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Linear Regression Trend ChannelThis is my first public release of indicator code and my PSv4.0 version of "Linear Regression Channel", as it is more commonly known. It replicates TV's built-in "Linear Regression" without the distraction of heavy red/blue fill bleeding into other indicators. We can't fill() line.new() at this time in Pine Script anyways. I entitled it Linear Regression Trend Channel, simply because it seems more accurate as a proper description. I nicely packaged this to the size of an ordinary napkin within 20 lines of compact code, simplifying the math to the most efficient script I could devise that fits in your pocket. This is commonly what my dense intricate code looks like behind the veil, and if you are wondering why there is no notes, that's because the notation is in the variable naming. I excluded Pearson correlation because it doesn't seem very useful to me, and it would comprise of additional lines of code I would rather avoid in this public release. Pearson correlation is included in my invite-only advanced version of "Enhanced Linear Regression Trend Channel", where I have taken Linear Regression Channeling to another level of fully featured novel attainability using this original source code. Features List Includes: "Period" adjustment "Deviation(s)" adjustment "Extend Method" option to extend or not extend the upper, medial, and lower channeling Showcased in the chart below is my free to use "Enhanced Schaff Trend Cycle Indicator", having a common appeal to TV users frequently. If you do have any questions or comments regarding this indicator, I will consider your inquiries, thoughts, and ideas presented below in the comments section, when time provides it. 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!
Pine Script™指標
由ImmortalFreedom提供
20
Time Series ForecastIntroduction Forecasting is a blurry science that deal with lot of uncertainty. Most of the time forecasting is made with the assumption that past values can be used to forecast a time series, the accuracy of the forecast depend on the type of time series, the pre-processing applied to it, the forecast model and the parameters of the model. In tradingview we don't have much forecasting models appart from the linear regression which is definitely not adapted to forecast financial markets, instead we mainly use it as support/resistance indicator. So i wanted to try making a forecasting tool based on the lsma that might provide something at least interesting, i hope you find an use to it. The Method Remember that the regression model and the lsma are closely related, both share the same equation ax + b but the lsma will use running parameters while a and b are constants in a linear regression, the last point of the lsma of period p is the last point of the linear regression that fit a line to the price at time p to 1, try to add a linear regression with count = 100 and an lsma of length = 100 and you will see, this is why the lsma is also called "end point moving average". The forecast of the linear regression is the linear extrapolation of the fitted line, however the proposed indicator forecast is the linear extrapolation between the value of the lsma at time length and the last value of the lsma when short term extrapolation is false, when short term extrapolation is checked the forecast is the linear extrapolation between the lsma value prior to the last point and the last lsma value. long term extrapolation, length = 1000 short term extrapolation, length = 1000 How To Use Intervals are create from the running mean absolute error between the price and the lsma. Those intervals can be interpreted as possible support and resistance levels when using long term extrapolation, make sure that the intervals have been priorly tested, this mean the intervals are more significants. The short term extrapolation is made with the assumption that the price will follow the last two lsma points direction, the forecast tend to become inaccurate during a trend change or when noise affect heavily the lsma. You can test both method accuracy with the replay mode. Comparison With The Linear Regression Both methods share similitudes, but they have different results, lets compare them. In blue the indicator and in red a linear regression of both period 200, the linear regression is always extremely conservative since she fit a line using the least squares method, at the contrary the indicator is less conservative which can be an advantage as well as a problem. Conclusion Linear models are good when what we want to forecast is approximately linear, thats not the case with market price and this is why other methods are used. But the use of the lsma to provide a forecast is still an interesting method that might require further studies. Thanks for reading !
Pine Script™指標
由alexgrover提供
24
[RD] LCS - line channels (basic) v3 - [republish]================================================================== July 18 2019 - LCS - line channels (basic) by RootDuk Version : v3 - read the notes ================================================================== Easy script to draw channels based on ie. GANN using the following input params - ibback : barsback to search for high and low - ffactor : factor to up/downscale the lines - oextend : extend lines, left, right, both, none - bshowline : show horizontal lines yes/no - bsshowdown : show diag down lines yes/no - bsshowup : show diag up lines yes/no - bshowindm : show index marker, where is you current ibback =================================================================== Notes =================================================================== When you use this code, pls let me know where and how you used it as iam always curious what some can do with it. Thanks! =================================================================== Updates =================================================================== v1 v2 - July 17 2019 - Removed support wallets from source code. I think the source - has been deleted because of this, find no other clue. v3 - July 18 2019 - Republish
Pine Script™指標
由RootDuk提供
9
Linear regression slope as SARThis model calculate the slope of the linear regression and give you the uptrend or the down trend of the slope red line are downtrend and green line are up trend using len 1 you can make it longer or shorter (I put it on length of 40 but you can change that to what ever you want ) Similar to SAR it can give us the trends of buy and sell only by doing it by the linear way try longer length to see if it smooth the signal 4 hour graph
Pine Script™指標
由RafaelZioni提供
6
Linear regression % channelThis channel is based on Linear regression by its % difference from the price the high and the low are determine by the % from the close price . For the best fit you need to put the TF on the same min of the graph. I put the channel to be 3 % above and bellow the price .by the same way you can add to the script more % line to make it better this is good indicator for filtering (if you want your signal to be above or bellow the % channel) or if you want to enter at certain price and exit by the regular TV alerts so it more easy where your target for long or short exist
Pine Script™指標
由RafaelZioni提供
Dorsey InertiaThis indicator was originally developed by Donald Dorsey (Stocks & Commodities, V.13:9 (September, 1995): "Refining the Relative Volatility Index"). Inertia is based on Relative Volatility Index (RVI) smoothed using linear regression. In physics, inertia is the tendency of an object to resist to acceleration. Dorsey chose this name because he believes that trend and inertia are related and that it takes more effort and energy to reverse the direction of a stock or market than to keep it in the same direction. He argues that the volatility is the simplest and most accurate measure of inertia. When the indicator is below 50, it signals bearish market sentiment and when the indicator is above 50 it signals a bullish trend. Good luck!
Pine Script™指標
由everget提供
5
Linear Regression Channel [jwammo12]This is a non-repaint version of the built-in linear regression indicator in pine. It creates moving bands where the current bar matches the built-in Linear Regression indicator exactly (see screenshot). The key to replicating the built-in function is calculating the std deviation across the length of bars away from the current Linear Regression line, as opposed to the linear regression line that would have been calculated at the historic bar.
Pine Script™指標
由jwammo12提供
9
linreg-areas (like fib system just more accurate) So this system is a different approach to form a daily fib like system. Its based on linear regression and its slope , we calculate the slope of the line and we put it in MTF format that is without security and non repainting (int2=1440 min) As you in graph the coin in this case BTC has cycle from low to high similar to the fibs system. the lowest level is bellow -0.2 , next level is -0.1 ,0,0.1 and above 0.2 is consider the highest with this system its easy to find the highs and the lows as the coin go between the levels either up or down like the fibs system. one can use this together with fibs system in order to make analysis more accurate. also it easy to set signals once the slope go between levels either up or down . another advantage for this system compare to fibs system is the ability to reduce the MTF to lower frame let say 4 hour or even less and then by the same logic to create system of high and lows to the most smaller frames (but if you do that you need in code to change the levels setting numbers so it fit the best ) follow the direction of the slope and you will find the road that you wish:))
Pine Script™指標
由RafaelZioni提供
4