Volume Crop ━ Hidden Volume Divergence [whvntr] Volume Divergence
• Formula originated from: "Hidden Price Divergence" (circles) by TheLark. I did two things to harness its
effectiveness:
• Firstly, I developed a unique way to filter out the divergence signals that were appearing on both sides of the
midline. This filter will be known as the "Midline Tool" . It filters out a lot of the false signals commonly
associated with oscillators.
• Then, I modified the default format from Price to Volume.
• The midline formula "Midline Tool" was developed by me . It adjusts in the thousands since it's volume.
Let me know in the comments if you would rater have a smaller step value than 10,000. How does it work?
Crossover then Crossunder, the arrows only appear during the first sign of hidden volume divergence once
crossing the midline. Normally, these signs appear on both side of the midline both bearish and bullish no
matter if it's on an oversold or overbought side of the spectrum... Also, let
me know in the comments if you would like for me to release an oscillator version of this
indicator for co-witnessing.
Features:
• Volume divergence
• Midline Tool©
• Disclaimer: This indicator does not constitute investment advice. Trade at your own risk with the investments
you can afford to lose because all financial investments have risks and this is not a
guarantee that the volume divergence will be 100% all the time.
Simple Moving Average (SMA)
Moving Average - fade when crossed [cajole]This indicator simply provides a moving average (SMA, EMA, etc. can be selected) which hides itself when touched by the price.
Two potential uses:
Set the growth rate to be slow, to highlight only very rapid moves on a chart.
Use the default settings and change the averaging period until the MA line remains bright. This MA can then act as a good trailing stop for the specific security.
TradingView does not remember indicator settings for specific charts. Consider adding a text label to your chart after you identify the ideal trailing stop. Similar trailing-stop methods are recommended by Kristjan Qullamagie is identical to Jesse Stine's "magic line" concept .
Ichimoku MA Up & DownIchimoku and MA use the default.
It is repainted because it uses a moving average line.
A marker is only true if it was created after the candle closed.
The principle is too simple.
Please enjoy using it.
- Up : Conversion Line > MA #1 and Base Line > MA #2
It is an uptrend. The short-term moving average should be above the conversion line. And the long-term should be above the Base Line.
- Down : Conversion Line < MA #1 and Base Line < MA #2
It's a downtrend. The short-term moving average should be below the conversion line. And the long-term should be below the Base Line.
You can get better results if you use a momentum indicator like RSI.
Thank you.
Tunable SWMADissected the standard SWMA function and added options for user to change just about every part of it. Weights ,Lookback ,Source can all be changed in the settings.
Green is the standard SWMA, Using the Input value selected.(MAs/LRC/VWAP)
Red is the tuned SWMA, with the option of applying a final Output filter (MAs/LRC/VWAP). Uses 8 datapoints instead of 4 for the default.
Customization can really help expand upon the standard SWMA I find. Enjoy tuning to your hearts content
Swing RibbonA configurable fast and slow moving average combined to help visualize the current trend and potential changes in trend.
Allows for specifying a fixed set of minutes or days instead of just bars so that the visualization is similar when changing time-frames.
MA20 Hi-Lo-Close Magic BandThis is an improvement over my previous MA20 High Low Magic Band, as it keeps a central 20 MA reference point. So it can help find the up from MA20 lows and down from MA20 highs resisted or supported by MA20 average before final entry. Usable in any time frame of choice - 15m, 30m, Hourly or Daily. In the Hourly / Daily time frame, the signal used with the volume data may work in 6/10 events or more ... Happy trading!
(E)Moving Average Ribbon High/LowThis is a slight modification of the standard Moving Average Ribbon. This script will take the 200 EMA and SMA with source the high and low, not the close.
This band will act as a support and resistance zone and should be used as a confluence with other indicators or support/resistance lines.
I got inspired to create this one, by the YT video "FINALLY! The 200 EMA Confluence Trading Strategy You’ve Been Waiting For" by The Secret Mindset.
In his video he takes only the 200EMA, but this script will take by default also the SMA into account.
