Cyclic RSI High Low With Noise Filter█ OVERVIEW
This indicator displays Cyclic Relative Strength Index based on Decoding the Hidden Market Rhythm, Part 1 written by Lars von Thienen.
To determine true or false for Overbought / Oversold are unnecessary, therefore these should be either strong or weak.
Noise for weak Overbought / Oversold can be filtered, especially for smaller timeframe.
█ FEATURES
Display calculated Cyclic Relative Strength Index.
Zigzag high low based on Cyclic Relative Strength Index.
Able to filter noise for high low.
█ LEGENDS
◍ Weak Overbought / Oversold
OB ▼ = Strong Overbought
OS ▲ = Strong Oversold
█ USAGE / TIPS
Recommend to be used for Harmonic Patterns such as XABCD and ABCD.
Condition 1 (XABCD) : When ▼ and ▲ exist side by side, usually this outline XA, while the next two ◍ can be BC.
Condition 2 (ABCD) : When ▼ and ▲ exist side by side, usually this outline AB, while the next one ◍ can be BC, strong ABCD.
Condition 3 (ABCD) : When ▼ or ▲ exist at Point A, the next two ◍ can be Point B and Point C, medium ABCD.
Condition 4 (ABCD) : When ◍ exist at Point a, the next two ◍ can be Point b and Point c, weak ABCD usually used as lower case as abcd.
█ CREDITS
LoneSomeTheBlue
WhenToTrade
In den Scripts nach "relative strength" suchen
pandas_taLibrary "pandas_ta"
Level: 3
Background
Today is the first day of 2022 and happy new year every tradingviewers! May health and wealth go along with you all the time. I use this chance to publish my 1st PINE v5 lib : pandas_ta
This is not a piece of cake like thing, which cost me a lot of time and efforts to build this lib. Beyond 300 versions of this script was iterated in draft.
Function
Library "pandas_ta"
PINE v5 Counterpart of Pandas TA - A Technical Analysis Library in Python 3 at github.com
The Original Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas package with more than 130 Indicators and Utility functions and more than 60 TA Lib Candlestick Patterns.
I realized most of indicators except Candlestick Patterns because tradingview built-in Candlestick Patterns are even more powerful!
I use this to verify pandas_ta python version indicators for myself, but I realize that maybe many may need similar lib for pine v5 as well.
Function Brief Descriptions (Pls find details in script comments)
bton --> Binary to number
wcp --> Weighted Closing Price (WCP)
counter --> Condition counter
xbt --> Between
ebsw --> Even Better SineWave (EBSW)
ao --> Awesome Oscillator (AO)
apo --> Absolute Price Oscillator (APO)
xrf --> Dynamic shifted values
bias --> Bias (BIAS)
bop --> Balance of Power (BOP)
brar --> BRAR (BRAR)
cci --> Commodity Channel Index (CCI)
cfo --> Chande Forcast Oscillator (CFO)
cg --> Center of Gravity (CG)
cmo --> Chande Momentum Oscillator (CMO)
coppock --> Coppock Curve (COPC)
cti --> Correlation Trend Indicator (CTI)
dmi --> Directional Movement Index(DMI)
er --> Efficiency Ratio (ER)
eri --> Elder Ray Index (ERI)
fisher --> Fisher Transform (FISHT)
inertia --> Inertia (INERTIA)
kdj --> KDJ (KDJ)
kst --> 'Know Sure Thing' (KST)
macd --> Moving Average Convergence Divergence (MACD)
mom --> Momentum (MOM)
pgo --> Pretty Good Oscillator (PGO)
ppo --> Percentage Price Oscillator (PPO)
psl --> Psychological Line (PSL)
pvo --> Percentage Volume Oscillator (PVO)
qqe --> Quantitative Qualitative Estimation (QQE)
roc --> Rate of Change (ROC)
rsi --> Relative Strength Index (RSI)
rsx --> Relative Strength Xtra (rsx)
rvgi --> Relative Vigor Index (RVGI)
slope --> Slope
smi --> SMI Ergodic Indicator (SMI)
sqz* --> Squeeze (SQZ) * NOTE: code sufferred from very strange error, code was commented.
sqz_pro --> Squeeze PRO(SQZPRO)
xfl --> Condition filter
stc --> Schaff Trend Cycle (STC)
stoch --> Stochastic (STOCH)
stochrsi --> Stochastic RSI (STOCH RSI)
trix --> Trix (TRIX)
tsi --> True Strength Index (TSI)
uo --> Ultimate Oscillator (UO)
willr --> William's Percent R (WILLR)
alma --> Arnaud Legoux Moving Average (ALMA)
xll --> Dynamic rolling lowest values
dema --> Double Exponential Moving Average (DEMA)
ema --> Exponential Moving Average (EMA)
fwma --> Fibonacci's Weighted Moving Average (FWMA)
hilo --> Gann HiLo Activator(HiLo)
hma --> Hull Moving Average (HMA)
hwma --> HWMA (Holt-Winter Moving Average)
ichimoku --> Ichimoku Kinkō Hyō (ichimoku)
jma --> Jurik Moving Average Average (JMA)
kama --> Kaufman's Adaptive Moving Average (KAMA)
linreg --> Linear Regression Moving Average (linreg)
mgcd --> McGinley Dynamic Indicator
rma --> wildeR's Moving Average (RMA)
sinwma --> Sine Weighted Moving Average (SWMA)
ssf --> Ehler's Super Smoother Filter (SSF) © 2013
supertrend --> Supertrend (supertrend)
xsa --> X simple moving average
swma --> Symmetric Weighted Moving Average (SWMA)
t3 --> Tim Tillson's T3 Moving Average (T3)
tema --> Triple Exponential Moving Average (TEMA)
trima --> Triangular Moving Average (TRIMA)
vidya --> Variable Index Dynamic Average (VIDYA)
vwap --> Volume Weighted Average Price (VWAP)
vwma --> Volume Weighted Moving Average (VWMA)
wma --> Weighted Moving Average (WMA)
zlma --> Zero Lag Moving Average (ZLMA)
entropy --> Entropy (ENTP)
kurtosis --> Rolling Kurtosis
skew --> Rolling Skew
xev --> Condition all
zscore --> Rolling Z Score
adx --> Average Directional Movement (ADX)
aroon --> Aroon & Aroon Oscillator (AROON)
chop --> Choppiness Index (CHOP)
xex --> Condition any
cksp --> Chande Kroll Stop (CKSP)
dpo --> Detrend Price Oscillator (DPO)
long_run --> Long Run
psar --> Parabolic Stop and Reverse (psar)
short_run --> Short Run
vhf --> Vertical Horizontal Filter (VHF)
vortex --> Vortex
accbands --> Acceleration Bands (ACCBANDS)
atr --> Average True Range (ATR)
bbands --> Bollinger Bands (BBANDS)
donchian --> Donchian Channels (DC)
kc --> Keltner Channels (KC)
massi --> Mass Index (MASSI)
natr --> Normalized Average True Range (NATR)
pdist --> Price Distance (PDIST)
rvi --> Relative Volatility Index (RVI)
thermo --> Elders Thermometer (THERMO)
ui --> Ulcer Index (UI)
ad --> Accumulation/Distribution (AD)
cmf --> Chaikin Money Flow (CMF)
efi --> Elder's Force Index (EFI)
ecm --> Ease of Movement (EOM)
kvo --> Klinger Volume Oscillator (KVO)
mfi --> Money Flow Index (MFI)
nvi --> Negative Volume Index (NVI)
obv --> On Balance Volume (OBV)
pvi --> Positive Volume Index (PVI)
dvdi --> Dual Volume Divergence Index (DVDI)
xhh --> Dynamic rolling highest values
pvt --> Price-Volume Trend (PVT)
Remarks
I also incorporated func descriptions and func test script in commented mode, you can test the functino with the embedded test script and modify them as you wish.
