Squeeze Momentum Oscillator [AlgoAlpha]🎉📈 Introducing the Squeeze Momentum Oscillator by AlgoAlpha 📉🎊
Unlock the secrets of market dynamics with our innovative Squeeze Momentum Oscillator! Crafted for those who seek to stay ahead in the fast-paced trading environment, this tool amalgamates critical market momentum and volatility indicators to offer a multifaceted view of potential market movements. Here's why it's an indispensable part of your trading toolkit:
Key Features:
🌈 Customizable Color Schemes: Easily distinguish between bullish (green) and bearish (red) momentum phases for intuitive analysis.
🔧 Extensive Input Settings: Tailor the oscillator lengths for both Underlying and Swing Momentum to match your unique trading approach.
📊 Dedicated Squeeze Settings: Leverage precise volatility insights to identify market squeeze scenarios, signaling potential breakouts or consolidations.
🔍 Advanced Divergence Detection: Utilize sophisticated algorithms to detect and visualize both bullish and bearish divergences, pointing towards possible market reversals.
📈 Hyper Squeeze Detection: Stay alert to high-momentum market movements with our hyper squeeze feature, designed to extremely suppressed market volatility.
🔔 Comprehensive Alert System: Never miss a trading opportunity with alerts for momentum changes, squeeze conditions, and more.
Quick Guide to Using the Squeeze Momentum Oscillator:
🛠 Add the Indicator: Add the indicator to your favourites. Adjust the oscillator and squeeze settings to suit your trading preferences.
📊 Market Analysis: Keep an eye on the squeeze value and momentum z-score for insights into volatility and market direction. Hyper Squeeze signals are your cue for high momentum trading opportunities.
🔔 Alerts: Configure alerts for shifts in underlying and swing momentum, as well as entry and exit points for squeeze conditions, to capture market moves efficiently.
How It Works:
The Squeeze Momentum Oscillator by AlgoAlpha synergistically combines the principles of momentum tracking and market squeeze detection. By integrating the core logic of the Squeeze & Release indicator, it calculates the Squeeze Value (SV) through a comparison of the Exponential Moving Average (EMA) of the Average True Range (ATR) against the high-low price EMA. This SV is further analyzed alongside its EMA to pinpoint squeeze conditions, indicative of potential market breakouts or consolidations. In addition to this, the oscillator employs Hyper Squeeze Detection for identifying extremely low volatility. The momentum aspect of the oscillator evaluates the price movement relative to EMAs of significant highs and lows, refining these observations with a z-score normalization for short-term momentum insights. Moreover, the incorporation of divergence detection aids in identifying potential reversals, making this oscillator a comprehensive tool for traders looking to harness the power of volatility and momentum in their market analysis. The combination of the Squeeze & Release and the Momentum Oscillator allows traders to time their trades with more precision by entering when the market is in a squeeze and front running the volatility of a major move.
Elevate your trading strategy with the Squeeze Momentum Oscillator by AlgoAlpha and gain a competitive edge in deciphering market dynamics! 🌟💼 Happy trading!
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Triple Moving Averages + RSI Divergence + Trade Creator [CSJ7]This indicator uses triple moving averages to identify the prevailing trend, and calculates the linear regression of the closing price, and of the RSI, to either confirm the current trend direction, or to identify a potential trade reversal. Additionally, it includes a trade management tool that allows you to rate your trade setup according to your selected entry minimums and preferences, plus you obtain an estimated P&L with profitability metrics of your trade.
The key features are:
Dashboard : Includes entry/exit amounts, prices, quantities, estimated Profit & Loss, ROI, ROE, RRR, insights into market trends, entry conditions, and operational logs.
Trade Setup : Allows you to design your trade in detail. Select entry/exit levels, and let the tool suggest optimal target levels based on your ROI and RRR preferences. Specify your desired stop-loss type, and the tool will present the corresponding price.
Entry Conditions Management : Customize your trade entry prerequisites within the settings. The system evaluates these, offering a Trade Rating and displaying current values and entry statuses in the Entry Conditions table.
Trade Box : Visualize your trade strategy with a trade box that shows in alongside your chart, highlighting potential profit/loss zones and entry price points.
RSI & Close Price Linear Regressions : Calculates the linear regression of RSI and the close prices, since the beginning of the current trend, and presents them directly in the chart and alongside the active trend, to allow you to spot a potential trend continuation or reversal.
