Arima Trend

ARIMA consists of analyzing the behavior of financial time series and estimating their probable future direction.

This system is based on two econometric models widely used in quantitative finance: ARIMA and GARCH. ARIMA is used to identify directional tendencies in price movements, while GARCH is employed to estimate expected market volatility.

Drawing on academic studies in Statistics and quantitative analysis, the methodology combines mathematical modeling with statistical interpretation of financial data to support decision-making in the market.

There are no easy promises, magic indicators, or guarantees of results. The approach follows the principles used by quantitative analysts and market researchers: measuring market behavior through statistical methods and identifying recurring patterns in financial time series.

The indicator was designed to assist traders and investors by providing objective, data-driven insights based on econometric models rather than subjective market opinions.

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