves, Puzzle Rating, Popularity Rating"
Puzzle Code: Lichess Codes Identifying each puzzle, this allows them to be retrieved from their website based on this Code.
Modified FEN: Forsyth-Edwards Notation is the standard notation to describe positions of a chess game. This includes the active move tacked onto the end after the last '/', this simplifies the process to retrieve the active move in PineScript.
Moves: This holds the first move seen by the player in the puzzle (opposite color), and then the correct next move which is Puzzle Solution, that the player is trying to determine.
Puzzle Rating: Difficulty Rating of the Puzzle, Generally speaking | Under 1500 = Beginner | 1500 to 1800 Casual | 1800 to 2100 Intermediate | 2100+ Advanced
Popularity Ranking: This is the popularity ranking calculated by lichess based on their own data of user feedback.
Note: After Reducing the amount of data down to only 1-Move puzzles with a popularity rating of > 70%, there is still around 340k puzzles. (Enough for over 900 Years!)
> Functions [/b
get()
Returns the list of chess puzzle data.
MACD_TRIGGER_CROSS_TRIANGLEMACD Triangle Trigger Indicator by thebearfib
Overview
The MACD Cross Triangle Indicator is a powerful tool for traders who rely on the MACD's signal line crossovers to make informed trading decisions. This indicator enhances the traditional MACD by allowing users to customize triggers for bullish and bearish signals and by displaying these signals directly on the chart with visually distinctive labels.
Features
Customizable Color Scheme: Choose distinct colors for bullish and bearish signals to fit your chart's theme or your personal preference.
Flexible Trigger Conditions: Select from a variety of trigger conditions based on MACD and signal line behaviors over a specified number of bars back.
Visual Signal Indicators: Bullish and bearish signals are marked with upward and downward triangles, making it easy to spot potential entry or exit points.
Detailed Trigger Descriptions: A comprehensive table lists all available triggers and their descriptions, aiding in selection and understanding of each trigger's mechanism.
Configuration Options
Bullish and Bearish Colors: Customize the color of the labels for bullish (upward) and bearish (downward) signals.
Trend Lookback Period: Choose how far back (in bars) the indicator should look to determine the trend, affecting the calculation of certain triggers.
Trigger Selection for Bullish and Bearish Signals: Pick specific triggers for both bullish and bearish conditions from a list of 10 different criteria, ranging from MACD crossovers to historical comparisons of MACD, signal line, and histogram values.
Label Size and Font Settings: Adjust the size of the signal labels on the chart and the font size of the trigger descriptions table to ensure readability and fit with your chart layout.
Trigger Descriptions Table Position and Color: Customize the position and color of the trigger descriptions table to match your chart's aesthetic and layout preferences.
Trigger Mechanisms
Trigger 1 to 10: Each trigger corresponds to a specific condition involving the MACD line, signal line, and histogram. These include crossovers, directional changes compared to previous bars, and comparisons of current values to historical values.
Usage
1. Select Trigger Conditions: Choose the desired triggers for bullish and bearish signals based on your trading strategy.
2. Customize Visuals: Set your preferred colors for the bullish and bearish labels, adjust label and font sizes, and configure the trigger descriptions table.
3. Analyze Signals: Watch for the upward (bullish) and downward (bearish) triangles to identify potential trading opportunities based on MACD crossover signals.
Conclusion
The MACD Cross Triangle Indicator offers a customizable and visually intuitive way to leverage MACD crossover signals for trading. With its flexible settings and clear signal indicators, traders can tailor the indicator to fit their strategy and improve their decision-making process on TradingView.
[blackcat] L2 Twisted Pair IndicatorOn the grand stage of the financial market, every trader is looking for a partner who can lead them to dance the tango well. The "Twisted Pair" indicator is that partner who dances gracefully in the market fluctuations. It weaves the rhythm of the market with two lines, helping traders to find the rhythm in the market's dance floor.
Imagine when the market is as calm as water, the "Twisted Pair" is like two ribbons tightly intertwined. They almost overlap on the chart, as if whispering: "Now, let's enjoy these quiet dance steps." This is the market consolidation period, the price fluctuation is not significant, traders can relax and slowly savor every detail of the market.