Adaptive price levels : The tool calculates the viability, trade rating and P&L based on contextual levels, like moving averages and highest or lowest prices, instead of using fixed prices; this allows for the results to adapt dynamically to market fluctuations, eliminating the need for manual recalibrations and adjustments.
Automatic Trade Side Detection : While manual input is available, the tool can intuitively determine the optimal trade side based on current data.
Market Outlook Events : By using the crossings of the three averages, the tool keeps track of the evolution of the current trend, providing points of interest like when the initial momentum is observed, when the trend initiates, when a potential entry zone starts, when a buy or sell opportunity arises and when the trend ends.
Alerts : You can set up two distinct alerts – one notifies on trend milestones and another for trade initiation conditions. Note: Manual activation is required in the Tradingview dashboard.
Logs : The tool provides a log section where you can find relevant information regarding the operation and any encountered errors via the dashboard's log section.
Usage
Choose your desired ticker and timeframe. If a tradable trend is detected and levels are set correctly, the trade box appears. Incorrect levels will trigger a warning in the error logs.
The tool will suggest the logical trade side, but manual adjustments are possible.
Customize ROI, maximum loss, and RRR in the settings. When in 'Auto', the tool will calculate the target price accordingly.
Adjust leverage to align with your risk and reward parameters.
View linear regressions for trend analysis and spotting RSI divergences.
Manage position sizing and risk in the settings, accounting for broker/exchange fees.
Activate alerts for trade notifications.
Enable 'Show Trade Levels' in settings to get the details of the necessary limit orders for the trade.
In the image below, you can view the expanded Trade Creator Dashboard, the Trade Box, and the Linear Regression Lines:
The linear regression lines are colored red when trending downward and green when trending upward.
The labels displaying information related to the entry and exit prices can be hidden, as demonstrated in the image above.
Implied Correlation Divergence OscillatorImplied Correlation Divergence Oscillator (ICDO)
ICDO uses an SMA calculation as a low-pass filter to determine divergences from trend. This can be useful for multiple strategies, including detecting overbought or oversold trends, and finding dispersion opportunities, including zero delta straddle plays using options for indices and single assets within the S&P 500 Index.
The aim of the oscillator is to provide a unique perspective on the existing signals provided by the CBOE (Chicago Board Options Exchange)
First choose from a variety of Implied Correlation symbols including: COR1M, COR3M, COR6M, COR9M, COR1Y, COR10D, COR30D, COR70D, COR90D
Then once an IC signal is chosen, configure the moving average (MA) as a customized low-pass filter that will determine the sensitivity of the divergence signal.
The resulting signal is an oscillator around the zero bound, which is color coded for bullish (green), or (bearish) signals.
Goethe A - Multiple Leading Indicator PackageGoethe A is an Indicator Package that contains multiple leading and lagging indicators.
The background is that shows the local trend is calculated by either two Moving Averages or by a Kumo Cloud. By default the Kumo Cloud calculation is used.
What are those circles?
-These are OBV (or VPT, can be set in the options) Divergences. Red for Regular-Bearish. Orange for Hidden-Bearish. Green for Regular-Bullish. Aqua for Hidden-Bullish.
What this middle line?
-The middle line is calculated by a smoothed Heikin-Ashi indicator. I can be used as a dynamic zone of support and resistance. Many times this indicator is used as entry signal giver in trend following strategies.
What are those background lines?
-The background contains a simple Daily Pivots indicator. This indicator can be read as zones of Support and Resistance that updated based on the used timeframe.
What is this smaller thin grey line?
-This is a very simple Stoploss indicator based on Donchian Channels. The trade direction is based and calculated by the local trend (background color)
What are those small orange or aqua triangles?
- These are Pivots . They show when the OBV or wolfpack oscillators (or a double confirmation of both) might reverse, this is important to know because many times the price action follows this move.
What are those purple triangles?
- These are Pivots . They show when the PVT oscillator might reverse, this is important to know because many times the price action follows this move.
What are those big orange or aqua triangles?
- These are TSI (true strength indicator) entry signals . They are calculated by the TSI entry signal, the TSI oscillator treshold and in conjunction with the overall local trend (background color).
What are those white squares?
- These are Overbought or Oversold regions of the build-in RSI bands indicator. Every time the price crosses one of the RSI bands those squares are printed. Most of the time this happens after a move and indicates that this strong move has come to an end.
