Z-score changeAs a wise man once said that:
1. beginners think in $ change
2. intermediates think in % change
3. pros think in Z change
Here is the "Z-score change" indicator that calculates up/down moves normalized by standard deviation (volatility) displayed as bar chart with 1,2 and 3 stdev levels.
レート・オブ・チェンジ (ROC)
ROC & EMAIn summary, this allows you to plot the ROC, its EMA, and dynamically display the value of this EMA on the chart.
You can configure different lengths and colors.
Unpretentious code, just for the pleasure of sharing.
Thank you for sharing your comments with me, which will be welcome.
Nasan Rate of Change (ROC)**NOTE: FOR COMPARISON TRADITIONAL ROC IS PLOTTED WITH THE SAME ROC LENGTH OF 9. IT IS NOT PART OF THE INDICATOR"
The Nasan ROC indicator is smoothed version of the of the traditional ROC indicator. The Nasna ROC uses a triple pass moving average differencing strategy. A cumulative sum of the deviations obtained from the moving average differencing provides a smooth "noise free" trend and this cumulative sum of deviations is used for calculating ROC.
Let's break down the components and understand the indicator we discussed earlier:
Sequential Triple Pass Filter:
Three filters with lengths specified by length1, length2, and length3 are applied to the closing prices (close).
The filters involve calculating the cumulative sum of the differences between the closing prices and their respective moving averages.
The idea is to detrend the data and accumulate the deviations from the average over time, emphasizing longer-term trends.
Calculation of Rate of Change (ROC) of Cumulative Sum:
The Rate of Change (ROC) of the cumulative sum (rocCumulativeSum) is calculated using the ta.roc function with a specified length (rocLength).
ROC measures the percentage change in the cumulative sum over a specified period.
The ROC histogram provides insights into the momentum of the detrended series. Positive values suggest increasing momentum, while negative values suggest decreasing momentum.
Pay attention to the color of the histogram bars.
The histogram bars are colored green if the current ROC value is greater than or equal to the previous ROC value, and red otherwise.
This coloring is based on the concept that a positive ROC suggests upward momentum, while a negative ROC suggests downward momentum.
Volatility - Volume Impact:
The Average True Range (ATR) is calculated with a period of 14.
Volume strength is calculated as a factor (VCF) that considers the ratio of the simple moving average (SMA) of the current volume to the SMA of the volume over a longer period (144).
This volume factor (VCF) is then multiplied by ATR, creating a synergy with volatility and volume.
Visualization with Background Color Gradient:
A background color gradient is applied to the chart based on the calculated volume strength (f1).
The gradient color ranges from black (indicating low ATR and volume strength) to purple (indicating high ATR and volume strength). A low value indicates a ranging market with no significant price movements and it is safter to avoid signals generated from ROC histogram in these region.
Synergy of ROC and Volume Strength:
Observe how the ROC signals align with the background color gradient. For example, confirm whether positive ROC aligns with periods of high ATR and volume strength.
This synergy can provide confirmation or divergence signals, adding another layer of analysis.
Detrended Price Rate of ChangeThe Detrended Price Rate of Change is an oscillator developed to help traders identify potential conditions of overbought and oversold markets.
The formula of the oscillator includes both the Detrended price formula, useful to spot divergences, and the Rate of change simplified formula, which helps in identifying overextended markets and gives useful information on price momentum.
Rate of Change StrategyRate of Change Strategy :
INTRODUCTION :
This strategy is based on the Rate of Change indicator. It compares the current price with that of a user-defined period of time ago. This makes it easy to spot trends and even speculative bubbles. The strategy is long term and very risky, which is why we've added a Stop Loss. There's also a money management method that allows you to reinvest part of your profits or reduce the size of your orders in the event of substantial losses.
RATE OF CHANGE (ROC) :
As explained above, the ROC is used to situate the current price compared to that of a certain period of time ago. The formula for calculating ROC in relation to the previous year is as follows :
ROC (365) = (close/close (365) - 1) * 100
With this formula we can find out how many percent the change in the current price is compared with 365 days ago, and thus assess the trend.