Now, let's describe the market logic of this code in natural language:
- **HJ_1**: This is the foundation of the market dance steps, by calculating the average price and trading volume, setting the tone for the market rhythm.
- **HJ_2** and **HJ_3**: These two lines are the arms of the dance partner, they help traders identify the long-term trend of the market through smoothing.
- **HJ_4**: This is a magnifying glass for market sentiment, it reveals the tension and excitement of the market by calculating the short-term deviation of the price.
- **A7** and **A9**: These two lines are the guide to the dance steps, they separate when the market volatility increases, guiding the traders in the right direction.
- **WATCH**: This is the signal light of the dance, when the two lines overlap, the market is calm; when they separate, the market is active.
The "Twisted Pair" indicator is like a carefully choreographed dance, it allows traders to find their own rhythm in the market dance floor, whether in a calm slow dance or a passionate tango. Remember, the market is always changing, and the "Twisted Pair" is the perfect dance partner that can lead you to dance out brilliant steps.
The script of this "Twisted Pair" uses three different types of moving averages: EMA (Exponential Moving Average), DEMA (Double EMA), and TEMA (Triple EMA). These types can be selected by the user through exchange input.
Here are the main functions of this code:
1. Defined the DEMA and TEMA functions: These two functions are used to calculate the corresponding moving averages. EMA is the exponential moving average, which is a special type of moving average that gives more weight to recent data. In the first paragraph, ema1 is the EMA of "length", and ema2 is the EMA of ema1. DEMA is 2 times of ema1 minus ema2.
2. Let users choose to use EMA, DEMA or TEMA: This part of the code provides an option for users to choose which type of moving average they want to use.
3. Defined an algorithm called "Twisted Pair algorithm": This part of the code defines a complex algorithm to calculate a value called "HJ". This algorithm involves various complex calculations and applications of EMA, DEMA, TEMA.
4. Plotting charts: The following code is used to plot charts on Tradingview. It uses the plot function to draw lines, the plotcandle function to draw candle (K-line) charts, and yellow and red to represent different conditions.
5. Specify colors: The last two lines of code use yellow and red K-line charts to represent the conditions of HJ_7. If the conditions of HJ_7 are met, the color of the K-line chart will change to the corresponding color.
RSI MFI WPR Combo [The_lurker]The "RSI MFI WPR Combo" is a sophisticated trading indicator developed for the TradingView platform, which synergistically combines the insights of three renowned technical analysis tools: the Relative Strength Index (RSI), the Money Flow Index (MFI), and the Williams Percent Range (WPR). This indicator is meticulously designed to assist traders in identifying potential buying and selling opportunities through the nuanced interpretation of market momentum, volume, and price position relative to recent highs and lows.
Purpose
The primary objective of the "RSI MFI WPR Combo" indicator is to offer a comprehensive tool that leverages the combined power of RSI, MFI, and WPR to detect overbought and oversold conditions, signaling potential reversal points in the market. This multifaceted approach aims to provide traders with a more robust framework for making informed decisions, enhancing their trading strategy with a multi-indicator analysis.
Indicator Conditions Explained
The core of this indicator lies in its strategic conditions that signal potential entry and exit points:
Oversold Condition (condition): This is identified when the MFI and RSI are both below 30, and the WPR falls below -91, suggesting a strong oversold market state. Such a scenario typically indicates a buying opportunity, assuming the market might rebound from this excessively sold condition.
Divergence Condition (condition1): It checks if the MFI exceeds 1.93 times the RSI. This unique condition aims to spotlight instances where there's a significant influx of money into an asset, which is not proportionately reflected in its RSI, potentially signaling an upcoming price increase or highlighting an unusual market situation for further analysis.
Overbought Warning (conditionExit): The exit signal is triggered when both the MFI and RSI exceed 85, and the WPR is above -15. This combination is indicative of an overbought market condition, suggesting the asset might be overvalued and a price correction or reversal could be imminent, hence signaling a potential selling opportunity or a caution against initiating new positions.
