Short Term Bubble RiskThis risk indicator uses the extension of the closing price to the 20W SMA and displays a color-coded risk oscillator. The higher the oscillator is, the greater the short-term risk and vice-versa. This indicator has historically worked well for estimating the short-term risk of Bitcoin and Ethereum on a weekly timeframe.
Média Móvel Simples (MMS)
Centred Moving AverageBased around the Centered Moving Average as published by Vailant-Hero this script is revised and improved to aid with execution time & server load. For full description follow the link as above, as Valiant-Hero explains the idea perfectly well.
While the original script worked fine for small values of length, once length was extended significantly or chart timeframe set to short values then the script is prone to exceeding computation requirements. The original script was attempting to delete and re-draw (length x 3) lines on the chart for each tick. In addition to server load, once length is greater than 167 (500/3) then the first drawn lines start disappearing, so the predicted values no longer appear connected to the offset averages calculated from the candle data. A further error resulted with larger values of "length" and future data selected, in that the script would try and move lines more than 500 bars into the future.
Improvements and major code changes
All values for the predicted moving average lines are calculated from a single run through of the data, rather than having to loop back through the data "length" times (and then through it again "length" times if you selected double moving average). Each loop also inefficiently calculated the sum of "length" values by recalling each one individually.
Number of lines are thus reduced so that we're never attempting to plot more than "max_lines_count" onto the chart. User is able to select the granularity of the lines - more sections will mean a smoother line but at the expense of processing speed.
No matter the combination of "length" and the selected granularity of the lines, no line will be drawn if its endpoint would be more than 500 bars in the future.
Code for "Double SMA" only affected the predicted data values, rather than affecting the historic calculations (and standard deviation calcs) as well as the predictions. This has been included and results in much smoother lines when "Double Moving Average" is selected.
Striped lines for the predicted values - firstly to make it obvious where the "predictions" begin, and also because they look funky.
Crossing TableCrossing Table V1
I created this indicator as it had been asked for a number of times to create a crossover/under table screen and here it is!!!
The indicator is set up to be selected from SMA, EMA and Volume.
The SMA is defaulted to 2/10 but it is customizable to whatever SMA you choose to use.
Volume is based off a volume formula and the volume settings in the indicators settings, and the table will show either buyers/sellers on the last candle on the volume in the settings.
Just like the SMA the EMA option will be based off the default value of 5/13 but can be customized to your choosing.
If there are any question or comments just let me know :)
Exponential Bollinger Bands (EBB)This script is a variation of the popular Bollinger Bands indicator, which uses exponential moving averages (EMA) instead of simple moving averages (SMA) as its core calculation. The indicator is designed to provide a visual representation of volatility, with the distance between the upper and lower bands being determined by the standard deviation of the underlying data.
The script starts by defining a number of helper functions that are used to calculate the moving averages and standard deviations required for the indicator. The first helper function is sma(), which calculates the simple moving average of the input data over a specified length. This function uses linear interpolation to smooth the data when the length is not an integer. The stdev() function calculates the standard deviation of the input data using the simple moving average calculated by the sma() function.
The bes() function calculates the exponential moving average of the input data over a specified length. The estdev() function calculates the standard deviation of the input data using the exponential moving average calculated by the bes() function.
The estdev function calculates the standard deviation using an exponential moving average method, rather than the traditional simple moving average method used by the stdev function. The exponential moving average method gives more weight to recent data, which can make the estdev more responsive to recent changes in volatility. This can make it more useful in certain types of analysis, such as identifying trends in volatility. Additionally, it also uses the same EMA algorithm to calculate the average value of the data set, which can help to keep the output of the estdev and average functions consistent.
The script also defines two more helper functions, average() and standard_deviation(), which allow the user to switch between using simple moving averages (SMA) and exponential moving averages (EMA) as the basis for the indicator. These functions take three arguments, the input data, the length of the moving average, and a string that specifies whether to use SMA or EMA.
The script then defines the input parameters for the indicator. The user can choose whether to use SMA or EMA as the basis for the indicator using the select parameter. The user can also specify the length of the moving average and the multiplier for the standard deviation using the length and multiplier parameters, respectively.
Finally, the script calculates the average and standard deviation of the input data using the selected method (SMA or EMA), and plots the upper and lower bands of the indicator. The upper band is calculated as the average plus the standard deviation multiplied by the specified multiplier, while the lower band is calculated as the average minus the standard deviation multiplied by the specified multiplier.
Price Barrier I1-PBIdea:
This script combines: Parabolic SAR, Stochastic RSI and MA
SAR is used to determine the price direction of an asset, as well as draw attention to when the price direction is changing.
Combine Stochastic RSI to point out the strength of the SAR signals.(Of course the setting for Stochastic RSI in this script is customized).
Then using MA to calculate and plot.
The plot line of this script at the center line and draw 2 line with offset to the center line.
Concept:
(Note that we take the close to get the closing price)
-SAR provides series of dots placed either above or below the price bars. A dot below the price is deemed to be a bullish signal.
-Stochastic RSI with its crossing of K and D line, last crossing of K and D will be recognized as crossing point. The direction of latest points will be current trend also in some case value above 80 is Over Buy and below 20 is Over Sell.
