Data
Apple_Stock_Price_Trends_(2014-2023)

Apple_Stock_Price_Trends_(2014-2023)

active ARFF CC BY 4.0 Visibility: public Uploaded 22-11-2024 by Anna Wiewer
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This dataset contains Apple stock prices from 2014 to 2023, along with various technical indicators. It can be used for multi-class classification to predict the price trend for the next day based on these indicators. Target Variable: Price trend for the next day: - bullish (2): If price increases by more than 0.5% - neutral (1): If price movement stays within -0.5% to +0.5% range - bearish (0): If price falls by more than 0.5% Technical Indicators: - SMA: Simple Moving Average. Aids in determining if an asset price will continue or reverse a trend. - EMA: Exponential Moving Average. Places more weight on recent data points. - RSI: Relative Strength Index. Evaluates overvalued or undervalued conditions. - Bollinger Bands: Indicates oversold or overbought conditions. - MACD: Moving Average Convergence Divergence. Shows the relationship between two exponential moving averages. - CCI: Commodity Channel Index. Measures the difference between the current price and the average price. - ATR: Average True Range. Measures market volatility.

19 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
target_numeric (ignore)numeric3 unique values
0 missing

19 properties

2516
Number of instances (rows) of the dataset.
19
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.
18
Number of numeric attributes.
1
Number of nominal attributes.
0.01
Number of attributes divided by the number of instances.
94.74
Percentage of numeric attributes.
37.8
Percentage of instances belonging to the most frequent class.
5.26
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.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: target
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