Simple Moving Average - ATR Trailing StopThe old adage goes "Cut losers fast and let the winners run"
With this in mind, this will plot a dynamic trailing stop by subtracting any multiplier of the Average True Range (ATR) from the SMA of your choice.
Sma
FALSE BREAKOUT NO PROBLEM !! CHK TWIN MOV AVG SEGREGATED RIBBON PROBLEM DEFINITION 1 : To Avoid False Breakouts
PROBLEM DEFINITION 2 : To Ascertain if the trend has changed when a Stock opens with a Gap up or Gap Down
## PROBABLE SOLUTION : Use a Moving Average with lot of latency
## PROBLEM WITH ABOVE SOLUTION : Misses on lot of trades, Late exits leads to drain on winning trades
S O L U T I O N
An Indicator which plots two different types of Moving Averages at the same time
For the MA length 5-100 a fast plot of choice
For the MA Length 110-200 a plot with a lag to ascertain the trend
And then ONE LAST MAN STANDING with even bigger MA length for a lagging indicator to save the day
This indicator gives one 9X9 = 81 Permutation Combinations to look at the markets
One can devise strategies basis if one particular MA Type has crossed another MA Type
Feel free to post the strategies you have come out with!
//// CREDITS AND ACKNOWLEDGEMENTS //////////////////////////////////////////////////////////////////
Following contributors helped the author ::
Credits to Neobutane for his Multiple Type Mov. Avg. Guppy at ......
hxxps://www.tradingview.c0m/script/UQAv1U0c-MA-Study-Different-Types-and-More-NeoButane/
Credits to Jose5770 for sharing Jurik MA code at .....
hxxps://www.tradingview.c0m/script/uqYvkHna-Trend-Direction-Force-Index/
Appreciate and Thank You for sharing your work.
//////////////////////////////////////////////////////////////////////////////////////////////////////
P.S You might notice in the code that the few plots are skipped. It is done to fasten the indicator without compromising
on the functionality
unRekt - KISS CrossKISS Cross is a moving average crossover and is part of the ''keeping it simple' series that have a similar color scheme. With this indicator you can select the moving average you'd like to use either SMA, EMA, WMA, or VWMA. Each moving average can be turned on or off and input changed. The first two MA's will change color on the cross from green to red depending on cross up or a cross down.
Functions Allowing Series As Length - PineCoders FAQ█ WARNING
Improvements to the following Pine built-ins have deprecated the vast majority of this publication's functions, as the built-ins now accept "series int" `length` arguments:
ta.wma()
ta.linreg()
ta.variance()
ta.stdev()
ta.correlation()
NOTE
For an EMA function that allows a "series int" argument for `length`, please see `ema2()` in the ta library by TradingView .
█ ORIGINAL DESCRIPTION
Pinescript requires many of its built-in functions to use a simple int as their period length, which entails the period length cannot vary during the script's execution. These functions allow using a series int or series float for their period length, which means it can vary on each bar.
The functions shared in this script include:
Rolling sum: Sum(src,p)
Simple moving average: Sma(src,p)
Rolling variance: Variance(src,p)
Rolling standard deviation: Stdev(src,p)
Rolling covariance: Covariance(x,y,p)
Rolling correlation: Correlation(x,y,p)
If p is a float then it is rounded to the nearest int .
How to Use the Script
Most of the functions in the script are dependent on the Sma function. The Correlation function uses the Covariance and Stdev functions. Be sure you include all the required functions in your script.
Make sure the series you use as the length argument is greater than 0, else the functions will return na . When using a series as length argument, the following error might appear:
Pine cannot determine the referencing length of a series. Try using max_bars_back in the study or strategy function.
This can be frequent if you use barssince(condition) where condition is a relatively rare event. You can fix it by including max_bars_back=5000 in your study declaration statement as follows:
study("Title",overlay=true,max_bars_back=5000)
Example
The chart shows the Sma , Stdev , Covariance and Correlation functions. The Sma uses the closing price as input and bars as period length where:
bars = barssince(change(security(syminfo.tickerid,"D",close ,lookahead=true)))
The Stdev uses the closing price as input and bars + 9 as period length. The Covariance and Correlation use the closing price as x and bar_index as y , with bars + 9 as period length.
Look first. Then leap.
CryptoBandsGuru MultiColor Bollinger BandsHere are my Bollinger Bands that come with 2 std dev bands and a variety of moving averages. The bands can have shading between the bands and the middle section can be shaded.
Moving Averages include:
SMA
EMA
Weighted
Hull
Symmetrical
Volume Weighted
Wilder
Right now my 2 favorites are the Hull with a std dev of .5 and the Wilder with a std dev of 1.7 and 2.0.
You can get some really good signals buy putting both on the same chart. The faster Hull will move above and below the slower Wilder and show good price action.
CHK TimeSeriesLagReductionFilter[MULTI MA]This script is an improvement on the idea published on " Time Series Lag Reduction Filter "
This script allows users to select the Moving Average of his choice. Helps precise entries and precise exits.
Since every Moving Average is different, play with the settings to get the best fit. If the "Lag Reduce" overshoots bring down the number.
