Power Momentum by Atilla YurtsevenThe Power Momentum indicator calculates momentum in a different way. The graph may look similar. The important part is the color of the bars.
If you set the "Base Line" to "Zero", there are two important things to notice. The orange color when the bars are below the base and the blue color when the bars are above the base.
If you set the "Base Line" to "Stats", instead of coloring bar, you see the bars in exact positions. For example; "Zero" shows you orange bar below the base line but "Stats" shifts the bars over the Base line.
Momentum is calculated statistically. If the momentum moves over to the preset levels, bar colors change concurrently.
BAR STATES
Orange: Orange bar below the base line means high possibility of an upcoming up movement
Blue: Blue bar above the base line means high possibility of an upcoming down movement
I hope you enjoy this indicator. As I stated in my previous indicators, i use statistical methods while developing my indicators.
Disclaimer: All the information in this article, including the indicator, was provided and published for informational purposes only and should not be considered legal or financial advice. Please use at your own risk.
Please remember to follow me and post some comments so i can share more indicators.
Happy trading! :)
Atilla Yurtseven
Statistical
The Path by Atilla Yurtseven: A statistical approach to TradingThe Path uses a statistical method that I have developed to indicate possible Lows and Highs of the current bar for the selected time frame. You can see the range at the opening of the bar. You can narrow or widen the range by changing the "Range %".
What does The Path indicate?
The Path uses a statistical method and calculates the limits of the bar. For example when you enter 75 as "Range %", this means there is 75% probability that High of the bar will be below the top line and 75% probability that Low of the bar will be over the bottom line. You can simply change the range probability between 1-99. The Path looks at the past bars (Look back period) and uses a statistical method to forecast.
The Path does not repaint. Range is there at the opening of the bar and never changes. So when you look at the past data, you can see how it worked well in the past!
The Path works with all time-frames (1min-1month and etc.) and all asset classes (Forex, Stocks, Cryptocurrencies and etc.). It simply works.
Please kindly share your opinions and experiences and feel free to send a comment at the below of this post so i can share more statistical indicators that i have developed based on my method.
Please remember to follow me as well and keep in touch!
FYI: This is an indicator that I have developed for myself. You can use it, apply or not to apply it to your trades. Keep in mind that, you are responsible for all your loses (or wins). Risk is 100% yours. Please use / try "The Path" only if you accept this condition.
Have fun :)
Atilla Yurtseven
Pinks Moving Average SignificanceThis indicator is meant as a means to assess the significance ("strength") of a Moving Average , in other words how likely it is that price action is going to find support or resistance at the MA.
How it works
When the high or low of a candle is within the band around the MA defined by the "fuzziness" parameter, the significance of the MA increases proportional to how close the wick is to center of the band. When the price crosses fully through the band, its significance decreases. The strength will slowly decrease based on the "Lag Length" parameter.
The significance of the MA can be seen from the strength of its bands color.
How to use
MA Length: The length of the Moving Average.
Fuzziness : Width of the MA band, in percent.
Lag Length: How slowly the MA strength changes.
Source: Source data for Moving Average.
SMA Cross Penalty: How strongly the strength of the MA is reduced when price crosses it. Recommended to leave at default value.
Full color at : When the MA is at this percentage of its full strength, the color of the band will be completely opaque.
Pinks Statistical Support and ResistanceSupport and Resistance levels based on statistical methods
This is an autonomous Support and Resistance (S&R) indicator that locates levels where the price of an asset is likely to meet resistance or support. It works on all timeframes, and on any asset. It is more advanced than many other indicators that purport to do the same thing.
How to use Pinks Statistical Support and Resistance
It is recommended to turn off Indicator Values when using this indicator. Do do this, perform the following:
Right click somewhere on your chart window background
Click Properties
Click on the "Background" tab
Uncheck "Indicator Values*
Parameters
Length: How many candles in the past the algorithm will use for calculating S&R levels.
Cleanup parameter: How strongly the algorithm will discard certain datapoints it does not consider important in its calculations.
Acceptance: This parameter sets the limit for what the algorithm considers a S&R level. Lower values will display more (and weaker) levels, higher values will show fewer (and stronger) levels.
Multi-Timeframe VWAPShows the Daily, Weekly, Monthly, Quarterly, and Yearly VWAP.
Also shows the previous closing VWAP, which is usually very near the HLC3 standard pivot for the previous time frame. i.e. The previous daily VWAP closing price is usually near the current Daily Pivot. Tickers interact well with the previous Daily and Weekly closing VWAP.