Most settings of the indicator package can be modified to your liking and based on your chosen strategy might have to be modified. Please keep in mind that this indicator is a tool and not a strategy, do not blindly trade signals, do your own research first! Use this indicator in conjunction with other indicators to get multiple confirmations.
MFI Divergence Indicator Our Developer Malin converted the built-in RSI divergence indicator to MFI (Money Flow Index).
How to apply?
Notice 1: MFI, unlike the RSI, incorporates volume. It thus is an indicator of a higher precision when it comes to finding the the moment to sell - or - the moment to enter.
Notice 2: In Ranging Markets MFI (and RSI) is a solid momentum indicator to buy or sell. The asset displayed shows a slight markdown. Thus, we are looking primarily for short positions. Once can tell by us omitting the first 2 hidden bearish divergence signals and then entering the market.
Notice 3: Divergences depend on pivot points. The drawback with pivot points is that it is a lagging indication of a potential reversal. The more time (bars) one takes to confirm a reversal the less profitable is the trade - but less risky. In the charts one can tell that we enter the market 5 bars later. Usually that is not the tip of the reversal.
Notice 4: One must adapt the left and right periods of the indicator to risk/reward ratio, length of swing / frequency modulation and volatility of the price action.
Credits: Credits go to the Tradingview Team for delivering the original code. And Malin for the conversion. Please keep the copy right as a courtesy.
Moving Average Convergence DivergenceA MACD with option for logarithmic or regular scale.
This indicator presents bullish or bearish 'flags' based on the most recent signal cross and asset price divergence. If the price moves up and the macd continues trending down, a bearish divergence is flagged. if the price moves down and the macd continues moving up, a bullish divergence is flagged.
Price Acceleration Convergence Divergence V2This is a fork of the previous PACD indicator i made by working out the RSI another two times. it works the exact same but is more leading in trend reversals and divergences.
this indicator plots 4x the RSI of the RSI of the price using the derivatives of RSI. Data is plotted just like the MACD.
points 5 and -5 are very strong support/resistance points and should be very important points to take note of.
use this indicator like the MACD essentially with the assistance of a 4x RSI momentum. enjoy
RSI Div at Daily VWAP StDevMean Reversion indicator based on RSI Divergences at Overbought/Oversold conditions with Price above/below a Standard Deviation from Daily VWAP. Useful for intra-day trading.
Signal criteria:
1. RSI is at Overbought/Oversold
2. RSI Divergence present (not hidden)
3. RSI has not reached Neutral level (i.e. 50)
4. Price has crossed above/below a Standard Deviation from Daily VWAP
Config Options:
- RSI length (default:14)
- Divergence Lookback Period (default:14)
- RSI Oversold/Overbought tresholds (default: 70/30)
- RSI Reset Level (default: 55/45)
- Use VWAP Std Dev (default: yes)
- Standard Deviation from Daily VWAP (default: 1.51)
Use with discretion.
MA MTF Momentum HistogramMy own interpretation indicator which i call multi time frame moving averages momentum with NO LAG EMA support (Optional).
The indicator is calculated by subtracting the long-term EMA from the short-term EMA .
This pretty much resembles the MACD moving averages calculation but without the smoothing of the histogram.
Can also be used to find divergences.
The background shows the main trend with higher time frame which can be set in the settings.
Aimed to use with Higher time frame (Double or more) but can also work with lower time frame.
How to use the indicator?
==Histogram==
Green: Momentum of asset is positive and increasing.
Lighter Green: Momentum of asset is still positive but decreasing and can revert to negative momentum.
Red: Momentum of asset is negative and increasing.
Lighter Red: Momentum of asset is still negative but increasing and revert to positive momentum.
==Background Color - Main Trend==
Green: HTF (Higher time frame) momentum is positive.
RED: HTF momentum is negative.
Feel free to comment and Follow to stay updated with upcoming scripts: www.tradingview.com
NOTE: BARS ARE COLORED BY DEFAULT WITH HISTOGRAM COLORS! (Can be changed in settings)
CSRSCandlesticked RSI for price action traders!
See the True Momentum.
