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!
Linear
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 !
Linear Regression SlopeCorrected Version, for
VERSION - 2 () updated for Custom Length, and fixed some formula glitches.
Linear Trailing StopBased on my latest script "Linear Channels"
This is a trailing stop version of the linear channels. Thanks to capissimo for helping me fix several issues with the linear extrapolation part.
In order to know how the indicator work i recommend reading the post on the Linear Channels indicator here
Hope you like it and feel free to leave your suggestions :)
Linear ChannelsIntroduction
I already made an indicator (simple line) that tried to make lines on price such that the results would not repaint and give a good fit to the price, today i publish a channels indicator based on the simple line indicator. The indicator aim to show possible support and resistance levels when the central line posses a low sum of squares with the price, a linear extrapolation was also provided in order to show possible future price positions respective to the channels.
The Indicator
The emphasis parameter of the simple line indicator has been removed, instead we keep length and mult as numerical input parameters. In general length control how persistent the lines are, larger values will create longer lines on average, mult help make the line fit to the price better but might as well affect how spread the channels are as well as the lines average length. When mult > length the lines will fit better the price while when length >= mult the fit might not be the best.
The point parameter allow you to fix the indicator when using it on high market price values or when the indicator exhibit a weird behaviour.
point = false on btcusd
point = true
If the lines still does not fit well enough try to lower length.
I know this might result inconvenient in so many ways but i'am working on simplifying things. Therefore some larger price values might use lower length and use mult instead. For market not using the point parameters a settings of : length > 1 and mult = length*2 might provide a good to go setup.
The channel spreading parameter allow to make spread the channels by a certain factor.
Issues
I'am still not good with line extensions, if it bother you deactivate the extrapolation parameter. Sorry for the inconvenience.
Conclusion
It is possible to make non repainting linear indicators, and i'am working on some of them. While some might argue that price is not linear thus not requiring the use of linear indicators it can still be interesting to use those if they, unlike the linear regression, don't repaints and provide a way to change their directions according to the price trend.
Thanks for reading !
Linear Moving Average by Atilla YurtsevenLinear moving average is one of the best indicators i have written. LMA works like trend lines. Whatever lookback period you chose, it doesn't go very far away from the price.
Disclaimer: This is not financial advice
Remember to follow me if you like to get notified when i publish new indicators or analysis
Trade safe
Atilla
Trading System(Dark)Combo of many useful indicators, contains
1)Regular and Hidden Divergence Buy and Sell signals by scarf
2)Time and Money channels by Lazybear
3)Fibonacci Bollinger Bands by Rashad
4)Linear Regression Curve by ucsgears
Thanks for all the creators for the source codes!
linear regression channel (lirshah)linear regression channel is an indicator which has been written according to linear regression and exponential moving average (ema).
the indicator nicely shows major trend and key levels and has a good performance on almost all pairs and time frames.
Trend-based Lindratic RegressionThis is an effective trend-following script that uses a finite volume element, linear regression, quadratic regression and multiple EMAs to define appropriate times to enter and exit the market. It can be applied to any asset that has volume data available for it.
As it follows the trend it's a very low-risk strategy, but it's not made to catch and ride reversals. It would rather close a long at the top and close a short at the bottom, although this means you can expect not to be stopped out on any trade you take.
Works on any timeframe, although I did create this with the intention of scalping, so shorter timeframes are recommended.
Combined with a volatility filter, this would be a very effective script, allowing you to stand away from the market during flat periods and trading with the trend during exciting periods.
Access to the script will be grated for 10$ of most low-fee cryptocurrencies, as well as BTC. If you're interested reach out to me through TradingView or, alternatively, contact @overttheraibow through Telegram.
If there's enough demand for it, I will also create a strategy version of this study which will be given for free to those who purchased the script. As always, maximum 250 places available.
Good luck!
Tensor CloudIntroducing the Tensor Cloud. This is probably the best indicator I've come up with so far. I'm really proud of it. Ichimoku is a brilliant system. It's been around for over half a century and I praise Goichi Hosoda for his brilliant work. However, it's time for something new. I love math and this indicator really showcases that. The Tensor Cloud is an indicator of its own. It is not related to Ichimoku at all. The only thing they have in common is that they both form clouds. The maths in Tensor Cloud are 100% apart.
The Tensor Cloud is mostly comprised of some special forms of linear regression. Let's do a rundown.
Future Span A (Green)
This is one predictor using a linear regression technique. Future Span A is one of the two lines that makes up a Tensor Cloud. From here on out it will traditionally be colored green. It can be used as both a predictor on its own and comprising the Tensor Cloud. This can also be viewed as sort of a long signal when crossing up Future Span B. This line can also be used to help identify levels of support and resistance.
Future Span B (Red)
This is another form of linear regression meant specifically to work alongside Future Span A. This is the second line that comprises a Tensor Cloud. From here on out it will traditionally be colored red. It can be used both as a predictor on its own and comprising the Tensor Cloud. This can also be viewed as sort of a short signal when crossing down through Future Span A. This line can also be used to help identify levels of support and resistance.