This is a Level 3 free and open source indicator library.
Feedbacks are appreciated.
This is not the end of pandas_ta lib publication, but it is start point with pine v5 lib function and I will add more and more funcs into this lib for my own indicators.
Function Name List:
bton()
wcp()
count()
xbt()
ebsw()
ao()
apo()
xrf()
bias()
bop()
brar()
cci()
cfo()
cg()
cmo()
coppock()
cti()
dmi()
er()
eri()
fisher()
inertia()
kdj()
kst()
macd()
mom()
pgo()
ppo()
psl()
pvo()
qqe()
roc()
rsi()
rsx()
rvgi()
slope()
smi()
sqz_pro()
xfl()
stc()
stoch()
stochrsi()
trix()
tsi()
uo()
willr()
alma()
wcx()
xll()
dema()
ema()
fwma()
hilo()
hma()
hwma()
ichimoku()
jma()
kama()
linreg()
mgcd()
rma()
sinwma()
ssf()
supertrend()
xsa()
swma()
t3()
tema()
trima()
vidya()
vwap()
vwma()
wma()
zlma()
entropy()
kurtosis()
skew()
xev()
zscore()
adx()
aroon()
chop()
xex()
cksp()
dpo()
long_run()
psar()
short_run()
vhf()
vortex()
accbands()
atr()
bbands()
donchian()
kc()
massi()
natr()
pdist()
rvi()
thermo()
ui()
ad()
cmf()
efi()
ecm()
kvo()
mfi()
nvi()
obv()
pvi()
dvdi()
xhh()
pvt()
Indicators Combination Framework v3 IND [DTU]Hello All,
This script is a framework to analyze and see the results by combine selected indicators for (long, short, longexit, shortexit) conditions.
I was designed this for beginners and users to facilitate to see effects of the technical indicators combinations on the chart WITH NO CODE
You can improve your strategies according the results of this system by connecting the framework to a strategy framework/template such as Pinecoder, Benson, daveatt or custom.
This is enhanced version of my previous indicator "Indicators & Conditions Test Framework "
Currently there are 93 indicators (23 newly added) connected over library. You can also import an External Indicator or add Custom indicator (In the source)
It is possible to change it from Indicator to strategy (simple one) by just remarking strategy parts in the source code and see real time profit of your combinations
Feel free to change or use it in your source
Special thanks goes to Pine wizards: Trading view (built-in Indicators), @Rodrigo, @midtownsk8rguy, @Lazybear, @Daveatt and others for their open source codes and contributions
SIMPLE USAGE
1. SETTING: Show Alerts= True (To see your entries and Exists)
2. Define your Indicators (ex: INDICATOR1: ema(close,14), INDICATOR2: ema(close,21), INDICATOR3: ema(close,200)
3. Define Your Combinations for long & Short Conditions
a. For Long: (INDICATOR1 crossover INDICATOR2) AND (INDICATOR3 < close)
b. For Short: (INDICATOR1 crossunder INDICATOR2) AND (INDICATOR3 > close)
4. Select Strategy/template (Import strategy to chart) that you export your signals from the list
5. Analyze the best profit by changing Indicators values
SOME INDICATORS DETAILS
Each Indicator includes:
- Factorization : Converting the selected indicator to Double, triple Quadruple such as EMA to DEMA, TEMA QEMA
- Log : Simple or log10 can be used for calculation on function entries
- Plot Type : You can overlay the indicator on the chart (such ema) or you can use stochastic/Percentrank approach to display in the variable hlines range
- Extended Parametes : You can use default parameters or you can use extended (P1,P2) parameters regarding to indicator type and your choice
- Color : You can define indicator color and line properties
- Smooth : you can enable swma smooth
- indicators : you can select one of the 93 function like ema(),rsi().. to define your indicator
- Source : you can select from already defined indicators (IND1-4), External Indicator (EXT), Custom Indicator (CUST), and other sources (close, open...)
CONDITION DETAILS
- There are are 4 type of conditions, long entry, short entry, long exit, short exit.
- Each condition are built up from 4 combinations that joined with "AND" & "OR" operators
- You can see the results by enabling show alerts check box
- If you only wants to enter long entry and long exit, just fill these conditions
- If "close on opposite" checkbox selected on settings, long entry will be closed on short entry and vice versa
COMBINATIONS DETAILS
- There are 4 combinations that joined with "AND" & "OR" operators for each condition
- combinations are built up from compare 1st entry with 2nd one by using operator
- 1st and 2nd entries includes already defined indicators (IND1-5), External Indicator (EXT), Custom Indicator (CUST), and other sources (close, open...)
- Operators are comparison values such as >,<, crossover,...
- 2nd entry include "VALUE" parameter that will use to compare 1st indicator with value area
- If 2nd indicator selected different than "VALUE", value are will mean previous value of the selection. (ex: value area= 2, 2nd entry=close, means close )
- Selecting "NONE" for the 1st entry will disable calculation of current and following combinations
JOINS DETAILS
- Each combination will join wiht the following one with the JOIN (AND, OR) operator (if the following one is not equal "NONE")
CUSTOM INDICATOR
- Custom Indicator defines harcoded in the source code.
- You can call it with "CUST" in the Indicator definition source or combination entries source
- You can change or implement your custom indicator by updating the source code
EXTERNAL INDICATOR
- You can import an external indicator by selecting it from the ext source.
- External Indicator should be already imported to the chart and it have an plot function to output its signal
EXPORTING SIGNAL
- You can export your result to an already defined strategy template such as Pine coders, Benson, Daveatt Strategy templates
- Or you can define your custom export for other future strategy templates
ALERTS
- By enabling show alerts checkbox, you can see long entry exits on the bottom, and short entry exits aon the top of the chart
ADDITIONAL INFO
- You can see all off the inputs descriptions in the tooltips. (You can also see the previous version for details)
- Availability to set start, end dates
- Minimize repainting by using security function options (Secure, Semi Secure, Repaint)
- Availability of use timeframes
-
Version 3 INDICATORS LIST (More to be added):
▼▼▼ OVERLAY INDICATORS ▼▼▼
alma(src,len,offset=0.85,sigma=6).-------Arnaud Legoux Moving Average
ama(src,len,fast=14,slow=100).-----------Adjusted Moving Average
accdist().-------------------------------Accumulation/distribution index.
cma(src,len).----------------------------Corrective Moving average
dema(src,len).---------------------------Double EMA (Same as EMA with 2 factor)
ema(src,len).----------------------------Exponential Moving Average
gmma(src,len).---------------------------Geometric Mean Moving Average
highest(src,len).------------------------Highest value for a given number of bars back.
hl2ma(src,len).--------------------------higest lowest moving average
hma(src,len).----------------------------Hull Moving Average.
lagAdapt(src,len,perclen=5,fperc=50).----Ehlers Adaptive Laguerre filter
lagAdaptV(src,len,perclen=5,fperc=50).---Ehlers Adaptive Laguerre filter variation
laguerre(src,len).-----------------------Ehlers Laguerre filter
lesrcp(src,len).-------------------------lowest exponential esrcpanding moving line
lexp(src,len).---------------------------lowest exponential expanding moving line
linreg(src,len,loffset=1).---------------Linear regression
lowest(src,len).-------------------------Lovest value for a given number of bars back.
mcginley(src, len.-----------------------McGinley Dynamic adjusts for market speed shifts, which sets it apart from other moving averages, in addition to providing clear moving average lines
percntl(src,len).------------------------percentile nearest rank. Calculates percentile using method of Nearest Rank.
percntli(src,len).-----------------------percentile linear interpolation. Calculates percentile using method of linear interpolation between the two nearest ranks.
