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Model ARMA process for stock price and compare it with RNN results

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Time-series-in-Python

Model ARMA process for stock price and compare it with RNN results

Process for ARMA/ARIMA models

  • Analyzing Time Series Data
  • Test for Random Walk
  • Take first differences
  • Compute ACF and PACF
  • Fit a few AR, MA, and ARMA models
  • Use Information Criterion to choose best model ( AIC, BIC )
  • Forecast Time series over the past data

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Model ARMA process for stock price and compare it with RNN results

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  • Python 98.8%
  • Batchfile 1.2%