Volatility {RCVI} Stop-Limit SelectorA Stop-Limit Selector powered by the Relative Candle Volatility & Directionality Index (RCVI and RCDI) to help suggest the latest suitable Stop-Limit prices @ multiple levels of risk-control "tightness" depending on what is desired.
Stop-Limit Levels can be Enabled/Disabled in the settings.
Note: In no way is this intended as a financial/investment/trading advice. You are responsible for your own investment/trade decisions.
Please PM me for access information.
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Volatility Decay & SqueezeThis has only been tested for crypto. The squeeze currently shown here should result in volatility upwards. This is an attempt to monitor volatility as a leading indicator and is currently under development.
Volatility RegimeThis is a useful volatility indicator to be used on a Daily time Frame
and paired with the Market Regime indicator.
Gray means that the markets have low volatility (calm) and might be consolidating before resuming or reversing the trend.
Teal means that volatility is somewhere around the average.
And Yellow means it has spiked up and we are in a high volatility regime.
When you pair it with the Market Regime filter for Bull/Bear markets you will
find that the best bull markets start from low volatility and mature on high volatility.
More often than not, the top comes when The Market Regime is very strong (Super Bull)
and volatility is high.
Similarly, the bottom arrives when the Market Regime is very bearish (Super Bear)
and volatility is high.
Volatility % Bands (O→C)Volatility % Bands (O→C) is an indicator designed to visualize the percentage change from Open to Close of each candle, providing a clear view of short-term momentum and volatility.
**Histogram**: Displays bar-by-bar % change (Close vs Open). Green bars indicate positive changes, while red bars indicate negative ones, making momentum shifts easy to identify.
**Moving Average Line**: Plots the Simple Moving Average (SMA) of the absolute % change, helping traders track the average volatility over a chosen period.
**Background Bands**: Based on the user-defined Level Step, ±1 to ±5 zones are highlighted as shaded bands, allowing quick recognition of whether volatility is low, moderate, or extreme.
**Label**: Shows the latest candle’s % change and the current SMA value as a floating label on the right, making it convenient for real-time monitoring.
This tool can be useful for volatility breakout strategies, day trading, and short-term momentum analysis.
Volatility - Sacred GeometryThis indicator is designed to pick up changes in volatility before it happens. It also shows current volatility, as price action drops the blue lines contract. The script uses the blue lines to locate spikes in volatility.
Example of dump revealing itself with plenty of notice.
Here large changes in price action are shown when the white lines spike. Traders can get a heads up on any pump or dump a few candles before it happens.
This example shows a low volatility channel vs high volatility channel. The blue lines expand as price range increases.
Trends can be discovered by studying the patterns.
* This indicator does not use sacred geometry, I just called it that because it looks like it. *
If anyone is interested in developing this indicator any further please get in contact.
Volatility SkewThis indicator measure the historical skew of actual volatility for an individual security. It measure the volatility of up moves versus down moves over the period and gives a ratio. When the indicator is greater than one, it indicators that volatility is greater to the upside, when it is below 1 it indicates that volatility is skewed to the downside.
This is not comparable to the SKEW index, since that measures the implied volatility across option strikes, rather than using historical volatility.
Volatility IndexThis is a composite volatility index to show percentile of current volatility compared to that of the last 52 bars. As this is a weekly chart (and this script is intended for usage on weekly charts) we can see the yearly percentile rank of volatility.
As shown when volatility is in the lower 25%tile (viewed on weekly) the market is calm and likes to rise; when the volatility is above the 25%tile you can see that the market tends to have larger and 'choppier' moves.
This is /not/ 'just the vix' this takes into consideration the volatility of all major US indexes including the SPX500, Dow 30, Nasdaq 100, and Russel 2000.
Please remember that this is just plotting:( volatility index - lowest(index,52) )/( highest(index,52)-lowest(index,52) ) so for 'yearly percentile' check the weekly chart (52 weeks = 1yr)
Volatility Index of Range Verification█ OVERVIEW
This is a volatility indicator created by extending concepts from Tushar Chande's Range Action Verification Index (RAVI).
█ CONCEPTS
This indicator constructs range of the RAVI indicator. It uses this range to build a histogram that represents how fast the range is changing, or a measure of volatility. A line is then constructed, either from a moving average or standard deviation depending on the settings that can serve as an action trigger.
