new chartview class, updated db locations
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@ -86,7 +86,7 @@ class BitcoinTrendAnalysis:
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ax.legend()
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ax.legend()
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ax.grid(True)
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ax.grid(True)
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engine = create_engine('sqlite:///bitcoin_trends.db')
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engine = create_engine('sqlite:///databases/bitcoin_trends.db')
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Base.metadata.create_all(engine)
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Base.metadata.create_all(engine)
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Session = sessionmaker(bind=engine)
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Session = sessionmaker(bind=engine)
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@ -35,7 +35,7 @@ if __name__ == "__main__":
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analyzer = ArticleAnalyzer()
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analyzer = ArticleAnalyzer()
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engine = create_engine('sqlite:///article_analysis.db')
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engine = create_engine('sqlite:///databases/article_analysis.db')
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Session = sessionmaker(bind=engine)
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Session = sessionmaker(bind=engine)
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session = Session()
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session = Session()
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@ -1,6 +1,6 @@
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from bitcoin_trend_analysis import BitcoinTrendAnalysis
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from bitcoin_trend_analysis import BitcoinTrendAnalysis
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if __name__ == "__main__":
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if __name__ == "__main__":
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ma = BitcoinTrendAnalysis(db_path='bitcoin_historical_data.db')
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ma = BitcoinTrendAnalysis(db_path='databases/bitcoin_historical_data.db')
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ma.load_data()
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ma.load_data()
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ma.analyze_trends_peaks(distance=1, prominence_factor=0.1)
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ma.analyze_trends_peaks(distance=1, prominence_factor=0.1)
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@ -4,7 +4,7 @@ from sklearn.metrics import confusion_matrix
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if __name__ == "__main__":
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if __name__ == "__main__":
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model = load_model('models/model_2025-01-21_04-49-43.h5')
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model = load_model('models/model_2025-01-21_04-49-43.h5')
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predictor = BitcoinPricePredictor(model=model, db_path='bitcoin_historical_data.db')
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predictor = BitcoinPricePredictor(model=model, db_path='databases/bitcoin_historical_data.db')
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missing_data = predictor.load_new_data_from_model()
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missing_data = predictor.load_new_data_from_model()
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@ -2,7 +2,7 @@ import sqlite3
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from datetime import datetime
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from datetime import datetime
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# Specify the database file path
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# Specify the database file path
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db_path = 'bitcoin_historical_data.db'
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db_path = 'databases/bitcoin_historical_data.db'
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# Create a connection to the database
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# Create a connection to the database
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connection = sqlite3.connect(db_path)
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connection = sqlite3.connect(db_path)
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