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!
Overbought-oversold
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 :)
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!
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-
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.
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.
Relative Strength Index 2x maThe relative strength index, represented as two moving averages with periods, one of which will be a multiple of the longer moving average by the amount you set.
The indicator can work both in automatic and manual mode. In automatic mode, the optimal periods are selected, in my opinion, depending on which timeframe is being analyzed at the current moment. In manual mode, you can set the required period yourself.
You can also set the method of smoothing the moving averages yourself and apply them to the opening or closing, the minimum of the bar, etc.
An important point: it is possible to enable/disable graphical functions that may not be required - just check the box next to the function that you want to see on your indicator.
Show ConDiv? - enabling / disabling the convergence/divergence function of the moving averages of the RSI indicator (not to be confused with the MACD for the asset price chart)
Show ma? - enabling/disabling the graphical display of the moving averages of the RSI indicator
Show RSI? - enabling / disabling the standard RSI indicator (if you want to see only it, check the box opposite; in this case, you need to remove the other two checkboxes)
I wish you good luck in building your trading plans, and remember: such indicators do not predict the future price movement on the chart, they only determine the characteristics of the price movement at the current time, taking into account historical data.
RSI+ChannelbandsThis Indicator displays a normal RSI with overbought/-sold lines which is calculated with donchian channels, pivot channel, bollinger bands and three horizontal lines.
You can averaged the channels, bands and h-lines in any combination or you can use just one of them for calculating the overbought/-sold lines.
The midline is colored in default settings in yellow for upptrending and blue for downtrending.
Folded Relative Strength Index [CC]The Folded Relative Strength Index was created by Richard Poster (Stocks and Commodities July 2021 pg 21) and this indicator provides both trend strength but also momentum and of course reversal points using the overbought and oversold markers. If the indicator line is above the mid line then this shows upward momentum and when it falls below the midline then this means it is losing momentum. When the indicator rises above the signal line then this shows upward trend strength and vice versa. Buy when the indicator line turns green and sell when it turns red.
Let me know if there are any other indicators you would like to see me publish!
SuperTrend Oscillator [LuxAlgo]This oscillator is made of three components, all derived from the SuperTrend indicator. This approach allows the user to easily determine overbought/sold zones, identify whether a retracement is present or if the price is ranging or trending. It also allows for the anticipation of the potential price cross with the SuperTrend.
We provide additional information including whether a signal returned by the SuperTrend was false, as well as the percentage of false signals.
Settings
Length: Period of the "average true range" used in the calculation of the SuperTrend
Mult: Multiplicative factor for the "average true range"
Smooth: Determines the degree of smoothing of the histogram
Misc:
Fixed Transparency: Use a fixed transparency for the main oscillator
Show Lines: Show the lines displayed by the indicator
Show Labels: Show the labels displayed by the indicator
Usage
The indicator is in a range of (-100,100) with values closer to 100/-100 indicating a stronger trend. The main oscillator value above 0 indicates that the price is above the SuperTrend.
It is possible to identify when a retracement is present in a trend. This is often indicated by an oscillator value moving within 50/-50.
Each overbought/oversold level can be used to determine potential exit points.
The indicator also includes two additional oscillators derived from the main oscillator. A smoothed version of the main oscillator (Signal), and a smoothed version of the difference between the Main and Signal oscillators (Histogram), thus making the oscillator part of the indicator more similar to MACD.
One can use the histogram to anticipate when the price might cross the SuperTrend by comparing the sign between the main and histogram. Potential false signals can also be filtered with this method.
Certain crosses between the price and SuperTrend can be filtered out when the histogram and main oscillator have a different sign (here main = 1, histogram = -1).
We include various indications in order to analyze the signals returned by the SuperTrend. The indicator displays symbols indicating whether a signal was false or not.
A cross symbol will be displayed at the top of the displayed lines when the previous Buy signal was false, else a checkmark is displayed. Symbols displayed at the bottom of the lines are referring to sell signals. We also provide a percentage of false signals, calculated over the entire chart history.
Details
The scaling method used is similar to max-min normalization. We first compute the difference between the price and SuperTrend and divide the result by the difference between the upper and lower extremity used to compute the SuperTrend. Values higher than (1,-1) can occur when price crosses the SuperTrend and as such we use the max and min functions to attenuate these.
The filter used to compute the signal line is based on exponential averaging and is fully adaptive. The smoothing factor used for its computation is the squared value of the main oscillator, divided by length . Since higher values of the oscillator are associated with trending markets, the filter will be closer to the main oscillator when the market is ranging.
+ TRSIHello again.
Here I have an improved version of the RSI that is similar to my "+ %B" indicator (that, an improved version of the %B).
This version of the RSI includes candle coloring for bullish or bearish bias (is the RSI above or below its median line?), as well as candle coloring for overbought and oversold areas. Additionally, there is an option for coloring candles based on the RSI crossing up or down its moving average.
So, that takes us on to the moving average. You have a selection of these, namely: SMA, EMA, DEMA, TEMA, HMA, JMA, LSMA, MF, SMA (the default), TMA, VAMA, and WMA. These are all very different, so play around and choose one that fits your trading style, or whatever it is you're looking for (or even turn it off if you like!).
I've added alerts, so you can be alerted based on wherever the RSI goes. Is it oversold? Did it just cross the median? Did it cross up or down its MA?
I hope you enjoy it!
Overbought/Oversold BandsThe basis of this script is my "Hybrid Overbought/Oversold Detector" which uses many different oscillators to confirm overbought/oversold conditions. The main idea is to generate higher and lower bands around the desired moving average using an average of the volatility (ATR) and the standard deviation (StDev), of course by interfering detected overbought/oversold condition.
