Using the AR Price Momentum Ratio for Crypto Spot Trading

Summary

The article presents the AR ratio, which compares summed daily distances from the open to the high against distances from the open to the low over a rolling window. It interprets readings above or below 100 as signs of changing buying or selling pressure, and discusses higher and lower readings as possible overbought or oversold conditions. It gives indicative thresholds, while explicitly describing them as defaults that should be adjusted to market conditions.

A sample Python spot strategy applies the indicator to Bitcoin, buying when AR falls below one threshold and selling when it rises above another, subject to account balance and holdings checks. The article reports a favorable result for a one-month backtest, but provides no numerical performance statistics in the text and cautions that historical results do not predict future performance. It characterizes the standalone approach as vulnerable to exiting strong trends early or buying too soon during declines. Threshold choice is especially consequential in volatile crypto markets, where signals may be scarce or may leave capital underused. The sample also contains inconsistent threshold references, so its code and prose should be reconciled before replication.

Key ideas

• The AR ratio compares cumulative open-to-high movement with cumulative open-to-low movement over a chosen period.
• The article interprets values around 100 as a balance point for buying and selling pressure.
• Its example spot strategy buys at a low AR threshold and sells at a higher threshold.
• Thresholds are presented as adjustable heuristics rather than universal rules.
• A standalone AR strategy can exit trends early or enter falling markets prematurely.

Tags

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