StapleIndicatorsLibrary "StapleIndicators"
This Library provides some common indicators commonly referenced from other studies in Pine Script
squeeze(bbSrc, bbPeriod, bbDev, kcSrc, kcPeriod, kcATR, signalPeriod) Volatility Squeeze
Parameters:
bbSrc : (Optional) Bollinger Bands Source. By default close
bbPeriod : (Optional) Bollinger Bands Period. By default 20
bbDev : (Optional) Bollinger Bands Standard Deviation. By default 2.0
kcSrc : (Optional) Keltner Channel Source. By default close
kcPeriod : (Optional) Keltner Channel Period. By default 20
kcATR : (Optional) Keltner Channel ATR Multiplier. By default 1.5
signalPeriod : (Optional) Keltner Channel ATR Multiplier. By default 1.5
Returns:
adx(diPeriod, adxPeriod, signalPeriod, adxTier1, adxTier2, adxTier3) ADX: Average Directional Index
Parameters:
diPeriod : (Optional) Directional Indicator Period. By default 14
adxPeriod : (Optional) ADX Smoothing. By default 14
signalPeriod : (Optional) Signal Period. By default 13
adxTier1 : (Optional) ADX Tier #1 Level. By default 20
adxTier2 : (Optional) ADX Tier #2 Level. By default 15
adxTier3 : (Optional) ADX Tier #3 Level. By default 10
Returns:
smaPreset(srcMa) Delivers a set of frequently used Simple Moving Averages
Parameters:
srcMa : (Optional) MA Source. By default 'close'
Returns:
emaPreset(srcMa) Delivers a set of frequently used Exponential Moving Averages
Parameters:
srcMa : (Optional) MA Source. By default 'close'
Returns:
maSelect(ma, srcMa) Filters and outputs the selected MA
Parameters:
ma : (Optional) MA text. By default 'Ema-21'
srcMa : (Optional) MA Source. By default 'close'
Returns: maSelected
periodAdapt(modeAdaptative, src, maxLen, minLen) Adaptative Period
Parameters:
modeAdaptative : (Optional) Adaptative Mode. By default 'Average'
src : (Optional) Source. By default 'close'
maxLen : (Optional) Max Period. By default '60'
minLen : (Optional) Min Period. By default '4'
Returns: periodAdaptative
azlema(modeAdaptative, srcMa) Azlema: Adaptative Zero-Lag Ema
Parameters:
modeAdaptative : (Optional) Adaptative Mode. By default 'Average'
srcMa : (Optional) MA Source. By default 'close'
Returns: azlema
ssma(lsmaVar, srcMa, periodMa) SSMA: Smooth Simple MA
Parameters:
lsmaVar : Linear Regression Curve.
srcMa : (Optional) MA Source. By default 'close'
periodMa : (Optional) MA Period. By default '13'
Returns: ssma
jvf(srcMa, periodMa) Jurik Volatility Factor
Parameters:
srcMa : (Optional) MA Source. By default 'close'
periodMa : (Optional) MA Period. By default '7'
Returns:
jBands(srcMa, periodMa) Jurik Bands
Parameters:
srcMa : (Optional) MA Source. By default 'close'
periodMa : (Optional) MA Period. By default '7'
Returns:
jma(srcMa, periodMa, phase) Jurik MA (JMA)
Parameters:
srcMa : (Optional) MA Source. By default 'close'
periodMa : (Optional) MA Period. By default '7'
phase : (Optional) Phase. By default '50'
Returns: jma
maCustom(ma, srcMa, periodMa, lrOffset, almaOffset, almaSigma, jmaPhase, azlemaMode) Creates a custom Moving Average
Parameters:
ma : (Optional) MA text. By default 'Ema'
srcMa : (Optional) MA Source. By default 'close'
periodMa : (Optional) MA Period. By default '13'
lrOffset : (Optional) Linear Regression Offset. By default '0'
almaOffset : (Optional) Alma Offset. By default '0.85'
almaSigma : (Optional) Alma Sigma. By default '6'
jmaPhase : (Optional) JMA Phase. By default '50'
azlemaMode : (Optional) Azlema Adaptative Mode. By default 'Average'
Returns: maTF
Komut dosyalarını "Exponential Moving Average" için ara
CommonFiltersLibrary "CommonFilters"
Collection of some common Filters and Moving Averages. This collection is not encyclopaedic, but to declutter my other scripts. Suggestions are welcome, though. Many filters here are based on the work of John F. Ehlers
sma(src, len) Simple Moving Average
Parameters:
src : Series to use
len : Filtering length
Returns: Filtered series
ema(src, len) Exponential Moving Average
Parameters:
src : Series to use
len : Filtering length
Returns: Filtered series
rma(src, len) Wilder's Smoothing (Running Moving Average)
Parameters:
src : Series to use
len : Filtering length
Returns: Filtered series
hma(src, len) Hull Moving Average
Parameters:
src : Series to use
len : Filtering length
Returns: Filtered series
vwma(src, len) Volume Weighted Moving Average
Parameters:
src : Series to use
len : Filtering length
Returns: Filtered series
hp2(src) Simple denoiser
Parameters:
src : Series to use
Returns: Filtered series
fir2(src) Zero at 2 bar cycle period by John F. Ehlers
Parameters:
src : Series to use
Returns: Filtered series
fir3(src) Zero at 3 bar cycle period by John F. Ehlers
Parameters:
src : Series to use
Returns: Filtered series