previous(src,len).-----------------------Previous n (len) value of the source
pivothigh(src,BarsLeft=len,BarsRight=2).-Previous pivot high. src=src, BarsLeft=len, BarsRight=p1=2
pivotlow(src,BarsLeft=len,BarsRight=2).--Previous pivot low. src=src, BarsLeft=len, BarsRight=p1=2
rema(src,len).---------------------------Range EMA (REMA)
rma(src,len).----------------------------Moving average used in RSI. It is the exponentially weighted moving average with alpha = 1 / length.
sar(start=len, inc=0.02, max=0.02).------Parabolic SAR (parabolic stop and reverse) is a method to find potential reversals in the market price direction of traded goods.start=len, inc=p1, max=p2. ex: sar(0.02, 0.02, 0.02)
sma(src,len).----------------------------Smoothed Moving Average
smma(src,len).---------------------------Smoothed Moving Average
super2(src,len).-------------------------Ehlers super smoother, 2 pole
super3(src,len).-------------------------Ehlers super smoother, 3 pole
supertrend(src,len,period=3).------------Supertrend indicator
swma(src,len).---------------------------Sine-Weighted Moving Average
tema(src,len).---------------------------Triple EMA (Same as EMA with 3 factor)
tma(src,len).----------------------------Triangular Moving Average
vida(src,len).---------------------------Variable Index Dynamic Average
vwma(src,len).---------------------------Volume Weigted Moving Average
volstop(src,len,atrfactor=2).------------Volatility Stop is a technical indicator that is used by traders to help place effective stop-losses. atrfactor=p1
wma(src,len).----------------------------Weigted Moving Average
vwap(src_).------------------------------Volume Weighted Average Price (VWAP) is used to measure the average price weighted by volume
▼▼▼ NON OVERLAY INDICATORS ▼▼
adx(dilen=len, adxlen=14, adxtype=0).----adx. The Average Directional Index (ADX) is a used to determine the strength of a trend. len=>dilen, p1=adxlen (default=14), p2=adxtype 0:ADX, 1:+DI, 2:-DI (def:0)
angle(src,len).--------------------------angle of the series (Use its Input as another indicator output)
aroon(len,dir=0).------------------------aroon indicator. Aroons major function is to identify new trends as they happen.p1 = dir: 0=mid (default), 1=upper, 2=lower
atr(src,len).----------------------------average true range. RMA of true range.
awesome(fast=len=5,slow=34,type=0).------Awesome Oscilator is an indicator used to measure market momentum. defaults : fast=len= 5, p1=slow=34, p2=type: 0=Awesome, 1=difference
bbr(src,len,mult=1).---------------------bollinger %%
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(src,len).----------------------------commodity channel index
cctbbo(src,len).-------------------------CCT Bollinger Band Oscilator
change(src,len).-------------------------A.K.A. Momentum. Difference between current value and previous, source - source . is most commonly referred to as a rate and measures the acceleration of the price and/or volume of a security
cmf(len=20).-----------------------------Chaikin Money Flow Indicator used to measure Money Flow Volume over a set period of time. Default use is len=20
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(src,len).----------------------------The cog (center of gravity) is an indicator based on statistics and the Fibonacci golden ratio.
copcurve(src,len).-----------------------Coppock Curve. was originally developed by Edwin Sedge Coppock (Barrons Magazine, October 1962).
correl(src,len).-------------------------Correlation coefficient. Describes the degree to which two series tend to deviate from their ta.sma values.
count(src,len).--------------------------green avg - red avg
cti(src,len).----------------------------Ehler s Correlation Trend Indicator by
dev(src,len).----------------------------ta.dev() Measure of difference between the series and its ta.sma
dpo(len).--------------------------------Detrended Price OScilator is used to remove trend from price.
efi(len).--------------------------------Elders Force Index (EFI) measures the power behind a price movement using price and volume.
eom(len=14,div=10000).-------------------Ease of Movement.It is designed to measure the relationship between price and volume.p1 = div: 10000= (default)
falling(src,len).------------------------ta.falling() Test if the `source` series is now falling for `length` bars long. (Use its Input as another indicator output)
fisher(len).-----------------------------Fisher Transform is a technical indicator that converts price to Gaussian normal distribution and signals when prices move significantly by referencing recent price data
histvol(len).----------------------------Historical volatility is a statistical measure used to analyze the general dispersion of security or market index returns for a specified period of time.
kcr(src,len,mult=2).---------------------Keltner Channels Range
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.
klinger(type=len).-----------------------Klinger oscillator aims to identify money flow’s long-term trend. type=len: 0:Oscilator 1:signal
macd(src,len).---------------------------MACD (Moving Average Convergence/Divergence)
mfi(src,len).----------------------------Money Flow Index s a tool used for measuring buying and selling pressure
msi(len=10).-----------------------------Mass Index (def=10) is used to examine the differences between high and low stock prices over a specific period of time
nvi().-----------------------------------Negative Volume Index
obv().-----------------------------------On Balance Volume
pvi().-----------------------------------Positive Volume Index
pvt().-----------------------------------Price Volume Trend
ranges(src,upper=len, lower=-5).---------ranges of the source. src=src, upper=len, v1:lower=upper . returns: -1 source=upper otherwise 0
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(src,len).----------------------------Rate of Change
rsi(src,len).----------------------------Relative strength Index
rvi(src,len).----------------------------The Relative Volatility Index (RVI) is calculated much like the RSI, although it uses high and low price standard deviation instead of the RSI’s method of absolute change in price.
smi_osc(src,len,fast=5, slow=34).--------smi Oscillator
smi_sig(src,len,fast=5, slow=34).--------smi Signal
stc(src,len,fast=23,slow=50).------------Schaff Trend Cycle (STC) detects up and down trends long before the MACD. Code imported from
stdev(src,len).--------------------------Standart deviation
trix(src,len) .--------------------------the rate of change of a triple exponentially smoothed moving average.
tsi(src,len).----------------------------The True Strength Index indicator is a momentum oscillator designed to detect, confirm or visualize the strength of a trend.
ultimateOsc(len.-------------------------Ultimate Oscillator indicator (UO) indicator is a technical analysis tool used to measure momentum across three varying timeframes
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.
willprc(src,len).------------------------Williams %R
wad().-----------------------------------Williams Accumulation/Distribution.
wvad().----------------------------------Williams Variable Accumulation/Distribution.
HISTORY
v3.01
ADD: 23 new indicators added to indicators list from the library. Current Total number of Indicators are 93. (to be continued to adding)
ADD: 2 more Parameters (P1,P2) for indicator calculation added. Par:(Use Defaults) uses only indicator(Source, Length) with library's default parameters. Par:(Use Extra Parameters P1,P2) use indicator(Source,Length,p1,p2) with additional parameters if indicator needs.
ADD: log calculation (simple, log10) option added on indicator function entries
ADD: New Output Signals added for compatibility on exporting condition signals to different Strategy templates.
ADD: Alerts Added according to conditions results
UPD: Indicator source inputs now display with indicators descriptions
UPD: Most off the source code rearranged and some functions moved to the new library. Now system work like a little bit frontend/backend
UPD: Performance improvement made on factorization and other source code
UPD: Input GUI rearranged
UPD: Tooltips corrected
REM: Extended indicators removed
UPD: IND1-IND4 added to indicator data source. Now it is possible to create new indicators with the previously defined indicators value. ex: IND1=ema(close,14) and IND2=rsi(IND1,20) means IND2=rsi(ema(close,14),20)
UPD: Custom Indicator (CUST) added to indicator data source and Combination Indicator source.
UPD: Volume added to indicator data source and Combination Indicator source.
REM: Custom indicators removed and only one custom indicator left
REM: Plot Type "Org. Range (-1,1)" removed
UPD: angle, rising, falling type operators moved to indicator library
RSI Trend LineI took a concept similar to the "Adaptive RSI" to get the RSI overlaid on a price chart. The problem I have with the Adaptive RSI is to me it sticks too closely to price. I wanted something much more visually helpful that can provide actual tradable signals and strategies.
