Adaptive Fibonacci Pullback System -FibonacciFlux

Adaptive Fibonacci Pullback System -FibonacciFlux at a glance

Kind of rule	Betting on a snap-back (mean reversion)
Buys or sells	It can buy, and it can bet on falling prices.
Built on	ATR, EMA, Fibonacci, MACD, RSI, SMA, Supertrend, value when
Where it was published	TradingView, by its author, as a Pine Script strategy
Tested on	13 cells: 13 coins, October 2021 to June 2026, no fee
Trades placed	none
Page updated	2026-11-08

Adaptive Fibonacci Pullback System -FibonacciFlux backtest results, every cell

There is no cloud of cells to draw. The frame below says why.

How Adaptive Fibonacci Pullback System -FibonacciFlux works

Rules in this group usually work like this. It buys after a fall and sells after a rise, on the idea that price returns toward normal. The wins are usually small and frequent. The loss comes when price does not return and the stretch turns into a trend. 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, MACD, 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 the previous close crosses below the 21-period EMA of average supertrend and a long position is open.

Each trade uses 7.5 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 Enable Long Positions (on) and base long entry and RSI filter long ok and MACD filter long ok and volume filter ok and the close is above ((ama1 + ama2) / 2) and the number of open trades equals 0.
• Enters short when Enable Short Positions (on) and base short entry and RSI filter short ok and MACD filter short ok and volume filter ok and the close is below ((ama1 + ama2) / 2) and the number of open trades equals 0.
• Closes the position when the previous close crosses below the 21-period EMA of average supertrend and a long position is open.
• Closes the position when the previous close crosses above the 21-period EMA of average supertrend and a short position is open.
• Places a stop at long stop loss price, a target at long take profit price, a trailing stop when a long position is open.
• Places a stop at short stop loss price, a target at short take profit price, a trailing stop when a short position is open.

Buys or sells	It can buy, and it can bet on falling prices.
Tools it calculates	ATR, EMA, Fibonacci, MACD, RSI, SMA, Supertrend, value when
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 7.5 percent of the account.
Cost the author assumed	The author assumed a trading cost of 0.03 percent per side.

Default settings

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

Setting	Default	Group
Supertrend ATR Length	8	Supertrend Settings
Factor 1 (0.618)	0.618	Supertrend Settings
Factor 2 (1.618)	1.618	Supertrend Settings
Factor 3 (2.618)	2.618	Supertrend Settings
Supertrend Smoothing Length	21	Supertrend Settings
AMA Channel Length	55	AMA Channel Settings
--- Use MTF Filters? ---	on
Enable RSI Filter	on
RSI Timeframe	60
RSI Length	7
RSI Buy Threshold (>)	70
RSI Sell Threshold (<)	30
Enable MACD Filter	off
MACD Timeframe	1
MACD Fast Length	12
MACD Slow Length	26
MACD Signal Length	9
Enable Volume Filter	off
Volume Timeframe	1
Volume MA Lookback	20
Volume Multiplier (> Avg)	1.3
Enable Long Positions	on	Strategy Settings
Enable Short Positions	on	Strategy Settings
ATR Length for SL/TP	13

and 19 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.

Before any fee, it was tried on 13 cells, and it placed no trades.

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	13
Cells that placed a trade	0
Finished above zero	0

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

No cell took a trade, so there is no return to read. The rule above is the whole note.

What this does not show

The useful question is the stretch that never snapped back. That is where a year of small wins can disappear.

There is no cell to single out, and this note does not invent one. Other years, another exchange, or another fee would be a different measurement.

Questions about Adaptive Fibonacci Pullback System -FibonacciFlux

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 Adaptive Fibonacci Pullback System -FibonacciFlux 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
• Fibonacci retracement levels: where the ratios come from and what a backtest can say about them
• MACD: two EMAs, a signal line and a histogram, read correctly
• 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
• Supertrend: an ATR trailing line that flips with the trend

"Adaptive Fibonacci Pullback System -FibonacciFlux" 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.