Qing LRC + S/R + EMA (Trend Cross Logic) at a glance
| Kind of rule | Joining a move (trend following) |
|---|---|
| Buys or sells | It only buys. It does not bet on falling prices. |
| Built on | EMA, Linear regression, Pivot points, Standard deviation, pivot low |
| Where it was published | TradingView, by its author, as a Pine Script strategy |
| Tested on | 68 cells: 15 coins, October 2021 to June 2026, no fee |
| Cells that placed a trade | 66 of 68 |
| Middle result before fees | −2.0% |
| Cells above zero | 0 of 66 |
| Middle drawdown before fees | 1.6% |
| Page updated | 2026-11-08 |
Qing LRC + S/R + EMA (Trend Cross Logic) 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 Qing LRC + S/R + EMA (Trend Cross Logic) works
Rules in this group usually work like this. It waits until price is already moving, then joins that move. It is wrong in small ways many times, and right in a large way a few times. The hard part is the stretch where price chops around and every entry is a fake. The next paragraph is this particular rule, which can be narrower than the group.
It only buys. It does not bet on falling prices. It acts only when several checks agree at once. It leans on EMA, linear regression, pivot high, pivot low; 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. It gets out when another set of checks agrees. That line is in the list below too.
Each trade uses a fixed 1000 of the quote coin. 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 upper channel is above the 20-period EMA of the close and (the low is at or below lower channel or the low is at or below (last s × 1.02)) and the close is above the open and the number of open trades equals 0.
- Closes the position when (lower channel is below the 20-period EMA of the close or the high is at or above upper channel) and a long position is open.
| Buys or sells | It only buys. It does not bet on falling prices. |
|---|---|
| Tools it calculates | EMA, Linear regression, Pivot points, Standard deviation, pivot low |
| 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 | Each trade uses a fixed 1000 of the quote coin. |
| Cost the author assumed | The author assumed a trading cost of 1 percent per side. |
Default settings
The test used the defaults in the middle column. Nothing was turned to help a coin.
| Setting | Default | Group |
|---|---|---|
| LRC Length | 20 | LRC Settings |
| Upper Multiplier | 1.618 | LRC Settings |
| Lower Multiplier | 1.618 | LRC Settings |
| Pivot Left Bars | 5 | |
| Pivot Right Bars | 5 |
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.
Before any fee, it was tried on 68 cells. It placed a trade on 66 of them. 0 of the cells that traded finished above zero (0.0%).
It was not run a second time with a fee. That second pass happens only when at least 12 cells finished above zero before fees. 273 rules got that pass.
| Cells tried | 68 |
|---|---|
| Cells that placed a trade | 66 |
| Finished above zero | 0 (0.0% of the cells that traded) |
| Middle result, before fees | −2.0% |
| Strongest cell, the top of the range | XRP daily: −0.5% |
| Weakest cell, the bottom of the range | ADA daily: −6.7% |
| Middle drawdown, before fees | 1.6% |
Label: backtest · old prices, zero commission · 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 that traded is the result. No fee has been taken off, so the number is a ceiling. A fee comes off each trade, and this page does not guess that cost, because this rule did not get the second pass where the fee is applied. The weakest and the strongest cells are not a result on their own.
The middle drawdown, on the cells that traded, was 1.6%.
What this does not show
The useful question, for a rule that joins a move already underway, is what it gave back in the choppy months when there was no trend to join.
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 Qing LRC + S/R + EMA (Trend Cross Logic)
What is Qing LRC + S/R + EMA (Trend Cross Logic)?
Qing LRC + S/R + EMA (Trend Cross Logic) is a trend following trading strategy published on TradingView as a Pine Script. In plain terms it is a rule of the kind this site calls joining a move. It only buys. It does not bet on falling prices. It is built on EMA, Linear regression, Pivot points, Standard deviation, pivot low. This page reads the rules from the code and reports what they did on old crypto prices.
How does Qing LRC + S/R + EMA (Trend Cross Logic) work?
It only buys. It does not bet on falling prices. It acts only when several checks agree at once. It leans on EMA, linear regression, pivot high, pivot low; 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. It gets out when another set of checks agrees. That line is in the list below too.
Is Qing LRC + S/R + EMA (Trend Cross Logic) profitable in a backtest?
Before any fee, 0 of 66 cells that traded finished above zero, and the median of those cells was −2.0%. No fee has been taken off, so that number is a ceiling. The rule did not reach the second pass where a fee is charged on every trade.
Where can I find the Qing LRC + S/R + EMA (Trend Cross Logic) script?
It is published on TradingView by its author. Search TradingView for the title to find the original script. This page is an independent reading and is not affiliated with the author.
What does backtest mean on this page?
Backtest means the rule was replayed on old prices from Bybit. No real money moved. Every number on this page carries that label, and old prices do not promise anything about new ones.
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 Qing LRC + S/R + EMA (Trend Cross Logic) uses
Each has its own page: what it measures, how it is read, where it misleads.
- Exponential moving average (EMA): what it measures and where it misleads
- Linear regression on a chart: the least-squares line, its slope, and the channel around it
- Pivot points: swing pivots and floor-trader pivots, two different things with one name
- Standard deviation in trading: the volatility measure inside Bollinger Bands and z-scores
"Qing LRC + S/R + EMA (Trend Cross Logic)" 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.