The orange line you are seeing is the "RSI Trend Line"
The further the RSI moves away from a value of 50 (the "zero line"), the more you see this orange line move away from price. This helps visualize the strength of price pushing away from a neutral value to a position of strength or weakness-- if orange is below price then relative strength is high; if orange is above price then relative strength is low. When price is equal to the orange RSI line, the RSI is at a value of 50.
In addition to the trend line, you can enable bands which reflect Overbought and Oversold levels . If you leave the responsiveness to a value of 1.0 and removed any smoothing, these should pretty accurately reflect an actual RSI chart topping the OB and OS lines (default 70 and 30, respectively). (They're still very close with different responsiveness and smoothing values)
The conversion or scaling of RSI value onto price comes with a bit of a quirk which I decided to leave to the user to determine how they want it applied. So the setting "Responsiveness" will impact the sort of aggressiveness of the RSI trend line as well as the the size of the bands. You could think of this in some ways as the OPPOSITE of the multiple setting on a Bollinger or Keltner band-- 1.0 will make for the widest band, 2.0 is the default and my preference, and you can move it up to a value of 5.0.
Here are some examples of how you could use the indicator for trade signals--
And here's my thought on the current state (as of 10/06) on indices with regards to this indicator-
Combo Backtest 123 Reversal & Relative Momentum Index This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The Relative Momentum Index (RMI) was developed by Roger Altman. Impressed
with the Relative Strength Index's sensitivity to the number of look-back
periods, yet frustrated with it's inconsistent oscillation between defined
overbought and oversold levels, Mr. Altman added a momentum component to the RSI.
As mentioned, the RMI is a variation of the RSI indicator. Instead of counting
up and down days from close to close as the RSI does, the RMI counts up and down
days from the close relative to the close x-days ago where x is not necessarily
1 as required by the RSI). So as the name of the indicator reflects, "momentum" is
substituted for "strength".
WARNING:
- For purpose educate only
- This script to change bars colors.
Market Strength ScannerHey traders, this is a table-based market relative strength and true strength scanner, designed to allow the users to get data from multiple pairs without having to go onto that pair for their strength's. This indicator uses functions to fetch data from other pairs so that the code is optimised and prevents slow loading. Furthermore, the indicator is easy to understand and use as there isn't a lot of settings for it, you can adjust the length of the true strength index or the relative strength index through one input box, you can change the data type from RSI to TSI without changing the code, and you can customise what pairs you want to display. Furthermore, the user can set alerts for the pairs that they want to have such as setting alerts for overbought and oversold zones. That's all to this indicator and I hope it is of use to some people :)
RelativeStrengthComparative_IBD_YRKI am publising Relative Strength Comparative.
It is be used to compare a Stock's Performance against another stock/index (Default NIFTY50)
I also devised a Plot RS Rating which is inspired from IBD's RS Rating and matches to some extent. You can turn off/on the RS Rating as per need.
Example: ITC vs NIFTY 50 it will be ITC / NIFTY
The Indicator can be used in Multiple ways:
1) Check Relative Strength
2) Check RS Rating (This is not Accurate as of now since IBD compares the ratings of all the stocks in an Exchange)
3) Can be used as a Spread Chart for the Division (We need to not divide every time we change Stocks)
4) Design a Template exactly as MarketSmith by using the TradingView feature of "Move to --> Existing Pane Above"
The Formula i used for RS Rating is below with more weightage on the 3 month performance and lesser on 12 month Performance. I am open to Modification of this Formula if a better suggestion
// relative strength IBD style
ThreeMthRS = 0.4*(close/close)
SixMthRS = 0.2*(close/(close*2))
NineMthRS = 0.2*(close/(close*3))
TwelveMthRS = 0.2*(close/(close*4))
Choppiness Index and RSI by ceyhun
Choppiness Index and RSI by ceyhun
This indicator is based on the inverse relationship between CHOP and RSI.
Bar color
If the RSI is greater than CHOP, the Bar color will be blue.
If CHOP is greater than RSI, the bar color will be red.
CHOP
If CHOP is less than 38.2, the color will turn blue. positive
If the CHOP is between 38.2 and 61.8, the color will be yellow and neutral.
If CHOP is greater than 61.8, the color will turn red. negative
Rsi
If Rsi is greater than 61.8, the color will turn blue, positive
If Rsi is between 38.2 and 61.8, the color will be hexagonal and neutral
If Rsi is less than 38.2 the color will be red, negative
The Choppiness Index (CHOP) is an indicator designed to determine if the market is choppy (trading sideways) or not choppy (trading within a trend in either direction). The Choppiness Index is an example of an indicator that is not directional at all. CHOP is not meant to predict future market direction, it is a metric to be used to for defining the market's trendiness only. A basic understanding of the indicator would be; higher values equal more choppiness, while lower values indicate directional trending.
Relative Strength Index (RSI)
The Relative Strength Index (RSI) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. Essentially the RSI, when graphed, provides a visual mean to monitor both the current, as well as historical, strength and weakness of a particular market. The strength or weakness is based on closing prices over the duration of a specified trading period creating a reliable metric of price and momentum changes. Given the popularity of cash settled instruments (stock indexes) and leveraged financial products (the entire field of derivatives); RSI has proven to be a viable indicator of price movements.
MAs & RSI strategy long onlyThis system originates from many articles by Enrico Malverti, Trading System, 2015.
Many trading systems are more stable if you use simple and not so innovative indicators, like exponential moving averages and Relative Strengthe index.
Differently by the original article:
- there is no ATR Filter, but we have introduced a Schaff Indicator. If you have multiple shares/commodities to choose, prefer what has a better value of Schaff;
- there is no fixed stop loss but a second moving average (fast), used as target. There are also Simple Mov Averages on lows (trailing stop loss for long) and a SMA on highs (trailing stop loss for short position).
Be careful, in the system only long case, because being short is not the reverse of being long (as stated in my blog)
SMA on highs are therefore only graphically put.
In this version, I’ve changed the “religious” use of EMAs (“sponsored by” Alexander Elder) to “ordinary” MAs: this because since simple moving averages measure all the factor in addition egual each one, this involve a sort of “offset” in the graph, while EMAs give a major “importance” to the last value (last close itself, you’re already considering): therefore this calculation may be counterproductive.
HOW TO OPERATE
BUY when prices crosses over SMAon long period (we suggest, however, sma long = Sma fast period = no. 11 for italian and european shares)
SELL when
prices go under SMA on lows (7 period), or under on SMA fast!
RSI crosses under level 70 or is higher than 75 (or 80, but in code there is 75)
(JS) Ultimate RSISo my goal here was to combine all of my RSI ideas into a single indicator in order to make kind of a "Swiss Army Knife" version of the Relative Strength Index ...
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So, let's begin with the first RSI indicator I made, which is the RSIDVW (Divergence/Volume Weighted);
To rephrase my original post, the "divergence/volume weighted" portion is meant to expand upon the current RSI format by adding more variables into the equation.
The standard RSI is based off one value that you select (open, close, OHLC4, HLC3, etc.) while this version takes three variables into account.
The default setting is to have RSI normal without anything added to it (Divergence Weight = 0)
1st - it takes the standard variable that RSI normally uses.
2nd - it factors RSI divergence by taking the RSI change % and price change % to form a ratio. Using this ratio, I duplicated the RSI formula and created a divergence RS to be factored in with the standard price RS .
3rd - it takes Relative Volume and amplifies/weakens the move based upon volume confirmation. (So if Relative Volume for a price bar is 1.0, the RSI plot would be the same as it normally would)
So to explain the parameters
- Relative Volume Length: This uses the RV length you specify to determine spikes in volume (or lack of volume ), which then is added into the formula to influence the strength of the RSI move
- RV x Divergence: This is how I calculated the original formula, but you can leave this unchecked to turn Relative Volume off, or apply elsewhere.
- RV x RS: There's two sides, Divergence RS and Standard RS - these check marks allow you to select which part you prefer to be multiplied by Relative Volume .