-So how could we present the domain line? (The domain line are two line with background color filled) Using the deviation from the MA as the baseline, we will draw two lines with 2 distinct points, then color them. We will call them price barrier. There are 4 plot MA, 2 for above and 2 for below.
-Strength of barrier calculation based on SAR and RSI mentioned above.
How it works:
1. The price barrier (domain line) displays above and below bar which could be resistance or support for current bar.
- Yellow means the soon/week signal.
- Green below bar means the support barrier.
- Red above bar mean the resistance barrier.
2. This indicator provides a warning signal when the color of the price barrier changes.
- Above barrier's color:
+Turn red: "Down Red"
+Turn yellow: "Down Yellow"
- Below barrier's color:
+Turn green: "Up Green"
+Turn yellow: "Up Yellow"
Suitable time frames:
4h, 1D, 1W
* Please note that this logic does not attempt to predict future prices or 100% accurate signal.
(INVITE ONLY indicator. Please direct message or visit website if you want to try it out)
Hope you guys enjoy!
Examples:
BTCUSD 4H
XAUUSD 1D
EURUSD 1D
AAPL 1D
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
Colored Moving Averages With Close Signals[Whvntr][TradeStation]Plots the first time the close price is above or below the colored portion of the chosen MA. The MA's formula is from TradeStation's indicator: "Colored Moving Averages Can Help You Spot Trends" . I modified that indicator with customizations that include: Buy and Sell signals. Each time the current bar closes above the MA, while it's red (bearish), there's a Sell label at the start of that MA trend. Likewise: each time the current bar closes below the MA, while it's white (bullish), there's a Buy label at the beginning of that MA trend. You can now, also, easily see which MA you are selecting by hovering your cursor over the tooltips icon. I've included a modified Hull MA as default because I've found this SMA combination with the WMA to be a very smooth oscillation. I've also added some different types of MA's. Colored moving averages are helpful to determine when a trend may be reversing.
MA's
1 · Modified Hull MA: (SMA of the WMAs Hull Formula)
2 · Hull MA
3 · Exponential Moving Average
4 · Weighted Moving Average
5 · RMA Moving Average used in RSI
6 · Volume Weighted MA
7 · Simple Moving Average
This indicator isn't endorsed as a guarantee of future, favorable, results.
Price Cross ━ [whvntr]This oscillator is an attractive way to view hidden price divergence... The formula originated from the Lark, but I have cleanly displayed this information. When the two moving averages (ema) cross with a simple moving average, you find the hidden price divergence. What kind of market should you use this in? It works well when a trend is already established.
Disclaimer: This indicator does not constitute investment advice. Trade at your own
risk with this method of identifying hidden price divergence.
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.
[MAD] Moving Average RibbonsThis is a Ribbon builder tool that allows customization and display of multiple moving averages (MAs) on a chart.
The available MAs include simple, exponential, linear, weighted and many more.
You can set a range for the length of each MA and adjust the multiplicator of the range for the second MA.
A mixer for combining the two MAs is also available, and you can specify a range for the mixing.
Choose the number of Ribbons to display and toggle dynamic coloring on or off.
Enable single plots and one average plot as needed.
If more than 20 LMA's are calculated, especially when using bigger lengths, a timeout error may occur as the maximum runtime is limited to 20s/40s.
have fun
Odd_Moving AveragesMulti Moving Average Analysis
A highly customizable indicator to help discover moving averages being used in the market.
📈 Chart up to 15 Moving Averages in the same indicator
⏳ Changeable time frame resolution
Ⅲ Available types - Simple, Weighted, Volume-weighted
≡ Custom and pre configured length sets
🪄 Automatic hiding of moving averages a set % away from last price
🌈 14 selectable color sets for plot lines
🗻 Selectable themed legend of values
-Removes hidden values
-Selectable density of data
⇄ Selectable chart data locations
Probability Weighted Moving AverageThe Probability Weighted Moving Average uses a log-normal (continuous) distribution to calculate the probabilities of a range of lengths MAs to assess their performances, and respectively assign weights to a mean of this range. This assumes that the values of the MAs (call it A) aren't normally distributed, but instead log(A) is normally distributed, which can be a fair assumption. In P(t, t+X) where X is the number of trades assessed, it assumes the probability is not dependent on t and independent of previous price.
For P(t, t+X), the higher the value of X, the more trades are assessed.
Range of lengths comes in slow (default) or fast. Faster MAs are not preferable and should be limited to HTFs.
The color code can be either weighted (where lighter shades of blue suggests faster values have more weight, and darker shades suggest slower values have more weight) or coded for bull/bear: green when bullish, red when bearish.
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.
Socrate's Golden SMA 21, 55, 233
------------------ ENGLISH
Hello,
I offer you my set of simple moving averages based on the fibonacci sequence: 21, 55 and 233. They are calculated in a rather special way which makes them more relevant;)
White for the 21
Blue for the 55
Yellow for the 233
These moving averages are formidable to use both intraday and long term.
------------------ FRANCAIS
Bonjour,
Je vous propose mon set de moyennes mobiles simples basées sur la suite de fibonacci : 21, 55 et 233. Elles sont calculées d'une manière un peu particulière ce qui permet d'en renforcer la pertinence ;)
Blanc pour la 21
Bleu pour la 55
Jaune pour la 233
Ces moyennes mobiles sont redoutables à l'utilisation tant en intraday qu'en long terme.
Socrate
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
