Classifying Crypto Market Regimes with Short- and Long-Period Highs and Lows
Summary
This Bitcoin market-timing method classifies conditions as strong or mild bull, strong or mild bear, or neutral (“monkey”) by comparing recent highs and lows across two timeframes. It uses a five-day window of daily bars and a ten-bar window of 30-minute bars, excluding the current bar. When the short-term range clears the longer-term high or low, the method labels the regime as strongly directional; partial breaks produce mild bull or bear states, and no break is treated as neutral. The article suggests adjusting exposure as the classification changes.
The document also discusses moving-average slopes, Bollinger Bands, and volume or order-book depth as possible timing inputs, though the two-timeframe range comparison is its main method. It reports that selected regime changes aligned with examples in a chart over a 2019 period, but provides no systematic performance statistics or robust validation. Applying the labels to position changes therefore requires separate testing, and the suggested cross-asset hedging idea is presented as future work rather than demonstrated arbitrage.
Key ideas
- The method classifies market regimes by comparing short-term highs and lows with a longer-term range.
- It uses five daily bars and ten 30-minute bars, excluding the current bar from both windows.
- Full range breaks indicate stronger regimes, partial breaks indicate milder regimes, and no break indicates a neutral state.
- The article proposes changing exposure as regimes shift and mentions moving averages, Bollinger Bands, and volume as additional timing inputs.
- Its examples are visual and limited; the document gives no systematic performance results.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.