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| # Dataset Card for Stock Graph Data |
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| Bullish and Bearish Stock Data Graphs |
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| ## Dataset Details |
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| ### Dataset Description |
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| This dataset can be valuable for: |
| - Training machine learning models to automatically identify market trends |
| - Educating finance students on pattern recognition |
| - Assisting traders in making informed decisions |
| - Conducting research on stock market behavior and trend analysis2 |
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| ## Uses |
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| Training machine learning models: The primary purpose is likely to train image classification models to automatically identify bullish vs bearish stock patterns. This could be used to develop automated trading algorithms or analysis tools. |
| Pattern recognition: The dataset allows models to learn visual features that distinguish upward vs downward price trends in stock charts. This trains the model to recognize key technical analysis patterns. |
| Backtesting strategies: By applying trained models to historical stock chart data, traders can backtest and evaluate potential trading strategies based on bullish/bearish pattern recognition. |
| Market sentiment analysis: Aggregating predictions across many stocks could provide insights into overall market sentiment and trends. |
| Educational purposes: The labeled dataset could be used to teach students and new traders how to visually identify bullish and bearish patterns in stock charts. |
| Benchmark dataset: It may serve as a standardized dataset for comparing different machine learning approaches to stock chart pattern recognition. |
| Feature extraction: Beyond binary classification, more advanced models could potentially extract specific features from the charts that correlate with bullish or bearish outcomes. --> |
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| ## Dataset Structure |
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| Data Structure |
| Image Data |
| Format: Likely PNG or JPEG images |
| Size: Possibly standardized (e.g., 150x150 pixels) |
| Channels: 3 (RGB) or 1 (grayscale) |
| Content: Candlestick charts representing stock price movements |
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| Labels: |
| Binary classification: 0 for bearish, 1 for bullish |
| Stored alongside corresponding images |
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| Dataset Splits: |
| Training set: Largest portion, used for model training |
| Validation set: Smaller portion, used for hyperparameter tuning |
| Test set: Held-out data for final model evaluation |
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| ### Source Data |
| yfinance open source API |
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