Multi-Timeframe RSI GridThe relative strength index (RSI) is a momentum indicator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions. The RSI is normally displayed as an oscillator separately from price and can have a reading from 0 to 100. This indicator displays the current RSI levels at up to 6 timeframes (of your choosing) in a grid. If the RSI levels reach overbought (above 70) or oversold (below 30) conditions, it changes the color to help you see that RSI has reached extreme levels. Note that in TradingView, when the chart is on a higher timeframe, the lower timeframe RSI levels don't calculate properly. If those conditions are met, this indicator will hide those values in the grid. If none of your selected values are available, it hides the table completely. There are configuration options, like:
Position the grid in any corner of the screen
Style customization (color, size)
Customize RSI length
Oversold
Parabolic RSIThe Parabolic RSI is a fusion between two of Welles Wilder Jr.'s indicators:
* The parabolic stop-and-reverse: A trend following overlay indicator.
* The relative strength index: A contrarian indicator bounded between 0 and 100.
The parabolic RSI applies the RSI formula on the parabolic stop-and-reverse which in turn is applied on the market price. The main aim is to find an oscillator similar to the RSI but with a touch of a trend following indicator. In other words, the parabolic RSI is to be used in tandem with the regular RSI to get a confirmatory signal. Generally the parabolic RSI is more stable than the RSI due to the formula used (a type of smoothing from the parabolic stop-and-reverse) which is why it may have a diversification factor with the signals from the RSI.
The best way to use the parabolic RSI is as follows:
* A long signal is generated whenever the parabolic RSI exits the oversold level.
* A short signal is generated whenever the parabolic RSI exits the overbought level.
Bitcoin Power Law Bands (BTC Power Law) Indicator█ OVERVIEW
The 'Bitcoin Power Law Bands' indicator is a set of three US dollar price trendlines and two price bands for bitcoin , indicating overall long-term trend, support and resistance levels as well as oversold and overbought conditions. The magnitude and growth of the middle (Center) line is determined by double logarithmic (log-log) regression on the entire USD price history of bitcoin . The upper (Resistance) and lower (Support) lines follow the same trajectory but multiplied by respective (fixed) factors. These two lines indicate levels where the price of bitcoin is expected to meet strong long-term resistance or receive strong long-term support. The two bands between the three lines are price levels where bitcoin may be considered overbought or oversold.
All parameters and visuals may be customized by the user as needed.
█ CONCEPTS
Long-term models
Long-term price models have many challenges, the most significant of which is getting the growth curve right overall. No one can predict how a certain market, asset class, or financial instrument will unfold over several decades. In the case of bitcoin , price history is very limited and extremely volatile, and this further complicates the situation. Fortunately for us, a few smart people already had some bright ideas that seem to have stood the test of time.
Power law
The so-called power law is the only long-term bitcoin price model that has a chance of survival for the years ahead. The idea behind the power law is very simple: over time, the rapid (exponential) initial growth cannot possibly be sustained (see The seduction of the exponential curve for a fun take on this). Year-on-year returns, therefore, must decrease over time, which leads us to the concept of diminishing returns and the power law. In this context, the power law translates to linear growth on a chart with both its axes scaled logarithmically. This is called the log-log chart (as opposed to the semilog chart you see above, on which only one of the axes - price - is logarithmic).
Log-log regression
When both price and time are scaled logarithmically, the power law leads to a linear relationship between them. This in turn allows us to apply linear regression techniques, which will find the best-fitting straight line to the data points in question. The result of performing this log-log regression (i.e. linear regression on a log-log scaled dataset) is two parameters: slope (m) and intercept (b). These parameters fully describe the relationship between price and time as follows: log(P) = m * log(T) + b, where P is price and T is time. Price is measured in US dollars , and Time is counted as the number of days elapsed since bitcoin 's genesis block.