PARAMETERS :
ROC Length : Length of the ROC to be calculated. The current price is compared with that of the selected length ago.
ROC Bubble Signal : ROC value indicating that we are in a bubble. This value varies enormously depending on the financial product. For example, in the equity market, a bubble exists when ROC = 40, whereas in cryptocurrencies, a bubble exists when ROC = 150.
Stop Loss (in %) : Stop Loss value in percentage. This is the maximum trade value percentage that can be lost in a single trade.
Fixed Ratio : This is the amount of gain or loss at which the order quantity is changed. The default is 400, which means that for each $400 gain or loss, the order size is increased or decreased by an amount chosen by the user.
Increasing Order Amount : This is the amount to be added to or subtracted from orders when the fixed ratio is reached. The default is $200, which means that for every $400 gain, $200 is reinvested in the strategy. On the other hand, for every $400 loss, the order size is reduced by $200.
Initial capital : $1000
Fees : Interactive Broker fees apply to this strategy. They are set at 0.18% of the trade value.
Slippage : 3 ticks or $0.03 per trade. Corresponds to the latency time between the moment the signal is received and the moment the order is executed by the broker.
Important : A bot has been used to test the different parameters and determine which ones maximize return while limiting drawdown. This strategy is the most optimal on BITSTAMP:BTCUSD in 1D timeframe with the following parameters :
ROC Length = 365
ROC Bubble Signal = 180
Stop Loss (in %) = 6
LONG CONDITION :
We are in a LONG position if ROC (365) > 0 for at least two days. This allows us to limit noise and irrelevant signals to ensure that the ROC remains positive.
SHORT CONDITION :
We are in a SHORT position if ROC (365) < 0 for at least two days. We also open a SHORT position when the speculative bubble is about to burst. If ROC (365) > 180, we're in a bubble. If the bubble has been in existence for at least a week and the ROC falls back below this threshold, we can expect the asset to return to reasonable prices, and thus a downward trend. So we're opening a SHORT position to take advantage of this upcoming decline.
EXIT RULES FOR WINNING TRADE :
The strategy is self-regulating. We don't exit a LONG trade until a SHORT signal has arrived, and vice versa. So, to exit a winning position, you have to wait for the entry signal of the opposite position.
RISK MANAGEMENT :
This strategy is very risky, and we can easily end up on the wrong side of the trade. That's why we're going to manage our risk with a Stop Loss, limiting our losses as a percentage of the trade's value. By default, this percentage is set at 6%. Each trade will therefore take a maximum loss of 6%.
If the SL has been triggered, it probably means we were on the wrong side. This is why we change the direction of the trade when a SL is triggered. For example, if we were SHORT and lost 6% of the trade value, the strategy will close this losing trade and open a long position without taking into account the ROC value. This allows us to be in position all the time and not miss the best opportunities.
MONEY MANAGEMENT :
The fixed ratio method was used to manage our gains and losses. For each gain of an amount equal to the value of the fixed ratio, we increase the order size by a value defined by the user in the "Increasing order amount" parameter. Similarly, each time we lose an amount equal to the value of the fixed ratio, we decrease the order size by the same user-defined value. This strategy increases both performance and drawdown.
NOTE :
Please note that the strategy is backtested from 2017-01-01. As the timeframe is 1D, this strategy is a medium/long-term strategy. That's why only 34 trades were closed. Be careful, as the test sample is small and performance may not necessarily reflect what may happen in the future.
Enjoy the strategy and don't forget to take the trade :)
Crypto Market OverviewCrypto Market Overview
The Crypto Market Overview (CMO) indicator is your one-stop tool for keeping tabs on the cryptocurrency market. It provides a comprehensive snapshot of key data and trends, helping you make informed decisions in the fast-paced world of crypto trading. Here's what this indicator offers:
1. Lookback Period Control:
You can customize the lookback period for percentage change calculations, tailoring it to your specific analysis needs.
