Linear-Regression.md

Name

Linear-Regression

Author

ChaoZhang

Strategy Description

ue to public demand

Linear Regression Formula Scraped Calculation With Alerts

Here is the Linear Regression Script For traders Who love rich features

Features ++ Multi time frame -> Source Regression from a different Chart ++ Customized Colors -> This includes the pine lines ++ Smoothing -> Allow Filtered Regression; Note: Using 1 Defaults to the original line. The default is 1 ++ Alerts On Channel/Range Crossing

Usage ++ Use this for BreakOuts and Reversals ++ This Script is not to be used Independently

Risks Please note, this script is the likes of Bollinger bands and poses a risk of falling in a trend range. Signals may Keep running on the same direction while the market is reversing.

Requests If you have any feature requests, comment below or dm me. I will answer when i can. Feel free to utilize this on your chart and share your ideas

For developers who want to use this on their chart, Please use this script The original formula for calculation is posted there

❤❤❤ I hope you love this. From my heart! ❤❤❤

backtest

Strategy Arguments

Argument	Default	Description
v_input_1_close	0	source: close
v_input_2	100	length
v_input_3	false	offset
v_input_4	2	Deviation
v_input_5	true	smoothing
v_input_6		Resolution
v_input_7	4	S&R Thickness
v_input_8	0	Signals Display: Recent
v_input_9	0	Up Color: Lime
v_input_10	0	Down Color: Red
v_input_11	false	End At Bar Index

Source (PineScript)

/*backtest
start: 2022-04-23 00:00:00
end: 2022-05-22 23:59:00
period: 45m
basePeriod: 5m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © LucemAnb
// User Version

//@version=4
study("Linear Regression ++ [Lucem Anb]", "Lin Reg ++ [Lucem Anb]", overlay=true)


source      = input(close)
length      = input(100, minval=1)
offset      = input(0, minval=0)
dev         = input(2.0, "Deviation")
smoothing   = input(1, minval=1)
mtf_val     = input("", "Resolution", input.resolution)
line_thick  = input(4, "S&R Thickness", minval=1, maxval=4)
signals     = input("Recent", "Signals Display", options=["Recent", "All"])
p           = input("Lime", "Up Color", options=["Red", "Lime", "Orange", "Teal", "Yellow", "White", "Black"])
q           = input("Red", "Down Color", options=["Red", "Lime", "Orange", "Teal", "Yellow", "White", "Black"])
goto        = input(0, "End At Bar Index")

cc(x) => x=="Red"?color.red:x=="Lime"?color.lime:x=="Orange"?color.orange:x=="Teal"?
 color.teal:x=="Yellow"?color.yellow:x=="Black"?color.black:color.white
data(x) => sma(security(syminfo.tickerid, mtf_val!="" ? mtf_val : timeframe.period, x), smoothing)

linreg = data(linreg(source, length, offset))
linreg_p = data(linreg(source, length, offset+1))
plot(linreg, "Regression Line", cc(linreg>linreg[1]?p:q), editable=false)

x = bar_index
slope = linreg - linreg_p
intercept = linreg - x*slope
deviationSum = 0.0
for i=0 to length-1
    deviationSum:= deviationSum + pow(source[i]-(slope*(x-i)+intercept), 2)  
deviation = sqrt(deviationSum/(length))
x1 = x-length
x2 = x
y1 = slope*(x-length)+intercept
y2 = linreg

updating = goto <= 0 or x < goto



dm_current = -deviation*dev + y2
dp_current = deviation*dev + y2
buy = crossunder(close, dm_current)
sell = crossover(close, dp_current)
alertcondition(buy, "Buy Lin Reg", "Crossing On the Lower Regression Channel")
alertcondition(sell, "Sell Lin Reg", "Crossing On the Higher Regression Channel")

plotshape(buy, "BUY", shape.labelup, location.belowbar, color.lime, text='BUY', textcolor=color.black, show_last=signals=="All"?99999999:length)
plotshape(sell, "SELL", shape.labeldown, location.abovebar, color.red, text='SELL', textcolor=color.white, show_last=signals=="All"?99999999:length)
    
plot(x, "Bar Index", color.aqua, line_thick, plot.style_cross, display=display.none)

if buy
    strategy.entry("Enter Long", strategy.long)
else if sell
    strategy.entry("Enter Short", strategy.short)

Detail

https://www.fmz.com/strategy/365345

Last Modified

2022-05-24 14:17:42