Finnie's RSI with EMA + MFI + Stoch V2RSI seams to be one of the most used indicators by far, and that comes because of merit . With that in mind, the goal of this indicator is to expand upon the tradition RSI or Relative Strength Index we all know and love :) I started by adding an EMA crossover. Which gives you, the users, a general idea of when to buy and sell outside of just watching a line go down and up. To take thinks even further, I decided to add options for both Fast and Slow Stochastic oscillators. Adding STOCH brings in another variable when deciding on an entry, technically its a bit hard to explain but in practice it would go something like this: you notice RSI is down around the level 20 mark and RSI is crossing up above it's EMA , which is BULLISH signal, and you're thinking about going long. As a second confirmation you can look at the STOCH rsi , if it's also crossing above the previously spoken EMA that's another BULLISH signal. This process can be repeated once RSI has risen to find an exit.
V2 changes:
-added MFI
-added overbought(yellow)/oversold(red) visual indicator
-removed K stoch in order to clean the indicator up visually, I haven't regretted it since :)
Pesquisar nos scripts por "oscillator"
Finnie's RSI with EMA crossover + StochRSI seams to be one of the most used indicators by far, and that comes because of merit. With that in mind, the goal of this indicator is to expand upon the tradition RSI or Relative Strength Index we all know and love :) I started by adding an EMA crossover. Which gives you, the users, a general idea of when to buy and sell outside of just watching a line go down and up. To take thinks even further, I decided to add options for both Fast and Slow Stochastic oscillators. Adding STOCH brings in another variable when deciding on an entry, technically its a bit hard to explain but in practice it would go something like this: you notice RSI is down around the level 20 mark and RSI is crossing up above it's EMA, which is BULLISH signal, and you're thinking about going long. As a second confirmation you can look at the STOCH rsi, if it's also crossing above the previously spoken EMA that's another BULLISH signal. This process can be repeated once RSI has risen to find an exit.
EDIT: If you find the indicator is a bit too cluttered for you, feel free to disable the 'STOCH rsi' feature in settings :)
Indicator: Net Price Trend [xQT5]This is my original indicator - "Net Price Trend".I made a little personal research about how to analyzing price, and had main idea about view of net price (like net volume), when I'd created the oscillator.
Also, I added high and low border based on historical and typical price movement - you can change it on your opinion.
Trade rules are:
- when indicator is above "0" - it's bullish's zone
- when indicator is under "0" - it's bear's zone
- when indicator is under "-20" - it's attention zone for close sell's position
- when indicator is above "20" - it's attention zone for close buy's position
Enjoy it!
Percentage Price Over SMAReturn the percentage of closing prices greater than SMA's with periods within a user-selected range. An exponential moving average applied to these results is also displayed (in orange).
Settings
Min : Minimum period of the SMA in the range
Max : Maximum period of the SMA in the range
Smooth : Period of the EMA
Src : Input series of the indicator
Usage
The indicator is a normalized oscillator. A value of 100 indicates that 100% of the current closing price is over SMA's with periods ranging from min to max , this indicates a bullish market, while a value of 0 would indicate a bearish market.
In this image the indicator use min = 50 and max = 200, here AMD has been strongly bullish at the start, and ended being strongly bearish at the end, during this bullish period the indicator is over its overbought level, while it is under its oversold level during the bearish period.
In case the market is ranging we can expect the indicator to be around 50%, using the smoothed result might be more useful to detect ranging markets with this indicator.
If the smoothed result is within the overbought/oversold levels, then we can say that the market is either ranging or transitioning from a bullish/bearish market to an opposite one.
Z Score Enhanced Time Segmented Volume (Multi MA)**THIS VERSION HAS BEEN STANDARDIZED WITH A Z SCORE CALCULATION AND ALLOWS THE USER TO SELECT WHICH MOVING AVERAGE THEY WOULD LIKE TO UTILIZE FOR THE SIGNAL LINE**
Chart shows the Non-Standardized Enhanced Time Segmented Volume (Multi MA) with default settings on top and the Standardized version with default settings on the bottom.
