Applying Technical Indicators Across Multiple Timeframes

Summary

This example outlines a multi-timeframe analysis workflow for Bitcoin-dollar price data. It loads minute history over a stated date range, configures a transaction-rate assumption and a rolling analysis window, and assigns technical indicators to several labeled relationships between timeframes. The indicators listed include ATR, CCI, standard deviation, SMA, Aroon, Aroon oscillator, and balance of power.

The workflow then runs a base analysis, plots a slice of the resulting data with a Bollinger-width setting, and invokes analysis over minute and hourly intervals ranging from five minutes to four hours. This is a code demonstration, not a documented trading rule: it gives no chart interpretation, signal definitions, performance statistics, or discussion of whether the selected indicators generalize beyond the chosen instrument and sample period.

Key ideas

• The example loads minute-level Bitcoin-dollar history and sets a transaction-rate assumption.
• It configures several technical indicators with different labeled timeframe relationships.
• It visualizes a subset of the analysis and runs calculations over multiple minute and hourly intervals.
• No trading signals, out-of-sample validation, or performance evidence are provided.

Tags

From a private course collection; the original is not published.