Application and Visualization
The "RSI MFI WPR Combo" not only provides numerical insights but also visualizes these conditions on the TradingView chart. By employing color-coding and plotting shapes, it offers traders an intuitive way to discern market states, enabling quick and effective decision-making. The integration of alert conditions ensures that traders are promptly notified of significant market events, aligning with their strategic trading objectives.
Plotting and Alerts in "RSI MFI WPR Combo"
Combined Alert Condition
The combinedAlertCondition is a logical statement that consolidates all individual conditions (condition, condition1, conditionExit, and The_lurkerMFI_oversold) into a single alert trigger. This condition becomes true and triggers an alert if any of the specified conditions for potential trading opportunities or warnings are met. It's designed to provide a comprehensive alert system that notifies the trader of any significant signal identified by the indicator, encompassing both entry and exit signals as well as oversold conditions.
Visual Indicators
Background Color for Oversold Condition: The script sets the background color to a specific shade of blue (#13c2e9 with 90% transparency) when the custom MFI indicates an oversold condition (The_lurkerMFI_oversold). This visual cue helps traders quickly identify periods when the market might be undervalued and potentially poised for a rebound.
Plotting Warning and Exit Signals:
Entry Signals: For the condition and condition1, which identify potential entry points, the indicator plots upward-pointing triangles below the price bars. These triangles are colored in specific shades to differentiate between the signals from the basic oversold condition and the divergence condition, making it visually intuitive for traders to recognize the signal type.
Exit Signals: For the conditionExit, signaling overbought conditions that might suggest an imminent price correction, downward-pointing red triangles are plotted above the price bars. This acts as a clear visual warning to consider exiting positions or to proceed with caution.
Alert Configuration
The script utilizes the alertcondition function to create an alert based on the combinedAlertCondition. When this condition is met, indicating any of the predefined signa
Conclusion
In summary, the "RSI MFI WPR Combo" stands out as a versatile and dynamic indicator that enriches a trader's toolkit by combining the analytical strengths of RSI, MFI, and WPR. By delineating clear conditions for market entry and exit points, it facilitates a proactive approach to trading, grounded in a detailed examination of market dynamics. This indicator exemplifies how blending multiple technical tools can lead to a more informed and nuanced market analysis, aiming to elevate the trading experience on the TradingView platform
Algoflow's Levels PlotterAlgoflow's Levels Plotter - Indicator
Release Date: Jan. 15, 2024
Release version: v3 r1
Release notes date: Jan. 15, 2024
Overview
Parses user's input of levels to be plotted and labeled on the chart for NQ & ES futures
Features
Quick plotting of predetermined price levels.
- Type or copy from another source of values in a predetermined output format.
Supports separate line plotting for Weekly, OVN and RTH values
- Plot only Weekly, OVN or RTH levels, or all
- Configure colors separately for Inflection Points, Weekly, OVN & RTH levels
- Shift/place price labels separately to easily identify levels
User Impacts of Changes
Requires users to remove previous version and re-add indicator "Algoflow's Levels Plotter", then re-add values. Colors and shift values will need to be re-entered and/or reconfigured
Support
Questions, feedbacks, and requests are welcomed. Please feel free to use Comments or direct private message via TradingView.
Quick usage notes:
The indicator allows you to enter data for both ES & NQ at the same time. This is useful in single chart window/layout situations, like viewing on the phone. When you switch between futures, the data is already there.
If you leave the entries blank, nothing will be plotted. This is useful if you want to have separate charts for ES & NQ. So you can just enter only the relevant data of either.
As an indicator, input values are saved within it, until it is removed from the chart. Input for one chart will not update other charts of the same ticker, even in the same layout.
The easiest and quickest way to share the inputs across all charts and layouts is to use the Indicator Templates feature.
- After input values are entered (for both ES & NQ futures) via the indicator's Settings, select ""Save as Default"".
- Click on ""Indicator Templates"" (4 squares icon), and click on ""Save Indicator template...""
- Remove the previous version of the indicator in other charts.