DPC model
The final piece of our puzzle is the Dynamic Power Cycle (DPC) price model of bitcoin . DPC is a long-term cyclic model that uses the power law as its foundation, to which a periodic component stemming from the block subsidy halving cycle is applied dynamically. The regression parameters of this model are re-calculated daily to ensure longevity. For the 'Bitcoin Power Law Bands' indicator, the slope and intercept parameters were calculated on publication date (March 6, 2022). The slope of the Resistance Line is the same as that of the Center Line; its intercept was determined by fitting the line onto the Nov 2021 cycle peak. The slope of the Support Line is the same as that of the Center Line; its intercept was determined by fitting the line onto the Dec 2018 trough of the previous cycle. Please see the Limitations section below on the implications of a static model.
█ FEATURES
Inputs
• Parameters
• Center Intercept (b) and Slope (m): These log-log regression parameters control the behavior of the grey line in the middle
• Resistance Intercept (b) and Slope (m): These log-log regression parameters control the behavior of the red line at the top
• Support Intercept (b) and Slope (m): These log-log regression parameters control the behavior of the green line at the bottom
• Controls
• Plot Line Fill: N/A
• Plot Opportunity Label: Controls the display of current price level relative to the Center, Resistance and Support Lines
Style
• Visuals
• Center: Control, color, opacity, thickness, price line control and line style of the Center Line
• Resistance: Control, color, opacity, thickness, price line control and line style of the Resistance Line
• Support: Control, color, opacity, thickness, price line control and line style of the Support Line
• Plots Background: Control, color and opacity of the Upper Band
• Plots Background: Control, color and opacity of the Lower Band
• Labels: N/A
• Output
• Labels on price scale: Controls the display of current Center, Resistance and Support Line values on the price scale
• Values in status line: Controls the display of current Center, Resistance and Support Line values in the indicator's status line
█ HOW TO USE
The indicator includes three price lines:
• The grey Center Line in the middle shows the overall long-term bitcoin USD price trend
• The red Resistance Line at the top is an indication of where the bitcoin USD price is expected to meet strong long-term resistance
• The green Support Line at the bottom is an indication of where the bitcoin USD price is expected to receive strong long-term support
These lines envelope two price bands:
• The red Upper Band between the Center and Resistance Lines is an area where bitcoin is considered overbought (i.e. too expensive)
• The green Lower Band between the Support and Center Lines is an area where bitcoin is considered oversold (i.e. too cheap)
The power law model assumes that the price of bitcoin will fluctuate around the Center Line, by meeting resistance at the Resistance Line and finding support at the Support Line. When the current price is well below the Center Line (i.e. well into the green Lower Band), bitcoin is considered too cheap (oversold). When the current price is well above the Center Line (i.e. well into the red Upper Band), bitcoin is considered too expensive (overbought). This idea alone is not sufficient for profitable trading, but, when combined with other factors, it could guide the user's decision-making process in the right direction.
█ LIMITATIONS
The indicator is based on a static model, and for this reason it will gradually lose its usefulness. The Center Line is the most durable of the three lines since the long-term growth trend of bitcoin seems to deviate little from the power law. However, how far price extends above and below this line will change with every halving cycle (as can be seen for past cycles). Periodic updates will be needed to keep the indicator relevant. The user is invited to adjust the slope and intercept parameters manually between two updates of the indicator.
█ RAMBLINGS
The 'Bitcoin Power Law Bands' indicator is a useful tool for users wishing to place bitcoin in a macro context. As described above, the price level relative to the three lines is a rough indication of whether bitcoin is over- or undervalued. Users wishing to gain more insight into bitcoin price trends may follow the author's periodic updates of the DPC model (contact information below).
█ NOTES
The author regularly posts on Twitter using the @DeFi_initiate handle.