You can smooth RSI to remove noises and also find divergences.
fully customizable.
unRekt - KISS MarsieMarsie is an EMA-RSI indicator and part of the 'keeping it simple' series that have a similar color scheme. The RSI 'Relative Strength Index' is a momentum oscillator, measuring the velocity and magnitude of directional price movements. it is measured from 0 - 100 with 30 and 70 being low "oversold" and high "overbought" conditions. It is also commonly used to determine bullish or bearish divergences.
The EMA aspect is the 'Exponential Moving Average' which has had the RSI calculation added to it and acts a signal line when the RSI crosses it for buy and sell opportunities.
Double MACD Buy and SellIndicator for strategy that was used in a Forex competition and was a winner. Use double MACD with custom settings, search video on YouTube:
Learn Five Powerful MACD Trading Strategies
Add some tools to analyze the market context a little more:
- Detector of regular and hidden divergences.
- Atlas Zone (detects consolidation that is about to generate a movement)
- Choppines zone configurable (detects if the market is stable or not)
Visualization of entries in trend and counter-trend according to the rules described in the video.
Buy and sell alerts.
Note: I do not recommend using only this indicator as an investment strategy, it is another tool that must be complemented with a market study by the trader.
Stochastic DivergenceSimple Stochastic Divergence.
Bullish - Price hits new low, Stoch at higher low (under 20).
Bearish - Price hits new high, Stoch hits lower high (above 80).
Bullish divergence displays green background with lime cross.
Bearish divergence displays pink background with red cross.
Options:
Adjust Stoch Length
Adjust Lookback period for lowest lows and highest highs
Triangular Price Divergence Oscillator [DW]This is an experimental study designed to show discrepancies in price using the formula S(a/$) = S(a/b)*S(b/$).
For example: EUR/USD = (EUR/GBP)(GBP/USD), USD/JPY = (USD/CHF)(CHF/JPY), etc.
NOTE: If the pairs you entered do not fit this criteria, the results are invalid.
Different Charting types deliver different divergences.
Triangular Price Divergence [DW]This is an experimental study designed to show discrepancies in price using the formula S(a/$) = S(a/b)*S(b/$).
For example: EUR/USD = (EUR/GBP)(GBP/USD), USD/JPY = (USD/CHF)(CHF/JPY), etc.
NOTE: If the pairs you entered do not fit this criteria, the results are invalid.
Different Charting types deliver different divergences.
[RS]Volume Price ChangeEXPERIMENTAL
calculates, price change * volume over a specific time window.
It reflects trend, momentum and volume participation.
It can be used to find divergences.
SMT Divergence [TakingProphets]The SMT (Smart Money Technique) Divergence indicator identifies potential market manipulation and smart money footprints by comparing price action between correlated instruments. It uses a dual-detection system to catch both frequent local SMTs and larger structural SMTs:
• Primary detection uses a shorter lookback period (default 5) to identify common SMT patterns
• Secondary detection uses a longer lookback period (default 8) to catch larger structural SMTs
• Automatically filters significant moves to prevent noise
• Labels are placed clearly outside of price action for better visibility
• Toggle between showing all SMTs or only significant liquidity sweeps
Compare any two instruments to spot divergences in their price action. Particularly useful for:
- Futures vs Spot markets
- Related currency pairs
- Index vs its components
- Any correlated instruments
Default settings are optimized for intraday trading but can be adjusted for different timeframes.
Note: This indicator works best when comparing closely correlated instruments and should be used alongside other technical analysis tools.
Discovery IndexThe Discovery Index is an original technical indicator which attempts to display directional market pressure and momentum based on accumulated candle-over-candle measurements.
Discovery , in this context, is the act of finding (discovering) New Highs and Lows.
> What is 'Discovery'
Not to be confused with "Price Discovery", the term for setting the spot price of an asset.
The term 'Discovery' in Discovery Index is used based on the literal definition of 'Discovery', such as, the action of finding what was previously unknown.
Given this definition,
Discovery is the difference between highs or lows only when the current high is higher than the previous high or the current low is lower than the previous low.
Below is a visual example of exactly where Discovery is seen from each candle.
Since discovery is only based on points of the candle, and not specifically the direction of the candle; it is possible for discovery to occur in both directions from the same candle.
It is also possible for no discovery to occur from a candle.
> Calculation
The Discovery Index is the Net Total of discovery data over a specified length of bars.
