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.
Cerca negli script per "Divergence"
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
MF RSIUsing built-in code from Divergence Indicator I've created the MF RSI indicator.
A great way to combine two great indicators and divergence.
A alert condition is available on a potential reversal MFI crosses RSI on overbought or oversold.
Directional Trend Index (DTI) Strategy This technique was described by William Blau in his book "Momentum,
Direction and Divergence" (1995). His book focuses on three key aspects
of trading: momentum, direction and divergence. Blau, who was an electrical
engineer before becoming a trader, thoroughly examines the relationship between
price and momentum in step-by-step examples. From this grounding, he then looks
at the deficiencies in other oscillators and introduces some innovative techniques,
including a fresh twist on Stochastics. On directional issues, he analyzes the
intricacies of ADX and offers a unique approach to help define trending and
non-trending periods.
Directional Trend Index is an indicator similar to DM+ developed by Welles Wilder.
The DM+ (a part of Directional Movement System which includes both DM+ and
DM- indicators) indicator helps determine if a security is "trending." William
Blau added to it a zeroline, relative to which the indicator is deemed positive or
negative. A stable uptrend is a period when the DTI value is positive and rising, a
downtrend when it is negative and falling.
CCI Extreme and OBV DivergenceThis is my second set of two indicators combined utilize Multi time frame analysis of 5 minutes and 15 minutes.
CCI:
Green = uptrending
Red = downtrending
Bright Green = overbought, look to go SHORT
Bright Red = oversold, look to go LONG
OBV:
this use to predict the market direction buy drawing trend line.
It is also very good indicator to sport Smart Money moment. When price move higher but OBV trend lower, smart money is taking profit and reversing their position, look to go Short to you spot this type of divergence.
Also else already not there is no holy grail indicator so I also use this set of indicator to improve the signal
[RS][JR]RSI Ribbon + CandleRSI Ribbon + Candle
By Ricardo Santos and JR
In this chart rendering we are combining RSI and Moving Averages. For an added features we included colors to the candles and ribbons. Lime and green displays a strong bullish trend, yellow is caution or no trade, red and maroon are bearish trends. You can also find divergences using the ribbon.
Divergence
Mawreez' Aggregated DivergencesAutomatically detect regular and hidden divergences in multiple oscillators and visualize them through creative use of the histogram plot. I've open-sourced the code behind the indicator so that any user or their tech-savvy friend may easily add more oscillators of their choice.
Known bugs:
When two divergences occur within the same lookback period, only the first one is found.
There is some overhead when searching for tops and bottoms.
The oscillator and price source are still allowed to cross the trendline connecting their respective tops and bottoms.
Planned features:
Some mechanism to warn for divergences which are still awaiting confirmation.
More sophisticated method for finding tops and bottoms.
True stock performance based on EY Bar divergenceI created this indicator to be used in conjunction with my other indicator "True stock performance based on Earnings Yield". I've detailed in that description how true performance is calculated. In short it measures how much EY is moving in relation to the stock price. The theory is that if stock price is moving heavily while EY isn't you have a sentiment driven trend and the stock isn't traded on fundamentals.
This indicators marks bars when stock performance divergences from true performance.
Green upward triangle = The true performance closes lower than previous while stock price is closing higher. This indicates a optimistic sentiment as stock price is pushed up even though price based on EY is moving down.
Red downward triangle = The true performance closes higher than previous while stock price closing lower. This indicates a negative sentiment as stock price is pushed down even though price based on EY is moving up.
How do I use it?
I use it to confirm when sentiment has taken taken over a stock. If you have a fair uptrend (when both stock performance and true performance are doing higher highs), optimistic divergencies are welcome. I've used NVIDIA from 2017 to 2019 to demonstrate.
But if true performance starts to make lower highs while stock performance keeps going up and you see optimistic divergencies, you can tell that the market is getting overoptimistic.