- Click on ""Indicator Templates"" icon, and select the newly created template. Repeat this for other charts of the same futures ticker
The labels can be disabled in settings > Style tab. Use the Inputs tab to configure orientation (left or right of current bar on chart), and how much spacing from the current (in distance of bars)
Format example:
Primary directional inflection point: 1234
For Bulls: 1244.25, 1254, 1264.50
For Bears: 1224, 1214, 1204
Changes
v3 r1 - Fixed erroneous default values in Weekly input sections. Added options to en/disable display of each set (session) of levels. Default label text size to normal, from small.
- Jan 15, 2024
v2 r9 - Added support for USTEC & US500.
- Dec. 10, 2023
v2 r8 - Added configuration features for users to modify the labels' text colors and size. Simplified code further by moving inputs processing modules into a single user function.
- Oct. 31, 2023
v2 r7 - Added support for the micro NQ & ES. Modified to ignore string case in inputs
- Oct 18, 2023
v2 r4 - Added support of weekly lines and labels features. Began the process of optimizing/simplifying code
- Oct. 15, 2023
v2 r3 - Made Inflection Point levels' colors configurable
- Oct. 04, 2023
v2 r2 - Removed comments & debug codes from development build revision #518
- Oct. 04, 2023
v2 r1 - Released from development revision #518. Major rewrite to fix previous and overlapping plots of lines and labels.
- Oct. 04, 2023
v1 r2 - First release of indicator
- Oct. 02, 2023
CARNAC Elasticity IndicatorThe CARNAC Elasticity Indicator (EI) is a technical analysis tool designed for traders and investors using TradingView. It calculates the percentage deviation of the current price from an Exponential Moving Average (EMA) and helps traders identify potential overbought and oversold conditions in a financial instrument.
Key Features:
EMA Length: Users can customize the length of the Exponential Moving Average (EMA) used in the calculations by adjusting the "EMA Length" parameter in the indicator settings.
Percentage Deviation: The indicator calculates the percentage deviation of the current price from the EMA. Positive values indicate prices above the EMA, while negative values indicate prices below the EMA.
Maximum Deviations: The indicator tracks the maximum positive (above EMA) and negative (below EMA) percentage deviations over time, allowing traders to monitor extreme price movements.
Bands: Upper and lower bands are displayed on the indicator chart at 100 and -100, respectively. Additionally, dashed middle bands at 50 and -50 provide reference points for moderate deviations.
Dynamic Color Coding: The indicator uses dynamic color coding to highlight the current percentage deviation. It turns red for values above 50 (indicating potential overbought conditions), green for values below -50 (indicating potential oversold conditions), and purple for values in between.
How to Use:
Overbought Conditions: Watch for the percentage deviation to cross above 50, indicating potential overbought conditions. This might be a signal to consider selling or taking profits.
Oversold Conditions: Look for the percentage deviation to cross below -50, signaling potential oversold conditions. This could be an opportunity to consider buying or entering a long position.
Historical Extremes: Keep an eye on the upper and lower bands (100 and -100) to identify historical extremes in percentage deviation.
The CARNAC Elasticity Indicator can be a valuable tool for traders seeking to identify potential trend reversals and assess the strength of price movements. However, it should be used in conjunction with other technical analysis tools and risk management strategies for comprehensive trading decisions.
Price PressureDescription:
The Price Pressure Indicator, developed by OmegaTools, is a robust and versatile tool designed to assist traders in analyzing market dynamics and identifying potential trend shifts. This open-source script, offers a unique approach to understanding price pressure over specified periods, enhancing the user's ability to make informed trading decisions.
Key Features:
1. Dynamic Length Configuration: The indicator allows users to customize the length parameter, ranging from 9 to 100, providing flexibility in adapting to different market conditions.
2. Extensions Control: Traders can fine-tune the extension levels (ob) between 50 and 90, allowing for precise adjustments based on their risk tolerance and trading preferences.
3. Normalization and Oscillation: The script employs a normalization function to standardize price data, offering a clearer representation of market pressure. The resulting oscillator visualizes the normalized pressure, highlighting potential market trends.
4. Pressure Calculation: The indicator calculates price pressure by considering the difference between the previous high and the current close, as well as the difference between the current close and the previous low. This innovative approach enhances the accuracy of pressure analysis.