█ THANKS
Many thanks to the following individuals, who - one way or another - made the 'Bitcoin Power Law Bands' indicator possible:
• TradingView user 'capriole_charles', whose open-source 'Bitcoin Power Law Corridor' script was the basis for this indicator
• Harold Christopher Burger, whose Bitcoin’s natural long-term power-law corridor of growth article (2019) was the basis for the 'Bitcoin Power Law Corridor' script
• Bitcoin Forum user "Trololo", who posted the original power law model at Logarithmic (non-linear) regression - Bitcoin estimated value (2014)
STR:EMA Oscilator [Azzrael]Strategy based on EMA and EMA Oscilator
(EMA - close) + Std Dev + Factor = detecting oversell/overbuy
Long only!
Pyramiding - sometimes, depends on ...
There're 2 enter strategies in one script:
1 - Classic, buy on entering to OverSell zone (more profitable ~> 70%)
2 - Crazy, buy on entering to OverBuy zone (catching trend and pyramiding, more net profit)
Exit - crossing zero of (EMA - close)
Overbought & Oversold TrackerAbout this indicator:
- This indicator is basically a stochastic indicator that shows to you the crossover in an Overbought or Oversold area DIRECTLY on the chart
How does it works:
- When Stochastic crosses at Oversold area, a Blue Triangle will appear below the candle with a Blue Dotted Line at the low of the current candle
- The Blue Triangle is to help you to see easily the candle where the crossover is occurring
- At the same time, the Blue Dotted Line will act as a minor Support for the current price
- If the current candle breaks the Blue Dotted Line (minor Support), the candle will be displayed in a red color
- Same things will occur if Stochastic crosses at the Overbought area, but at this time, a Red Triangle with Red Dotted Line will appear just to differentiate between Overbought and Oversold crossover
The advantage of using this indicator:
- You can easily see the point of stochastic crossover DIRECTLY on the chart without analyzing the stochastic indicator
- At the same time, it helps you to see clearly either the price is at the bottom / reversal by combining it with S&R / trendlines or other indicators
Personally, I will combine this indicator with:
a. Support and Resistance or Trendlines
b. Fibonacci retracement
c. Candlestick indicator (see my script list)
d. Ultimate MACD (see my script list)
e. Volume indicator
These combinations personally increase the possibility for me to buy exactly at the point of reversal in a pullback
- This indicator is preset at the value of 25 (oversold) and 75 (overbought) k line, it's my own preference. You can change these values at the setting menu to suit your trading style.
- Once again, I am opening the script for anyone to modify/alter it based on you own preference. Have a good day!
Projection Oscillator [CC]The Projection Oscillator was created by Mel Widner (Stocks and Commodities Jul 1995) and this is another hidden gem that is of course a great complementary indicator to my previous Projection Bands . I would recommend to use both on the same chart so you get the full array of information. This indicator tells you where the current price falls between the bands and the higher the oscillator is, the closer the price is to the upper band and vice versa. Now since the price never falls outside of the bands, the indicator is limited from 0 to 100. You will notice that with this indicator it gives even earlier signals than the Projection Bands so a very useful indicator indeed. I have included strong buy and sell signals in addition to normal ones so strong signals are darker in color and normal signals are lighter in color. Buy when the line turns green and sell when it turns red.
Let me know if there are any other indicators or scripts you would like to see me publish!
Mobility Oscillator [CC]The Mobility Oscillator was created by Mel Widner (Stocks and Commodities Feb 1996) and this is another of my ongoing series of undiscovered gems. I would say this is probably the most complicated script I have written for an indicator. It is extremely complicated to calculate comparing to other indicators but this is essentially an overbought and oversold indicator that uses a very unique technique to calculate overbought and oversold levels and overall upward or downward momentum there is in the underlying stock. It uses a price distribution function to determine how often the current prices fall within the current trend which tells us how strong the momentum for the current trend actually is. I had to customize this indicator a bit to give clear buy and sell readings so I had to introduce a lag in exchange for clearer signals. This indicator ranges between +100 and -100 and when it stays at the +100 level for example then this means a sustained uptrend and vice versa. I have included strong buy and sell signals in addition to normal ones so strong signals are darker in color and normal signals are lighter in color. Buy when the line turns green and sell when it turns red.
