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Pattern Recognition in Stock Prices

Identifying Current Price Pattern in Historical Data

Advanced Pattern Recognition Methods

Identify similar historical patterns in stock prices using advanced pattern recognition methods. This tool leverages Dynamic Time Warping (DTW), correlation analysis, and Principal Component Analysis (PCA) to find and compare past stock price patterns with current movements.

Customizable Days to Compare

Allows users to select various time periods (e.g., 15, 20, 30 days) to compare against the current stock price pattern and identify patterns over different time horizons.

Incorporation of Technical Indicators

Integrates various technical analysis indicators such as moving averages, momentum indicators, and volatility measures.

Key Features

  • Input Parameters: Enter the stock ticker, start date, and end date. Adjust the number of subsequent days to forecast, days to compare, and days prior to the similar series using the sidebar controls.
  • Select Method: Choose a pattern recognition method (DTW, Correlation, or TA-Enhanced DTW) from the sidebar.
  • Run Analysis: Click the “Run” button to perform the analysis and visualize the results.
  • View Results: The tool displays the identified patterns within the entire stock price data and reindexed price patterns for comparison.
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Pattern Recognition Tool Demo 2 Entreprenerdly
Pattern Recognition Tool Demo 1 Entreprenerdly

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