TEMA Crossover Signals for Trend Following

Summary

This strategy compares two triple exponential moving averages (TEMA) calculated from closing prices. A crossover between the lines determines whether to enter long or short, with the stated configuration using lengths of 34 and 13. The document presents TEMA smoothing as a way to follow potential trend changes and describes automated entries when the lines cross. It also suggests that stop and target levels could be added, although the included source does not implement those exits.

The discussion flags familiar crossover limitations: lag, false signals from unsuitable parameters, missed sudden moves, and exposure to pullbacks. It recommends testing parameter combinations, adding filters or broader trend context, and designing exit rules, including dynamic stops. Backtest settings are provided for BTC/USDT futures over a brief period, but no performance evidence is supplied. The stated lengths are called fast and slow inconsistently in the prose, and the code's direction logic should be checked before reuse; neither the description nor the settings establish a reliable edge.

Key ideas

• The strategy generates directional entries from crossovers between two TEMA series computed from closing prices.
• The stated TEMA lengths are 34 and 13, though the document's fast and slow labels are inconsistent.
• The document identifies lag, false signals, abrupt events, and pullbacks as limitations of crossover methods.
• Suggested refinements include signal filters, broader trend analysis, parameter testing, and explicit exit rules.
• The published backtest configuration contains no reported results, and the code's crossover direction should be verified before use.

Tags

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