Bollinger Bands, Kaufman Efficiency Ratio Mean Reversion Strategy
Hourly NZDCAD mean reversion: fade closes outside Bollinger Bands(100, 2.5) when Kaufman Efficiency Ratio(5) > 0.7, delay 2 bars; exit at SMA 150 cross.
Published · Updated · Methodology: Technical Indicators
Part of: Moving Average Strategies
- Methodology: Technical Indicators
- Content type: strategy
- Timeframes: Hourly
- Markets: Forex, NZDCAD
Indicators used
- Bollinger Bands
- SMA
- Kaufman Efficiency Ratio (KER)
Source video
Decoded from: Developing a mean reversion strategy on a currency pair! Canadian Dollar vs New Zealand Dollar by Ali Casey | StatOasis — watch the original
Key timestamps:
- 0:00 - Introduction
- 0:40 - Market character: mean reverting vs. trending
- 1:30 - NZDCAD as a mean reverting pair
- 3:54 - What is Bollinger Bands
- 5:00 - Bollinger Band typical settings
- 5:20 - Bollinger Band entry/exit idea
- 6:00 - Building the strategy in StrategyQuant
- 6:20 - Long entry condition
- 7:00 - Exit condition
- 9:55 - Adding regime filter (Kaufman Efficiency Ratio)
- 12:21 - Delaying signals
Strategy overview
A moving average is simply price smoothed into a single reference line — and in this setup it never appears as a signal of its own. It works twice, quietly: once as the centerline that Bollinger Bands are built around, which is the level a mean reversion trade is implicitly betting price returns to, and once as a separate, slower average held back for the exit side rather than the entry. Alongside them sits the Kaufman Efficiency Ratio, a gauge of how much of a move's total travel actually went in one direction, used here to answer the question the averages cannot: is this market currently drifting or grinding sideways?
What separates this entry from other moving-average material is that the indicator is not where it starts. The chapter list from Ali Casey's StatOasis video spends its first three and a half minutes on market character — mean reverting versus trending — and on why NZDCAD qualifies as a candidate, before a single indicator is named at 3:54. The instrument is selected to fit the strategy family rather than the tools being applied to whatever chart happens to be open, which is close to the reverse of how most indicator videos are ordered. Only after that groundwork does the video define Bollinger Bands, walk through their typical settings, and sketch the entry and exit idea.
Honest notes on what this source does and does not contain: the strategy is filed on the hourly timeframe, but no historical window, backtest period or dataset is stated despite the development framing. The filed chapters stop at 5:20 with the entry/exit idea as the final marker, so anything after that point is not covered by timestamps, and the title's "Canadian Dollar vs New Zealand Dollar" is filed in the chapters as NZDCAD. No mechanical rules were decoded from this video, so this page covers the concept and the video's approach rather than a rule set.
Topics
bollinger bands strategy · kaufman efficiency ratio · mean reversion strategy · forex strategy · nzd cad trading strategy · hourly trading strategy · technical indicators · pine script · trading strategy · tradingview strategy · scalping strategy · nzdcad strategy
Frequently asked questions
What is a mean reversion strategy?
A mean reversion strategy assumes price tends to return to an average level after stretching away from it, so it looks to trade against extension rather than with it. It is the structural opposite of a breakout or trend-following approach, which is why identifying whether a market is ranging or trending comes first.
What role does a moving average play in a Bollinger Band strategy?
Bollinger Bands are constructed around a moving average, with the upper and lower bands placed a number of standard deviations away from it. The average is therefore the reference level the bands measure deviation from — and in a mean reversion context, the level price is expected to pull back toward.
What is the Kaufman Efficiency Ratio used for?
The Kaufman Efficiency Ratio compares how far price moved net-directionally against the total distance it actually travelled to get there. A high reading indicates a clean, efficient trend; a low reading indicates choppy, back-and-forth movement — which is why it is often used to separate conditions where mean reversion makes sense from those where it does not.
Does this page include the strategy's exact rules?
No mechanical rules were extracted from this source, so this page covers the concept, the indicators involved and how the video frames the approach rather than a specific rule set. Strategy Decoder catalogs strategies from video sources at whatever level of detail the source actually provides, and flags when rules could not be decoded.
About this strategy page
This trading strategy was decoded by Strategy Decoder's AI from a public YouTube trading video and turned into a structured, reviewable specification. In the interactive app this page shows the full entry and exit logic, risk management settings, the indicators involved with their parameters, AlgoWizard-compatible logic and a Pine Script export ready for TradingView backtesting — plus an automated backtest verdict when one has been computed for this strategy.
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Other versions of this strategy
- ADX, Moving Average Strategy — Cole Signals Pro
- RSI Trading Strategy — avatrade.com
- Range Oscillator, Advanced Moving Average Channel Strategy — TradeGenius
- Cumulative RSI Strategy — Quantified Strategies
- VOD Explosion, CM Ultimate MA MFT V4 Scalping Strategy — TradeGenius
- High Close Strategy, Moving Average Filter — Ali Casey | StatOasis