█ INPUTS
• Fast MA Period: the period of the quickest moving average that is used to build the RAVI indicator line
• Slow MA Period: the period of the slowest moving average that is used to build the RAVI indicator line
• MA Type: the type of moving average to use, either Simple or Exponential
• Price Source: the type of price source to use; close, high, low, hlc3, etc.
• Lookback Period: how far back to construct the minimum and maximum of the range
• Standard Range: the standard range of the indicator. a smaller range will exaggerate differences in the columns, and vice-versa
• Volatility Period: the period used for the trigger line moving average
• Std. Deviation Mode?: Whether the trigger line will plot using a moving average or a multiple of Standard Deviation.
• Deviation Multiplier: How many deviations to use if the trigger line is in Std. Deviation Mode
Volatility Price TargetsPrints lines on the chart marking the price points for the standard deviation move using historical volatility. This script was born out of a need to easily spot target points for the wings of my Iron Condor Options trades. The study only shows on the Daily chart. Volatility is calculated based on the standard deviation of the daily returns of price. Price targets are calculated off yesterday's closing price and will not reprint.
Inputs
Days to Expiration - allow you to enter the number of days to expiration for the option, default is 30 for those monthly options traders but can be adjusted to your desire.
Standard Deviation - you can enter the number of deviations for which to calculate the price points 1,2, or 3.
Days in Year - you can adjust the number of days in the year used to calculate the daily volatility multiplier.
Volatility ForecasterThe indicator predicts periods of increased market volatility on 24 hours ahead, based on statistical data. It shows a time intervals, when it is better to give special attention to a market. Time, when the probability of market acceleration, momentum or a trend reversal becomes most likely. The idea is based on a simple logical conclusion – if the market was volatile in the same time periods in the past, then this will happen again in the future.
English - Full description and instruction
The indicator is useful for all markets. But especially for cryptocurrency, which, unlike stock market or forex, doesn’t have time-limited trading sessions and weekends. Therefore, statistical analysis is the only way to reliably determine periods of increased activity of market participants.
The indicator can't predict all volatility. But it provides a fairly accurate prediction of statistical volatility, - one that periodically occurs at the same time.
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Индикатор прогнозирует периоды повышенной волатильности рынка на 24 часа вперёд, основываясь на статистических данных. Он показывает временные интервалы при которых стоит уделить рынку повышенное внимание, когда вероятность ускорения рынка, импульса или перелома тренда, становится наиболее вероятным. Идея строиться на простом логическом выводе, - если рынок был волатилен в одни и те же временные периоды в прошлом, то это повторится в будущем.
Русский - Полное описание и инструкция
Индикатор полезен для всех рынков. Но особенно для криптовалютного, который в отличии от фондового или форекс не имеет ограниченных по времени торговых сессий и не рабочих дней. По этому, статистический анализ единственный способ надежно определить периоды повышенной активности участников рынка.
Индикатор не может предсказать всю волатильность. Но обеспечивает достаточно точное предсказание статистической волатильности, - такой которая периодически возникает в одно и то же время.
Volatility IntensifierThe background becomes increasingly dark during periods of high volatility.
...and yes, it can get completely black!
This makes it easier to identify areas that are "hot" with price action and appealing to trade.
Follow and comment to be added to the access to this indicator granted every Monday.
Like for more indicators! Thanks to all of my followers, you are the real MVP <3
To clarify; No, this indicator is based off of volatility, NOT volume :)
Volatility Based Momentum with MTF Screener by QTX Algo SystemsVolatility Based Momentum with MTF Screener by QTX Algo Systems
Overview
This indicator builds on our original Volatility Based Momentum tool by integrating a Multi Time Frame (MTF) Screener that provides real-time, cross-market momentum analysis. It dynamically adjusts momentum signals using adaptive volatility measurements, ensuring that signals reflect true market strength across various timeframes and assets.
How It Works
Core Momentum Analysis:
The indicator uses a double‐smoothed SMI combined with a Price – Moving Average Ratio (PMARP) to assess short-term momentum. These metrics filter out noise and generate per-candle signals based on sustained market energy.
Adaptive Volatility Measurement:
An adaptive volatility factor—derived from a Bollinger Band Width Percentile (BBWP) calculation—scales the momentum readings, ensuring that only strong signals in a sufficiently volatile market are considered.
MTF Screener Integration:
The MTF Screener scans multiple timeframes simultaneously, confirming that a momentum signal is consistent across different market views. This extra layer of screening reduces false signals and helps ensure that the detected momentum is robust and reliable.