When the stock had crashed it eventually bottomed and started to make higher lows together with an uptrend of true performance, which I count as a fair uptrend. Regardless of that you start to see some negative divergencies indicating that people are scared that the stock will drop again and oversell. These opportunities can be good places to buy more.
But i don't care about earnings, I'm a technical trader. Do i have any use for it?
You possibly could, yes. If you want to follow the crowd, optimistic divergencies confirms that the market is still interested in the stock and may keep pushing the price up. But be careful. Negative divergencies almost never marks any tops, it often confirms downtrends and may indicate bottoms. Often the optimistic divergencies marks the top so don't buy more blindly using this indicator.
MACD AreaThis indicator calculates and displays the cumulative area for each region above and below the zero line in the MACD histogram. This area measurement serves as a momentum metric, where larger cumulative areas indicate stronger momentum. Divergences between the area and price can also potentially indicate an impending reversal. For example, when the stock price makes a higher high but the area makes a lower high, the current momentum may be unsustainable.
Strength Comparison @joshuuuexample:
if you want to find the stronger/weaker pair between eurusd and gbpusd, what you can do is check the eurgbp charts. if eurgbp is bullish, that means, that longs longs on eurusd are better than on gbpusd.
Unfortunately, there is no such thing to compare for example usoil with ukoil, or us100 with us500.
That's where this indicator comes in handy. You can choose whatever two symbols you want, that are supported by tradingview and you will get a chart, which shows symbol1/symbol2.
Now you can use normal market structure, or the ema option, to find out the stronger symbol.
This can also help predicting the so called SMT Divergences, taught by ICT.
⚠️ Open Source ⚠️
Coders and TV users are authorized to copy this code base, but a paid distribution is prohibited. A mention to the original author is expected, and appreciated.
⚠️ Terms and Conditions ⚠️
This financial tool is for educational purposes only and not financial advice. Users assume responsibility for decisions made based on the tool's information. Past performance doesn't guarantee future results. By using this tool, users agree to these terms.
(Very promising) [Abdullah Ahmed] Momentum indicator V.1Description: MOM-LRC is a powerful technical analysis indicator designed to provide traders with signals based on the momentum of an asset's price and its deviation from its mean value. The indicator calculates the exponential RSI and uses a custom function to determine the percentage change from the mean. The upper and lower bands of the momentum channel are then calculated using linear regression of the rate of change from the mean. The channel multiplier can be adjusted to increase or decrease the sensitivity of the indicator.
How to use :
1 - Using MOM-LRC , look for buy signals when the price of the asset is below the lower border of the channel and retracing up. The opposite is true in the case of sell signals.
2 - It is also used in the case of negative and positive divergences, just as you use RSI
The indicator can be used on any time frame and any asset, making it a versatile tool for traders of all levels.
features:
Calculates exponential RSI and percentage change from the mean
Uses linear regression to calculate upper and lower bands of momentum channel
Adjustable channel multiplier for increased sensitivity
Suitable for any time frame and any asset
Happy trading!
Stochastic Moving Average Convergence Divergence (SMACD)This is my attempt at making a Stochastic MACD indicator. To get this to work I have introduced a DC offset to the MACD histogram output. I figured that if theirs a Stochastic RSI their might as well be a Stochastic everything else! lmao enjoy. Honestly, from what I can tell it's even faster than Stochastic Smooth RSI.
The Stochastic Oscillator (STOCH) is a range bound momentum oscillator. The Stochastic indicator is designed to display the location of the close compared to the high/low range over a user defined number of periods. Typically, the Stochastic Oscillator is used for three things; Identifying overbought and oversold levels, spotting divergences and also identifying bull and bear set ups or signals
MACD is an extremely popular indicator used in technical analysis. MACD can be used to identify aspects of a security's overall trend. Most notably these aspects are momentum, as well as trend direction and duration. What makes MACD so informative is that it is actually the combination of two different types of indicators. First, MACD employs two Moving Averages of varying lengths (which are lagging indicators) to identify trend direction and duration. Then, MACD takes the difference in values between those two Moving Averages (MACD Line) and an EMA of those Moving Averages (Signal Line) and plots that difference between the two lines as a histogram which oscillates above and below a center Zero Line. The histogram is used as a good indication of a security's momentum
OBV+EMA HistogramHistogram of the difference between On Balance Volume and an EMA of the On Balance Volume (OBV + EMA).