2. Currency Selection:
Choose your preferred currency to view market data in your desired denomination.
3. Major Market Cap Data:
Real-time information on Bitcoin (BTC) and Ethereum (ETH) market caps.
Total market capitalization data for the entire crypto market.
4. Stablecoin Market Cap Data:
Keep track of stablecoin market caps, including USDT, USDC, DAI, TUSD, and BUSD.
Get a clear picture of the stablecoin segment of the market.
5. Shitcoin Market Cap Data:
An interesting category that represents the market cap of all cryptocurrencies not classified as major or stable.
6. Dominance Data:
Dominance percentages for BTC, ETH, stablecoins and shitcoins.
Total market dominance, allowing you to gauge the influence of major cryptocurrencies.
7. Rate of Change (RoC) Metrics:
Monitor the RoC for market caps and dominance percentages.
Positive or negative trends are clearly highlighted with color-coded indicators.
8. Intuitive Table Layout:
A user-friendly table layout displays all the data.
Key assets such as Bitcoin and Ethereum are listed along with their market caps and dominance.
9. Color Coding:
Upward and downward trends are easily identifiable with color-coded cells.
A white background with bold text ensures readability.
The Crypto Market Overview indicator is an invaluable tool for cryptocurrency traders and enthusiasts, offering a quick and convenient way to stay updated on market dynamics. It's perfect for making data-driven decisions in the ever-changing world of digital assets.
How To Input CSV List Of Symbol Data Used For ScreenerExample of how to input multiple symbols at once using a CSV list of ticker IDs. The input list is extracted into individual ticker IDs which are then each used within an example screener function that calculates their rate of change. The results for each of the rate of changes are then plotted.
For code brevity this example only demonstrates using up to 4 symbols, but the logic is annotated to show how it can easily be expanded for use with up to 40 ticker IDs.
The CSV list used for input may contain spaces or no spaces after each comma separator, but whichever format (space or no space) is used must be used consistently throughout the list. If the list contains any invalid symbols the script will display a red exclamation mark that when clicked will display those invalid symbols.
If more than 4 ticker IDs are input then only the first 4 are used. If less than 4 ticker IDs are used then the unused screener calls will return `float(na)`. In the published chart the input list is using only 3 ticker IDs so there are only 3 plots shown instead of 4.
NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
Coppock Curve w/ Early Turns [QuantVue]The Coppock Curve is a momentum oscillator developed by Edwin Coppock in 1962. The curve is calculated using a combination of the rate of change (ROC) for two distinct periods, which are then subjected to a weighted moving average (WMA).
History of the Coppock Curve:
The Coppock Curve was originally designed for use on a monthly time frame to identify buying opportunities in stock market indices, primarily after significant declines or bear markets.
Historically, the monthly time frame has been the most popular for the Coppock Curve, especially for long-term trend analysis and spotting the beginnings of potential bull markets after bearish periods.
The signal wasn't initially designed for finding sell signals, however it can be used to look for tops as well.
When the indicator is above zero it indicates a hold. When the indicator drops below zero it indicates a sell, and when the indicator moves above zero it signals a buy.
While this indicator was originally designed to be used on monthly charts of the indices, many traders now use this on individual equities and etfs on all different time frames.
About this Indicator:
The Coppock Curve is plotted with colors changing based on its position relative to the zero line. When above zero, it's green, and when below, it's red. (default settings)
An absolute zero line is also plotted in black to serve as a reference.
In addition to the classic Coppock Curve, this indicator looks to identify "early turns" or potential reversals of the Coppock Curve rather than waiting for the indicator to cross above or below the zero line.
Give this indicator a BOOST and COMMENT your thoughts!
We hope you enjoy.
Cheers!
Bar Color Long / Short Indicator With Advised SL Rev 1This is the Revised Version of Bar Color Long / Short Indicator With Advised SL with some extra features
Overview
This script is a trading indicator named "Bar Color Long / Short Indicator With Advised SL" designed for the TradingView platform. The indicator's primary purpose is to provide entry signals for long and short positions, based on various technical analysis methods. Additionally, the indicator suggests stop-loss levels for both long and short positions.