In the settings you still can adapt as you wish ;-)
Happy trading!
RSI Influenced AverageUsing a couple of different ways of calculating (User selectable) the standard rsi oscillator is merged with a moving average for a slight variation. Plenty of options in the settings to play with like changing rsi length, MA length, lookback lengths, MA type, and much more. For Use with other moving averages ideally, or as a standalone indicator.
Shaikh Saab Ki MagarmachJab Magarmach bhuki ho jati hai to wo sabko kha jati hai chahe wo bulls ho ya bears.
IS 200EMABB long buy and sellThis script backtested some stocks, it's giving soft buy and strong buy signals,
I am using Bollinger band and 200 EMA,
Strong Buy :- If price is above 200 ema and cross over 10d ema and sma setup with BB,
Buy :- If price is below 200 ema and cross over 10d ema and sma setup with BB,
Strong Sell :- If price is below 200 ema and cross over ema and sma with input setup for BB
Sell :- If price is above 200 ema and cross over ema and sma with input setup for BB
Don't consider it as buy and sell call, do your own research ,i did it according to my experience and learning.
Thank you
End-pointed SSA of FDASMA [Loxx]End-pointed SSA of FDASMA is a modification of Fractal-Dimension-Adaptive SMA (FDASMA) using End-Pointed Singular Spectrum Analysis. This is a multilayer adaptive indicator.
What is the Fractal Dimension Index?
The goal of the fractal dimension index is to determine whether the market is trending or in a trading range. It does not measure the direction of the trend. A value less than 1.5 indicates that the price series is persistent or that the market is trending. Lower values of the FDI indicate a stronger trend. A value greater than 1.5 indicates that the market is in a trading range and is acting in a more random fashion.
See here for more info:
Fractal-Dimension-Adaptive SMA (FDASMA) w/ DSL
What is Singular Spectrum Analysis ( SSA )?
Singular spectrum analysis ( SSA ) is a technique of time series analysis and forecasting. It combines elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. SSA aims at decomposing the original series into a sum of a small number of interpretable components such as a slowly varying trend, oscillatory components and a ‘structureless’ noise. It is based on the singular value decomposition ( SVD ) of a specific matrix constructed upon the time series. Neither a parametric model nor stationarity-type conditions have to be assumed for the time series. This makes SSA a model-free method and hence enables SSA to have a very wide range of applicability.
For our purposes here, we are only concerned with the "Caterpillar" SSA . This methodology was developed in the former Soviet Union independently (the ‘iron curtain effect’) of the mainstream SSA . The main difference between the main-stream SSA and the "Caterpillar" SSA is not in the algorithmic details but rather in the assumptions and in the emphasis in the study of SSA properties. To apply the mainstream SSA , one often needs to assume some kind of stationarity of the time series and think in terms of the "signal plus noise" model (where the noise is often assumed to be ‘red’). In the "Caterpillar" SSA , the main methodological stress is on separability (of one component of the series from another one) and neither the assumption of stationarity nor the model in the form "signal plus noise" are required.
"Caterpillar" SSA
The basic "Caterpillar" SSA algorithm for analyzing one-dimensional time series consists of:
Transformation of the one-dimensional time series to the trajectory matrix by means of a delay procedure (this gives the name to the whole technique);
Singular Value Decomposition of the trajectory matrix;
Reconstruction of the original time series based on a number of selected eigenvectors.
This decomposition initializes forecasting procedures for both the original time series and its components. The method can be naturally extended to multidimensional time series and to image processing.
The method is a powerful and useful tool of time series analysis in meteorology, hydrology, geophysics, climatology and, according to our experience, in economics, biology, physics, medicine and other sciences; that is, where short and long, one-dimensional and multidimensional, stationary and non-stationary, almost deterministic and noisy time series are to be analyzed.