Let me know if there are any other scripts or indicators you would like to see me publish!
Relative Strength Exponential Moving Average [CC]The Relative Strength Exponential Moving Average was created by Vitali Apirine (Stocks and Commodities Jan 2022 pgs 22-25) and this is a handy moving average that combines a typical overbought/oversold mechanic with an overall trend indicator. Even though the typical length is so large it reacts extremely quickly when the stock becomes overbought or oversold. Because of this the indicator by itself doesn't work as well during choppy periods so Vitali recommends using a moving average crossover system during choppy so do one indicator with the default length of 50 and use a different length of 10 so when the shorter length crosses over the longer length then buy and vice versa you would sell. Generally speaking buy when the line turns green and sell when it turns red. I have used strong buy and sell signals in addition to normal signals so strong signals are darker in color and normal signals are lighter in color.
Let me know if there are any other scripts or indicators you would like me to publish!
RSI Multi Length [LuxAlgo]The following indicator aims to return information over RSIs using multiple periods, including the percentage of RSIs of different periods being overbought/oversold, as well as the average between these multiple RSIs.
The percentage of RSIs of different periods being overbought/oversold is additionally used to return adaptive overbought/oversold levels.
Settings
Maximum Length: Maximum period of the RSI used for the indicator calculation
Minimum Length: Minimum period value of the RSI used for the indicator calculation
Overbought: Value of the overbought level
Oversold: Value of the oversold level
Src: Input source of the indicator
Usage
The main element of the indicator is given by the multi-length RSI average, returning an oscillator similar to a fixed-length RSI. Because of its multiple length nature, the indicator can reflect shorter to longer-term price variations depending on the Maximum/Minimum length range defined by the user.
The green area indicates the percentage of RSIs over the user-defined overbought level. The red area indicates the percentage of RSIs under the user-defined oversold level, this percentage is inverted for ease of visualization. Additionally, a dashboard at the top right of the indicator pane indicates these percentages for the most recent bar.
A lower percentage of overbought/oversold RSIs can indicate a potential shorter-term retracement.
These percentages are used to construct adaptive overbought/oversold levels for the average multi-length RSI. The overbought level will be easier to reach if the percentage of overbought RSI's is high, the same logic applies to the adaptive oversold level.
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
34 EMA Bands [v2]Updating an older concept here with some more oversold/overbought zones.
Pretty self explanatory, red zone indicate overbought zones and green zone is a oversold. Often, price likes to bounce off of the lower bounds of these zones, but it can sometimes extend all the way through the zone onto the upper boundary.
There are many lines to this indicator, i prefer using it with all the lines off except the outermost ones. However, you can edit it if it suits you better.
Source code is open, so any suggestions to improve its accuracy are welcome :)
Oversold / OverboughtMy first script. Based on RSI , CCI , RVI, and MFI . You can customize overbought or oversold thresholds for any indicator.
If you have any ideas - welcome.
Disclaimer
This is not financial advice. Trade on your own risk.
Ehlers Stochastic Relative Vigor Index [CC]The Stochastic Relative Vigor Index was created by John Ehlers (Cybernetic Analysis For Stocks And Futures pgs 84-89) and this of course is very similar to the Ehlers Fisher Stochastic Relative Vigor Index I just published. In hindsight I probably should have published this one first but just like with the other script this is a stochastic version of a Relative Vigor Index and I added some smoothing to make buy and sell signals clearer. There are several ways to identify buy and sell signals but generally in the long term it is a buy signal when the indicator is below the oversold line and is moving up and in the short term when the indicator is above it's trigger line which is what I coded the buy and sell signals to follow. Buy when the line is green and sell when it turns red.
Let me know if there are any other scripts you would like to see me publish!
