Mapping Weekly EMA Periods to Intraday Trend Signals

Summary

This document describes a multi-timeframe trend method that approximates weekly exponential moving averages with longer EMA periods on a lower-timeframe chart. It uses crossovers between the mapped 42- and 84-period averages to indicate a longer-term direction, and between the 84- and 182-period averages for a medium-term direction. A bullish crossover adds a long position, while a bearish crossover submits a short entry intended to act as an exit. The source also plots shorter daily-style averages and includes a configurable date window.

The supplied example uses BTC/USDT futures, three-hour bars, and fifteen-minute base data over about a month. No performance results are reported, and the sample code does not establish that the mapped averages produce the same signals as true weekly EMAs. Crossovers can lag, hold exposure for extended periods, or exit early; the described rules contain no stop loss and allow repeated entries. The document suggests testing periods by market, adding entry and exit filters, and managing position size, but provides no validation of those changes.

Key ideas

• Longer EMA periods on a lower-timeframe chart are used to approximate weekly trend filters.
• Crossovers of the mapped 42/84 and 84/182 averages define long and short direction changes.
• A bearish crossover submits a short order as the stated mechanism for exiting long exposure.
• The example is a short BTC/USDT futures configuration and contains no reported performance results.
• Lagging signals, extended exposure, and missing stop rules are material limitations.

Tags

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