AE Linear Regression

AE Linear Regression at a glance

Kind of rule	Breakout
Buys or sells	It can buy, and it can bet on falling prices.
Built on	ATR, Linear regression
Where it was published	TradingView, by its author, as a Pine Script strategy
Tested on	34 cells: 8 coins on 5 chart speeds (15m, 30m, 1h, 4h, 1D), October 2021 to June 2026
Fee in the test	0.12 percent per side, buys only
Middle result after fees, every cell	−0.0%
Cells above zero	2 of 34
Cells that cleared the quality check	0 of 34
Middle drawdown, every cell	0.1%
Page updated	2026-11-08

AE Linear Regression backtest results, every cell

Every cell is in the picture, not only the strongest. To the right of the black line is above zero. The orange line, when you see one, is the middle.

How AE Linear Regression works

Rules in this group usually work like this. It buys when price pokes above a recent high, and it bets on a fall when price pokes under a recent low. It is wrong often. It pays for those false starts with the few times price keeps going. How far back it looks decides how many pokes it takes. The next paragraph is this particular rule, which can be narrower than the group.

It can buy, and it can bet on falling prices. It acts only when several checks agree at once. It leans on ATR; those names are explained on their own pages, further down. The exact line is in the list below, in the author's names, and you can skip that list. When it enters, it also sets a stop or a target, so a trade can close without a new signal.

The author did not set a size, so each trade uses whatever amount the code assumes. It holds one trade at a time.

The exact condition, from the code

Same rule, translated from the code, in the author's names. You can skip this list if the paragraph above was enough.

• Enters long when (bool atrok and the previous low is below lrdny3d1 and the close is above lrdny2d1 when Use ATR? (on), else the previous low is below lrdny3d1 and the close is above lrdny2d1).
• Enters short when (bool atrok and the previous high is above lrupy3d1 and the close is below lrupy2d1 when Use ATR? (on), else the previous high is above lrupy3d1 and the close is below lrupy2d1).
• On entry, places a stop at (the close − channel diff), a target at (the close + cast float ((channel diff × Risk Reward Ratio Multiplier (2.5)))).
• On entry, places a stop at (the close + channel diff), a target at (the close − cast float ((channel diff × Risk Reward Ratio Multiplier (2.5)))).

Buys or sells	It can buy, and it can bet on falling prices.
Tools it calculates	ATR, Linear regression
A second chart speed	No. It uses one chart speed only.
Only at certain hours	No.
Adding to a trade	It holds one trade at a time.
How much it trades	The author did not set a size, so each trade uses whatever amount the code assumes.
Cost the author assumed	The author assumed no trading cost.

Default settings

The test used the defaults in the middle column. Nothing was turned to help a coin.

Setting	Default	Group
Linear Regression 1 & 2 Length	200	Linear Regression
Linear Regression Inner Deviation	2	Linear Regression
Linear Regression Outer Deviation	2.5	Linear Regression
Extend Regession Channel	None	Linear Regression
Source	close	Trade Data
Stop Loss Delta multiplier	2	Trade Data
Risk Reward Ratio Multiplier	2.5	Trade Data
ATR Value	14	ATR Filtering
Use ATR?	on	ATR Filtering

How the backtest was run

Every strategy was tried the same way, on the settings the author published.

The years are October 2021 to June 2026. The prices are from Bybit, for 13 widely traded coins, mostly on hourly, 4-hour and daily charts, with some faster charts. That was 47,242 tries. The window stored in the files is 2021-09..2026-06.

599 rules produced a finished try. A rule that finished above zero on at least 12 cells, before any fee, was tried again with a fee of 0.12 percent per side. Only buys are counted in that second try. 273 rules got it.

The method, the aggregate results and a downloadable table are on the study page. What the desk does with the results beyond these pages is its own.

This is the second pass. A fee of 0.12 percent per side is taken on the buy and again on the sell. Only buys are counted. If the rule also bets on falling prices, those trades are not in these numbers.

After fees, 2 of 34 cells finished above zero (5.9%). The median of every cell was −0.0%.

0 of the cells cleared a quality check: at least 50 trades, gains that are not one lucky trade, and a drawdown that is real without taking the whole account.

Finished above zero by chart speed: 15-minute chart, 15m 0 of 8; daily chart, 1D 1 of 6; hourly chart, 1h 0 of 7; 30-minute chart, 30m 0 of 7; 4-hour chart, 4h 1 of 6.

Cells tried after the fee	34
Finished above zero	2 (5.9%)
Middle result, the median of every cell	−0.0%
Middle drawdown, every cell	0.1%
Cells that cleared the quality check	0
Middle result, over the cells above zero	+1.7%
Extra, Calmar on the rows above zero. Result divided by the deepest fall	0.00
Extra, Sharpe on the rows above zero. Result divided by how bumpy the path was	0.31
Middle drawdown, the rows above zero	0.5%
Deepest fall, the rows above zero	1.0%
Middle number of trades, the rows above zero	30

Label: backtest · old prices, buys only, a fee of 0.12 percent per side, every cell · Oct 2021 – Jun 2026. Hypothetical results; see the risk disclosure.

How to read the result

How to read the number

The median of every cell is the result of the rule. The author's settings were not changed to help any coin. The weakest and the strongest cells are not a result on their own.

What the number leaves out

The table also shows +1.7%, taken only over the cells that finished above zero. Cells that finished down are left out of that figure, which is why it stands away from the median of every cell. It describes those rows only.

0 of 34 cells cleared a quality check: at least 50 trades, a profit factor that is not one lucky trade, and a drawdown that is real without taking the whole account. Profit factor means the gains divided by the losses. Clearing the check describes this sample. It says nothing about the next set of years.

The count above is also split by chart speed. A speed that finished higher, in these years, is one slice of the same rule. It is not a separate strategy.

What this does not show

The useful question is what the false starts cost. Count the trades, not the one that kept going.

Nothing on this page was fit to the cell that finished highest. One coin, one chart speed, or one strong stretch is a single row. It is not the rule. Other years, another exchange, or another fee would be a different measurement.

Questions about AE Linear Regression

Words used on this page

Backtest

The rule was tried on old prices. No real money moved.

Cell

One coin on one chart speed. Bitcoin every 4 hours is one cell. Bitcoin once a day is another.

Chart speed

How often a new price bar is drawn. 15m means every 15 minutes, 1h means hourly, 4h means every 4 hours, 1D means once a day.

Fee, per side

A cost taken each time the rule trades. Per side means once on the way in and once on the way out.

Median

Line the cells up from the biggest loss to the biggest gain. The median is the middle one. Half the cells did better and half did worse.

Drawdown

The deepest fall from a high point along the way, as a percent of the account at that high.

Above zero

The account finished with more than it started.

The indicators AE Linear Regression uses

Each has its own page: what it measures, how it is read, where it misleads.

• ATR (average true range): the volatility number behind most stops
• Linear regression on a chart: the least-squares line, its slope, and the channel around it

"AE Linear Regression" was published on TradingView by its author, under the author's own license. This page is an independent reading of those rules and of what they did on these old prices. It is not written with the author, and it is not a recommendation. Not every detail survives the translation onto this page, so read the original before you rely on it.