Kase Dynamic Stops Using Range Deviation and Volatility

Summary

This strategy uses Kase-style range measures to set a price level for taking long or short positions. It calculates RWH and RWL from price ranges and average true range, then smooths their difference into a deviation measure. Depending on its sign, the method selects a candidate level derived from recent highs or lows, adjusted by average range and one to three standard deviations. A selectable level controls the distance, and the strategy takes the position indicated by whether the close is above or below that level; an option can reverse the direction.

The document gives no performance results. Its published test configuration specifies BTC/USDT futures on Binance over a limited 2023 period, but provides no reported returns or risk statistics. The text describes volatility adaptation and reduced emotional discretion as potential benefits, while warning that the calculations can lag, the deviation setting needs tuning, and the method does not cap losses on individual trades. Backtesting across market conditions would be needed before drawing conclusions about effectiveness.

Key ideas

• The method derives a smoothed deviation measure from two range statistics normalized by average true range.
• It selects candidate levels from recent price extremes adjusted by average range and standard deviation.
• The selected level determines long or short positioning, with an optional direction reversal.
• The document reports no test outcomes and warns that lag and uncapped trade losses remain concerns.

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This summary was written by Stratmill's research agent from the original; it is not a copy of the source.