Simply put, the more the asset become overvalued/undervalued, the tighter the channel would be and every breakout of the bands announces a return back into the channel in near future.
By default, the multiplier of the standard deviation in the indicator settings is set to 2 which means only less than 5% of price actions would appear outside the bands. Also the default multiplier of the ATR is set to 3 which leads to some similar result, but to achieve more strict results setting StDev multiplier to 3 and ATR multiplier to 4 would be useful.
The type of the central moving average could be picked up from 6 different types which are:
- SMA (Simple Moving Average)
- EMA (Exponential Moving Average)
- HMA (Hull Moving Average)
- LSMA (Least Squares Moving Average)
- TMA (Triangular Moving Average)
- MAEMA (My Personalized Momentum Adjusted EMA)
The latter one leads to a useful combination of the channel with the momentum.
Also the script has multi-timeframe features and the user could apply calculations from other time frames to the current chart.
Hope the idea would be helpful!
Dziwne MFI Overlay (with highlight)It is simply your traditional MFI , except that your 50 line became the actual price.
Why and how could it be useful? This indicator helps to spot more easily and efficiently divergences .
You could also use it for trend reversals as you usually do with your 50 line, but I would suggest to set a higher length for the MFI, like 155 or something like that.
CCI Overbought & OversoldThe Commodity Channel Index (CCI) is a momentum-based oscillator used to help determine when an investment vehicle is reaching a condition of being overbought or oversold
Developed by Donald Lambert, this technical indicator assesses price trend direction and strength, allowing traders to determine if they want to enter or exit a trade, refrain from taking a trade, or add to an existing position. In this way, the indicator can be used to provide trade signals when it acts in a certain way.
KEY TAKEAWAYS
The Commodity Channel Index (CCI) is a technical indicator that measures the difference between the current price and the historical average price.
When the CCI is above zero, it indicates the price is above the historic average. Conversely, when the CCI is below zero, the price is below the historic average.
The CCI is an unbounded oscillator, meaning it can go higher or lower indefinitely. For this reason, overbought and oversold levels are typically determined for each individual asset by looking at historical extreme CCI levels where the price reversed from
This script calculates Commodity Channel Index (CCI) value and fills background of price action chart with colors:
Green zone indicates oversold zone where you can enter position
Red zone indicates overbought zone where a positions should be closed
Combo Backtest 123 Overbought/Oversold 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
Simple Overbought/Oversold indicator
WARNING:
- For purpose educate only
- This script to change bars colors.
RSI Colour OverlayApplies Blue or Pink colour overlay to candles when RSI is at or over the predefined parameters. These parameters are adjustable in the settings area of the indicator. Please note RSI does not guaranteed a pivot point in price action and the colour overlay should only be used as an indication or condition not a call to buy or sell alone. The colour overlay is a useful prompt to review price action. I hope this helps and good luck with your analysis and trading.
Chande Momentum Oscillator - Alerts and RegionsIt seemed weird to me that the default Chande didn't have overbought and oversold regions, despite them being described for Chande Momentum and working very well. So I added the lines and alert conditions. I've used this to very good results in my day trading.
My strategy involved 4 timeframes of candlestick, each with 4 timeframes of Chande overlaid. Candlesticks are 5 min, 20 min, 80 min, 320 min and Chandes are x1, x2, x4 and x8 of the relevant time zone. Give it a shot. Use the 5 min Chande as Buy and Sell signal with the other timeframes for trend confirmation. You may get a lot of extra alerts with this setup, but it's almost impossible to really miss an opportunity if you use it right. It will take up all your free time though, as a warning. Using this strat made me go crazy.
Use the chande crossing over the lines as the signal, not just being in the region, as that will make you buy early.
Multi-Timeframe Stoch RSIGood evening folks!
Today I want to share with you a simple variant of the Stochastic-RSI built-in indicator.
Nothing too complex: by enabling the relative checkbox and setting the desired (k, d or the RSI ) source and timeframes, you can see higher timeframes data plotted on your screen.
Everything you need to do is enabling the indicator on the lowest timeframe (in this case 15 minutes), then you will see in YELLOW the information retrieved from the next higher timeframe (in this case 30 minutes) and in RED the information retrieved from the highest timeframe (in this case 45 minutes).
IT'S IMPORTANT THAT YOU DISPLAY THE INDICATOR ON THE LOWEST TIMEFRAME!
You can play with the overbought and oversold heights in order to have the best configuration you want (in oversold conditions is suggested to buy while in overbought conditions is suggested to sell)
The higher timeframes data are retrieved avoiding repainting since the method used for taking them is the 10th method described in this PineCoders Article , so, if you want to enable alerts, you SHOULD ignore the disclaimer message related to it without any problem.
Good Trading!
[JRL] Pivot Regression OscillatorIntroducing the Pivot Regression Oscillator. This oscillator uses a similar formula to the Stochastic Oscillator. However, instead of comparing the closing price to the lowest price of a period, it compares the distance between current price and the current pivot point. By basing our oscillator on pivot levels, we incorporate a much more relevant and consequential price point around which to base our comparisons.
The indicator can give reliable overbought and oversold signals, and it plots two exponential moving averages as output, which provides crossover signals that can be used to help time trades.
The Pivot Regression Oscillator can be effective for timing re-entries into a trend and seems to be able to avoid some of the false signals of other indicators.
Let me know if you find this useful. Cheers!
