BTC — Smart Pullback Liquidity + Adaptive RSI

BTC — Smart Pullback Liquidity + Adaptive RSI at a glance

Kind of rule	Chart turning points (price action and market structure)
Buys or sells	It only buys. It does not bet on falling prices.
Built on	ADX / DMI, ATR, EMA, RSI, SMA, Standard deviation, bars since
Where it was published	TradingView, by its author, as a Pine Script strategy
Tested on	28 cells: 11 coins, October 2021 to June 2026, no fee
Cells that placed a trade	17 of 28
Middle result before fees	−0.0%
Cells above zero	8 of 17
Middle drawdown before fees	0.1%
Page updated	2026-11-08

BTC — Smart Pullback Liquidity + Adaptive RSI 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 BTC — Smart Pullback Liquidity + Adaptive RSI 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 only buys. It does not bet on falling prices. It acts only when several checks agree at once. It leans on ATR, DMI, EMA, RSI; 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 a long position is open and the close is below the 200-period EMA of the close.

Each trade uses 2 percent of the account. 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 trend ok and (not (Filtre ADX (on)) or ADX is above ADX minimum (17)) and volume ok and reclaim after sweep and the previous RSI z is below −1 and RSI z crosses above −0.35 and the close is above the previous close and the close is below (the 50-period EMA of the close + (the 14-period ATR × 1.5)).
• Keeps a target at (the average entry price + (the 14-period ATR × TP1 ATR (2.2))), a stop at (the average entry price − (the 14-period ATR × Stop ATR (1.8))) working while the position is open.
• Keeps a target at (the average entry price + (the 14-period ATR × TP2 ATR (4.5))), a stop at (the average entry price − (the 14-period ATR × Stop ATR (1.8))) working while the position is open.
• Closes the position when a long position is open and the close is below the 200-period EMA of the close.

Buys or sells	It only buys. It does not bet on falling prices.
Tools it calculates	ADX / DMI, ATR, EMA, RSI, SMA, Standard deviation, bars since
A second chart speed	Yes. It also looks at a second chart speed.
Only at certain hours	No.
Adding to a trade	It holds one trade at a time.
How much it trades	Each trade uses 2 percent of the account.
Cost the author assumed	The author assumed a trading cost of 0.05 percent per side.

Default settings

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

Setting	Default	Group
RSI longueur	14
Lookback creux liquidité	20
Réintégration max après sweep	5
EMA rapide	50
EMA lente	200
ATR longueur	14
Stop ATR	1.8
TP1 ATR	2.2
TP2 ATR	4.5
Filtre tendance Daily	on
Filtre ADX	on
ADX minimum	17
Filtre volume	on
SMA volume	50
Volume > SMA ×	1.05

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 28 cells. It placed a trade on 17 of them. 8 of the cells that traded finished above zero (47.1%).

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	28
Cells that placed a trade	17
Finished above zero	8 (47.1% of the cells that traded)
Middle result, before fees	−0.0%
Strongest cell, the top of the range	ADA 4-hour: +0.1%
Weakest cell, the bottom of the range	SOL 30-minute: −0.3%
Middle drawdown, before fees	0.1%

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 0.1%.

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 BTC — Smart Pullback Liquidity + Adaptive RSI

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 BTC — Smart Pullback Liquidity + Adaptive RSI uses

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

• ADX and the directional movement index: how strong the trend is, not which way
• ATR (average true range): the volatility number behind most stops
• Exponential moving average (EMA): what it measures and where it misleads
• RSI (relative strength index): the formula, the 70/30 rule, and why it misleads in trends
• Simple moving average (SMA): the plainest average, and why it still runs half the strategies
• Standard deviation in trading: the volatility measure inside Bollinger Bands and z-scores

"BTC — Smart Pullback Liquidity + Adaptive RSI" 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.