User Inputs
The indicator has several user inputs, such as:
Length
Smoothing
Multiplier
Show bar colors (ON/OFF)
When the bar colors are turned off, the alert signals for long and short positions will be displayed instead.
Custom Risk Calculation
The script calculates a custom risk level based on a modified version of the RSI (Relative Strength Index) formula. The custom risk level is divided into three categories: low, medium, and high.
Sentiment Score Calculation
The indicator calculates a sentiment score based on a combination of methods resembling EMA (Exponential Moving Average), MACD (Moving Average Convergence Divergence), and ROC (Rate of Change). The sentiment score is used to determine if the sentiment is positive or negative.
Bollinger Bands Percent and Combined Signal
The Bollinger Bands Percent is calculated, and the custom risk, sentiment score, and Bollinger Bands Percent are combined to generate a new signal. This signal is used in conjunction with EMA10 to determine the bar colors and provide entry signals.
Bar Colors
Based on the combined signal and EMA10, the script determines the bar colors as follows:
Orange: Positive sentiment
Blue: Negative sentiment
Gray: Neutral
Entry Signals and Alerts
When the bar colors are turned off, the indicator displays large green arrow signals for long (buy) positions and red arrow signals for short (sell) positions based on the sentiment and EMA10 conditions. The script also includes alert conditions for long and short signals, which can be used to set up notifications when these signals are triggered in the TradingView platform.
Advised Stop-Loss Levels
The indicator plots stop-loss lines for both long and short positions at the last candle, accompanied by labels showing the advised stop-loss levels in numeric values
Rev 1
added / changed :
SMA50 slope check
EMA20 higher or lower than EMA10
color ON/OFF changed
Signal once Buy and Sell
Kalman Filtered ROC & Stochastic with MA SmoothingThe "Smooth ROC & Stochastic with Kalman Filter" indicator is a trend following tool designed to identify trends in the price movement. It combines the Rate of Change (ROC) and Stochastic indicators into a single oscillator, the combination of ROC and Stochastic indicators aims to offer complementary information: ROC measures the speed of price change, while Stochastic identifies overbought and oversold conditions, allowing for a more robust assessment of market trends and potential reversals. The indicator plots green "B" labels to indicate buy signals and blue "S" labels to represent sell signals. Additionally, it displays a white line that reflects the overall trend for buy signals and a blue line for sell signals. The aim of the indicator is to incorporate Kalman and Moving Average (MA) smoothing techniques to reduce noise and enhance the clarity of the signals.
Rationale for using Kalman Filter:
The Kalman Filter is chosen as a smoothing tool in the indicator because it effectively reduces noise and fluctuations. The Kalman Filter is a mathematical algorithm used for estimating and predicting the state of a system based on noisy and incomplete measurements. It combines information from previous states and current measurements to generate an optimal estimate of the true state, while simultaneously minimizing the effects of noise and uncertainty. In the context of the indicator, the Kalman Filter is applied to smooth the input data, which is the source for the Rate of Change (ROC) calculation. By considering the previous smoothed state and the difference between the current measurement and the predicted value, the Kalman Filter dynamically adjusts its estimation to reduce the impact of outliers.
Calculation:
The indicator utilizes a combination of the ROC and the Stochastic indicator. The ROC is smoothed using a Kalman Filter (credit to © Loxx: ), which helps eliminate unwanted fluctuations and improve the signal quality. The Stochastic indicator is calculated with customizable parameters for %K length, %K smoothing, and %D smoothing. The smoothed ROC and Stochastic values are then averaged using the formula ((roc + d) / 2) to create the blended oscillator. MA smoothing is applied to the combined oscillator aiming to further reduce fluctuations and enhance trend visibility. Traders are free to choose their own preferred MA type from 'EMA', 'DEMA', 'TEMA', 'WMA', 'VWMA', 'SMA', 'SMMA', 'HMA', 'LSMA', and 'PEMA' (credit to: © traderharikrishna for this code: ).