Included:
Bar coloring
Alerts
Signals
Loxx's Expanded Source Types
Fractal-Dimension-Adaptive SMA (FDASMA) w/ DSL [Loxx]Fractal-Dimension-Adaptive SMA (FDASMA) w/ DSL is a fractal-dimension-index-adaptive SMA. The SMA is accelerated during a trend and slowed down during a sideways market, so as to avoid false signals. This indicator uses the fractal dimension to compute an ingest period length into the SMA to output the FDASMA.
What is the Fractal Dimension Index?
The goal of the fractal dimension index is to determine whether the market is trending or in a trading range. It does not measure the direction of the trend. A value less than 1.5 indicates that the price series is persistent or that the market is trending. Lower values of the FDI indicate a stronger trend. A value greater than 1.5 indicates that the market is in a trading range and is acting in a more random fashion.
What are DSL Discontinued Signal Line?
A lot of indicators are using signal lines in order to determine the trend (or some desired state of the indicator) easier. The idea of the signal line is easy : comparing the value to it's smoothed (slightly lagging) state, the idea of current momentum/state is made.
Discontinued signal line is inheriting that simple signal line idea and it is extending it : instead of having one signal line, more lines depending on the current value of the indicator.
"Signal" line is calculated the following way :
When a certain level is crossed into the desired direction, the EMA of that value is calculated for the desired signal line
When that level is crossed into the opposite direction, the previous "signal" line value is simply "inherited" and it becomes a kind of a level
This way it becomes a combination of signal lines and levels that are trying to combine both the good from both methods.
In simple terms, DSL uses the concept of a signal line and betters it by inheriting the previous signal line's value & makes it a level.
Included
2 Signal types
Alerts
Loxx's Expanded Source Types
Bar coloring
Variety MA Cluster Filter [Loxx]Variety MA Cluster Filter is one method of creating a low-lag digital filter. This is done by calculating two moving averages and then comparing their output to the past value of the combined output and then choosing the max and min between the two moving averages to then determine the combined output. I've included standard deviation filtering for smoothing.
What is a Standard Deviation Filter?
If price or output or both don't move more than the (standard deviation) * multiplier then the trend stays the previous bar trend. This will appear on the chart as "stepping" of the moving average line. This works similar to Super Trend or Parabolic SAR but is a more naive technique of filtering.
Included
Bar coloring
Signals
Alerts
Loxx's Expanded Source Types
Loxx's Moving Averages
STD- and Clutter-Filtered, Non-Lag Moving Average [Loxx]STD- and Clutter-Filtered, Non-Lag Moving Average is a Weighted Moving Average with a minimal lag using a damping cosine wave as the line of weight coefficients. The indicator has two filters. They are static (in points) and dynamic (expressed as a decimal). They allow cutting the price noise giving a stepped shape to the Moving Average. Moreover, there is the possibility to highlight the trend direction by color. This also includes a standard deviation and clutter filter. This filter is a FIR filter.
What is a Generic or Direct Form FIR Filter?
In signal processing, a finite impulse response (FIR) filter is a filter whose impulse response (or response to any finite length input) is of finite duration, because it settles to zero in finite time. This is in contrast to infinite impulse response (IIR) filters, which may have internal feedback and may continue to respond indefinitely (usually decaying).
The impulse response (that is, the output in response to a Kronecker delta input) of an Nth-order discrete-time FIR filter lasts exactly {\displaystyle N+1}N+1 samples (from first nonzero element through last nonzero element) before it then settles to zero.
FIR filters can be discrete-time or continuous-time, and digital or analog.
A FIR filter is (similar to, or) just a weighted moving average filter, where (unlike a typical equally weighted moving average filter) the weights of each delay tap are not constrained to be identical or even of the same sign. By changing various values in the array of weights (the impulse response, or time shifted and sampled version of the same), the frequency response of a FIR filter can be completely changed.
An FIR filter simply CONVOLVES the input time series (price data) with its IMPULSE RESPONSE. The impulse response is just a set of weights (or "coefficients") that multiply each data point. Then you just add up all the products and divide by the sum of the weights and that is it; e.g., for a 10-bar SMA you just add up 10 bars of price data (each multiplied by 1) and divide by 10. For a weighted-MA you add up the product of the price data with triangular-number weights and divide by the total weight.