Checking neither turns off Relative Volume , while checking both amplifies its effects by placing it on both sides of the equation.
-Divergence Weight: This controls how much the DVW portion of the formula influences the RSI plot. As I referred to earlier, default is 0 making RSI normal. The Scale is 0-2, so 1.0 would be the same as 50%.
When I do have DVW on, I generally set it to 0.5
-SMA Divergence: To smooth, or not to smooth, that is the question. UJsing an SMA here is much smoother in my opinon, but leaving it unchecked runs it through an RMA the same way standard RSI is calculated.
-Show Fractal Channel: This allows you to see the whole fractal channel around the RSI (This portion of the code, compliments of the original Ricardo Santos fractal script)
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The next portion of the script is adding a "Slow RSI"...
This is rather simple really, it allows you to add a second RSI plot so that you can watch for crossovers between fast and slow lines.
-Slow RSI: This turns on the second RSI Plot.
-Slow RSI Length: This determines the length of the second RSI Plot.
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Pivot Point RSI was something a friend of mine requested I make which turned out pretty cool, I thought... It is also available in this indicator.
-Pivot Points: Selecting this enables the rest of the pivot point related parts of the script
If Pivot Points isn't selected, none of the following things will work
-Plot Pivot: Plots the pivot point .
-Plot S1/R1: Plots S1/R1.
-Plot S2/R2: Plots S2/R2.
-Plot S3/R3: Plots S3/R3.
-Plot S4/R4: Plots S4/R4.
-Plot S5/R5: Plots S5/R5.
-Plot Halfway Points: Plots a line between each pivot .
-Show Pivot Labels: Shows the proper label for each pivot .
When using intraday charts, from a 15 minute interval or less the pivots are calculated based on a single days worth of price action, above that the distance expands.
Here are the current resolutions Pivot Points will work with:
Minutes - 1 , 2, 3, 5, 10, 13, 15, 20, 30, 39, 78, 130, 195
Hours - 1, 2, 3, 4, 5, 6
Daily
Weekly
Currently not available on seconds or monthly
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Background Colors
Background Colors: I have six color schemes I created for this which can be toggled here (they can be edited).
Gray Background for Dark Mode: Having this on looks much better when using dark mode on your charts.
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Now finally the last portion, Fibonacci Levels
-Fibonacci Levels: This is off, by default, which then uses the standard levels on RSI (30-50-70). When turned on, it removes these and marks fib levels from 0.146 through 0.886.
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So the quick rundown:
Ultimate RSI contains "divergence/volume weighted" modifications, a slow RSI plot, pivot points , and Fibonacci levels all while auto-plotting divergence and having the trend illustrated in the background colors.
RSI has always been my "go to" indicator, so I hope you all enjoy this as much as I do!
Rumpy's Dynamic Momentum IndexNote : I haven't been able to determine from the info I've found whether the variable length is used for the average gain/loss part of the calculation and/or for the relative strength portion of the calculation . If anyone knows for certain please let me know.
Type A only uses the variable length for the final relative strength calculation and the fixed RSI length for the average gain/loss.
Type B uses the variable length for both.
I do suspect that Type B is correct though as it is a lot more sensitive to momentum changes while Type A tends to just exaggerate normal RSI
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This indicator, developed by Tushar Chande and Stanley Kroll, is similar to the relative strength index (RSI). The main difference between the two is that the RSI uses a fixed number of time periods (usually 14) in its calculation, while the dynamic momentum index uses different time periods as volatility changes, typically between five and 30.
The dynamic momentum index uses fewer periods in its calculation when volatility is high, and more periods when volatility is low.
The number of time periods used in the dynamic momentum index decreases as volatility in the underlying security increases, making this indicator more responsive to changing prices than the RSI. This is particularly useful when an asset's price moves quickly as it approaches key support or resistance levels. Because the indicator is more sensitive, traders can potentially find earlier entry and exit points than with the RSI.
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If you find it useful please consider a tip/donation :
BTC - 3BMEXEDyWJ58eXUEALYPadbn1wwWKmf6sA
[ALERTS] ADX and DIThe average directional index (ADX) is a technical analysis metric. Analysts use it to determine the relative strength of a trend, with the direction of the trend either upwards or downwards.
The Average Directional Index (ADX) along with the Negative Directional Indicator (-DI) and the Positive Directional Indicator (+DI) are momentum strength indicators that evolved for use in stock trading. Commodities trader J. Welles Wilder pioneered their use. Technical traders who use charting techniques want to know when first spotting a shifting trend how strong that trend is and how likely it is to sustain itself over time. The ADX helps investors determine trend strength as they plan their investment strategies.
Confirmation on a chart and other momentum indicators help investors spot trend reversals. But some trends are more potent than others and investors want to better understand the strength of a trend. The ADX identifies a strong positive trend when the ADX is over 25 and a weak trend when the ADX is below 20. Investors can determine directional movement by analyzing the difference between two consecutive low prices and their correlated highs. The movement is +DM when the current high price, less the previous high price, is greater than the previous low price less the current low. The opposite applies in determining the negative or –DI.
When analyzing charts, stock price is the single most important variable to follow. ADX and other indicators are supplementary to price movements in providing additional directional information and support. For example, some of the best trends come about from price range consolidation. It is those tugs of war between buying and selling volumes that lead to breakouts and other trading opportunities.
The Inventor of the Average Directional Index
J. Welles Wilder, Jr. is a former American engineer and real estate developer who went on to revolutionize trading analysis by applying mathematical systems to the world of investing. In addition to developing the ADX, Wilder is also responsible for several other commonly used technical analysis tools including the Average True Range (ATR), the Relative Strength Index (RSI) and the Parabolic SAR.
www.investopedia.com
This script has alerts and includes the filter for markets with no trend defined.
Green Alert --> Long
Red Alert --> Short
Yellow Area --> Weak trend. ADX below threshold
Green candles --> Bullish Market
Red Candles --> Bearish Market
Orange candles --> No defined trend
Enjoy!
Relative Momentum Index Backtest The Relative Momentum Index (RMI) was developed by Roger Altman. Impressed
with the Relative Strength Index's sensitivity to the number of look-back
periods, yet frustrated with it's inconsistent oscillation between defined
overbought and oversold levels, Mr. Altman added a momentum component to the RSI.
As mentioned, the RMI is a variation of the RSI indicator. Instead of counting
up and down days from close to close as the RSI does, the RMI counts up and down
days from the close relative to the close x-days ago where x is not necessarily
1 as required by the RSI). So as the name of the indicator reflects, "momentum" is
substituted for "strength".
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
Relative Momentum Index Strategy The Relative Momentum Index (RMI) was developed by Roger Altman. Impressed
with the Relative Strength Index's sensitivity to the number of look-back
periods, yet frustrated with it's inconsistent oscillation between defined
overbought and oversold levels, Mr. Altman added a momentum component to the RSI.
As mentioned, the RMI is a variation of the RSI indicator. Instead of counting
up and down days from close to close as the RSI does, the RMI counts up and down
days from the close relative to the close x-days ago where x is not necessarily
1 as required by the RSI). So as the name of the indicator reflects, "momentum" is
substituted for "strength".
WARNING:
- This script to change bars colors.
Currency Relative Strengths V.2 [GM]Version 2 Updates
Speed has been increased by ~7X
Highest and lowest pairs now highlighted using brighter colors
Re-ordered pairs from highest to lowest 'flight to risk' rating
I created this tool for the purpose of determining strongest and weakest currencies over different periods of time. Each major currency is compared to the field of other majors and its average change is measured over a predetermined period of time. The result is displayed as a percentage. I use it for trend following but it can also be used to fade exhaustion.
