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Strategy vault / Breakout

Linear Regression

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…

Author
ChaoZhang
Complexity
Intermediate · 68 lines
Parameters
11
Backtest bar
45m · intraday
Tested on
BTC/USDT · futures

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

IMG

Parameters

NameDefaultWhat it controls
v_input_1_close0source: close | high | low | open | hl2 | hlc3 | hlcc4 | ohlc4
v_input_2100length
v_input_3falseoffset
v_input_42Deviation
v_input_5truesmoothing
v_input_6Resolution
v_input_74S&R Thickness
v_input_80Signals Display: Recent | All
v_input_90Up Color: Lime | Red | Orange | Teal | Yellow | White | Black
v_input_100Down Color: Red | Lime | Orange | Teal | Yellow | White | Black
v_input_11falseEnd At Bar Index

Source Pine Script

/*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)

Published by ChaoZhang on the FMZ strategy square · last modified 2022-05-24. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

Build this with AgenKit

A spec is not a trading system. Paste this into your coding agent and AgenKit runs a specialist team — architecture, test-first build, risk gates, review — with paper trading on by default.

in Claude Code, Cursor, Codex & 4 more
/agenkit build a production-grade trading bot with a backtest engine, risk controls and paper trading by default from strategies/Linear-Regression.md
  1. npx agenkit install engineering-kit in your project
  2. Paste the command into your agent and approve each phase
  3. Get tests, backtest, risk controls and a paper-trading switch

Understand it first

Before you run this, read the lesson behind the idea and how to backtest it honestly. Specs like this one are the survivors of an unknown number of trials; deflate their results accordingly.

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