Safe (White)
The Safe is a moving average taken of Future Span A and Future Span B. It is highly predictive. From here on out it will traditionally be colored white.
Tip (Fuchsia)
This is yet another form of regression and is highly predictive. The Tip can also be used to help judge trend strength and probability of reversal. More study is of course needed. More on that later in this description. From here on out it will traditionally be colored fuchsia. This line can also be used to help identify levels of support and resistance.
The Tensor Cloud
The space between Future Span A and Future Span B is shaded in green or red, depending on which Future Span is on top. If Future Span A is on top, the Tensor Cloud will be green. This is considered a long signal. If Future Span B is on top, the Tensor Cloud will be colored red. This is a short signal. Attention should also be given to other factors such as:
The position of price in relation to the Tensor Cloud (Under, inside or above).
The position of Tip in relation to the Tensor Cloud.
Crosses of Future Span A and Future Span B.
Tensor Twist
Whenever Future Span A and Future Span B cross (In either direction), this is called a Tensor Twist. If Future Span A is crossing up, this is a long Tensor Twist. If Future Span B is crossing up, this is a short Tensor Twist.
Closing Summary
Much study needs to be done. This is a brand new technique. It's up to all of you to help figure out the best ways to use it. I may still add other components to this indicator but it's pretty solid as is. You will notice that the two integer inputs are set to 27. Twenty-seven is a very important number in mathematics. The details of that are beyond the scope of this description but from here on out, the traditional setting for those will be 27. You will notice that I am not yet releasing the source code to this indicator. For now, it will remain protected. Once I have enough feedback and we're all happy with the final result, I will release the code for the world to have. I have no wish of keeping this closed-source (As profitable as that might be). I just want it to help as many people as possible.
Please share this on social media so we can attract as many testers to give feedback as possible. For publishing this for free, that's all I ask in return. That way it will be as solid as possible when I release the source code.
Enjoy!
MACD of Linear Regression Slope Indicator I used MACD to find peak and trough points in the Linear Regression Slope
Linear Tendency FollowerLinear Trend Follower follows 'source' trend using lines within a number of periods ('length') using the last n periods source variation divided by 'length' as line slope. It is delayed by 'length' periods.
lin.reg.s_420Hey all,
Snoop here with another script this one is linear regression slope analysis;
I used a base skeleton script of /u/ucsgears before adding some other cumulative log filtering and average customization functions I like :)
If you have success with this script feel free to buy me a coffee through my bitcoin address :)
Appreciate the love I get from the community! Thanks all and happy trading!
-Snoop
Momentum Linear RegressionThe original script was posted on ProRealCode by user Nicolas.
This is an indicator made of the linear regression applied to the rate of change of price (or momentum). I made a simple signal line just by duplicating the first one within a period decay in the past, to make those 2 lines cross. You can add more periods decay to made signal smoother with less false entry.
LWMA w/ Color ChangeLinear Weighted MA that changes colors based on slope.
Green = slope up from last bar
Yellow = slope is 0 from last bar
Red = slope down from last bar
This time with the ability to change the period.
LWMA w/ Color ChangeLinear Weighted MA that changes colors based on slope.
Green = slope up from last bar
Yellow = slope is 0 from last bar
Red = slope down from last bar
Function 2 Point Line using UNIX TIMESTAMP V1experimental:
draws a line from 2 vectors(price, time)
update:
reformatted the function,
added automatic detection of the period multiplier by approximation(gets a bit goofy with stocks/week time),
example using timestamp() function.
offsetting is still bugged, i cant find a way around it atm.
Function Linear Decay V2EXPERIMENTAL:
improved range detection (it now locks range when its last formed on the appropriate side improving readability as it doesnt auto adjust when opposite extreme moves)
[STRATEGY] Follow the Janet YellenIn the era of central bank's helicopter money, the market will always be skyrocketing up and up given enough time.
What's the strategy to profit from indices?
Only short the market when its in a state of euphoria /irrational exuberance bubble, or sell when it is confirmed (20% drawdown). Otherwise, you really have no reason not to long at every chance.
Conclusion:
Follow the printing press like a sheep.
[RS]Decay Channel Candles V0EXPERIMENTAL: Experiment using Linear Regression based on %atr for decay(decay option is a mutiplier for the atr).
[RS]Linear Regression Bands V1experiment with linear regression, the purpose was to catch break outs early, but it creates to much visual noise
same as version 0 but with added margin filter and signal to mark entrys
[RS]Average Advance and Decline Lines V0Method to draw linear regression lines from average price advance&decline range
Linear Regression Slope - Version 2Version 2 - Linear Regression Slope. This version will have more freedom on picking your own length for all the Inputs.
One of the main reason I changed it is because, Slope calculation on transition period was not being computed properly. Because the Version 1, looks back the length assigned, and compute the slope based on two candle readings, could be 10 days apart or 50. That was misleading.
Therefore, I changed it to plot daily slope and Smooth it with an EMA.
Linear Regression Curve -
List of All my Indicators - www.tradingview.com