Ehlers Fisher Stochastic Relative Vigor Index [CC]The Fisher Stochastic Relative Vigor Index was created by John Ehlers (Cybernetic Analysis For Stocks And Futures pgs 101-104) and this is a many layered indicator created from his original Relative Vigor Index turned into a stochastic and then performing a Fisher transform on the results. I have included extra smoothing to provide clearer buy and sell signals as well as normal and strong buy and sell signals. As always strong signals are darker in color and normal signals are lighter in color. Buy when the line turns green and sell when it turns red.
Let me know if there are any other scripts you would like to see me publish!
Kirill ChannelThis indicator shows overbought and oversold zones. Can be used on all time frames. I personally use 15m - 30m.
How to apply ?:
- There can be many strategies for use! I use this indicator to buy an asset in the green zone and then sell it in the middle of the channel or in the red zone.
- I strongly advise against entering counter-trend positions in a growing market if you have little trading experience and understanding of price action.
How do I place orders ?:
- I place orders in a grid.
- If the price is very close to the edge, but it is difficult to reach it, then it is better to open a position on the market and place orders deep into the grid.
- If the price is at the edge of the channel for a very long time, then you need to look at a higher timeframe.
Algorithm composition:
- ALMA
- Keltner Channel
- Fibonacci Retracement
- Custom price percent offset calculations and manipulations.
Settings:
- I strongly do not recommend changing ALMA. These numbers have been specially calculated.
- It's better not to change Borders either. The current algorithm dynamically changes the width of the extreme channels depending on the price movement.
- The Keltner Channel was specially selected.
- Fibonacci Retracement can be changed. This part of the algorithm can be modified to suit your needs. At the moment, there are settings for aggressive trading.
Channel type:
- Conservative: Fibonacci Retracement settings (100 ma, 100 atr, 8 mult, 100 smooth)
- Aggressive: Fibonacci Retracement settings (25 ma, 25 atr, 3.5 mult, 100 smooth)
Сonservative channel does not allow a large number of points to enter positions, however, it is more straightforward and safer for very large movements.
I prefer aggressive settings because they allow me to make more profit on the number of trades.
Try to use both modes and choose what is preferable for you.
RSI Multi TF strategy
The RSI is a very popular indicator that follows price activity.
It calculates an average of the positive net changes, and an average
of the negative net changes in the most recent bars, and it determines
the ratio between these averages. The result is expressed as a number
between 0 and 100. Commonly it is said that if the RSI has a low value,
for example, 30 or under, the symbol is oversold. And if the RSI has a
high value, 70 for example, the symbol is overbought.
Plots 3 RSI (Weekly, Daily, 4h) at the same time, regardless of the Chart Timeframe.
Highlights in green (or red) if all RSI is oversold (or overbought).
Can trigger custom oversold and overbought alerts when all 3 lines grey(4h), yellow(weekly), and red(daily) go in the oversold or overbought zone. The strongest the curves break the barrier the strongest the alert (vertical red and green bars) shows.
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-
RSI Overbought Oversold Divergence Strategy w/ Buy/Sell SignalsThis indicator is a copy of my RSI Overbought/Oversold Divergence Indicator with-Alerts
Only difference is that the alerts are disabled, instead it uses tradingviews strategy tester signals
If you want alerts just use the other indicator
RSI Overbought Divergence Indicator with AlertsThis indicator alerts you only if there are divergences after price was oversold or overbought
McClellan Oscillator Jack Corsellis [LazyBear Modified]Developed by Sherman and Marian McClellan, the McClellan Oscillator is a breadth indicator derived from Net Advances, the number of advancing issues less the number of declining issues.
Subtracting the 39-day exponential moving average of Net Advances from the 19-day exponential moving average of Net Advances forms the oscillator.
As the formula reveals, the McClellan Oscillator is a momentum indicator that works similar to MACD .
McClellan Oscillator signals can be generated with breadth thrusts, centerline crossovers, overall levels and divergences.
The original code was written by LazyBear ( code here: )
We have modified this code:
1. Added the ability to display and configure the overbought and undersold lines which are key to properly using this indicator. These are set to default +40 and -75 respectively.