fir23(src) Zero at 2 bar and 3 bar cycle periods by John F. Ehlers
Parameters:
src : Series to use
Returns: Filtered series
fir234(src) Zero at 2, 3 and 4 bar cycle periods by John F. Ehlers
Parameters:
src : Series to use
Returns: Filtered series
hp(src, len) High Pass Filter for cyclic components shorter than langth. Part of Roofing Filter by John F. Ehlers
Parameters:
src : Series to use
len : Filtering length
Returns: Filtered series
supers2(src, len) 2-pole Super Smoother by John F. Ehlers
Parameters:
src : Series to use
len : Filtering length
Returns: Filtered series
filt11(src, len) Filt11 is a variant of 2-pole Super Smoother with error averaging for zero-lag response by John F. Ehlers
Parameters:
src : Series to use
len : Filtering length
Returns: Filtered series
supers3(src, len) 3-pole Super Smoother by John F. Ehlers
Parameters:
src : Series to use
len : Filtering length
Returns: Filtered series
hannFIR(src, len) Hann Window Filter by John F. Ehlers
Parameters:
src : Series to use
len : Filtering length
Returns: Filtered series
hammingFIR(src, len) Hamming Window Filter (inspired by John F. Ehlers). Simplified implementation as Pedestal input parameter cannot be supplied, so I calculate it from the supplied length
Parameters:
src : Series to use
len : Filtering length
Returns: Filtered series
triangleFIR(src, len) Triangle Window Filter by John F. Ehlers
Parameters:
src : Series to use
len : Filtering length
Returns: Filtered series
doPrefilter(type, src) Execute a particular Prefilter from the list
Parameters:
type : Prefilter type to use
src : Series to use
Returns: Filtered series
doMA(type, src, len) Execute a particular MA from the list
Parameters:
type : MA type to use
src : Series to use
len : Filtering length
Returns: Filtered series
T3 + BB
TRES EMAS + BANDAS DE BOLLINGER
INDICADOR 1: TRES EMAS (MEDIA MOVIL EXPONENCIAL)
Con este indicador puede visualizar el promedio de precios con mayor peso a los datos mas recientes.
Se calculan y dibujan tres medias móviles exponenciales: 4, 20 y 200 últimas velas.
-Rápida EMA1 = 4, paso = 1
-Media EMA2 = 20, paso = 2
-Lenta EMA 3 = 200, paso = 10
INDICADOR 2: BANDAS DE BOLLINGER
Con este indicador podrá ver la fuerza y la tendencia del mercado, es decir la mide la volatilidad del precio del activo.
Si el precio sobrepasa la banda superior, el activo está sobrecomprado.
Si el precio sobrepasa la banda inferior, el activo está sobrevendido.
Longitud tendencia - BASE = 20, paso = 1
Desviación Estándar - Multiplicador = 2, paso = 0.2
Estos 2 indicadores sirven para todo tipo de activos: FOREX, CRIPTO, CFD´s, ETC.
------------------------------------------------------------------------------------------------------------------
THREE EMAS + BOLLINGER BANDS
INDICATOR 1: THREE EMAS (EXPONENTIAL MOVING AVERAGE)
With this indicator you can visualize the average of prices with greater weight to the most recent data.
Three exponential moving averages are calculated and drawn: 4, 20 and 200 last candles.
-Fast EMA1 = 4, step = 1
-Average EMA2 = 20, step = 2
-Slow EMA 3 = 200, step = 10
INDICATOR 2: BOLLINGER BANDS
With this indicator you can see the strength and trend of the market, that is, it is measured by the volatility of the asset price.
If the price goes above the upper band, the asset is overbought.
If the price goes above the lower band, the asset is oversold.
Trend length - BASE = 20, step = 1
Standard Deviation - Multiplier = 2, step = 0.2
These 2 indicators are used for all types of assets: FOREX, CRYPT, CFD's, ETC.
TimeLockedMALibrary "TimeLockedMA"
Library & function(s) which generates a moving average that stays locked to users desired time preference.
TODO - Add functionality for more moving average types. IE: smooth, weighted etc...
Example:
time_locked_ma(close, length=1, timeframe='days', type='ema')
Will generate a 1 day exponential moving average that will stay consistent across all chart intervals.
Error Handling
On small time frames with large moving averages (IE: 1min chart with a 50 week moving average), you'll get a study error that says "(function "sma") references too many candles in history" .
To fix this, make sure you have timeframe="" as an indicator() header. Next, in the indicator settings, increase the timeframe from to a higher interval until the error goes away.
By default, it's set to "Chart". Bringing the interval up to 1hr will usually solve the issue.
Furthermore, adding timeframe_gaps=false to your indicator() header will give you an approximation of real-time values.
Misc Info
For time_lock_ma() setting type='na' will return the relative length value that adjusts dynamically to user's chart time interval.
