Adaptive ATR Using Session Ranges and Sampled Price Windows

Summary

This indicator describes three ways to measure price movement over a timeframe-adjusted evaluation period. For intraday charts, it estimates the period from the trading session; for daily charts, it uses weekly data. The period length is calculated from the selected timeframe, optional multipliers, and a market opening hour, with a minimum of one bar.

The outputs are a high-to-low range based on opens and closes, an average range adjusted by a standard deviation term, and a sampled ATR that averages ATR readings from three portions of the evaluation window. The document provides implementation logic and default parameter examples, but no backtest or comparison showing that these measures are more accurate than conventional ATR. Daily is the highest supported timeframe, and the period calculation depends on the configured session start and chart data. The indicator is presented as a volatility measurement tool, not as a complete entry, exit, or risk management system.

Key ideas

• The indicator adjusts its evaluation period using the chart timeframe and configured market opening hour.
• It reports a session or weekly price range, a standard deviation adjusted average range, and a sampled ATR.
• The sampled ATR combines readings from three sections of the evaluation window.
• The document gives implementation details but no empirical evidence that the indicator improves trading decisions.

Tags

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