This is the power law model by Berger in script form for Tradingview. Enjoy!
Holt's Forecasting method Holt (1957) extended simple exponential smoothing to allow the forecasting of data with a trend. This method involves a forecast equation and two smoothing equations (one for the level and one for the trend): Forecast equation: ŷ = l + h * b Level equation: l = alpha * y + (1 - alpha) * (l + b) Trend equation: b = beta * (l - l)...
This 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...
Introduction 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...
Based 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 :)
Introduction 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...
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!
I used MACD to find peak and trough points in the Linear Regression Slope
The worst way of the using Linear Regression
Linear 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.
The 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.
Linear 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.
Linear 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
experimental: 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.
EXPERIMENTAL: 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)
In 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. ...
EXPERIMENTAL: Experiment using Linear Regression based on %atr for decay(decay option is a mutiplier for the atr).
experiment 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