This is good for plugging into other functions where a lookback or length is required. (IE: Bollinger Bands)
time_locked_ma(source, length, timeframe, type) Creates a moving average that is locked to a desired timeframe
Parameters:
source : float, Moving average source
length : int, Moving average length
timeframe : string, Desired timeframe. Use: "minutes", "hours", "days", "weeks", "months", "chart"
type : string, string Moving average type. Use "SMA" (default) or "EMA". Value of "NA" will return relative lookback length.
Returns: moving average that is locked to desired timeframe.
timeframe_convert(t, a, b) Converts timeframe to desired timeframe. From a --> b
Parameters:
t : int, Time interval
a : string, Time period
b : string, Time period to convert to
Returns: Converted timeframe value
chart_time(timeframe_period, timeframe_multiplier) Separates timeframe.period function and returns chart interval and period
Parameters:
timeframe_period : string, timeframe.period
timeframe_multiplier : int, timeframe.multiplier
Enjoy :)
3 Moving Average Exponential with multi TFThis is a simple Exponential Moving Average indicator. It allows you to have 3 Exponential Moving Averages and set a specific TimeFrame for each. Feel free to cope code LOL!
H/L Price Band with Signal Line (PBS)This indicator centers a moving average around the hl2 of the price. This is calculated as the difference of two moving averages. The upper band is a 9 period exponential moving average, the lower band is a 7 period moving average and the center line is the average between the two. The "Fast Line" is our signal line in this oscillator. When the price is hovering around the center of the band this indicates that a trend is pausing or reversing. When the fast line exits the band this could be a buy or sell signal. It could also indicate a very strong trend in that direction. To get the optimal entry and exit you might want to wait for the price to return to the center line. In addition to the basic functionality of this indicator I have added some bonus features. You can enable the "Slow Line" or the "Long Line" to enhance your signals. When the fast line is above the slow/long line you are in an up trend and inversely when the fast line is below the slow/long line you are in a down trend. The crossing of these lines can indicate a reversal. I have also included a "J" style amplification line. This works by enhancing the difference between the Fast and Slow/Long line to make it more visually apparent. You can also configure the "J" line to be calculated between either the slow or long line. Finally I have added the feature to amplify the band width by the standard deviation. This is set to 1 by default but you can also get a more responsive signal by setting this to 0.
This indicator works in most markets. There is a tool tip for every aspect of this indicator explaining how everything works. I hope you are very profitable with this one!
If you find this indicator is useful to you, Star it, Follow, Donate, Like and Share.
Your support is a highly motivation for me.
Indicator Functions with Factor and HeikinAshiHello all,
This indicator returns below selected indicators values with entered parameters.
Also you can add factorization, functions candles, function HeikinAshi and more to the plot.
VERSION:
Version 1: returns series only source and Length with already defined default values
Version 2: returns series with source, Length, p1 and p2 parameters according to the indicator definition (ex: )
PARAMETERS p1 p2
for defining multi arguments (See indicators list) indicator input value usable with verison=V2 selected.. ex: for alma( src , len ,offset=0.85,sigma=6), set source=source, len=length, p1=0.85 an p2=6
FACTOR:
Add double triple, Quadruple factors to selected indicator (like converting EMA to 2-DEMA, 3-TEMA, 4-QEMA...)
1-Original
2-Double
3-Triple
4-Quadruple
LOG
Log: Use log, log10 on function entries
PLOTTING:
PType: Plotting type of the function on the screen
Original :use original values
Org. Range (-1,1): usable for indicators between range -1 and 1
Stochastic: Convert indicator values by using stochastic calculation between -1 & 1. (use AT/% length to better view)
PercentRank: Convert indicator values by using Percent Rank calculation between -1 & 1. (use AT/% length to better view)
ST/%: length for plotting Type for stochastic and Percent Rank options
Smooth: Use SWMA for smoothing the function
DISPLAY TYPES
Plot Candles: Display the selected indicator as candle by implementing values
Plot Ind: Display result of indicator with selected source
HeikinAshi: Display Selected indicator candles with Heikin Ashi calculation
INDICATOR LIST:
hide = 'DONT DISPLAY', //Dont display & calculate the indicator. (For my framework usage)
alma = 'alma( src , len ,offset=0.85,sigma=6)', // Arnaud Legoux Moving Average
ama = 'ama( src , len ,fast=14,slow=100)', //Adjusted Moving Average
acdst = 'accdist()', // Accumulation/distribution index.
cma = 'cma( src , len )', //Corrective Moving average
dema = 'dema( src , len )', // Double EMA (Same as EMA with 2 factor)
ema = 'ema( src , len )', // Exponential Moving Average
gmma = 'gmma( src , len )', //Geometric Mean Moving Average
hghst = 'highest( src , len )', //Highest value for a given number of bars back.
hl2ma = 'hl2ma( src , len )', //higest lowest moving average
hma = 'hma( src , len )', // Hull Moving Average .
