Linear Regression curve supported by Upper and Lower Standard Deviation bands to support your decision
Linear regression series is the average of Close and VWAP to guarantee volume is represented in calculation
Interpretation is similar to what you do with Bollinger Bands
Hello, this script was created by using Linear Regression Bands Function with variable Function Minkowski Distance Adaptive Period.
Function Linear Regression Bands :
Minkowski Distance Function Original Script by RicardoSantos :
Functions saved from overloads . And suitable for mutable variable periods.
Regards.
This is meant as a partner to my linear regression strategy script. This one however is just the indicator only so you can overlay the technique over other strategies.
To use this script you need to understand what Pearson's R is; which is how correlated a set of data is to a line within a given deviation (+ or -).
If the Pearson's R is negative (-) then the...
Pair trade for crypto with inputs:
* length of correlation and moving average
* trade pair
* spread threshold to enter long / short
* spread threshold to exit long / short
Pair trade with inputs:
* length of correlation and moving average
* trade pair
* spread threshold to enter long / short
* spread threshold to exit long / short
This script takes advantage of the Pearson's R attribute of the data set you provide.
Pearson's R attempts to find how correlated data is with a potential pattern. If the number is negative the correlation is upwards . If it's positive the correlation is downwards . Pearson's R can only be a number between -1 and 1. It should be impossible to ever...
Leavitt Projection, Convolution, & Acceleration by Cryptorhythms
Intro
Bringing you another open source Gem this time from the January 2020 Issue of TASC.
Description
In the article in the Oct 2019 TASC issue titled "An interplanetary marriage" author Jay Leavitt describes the evolution process required in strategy design by introducing his Mars strategy....
Hot off the press, I present this next generation "Leavitt Convolutions Multicator" employing PSv4.0, originally formulated by Jay Leavitt, Ph.D. for TASC - January 2020 Traders Tips. Basically it's an all-in-one combination of three Leavitt indicators. This triplet indicator, being less than a 60 line implementation at initial release, is a heavily modified...
Experimental NAND Perceptron based upon Python template that aims to predict NAND Gate Outputs. A Perceptron is one of the foundational building blocks of nearly all advanced Neural Network layers and models for Algo trading and Machine Learning.
The goal behind this script was threefold:
To prove and demonstrate that an ACTUAL working neural net can be...
NOTE: Experimental. Pinescript implementation of Decimal to Binary and Binary to Decimal that is intended for use in the development of a neural network proof of concept.
Intended for use in as subcomponent in the development of a more complex/highly experimental prototype.
Protection/logic for edge cases above 11111111/255 (8bits) is NOT implemented.
...
This plots logarithmic curves fitted to major Bitcoin bear market tops & bottoms. Top line is fitted to bull tops, bottom line is fitted to lower areas of the logarithmic price trend (which is not always the same as bear market bottoms). Middle line is the median of the top & bottom, and the faded solid lines are fibonacci levels in between.
Inspired by & based...
Thanks to HPotter for the code I based this strategy on.
Center of Gravity calculation is based here on a linear regression function using the least squares method.
We use this to calculate a channel consisting of 2 lines, green and red on the chart
This strategy employs a dynamic stop loss function that measures stop loss placement based on recent ATR.
How...
This is an experimental study which calculates a linear regression channel over a specified period or interval using custom moving average types for its calculations.
Linear regression is a linear approach to modeling the relationship between a dependent variable and one or more independent variables.
In linear regression, the relationships are modeled using...
Used with Pearson Correlation. It can be used to make sense of the trends. Very successful results can be obtained with a MACD style indicator and volume indicator that gives Buy and Sell orders.Open for adaptive and mutable variable periods of moving averages. Best regards!
Historically matched market tops for BTC.
It's the Average Cap (see my other indicator) multiplied by 35.
The default settings are for BTC.
If you want to test this indicator on another chart you have to change the launch date settings (and maybe play around with the multiplier).
Some Interesting Launch dates:
- BTC: 3 JAN 2009
- ETH: 30. JUL 2015
- LTC: 7. OCT 2011
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...
![BTCUSD: Regression Channel [DW]](https://s3.tradingview.com/x/xnMdv0lA_mid.png "Regression Channel [DW]")
![BLX: Top Cap [aamonkey]](https://s3.tradingview.com/y/YBkduTTl_mid.png "Top Cap [aamonkey]")
