ma-dma-rules

To classify market states using moving averages, you need to feed daily close prices alongside six specific MA values (MA5, MA10, MA20, MA60, MA120, MA240) into a rule-based system that outputs a structured state history, interval starts, and cross events.

Moving average convergence is the alignment and spacing of multiple moving averages. You can track its state transitions by applying rule definitions to daily price data, which generates per-day records of long/short rankings, convergence stages, and crossing or touching events.

Yes, DMA rule definitions can be applied to both intraday and daily price data. The system processes the provided close prices and MA values to output current states, transition intervals, and event logs across different timeframes.

Calculating moving average state transitions requires a data series with daily close prices and six specific moving average values: MA5, MA10, MA20, MA60, MA120, and MA240. These inputs enable the system to identify long/short rankings and convergence stages.

To detect moving average cross and touch events in daily data, process your close prices and MA values through an automated rule interpretation system. This yields a structured per-day record logging each event alongside the current market state and interval start.