Instructions
Add indicator to chart
Select a time frame under settings
Place cursor over period of interest
Click "Data Window" on right hand side bar
View % change avg values for each currency
Relative Momentum Index The Relative Momentum Index (RMI) was developed by Roger Altman. Impressed
with the Relative Strength Index's sensitivity to the number of look-back
periods, yet frustrated with it's inconsistent oscillation between defined
overbought and oversold levels, Mr. Altman added a momentum component to the RSI.
As mentioned, the RMI is a variation of the RSI indicator. Instead of counting
up and down days from close to close as the RSI does, the RMI counts up and down
days from the close relative to the close x-days ago where x is not necessarily
1 as required by the RSI). So as the name of the indicator reflects, "momentum" is
substituted for "strength".
Trend FollowingThis indicator acts as an all-in-one "Head-Up Display" for Swing Trading. It takes complex criteria—trend, volume, volatility, and market strength—and simplifies them into clear visual signals.
🚦 How It Works (The Traffic Light System)
Instead of guessing if a stock is in a valid setup, just look at the background color:
Green Background: The "Context" is good. The stock has ignited, is trending above key moving averages (10/20/50), and is near 52-week highs.
Lime (Bright Green) Background: Elite Setup. The stock has good context AND high Relative Strength vs the S&P 500. These are your A+ candidates.
No Color: The trend is weak or broken. Move on.
🔍 Key Features
1. The "Tightness" Monitor (VCP) Great breakouts happen when volatility dries up (the "calm before the storm").
Blue "T" Label: Marks bars where price range and volume have tightened significantly.
Base Box: Automatically draws a box around the consolidation area so you can see the "Floor" and the "Ceiling" clearly.
2. Pocket Pivots (New in v8.0)
Blue Dots: These signal "Pocket Pivots"—days where institutional buying volume is quietly stepping in before the breakout occurs. Think of these as "footprints" of smart money.
3. Relative Strength (RS) Filter
This doesn't just look at the stock price. It checks if the stock is outperforming the S&P 500 (SPY).
Dashboard Status: Tells you instantly if the RS Rating is "ELITE" (Leaders) or "LAGGING" (Laggards).
4. Safety Checks
Earnings Warning: A dashed yellow line appears if Earnings are less than 5 days away. Don't get caught by surprise!
Surfing Mode: Detects when a stock is "surfing" the 5-day Moving Average for aggressive momentum trades.
🛠 How to Trade With It
Find the Trend: Look for stocks with a Green/Lime Background.
Wait for the Squeeze: Look for Blue "T" labels or the Gray Box to form. This means the stock is resting.
Spot the Entry: Watch for a Blue Dot (Pocket Pivot) for an early entry, or wait for the price to break above the White Breakout Line.
BAVC (Clone) Rolling Curves, Peak MarkersBAVC (Clone) — Rolling Curves + Peak Markers
BAVC (Clone) is a volume-based momentum and participation indicator designed to visualize aggressive buying vs aggressive selling pressure using rolling volume curves and structural peak detection.
This script is a functional clone of a Bid/Ask Volume Curve concept, implemented using approximated volume splitting (uptick/downtick or close vs open) so it works on standard TradingView data without requiring true bid/ask feeds.
What the Indicator Shows
1. Rolling Buy & Sell Volume Curves
Volume is split into Buy (aggressive buyers) and Sell (aggressive sellers) using a selectable approximation method.
Each side is accumulated over a configurable lookback window.
Optional EMA smoothing is applied to reduce noise and highlight participation trends.
Interpretation:
Rising Buy Curve → increasing buyer dominance
Rising Sell Curve → increasing seller dominance
Expanding separation → stronger directional conviction
Convergence / flattening → balance, absorption, or transition
2. Adaptive Color Intensity (Optional)
Curve opacity can remain fixed or
Automatically adapt based on relative dominance strength
Stronger imbalances visually stand out without adding extra indicators
3. Structural Peak & Trough Detection
The script identifies significant local extremes in both curves:
Buy-side peaks & troughs
Sell-side peaks & troughs
Each peak is filtered using:
Swing width (bars left/right)
Relative strength vs recent maximum
Minimum depth for troughs
Markers can be displayed as:
Circles directly on the curves, or
Minimal labels (▲ / ▼)
Interpretation:
Buy-side highs → possible exhaustion or distribution
Buy-side lows → loss of initiative / absorption
Sell-side highs → aggressive selling climax
Sell-side lows → selling pressure weakening
4. Alerts
Optional alerts fire when:
A significant Buy-side peak forms
A significant Buy-side trough forms
A significant Sell-side peak forms
A significant Sell-side trough forms
These are intended as contextual signals, not standalone trade triggers.
5. Status Line Helper
An optional real-time status label displays:
Lookback settings
Current rolling Buy and Sell volume sums
This is useful for quick confirmation without opening the settings panel.
Important Notes
This indicator uses volume behavior, not price.
It is best used as a confirmation tool alongside:
Structure
Time-based context
VWAP / trend filters
It does not generate buy or sell signals by itself.
Best Use Cases
Spotting institutional participation
Confirming trend strength or exhaustion
Identifying absorption before reversals
Filtering low-quality entries during choppy periods
Refined Liquidity Flow IndicatorRefined Liquidity Flow Indicator - How It Works
The Refined Liquidity Flow Indicator is designed to help traders identify the flow of liquidity into and out of the market based on multiple technical factors. It combines price movement, market sentiment, volatility, and volume to give a comprehensive view of market conditions. The indicator gives buy and sell signals by calculating the flow of liquidity based on these factors.
Key Components of the Indicator:
Liquidity Flow Calculation:
The core of the indicator is the liquidity flow calculation, which is based on several factors:
Liquidity Flow=(V×ΔP)+(α×ATR)+(β×RSI)+(γ×ΔP)
Where:
𝑉 is the volume (the amount of trading activity).
ΔP is the price change (the difference between the current and previous closing price).
ATR (Average True Range) is used to measure market volatility.
RSI (Relative Strength Index) reflects market sentiment.
𝛼 𝛽 𝛾
are adjustable weights (parameters) that allow you to control how much influence each factor has on the liquidity flow calculation.
Key Indicators:
Volume (V): The amount of trades occurring in the market. A high volume indicates more activity, which is essential for confirming liquidity flow.
Price Change (ΔP): The difference between the current price and the previous price, which helps assess the strength and direction of the market move.
ATR (Average True Range): A measure of market volatility, indicating how much the price fluctuates over a specified period. A higher ATR suggests greater volatility, which often corresponds with a greater flow of liquidity.
RSI (Relative Strength Index): A momentum oscillator that measures whether a market is overbought or oversold. The RSI can help determine whether the market sentiment is bullish or bearish.
How to Use the Indicator:
Set Up: After adding the Refined Liquidity Flow Indicator to your chart, you can adjust the following settings directly from the indicator's settings panel:
α: Weight for volatility (ATR).
β: Weight for market sentiment (RSI).
γ: Weight for price change.
ATR Length: Customize the period for the ATR.
RSI Length: Customize the period for the RSI.
SMA Length: Customize the period for the Simple Moving Average.
Interpreting Signals:
Green Signal (Liquidity In): Indicates that liquidity is entering the market. This often signals a potential buy opportunity when the price is moving upwards with strong volume and market sentiment.
Red Signal (Liquidity Out): Indicates that liquidity is leaving the market. This typically signals a potential sell opportunity when the price is moving downwards with strong volume and market sentiment.
Fine-Tuning for Your Strategy:
By adjusting the weights and the lengths of the indicators, you can fine-tune the indicator to match your trading style. For example, if you want to give more weight to price movements, you can increase γ. If you want to focus more on market sentiment, adjust β.
Bitcoin vs. S&P 500 Performance Comparison**Full Description:**
**Overview**
This indicator provides an intuitive visual comparison of Bitcoin's performance versus the S&P 500 by shading the chart background based on relative strength over a rolling lookback period.
