EMA Crossovers with RVI, Random Signals, and Fixed Risk Rules

Summary

This proposed system combines a fast and slow exponential moving average crossover with a Relative Volatility Index (RVI) sign check. Long signals require the shorter EMA to cross above the longer EMA while RVI is positive; short signals require the reverse crossover while RVI is negative. A simulated AI-like signal is also included as a direction filter, alongside a fixed allocation per trade and percentage-based stop and target settings.

The document describes a BTC/USDT futures backtest over one month but supplies no performance figures. The source uses a random signal, so its decisions are not based on a trained or validated predictive model. It also passes stop and limit values to entry orders, while the accompanying description presents these as risk exits; the code does not clearly implement separate stop-loss and take-profit exits. EMA crossovers can whipsaw in sideways markets, and fixed risk levels may not fit every volatility regime. The material therefore outlines components rather than providing evidence that the combined system is effective.

Key ideas

• The entry rules combine EMA crossovers with the sign of an RVI-like measure.
• A random directional signal is included as an additional entry condition.
• The description specifies fixed trade allocation and percentage stop and target levels.
• The source does not use a trained predictive model, and its order handling does not clearly implement separate exits.
• A one-month BTC/USDT futures test is specified without reported results.

Tags

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