What is a Clutter Filter?
For our purposes here, this is a filter that compares the slope of the trading filter output to a threshold to determine whether to shift trends. If the slope is up but the slope doesn't exceed the threshold, then the color is gray and this indicates a chop zone. If the slope is down but the slope doesn't exceed the threshold, then the color is gray and this indicates a chop zone. Alternatively if either up or down slope exceeds the threshold then the trend turns green for up and red for down. Fro demonstration purposes, an EMA is used as the moving average. This acts to reduce the noise in the signal.
What is a Dual Element Lag Reducer?
Modifies an array of coefficients to reduce lag by the Lag Reduction Factor uses a generic version of a Kalman velocity component to accomplish this lag reduction is achieved by applying the following to the array:
2 * coeff - coeff
The response time vs noise battle still holds true, high lag reduction means more noise is present in your data! Please note that the beginning coefficients which the modifying matrix cannot be applied to (coef whose indecies are < LagReductionFactor) are simply multiplied by two for additional smoothing .
Included
Bar coloring
Loxx's Expanded Source Types
Signals
Alerts
Clutter-Filtered, D-Lag Reducer, Spec. Ops FIR Filter [Loxx]Clutter-Filtered, D-Lag Reducer, Spec. Ops FIR Filter is a FIR filter moving average with extreme lag reduction and noise elimination technology. This is a special instance of a static weight FIR filter designed specifically for Forex trading. This is not only a useful indictor, but also a demonstration of how one would create their own moving average using FIR filtering weights. This moving average has static period and weighting inputs. You can change the lag reduction and the clutter filtering but you can't change the weights or the numbers of bars the weights are applied to in history.
Plot of weighting coefficients used in this indicator
These coefficients were derived from a smoothed cardinal sine weighed SMA on EURUSD in Matlab. You can see the coefficients in the code.
What is Normalized Cardinal Sine?
The sinc function sinc (x), also called the "sampling function," is a function that arises frequently in signal processing and the theory of Fourier transforms.
In mathematics, the historical unnormalized sinc function is defined for x ≠ 0 by
sinc x = sinx / x
In digital signal processing and information theory, the normalized sinc function is commonly defined for x ≠ 0 by
sinc x = sin(pi * x) / (pi * x)
What is a Generic or Direct Form FIR Filter?
In signal processing, a finite impulse response (FIR) filter is a filter whose impulse response (or response to any finite length input) is of finite duration, because it settles to zero in finite time. This is in contrast to infinite impulse response (IIR) filters, which may have internal feedback and may continue to respond indefinitely (usually decaying).
The impulse response (that is, the output in response to a Kronecker delta input) of an Nth-order discrete-time FIR filter lasts exactly {\displaystyle N+1}N+1 samples (from first nonzero element through last nonzero element) before it then settles to zero.
FIR filters can be discrete-time or continuous-time, and digital or analog.
A FIR filter is (similar to, or) just a weighted moving average filter, where (unlike a typical equally weighted moving average filter) the weights of each delay tap are not constrained to be identical or even of the same sign. By changing various values in the array of weights (the impulse response, or time shifted and sampled version of the same), the frequency response of a FIR filter can be completely changed.
An FIR filter simply CONVOLVES the input time series (price data) with its IMPULSE RESPONSE. The impulse response is just a set of weights (or "coefficients") that multiply each data point. Then you just add up all the products and divide by the sum of the weights and that is it; e.g., for a 10-bar SMA you just add up 10 bars of price data (each multiplied by 1) and divide by 10. For a weighted-MA you add up the product of the price data with triangular-number weights and divide by the total weight.
Ultra Low Lag Moving Average's weights are designed to have MAXIMUM possible smoothing and MINIMUM possible lag compatible with as-flat-as-possible phase response.
What is a Clutter Filter?