Time Segmented Volume was developed by Worden Brothers, Inc to be a leading indicator by comparing various time segments of both price and volume . Essentialy it is designed to measure the amount of money flowing in and out of an instrument.
Time Segmented Volume was originally ported to TradingView by user @liw0 and later corrected by user @vitelot. I never quite understood how to read Time Segmented Volume until I ran across a version by user @storma where they indicated when price would be long or short, but that code also utilized the incorrect calculation from user @liw0.
In an effort to make Time Segmented Volume more accessible and easier to read, I have re-coded it here. The calculations are based on the code from @vitelot and I have added direction indicators below the chart.
If the histogram (TSV) is greater than zero and greater than the moving average, price should be moving long and there will be a green box below the chart.
If TSV falls below the moving average while still being greater than zero, the trend may be exhausting and has been coded to read Price Action Long - FAILURE with a black x below the chart.
If the histogram (TSV) is less than zero and less than the moving average, price should be moving short and there will be a red box below the chart.
If TSV rises above the moving average while still being less than zero, the trend may be exhausting and has been coded to read Price Action Short - FAILURE with a black x below the chart.
At times, the moving average may be above zero while TSV is below zero or vice versa. In these situations the chart will indicate long or short based on whether or not TSV is greater or less than zero. It is possible a new trend may be forming as the moving average obviously lags, but also possible price is consolidating with little volume and causing TSV to oscillate close to zero.
**Z Score // Standardized Option **
Thist Standardized code implements all of the above but also allows the user to select a threshold level that should not need to be adjusted for each instrument (since the output is standardized).
If the TSV value meets the long and short signal requirements above and TSV is greater than the threshold values a green or red box will print ABOVE the oscillator. The histogram will also change color based on which threshold TSV has met.
This calculation allows us to compare current volatility to the mean (moving average) of the population (Z-Length). The closer the TSV Z-Score is to the mean, the closer it will be to the Zero Line and therefore price is likely consolidating and choppy. The farther TSV Z-Score is from the mean, the more likely price is trending.
The MA Mode determines the Moving Average used to calculate TSV itself. The Z-Score is ALWAYS calculated with a simple moving average (as that is the standard calculation for Z-Score).
The Threshold Levels are the levels at which TSV Z-Score will change from gray to yellow, orange, green ( bullish ), or red ( bearish ).
Statistically speaking, confidence levels in relation to Z-Score are noted below. The built in Threshold Levels are the positive and negative values for 90%, 95%, and 99%. This would indicate when volatility is greater than these values they are out of the ordinary from the standard range. You may wish to adjust these levels for TSV Z-Score to be more responsive to your trading needs
80% :: 1.28
85% :: 1.44
90% :: 1.64
95% :: 1.96
99% :: 2.58
The Z Length is the period for which the Z Score is calculated
More information regarding Time Segmented Volume can be found here: www.worden.com
Original code ported by @liw0
Corrected by @vitelot
Updated/Enhancements by @eylwithsteph with inspiration from @storma
Multiple MA Options Credits to @Fractured and @lejmer
Bits and Pieces from @AlexGrover, @Montyjus, and @Jiehonglim
As always, trade at your own risk.
Dual Purpose Pine Based CorrelationThis is my "Pine-based" correlation() function written in raw Pine Script. Other names applied to it are "Pearson Correlation", "Pearson's r", and one I can never remember being "Pearson Product-Moment Correlation Coefficient(PPMCC)". There is two basic ways to utilize this script. One is checking correlation with another asset such as the S&P 500 (provided as a default). The second is using it as a handy independent indicator correlated to time using Pine's bar_index variable. Also, this is in fact two separate correlation indicators with independent period adjustments, so I guess you could say this indicator has a dual purpose split personality. My intention was to take standard old correlation and apply a novel approach to it, and see what happens. Either way you use it, I hope you may find it most helpful enough to add to your daily TV tool belt.
