STD-Stepped, CFB-Adaptive Jurik Filter w/ Variety Levels is a Composite Fractal Behavior, single/double Jurik filter with floating boundary levels, alerts, and signals. What is Composite Fractal Behavior ( CFB )? All around you mechanisms adjust themselves to their environment. From simple thermostats that react to air temperature to computer chips in modern...
Arnaud Legoux Moving Average with standard deviation band and standard deviation Fibonacci levels. Standard deviation band is alma + stdev and alma - stdev. Fibonacci levels are alma + stdev * fib ratio and alma - stdev * fib ratio (0.382 / 0.5 / 0.618 / 1.618 / 2.618). Used like a moving average, but also shows probable price range based on past volatility, and...
STD Stepped Ehlers Optimal Tracking Filter MTF w/ Alerts is the traditional Ehlers Optimal Tracking Filter but with stepped price levels, access to multiple time frames, and alerts. What is Ehlers Optimal Tracking Filter? From "OPTIMAL TRACKING FILTERS" by John Ehlers: "Dr. R.E. Kalman introduced his concept of optimum estimation in 1960. Since that time,...
█ OVERVIEW This indicator is an attempt to bring all VWAP functionalities under one umbrella suite, the existing VWAPs are great and this was made to provide all functionalities. (pending more updates as well) █ FEATURES Multiple VWAPs MTF Individual Band configuration Previous vwap closes Date tracking of previous closes MTF Options Enabling the other VWAPS...
█ Standard Deviation Refurbished This is an indicator that serves to show the standard deviation in a more improved and less trivial form. Basically, I put the option to normalize the indicator in a range of 0 to 100. I also put 10 moving averages of standard deviation. In the graphic part was placed the choice of themes. Gratitude to the author 'The_Caretaker'...
Heavily modified from Z Score by jwammo12 Compares the z-score of two assets, the onscreen one and the reference one configured. If you're familiar, you can think of it as Bollinger Band Percent of Onscreen Asset minus the Bollinger Band Percent of Reference Asset. It's compared off a simple moving average, due to how standard deviation is calculated. I view...
This is the oscillator version of Price Clouds (PS). Use this with (PS) for best results. This indicator shows you over bought and over sold regions similarly to to rsi or stochastic. This indicator centers a moving average around the hl2 of the price. This is calculated as the difference of four moving averages. The signal line shows you how much momentum in...
It is based on the Choppiness Index indicator. It can show you when the market is in range. If the lines are below the lower band, it can be a strong trend, if it is inside the 2 bands, it is considered to be a choppy market, and if it is crossed down the upper band, it can be a developing trend. This indicator does not show you the trend direction! This may be...
The trendlines with breaks indicator return pivot point based trendlines with highlighted breakouts. Users can control the steepness of the trendlines as well as their slope calculation method. Trendline breakouts occur in real-time and are not subject to backpainting. Trendlines can however be subject to repainting unless turned off from the user settings. The...
In crypto, significant price moves can be a sign of continuation or reversal. This script measures if price move is greater than a certain number of standard deviations vs. previous periods, then alters bar colours and/or prints an emoji signal.
Hello Traders, This indicator uses two indicators st dev extremes and DMI extremes and visualize intersection of both indicators extreme zones using crosses. It means where cross is rendered intersection of extremes has occurred. The standard deviation uses the same calculation as my Standard deviation zones Support & Resistance indicator, DMI indicator measures...
The Ultimate Moving Average Bands were created by me and @RedKTrader and this converts our Ultimate Moving Average into volatility bands that use the same adaptive logic to create the bands. I have enabled everything to be fully adjustable so please let me know if you find a more useful setting than what I have here by default. I'm sure everyone is familiar with...
This is a simple indicator that expands the usability of Standard deviation into a universally usable indicator. This indicator displays the volatility as standard deviation as a % of asset value, this allows using more standardized and comparable values across multiple instruments and asset classes.
Extrapolated Fibonacci MA (FMA) into an RSI i.e. FMA(up) and FMA(dn) of lengths 2, 3, 5, 8, 13, 21, 34, 55, 89 etc. averaged into RSI values. Keep in mind it does not use 'Length' - it uses 'Interval' - how many fib intervals to include in the RSI calculation. I threw in Ehler's Smoothing as well - seems to work quite well, thanks to TV Community for...
This indicator allows you to add up to 3 volatility bands to VWAP based on its Standard Deviation. Best use is for intraday but you can choose higher timeframes too. For day trading a band of 3 standard deviations usually works well as an overbought/oversold region, allowing for mean reversion trading, but you are free to come up with your own strategies. Enjoy!
Mean Reversion indicator based on RSI Divergences at Overbought/Oversold conditions with Price above/below a Standard Deviation from Daily VWAP. Useful for intra-day trading. Signal criteria: 1. RSI is at Overbought/Oversold 2. RSI Divergence present (not hidden) 3. RSI has not reached Neutral level (i.e. 50) 4. Price has crossed above/below a Standard Deviation...
Erzurum Indicators (By DadashKadir) An indicator in which you will keep track of the buying and selling movements by adding the movements of the three moving averages together. The parameters were determined as Moving Average (SMA), Exponential Moving Average (EMA), Weighted Moving Average (WMA) and Volume Weighted Moving Average (VWMA). Its constant value was...
The basis/mean is the equivalent to the pine built in function wma(). It assigns greater weighting to recent data points and less weighting on past data points. The weighted moving average is calculated by multiplying each observation in the data set by a predetermined weighting factor. Similarly the stdev is calculated using the same weighting factors where...