Price Momentum Trading with the AR Indicator in Crypto Spot Markets

Summary

The article explains the AR price-momentum indicator, calculated as the ratio of summed high-minus-open ranges to summed open-minus-low ranges over a lookback window. It interprets readings around 100 as a balance point: higher readings suggest stronger buying pressure, while lower readings suggest selling pressure. It describes elevated and depressed readings as possible overbought and oversold conditions, with example thresholds that are explicitly presented as adjustable heuristics.

A Python example applies the indicator to Bitcoin spot trading, using account balances to buy or sell part of available holdings when thresholds are crossed. The article reports a favorable result for a recent one-month backtest, but supplies no detailed performance statistics in the text. It cautions that backtests do not predict future results and that a standalone AR strategy can exit rising markets too early or buy into falling ones. Thresholds need adjustment by market, and the approach is described as more suitable for ranging conditions than persistent trends.

Key ideas

• AR compares the accumulated distance from open to high with the distance from open to low over a chosen window.
• The article treats values above or below a reference near 100 as clues about relative buying and selling pressure.
• Its example trades Bitcoin spot by buying or selling a portion of account holdings when thresholds are reached.
• The text reports a favorable one-month backtest but gives no detailed statistics to assess its robustness.
• The author warns that fixed thresholds can perform poorly during sustained trends and require tuning.

Tags

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