You will notice I used the Pine built-in correlation() in combination with my custom function, so it shows they are precisely equal, even when the first two correlation() parameters are reversed on purpose or by accident. Additionally, there's an interesting technique to provide a visually appealing line with two overlapping plot()s combined together. I'm sure many members may find that plotting tactic useful when a bird's nest of plotting is occurring on the overlay pane in some scenarios. One more thing about correlation is it's always confined to +/-1.0 irregardless of time intervals or the asset(s) it is applied to, making it a unique oscillator.
As always, I have included advanced Pine programming techniques that conform to proper "Pine Etiquette". For those of you who are newcomers to Pine Script, this code release may also help you comprehend the "Power of Pine" by employing advanced programming techniques in Pine exhibiting code utilization in a most effective manner. One of the many tricks I applied here was providing floating point number safeties for _correlation(). While it cannot effectively use a floating point number, it won't error out in the event this should occur especially when applying "dominant cycle periods" to it, IF you might attempt this.
NOTICE: You may have observed there is a sqrt() custom function and you may be thinking... "Did he just sick and twistedly overwrite the Pine built-in sqrt() function?" The answer is... YES, I am and yes I did! One thing I noticed, is that it does provide slightly higher accuracy precision decimal places compared to the Pine built-in sqrt(). Be forewarned, "MY" sqrt() is technically speaking slower than snail snot compared to the native Pine sqrt(), so I wouldn't advise actually using it religiously in other scripts as a daily habit. It is seemingly doing quite well in combination with these simple calculations without being "sluggish". Lastly, of course you may always just delete the custom sqrt() function, via Pine Editor, and then the script will still operate flawlessly, yet more efficiently.
Features List Includes:
Dark Background - Easily disabled in indicator Settings->Style for "Light" charts or with Pine commenting
AND much, much more... You have the source!
The comments section below is solely just for commenting and other remarks, ideas, compliments, etc... regarding only this indicator, not others. When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section, should you have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members, I may implement more ideas when they present themselves as worthy additions. As always, "Like" it if you simply just like it with a proper thumbs up, and also return to my scripts list occasionally for additional postings. Have a profitable future everyone!
Stochastic RSI DivergencesAdapted from TradingView's RSI Divergences to instead use Stochastic RSI as the oscillator.
Hancock - PVO PlusEstimates the buy and sell volume of each candle by using a configurable lower time-frame and creates a momentum oscillator for buy and sell volume, PVO.
This indicator shows higher than normal volume when the silver line cross above 0 and lower than normal when below. The green and red oscillators give an indication of trend direction where the wider they are the stronger the trend.
Happy trading
Hancock
Elder's force index impulseForce Index is an oscillator. It combines volume with prices
to discover the force of bulls or bears behind every rally or decline.
It brings together three essential pieces of information the direction of price
change, its extent, and the volume during that change. It provides a practical way of
using volume for making trading decisions.
Force Index can be used in its raw form, but its signals stand out much more
clearly if we smooth it with a moving average. Using a short EMA of Force Index
helps pinpoint entry and exit points. Using a longer EMA helps confirm trends.
Efi long > 0 (bullish trend) and efi short < 0 = buy signal (green bar)
Efi long < 0 (bear trend) and efi short>0 = sell signal (red bar)
Inverse Fisher Z-Score Introduction
The inverse fisher transform or hyperbolic tangent function is a type os sigmoid function (sometime called squashing function) , those types of functions can rescale a result in a certain range and are widely used in artificial intelligence. More in depth the fisher transform can make the correlation coefficient of a time series normally distributed, in practice if you apply the fisher transform to the correlation coefficient between a time series and a linear function you will end up with an estimate of the z-score of the time series. The inverse transform however can do the contrary, it can take the z-score and transform it into a rough estimate of the correlation coefficient, if your z-score is not smooth then you will have a non-smooth estimate of the correlation coefficient, that's quite nice no ?
