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Apple_Stock_Price_Trends_Classification

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OpenML2024-11-23 更新2025-12-20 收录
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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. ## Target Variable Description Price trend for next day - Multi Class Classification: - bullish : If price increases more than 0.5% - neutral : If price movement stay within -0.5% to +0.5% range - bearish : If price fall more than 0.5% ## Technical Indicators Included 1. SMA (Simple Moving Average): - Aid in determining if an asset price will continue or if it will reverse a bull or bear trend. 2. EMA (Exponential Moving Average): - Shows how the price of an asset or security changes over a certain period of time. - The EMA is different from a simple moving average in that it places more weight on recent data points. 3. RSI (Relative Strength Index): - RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. 4. Bollinger Bands: - Generate oversold or overbought signals. 5. MACD (Moving Average Convergence Divergence): - A trend-following momentum indicator that shows the relationship between two exponential moving averages. 6. CCI (Commodity Channel Index): - A technical indicator that measures the difference between the current price and the historical average price. 7. TR (True Range): - Measures the daily range plus any gap from the closing price of the preceding day. 8. ATR (Average True Range): - Average of true ranges over the specified period. - ATR measures volatility, taking into account any gaps in the price movement.
创建时间:
2024-11-23
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