CREDITS ::
TO theheirophant for this idea
TO NEOBUTANE for his MULTI TYPE MOV AVG GUPPY
Thank You NEOBUTANE and Theheirophant.
This is my first publication :)
Sharing few examples what this script can do
LSMA - A Fast And Simple Alternative CalculationIntroduction
At the start of 2019 i published my first post "Approximating A Least Square Moving Average In Pine", who aimed to provide alternatives calculation of the least squares moving average (LSMA), a moving average who aim to estimate the underlying trend in the price without excessive lag.
The LSMA has the form of a linear regression ax + b where x is a linear sequence 1.2.3..N and with time varying a and b , the exact formula of the LSMA is as follows :
a = stdev(close,length)/stdev(bar_index,length) * correlation(close,bar_index,length)
b = sma(close,length) - a*sma(bar_index,length)
lsma = a*bar_index + b
Such calculation allow to forecast future values however such forecast is rarely accurate and the LSMA is mostly used as a smoother. In this post an alternative calculation is proposed, such calculation is incredibly simple and allow for an extremely efficient computation of the LSMA.
Rationale
The LSMA is a FIR low-pass filter with the following impulse response :
The impulse response of a FIR filter gives us the weight of the filter, as we can see the weights of the LSMA are a linearly decreasing sequence of values, however unlike the linearly weighted moving average (WMA) the weights of the LSMA take on negative values, this is necessary in order to provide a better fit to the data. Based on such impulse response we know that the WMA can help calculate the LSMA, since both have weights representing a linearly decreasing sequence of values, however the WMA doesn't have negative weights, so the process here is to fit the WMA impulse response to the impulse response of the LSMA.
Based on such negative values we know that we must subtract the impulse response of the WMA by a constant value and multiply the result, such constant value can be given by the impulse response of a simple moving average, we must now make sure that the impulse response of the WMA and SMA cross at a precise point, the point where the impulse response of the LSMA is equal to 0.
We can see that 3WMA and 2SMA are equal at a certain point, and that the impulse response of the LSMA is equal to 0 at that point, if we proceed to subtraction we obtain :
Therefore :
LSMA = 3WMA - 2SMA = WMA + 2(WMA - SMA)
Comparison
On a graph the difference isn't visible, subtracting the proposed calculation with a regular LSMA of the same period gives :
the error is 0.0000000...and certainly go on even further, therefore we can assume that the error is due to rounding errors.
Conclusion
This post provided a different calculation of the LSMA, it is shown that the LSMA can be made from the linear combination of a WMA and a SMA : 3WMA + -2SMA. I encourage peoples to use impulse responses in order to estimate other moving averages, since some are extremely heavy to compute.
Thanks for reading !
Hashem Correlation CoefficientCorrelation Coefficient
Core Code from: www.tradingview.com
This indicator Show Correlation between the Current Ticker & timeframe and a Customizable Ticker. After adding the indicator you can change the second ticker in the settings.
The Correlation Coeff is between -1 to 1 which 1 means 100% correlation and -1 means -100% correlation ( Inverse Correlation ).
The color of the area changes when:
Blue : CC > 0.5
Aqua : CC > 0.75
Purple : CC < -0.5
Red : CC < -0.75
SMA %The percentage difference from the close to the mean of SMA. Positive when above negative when below.
Fancy Moving Average [BigBitsIO]This script is for a single moving average with as many features as I can possibly fit into a single moving average. If you can think of more, or have questions regarding this script, please message me or contact me via social media.
Features:
- A single moving average (MA).
- Standard MA inputs.
- MA type.
- MA period.
- MA price.
- MA resolution (time frame).
- Visibility toggle.
- Fancy MA inputs.
- Toggle to show only candles included in the MA calculation ("Highlight inclusion") or display entire MA history.
- Toggle to show a ghost trail when Highlight inclusion is toggled on. Displays a shaded version of past MA history before the inclusion period (as seen on snapshot).
- Toggle to show forecast values for the MA.
- Other inputs related to forecasting:
- Forecast bias. (Neutral forecasts MA if the current price remains the same.)
- Forecast period.
- Forecast magnitude.
*** DISCLAIMER: For educational and entertainment purposes only. Nothing in this content should be interpreted as financial advice or a recommendation to buy or sell any sort of security or investment including all types of crypto. DYOR, TYOB. ***
EMA/SMA BandPlot the source high, low and close of any given ema or sma. Support and resistance is defined as an area where price is likely to bounce or get rejected and since MA's are usually just one line, this band is meant to act as an area surrounding the original MA and therefore avoiding fake outs.
$0 Exponential & Simple MAs with HigherTFMultiple Moving Averages (Simple/SMA & Exponential/EMA) in one indicator
Support for a fixed time frame for the MAs
MAs default period length are key ones, provided by experienced traders in crypto, greetings to xpressive
Live update or Non-repainting modes support: with the non-repainting mode the previous candle's close is considered instead of latest/current bar's changing close
Features:
7 EMAs with editable length
4 SMAs with editable length
Choice of the price/data source from a predefined list
Activate or not the usage of an higher TF
Target Higher time frame resolution. Not using the predefined lists for more possibilities, e.g M1="M", H12="720", D3="3D", 5M="5"
Configurable lines' width in one setting. Hide or change the MAs color from the indicator's style settings
Multi Timeframe Moving AveragesThis indicator allows you to view a moving average (EMA or SMA) of your choosing on other time frames than what you are currently on.