Discovery Index = Sum of Upwards Discovery + Sum of Downwards Discovery
Note: Upwards Discovery is always Positive, and Downwards Discovery is always Negative. By adding both together, their Net Total is produced. This value is the "Discovery Index".
Wick Calculation Example
> Volume Discovery
Using Volume for the Discovery Index Calculation allows for a different dimension to be added to the data for new analysis opportunities.
While volume data is only a single value, by accumulating this data over time, we are able to fabricate a candle body from the data by accounting for the direction of the chart candles.
This allows for the Calculation of the Discovery Index based on volume data.
Volume Example
> Display
The display uses a "Candlestick histogram" display. The bodies and wicks from the display represent the discovery data from the respective points in each candle. (Wick Discovery & Candle Body Discovery).
This style of histogram allows for the display of both data sources, preserving the accuracy and distinction between each type, while also providing a clean display.
> Considerations
Discovery index is not an Oscillator, since there are no upper or lower boundaries to its rotations.
There are not (at this time) any "Over-bought" or "Over-sold" Areas, this is partially due to the previous consideration since any levels for these could potentially change from chart to chart. Additionally, it would generally be better to read the data based on the context of the current market.
Non-directional movements effect the Discovery Index as well. Since Discovery does not occur from every bar, the Index reflects hesitations as well as movements in market direction.
With the option to input a symbol, the Discovery Index Indicator is not constrained to one chart ticker for its calculation and could help to see shifts between different symbols, making it easier to compare different assets.
With the separation of wicks and candle body data, a stronger move may be observed by its full-bodied movements, while a potentially more speculative move may be seen from large wick movements. Since wicks are often interpreted as either, Rejection for reversal OR as Testing for continuation, the interpretation for Wick Discovery generally varies based on context.
Discovery Index ⇾ Divergences! Due to its calculation, price (and/or volume) data is displayed in such a way that makes it useful as a tool for identifying divergence opportunities.
Remember, this indicator is lookback based. An immediate significant change from the data source (if not offset by a similar opposite change) will be represented for multiple bars after its occurrence. Due to this, data is likely to be skewed or biased from these occurrences for a period of time after.
Throughout development, "Discovery" has been shortened to just "Disco", therefore, this indicator is also an attempt to bring Disco Back.
Enjoy!
Adaptive MACD [LuxAlgo]The Adaptive MACD indicator is an adaptive version of the popular Moving Average Convergence Divergence (MACD) oscillator, returning longer-term variations during trending markets and cyclic variations during ranging markets while filtering out noisy variations.
🔶 USAGE
The proposed oscillator contains all the elements within a regular MACD, such as a signal line and histogram. A MACD value above 0 would indicate up-trending variations, while a value under 0 would be indicating down-trending variations.
Just like most oscillators, our proposed Adaptive MACD is able to return divergences with the price.
As we can see in the image above ranging markets will make the Adaptive MACD more conservative toward more cyclical conservations, filtering out both noise and longer-term variations. However, when longer-term variations (such as in a trending market) are prominent the oscillator will conserve longer-term variations.
The R2 Period setting determines when trending/ranging markets are detected, with higher values returning indications for longer intervals.
The fast and slow settings will act similarly to the regular MACD, however, closer values will return more cyclical outputs.
The image above compares our proposed MACD (top) with a regular MACD (bottom), both using fast = 19 and slow = 20 .
🔶 DETAILS
It is common to be solely interested in the trend component when the market is trending, however, during a ranging market it is more common to observe a more prominent cyclical/noise component. We want to be able to preserve one of the components at the appropriate market conditions, however, the regular MACD lack the ability to preserve cyclical component with high accuracy.
The MACD is an IIR bandpass filter. In order to obtain a lower passband bandwidth and a more symmetrical magnitude response (which would allow to conserve more precise cyclical variations) we can directly change the system calculation:
y = (price - price ) × g + ((1 - a1) + (1 - a2)) × y - (1 - a1) × (1 - a2) × y
where:
a1 = 2/(fast + 1)
a2 = 2/(slow + 1)
g = a1 - a2
Using division instead of multiplication on the second feedback weight allows further weighting the 2 samples lagged output, returning a more desirable magnitude response with a higher degree of filtering on both ends of the spectrum as shown in the image below:
We are interested in conserving cycles during ranging markets, and longer-term variations during trending markets, we can do this by interpolating between our two filter coefficients:
α × + (1 - α) ×
where 1 > α > 0 . α is measuring if the market is trending or ranging, with values closer to 1 indicating a trending market. We see that for higher values of α the original coefficient of the MACD is used. The image below shows various magnitude responses given multiple values of α :
We use a rolling R-Squared as α , this measurement has the benefit of indicating if the market is trending or ranging, as well as being constrained within range (0, 1), and having a U-shaped distribution.