The Indicator
The inverse fisher transform of the z-score will produce results in a range of 1/-1, here however i will rescale in a range of 100/0 because its a standard range for oscillators in technical analysis. Values over 80 indicate an overbought market, under 20 an oversold market. The smooth option in the indicator settings will make the indicator use a linearly weighted moving average as input thus resulting in a smoother result.
The indicator with smooth option.
Conclusion
I presented a new oscillator indicator who use the inverse fisher transform of a z-score. Using the fisher transform and its inverse can give a new shape to your indicator, make sure to control the scale of your indicator before applying the fisher transform, the inverse transform should be applied to values in range of 1/-1 but you can use higher limits (2/-2,3/-3...) , however remember that higher limits will approximate an heavy side step function (square shape) . I hope you will find an use to this indicator.
Thanks for reading !
Stocks and RSI (IFR e Estocagem)A simple script that promotes a good visualization of the oscillators.
It shows a graph with two plots, one of relative strength index and one of stock, painting the red line when overbought and green when oversold.
Um script simples mas que promove uma boa visualização dos osciladores.
Mostra um gráfico com duas plotagens, uma do índice de força relativa e outra de estocagem, pintando a linha de vermelho quando está sobrecomprado e de verde quando sobrevendido.
Fast Z-ScoreIntroduction
The ability of the least squares moving average to provide a great low lag filter is something i always liked, however the least squares moving average can have other uses, one of them is using it with the z-score to provide a fast smoothing oscillator.
The Indicator
The indicator aim to provide fast and smooth results. length control the smoothness.
The calculation is inspired from my sample correlation coefficient estimation described here
Instead of using the difference between a moving average of period length/2 and a moving average of period length , we use the difference between a lsma of period length/2 and a lsma of period length , this difference is then divided by the standard deviation. All those calculations use the price smoothed by a moving average as source.
The yellow version don't divide the difference by a standard deviation, you can that it is less reactive. Both version have length = 200
Conclusion
I presented a smooth and responsive version of a z-score, the result could be used to estimate an even faster lsma by using the line rescaling technique and our indicator as correlation coefficient.
Hope you like it, feel free to modify it and share your results ! :)
Notes
I have been requested a lot of indicators lately, from mt4 translations to more complex time series analysis methods, this accumulation of work made that it is impossible for me to publish those within a short period of time, also some are really complex. I apologize in advance for the inconvenience, i will try to do my best !
BossHouse - CCI ExtendedBossHouse - CCI Extended ( An Extended version of the Original CCI ).
The commodity channel index (CCI) is an oscillator originally introduced by Donald Lambert in 1980.
Guideline
________
Lambert's trading guidelines for the CCI focused on movements above +100 and below −100 to generate buy and sell signals. Because about 70 to 80 percent of the CCI values are between +100 and −100, a buy or sell signal will be in force only 20 to 30 percent of the time. When the CCI moves above +100, a security is considered to be entering into a strong uptrend and a buy signal is given. The position should be closed when the CCI moves back below +100. When the CCI moves below −100, the security is considered to be in a strong downtrend and a sell signal is given. The position should be closed when the CCI moves back above −100.
Since Lambert's original guidelines, traders have also found the CCI valuable for identifying reversals. The CCI is a versatile indicator capable of producing a wide array of buy and sell signals.
CCI can be used to identify overbought and oversold levels. A security would be deemed oversold when the CCI dips below −100 and overbought when it exceeds +100. From oversold levels, a buy signal might be given when the CCI moves back above −100. From overbought levels, a sell signal might be given when the CCI moved back below +100.
As with most oscillators, divergences can also be applied to increase the robustness of signals. A positive divergence below −100 would increase the robustness of a signal based on a move back above −100. A negative divergence above +100 would increase the robustness of a signal based on a move back below +100.
Trend line breaks can be used to generate signals. Trend lines can be drawn connecting the peaks and troughs. From oversold levels, an advance above −100 and trend line breakout could be considered bullish. From overbought levels, a decline below +100 and a trend line break could be considered bearish.
Settings
_______
Show 0 line
Lenght
Source
Any help and suggestions will be appreciated.