Application:
The indicator's buy signals (represented by green "B" labels) indicate potential entry points for buying assets, suggesting a bullish trend. The white line visually represents the trend, helping traders identify and follow the upward momentum. Conversely, the sell signals (blue "S" labels) highlight possible exit points or opportunities for short selling, indicating a bearish trend. The blue line illustrates the bearish movement, aiding in the identification of downward momentum.
The "Smoothed ROC & Stochastic" indicator offers traders a comprehensive view of market trends by combining two powerful oscillators. By incorporating the ROC and Stochastic indicators into a single oscillator, it provides a more holistic perspective on the market's momentum. The use of a Kalman Filter for smoothing helps reduce noise and enhance the accuracy of the signals. Additionally, the indicator allows customization of the smoothing technique through various moving average types. Traders can also utilize the overbought and oversold zones for additional analysis, providing insights into potential market reversals or extreme price conditions. Please note that future performance of any trading strategy is fundamentally unknowable, and past results do not guarantee future performance.
[TTI] NDR 63-Day QQQ-QQEW ROC% SpreadWelcome to the NDR 63-Day QQQ-QQEW ROC% Spread script! This script is a powerful tool that calculates and visualizes the 63-day Rate of Change (ROC%) spread between the QQQ and QQEW tickers. This script is based on the research conducted by Ned Davis Research (NDR), a renowned name in the field of investment strategy.
⚙️ Key Features:
👉Rate of Change Calculation: The script calculates the 63-day Rate of Change (ROC%) for both QQQ and QQEW tickers. The ROC% is a momentum oscillator that measures the percentage price change over a given time period.
👉Spread Calculation: The script calculates the spread between the ROC% of QQQ and QQEW. This spread can be used to identify potential trading opportunities.
👉Visual Representation: The script plots the spread on the chart, providing a visual representation of the ROC% spread. This can help traders to easily identify trends and patterns.
👉Warning Lines: The script includes warning lines at +600 and -600 levels. These lines can be used as potential thresholds for trading decisions.
Usage:
To use this script, simply add it to your TradingView chart. The script will automatically calculate the ROC% for QQQ and QQEW and plot the spread on the chart. You can use this information to inform your trading decisions.
🚨 Disclaimer:
This script is provided for educational purposes only and is not intended as investment advice. Trading involves risk and is not suitable for all investors. Please consult with a financial advisor before making any investment decisions.
🎖️ Credits:
This script is based on the research conducted by Ned Davis Research (NDR). All credit for the underlying methodology and concept goes to NDR.
Trend Reversal DetectionIntroducing the "Trend Reversal Detection" indicator, a sophisticated and user-friendly script that utilizes the PeacefulIndicators library to identify potential trend reversals in the market. This indicator is designed to help you stay ahead of market changes and enhance your trading analysis.
The Trend Reversal Detection indicator offers the following features:
Customizable input parameters, allowing you to adjust the Rate of Change (ROC) length, Moving Average (MA) length, and MA type (SMA, EMA, or WMA) according to your trading preferences and style.
A visually intuitive display, using orange and blue markers to indicate potential trend reversals, making it easy to interpret the indicator's signals.
The core functionality of the Trend Reversal Detection indicator is powered by the trendReversalDetection function from the PeacefulIndicators library, ensuring accurate and reliable reversal detection.
To start using the Trend Reversal Detection indicator in your trading analysis, simply add the script to your chart and customize the input parameters as needed. We hope this script, built upon the PeacefulIndicators library, proves to be a valuable addition to your trading strategy.
RSI-ROC Momentum AlertThis is the RSI-ROC Momentum Alert trading indicator, designed to help traders identify potential buy and sell signals based on the momentum of price movements.
The indicator is based on two technical indicators: the Rate of Change (ROC) and the Relative Strength Index (RSI). The ROC measures the speed of price changes over a given period, while the RSI measures the strength of price movements. By combining these two indicators, this trading indicator aims to provide a comprehensive view of the market momentum.