lgAdt = 'lagAdapt( src , len ,perclen=5,fperc=50)', //Ehler's Adaptive Laguerre filter
lgAdV = 'lagAdaptV( src , len ,perclen=5,fperc=50)', //Ehler's Adaptive Laguerre filter variation
lguer = 'laguerre( src , len )', //Ehler's Laguerre filter
lsrcp = 'lesrcp( src , len )', //lowest exponential esrcpanding moving line
lexp = 'lexp( src , len )', //lowest exponential expanding moving line
linrg = 'linreg( src , len ,loffset=1)', // Linear regression
lowst = 'lowest( src , len )', //Lovest value for a given number of bars back.
pcnl = 'percntl( src , len )', //percentile nearest rank. Calculates percentile using method of Nearest Rank.
pcnli = 'percntli( src , len )', //percentile linear interpolation. Calculates percentile using method of linear interpolation between the two nearest ranks.
rema = 'rema( src , len )', //Range EMA (REMA)
rma = 'rma( src , len )', //Moving average used in RSI . It is the exponentially weighted moving average with alpha = 1 / length.
sma = 'sma( src , len )', // Smoothed Moving Average
smma = 'smma( src , len )', // Smoothed Moving Average
supr2 = 'super2( src , len )', //Ehler's super smoother, 2 pole
supr3 = 'super3( src , len )', //Ehler's super smoother, 3 pole
strnd = 'supertrend( src , len ,period=3)', //Supertrend indicator
swma = 'swma( src , len )', //Sine-Weighted Moving Average
tema = 'tema( src , len )', // Triple EMA (Same as EMA with 3 factor)
tma = 'tma( src , len )', //Triangular Moving Average
vida = 'vida( src , len )', // Variable Index Dynamic Average
vwma = 'vwma( src , len )', // Volume Weigted Moving Average
wma = 'wma( src , len )', //Weigted Moving Average
angle = 'angle( src , len )', //angle of the series (Use its Input as another indicator output)
atr = 'atr( src , len )', // average true range . RMA of true range.
bbr = 'bbr( src , len ,mult=1)', // bollinger %%
bbw = 'bbw( src , len ,mult=2)', // Bollinger Bands Width . The Bollinger Band Width is the difference between the upper and the lower Bollinger Bands divided by the middle band.
cci = 'cci( src , len )', // commodity channel index
cctbb = 'cctbbo( src , len )', // CCT Bollinger Band Oscilator
chng = 'change( src , len )', //Difference between current value and previous, source - source.
cmo = 'cmo( src , len )', // Chande Momentum Oscillator . Calculates the difference between the sum of recent gains and the sum of recent losses and then divides the result by the sum of all price movement over the same period.
cog = 'cog( src , len )', //The cog (center of gravity ) is an indicator based on statistics and the Fibonacci golden ratio.
cpcrv = 'copcurve( src , len )', // Coppock Curve. was originally developed by Edwin "Sedge" Coppock (Barron's Magazine, October 1962).
corrl = 'correl( src , len )', // Correlation coefficient . Describes the degree to which two series tend to deviate from their ta. sma values.
count = 'count( src , len )', //green avg - red avg
dev = 'dev( src , len )', //ta.dev() Measure of difference between the series and it's ta. sma
fall = 'falling( src , len )', //ta.falling() Test if the `source` series is now falling for `length` bars long. (Use its Input as another indicator output)
kcr = 'kcr( src , len ,mult=2)', // Keltner Channels Range
kcw = 'kcw( src , len ,mult=2)', //ta.kcw(). Keltner Channels Width. The Keltner Channels Width is the difference between the upper and the lower Keltner Channels divided by the middle channel.
macd = 'macd( src , len )', // macd
mfi = 'mfi( src , len )', // Money Flow Index
nvi = 'nvi()', // Negative Volume Index
obv = 'obv()', // On Balance Volume
pvi = 'pvi()', // Positive Volume Index
pvt = 'pvt()', // Price Volume Trend
rise = 'rising( src , len )', //ta.rising() Test if the `source` series is now rising for `length` bars long. (Use its Input as another indicator output)
roc = 'roc( src , len )', // Rate of Change
rsi = 'rsi( src , len )', // Relative strength Index
smosc = 'smi_osc( src , len ,fast=5, slow=34)', //smi Oscillator
smsig = 'smi_sig( src , len ,fast=5, slow=34)', //smi Signal
stdev = 'stdev( src , len )', //Standart deviation
trix = 'trix( src , len )' , //the rate of change of a triple exponentially smoothed moving average .
tsi = 'tsi( src , len )', //True Strength Index
vari = 'variance( src , len )', //ta.variance(). Variance is the expectation of the squared deviation of a series from its mean (ta. sma ), and it informally measures how far a set of numbers are spread out from their mean.
wilpc = 'willprc( src , len )', // Williams %R
wad = 'wad()', // Williams Accumulation/Distribution .
wvad = 'wvad()' //Williams Variable Accumulation/Distribution
I will update the indicator list when I will update the library
Thanks to tradingview, @RodrigoKazuma for their open source indicators
Moving Average Trend█ OVERVIEW
This is a Moving Average Script that contains both a cloud and a ribbon that has independent MA-type selection.
