Hacktick
iOS app by Cornelius Linux. Finance · Cornelius Linux
- Store rating
- 0 / 5
- Store rating count
- 0
- Download price
- Free to download
- In-app purchases
- Unknown
- Version
- 1.0
- Listing last refreshed
- 2026-09-09
View the original store listing
Store description excerpt
Master the markets and sharpen your technical analysis with machine learning. Our app helps traders and analysts effortlessly discover, study, and visualize classic chart patterns across historical market data. By combining machine learning pattern recognition with official NASDAQ historical records, you can eliminate guesswork and backtest price formations with precision. Key Features: Intelligent Pattern Detection: Powered by machine learning algorithms designed to automatically detect and highlight key chart formations. Core Technical Patterns Supported: - Head and Shoulders - Inverse (Reverse) Head and Shoulders - Double Top - Double Bottom - Triangle - Rectangle Seamless NASDAQ CSV Import: Simply download historical data directly from the official NASDAQ website (via the historical data menu of your chosen stock) and import the CSV file into the app. Interactive Chart Visualizations: Clear, visual overlays that highlight exactly where patterns start, develop, and complete. Backtesting & Pattern Study: Ideal for educational analysis, strategy development, and understanding how historical patterns resolved under real market conditions. How It Works: - Visit the NASDAQ website and navigate to the Historical Quotes/Data tab for your selected stock. - Download the historical data as a CSV file. - Import the CSV file into the app. - Let the machine learning engine scan the price action and highlight verified chart patterns automatically. Whether you are a beginner learning classic chart geometry or an experienced trader backtesting rule-based strategies, this tool brings objective pattern recognition directly to your device. Disclaimer: This app is intended for educational and analytical purposes only. It does not provide financial or investment advice.
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