An RSI below its oversold level, which shows as a green background, in addition to a ROC crossing above its moving average (turns green) signals a buying opportunity.
An RSI above its overbought level, which shows as a red background, in addition to a ROC crossing below its moving average (turns red) signals a selling opportunity.
Traders can use this indicator to identify potential momentum shifts and adjust their trading strategies accordingly.
The ROC component of the indicator uses a user-defined length parameter to calculate the ROC and a simple moving average (SMA) of the ROC. The color of the ROC line changes to green when it is above the ROC SMA and to red when it is below the ROC SMA. The ROC SMA color changes whether it's above or below a value of 0.
The RSI component of the indicator uses a user-defined length parameter to calculate the RSI, and user-defined RSI Low and RSI High values to identify potential buy and sell signals. When the RSI falls below the RSI Low value, a green background color is applied to the chart to indicate a potential buy signal. Conversely, when the RSI rises above the RSI High value, a red background color is applied to the chart to indicate a potential sell signal.
This indicator is intended to be used on any time frame and any asset, and can be customized at will.
Bar Color Long / Short Indicator With Advised SLOverview
This script is a trading indicator named "Bar Color Long / Short Indicator With Advised SL" designed for the TradingView platform. The indicator's primary purpose is to provide entry signals for long and short positions, based on various technical analysis methods. Additionally, the indicator suggests stop-loss levels for both long and short positions.
User Inputs
The indicator has several user inputs, such as:
Length
Smoothing
Multiplier
Show bar colors (ON/OFF)
When the bar colors are turned off, the alert signals for long and short positions will be displayed instead.
Custom Risk Calculation
The script calculates a custom risk level based on a modified version of the RSI (Relative Strength Index) formula. The custom risk level is divided into three categories: low, medium, and high.
Sentiment Score Calculation
The indicator calculates a sentiment score based on a combination of methods resembling EMA (Exponential Moving Average), MACD (Moving Average Convergence Divergence), and ROC (Rate of Change). The sentiment score is used to determine if the sentiment is positive or negative.
Bollinger Bands Percent and Combined Signal
The Bollinger Bands Percent is calculated, and the custom risk, sentiment score, and Bollinger Bands Percent are combined to generate a new signal. This signal is used in conjunction with EMA10 to determine the bar colors and provide entry signals.
Bar Colors
Based on the combined signal and EMA10, the script determines the bar colors as follows:
Orange: Positive sentiment
Blue: Negative sentiment
Gray: Neutral
Entry Signals and Alerts
When the bar colors are turned off, the indicator displays large green arrow signals for long (buy) positions and red arrow signals for short (sell) positions based on the sentiment and EMA10 conditions. The script also includes alert conditions for long and short signals, which can be used to set up notifications when these signals are triggered in the TradingView platform.
Advised Stop-Loss Levels
The indicator plots stop-loss lines for both long and short positions at the last candle, accompanied by labels showing the advised stop-loss levels in numeric values.
Rate Of Change [Hyperbolic]Rate Of Change just got fixed!
Do note that you have to activate the "exotic calculations" inside the ROC-H settings.
A hyperbolic curve now transforms price. No more infinities on your indicators!
You may use the "exotic" function, that is embedded in my script in your own scripts.
This formula basically transforms the input (which may be zero or negative) into a strictly positive one.
While the mathematicians out there would opt for alternative formulae (like the exponential for negative numbers), I used the hyperbolic curve for continuity purposes. Feel free to build upon my calculations, and make them even better!
Tread lightly, for this is hallowed ground.
-Father Grigori
P.S. I cannot lock the source code. Science and knowledge belongs to humanity. Knowledge must not be up for sale.
Know Sure Thing + RibbonFrom now on this will be the main indicator I will be using.
The mathematical foundation of KST is elegant and trustworthy. I took the time to share this beautiful (in my opinion) indicator, because you will probably be seeing it in my future ideas.
I am not a trader, this indicator was made to analyze mainly long-term charts, and trend-continuation/change analysis.