⬆ green arrow up = up trend flip
⬇ red arrow down = down trend flip
🟢 Green Dot = Potential Long
🔴 Red Dot = Potential Short
█ CONCEPTS
1 — Cloud, like most trading algo, the cloud is made of 8 short term MA , with MA cross and MA cross (longema)
2 — Ribbon, this is by default turned off, the default values , an option in setting to change longema to look for ribbon cross
3 — Sequence, It goes from 1 – 9 at 9 the sequence resets. The sequence changes colour depending on if it’s a down trend(red) or uptrend(green) or an over extended trend (yellow)
Setup definitions
Red sell start = current close < the close 4 candles back
Yellow sell extended = current close < last close and current close < two closes back
Green buy start = current close > the close 4 candles back
Yellow buy extended = current close last close and current close < two closes back
This can help you find when it’s time to get out, or sit out of a choppy trend.
4 - Moving Average types:
sma = Simple Moving Average
ema = Exponential Moving Average
wma = Weighted Moving Average
vwma = Volume Weighted Moving Average
rma = Running Moving Average
alma = Arnaud Legoux Moving Average
hma = Hull Moving Average
jma = Jurik Moving Average
frama-o = frama
frama-m = frama mod
dema = Double Exponential Moving Average
tema = Triple Exponential Moving Average
zlema = Zero lag Exponential Moving Average
smma = Smoothed Moving Average
kma = kaufman Moving Average
tma = triangular Moving Average
gmma = Geometric Mean Moving Average
vida = Variable Index Dynamic Average
cma = Corrective Moving average
rema = Range Exponential Moving average
█ OTHER SECTIONS
• FEATURES: to describe the detailed features of the script, usually arranged in the same order as users will find them in the script's inputs.
• HOW TO USE
• LIMITATIONS: Like with any MA script there is a lag factor associated with is.
• RAMBLINGS: Experiment to your hearts content with all the MA types, I'm impartial to HMA as is
• NOTES: some of the MA's are more taxing, therefore take longer to load, be patience, this is a trimmed down version of an existing invite only script i have
Ehlers Moving Average Difference Hann Indicator [CC]The Moving Average Difference Hann Indicator was created by John Ehlers (Stocks and Commodities Nov 2021) and this is an improved variation of his Moving Average Difference Indicator that uses smoothing from his Hann Windowing Indicator to provide smoother buy and sell signals. As for how this indicator works it is an improved version of the classic MACD indicator which of course takes a difference between two exponential moving averages. I have included strong buy and signals in addition to normal ones so lighter colors are normal signals and darker colors are strong signals. Buy when the line turns green and sell when it turns red.
Let me know if there are any other indicators you would like to see me publish!
Technical Ratings on Multi-frames / Assets█ OVERVIEW
This indicator is a modified version of TECHNICAL RATING v1.0 available in the public library to provide a quick overview of consolidated technical ratings performed on 12 assets in 3 timeframes.The purpose of the indicator is to provide a quick overview of the current status of the custom 12 (24) assets and to help focus on the appropriate asset.
█ MODIFICATIONS
- Markers, visualizations and alerts have been deleted
- Due to the limitation on maximum number of security (40), the results of 12 assets evaluated in 3 different time frames can be shown at the same time.
- An additional 12 assets can be configured in the settings so that you do not have to choose each ticker one by one to facilitate a quick change, but can switch between the 12 -12 assets with a single click on "Second sets?".
- The position, colors and parameters of the table can be widely customized in the settings.
- The 12 assets can be arranged in rows 3, 4, 6 and 12 with Table Rows options, which can also be used to create a simple mobile view.
- The default gradient color setting has been changed to red/yellow/green traffic lights
ORIGINAL DESCRIPTION ABOUT TECHNICAL RATING v1.0
█ OVERVIEW
This indicator calculates TradingView's well-known "Strong Buy", "Buy", "Neutral", "Sell" or "Strong Sell" states using the aggregate biases of 26 different technical indicators.
█ WARNING
This version is similar, but not identical, to our recently published "Technical Ratings" built-in, which reproduces our "Technicals" ratings displayed as a gauge in the right panel of charts, or in the "Rating" indicator available in the TradingView Screener. This is a fork and refactoring of the code base used in the "Technical Ratings" built-in. Its calculations will not always match those of the built-in, but it provides options not available in the built-in. Up to you to decide which one you prefer to use.
█ FEATURES
Differences with the built-in version
• The built-in version produces values matching the states displayed in the "Technicals" ratings gauge; this one does not always.
• A strategy version is also available as a built-in; this script is an indicator—not a strategy.
• This indicator will show a slightly different vertical scale, as it does not use a fixed scale like the built-in.
• This version allows control over repainting of the signal when you do not use a higher timeframe. Higher timeframe (HTF) information from this version does not repaint.
• You can adjust the weight of the Oscillators and MAs components of the rating here.
• You can configure markers on signal breaches of configurable levels, or on advances declines of the signal.
The indicator's settings allow you to:
• Choose the timeframe you want calculations to be made on.
• When not using a HTF, you can select a repainting or non-repainting signal.
• When using both MAs and Oscillators groups to calculate the rating, you can vary the weight of each group in the calculation. The default is 50/50.
Because the MAs group uses longer periods for some of its components, its value is not as jumpy as the Oscillators value.
Increasing the weight of the MAs group will thus have a calming effect on the signal.