5. Smoothing Option: While the script currently uses a simple moving average for smoothing, traders have the option to explore other smoothing methods by uncommenting the "smt" input line.
6. Visual Clarity: The indicator provides a visually intuitive representation of pressure and signal lines, aiding traders in quickly interpreting market conditions. The color-coded display enhances user experience, with the ability to discern bullish and bearish pressures.
7. Premium and Discount Zones: The script identifies premium and discount areas, assisting traders in spotting potential buying or selling opportunities. The premium and discount lines can be adjusted based on individual risk tolerance and strategy.
How to Use:
1. Adjust the length and extension parameters based on your trading preferences.
2. Interpret the oscillator and signal lines for insights into market pressure.
3. Utilize premium and discount zones to identify potential entry or exit points.
4. Experiment with different smoothing options for a customized analysis.
Concepts and Methodology:
The Price Pressure Indicator utilizes a normalization function and oscillation to quantify market pressure. By calculating the difference between highs and lows, the script provides a nuanced understanding of current market conditions. The smoothing option further refines the analysis, offering traders a comprehensive tool for trend identification.
Explore, experiment, and leverage the power of the Price Pressure Indicator to enhance your trading strategy on TradingView.
No Wick Bull/Bear Candlesticks with Arrow premiumNo Wick Bull/Bear Candlesticks with Arrow premium
This script is for a custom trading indicator called "No Wick Bull/Bear Candlesticks with Arrow premium" developed by ClearTradingMind. It is designed for use with trading platforms that support scripting, such as TradingView. This indicator combines several technical analysis tools to help traders identify potential buy and sell signals in a financial market.
Key Components of the Indicator:
Moving Average (MA): The script allows users to select from various types of moving averages (SMA, EMA, HMA, etc.), which smooth out price data to identify trends. Users can set the length and type of the moving average.
Upper and Lower Bands: These bands are set at a specified deviation percentage above and below the chosen moving average. They help in identifying overbought and oversold conditions.
No Wick Bull/Bear Candlestick Identification:
Bullish Condition: A bullish candlestick is identified when the closing price is higher than the opening price, the low equals the open, and the close is above the moving average.
Bearish Condition: A bearish candlestick is identified when the closing price is lower than the opening price, the high equals the open, and the close is below the moving average.
No Wick: These conditions also imply that the candlesticks have no wicks, suggesting strong buying or selling pressure.
Arrows for Trading Signals:
No lower wick bull bar
No upper wick bear bar
When a bullish condition is met, a green upward-pointing triangle is plotted below the candlestick, indicating a potential buy signal.
When a bearish condition is met, a red downward-pointing triangle is plotted above the candlestick, indicating a potential sell signal.
EMA 20: An additional Exponential Moving Average with a length of 20 periods is plotted for further trend analysis.
Background Color Changes: The script changes the background color to blue if the EMA 20 is above the upper band, and to red if it is below the lower band, providing visual cues about the market trend.
How It Works:
Traders can input their preferences for the moving average type and length, source of the MA (like closing prices), and the deviation percentage for the bands.
The script then calculates the moving average, upper and lower bands, and checks for bullish or bearish candlestick conditions without wicks.
When such conditions are met, it plots arrows to suggest buy or sell signals.
The EMA 20 and background color changes offer additional trend information.
Usage:
This indicator is particularly useful in markets with clear trends. The no wick bull/bear candlesticks indicate strong buying or selling pressure, and the arrows provide clear visual signals for traders to consider entering or exiting positions. As with all trading indicators, it's recommended to use this tool in conjunction with other forms of analysis to confirm trading signals.
Trend Direction Sequence | Auto-Multi-TimeframeThe main benefit of this indicator is the ability to see multiple higher timeframes at ones to get a better overview of signals that could mark possible trend reversals with more weight than those on the selected timeframe. Since the higher timeframes are calculated automatically, the user needs to set a Period Multiplier that multiplies the selected timeframe several times to determine the higher timeframes. Equal periods are filtered out. And the current highest timeframe is capped at 1 year by TradingView.