The purpose of this indicator is not to give entry/exit points. However, the 9-period EMA (tightest EMA) can serve as an alternative to the classic "9-period MA signal line".
Tread lightly, for this is hallowed ground.
-Father Grigori
Cryptos Pump Hunter[liwei666]🔥 Cryptos Pump Hunter captured high volatility symbols in real-time, Up to 40 symbols can be monitored at same time.
Help you find the most profitable symbol with excellent visualization.
🔥 Indicator Design logic
🎯 The core pump/dump logic is quite simple
1. calc past bars highest and lowest High price, get movement by this formula
" movement = (highest - lowest) / lowest * 100 "
2. order by 'movement' value descending, you will get a volatility List
3. use Table tool display List, The higher the 'movement', the higher the ranking.
🔥 Settings
🎯 2 input properties impact on the results, 2 input impact on display effects, others look picture below.
pump_bars_cnt : lookback bar to calc pump/dump
resolution for pump : 1min to 1D
show_top1 : when ranking list top1 change, will draw a label
show pump : when symbol over threhold, draw a pump lable
🔥 How TO USE
🎯 only trade high volatility symbols
1. focus on top1 symbol on Table panel at top-right postion, trading symbols at label in chart.
2. Short when 'postion' ~ 0, Long when 'postion' ~ 1 on Table Cell
🎯 Monitor the symbols you like
1. 100+ symbols added in script, cancel remarks in code line if symbol is your want
2. add 1 line code if symbol not exist. if you want monitor 'ETHUSDTPERP ', then add
" ETHUSDTPERP = create_symbol_obj('BINANCE:ETHUSDTPERP'), array.unshift(symbol_a, ETHUSDTPERP ) "
🎯 Alert will be add soon, any questions or suggestion please comment below, I would appreciate it greatly.
Hope this indicator will be useful for you :)
enjoy! 🚀🚀🚀
Relative Performance Dashboard v. 2This is a smaller and cleaner version of my previous Relative Performance table. It looks at the rate of change over 1M, 3M, 6M, 1YR & YTD and displays those for the current chart's ticker vs. an index/ticker of your choosing (SPX is default). I also have some fields for the ADR of the displayed chart, how far away the displayed chart is from 52-week highs, and a single number that compares the average relative strength of the displayed chart vs. the index. The way this average calculates is customizable by the user.
I like using this table next to an Earnings/Sales/Volume table that already exists by another user in the same pane and I designed this one so it can look just like that one to give a great view of the both fundamental and technical strength of your ticker in the same pane.
Keeping fundamental data independent from performance data allows you to still be able to see performance on things without fundamental data (i.e. ETFs, Indices, Crypto, etc.) as any script that uses fundamental data will not display when a chart that does not have fundamental data is displayed.
ROC (Rate of Change) Refurbished▮ Introduction
The Rate of Change indicator (ROC) is a momentum oscillator.
It was first introduced in the early 1970s by the American technical analyst Welles Wilder.
It calculates the percentage change in price between periods.
ROC takes the current price and compares it to a price 'n' periods (user defined) ago.
The calculated value is then plotted and fluctuates above and below a Zero Line.
A technical analyst may use ROC for:
- trend identification;
- identifying overbought and oversold conditions.
Even though ROC is an oscillator, it is not bounded to a set range.
The reason for this is that there is no limit to how far a security can advance in price but of course there is a limit to how far it can decline.
If price goes to $0, then it obviously will not decline any further.
Because of this, ROC can sometimes appear to be unbalanced.
(TradingView)
▮ Improvements
The following features were added:
1. Eight moving averages for the indicator;
2. Dynamic Zones;
3. Rules for coloring bars/candles.
▮ Motivation
Averages have been added to improve trend identification.
For finer tuning, you can choose the type of averages.
You can hide them if you don't need them.
The Dynamic Zones has been added to make it easier to identify overbought/oversold regions.
Unlike other oscillators like the RSI for example, the ROC does not have a predetermined range of oscillations.