• Alerts can be created on the indicator using the conditions configured to control the display of markers.
Display
The calculated rating is displayed as columns, but you can change the style in the inputs. The color of the signal can be one of three colors: bull, bear, or neutral. You can choose from a few presets, or check one and edit its color. The color is determined from the rating's value. Between 0.1 and -0.1 it is in the neutral color. Above/below 0.1/-0.1 it will appear in the bull/bear color. The intensity of the bull/bear color is determined by cumulative advances/declines in the rating. It is capped to 5, so there are five intensities for each of the bull/bear colors.
The "Strong Buy", "Buy", "Neutral", "Sell" or "Strong Sell" state of the last calculated value is displayed to the right of the last bar for each of the three groups: All, MAs and Oscillators. The first value always reflects your selection in the "Rating uses" field and is the one used to display the signal. A "Strong Buy" or "Strong Sell" state appears when the signal is above/below the 0.5/-0.5 level. A "Buy" or "Sell" state appears when the signal is above/below the 0.1/-0.1 level. The "Neutral" state appears when the signal is between 0.1 and -0.1 inclusively.
Five levels are always displayed: 0.5 and 0.1 in the bull color, zero in the neutral color, and -0.1 and - 0.5 in the bull color.
█ CALCULATIONS
The indicator calculates the aggregate value of two groups of indicators: moving averages and oscillators.
The "MAs" group is comprised of 15 different components:
• Six Simple Moving Averages of periods 10, 20, 30, 50, 100 and 200
• Six Exponential Moving Averages of the same periods
• A Hull Moving Average of period 9
• A Volume-weighed Moving Average of period 20
• Ichimoku
The "Oscillators" group includes 11 components:
• RSI
• Stochastic
• CCI
• ADX
• Awesome Oscillator
• Momentum
• MACD
• Stochastic RSI
• Wiliams %R
• Bull Bear Power
• Ultimate Oscillator
Normalized Volatility IndicatorFrom an article by Rajesh Kayakkal:
"Early bear phase signals can help you get out of the market before it turns down. This indicator tells you how.
There are many ways to identify the trend of a financial market, the most common being the 200-day exponential moving average (Ema). When price is trending down below the 200-day Ema, the market is believed to be in a bear phase. If the market is trending up above the 200-day Ema, it is considered to be in a bull phase.
Since every indicator fails at times, I wanted to find other indicators to confirm a trend. In my quest for another indicator to determine the trend for the financial markets, I found the Cboe Volatility Index (Vix) to be a good indicator of the market direction. The Vix is calculated from the weighted average of the implied volatilities of various options on the Standard & Poor’s 500 index futures.
J. Welles Wilder’s average true range can also give an indication of the financial market trends; that is, when the market is in a bull phase, the average true range narrows, and when it is in a bear phase, the average true range expands. The normalized volatility indicator (Nvi) is based on this behavior.
Normalized volatility indicator (Nvi)
Average true range (Atr) varies depending on time. But how do we determine the phase of the financial market with Atr? Perhaps some type of ratio could give us a clue. A ratio presents a relationship of a quantity with respect to another. I did some research based on a ratio of the 64-day average true range and the end-of-day value of equity indexes such as the Standard & Poor’s 500 (Spx). I selected the 64-day period since it is close to the average number of trading days in a quarter. The ratio of the 64-day average true range and closing price does discount seasonal variations in the average true range and gives a single number that can be used to compare volatility of an instrument across many decades. I call this ratio the normalized volatility indicator.
I found an interesting correlation between Nvi and cycles of major equity market indexes. The formula for the Nvi is:
Nvi = 64 - Day average true range/End-of-day price * 100
The NVI gave advanced signals before the cyclical bear phase of SPX commenced in October 2000 and was almost on the spot with the bull phase that began in 2003 and the current secular bear market cycle, which started in November 2007."
Includes options to show inverse NVI and change the ATR length and smoothing.
Price Action Movements by RPThis is the Indicator which will enhance finding Buying and Selling opportunity on any market.
Mostly suited for day Trading and some indicator can be used for signalling stock on longer time frame.
Indicators used to create this strategy is as follows:
- Exponential Moving Average (EMA)
- Supertrend
- Volume Weighted Average Price (VWAP)
- Exponential Moving Average of Volume Weighted Average Price (MVWAP)
- Previous Day Volume Weighted Average Price (PVWAP)
- Previous Day High, Low and Close (PDH, PDL, PDC)
- And Current Day Support and Resistance points based on Previous day Price Movement.
This will indicate where to buy and Sell with Indicator based on Following criteria,
Buy Signal given,
- When Close is above Exponential Moving Average 9
- When Close is above Exponential Moving Average 21
- RSI above 55
- Supertrend is positive
- Volume is above 300 moving Average
- Close is above Volume Weighted Average Price
Sell Signal given,
- When Close is below Exponential Moving Average 9
- When Close is below Exponential Moving Average 21
- RSI below 45
- Supertrend is negative
- Volume is above 300 moving Average
- Close is below Volume Weighted Average Price
Trades can use this Study according to their need of the Indicator.
Users can Tick the indicator which they want to add on Charts to study.