Marcos Issler @ Isslerman
marcos@bosshouse.com.br
APEX - MFI / MA [v1]The Money Flow Index is a volume indicator used for measuring buying and selling pressure. This is done by analyzing both price and volume. The MFI's calculation generates a value that is then plotted as a line that moves within a range of 0-100, making it an oscillator. When the MFI rises, this indicates an increase in buying pressure. When it falls, this indicates an increase in selling pressure. The Money Flow Index can generate several signals, most notably; overbought and oversold conditions and divergences.
You are also able to add addition smoothing and or a moving average on top of the MFI. This can help you trade only areas with increasing buying pressure.
Bitfinex Sentiment Index [Long-Short]BSI provides two attractive graphs that breakdown the long (green area) and short (red area) positions ratio for the all Bitfinex margin cryptocurrency pairs only .
It is a quantitative measure of the bullishness or bearishness that can be used as a trading rule or in a trading system entries or exits. Included slow stochastic oscillator.
Ehlers Cycle StrategyThis uses Ehlers methods to create a cycle trading strategy.
It finds the dominant cycle in the market, then creates filters out noise to create an oscillator. It then creates a trigger line using momentum to predict a reversal in price. Finally, Ehlers Empirical Mode Discriminator is used to evaluate trends and eliminate trading against the trend.
Shout out to HPotter, Everget, and LazyBear for implementing many of Ehlers indicators, which I sampled to create this indicator and strategy.
Falling Knives Jagged SpikesThe purpose of this script is to trade with the trend, trade trend continuation, and counter-trend trades.
Uptrend is price above 200 ema: Background is green and the bar colors are normal
Downtrend is price below 200 ema: Background is red and the bar colors are normal
Counter-trend to uptrend--Bar colors are white and the background is purple
counter-trend to downtrend--Bar colors are black and the background is aqua.
How to use:
Uptrend (green background): Only go long
Downtrend (red background): only go short
Counter-trend to uptrend/downtrend (white bars/black bars): Take counter-trend trade when price is a substantial distance from the 200 EMA. Best if there was a divergence with an oscillator. A lot of times these are just deep pullbacks or rallies.
trend continuation: In uptrend, after falling knives, and trend continues up (background turns to green) look to buy, you are getting a great price on the asset. Same for downtrend.
Keep in mind that nothing is perfect, and to of-course test everything.
Best of luck in all you do. Get money.
SMA Accumulative DifferenceThis script uses the 7, 25, and 99 SMA's just as Binance does, but take the difference/divergence between price and these SMA's and then sums them over a definable length, to show the size of the positive and negative bubbles forming, to give indication to oversold and overbought conditions and the relative size of these conditions and the relative size of the correction to follow. Effectively its an oscillator. I have not made a Strategy out of it yet as I don't know how to do that on this system yet, and the indicator is still in its experimental stage, so use it at your own risk and discretion.
PPO Divergence Alerts 2.0This is basically the same code as my other PPO Divergence indicator expect it overlays the signal on the candles, rather than needing the oscillator. I'm keeping the old version, as I'm sure people will prefer it, but this version takes up less screen real estate.
Godmode 3.1.4 - SNOW_CITY SCALPER EDITION - 7/2017 Updates to xSilas Godmode Oscillator published December 19th, 2014
Thanks to LEGION, LAZYBEAR, Ni6HTH4wK, xSilas
Updates:
Changed default sources to include BITSTAMP and REMOVED BTC-e
Changed default lengths for SCALPING SUPREMACY - See Instructions
Changed "Caution dots" to RED because YELLOW was hard to see.
I mostly Ignore the oscillators and only use the caution dots with this configuration:
MOST EFFECTIVE USE: BITSTAMP:BTCUSD BITSTAMP:BTCUSD
- Use on 1m charts of your BITMEX swap, yes 1m. I know, but it works better this way. 5m and 15m work best when using on an exchange index.