If you are interested to learn more about the MACD see:
🔶 SETTINGS
R2 Period: Calculation window of the R-Squared.
Fast: Fast period for the calculation of the Adaptive MACD, lower values will return more noisy results.
Slow: Slow period for the calculation of the Adaptive MACD, higher values will return result with longer-term conserved variations.
Signal: Period of the EMA applied to the Adaptive MACD.
4x Stochastic Dingue4 Stochastic indicator into 1.
Different lengths produce short-term and long-term indicators that can help with finding the trend and impulses within the trend.
It can also find reversal points when all 4 are at the extreme at the same time. Ex. All 4 Stoch are above 90 or under 10 !! This could signal a bottom or top is soon to happen. (This is not always true as it depends on many factors.)
Many visual options make it even more customizable. Fill between Stoch, background colors, Crosses.
Divergences are not always accurate, depending on settings and timeframe, but they can be useful in certain situations.
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In closing, no indicator can give perfect signals, you need to use them in conjunction with other information to make better decisions.
I hope you like my indicators and that they help your trading.
If you have any questions please ask.
Thank you.
[JL] Relative Strength Index - Divergence AlertThis script displays rsi divergence alert.
Only compare two bottom/top.
Top: RSI decrease and high increase
Bottom: RSI increase and low decrease.
Warning: Please don't only use this signal to trade. Divergences are always early signals need to be confirmed.
Stochastic Weighted RSI w/ Divergence + Signals🐢 Tawtis' Stochastic Weighted Relative Strength Index , aka SWRSI
This indicator combines the Stochastic RSI and the classic RSI we all know and love to create a more effective indication of seller/buyer dominance, and in turn, trend. I have named it the "Stochastic Weighted RSI". The script also includes a standard RSI, so you can use both at the same time!
Loads of customisation, pretty much every input can be changed to fit your preferences, however, the default settings are what I would personally recommend for the best results. Either way, feel free to change them!
By looking at the indicator, you can also establish the trend that may follow in the candles to come.
Typically, an indicator reading of over 70 is considered overbought, and an indicator reading of under 30 is considered oversold.
The calculations for the SWRSI and its signals take into account a multitude of exponential moving averages, a Stochastic RSI and a classic RSI, among other things.
There are 2 types of signals provided by the indicator, being strong and weak. You do not have to follow these, and they aren't always accurate (it's impossible to be accurate 100% of the time), however, they can give a good idea of the trend that will ensue.
Strong buy signals are created when:
SWRSI is under 30
SWRSI is over the EMA (default 2) of the SWRSI
Short EMA (default 20) is under the long EMA (default 50)
Strong sell signals are created when:
SWRSI is over 70
SWRSI is under the EMA (default 2) of the SWRSI
Short EMA (default 20) is over the long EMA (default 50)
Weak buy and sell signals are printed as green and red background highlights, and operate the same as the strong buy and sells, without the short/long EMA criterion. Both of these signal types can be toggled off using the settings if you do not want to see them.
Enjoy!
ATRCD, Average True Range Convergence DivergenceATRCD calculates a MACD over the Average True Range, therefore helping traders to spot momentum in volatility.
The Average True Range is a measurement of the average candle size over a period of time, i.e. when the candles are small, the ATR is low. ATR measures volatility .
The MACD is a momentum indicator. It measures market momentum based on the average closing prices over a period.
Therefore, using the MACD calculation over the ATR we get a measurement of momentum in volatility . The ATRCD is a concept at this point. I was curious to see whether such an indicator could provide any edge trading the markets. Because this is a MACD of the ATR the same concepts can be applied, e.g. spotting divergences, momentum trends, etc. Please be careful however, this indicator only looks like the MACD but it measures volatility and not price momentum . Maybe this can help traders confirm breakouts using price action?
Applying this indicator to the 12h of BTC/USDT we can see that we could be nearing a volatility expansion with a divergence on the histogram, and an ATRCD crossover.
BINANCE:BTCUSDT