Only Exponential Moving Average indicator can be used.
Only Supertrend can be used.
Volume Weighted Average Price, Previous Day Volume Weighted Average Price, Exponential Moving Average of Volume Weighted Average Price and Previous Day High, Low and Close can be used as a particular study.
Support and Resistance can be used along with Previous Day High and Previous Day Low as a particular study.
This is multipurpose Study which will help Trading Society immensely.
Thank You.
Moving Average - Higher TimeframeThis indicator let you choose between different Moving Average types while being able to adjust the plotted timeframe:
- Simple Moving Average
- Exponential Moving Average
- Weighted Moving Average
- Hull Moving Average
Set lengths according to your needs / your preferred moving average.
If you have any opinions or wishes feel free to contact me or simply leave a comment.
//@jnnkwnsch
SPPO — Simple Percentage Price Oscillator SPPO is Simple Percentage Price Oscillator .
SPPO is calculated as the ratio of the current price to the moving average.
This indicator is used in the trading strategy to determine overbought and oversold markets. Chart period D1.
I use this oscillator on the BTCUSD and ETHUSD pairs. It can also be used on other top crypto symbols.
If SPPO on the BTCUSDT chart > 35%, this means that in the Bitcoin market pamp . So it’s time to close long positions.
If SPPO on the bitcoin chart is <-30%, then bitcoin is oversold and you need to think about starting to buy it.
Recommended timeframe: 1d
Input parameters:
MA Length — number of bars for moving average. Default = 25.
Source — type of price used to calculate the MA. Default = close.
High Level — upper horizontal constant on the SPPO chart. Default = 35.
Low Level — lower horizontal constant on the SPPO chart. Default = -35.
Simple MA(Oscillator) — type of MA indicator used. If false = Exponential Moving Average , if true = Simple Moving Average . Default = true.
CMF Osc - Chaikin Money Flow Oscillator [UTS]The well known Chaikin Money Flow Indicator as oscillator version.
General Usage
The indicator runs both above and below zero, made to denote whether an asset is in a bullish (above zero) or bearish (below zero) trend.
It can be used to confirm trends, as well as spot possible trading signals due to divergences.
A benefit of the oscillator version is that it can produce LONG or SHORT signals on zero line cross.
Moving Averages
4 different Moving Averages are available:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
VWMA (Volume Weighted Moving Average)
WMA (Weighted Moving Average)
Chaikin Oscillator (ADL Oscillator) [UTS]The Chaikin Oscillator is basically an oscillator version of the Accumulation / Distribution Index, also known as ADL Indicator.
General Usage
The indicator runs both above and below zero, made to denote whether an asset is in a bullish (above zero) or bearish (below zero) trend.
It can be used to confirm trends, as well as spot possible trading signals due to divergences.
A benefit of the oscillator version is that it can produce LONG or SHORT signals on zero line cross.
Moving Averages
4 different Moving Averages are available:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
VWMA (Volume Weighted Moving Average)
WMA (Weighted Moving Average)
PVT Osc - Price Volume Trend Oscillator [UTS]The oscillator version of the Price Volume Trend indicator (PVT) can be considered as a leading indicator of future price movements. The PVT Indicator is similar to the On Balance Volume indicator as it is also used to measure the strength of a trend.
The difference between the OBV and the PVT is that where the OBV adds all volumes when price achieves higher daily closes and subtracts them when price registers a lower daily close, the PVT adds or subtracts only a portion of the volume from the cumulative total in relation to a percentage change in price.
The general market consensus is that this difference enables the PVT to more accurately represent money flow volumes in and out of a stock or commodity.
The PVT has been designed so that it is capable of forecasting directional changes in price. For instance, if the price of a stock is rising and the PVT begins to fall, then this is indicative that a price reversal could occur very soon.
The general consensus is that the PVT is more accurate at detecting new trading opportunities than the OBV because of the differences in their construction. The OBV is designed so that it adds the same amount of volume whether the price closes upwards by just a small fraction or by multiples of its day opening value. On the other hand, the PVT adds volume proportional to the amount the price closed higher.
General Usage
Plain old PVT can be used to confirm trends, as well as spot possible trading signals due to divergences.
A benefit of the oscillator version is that it can produce LONG or SHORT signals on zero line cross.
Or controversy, disallow LONG trades in bearish territory and disallow SHORT trades in bullish territory.
Moving Averages
4 different Moving Averages are available:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
VWMA (Volume Weighted Moving Average)
WMA (Weighted Moving Average)
OBV Osc - On Balance Volume Oscillator [UTS]The oscillator version of the well known On Balance Volume Indicator (OBV).
General Usage
Plain old OBV can be used to confirm trends, as well as spot possible trading signals due to divergences.
A benefit of the oscillator version is that it can produce LONG or SHORT signals on zero line cross.
Moving Averages
4 different Moving Averages are available:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
VWMA (Volume Weighted Moving Average)
WMA (Weighted Moving Average)
Ultimate_MA_MTF_CMChrisMoody MTF Ultimate Moving Average combined
with Exponential Moving Averages with Price line, i needed to analyze stocks
I have added 50, 100, 200 Period Moving Average to Chrismoody's UMA_MTF
Chris's MA can be found at
i have just combined these averages in a script major contribution goes to chris not me
please look at his indicator still is million times better than me
DEMA ATR Channels - New IndicatorA Double Exponential Moving Average (DEMA) with three sets of channel lines each one Average True Range (ATR) apart, above and below the DEMA.