It is possible to alter the sequence Count Limit and the underlying Wavelength. The Wavelength defines the distance between the starting and ending candle. This builds the minimum condition to find a trend. A longer Wavelength means that the distortions between the start and end candle can be bigger, so it can become easier to find a trending sequence. But be careful not to set the length too high as this could mean that the resulting sequence does not really represent a trend anymore. The Count Limit defines the completion of a trending sequence. A higher number makes it more difficult to find a completed sequence, but also makes the result more reliable. If the Wavelength is changed, the Count Limit should be adjusted accordingly.
There is also a qualifier for the completion of a sequence. A completed sequence only will be labeled on the chart, if it is proved that the lowest low/highest high of the last two candlesticks of a period is lower/higher than that of the previous two candlesticks. It does not require the trend to be continuous on the last candlestick. On the contrary, a trend shift may already have begun.
By default, the labeling of completed sequences will appear on the highs and lows of the specific periods. Because the higher periods will take time and several candlesticks to appear, the labels will be redrawn accordingly. As an option it is possible to disable the Count Limit for completed sequences so that the labels will be fluently redrawn until the corresponding sequences are interrupted by trend breaks. Only activate this option, if it can serve a plausible strategy.
The count status of all sequences in the specific timeframe periods is listed in a table. Also the results of the trends in higher timeframes are accumulated and combined into an overall trend. Positive trends are counted as positive, negative in the opposite case. To see the resulting Trend Shift Signals, the user can set a filter under 100% so that not all of them will be filtered out and therefore labeled on the chart (this signals cannot be redrawn). An “External Indicator Analysis Overlay” can be used to analyze the profitability with the provided Trend Shift Signal (TSS) which switches from 0 to 1, if the trend becomes positive or from 0 to -1, if the trend becomes negative.
Price Cross Time Custom Range Interactive█ OVERVIEW
This indicator was a time-based indicator and intended as educational purpose only based on pine script v5 functions for ta.cross() , ta.crossover() and ta.crossunder() .
I realised that there is some overlap price with the cross functions, hence I integrate them into Custom Range Interactive with value variance and overlap displayed into table.
This was my submission for Pinefest #1 , I decided to share this as public, I may accidentally delete this as long as i keep as private.
█ INSPIRATION
Inspired by design, code and usage of CAGR. Basic usage of custom range / interactive, pretty much explained here . Credits to TradingView.
█ FEATURES
1. Custom Range Interactive
2. Label can be resize and change color.
3. Label show tooltip for price and time.
4. Label can be offset to improve readability.
5. Table can show price variance when any cross is true.
6. Table can show overlap if found crosss is overlap either with crossover and crossunder.
7. Table text color automatically change based on chart background (light / dark mode).
8. Source 2 is drawn as straight line, while Source 1 will draw as label either above line for crossover, below line for crossunder and marked 'X' if crossing with Source 2's line.
9. Cross 'X' label can be offset to improve readability.
10. Both Source 1 and Source 2 can select Open, Close, High and Low, which can be displayed into table.
█ LIMITATIONS
1. Table is limited to intraday timeframe only as time format is not accurate for daily timeframe and above. Example daily timeframe will give result less 1 day from actual date.
2. I did not include other sources such external source or any built in sources such as hl2, hlc3, ohlc4 and hlcc4.
█ CODE EXPLAINATION
I pretty much create custom function with method which returns tuple value.
method crossVariant(float price = na, chart.point ref = na) =>
cross = ta.cross( price, ref.price)
over = ta.crossover( price, ref.price)
under = ta.crossunder(price, ref.price)
Unfortunately, I unable make the labels into array which i plan to return string value by getting the text value from array label, hence i use label.all and add incremental int value as reference.
series label labelCross = na, labelCross.delete()
var int num = 0
if over
num += 1
labelCross := label.new()
if under
num += 1
labelCross := label.new()
if cross
num += 1
labelCross := label.new()
I realised cross value can be overlap with crossover and crossunder, hence I add bool to enable force overlap and add additional bools.
series label labelCross = na, labelCross.delete()
var int num = 0
if forceOverlap
if over
num += 1
labelCross := label.new()
if under
num += 1
labelCross := label.new()
if cross
num += 1
labelCross := label.new()
else
if cross and over
num += 1
labelCross := label.new()
if cross and under
num += 1
labelCross := label.new()
if cross and not over and not under
num += 1
labelCross := label.new()
█ USAGE / EXAMPLES
Price-Action Candles (Lower)What is a swing high or swing low?