Real-Time Visual Feedback:
Dynamic visual cues, such as color changes and signal markers, indicate when the momentum and volatility align, providing a clear, actionable overview.
Why It’s Different and Valuable
This indicator isn’t just a simple overlay of standard momentum and volatility measures—it’s a multi-layered system that verifies signals across multiple timeframes. The integrated MTF Screener provides broader context and cross-validation, making it a more dependable tool for confirming trend strength. This level of depth in analysis offers enhanced clarity and helps traders make more confident decisions compared to using conventional indicators in isolation.
How to Use
Review Per-Candle Signals: Observe the momentum signals generated on your chart and note when they are confirmed by the adaptive volatility measure.
Cross-Check with MTF Screener: Ensure that signals appear consistently across multiple timeframes before taking action.
Adjust Settings for Your Style: Customize the volatility threshold, and MTF settings to match your specific trading approach.
Integrate with Your Strategy: Use the insights from this indicator alongside other analysis tools to optimize your entry and exit points.
Disclaimer
This indicator is for educational purposes only and is intended to support your trading strategy. It does not guarantee performance, and past results are not indicative of future outcomes. Always apply proper risk management and conduct your own analysis before trading.
Volatility Percentile🎲 Volatility is an important measure to be included in trading plan and strategy. Strategies have varied outcome based on volatility of the instruments in hand.
For example,
🚩 Trend following strategies work better on low volatility instruments and reversal patterns work better in high volatility instruments. It is also important for us to understand the median volatility of an instrument before applying particular strategy strategy on them.
🚩 Different instrument will have different volatility range. For instance crypto currencies have higher volatility whereas major currency pairs have lower volatility with respect to their price. It is also important for us to understand if the current volatility of the instrument is relatively higher or lower based on the historical values.
This indicator is created to study and understand more about volatility of the instruments.
⬜ Process
▶ Volatility metric used here is ATR as percentage of price. Other things such as bollinger bandwidth etc can also be used with few changes.
▶ We use array based counters to count ATR values in different range. For example, if we are measuring ATR range based on precision 2, we will use array containing 10000 values all initially set to 0 which act as 10000 buckets to hold counters of different range. But, based on the ATR percentage range, they will be incremented. Let's say, if atr percent is 2, then 200th element of the array is increased by 1.
▶ When we do this for every bar, we have array of counters which has the division on how many bars had what range of atr percent.
▶ Using this array, we can calculate how many bars had atr percent more than current value, how many had less than current value, and how many bars in history has same atr percent as current value.
▶ With these information, we can calculate the percentile of atr percentage value. We can also plot a detailed table mentioning what percentile each range map to.
⬜ Settings
▶ ATR Parameters - this include Moving average type and Length for atr calculation.
▶ Rounding type refers to rounding ATR percentage value before we put into certain bucket. For example, if ATR percentage 2.7, round or ceil will make it 3, whereas floor will make it 2 which may fall into different buckets based on the precision selected.
▶ Precision refers to how much detailed the range should be. If precision set to 0, then we get array of 100 to collect the range where each value will represent a range of 1%. Similarly precision of 1 will lead to array of 1000 with each item representing range of 0.1. Default value used is 2 which is also the max precision possible in this script. This means, we use array of 10000 to track the range and percentile of the ATR.
▶ Display Settings - Inverse when applied track percentile with respect to lowest value of ATR instead of high. By default this is set to false. Other two options allow users to enable stats table. When detailed stats are enabled, ATR Percentile as plot is hidden.
▶ Table Settings - Allows users to select set size and coloring options.
▶ Indicator Time Window - Allow users to select particular timeframe instead of all available bars to run the study. By default windows are disabled. Users can chose start and end time individually.
Indicator display components can be described as below:
K's Volatility BandsVolatility bands come in all shapes and forms contrary to what is believed. Bollinger bands remain the principal indicator in the volatility bands family. K's Volatility bands is an attempt at optimizing the original bands. Below is the method of calculation:
* We must first start by calculating a rolling measure based on the average between the highest high and the lowest low in the last specified lookback window. This will give us a type of moving average that tracks the market price. The specificity here is that when the market does not make higher highs nor lower lows, the line will be flat. A flat line can also be thought of as a magnet of the price as the ranging property could hint to a further sideways movement.