2. This version uses USI:ADV(advances- issues) and USI:DECL (declines - issues) as the default.
Baekdoo multi OverSold OverBuy colored CandleHi forks,
I'm trader Baekdoosan who trading Equity from South Korea. This Baekdoo multi OverSold OverBuy colored candle will give you the idea of
multiple indicators in one shot with colored candle. Those indicators tell us that oversold or overbuy statistically. For the color, you can freely change
based on your comfort. For me, in Korea white candle has red color and black candle has blue color. So somewhat confusing for you. Anyway you can
easily modify color in the script. Please refer this line.
barcolor(open<close and result_pos == 4 ? color.new(color.red, 0) : open<close and result_pos == 3 ? color.new(color.red, 25) : open<close and result_pos == 2 ? color.new(color.red, 50) : open<close and result_pos == 1? color.new(color.red, 75) : na)
you can see I put different transparency at color.new() function with color code. Let me divide and conquer to explain for up candle
white candle and black candle.
1. White candle
with 4 oversold signal case with white candle tells us it is almost reached real bottom and try to rebound. In this case, I put vivid color (no transparency) on the candle. And all 4 signal case, I put text on "OverSold". It will not happen frequently. Then 2 approaches can be made.
(a) short term approach
You can buy on this time. and you set stop loss with open price. This is mainly aimed for technical rebound.
(b) long term approach
You can accumulate based on your budget with 5 times dividing. At that day might not be the very bottom but those period will most probably real bottom. You can put more weight on latter buy. Let say, 1 : 1.25 : 1.5 : 1.75 : 2.5. So for example, if you have $8,000 to investigate then, buy $1,000 and then $1,250, $1,500, accordingly. If price rebound then don't adding weight on accumulation but with the first amount that you buy(i.e., $1,000 with above example). With this approach, you will not have much stress and you will get profit well. If this is grand bottom case, then you can HODL this long term. What you needs is stick to the plan. :)
with 3 signals the color is less vivid, 2 signals is much less vivid, accordingly.
2. Black candle
The approaches are opposite to above. The signal will tells us for 4 overBuy signals, then vivid blue candle will be shown. Our strategy is distribute to sell. Please do not sell in one shot. As Newton said, "I can calculate the motions of the heavenly bodies, but not the madness of the people". Strong buy phase, we don't know how far will it go. But indicators will tell us it is quite overSold situation. So what I can suggest you is sell it 10% to 20% on resistance price, and put 50% of lower than certain support price. Remember, accumulation and distribution will always better than one shot trading if you want to survive long time on this war field.
Hope this will help your trading on equity as well as crypto. I didn't try it on futures. Best of luck all of you. Gazua~!
Roc Mean Reversion (ValueRay)This Indicator shows the Absolute Rate of Change in correlation to its Moving Average.
Values over 3 (gray dotted line) can savely be considered as a breakout; values over 4.5 got a high mean-reverting chance (red dotted line).
This Indicator can be used in all timeframes, however, i recommend to use it <30m, when you want search for meaningful Mean-Reverting Signals.
Please like, share and subscribe. With your love, im encouraged to write and publish more Indicators.
Multiband Oscillator - Zigzag versionJust variation of Multi Band oscillator present here: Multi-Band-Channel-Oversold-Overbought-Oscillator
Changes are:
Instead of regular moving average, here I am using Zigzag Moving average. This is calculated in similar to as explained in: Zigzag-Cloud
Instead of ATR, using AZR (Average Zigzag Range) - Average-Zigzag-Range-AZR
Rest of the logic remains same.
Number of bands used 100 - which means, calculate 100 Bollinger bands with Std Dev Multiplier starting from 0.1 and with step 0.1 for the next one.
Which divides price ranges into 200 equal parts. Calculate what is the current range and plot them.
Overbought - Oversold levels are dynamics. They are dependent on the max and min state price has reached in last 80 days. Offset and factor can be used to adjust overbought oversold levels.