Enabling the STDEV bands shows 3 separate standard deviation levels, defaulted at 1, 2, and 3. The lookback period for the bands is always changing with each new bar, since the standard deviation is calculated from the current bar to the beginning of the period. This is different from bollinger bands, as the lookback is constant (usually 20 periods is the textbook default).
The STDEV bands interval of interest can be changed from Day (D), Week (W), Month (M), Quarter (Q), Year (Y).
Tickers tend to bounce very well on Daily, Weekly, and Yearly VWAP (Yes... Year). Use this code and observe the Year VWAP on several major symbols through the past few years and eyes will be opened.
GEOMETRIC STANDARD DEVIATION BANDS v1 by @XeL_ArjonaGEOMETRIC STANDARD DEVIATION BANDS
Ver.1 By Ricardo M Arjona @XeL_Arjona
DISCLAIMER:
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is.
WHAT'S THIS?
This IS NOT the wheel "Re-Invention"... This is exactly what the name says: A pair of Envelope Bands to measure "volatility", constructed at statistical relation from within price series and their Rolling back MEAN (Simple Moving Average). YES, What Mr. Bollinger did and put it's name to this simple, cleaver and popular formula.
This time, I took the time to make another simple mod, but seems to me to be quite functional in REAL VOLATILE assets like in the example chart: TO USE THEIR GEOMETRIC MODE!!
Cheers!
Any feedback or public modification(s) are quite welcome to the community....!
@XeL_Arjona
Apr 28 2016
EVWMA Acc/Dist. Pressure & FRACTAL BANDS by @XeL_ArjonaEVWMA ACCUMULATION/DISTRIBUTION PRESSURE & FRACTAL BANDS
Version: 3.0 @ 4.11.2015
By Ricardo M Arjona @XeL_Arjona
DISCLAIMER:
The following indicator IS NOT INTENDED TO BE A FORMAL INVESTMENT ADVICE OR TRADING RECOMMENDATION BY THE AUTHOR, nor should be construed as such. Users will be fully responsible by their use regarding any kind of trading vehicles or assets.
The following script and ideas within this work are FREELY AND PUBLICLY availables on the Web for NON LUCRATIVE ACTIVITIES and must remain as is.
-== IMPORTANT: THIS IS AN EXPERIMENTAL INDICATOR ==-
What is this?
This work is a derivation of my previous Accumulation/Distribution scripts publicly available in TradingView in an effort to clean, speedup and make the indicator cleaner as possible.
The current indicator is based on already tested and Mathematically proof concepts as described below:
The MAIN Rolling back median line or "Vortex" is constructed by a simple and equal weighting of distributed volume along the candle range (This approach is just an "estimator" of Buyers Vs. Sellers given the lack of tick resolution in TradingView, a real "DELTA" can only be 100% reliable with Market Depth (Ask/Bid ticks)), Given this, with each "volume weights", the price is post-processed against a true statistical Average calculation formerly: ELASTIC VOLUME WEIGHTED MOVING AVERAGE.
The FRACTAL BANDS are just Standard Deviation's with GOLDEN RATIO as multiplier (1.618) derived one from each other within it's origin on the former "Vortex Median".
The Standard Error Bands comply as the original indicator described by Jon Andersen but given the true statistical nature of EVWMA, the original LinReg line has been substituted by the former.
ALL NEW IDEAS OR MODIFICATIONS to this indicator are welcome in favor to deploy a better technical tool. Any important addition to this work MUST REMAIN PUBLIC by means of CreativeCommons CC & TradingView user rules. (C) 2015 @XeL_Arjona
Standard Error Bands by @XeL_arjonaStandard Error Bands - Code by @XeL_arjona
Original implementation by:
Traders issue: Stocks & Commodities V. 14:9 (375-379):
Standard Error Bands by Jon Andersen
Version 1
For a quick and publicly open explanation of this Statistical indicator, you can refer at Here!
Extract from the former URL:
Standard Error bands are quite different than Bollinger's. First, they are bands constructed around a linear regression curve. Second, the bands are based on two standard errors above and below this regression line. The error bands measure the standard error of the estimate around the linear regression line. Therefore, as a price series follows the course of the regression line the bands will narrow, showing little error in the estimate. As the market gets noisy and random, the error will be greater resulting in wider bands.
StatArbPair trading is employed by professional traders to outperform the market. This script is a complete trading strategy where you can set your own parameters and the system will generate ready to trade signals. All you have to do is just execute profitable trades based on your own parameters.
Statistical Volatility - Extreme Value Method This indicator used to calculate the statistical volatility, sometime
called historical volatility, based on the Extreme Value Method.
Please use this link to get more information about Volatility.
