Adaptive Momentum Reversion Strategy at a glance
| Kind of rule | Betting on a snap-back (mean reversion) |
|---|---|
| Buys or sells | It only buys. It does not bet on falling prices. |
| Built on | Bollinger Bands, SMA, Standard deviation |
| Where it was published | TradingView, by its author, as a Pine Script strategy |
| Tested on | 69 cells: 15 coins, October 2021 to June 2026, no fee |
| Cells that placed a trade | 67 of 69 |
| Middle result before fees | −0.3% |
| Cells above zero | 10 of 67 |
| Middle drawdown before fees | 0.5% |
| Page updated | 2026-11-08 |
Adaptive Momentum Reversion Strategy 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 Adaptive Momentum Reversion Strategy 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 only buys. It does not bet on falling prices. It buys when rate of change value crosses above Bollinger lower. It gets out when rate of change value crosses below Bollinger upper.
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 rate of change value crosses above Bollinger lower.
- Closes the position when rate of change value crosses below Bollinger upper.
| Buys or sells | It only buys. It does not bet on falling prices. |
|---|---|
| Tools it calculates | Bollinger Bands, SMA, Standard deviation |
| 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 a trading cost of 0.05 per contract. |
Default settings
The test used the defaults in the middle column. Nothing was turned to help a coin.
| Setting | Default | Group |
|---|---|---|
| ROC Period | 2 | |
| Lower Bollinger Band Length | 18 | |
| Lower Bollinger Band StdDev | 1.7 | |
| Upper Bollinger Band Length | 21 | |
| Upper Bollinger Band StdDev | 2.1 |
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 69 cells. It placed a trade on 67 of them. 10 of the cells that traded finished above zero (14.9%).
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.
Before fees, it sat 21st on a list sorted by average net return. That list charges no fee.
| Cells tried | 69 |
|---|---|
| Cells that placed a trade | 67 |
| Finished above zero | 10 (14.9% of the cells that traded) |
| Middle result, before fees | −0.3% |
| Strongest cell, the top of the range | BTC hourly: +248.1% |
| Weakest cell, the bottom of the range | ETH 15-minute: −6.0% |
| Middle drawdown, before fees | 0.5% |
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 0.5%.
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.
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 Adaptive Momentum Reversion Strategy
What is Adaptive Momentum Reversion Strategy?
Adaptive Momentum Reversion Strategy is a mean reversion trading strategy published on TradingView as a Pine Script. In plain terms it is a rule of the kind this site calls betting on a snap-back. It only buys. It does not bet on falling prices. It is built on Bollinger Bands, SMA, Standard deviation. This page reads the rules from the code and reports what they did on old crypto prices.
How does Adaptive Momentum Reversion Strategy work?
It only buys. It does not bet on falling prices. It buys when rate of change value crosses above Bollinger lower. It gets out when rate of change value crosses below Bollinger upper.
Is Adaptive Momentum Reversion Strategy profitable in a backtest?
Before any fee, 10 of 67 cells that traded finished above zero, and the median of those cells was −0.3%. 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 Adaptive Momentum Reversion Strategy 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 Adaptive Momentum Reversion Strategy uses
Each has its own page: what it measures, how it is read, where it misleads.
- Bollinger Bands: a moving average with two standard deviations on each side
- 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
"Adaptive Momentum Reversion Strategy" 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.