Swing highs and lows are price extremes. For example say we set our swing length to 5. A candle that is a swing high with a swing length of 5 will have 5 bars to the left that are lower and 5 bars to the right that are lower. A candle that is a swing low with a swing length of 5 will have 5 bars to the left that are higher and 5 bars to the right that are higher.
How is the trend coloring calculated?
The trend coloring is calculated the exact same way as our trend candles study... by storing and comparing historical swing lows and swing highs.
The pinescript code goes as follows:
The pinescript code goes as follows:
var int trend = na
trend := ((hh and high >= psh) or close > csh) ? 1 : ((ll and low <= psl) or close < csl) ? -1 : lh or hl ? 0 : trend
What does that gibberish mean?
-Trend can be GREEN IF
- We have a higher high (current swing high is greater than the previous swing high) and the high is greater than the previous swing high
- OR The current close is greater than the current swing high
-Trend can be RED IF
- We have a lower low (current swing low is less than the previous swing low) and the low is less than the previous swing low
- OR The current close is less than the current swing low
-Trend can be YELLOW IF
- We have a new swing high and the new swing high is less than the previous swing high
- OR We have a new swing low and the new swing low is greater than the previous swing low
If none of the conditions above are true then we continue with whatever color the previous bar was.
What is repainting?
Repainting is "script behavior causing historical vs realtime calculations or plots to behave differently." That definition comes directly from Tradingview. If you want to read the full explanation you can visit it here www.tradingview.com . The price-action candles use swing highs and swing lows which need bars to the left (past) and bars to the right ("future") in order to confirm the swing level. Because of the need to wait for confirmation for swing levels the plot style can be repainting. The Price-Action Candles (Lower) indicator, or this indicator, has no repainting anywhere. We opt to not shift back the candle coloring which causes the repainting, but it is relevant to discuss since this indicator's sibling (Price-Action Candles) can have repainting labels.
Repaint
Here the labels are shifted back the price-action length. Repainting is not present in the Price-Candles (Lower) study, but can be found in this indicator's sibling (Price-Action Candles).
Non-Repaint
Here the labels are not shifted back or "repainted". Repainting is not present in the Price-Candles (Lower) study, but can be found in this indicator's sibling (Price-Action Candles).
Multi-timeframe Analysis
The users can view multi-timeframe historical price action trend via this lower study. Each timeframe is plotted as its own on the lower pane and you can determine what timeframe it is by the label next to the plot.
More examples
Pair the Price-Action Candles (Lower) indicator with our main price indicator that colors candles based on trend and can show price action labels.
Price-Action CandlesWhat is a swing high or swing low?
Swing highs and lows are price extremes. For example say we set our swing length to 5. A candle that is a swing high with a swing length of 5 will have 5 bars to the left that are lower and 5 bars to the right that are lower. A candle that is a swing low with a swing length of 5 will have 5 bars to the left that are higher and 5 bars to the right that are higher.
How are the trend candles calculated?
The trend candles are calculated by storing and comparing historical swing lows and swing highs.
The pinescript code goes as follows:
The pinescript code goes as follows:
var int trend = na
trend := ((hh and high >= psh) or close > csh) ? 1 : ((ll and low <= psl) or close < csl) ? -1 : lh or hl ? 0 : trend
What does that gibberish mean?
-Candle can be GREEN IF
- We have a higher high (current swing high is greater than the previous swing high) and the high is greater than the previous swing high
- OR The current close is greater than the current swing high
-Candle can be RED IF
- We have a lower low (current swing low is less than the previous swing low) and the low is less than the previous swing low
- OR The current close is less than the current swing low
-Candle can be YELLOW IF
- We have a new swing high and the new swing high is less than the previous swing high
- OR We have a new swing low and the new swing low is greater than the previous swing low
If none of the conditions above are true then we continue with whatever color the previous bar was.
What is repainting?