Similar to my "ATR Channels" indicator, but using a DEMA instead of an EMA for the base. In addition, this indicator also plots a fast DEMA as well as a fill between the two. Fully customizable, you can toggle both DEMAs, the fill, and each set of ATR Channels.
ATR channel idea from Kerry Lovvorn as mentioned in Elder's "New Trading for a Living", page 93: "Kerry Lovvorn likes to plot 3 sets of lines around a moving average: at one, two, and three ATRs above and below an EMA . These can be used for setting up entry points and stops, as well as profit targets."
Infinity StonesEnglish: Five exponential moving averages. When the closing price is less than the average, the line will have a red color. You can change the averages and colors. Gap upside is identified with the yellow color. A star signals the doji
Português: cinco médias móveis exponenciais ( EMA ). Quando o preço de fechamento é menor que a média, a linha terá uma cor vermelha. Você pode alterar as médias e cores. Gap de alta é identificado com a cor amarela. Uma estrela sinaliza o Doji.
Multi-Bollinger [DW]This is an experimental study designed to visualize trend activity and volatility using a set of two Bollinger Bands calculated with a basis moving average type of your choice.
The available moving averages in this script are:
-Exponential Moving Average
-Simple Moving Average
-Weighted Moving Average
-Volume Weighted Moving Average
-Hull Moving Average
-Least Squares Moving Average
-Arnaud Legoux Moving Average
-Coefficient of Variation Weighted Moving Average
-Fractal Adaptive Moving Average
-Kaufman's Adaptive Moving Average
In addition, a middle filter is calculated by taking the median of the two basis lines.
Multi-Timeframe functionality is included. You can choose any timeframe that Tradingview supports as the basis resolution for the bands.
Custom bar color scheme is included with four options to choose from.
Mattzab ArrowsMattzab Arrows
THE BASICS
Buy and Sell Signal Arrows
Tack Marks to show how close the next opposite arrow might be- showing possible trend reversals
Standard Bollinger Bands
10-Day SMA Line
Configurable
Open Source
THE NITTY GRITTY
For starters, all values listed below can be changed in the settings. Length of time, as well as source, can be changed. For the Hidden EMA, this can be made visible by increasing its transparency.
ARROWS
The buy and sell signal arrows are based on price and MACD histogram.
The MACD settings are as follows: 10 day fast EMA , 20 day slow EMA , 5 day SMA signal smoothing. Instead of close price, we are using the average point of the day's high, low, and close.
For the arrows, current price and yesterday's price are using hl2 for high/low average.
A BUY arrow is created when:
Current Price IS GREATER THAN Previous Price _AND_ Current MACD Histogram IS GREATER THAN Previous MACD Histogram.
Important Note! Because the MACD Histogram repaints, the buy arrows may appear, then disappear later in the day, if the MACD changes. Check on the changelog to see if I've fixed it by the time you're reading this. (TradingView doesn't let you edit the description after it's been posted)
A SELL arrow is created when:
Current Price IS LESS THAN Previous Price _AND_ Current MACD Histogram IS LESS THAN Yesterday's MACD Histogram _AND_ Close Price is below _EITHER_ the Hidden EMA (default set to 4) _OR_ the Visible SMA (Default set to 10, which is the black line).
The hidden EMA can be made visible by increasing it's transparency in the Style tab.
Including the requirement to only sell if the standard conditions are met, PLUS being below one of those moving average lines, helps to prevent false sell arrows and repainting.
TACK MARKS
The Red Tack is the threshold, or barrier, for the next arrow. It will not move. It is based on previous High/Low/Close Price + MACD.
The Blue Tack is the current point in space for our average Price and MACD Delta Values. It will move throughout the day (or hour or minute depending on your resolution). The Blue Tack will give you an indication of how close or how far from the reversal threshold (Red Tack) the ticker is at that point.
While the Blue Tack is ABOVE Red, the most recent signal arrow will be a buy, and we are in a buy/hold period.
While the Blue Tack is BELOW Red, the most recent signal arrow will be a sell, and we are in a sell/wait period.
If the Blue Tack crosses above or below Red, you'll get the next arrow.
MOVING AVERAGE LINES
There are three moving average lines in this indicator.
The first is black, and is by default a 10-Day Simple Moving Average Line.
This black line is a good safeguard against selling too early. This is a good support line and that's how I use it.
The second is invisible, but can be made visible in the Styling, and is by default a 4-Day Exponential Moving Average Line
The third is the blue 20-Day Bollinger Band line.
BOLLINGER BANDS
The Bollinger Bands are unmodified and are just a background indicator for your use. If you prefer not to see the Bollinger Bands , change their transparency to 0% to hide them. I've cleaned up the Bollinger Bands to make the indicator as a whole- easier on the eyes.
Please leave feedback on how the script works for you, if you run into problems, if you have any changes you'd like to see, etc.
