WaveTrend Divergence Signals with ATR-Based Crypto Futures Risk Controls

Summary

This crypto futures strategy combines several oscillator and trend tools to generate long and short signals. Its indicators include WaveTrend, RSI with money-flow measures, Stochastic RSI, Schaff Trend Cycle, and divergence detection based on fractal swing points. The script exposes overbought and oversold levels and optional divergence controls; shorting and divergence use can be toggled.

For trade management, it derives stop distance from ATR and sets a target using a configurable risk-to-reward multiple. Signals can be sent as alerts for external execution, and plotted stop and target levels accompany entries. The source is a configurable indicator combination rather than a documented empirical study: the supplied material gives no backtest outcomes, markets, or timeframes that validate the signals. Alert integrations also require correct setup, and the excerpt alone does not establish how costs, leverage, or execution effects influence results.

Key ideas

• The strategy combines WaveTrend, RSI and money flow, Stochastic RSI, and Schaff Trend Cycle signals.
• Fractal swing comparisons are used to identify regular and hidden bullish or bearish divergences.
• ATR determines stop distance, and a configurable reward-to-risk multiple sets the target.
• Long and short entries can be enabled separately, and alerts can relay trade parameters to external services.
• The document provides no performance evidence, so the indicator combination requires independent testing.

Tags

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