The reason I wanted to develop this was for use as a filter. Let's say you wanted to make sure the daily time frame was trading above a certain moving average so you could be sure you were playing with the trend. But you wanted to make your entries and exits on a smaller time frame. This Multi-Timeframe Moving Average indicator can then be used to keep an eye on that daily moving average while looking at the shorter term time frames on the same chart.
Hashem OBV+EMA/MAThe On Balance Volume indicator (OBV) is used to measure buying and selling pressure.
It is a cumulative indicator meaning that on days where price went up, that day's volume is added to the cumulative OBV total. If price went down, then that day's volume is subtracted from the OBV total.
The OBV value is then plotted as a line for easy interpretation. OBV is primarily used to confirm or identify overall price Trends or to anticipate price movements after Divergences .
In addition to OBV, EMA and SMA are included. the EMA is used for Support and Resistances for the OBV. and the SMA is used by its Slope (can be S/R as well).
Rhaps SMAEMA Combo v1.1There's many versions of this sort of thing around the Tradingview library, but i guess we all like things to our own specifications.
So this is my take on the SMA and EMA version combined.
Bunch of SMA's & EMA's, with labels, and G&D Cross Labels and Alerts.
These values can of course be changed to any you may prefer.
Rhapsodyy's Combo SMAEMA's v1.1
SMA's with Painted Labels : 10/30/50/80/200
EMA's with Painted Labels : 21/50/89/200/377
50SMA / 200SMA Golden & Death Crosses on Current Timeframe & Alerts
Daily 50SMA / 200SMA Golden & Death Crosses overlayed onto Current Timeframe & Alerts
50EMA / 200EMA Golden & Death Crosses on Current Timeframe & Alerts
Daily 50EMA / 200EMA Golden & Death Crosses overlayed onto Current Timeframe & Alerts
FibMAThis study visually demonstrates Fibonacci moving averages.
The darker the color, the stronger the signal is for either buying or selling.
Buys/Sells only take place when each moving average is above/below the its adjactent fibonacci sequence, i.e 5<8<13<21<34<55<89<144 for buying..
Alerts are provided as BUY ASSET and SELL ASSET.
Multiple moving averages are also provided.
FMA - Fibonacci Moving Average [NXT2017]HI BIG PLAYERS,
I present you a new moving average indicator that relates the values to the lenght of Fibonacci sequence.
Kind regards
NXT2017
MasterMAThis study demonstrates 15 different common moving averages.
SMA, Double SMA, Triple SMA
EMA, Double EMA, Triple EMA
WMA, Double WMA, Triple WMA
VWMA, Double VWMA, Triple VWMA
Hull, Double Hull, Triple Hull
Buy/Sell alerts are given for crossover/under conditions.
Triangles at the bottom, pointing up are buy signals. Triangles at the top, pointing down, are sell signals
Reliability[UO]This is an SMA based indicator. It gives a sense of long term behavior of the asset to make a reliable trade setup
How reliable is your asset to trade without gambling? Is there a reliable trend?
Is this price dip an opportunity to buy?
Is this price spike an opportunity to sell? Or would you avoid buying now and rather wait a bit for prices to fall down to a more reasonable level?
You can recognize all of those points on this indicator. The best to do is to look at the prices and patterns on the indicator to learn about those points.
RSI with Moving Averages[UO]This RSI indicator is one of my favorite indicators. This powerful indicator is implemented by Phi-Deltalytics. I modified the drawing so that it is easier (at least for me) to see the signals and trends (it would not matter if you're doing algorithmic trading).
Trends and signals. For detailed instructions and tutorial see Phi-Deltalytics page
Golden Ratio Fibonacci Multipliers Top Detector [UO]Fibonacci levels that show the critical top and bottom levels. There is no way to miss the top and bottom. And a top detector.
Also the most important SMA lines (SMA 50, 200), EMA21. Those are the most frequently used lines by traders.
This indicator is based on the work of www.tradingview.com
His work set me thinking. Could I also see the bottom using Fibonacci numbers? Yes, of course.
My favorite timeframes with this indicator are 6H, 1D, 3D.
Intensively used for BTC and BNB. And useful for any other coin.
Stock to Flow Model with Standard Deviation BandsThis Study takes the Stock to Flow Model for Bitcoin as presented by 100trillionUSD and smoothes it using an SMA. Then it calculates the close's standard deviation from it and displays the 2-Sigma Bands.
The stock to flow model seems to be one of the best predictions of Bitcoins price.
The standard deviation bands are supposed to show situations in which Bitcoin is significantly over- or under-bought.
Rolling Moving Average, SMA/EMA, for IPO stocksThe script replicates the standard EMA/SMA used by tradingview, but also adds an estimate for the first X periods, where X is the length of the moving average. This allows for an estimate of support resistance in IPO stocks, when fewer date is available