TOOL USED
R
MICROSOFT AZURE
MICROSOFT EXCEL
SUMMARY
The Dataset is time series data of crypto currency consisting of of 1869 observation and 21 features(each feature showing different crypto currency). Frequency of the observations is 5 min showing from date 18/01/18 to 24/01/18.
BUSINESS UNDERSTANDING
As the data belongs to the crypto exchange. Intraday short-term data infers to the short-term speculation objective of the prediction model.
Predicting the 5 min data for particular observations in continuous time format.
DATA UNDERSTANDING
Each observation (21) in the dataset is closing value of respective observation along with timestamp. Columns are numerical values.
DATA PREPERATION
There were lot many observations missing in the dataset. We built regression model to impute those values.
MODELING
Plot, examine, and prepare series for modeling
Extract the seasonality component from the time series
Test for stationarity and apply appropriate transformations
Choose the order of an ARIMA model
Forecast the series
3 thoughts on “CRYPTO CURRENCY PREDICTION”
Correct me if I am wrong, but there is no code or output, nor any links to any of these.
this must be a mistake – probably somebody from the jury has voted thinking that the best score is represented by the highest number
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