- IF overall 2H trend is DOWN, the 1m godmode on swap CAUTION DOTS appear on the UPPER BOUNDS means good SHORT entry points, and the lower dots suggest a possible reversal and good exit opportunity (not always)
- If overall 2H trend is UP, the 1m godmode on swap CAUTION DOTS appear on the LOWER BOUNDS means good LONG entry points, and upper dots suggest possible oversold if they start to round over, again not always.
This is ultra simple, and very effective.
Default settings for VERY sensitive CAUTION DOT blop: 17,6,4
Use these settings for a slightly less sensitive CAUTION DOT blop: 14,12,9
Dimbeta Moving Average OscillatorOscillator based on the research done here: www.sciencedirect.com
Just like most oscillators buy when Signal line (Dimbeta/Yellow) crosses over base circle line (Dimbeta MA/White).
This is the base for a trading system that I will be posting soon.
Kairi Relative Index Upgrated v1Kairi Relative Index Upgraded v1 — how far from “fair” are we, right now?
Most oscillators mash together price and momentum in ways that are hard to explain to a new trader. KRI is refreshingly simple: it measures how far price is from its moving average, as a percent of that average.
KRI = 100 × (Price − SMA) / SMA
Above 0 → price is above its average (stretched up).
Below 0 → price is below its average (stretched down).
The farther from 0, the more stretched we are from the mean.
This upgraded version keeps the pane clean (zero line, colored KRI, optional guide rails at +Line Above / Line Below) so you can read extension, reversion pressure, and reclaims at a glance—on any timeframe.
(If you add screenshots: image #1 should label the zero line and ± threshold lines; image #2 should show a textbook “overshoot at VAH/VAL + KRI extreme → rotate back to POC.”)
What you’re seeing (and how to read it fast)
KRI line
Green when KRI ≥ 0 (price above SMA)
Red when KRI < 0 (price below SMA)
Zero line = the moving average itself (no stretch).
Guide lines (default +10/−10) = “This is pretty far for this setting.” Treat these as review-and-decide zones, not auto-trade signals.
Three quick reads:
Magnitude: how far from the mean (size of KRI).
Direction: above/below zero (which side of the mean).
Turn: KRI curling back toward zero (reversion starting) or accelerating away (trend impulse continuing).
What KRI really measures (plain-English)
The SMA(length) is your “fair value” line for this indicator.
KRI tells you the percentage deviation from that fair value—normalized, so you can compare across assets/timeframes with the same length.
Because it’s a pure distance metric, KRI excels at:
spotting over-extensions into VP edges (VAH/VAL) and AVWAP,
timing mean-reversion back to POC/AVWAP in balance,
confirming reclaims (KRI crossing back through zero at a level),
framing pullbacks in trend (healthy dips usually avoid deep negative KRI in strong uptrends).
Using KRI on any timeframe
The workflow is always Location → Flow → KRI:
Location: a real level (Volume Profile v3.2’s VAH/VAL/POC/LVNs or Anchored VWAP).
Flow quality: check CVDv1 (Alignment OK? Absorption not red?).
KRI: are we stretched into/away from the level, and is KRI turning?
Scalping (1–5m)
Fade the stretch (balance): At VAH/VAL or Session AVWAP, an extreme KRI that rolls back toward zero = quick rotation to the middle (POC/AVWAP).
Don’t fade if bands are expanding and flow is strong (CVDv1 says go) — big KRI can stay big in expansion.
Intraday (15m–1H)
Continuation after pullback: In uptrends, look for shallow negative KRI at support (VAL/AVWAP) that turns up → join trend.
Failed breakout tell: Price pokes above VAH but KRI barely increases or rolls over quickly → likely a reclaim back inside value.
Swing (2H–4H)
Edge-to-mean rotations: At composite VAH/VAL, KRI extremes are great context: fade back to POC/HVNs if flow doesn’t confirm a breakout.
Reclaim confirmation: After a flush below Weekly AVWAP, KRI crossing back up through zero on the reclaim bar is a clean green light.
Position (1D–1W)
Regime posture: Multi-day runs with sustained positive KRI (and shallow dips) = constructive; mirror for downtrends. Use KRI pullbacks to ~0 at Weekly AVWAP for adds.