* The K’s volatility bands assume the worst with volatility and thus will take the maximum volatility for a given lookback period. Unlike the Bollinger bands which will take the latest volatility calculation every single step of time, K’s volatility bands will suppose that we must be protected by the maximum of volatility for that period which will give us from time to time stable support and resistance levels.
Therefore, the difference between the Bollinger bands and K's volatility bands are as follows:
* Bollinger Bands' formula calculates a simple moving average on the closing prices while K's volatility bands' formula calculates the average of the highest highs and the lowest lows.
* Bollinger Bands' formula calculates a simple standard deviation on the closing prices while K's volatility bands' formula calculates the highest standard deviation for the lookback period.
Applying the bands is similar to applying any other volatility bands. We can list the typical strategies below:
* The range play strategy : This is the usual reversal strategy where we buy whenever the price hits the lower band and sell short whenever it hits the upper band.
* The band re-entry strategy : This strategy awaits the confirmation that the price has recognized the band and has shaped a reaction around it and has reintegrated the whole envelope. It may be slightly lagging in nature but it may filter out bad trades.
* Following the trend strategy : This is a controversial strategy that is the opposite of the first one. It assumes that whenever the upper band is surpassed, a buy signal is generated and whenever the lower band is broken, a sell signal is generated.
* Combination with other indicators : The bands can be combined with other technical indicators such as the RSI in order to have more confirmation. This is however no guarantee that the signals will improve in quality.
* Specific strategy on K’s volatility bands : This one is similar to the first range play strategy but it adds the extra filter where the trade has a higher conviction if the median line is flat. The reason for this is that a flat line means that no higher highs nor lower lows have been made and therefore, we may be in a sideways market which is a fertile ground for mean-reversion strategies.
Volatility Trend IndicatorThe Volatility Trade Indicator signals bullish / bearish trend based on the volatility of the underlying asset.
During bull markets, volatility is typically low and price moves occur slowly and steadily. During bear markets, volatility is typically high and price movement is much more volatile in both directions.
The Volatility Trade Indicator measures the volatility of the underlying asset in relationship to the historic volatility over a specific timespan.
Low volatility regimes are signaled in green with an indicator value of below 0, high volatility regimes are signaled in red with an indicator value above 0.
During low volatility regime you want to look for long entries, during high volatility regimes you want to look for short entries.
Volatility FilterOver the past few weeks (as of today, which is: 12th of October 2018) there has been little to no volatility in most of the major cryptocurrencies. What volatility does come in comes and goes very quickly. It's difficult to discern good and bad moments to be in a trade. As a result I decided to create a volatility filter based on Hurst exponent market phases, Bollinger Band width, moving averages, volume and the average true range. The results are the above.
You can use this indicator against any asset or within any market. It actually reaps excellent results against the DJI and XAUUSD One of my suggested uses for it is if you're scalping, only enter a position when there is volatility (when there's no background color present). If you're swinging, only enter a position when there's low volatility (when the red background color is present).
Another way to use it (although this isn't intended, just incidental) is to take a position in the direction of the first bar after the red background has gone/after low volatility has passed. So if we get a declining candle when we exit a low volatility zone, short. Otherwise long. This is the experimental side of it though.
However, this indicator won't tell you what direction to trade in, so in order to get use from it I suggest having a trend filter and a trigger. Luckily these two things are in most traders' arsenal. If not, take a look at my other script which is a timelessly brilliant trigger for buying and selling:
Something else to consider is that the volatility is relative. If we go through a period of incredibly high volatility then afterwards we can sometimes expect the volatility filter to plot a red background even though there is still acceptable volatility left in the market. The volatility at that point is much less than the volatility beforehand.
With all that said, this easy-to-read tool will help you avoid flat periods when scalping and, conversely, help you determine good times to enter a swing trade. For those who had difficulty trading the markets as of late due to volatility, this indicator is perfect for you
Access to the filter is provided for 10$, payable in most low-transaction-fee cryptocurrencies. Access is limited to 250 customers. For more information message me through TradingView or message @overttherainbow through Telegram.
Have a nice day and good luck trading.
Volatility-Volume Index (VVI)Volatility-Volume Index (VVI) – Indicator Description
The Volatility-Volume Index (VVI) is a custom trading indicator designed to identify market consolidation and anticipate breakouts by combining volatility (ATR) and trading volume into a single metric.