Therefore, a fixed line that defines an overbought/oversold range becomes unfeasible.
It is in this matter that the Dynamic Zone helps.
It dynamically adjusts as the indicator oscillates.
▮ About Dynamic Zones
'Most indicators use a fixed zone for buy and sell signals.
Here's a concept based on zones that are responsive to the past levels of the indicator.'
The concept of Dynamic Zones was described by Leo Zamansky (Ph.D.) and David Stendahl, in the magazine of Stocks & Commodities V15:7 (306-310).
Basically, a statistical calculation is made to define the extreme levels, delimiting a possible overbought/oversold region.
Given user-defined probabilities, the percentile is calculated using the method of Nearest Rank.
It is calculated by taking the difference between the data point and the number of data points below it, then dividing by the total number of data points in the set.
The result is expressed as a percentage.
This provides a measure of how a particular value compares to other values in a data set, identifying outliers or values that are significantly higher or lower than the rest of the data.
▮ Thanks and Credits
- TradingView: for ROC and Moving Averages
- allanster: for Dynamic Zones
MATHR3E RAMP-MA█ OVERVIEW
MATHR3E RAMP-MA (R-MA) is a trend following indicator.
█ CONCEPTS
Disclaimer:
MATHR3E RAMP-MA indicator is intended for advanced traders and may fit your profile, whether you are a day trader or a long-term investor.
It was originally developed by a renowned market analyst and documented in numerous books. Among them is the author Jason Perl.
It is recommended to have read the trading techniques mentioned in the books covering this indicator beforehand.
How to use:
MATHR3E RAMP-MA is useful for determining if a market is trending and when so, to procure entry points to initiate a trade in line with the expected directional move.
It can be applied to markets as a stop-loss, as well as a low-risk entry qualifier in conjunction with other indicators of the same author.
Moving Average (R-MA I):
Only displayed when market is trending
• Bull trend: Green (moving avg Lows/Period)
• Bear trend: Red (moving avg Highs/Period)
Moving Average (R-MA II):
Always displayed
• Bullish outlook on the market: the 3-day moving average must be positioned above the 34-day moving average
• Bearish outlook on the market: the 3-day moving average must be positioned below the 34-day moving average
█ FEATURES & BENEFITS
Versatile:
This indicator is based on relative price action, so you can apply it to any market or time frame without having to change the default settings.
Rate of Change:
The ROC is calculated for the fast and slow periods of the R-MA (II).
R-MA (II) is colored blue when its rate of change is advancing and maroon when it is declining.
Breakout Qualifier:
A close above/below the moving average R-MA (I) that is confirmed by the following price bar's opening price
Materialized on chart with Flags:
• Green when bear trend ends
• Red when bull trend ends
Alerts
Get notified on:
• UpTrend breakout
• DnTrend breakout
• Any breakout Signal
BTC Pair Change %This script makes it easier to quickly check how the BTC pair of the current symbol is performing on any pair.
It adds a " change percentage widge t" (of the BTC pair ) to the top right of the chart.
(Refer to the image for an example.)
The change percentage calculation is performed as described here:
www.tradingview.com
To match the "Chg%" that appears on TradingView watchlists, a 24H (1440min) timeframe is used, as described here:
money.stackexchange.com
In short, this script:
Searches for the BTC pair of the current symbol
Calculates the change % using the above described logic (links)
Adds a " change percentage widget " (of the BTC pair) to the top right of the chart
Allows for using 24H timeframe or the current timeframe (enable " Use current timeframe " under the script options)
Rate of Change Candle Standardized (ROCCS)ROCCS is a standardized rate of change oscillator with "error bars". Rate of change helps traders gauge momentum in a market by comparing the current price with the price "n" periods ago. What makes this special is you get to see the momentum of the momentum via the candle view. The candle transformation utilizes a moving average to smooth the signal however this is only used for the close price. The high and low prices are not smoothed. The moving average has an adjustable period, and so does the standardization.
I hope you can find great use in this upgraded roc indicator.
