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Time Series Is Everywhere—Here’s How to Actually Forecast It


by superorang... July 7th, 2025

Time series isn’t just about ARIMA models anymore. LSTM, GRU, and even Q-learning can forecast prices, detect faults, and outsmart classic baselines. This article dives into how—and why—you should care.

What’s the Deal with Time Series?

Time series data is everywhere: stock prices, temperature readings, website traffic, ECG signals—if it has a timestamp, it’s a time series.

Traditional statistical models like ARIMA or Exponential Smoothing get the job done for basic trends. But let’s be real—today’s data is noisy, nonlinear, and often spans multiple variables. That’s where machine learning (ML) and deep learning (DL) flex their muscles.

A Quick Look at Traditional Approaches

Method

Strengths

Weaknesses

ARIMA

Easy to interpret, good for linear trends

Struggles with non-linear patterns

Prophet

Easy to use, handles holidays/seasons

Not great with noisy multivariate data

But when you’re ...


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