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Apple_Stock_Price_Trends_Classification

Apple_Stock_Price_Trends_Classification

active ARFF CC BY 4.0 Visibility: public Uploaded 25-12-2024 by Yayun Li
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# Apple Stock Price Trend Prediction Dataset (2014-2023) ## Dataset Overview Apple stock prices from years 2014 to 2023. This dataset can be used to predict price trend for next day based on technical indicators.

23 features

target (target)nominal3 unique values
0 missing
opennumeric2377 unique values
0 missing
highnumeric2368 unique values
0 missing
lownumeric2385 unique values
0 missing
closenumeric2368 unique values
0 missing
volumenumeric2508 unique values
0 missing
rsi_7numeric2510 unique values
0 missing
rsi_14numeric2510 unique values
0 missing
cci_7numeric2516 unique values
0 missing
cci_14numeric2516 unique values
0 missing
sma_50numeric2516 unique values
0 missing
ema_50numeric2516 unique values
0 missing
sma_100numeric2516 unique values
0 missing
ema_100numeric2516 unique values
0 missing
macdnumeric2516 unique values
0 missing
bollingernumeric2516 unique values
0 missing
truerangenumeric1975 unique values
0 missing
atr_7numeric2516 unique values
0 missing
atr_14numeric2516 unique values
0 missing
yearnumeric10 unique values
0 missing
monthnumeric12 unique values
0 missing
daynumeric31 unique values
0 missing
weekdaynumeric5 unique values
0 missing

19 properties

2516
Number of instances (rows) of the dataset.
23
Number of attributes (columns) of the dataset.
3
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
22
Number of numeric attributes.
1
Number of nominal attributes.
0.01
Number of attributes divided by the number of instances.
95.65
Percentage of numeric attributes.
37.8
Percentage of instances belonging to the most frequent class.
4.35
Percentage of nominal attributes.
951
Number of instances belonging to the most frequent class.
30.96
Percentage of instances belonging to the least frequent class.
779
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.35
Average class difference between consecutive instances.
0
Percentage of missing values.

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