**How It Works**
- Calculates percentage returns for both Bitcoin and the S&P 500 (ES1! futures) over a specified lookback period (default: 75 bars)
- Compares the returns and shades the background accordingly:
- **Green/Teal Background**: Bitcoin is outperforming the S&P 500
- **Red/Maroon Background**: S&P 500 is outperforming Bitcoin
- Displays a real-time performance difference label showing the exact percentage spread
**Key Features**
✓ Rolling performance comparison using customizable lookback period (default 75 bars)
✓ Clean visual representation with adjustable transparency
✓ Works on any timeframe (optimized for daily charts)
✓ Real-time performance differential display
✓ Uses ES1! (E-mini S&P 500 continuous futures) for accurate comparison
✓ Fine-tuning adjustment factor for precise calibration
**Use Cases**
- Identify market regimes where Bitcoin outperforms or underperforms traditional equities
- Spot trend changes in relative performance
- Assess risk-on vs risk-off periods
- Compare Bitcoin's momentum against broader market conditions
- Time entries/exits based on relative strength shifts
**Settings**
- **S&P 500 Symbol**: Default ES1! (can be changed to SPX or other indices)
- **Lookback Period**: Number of bars for performance calculation (default: 75)
- **Adjustment Factor**: Fine-tune calibration to match specific data feeds
- **Transparency Controls**: Customize background shading intensity
- **Show/Hide Label**: Toggle performance difference display
**Best Practices**
- Use on daily timeframe for swing trading and position analysis
- Combine with other momentum indicators for confirmation
- Watch for color transitions as potential regime change signals
- Consider using multiple timeframes for comprehensive analysis
**Technical Details**
The indicator calculates rolling percentage returns using the formula: ((Current Price / Price ) - 1) × 100, then compares Bitcoin's return to the S&P 500's return over the same period. The background color dynamically updates based on which asset is showing stronger performance.
Distance Dashboard (50DMA / 52W High / 20DMA)Distance Dashboard – Summary
The Distance Dashboard indicator provides a quick snapshot of where price is positioned relative to three key reference points:
Distance of current HIGH from the 50-day moving average (50DMA)
Helps gauge how extended price is above or below medium-term trend support.
Distance of current LOW from the 52-week HIGH
Shows how far price has pulled back from long-term highs.
Distance of current HIGH from the 20-day moving average (20DMA)
Measures short-term extension and potential overbought/overextended behaviour.
The indicator displays these values in a clean, movable table directly on the price chart.
It does not affect chart scaling and is designed for quick visual assessment of trend extension and relative strength.
Normalised Volume Oscillator [BackQuant]Normalised Volume Oscillator
A refined evolution of the Klinger Volume Oscillator, rebuilt for clarity, precision, and adaptability. This tool normalizes volume-driven momentum into a bounded scale so you can easily identify shifts in accumulation and distribution across any asset or timeframe, while keeping readings comparable between markets.
What this indicator does
The Normalised Volume Oscillator quantifies the balance between buying and selling pressure using the Klinger Volume Oscillator (KVO) as its base, then rescales it dynamically into a normalized range between -0.5 and +0.5. This normalization allows traders to interpret relative strength and exhaustion in volume flow, rather than dealing with raw unbounded values that differ across symbols.
It is a momentum-volume hybrid that reveals the strength of trend participation: when buyers dominate, normalized readings rise toward +0.5; when sellers dominate, they fall toward -0.5. The midline (0) acts as an equilibrium between accumulation and distribution.
Core components
Klinger Volume Oscillator: The foundation of this indicator, combining volume with price trend direction to measure long-term money flow relative to short-term movement.
Normalization process: The raw KVO is scaled over a user-defined Normalisation Period , computing `(KVO - lowest) / (highest - lowest) - 0.5`. This centers all readings around zero, allowing overbought/oversold detection independent of asset volatility or volume magnitude.
Signal moving average: The normalized KVO is smoothed with a user-selectable moving average type—SMA, EMA, DEMA, TEMA, HMA, ALMA, and others. This becomes the signal line for confirmation of trend direction or mean-reversion setups.
How it works conceptually
1. The KVO detects when volume supports price movement (bullish) or diverges from it (bearish).
2. The script normalizes the raw KVO so that relative magnitude is consistent—what is “strong buying pressure” looks the same on BTCUSD as it does on AAPL.
3. Overbought and oversold regions are derived statistically, rather than from arbitrary values, based on percentile zones around ±0.4 and ±0.5.
4. The oscillator is optionally combined with a moving average to help identify crossovers, momentum shifts, and divergence confirmation.
How to interpret it
Above 0: Indicates dominant buying pressure and likely continuation of upward momentum.
Below 0: Suggests dominant selling pressure and potential continuation of downward movement.
Crosses of 0: Often mark transitions between accumulation and distribution phases.
+0.4 to +0.5 zone: Overbought region where buying intensity is stretched; watch for deceleration or divergence.
[-0.4 to -0.5 zone: Oversold region indicating panic or exhaustion in selling.
Signal-line crossover: A traditional momentum confirmation method; when the normalized KVO crosses above its moving average, buyers regain control, and vice versa.
Why normalization matters
Typical volume oscillators are asset-specific—what is considered “high” volume for one symbol is not the same for another. By dynamically normalizing KVO values within a rolling lookback, this version transforms raw amplitude into a standardized scale. This means you can:
Compare multiple assets objectively.
Set consistent alert thresholds for overbought/oversold regions.
Avoid misleading interpretations from absolute oscillator values.
Customization and UI
Moving Average Type & Period: Select your preferred smoothing method (SMA, EMA, TEMA, etc.) and adjust its period to tune sensitivity.
Normalisation Period: Defines how many bars the KVO range is measured over; shorter periods adapt faster, longer ones smooth more.
Visual Toggles:
* Show Oscillator : enables or hides the core histogram.
* Show Moving Average : adds a smoothed overlay for signal confirmation.
* Paint Candles : optional color overlay for chart candles based on oscillator direction.
* Show Static Levels : displays ±0.4 and ±0.5 zones for overbought/oversold boundaries.
How to use it
Trend confirmation: Use midline (0) crossovers as confirmation of emerging trend shifts—cross above 0 suggests a new bullish phase, cross below 0 a bearish one.
Reversal spotting: Look for normalized readings reaching ±0.5 and flattening, or diverging against price extremes.
Divergence analysis: When price makes a new high but the normalized oscillator fails to, it signals waning buying conviction (and vice versa for lows).
Multi-timeframe integration: Works best alongside higher timeframe trend filters or moving averages; normalization makes this consistent.
Alerts
Prebuilt alert conditions allow quick automation:
Midline crossovers (0): transition between accumulation and distribution.
Overbought (+0.4) and Oversold (-0.4) triggers for potential exhaustion.
Signal moving-average crosses for confirmation entries.
Tips for use
Combine with price structure—don’t fade every overbought/oversold reading; confirm with break of structure or candle patterns.
Use longer normalization periods for position trading, shorter for intraday analysis.
In choppy markets, treat 0-line oscillations as noise filters, not trade triggers.
Summary
The Normalised Volume Oscillator modernizes the classic Klinger Volume Oscillator by normalizing its readings into a standardized range. This makes it more adaptive across assets and timeframes, improves interpretability, and provides intuitive, data-driven overbought/oversold levels. Whether used standalone or as a confirmation layer, it offers a clearer view of volume dynamics—revealing when markets are truly being accumulated, distributed, or stretched beyond their sustainable extremes.
Holt Damped Forecast [CHE]A Friendly Note on These Pine Script Scripts
Hey there! Just wanted to share a quick, heartfelt heads-up: All these Pine Script examples come straight from my own self-study adventures as a total autodidact—think late nights tinkering and learning on my own. They're purely for educational vibes, helping me (and hopefully you!) get the hang of Pine Script basics, cool indicators, and building simple strategies.