How It Works
Measures Volatility : Uses a 14-period Average True Range (ATR) to gauge price movement intensity.
Tracks Volume : Monitors trading activity to identify accumulation or distribution phases.
Normalization : ATR and volume are normalized using their respective 20-period Simple Moving Averages (SMA) for a balanced comparison.
Interpretation
VVI < 1: Low volatility and volume → Consolidation phase (range-bound market).
VVI > 1: Increased volatility and/or volume → Potential breakout or trend continuation.
How to Use VVI
Detect Consolidation:
Look for extended periods where VVI remains below 1.
Confirm with sideways price movement in a narrow range.
Anticipate Breakouts:
A spike above 1 signals a possible trend shift or breakout.
Why Use VVI?
Unlike traditional volatility indicators (ATR, Bollinger Bands) or volume-based tools (VWAP), VVI combines both elements to provide a clearer picture of consolidation zones and breakout potential.
Volatility GuppyBased on my previous script "Turtle N Normalized," this script plots the CM SuperGuppy on the value of N to identify changing trends in the volatility of any instrument.
Turtle rules taken from an online PDF:
"The Turtles used a concept that Richard Dennis and Bill Eckhardt called N to represent the underlying volatility of a particular market.
N is simply the 20-day exponential moving average of the True Range, which is now more commonly known as the ATR. Conceptually, N represents the average range in price movement that a particular market makes in a single day, accounting for opening gaps. N was measured in the same points as the underlying contract.
The Turtles built positions in pieces which we called Units. Units were sized so that 1 N represented 1% of the account equity. Thus, a unit for a given market or commodity can be calculated using the following formula:
Unit = 1% of Account/(N x Dollars per Point)"
To normalize the Unit formula, this script instead takes the value of (close/N). Dollars per point = 1 for stocks and crypto, but will change depending on the contract specifications for individual futures .
"Since the Turtles used the Unit as the base measure for position size, and since those units were volatility risk adjusted, the Unit was a measure of both the risk of a position, and of the entire portfolio of positions."
When the EMA's are green, volatility is decreasing.
When the EMA's are red, volatility is increasing.
When the EMA's are grey, the trend is changing.
Volatility BeltThe Volatility Belt is a Premium indicator which plots in the price chart a simple-to-read volatility color bar.
The indicator allows plotting multiple Volatility Studies, including:
Squeeze
Bollinger Bands Volatility
Volatility Index
TTM Squeeze
Historical Volatility
Additional volatility studies might be included down the road.
If you're interested in this one, please PM me.
Volatility IndexWhat is volatility and why does it matter?
Volatility is a measure of how much the price of an asset varies over time.
Volatility refers to the amount of uncertainity or risk about the size of changes in a finacial asset's value. A higher volatility means that the price of the asset can change dramatically over a short time period in either direction.
A lower volatility means that a financial asset's value does not fluctuate dramatically, but changes in value at a steady pace over a period of time.
How does the volatility gets calculated?
It uses the standard deviation of the closing price for the preceding selected period (i.e. 30, 60...) and plots the value in relative terms (%).
Volatility Strategy 01a quantitative volatility strategy (especially effective in trend direction on the 15min chart on the s&p-index)
the strategy is a rule-based setup, which dynamically adapts to the implied volatility structure (vx1!–vx2!)
context-dependent mean reversion strategy based on multiple timeframes in the vix index
a signal is provided under following conditions:
1. the vvix/vix spread has deviated significantly beyond one standard deviation
2. the vix is positioned above or below 3 moving averages on 3 minor timeframes
3. the trade direction is derived from the projected volatility regime, measured via vx1! and vx2! (cboe)
Volatility & Momentum Nexus (VMN)Volatility & Momentum Nexus (VMN)
This indicator was designed to solve a common trader's problem: chart clutter from dozens of indicators that often contradict each other. The Volatility & Momentum Nexus ( VMN ) is not just another indicator; it's a complete analysis system that synthesizes four essential market pillars into a single, clean, and intuitive visual signal.
The goal of VMN is to identify high-probability moments where a period of accumulation (low volatility) is about to erupt into an explosive move, confirmed by trend, momentum, and volume.
VMN analyzes the real-time confluence of four critical elements:
The Trend (The Main Filter): A 100-period Exponential Moving Average (EMA) sets the overall context. The indicator will only look for buy signals above this line (in an uptrend) and sell signals below it (in a downtrend). The line's color changes for quick visualization.
