elliott-wave-engine

Elliott Wave analysis identifies market cycles from time-series price data by detecting swing points and classifying impulse patterns. This engine processes high and low prices to output the current wave state and structured wave counts for stocks, forex, and crypto.

Yes, Elliott Wave forecasting supports crypto and forex markets. The engine analyzes time-series price data across equities, forex, and crypto to validate impulse patterns and generate wave counts regardless of the specific asset class.

Fibonacci projections for wave targets are calculated by the engine after it detects swing points and classifies impulse patterns. It applies Fibonacci projections to time-series price data, outputting structured projected target prices.

Detecting impulse patterns in a time series is done by running the engine's static swing detection methods on high and low price data. It validates impulse classification and outputs the current Elliott Wave state.

Elliott Wave counting requires a time-series price series containing high and low prices. The engine uses these swing points to identify wave structures and output the current count and projected targets.