That said, please know this isn't any kind of financial advice, investment nudge, or pro-level trading blueprint. I'd love for you to dive in with your own research, run those backtests like a champ, and maybe bounce ideas off a qualified expert before trying anything in a real trading setup. No guarantees here on performance or spot-on accuracy—trading's got its risks, and those are totally on each of us.
Let's keep it fun and educational—happy coding! 😊
Holt Damped Forecast — Damped trend forecasts with fan bands for uncertainty visualization and momentum integration
Summary
This indicator applies damped exponential smoothing to generate forward price forecasts, displaying them as probabilistic fan bands to highlight potential ranges rather than point estimates. It incorporates residual-based uncertainty to make projections more reliable in varying market conditions, reducing overconfidence in strong trends. Momentum from the trend component is shown in an optional label alongside signals, aiding quick assessment of direction and strength without relying on lagging oscillators.
Motivation: Why this design?
Standard exponential smoothing often extrapolates trends indefinitely, leading to unrealistic forecasts during mean reversion or weakening momentum. This design uses damping to gradually flatten long-term projections, better suiting real markets where trends fade. It addresses the need for visual uncertainty in forecasts, helping traders avoid entries based on overly optimistic point predictions.
What’s different vs. standard approaches?
- Reference baseline: Diverges from basic Holt's linear exponential smoothing, which assumes persistent trends without decay.
- Architecture differences:
- Adds damping to the trend extrapolation for finite-horizon realism.
- Builds fan bands from historical residuals for probabilistic ranges at multiple confidence levels.
- Integrates a dynamic label combining forecast details, scaled momentum, and directional signals.
- Applies tail background coloring to recent bars based on forecast direction for immediate visual cues.
- Practical effect: Charts show converging forecast bands over time, emphasizing shorter horizons where accuracy is higher. This visibly tempers aggressive projections in trends, making it easier to spot when uncertainty widens, which signals potential reversals or consolidation.
How it works (technical)
The indicator maintains two persistent components: a level tracking the current price baseline and a trend capturing directional slope. On each bar, the level updates by blending the current source price with a one-step-ahead expectation from the prior level and damped trend. The trend then adjusts by weighting the change in level against the prior damped trend. Forecasts extend this forward over a user-defined number of steps, with damping ensuring the trend influence diminishes over distance.
Uncertainty derives from the standard deviation of historical residuals—the differences between actual prices and one-step expectations—scaled by the damping structure for the forecast horizon. Bands form around the median forecast at specified confidence intervals using these scaled errors. Initialization seeds the level to the first bar's price and trend to zero, with persistence handling subsequent updates. A security call fetches the last bar index for tail logic, using lookahead to align with realtime but introducing minor repaint on unconfirmed bars.
Parameter Guide
The Source parameter selects the price input for level and residual calculations, defaulting to close; consider using high or low for assets sensitive to volatility, as close works well for most trend-following setups. Forecast Steps (h) defines the number of bars ahead for projections, defaulting to 4—shorter values like 1 to 5 suit intraday trading, while longer ones may widen bands excessively in choppy conditions. The Color Scheme (2025 Trends) option sets the base, up, and down colors for bands, labels, and backgrounds, starting with Ruby Dawn; opt for serene schemes on clean charts or vibrant ones to stand out in dark themes.
Level Smoothing α controls the responsiveness of the price baseline, defaulting to 0.3—values above 0.5 enhance tracking in fast markets but may amplify noise, whereas lower settings filter disturbances better. Trend Smoothing β adjusts sensitivity to slope changes, at 0.1 by default; increasing to 0.2 helps detect emerging shifts quicker, but keeping it low prevents whipsaws in sideways action. Damping φ (0..1) governs trend persistence, defaulting to 0.8—near 0.9 preserves carryover in sustained moves, while closer to 0.5 curbs overextensions more aggressively.
Show Fan Bands (50/75/95) toggles the probabilistic range display, enabled by default; disable it in oscillator panes to reduce clutter, but it's key for overlay forecasts. Residual Window (Bars) sets the length for deviation estimates, at 400 bars initially—100 to 200 works for short timeframes, and 500 or more adds stability over extended histories. Line Width determines the thickness of band and median lines, defaulting to 2; go thicker at 3 to 5 for emphasis on higher timeframes or thinner for layered indicators.
Show Median/Forecast Line reveals the central projection, on by default—hide if bands provide enough detail, or keep for pinpoint entry references. Show Integrated Label activates the combined view of forecast, momentum, and signal, defaulting to true; it's right-aligned for convenience, so turn it off on smaller screens to save space. Show Tail Background colors the last few bars by forecast direction, enabled initially; pair low transparency for subtle hints or higher for bolder emphasis.
Tail Length (Bars) specifies bars to color backward from the current one, at 3 by default—1 to 2 fits scalping, while 5 or more underscores building momentum. Tail Transparency (%) fades the background intensity, starting at 80; 50 to 70 delivers strong signals, and 90 or above allows seamless blending. Include Momentum in Label adds the scaled trend value, defaulting to true—ATR% scaling here offers relative strength context across assets.
Include Long/Short/Neutral Signal in Label displays direction from the trend sign, on by default; neutral helps in ranging markets, though it can be overlooked during strong trends. Scaling normalizes momentum output (raw, ATR-relative, or level-relative), set to ATR% initially—ATR% ensures cross-asset comparability, while %Level provides percentage perspectives. ATR Length defines the period for true range averaging in scaling, at 14; align it with your chart timeframe or shorten for quicker volatility responses.
Decimals sets precision in the momentum label, defaulting to 2—0 to 1 yields clean integers, and 3 or more suits detailed forex views. Show Zero-Cross Markers places arrows at direction changes, enabled by default; keep size small to minimize clutter, with text labels for fast scanning.
Reading & Interpretation
Fan bands expand outward from the current bar, with the median line as the central forecast—narrower bands indicate lower uncertainty, wider suggest caution. Colors tint up (positive forecast vs. prior level) in the scheme's up hue and down otherwise. The optional label lists the horizon, median, and range brackets at 50%, 75%, and 95% levels, followed by momentum (scaled per mode) and signal (Long if positive trend, Short if negative, Neutral if zero). Zero-cross arrows mark trend flips: upward triangle below bar for bullish cross, downward above for bearish. Tail background reinforces the forecast direction on recent bars.
Practical Workflows & Combinations
- Trend following: Enter long on upward zero-cross if median forecast rises above price and bands contain it; confirm with higher highs/lows. Short on downward cross with falling median.
- Exits/Stops: Trail stops below 50% lower band in longs; exit if momentum drifts negative or signal turns neutral. Use wider bands (75/95%) for conservative holds in volatile regimes.
- Multi-asset/Multi-TF: Defaults work across stocks, forex, crypto on 5m-1D; scale steps by TF (e.g., 10+ on daily). Layer with volume or structure tools—avoid over-reliance on isolated crosses.
Behavior, Constraints & Performance
Closed-bar logic ensures stable historical plots, but realtime updates via security lookahead may shift forecasts until bar confirmation, introducing minor repaint on the last bar. No explicit HTF calls beyond bar index fetch, minimizing gaps but watch for low-liquidity assets. Resources include a 2000-bar lookback for residuals and up to 500 labels, with no loops—efficient for most charts. Known limits: Early bars show wide bands due to sparse residuals; assumes stationary errors, so gaps or regime shifts widen inaccuracies.
Sensible Defaults & Quick Tuning
Start with defaults for balanced smoothing on 15m-4H charts. For choppy conditions (too many crosses), lower β to 0.05 and raise residual window to 600 for stability. In trending markets (sluggish signals), increase α/β to 0.4/0.2 and shorten steps to 2. If bands overexpand, boost φ toward 0.95 to preserve trend carry. Tune colors for theme fit without altering logic.
What this indicator is—and isn’t
This is a visualization and signal layer for damped forecasts and momentum, complementing price action analysis. It isn’t a standalone system—pair with risk rules and broader context. Not predictive beyond the horizon; use for confirmation, not blind entries.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