Using a 55 EMA, on the daily timeframe of BTC, bull/bear trends occur when the histogram is above/below the zero line respectively.
Divergences also have a notable effect.
-- Added alert conditions when OBV crosses EMA to signal a possible trend change, for bullish and bearish cases.
Bogdan Ciocoiu - MoonshotDescription
Moonshot is an indicator that encapsulates the value delivered by the TSI, MACD, Awesome Oscillator and CCI algorithms to produce signals to enable users to enter positions in ideal market conditions. Moonshot integrates the value delivered by the above four algorithms into one script.
This indicator is particularly useful when trading continuation/reversal divergence strategies.
Uniqueness
The Moonshot's uniqueness stands from integrating the above algorithms into the same visual area and leveraging preconfigured parameters suitable for 1-3 minute scalping techniques.
In addition, Moonshot allows swapping or furthermore configuring the above four algorithms in such a way to align signals by colour-coding or shape thickness to aid the users with identifying any emerging patterns quicker.
Furthermore, Moonshot's uniqueness is also reflected in the way it has standardised the outputs of each algorithm to look and feel the same (including the scale at which the shapes are shown) and, in doing so, enables users to plug them in/out as needed.
Open-source
The indicator leverages the following open-source scripts/algorithms:
www.tradingview.com
www.tradingview.com
www.tradingview.com
www.tradingview.com
Relative Strength Index - Divergences, Stoch, Reverse StochThis is aggregation of RSI indicators - RSI, Divergences, Reverse & Stochastic RSI
Thanks to ©JayTradingCharts and ©mohanee for the RSI Divergences code
Thanks to BApig - Motgench, balipour and Wugamlo for the reverse stoch code
Changes:
1. Add option to calc divs based on close or wicks or both (RSI is close based)
2. Add pivots (marking local high/low)
3. Update to Pine v5
4. Cleanup of unused code
OBV+OBV with an extra twist.
Add up to 4 moving averages and choose from simple, exponential, smoothed, etc.
Choose to display a trend fill. Fill will be green when above the MA4 or red when below it. If the difference between the MA1 and MA4 is growing, the trend fill will be a more solid color indicating a strengthening trend. If the gap is lessening, it will gradually get more transparent indicating a weakening trend.
Finally, options to display bullish and bearish regular and hidden divergences are included.
+ %UMAIf you are familiar with the %B for use with Bollinger Bands, then you will understand this indicator immediately.
Designed for use with my +UMA moving average, this works in exactly the same way, with a few differences.
First off, as you can choose on which type of moving average the calculations are made, so too you will want to match this up with the one you are using. That of course goes for the standard deviation as well (just like you would with Bollinger Bands and %B). Here, because the +UMA uses highs and lows to create a sort of moving average channel, and then also to create the bands, I've opted to set the inner part of the bands as the extreme edge that the %UMA equates with the upper and lower lines.
I've added a moving average, donchian channels, and auto-plotted divergences as well, if you like. Typical color related stuff that I do. Alerts for everything.
Hope you like it!
The above image is comparing two of the same indicator, but based on different moving averages, and how it might plot divergences differently between the two.
On Balance VolumeEnhanced the original OBV (On Balance Volume) indicator:
- Draw max lines of OBV in the last 30 candles so that we can notice the trend, as well as divergences easier.
- If you use fiat as base currency (USDT in cryptocurrency for example), we can display the OBV in fiat, so that we can compare total trading volume across a list of symbols to find healthy symbols to trade easier.
