Chart Analyzer
Chart Analyzer enhances the ASKNOEL framework by enabling the processing of image-based market data and integrating it with structured numerical and textual insights. By leveraging computer vision and Optical Character Recognition (OCR), this tool allows for technical analysis on chart screenshots, blockchain visualizations, and other graphical data representations, enabling more comprehensive insights.
Key Features
Chart Pattern Recognition β Detects technical patterns like candlestick formations, trend lines, moving averages, and resistance levels.
Blockchain Visualization Analysis β Extracts transaction flow data from blockchain explorer screenshots for deeper blockchain analysis.
Optical Character Recognition (OCR) β Reads and processes numerical and textual data from dashboards, reports, and graphical data.
Pattern Detection β Identifies key trading signals such as head-and-shoulders, double tops, flags, and more.
Cross-Modality Fusion β Combines visual insights from charts with API-based financial and on-chain metrics for a comprehensive analysis.
Technical Overview
The Chart Analyzer operates in three stages: image preprocessing, feature extraction, and AI-powered reasoning.
Preprocessing β Resizes images and reduces noise for optimal OCR and model detection, converting visual elements into structured datasets.
Feature Extraction β Utilizes CNN-based models (like YOLO, OpenCV) for pattern recognition, alongside Tesseract OCR or equivalent frameworks for extracting textual data.
AI-Powered Reasoning β Interprets extracted data using ASKNOELβs LLM-backed processing, combining it with insights from CoinGecko and CoinMarketCap API , on-chain metrics, and sentiment analysis tools.
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