Entries, exits, and risk (simple rules)
Mean-reversion entry: At VAH/VAL or AVWAP, wait for KRI extreme at/through your guide line and a turn back toward zero.
Stop: just beyond the level; Target: POC/HVN or the zero line on KRI.
Trend-continuation entry: In a trend, take pullbacks where KRI stays modest (doesn’t blow through your lower/upper guide) and turns back with the trend at the level.
Avoid: chasing breakouts where KRI is already extreme and still climbing unless CVDv1 says Alignment OK + no Absorption and you have a clean retest.
Settings that matter (and how to tune them)
Length (default 50): defines the moving average “fair value.”
Shorter (20–34): faster, more signals, more noise—good for intraday.
Longer (50–100): steadier, better for swings/position.
Source (default close): keep it simple; hlc3 or close both work.
Line Above / Below (defaults +10/−10): your review zones. Tune them to the asset/timeframe:
Scroll back 6–12 months and eyeball typical |KRI| spikes. Set your lines around the 80th–90th percentile of |KRI| for that market and length.
Majors often need smaller thresholds than thin alts on the same timeframe.
Tip: If your KRI is always beyond the lines, increase length or widen the thresholds. If it never touches them, shorten length or tighten thresholds.
What to look for (pattern cheat sheet)
Stretch into level → curl: KRI tags an extreme right at VAH/VAL/AVWAP, then turns back → classic rotation.
Shallow pullback in trend: KRI dips toward zero but doesn’t hit your lower guide, then turns up at support → continuation.
No-juice break: New price high with weaker KRI (smaller positive % vs prior leg) → breakout lacks extension; plan for retest or reclaim.
Zero-line reclaims: After a washout, KRI crosses zero as price reclaims AVWAP/VAL → clean confirmation.
Combining KRI with other tools
Cumulative Volume Delta v1 (CVDv1):
Use KRI for stretch/turn, CVDv1 for quality.
A KRI extreme at VAH with CVDv1 Absorption (red) is a do-not-chase; look for the fail/reclaim.
A KRI pullback toward zero at VAL with Alignment OK + strong Imbalance + no Absorption = high-quality continuation.
Volume Profile v3.2:
KRI’s best signals happen at VAH/VAL/POC/LVNs.
LVN traversals with rising KRI often run quickly to the next HVN—use VP for targets.
Anchored VWAP :
Treat AVWAP as fair-value rails. KRI zero cross on an AVWAP reclaim is your green flag; KRI extreme + failure to accept beyond AVWAP warns of a fake break.
Common pitfalls KRI helps you avoid
Buying high into a tired move: KRI already very positive at VAH and rolling over = likely rotation; wait.
Fading true expansion: In strong trends with confirmed flow, KRI can remain extreme; don’t automatically fade just because it’s “far.”
Wrong thresholds: Copy-pasting ±10 to every market/timeframe can mislead. Calibrate to the market you trade.
Practical defaults to start with
Length: 50
Lines: +10 / −10 as placeholders—calibrate later.
Timeframes: great out of the box on 15m–4H; for 1–5m try Length 34 and tighter lines; for daily swings try Length 100 and broader lines.
Process: Level → CVDv1 quality → KRI stretch/turn. If any of the three disagree, wait for the retest.
Disclaimer & Licensing
This indicator and its description are provided for educational purposes only and do not constitute financial or investment advice. Trading involves risk, including the possible loss of capital. makes no warranties and assumes no responsibility for any decisions or outcomes resulting from the use of this script. Past performance is not indicative of future results. Use at your own risk.
Licensing & Attribution:
Copyright (c) 2018–present, Alex Orekhov (everget). Modified and upgraded by .
The original “Kairi Relative Index” is released under the MIT License, and this derivative is distributed under the MIT License as well. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files to deal in the Software without restriction, subject to the conditions of the MIT License, including the above copyright notice and this permission notice. The Software is provided “AS IS,” without warranty of any kind, express or implied.