For our purposes here, this is a filter that compares the slope of the trading filter output to a threshold to determine whether to shift trends. If the slope is up but the slope doesn't exceed the threshold, then the color is gray and this indicates a chop zone. If the slope is down but the slope doesn't exceed the threshold, then the color is gray and this indicates a chop zone. Alternatively if either up or down slope exceeds the threshold then the trend turns green for up and red for down. Fro demonstration purposes, an EMA is used as the moving average. This acts to reduce the noise in the signal.
What is a Dual Element Lag Reducer?
Modifies an array of coefficients to reduce lag by the Lag Reduction Factor uses a generic version of a Kalman velocity component to accomplish this lag reduction is achieved by applying the following to the array:
2 * coeff - coeff
The response time vs noise battle still holds true, high lag reduction means more noise is present in your data! Please note that the beginning coefficients which the modifying matrix cannot be applied to (coef whose indecies are < LagReductionFactor) are simply multiplied by two for additional smoothing .
Things to note
Due to the computational demands of this indicator, there is a bars back input modifier that controls how many bars back the indicator is calculated on. Because of this, the first few bars of the indicator will sometimes appear crazy, just ignore this as it doesn't effect the calculation.
Related Indicators
STD-Filtered, Ultra Low Lag Moving Average
Included
Bar coloring
Loxx's Expanded Source Types
Signals
Alerts
The Hummingbird - MA Ribbon by Joe (EMA, SMA, SMMA, WMA, VWMA)Tired of having to add multiple moving average indicators to your chart? Well, stop doing that. No, really. Listen. Adding duplicate indicators is totally not cool. And, it won't go over well at the next HOA meeting if you keep doing it.
Here's the sweet moving average ribbon you've been waiting for (with 1-10 moving average lines!). It will make your charts look much cooler 😎. And you'll gain the respect of all your neighbors if you add it to your charts.
In all seriousness, this is a slimmed-down version of my other super-awesome script with a stupid name, "Joe's Ultimate MA Ribbon (w/ Crossover Triggers)."
Basically, I removed the crossover signals from it and changed the name to a much superior name, "The Hummingbird."
Yeah. Right on. So, if you don't want or need the crossover signals, go right on humming with "The Hummingbird."
Enjoy, friends. 🍻
If you still want the original ribbon with crossover signals, get it here .
Options:
Show/Hide MA Lines: Only show the lines you wanna see. No more. No less.
MA Type (can be different for each line!): EMA , SMA , SMMA (RMA), WMA , VWMA
MA Source (for each line): open, close, high, low, hl2 , hlc3, ohlc4, hlcc4
MA Length (for each line): any number between 1 and 4999
Line Colors: Ooh, pretty.
MARKAY MOVING AVERAGESMarkay Moving Averages
EMA's
5 - RED
10 - NAVY
20 - TEAL
50 - GREEN
SMA's
100 - ORANGE
200 - RED
Jay Multi SMAIt's strategy of swing & positional trades.. It's based on the concept of crossing of SMA with there diff length...
Percent above or Below Moving Average Candle colourFilter:
If green candle is 'x' % above moving average than colour of candle is turn in blue colour.
If red candle is 'x' % below moving average than colour of candle is turn in orange colour.
MFTA - Multi Timeframe AnalysisThis indicator plots moving averages from higher timeframes for increasing the probability of a successful trade without using multiple charts for the same ticker.
You can configure the desired higher timeframe (i.e. if you are using a 1 min chart you can plot the 5 Min time frame moving averages).
CL PMAThis is and indicator Using SMAs of the High+Low+Close/3 pivot point strategy outlines by Mark Fisher. This indicator is meant to be used as another layer adding confirmation to the ACD system. I mostly use this script to track Crude Oil ( CL ) but it can be used for many other products . However, this indicator is most useful in volatile markets.
This is not meant to be used as a primary indicator but rather third level of confirmation after ACD and Number lines outlined by Mark Fishers system.
CL PMAPivot moving averages useing SMA's. This study is just a tweak from the study already done by @QUANTCT. I just cleaned it up and used SMAs instead of EMAs so he deserves most credit.