Multi-Indicator Confluence with Signal Counting and Risk-Based Sizing

Summary

This trading framework combines moving-average crosses, RSI extremes, MACD crosses, and Bollinger Band touches. It counts bullish and bearish signals and opens a position when one side reaches a threshold and outnumbers the opposing signals. The described risk controls include sizing positions from a chosen risk budget and stop distance, a maximum position limit, percentage-based stops, and closing on an opposing signal. The document also describes a signal display and performance metrics, but provides no complete backtest results or evidence that the method is profitable.

The approach aims to filter isolated indicator signals, at the cost of potentially later entries. Its many configurable indicators and parameters create overfitting risk, and ranging markets may produce repeated false signals. The stated fixed-percentage stop may not adapt to changing volatility. Dynamic signal weights, market regime filters, volatility-based stops, and machine learning are presented as possible extensions, not tested findings. As supplied, the material is a strategy outline rather than a demonstrated evaluation.

Key ideas

• The system combines moving-average, RSI, MACD, and Bollinger Band signals.
• It enters when one direction reaches a minimum signal count and exceeds opposing signals.
• Position size is described as a function of risk budget and stop distance, with a maximum cap.
• Opposite-direction signals can close an existing position.
• Multiple indicators may delay entries and increase overfitting risk, while no complete performance results are given.

Tags

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