Liquidity Entry Zones at a glance
| Kind of rule | Chart turning points (price action and market structure) |
|---|---|
| Buys or sells | It can buy, and it can bet on falling prices. |
| Built on | ATR, EMA, Pivot points, pivot low |
| Where it was published | TradingView, by its author, as a Pine Script strategy |
| Tested on | 20 cells: 7 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 | 5 of 20 |
| Cells that cleared the quality check | 0 of 20 |
| Middle drawdown, every cell | 0.0% |
| Page updated | 2026-11-08 |
Liquidity Entry Zones 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 Liquidity Entry Zones works
Rules in this group usually work like this. It tries to act the way a person reading a chart would: at spots where price turned, at gaps, and at places where many people are likely to have set a stop. In code those ideas become counts of bars. The result depends on how those spots are defined. 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, EMA, 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. 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 buy confirmed and cooldown passed and allow long signal.
- Enters short when sell confirmed and cooldown passed and not (raw buy signal and cooldown passed) and allow short signal.
- On entry, places a target at (the close + (Take Profit (Pips) (2000) × get pip size (Pip Mode (Auto Detect)))), a stop at (the close − (Stop Loss (Pips) (500) × get pip size (Pip Mode (Auto Detect)))).
- On entry, places a target at (the close − (Take Profit (Pips) (2000) × get pip size (Pip Mode (Auto Detect)))), a stop at (the close + (Stop Loss (Pips) (500) × get pip size (Pip Mode (Auto Detect)))).
| Buys or sells | It can buy, and it can bet on falling prices. |
|---|---|
| Tools it calculates | ATR, EMA, Pivot points, pivot low |
| A second chart speed | No. It uses one chart speed only. |
| Only at certain hours | Yes. It only acts during set hours. |
| 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 |
|---|---|---|
| EMA Length | 50 | |
| Use EMA Trend Filter | on | |
| Pip Mode | Auto Detect | |
| Swing Pivot Length | 5 | |
| Stored Liquidity Levels | 20 | |
| Minimum Sweep Distance (Pips) | 30 | |
| Reclaim Rule | Close Back Inside | |
| Minimum Sweep Wick % | 0.35 | |
| Maximum Body % | 0.65 | |
| Minimum Candle Range (Pips) | 20 | |
| Long Confirmation Must Be Bullish | on | |
| Short Confirmation Must Be Bearish | on | |
| Max Bars After Sweep For Confirmation | 2 | |
| Require Sweep Candle Midline Break | on | |
| Cooldown Bars Between Signals | 10 | |
| Enable Internal Trade Simulation | on | |
| Take Profit (Pips) | 2000 | |
| Stop Loss (Pips) | 500 | |
| Block New Signals While Trade Is Active | on | |
| Show Stopped Trades | off | |
| Show Signal Labels | on | |
| Show Entry Line | on | |
| Show Status Panel | on | |
| Color Signal Bars | on |
and 4 more settings, left at the author's defaults.
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, 5 of 20 cells finished above zero (25.0%). 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 1; daily chart, 1D 2 of 6; hourly chart, 1h 0 of 3; 30-minute chart, 30m 1 of 6; 4-hour chart, 4h 2 of 4.
| Cells tried after the fee | 20 |
|---|---|
| Finished above zero | 5 (25.0%) |
| Middle result, the median of every cell | −0.0% |
| Middle drawdown, every cell | 0.0% |
| Cells that cleared the quality check | 0 |
| Middle result, over the cells above zero | +0.0% |
| 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 | 0.16 |
| Middle drawdown, the rows above zero | 0.0% |
| Deepest fall, the rows above zero | 0.0% |
| Middle number of trades, the rows above zero | 15 |
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 middle cell closed only 22 trades. With so few trades, the size of the median moves when the years change. How many cells finished above zero is the more settled fact.
0 of 20 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 how the turning points are counted in the code. A person can be vague. The code has to count bars.
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 Liquidity Entry Zones
What is Liquidity Entry Zones?
Liquidity Entry Zones is a price action and market structure trading strategy published on TradingView as a Pine Script. In plain terms it is a rule of the kind this site calls chart turning points. It can buy, and it can bet on falling prices. It is built on ATR, EMA, Pivot points, pivot low. This page reads the rules from the code and reports what they did on old crypto prices.
How does Liquidity Entry Zones work?
It can buy, and it can bet on falling prices. It acts only when several checks agree at once. It leans on ATR, EMA, 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. When it enters, it also sets a stop or a target, so a trade can close without a new signal.
Is Liquidity Entry Zones profitable in a backtest?
In this backtest, more cells lost than gained. After a fee of 0.12 percent per side, 5 of 20 cells finished above zero and the median of every cell was −0.0%. A backtest is a replay on old prices, so it describes these coins and these years, not a future result.
What was the drawdown of Liquidity Entry Zones?
The median drawdown across every cell was 0.0%, and the deepest fall in any cell was 25.2%. Drawdown is the deepest fall from a high point along the way, as a percent of the account at that high.
Which timeframe suited Liquidity Entry Zones?
Counted by cells above zero: 15-minute (15m) 0 of 1; 30-minute (30m) 1 of 6; hourly (1h) 0 of 3; 4-hour (4h) 2 of 4; daily (1D) 2 of 6. The 4-hour chart had the largest share above zero in these years. A chart speed that did better here is one slice of the same rule, not a separate strategy.
Where can I find the Liquidity Entry Zones 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 Liquidity Entry Zones 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
- Exponential moving average (EMA): what it measures and where it misleads
- Pivot points: swing pivots and floor-trader pivots, two different things with one name
"Liquidity Entry Zones" 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.