Volatility (Energy Accumulation): Using Bollinger Bands Width (BBW), the indicator identifies "Squeeze" periods—when the price contracts and builds up energy. These zones are marked with a yellow background on the chart, signaling that a major move is imminent.
Momentum (The Trigger): An RSI (Relative Strength Index) acts as the trigger. A signal is only validated if momentum confirms the direction of the breakout (e.g., RSI > 55 for a buy), ensuring we enter the market with force.
Volume (The Final Confirmation): No breakout move is credible without volume. VMN checks if the volume at the time of the signal is significantly higher than its recent average, adding a vital layer of confirmation.
Green Arrow (Buy Signal): Appears ONLY when ALL the following conditions are met simultaneously:
Price is above the 100 EMA (Bullish Trend).
The chart is exiting a Squeeze zone (yellow background on the previous bar).
Price breaks above the upper Bollinger Band.
RSI is above the buy threshold (default 55).
Volume is above average.
Red Arrow (Sell Signal): Appears ONLY when all the opposite conditions are met.
Do not treat signals as blind commands to trade. They are high-probability confirmations.
Look for signals near key Support/Resistance levels for an even higher success rate.
Always set a Stop Loss (e.g., below the low of the signal candle or below the lower Bollinger Band for a buy).
All parameters (EMA, RSI, Bollinger Bands lengths, thresholds, etc.) can be customized from the settings menu to adapt the indicator to any financial asset or timeframe.
Disclaimer: This indicator is a tool for educational and analytical purposes. It does not constitute and should not be interpreted as financial advice. Trading involves significant risk. Always perform your own analysis and backtesting before risking real capital.
Volatility Adjusted Grid [Gann]█ OVERVIEW
Gann Square of 9 is one of the many brilliant concepts from W.D.Gann himself where it revolves around the idea that price is moving in a certain geometrical pattern. Numbers on the Square of 9 spiral tables, especially those lie in every 45degree in the chart act as key vibration levels where prices have tendency to react to (more on the table below).
There are few square of 9 related scripts here in Tradingview and while there's nothing wrong with them, it doesn't address 1 particular issue that i have: The numbers can be too rigid even when scaled based on current price because the levels are fixed, which makes them not tradable on certain timeframes depending on where the price currently sitting.
Heres 5min and 1hour Bitcoin chart to illustrate what i mean: Grey line on the left is based on Volatility Adjusted levels, while red/blue on the right are the standard Gann levels.
You can see that on 1hour chart, it provides a good levels (both Volatility Adjusted and the standard one happened to share the same multiplier in this case),
1Hour Chart:
On 5 min chart tells a different story as the range between blue/red levels can be deemed as to big for a short term trade, while the grey line is adjusted to suit that particular timeframe (You can still adjust to make it bigger/smaller from the settings, more on this below)
5Min Chart:
█ Little bit on Gann Square of 9 table
This is the square of nine table, the numbers highlighted in Red are known as Cardinal Cross and considered to be a major Support/Resistance while those in Blue color are known as Ordinal Cross considered as minor (but still important) Support/Resistance levels
Similarly, this script use these numbers (and certain multipliers) to print out the levels, with Cardinal numbers represented by solid lines and Ordinal numbers by dotted lines.
█ How it Works and Limitations
The Volatility Adjusted grid will go through several iterations of different multipliers to find the Gann number range that is at least bigger than times ATR. Because it's using ATR to determine the range, occasionally you'll notice that the line become smaller as ATR contracting (and vice versa). To overcome this, you can change the size range multiplier from the settings to retrieve the previous range size.
Use the size guide at the bottom left to find the multiplier that suits your need:
1st Row -> Previous Range -- Change Range Size to number lower than this to get a smaller range
2nd Row -> Next Range -- Change Range Size to number higher than this to get a larger range
Example:
Before:
After:
As you'll soon realise, the key here is to find the range that fits the historical structure and suits your own strategy. Enjoy :)
█ Disclaimer
Past performance is not an indicator of future results.
My opinions and research are my own and do not constitute financial advice in any way whatsoever.
Nothing published by me constitutes an investment recommendation, nor should any data or Content published by me be relied upon for any investment/trading activities.
I strongly recommends that you perform your own independent research and/or speak with a qualified investment professional before making any financial decisions.
Any ideas to further improve this indicator are welcome :)
