Moving Average Trend Entries with Staged Pyramiding

Summary

This strategy uses moving averages with periods of 9, 100, and 200 days to seek long entries during an emerging trend. It enters when price crosses above the fast average while that average is above the medium average and the medium average is below the long average. If the condition recurs, the strategy can add entries in stages, up to seven open trades. Each entry receives a fixed percentage profit target and loss limit. A BTC/USDT futures test configuration is provided, but the document includes no performance results, so it does not demonstrate the claimed growth or risk-reward benefits.

The document presents staged entries as a way to build exposure as a trend develops and identifies reversals and excessive position size as risks. It recommends testing different average periods, stage counts, and exit settings. There are inconsistencies between its description and the source: the prose describes moving-average crossovers and both long and short behavior, while the entry condition shown is a price crossover and opens long positions only. The source also permits seven entries, despite prose that says to stop adding after six positions. These differences make careful implementation review important.

Key ideas

• A long signal occurs when price crosses above the fast average while specified relationships among the three averages hold.
• Repeated qualifying signals can add staged entries, with the source permitting up to seven open trades.
• Each entry has a fixed percentage profit target and loss limit.
• The source logic shown is long-only and does not fully match the prose description of crossovers and short behavior.
• The published BTC/USDT futures setup has no reported performance results.

Tags

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