Repainting is "script behavior causing historical vs realtime calculations or plots to behave differently." That definition comes directly from Tradingview. If you want to read the full explanation you can visit it here www.tradingview.com . The price-action candles use swing highs and swing lows which need bars to the left (past) and bars to the right ("future") in order to confirm the swing level. Because of the need to wait for confirmation to for swing levels the plot style can be repainting. With the price-action candles indicator the only repainting part of the indicator is the labels. The price-action candles themselves WILL NOT REPAINT. The labels however can be set to repaint or not depending on the user preference. If the user opts to use repainting then the label location is shifted back by the length of the price-action. So if the "Price-Action Length" input is set to 10, and the user wants repainting, the swing high/low label will be shifted back 10 bars. If the user opts for no repainting, the label will not be shifted and instead show on the exact bar the swing level was confirmed.
Examples Below.
Repaint
Here the labels are shifted back the price-action length.
Non-Repaint
Here the labels are not shifted back because the input setting is set to not repaint.
Multi-timeframe Analysis
The users can view the trend from multiple different timeframes at once with a table displayed at the bottom of their charts. The timeframe can be lower or higher than the chart timeframe.
More examples
Be on the lookout for the Price Action Candles (Lower) indicator where you can view the multi-timeframe labels on a lower price grid in order to see the history over time!
SuperTrend ToolkitThe SuperTrend Toolkit (Super Kit) introduces a versatile approach to trend analysis by extending the application of the SuperTrend indicator to a wide array of @TradingView's built-in or Community Scripts . This tool facilitates the integration of the SuperTrend algorithm with various indicators, including oscillators, moving averages, overlays, and channels.
Methodology:
The SuperTrend, at its core, calculates a trend-following indicator based on the Average-True-Range (ATR) and price action. It creates dynamic support and resistance levels, adjusting to changing market conditions, and aiding in trend identification.
pine_st(simple float factor = 3., simple int length = 10) =>
float atr = ta.atr(length)
float up = hl2 + factor * atr
up := up < nz(up ) or close > nz(up ) ? up : nz(up )
float lo = hl2 - factor * atr
lo := lo > nz(lo ) or close < nz(lo ) ? lo : nz(lo )
int dir = na
float st = na
if na(atr )
dir := 1
else if st == nz(up )
dir := close > up ? -1 : 1
else
dir := close < lo ? 1 : -1
st := dir == -1 ? lo : up
@TradingView's native SuperTrend lacks the flexibility to incorporate different price sources into its calculation.
Community scripts, addressed the limitation by implementing the option to input different price sources, for example, one of the most popular publications, @KivancOzbilgic's SuperTrend script.
In May 2023, @TradingView introduced an update allowing the passing of another indicator's plot as a source value via the input.source() function. However, the built-in ta.atr function still relied on the chart's price data, limiting the formerly mentioned scripts to the chart's price data alone.
Unique Approach -
This script addresses the aforementioned limitations by processing the data differently.
Firstly we create a User-Defined-Type (UDT) replicating a bar's open, high, low, close (OHLC) values.
type bar
float o = open
float h = high
float l = low
float c = close
We then use this type to store the external input data.
src = input.source(close, "External Source")
bar b = bar.new(
nz(src ) , open 𝘷𝘢𝘭𝘶𝘦
math.max(nz(src ), src), high 𝘷𝘢𝘭𝘶𝘦
math.min(nz(src ), src), low 𝘷𝘢𝘭𝘶𝘦
src ) close 𝘷𝘢𝘭𝘶𝘦
Finally, we pass the data into our custom built SuperTrend with ATR functions to derive the external source's version of the SuperTrend indicator.
supertrend st = b.st(mlt, len)
- Setup Guide -
Utility and Use Cases:
Universal Compatibility - Apply SuperTrend to any built-in indicator or script, expanding its use beyond traditional price data.
- A simple example on one of my own public scripts -
Trend Analysis - Gain additional trend insights into otherwise mainly mean reverting or volume indicators.
- Alerts Setup Guide -
The Super Kit empowers traders and analysts with a tool that adapts the robust SuperTrend algorithm to a myriad of indicators, allowing comprehensive trend analysis and strategy development.
