🖱️System Architecture
SyncorAI is built on a scalable and modular architecture, consisting of the following components:
Data Ingestion: Market data from various sources, including trading platforms and data providers, is ingested into the system for analysis.
Preprocessing: Raw data undergoes preprocessing steps, including cleaning, normalization, and feature extraction, to prepare it for analysis.
Model Training: AI models, such as CNNs and LSTMs, are trained on historical market data to learn patterns and trends.
Analysis: Trained models are deployed to analyze real-time market data, generating insights and predictions.
Visualization: Analysis results are visualized through intuitive charts and graphs, providing traders with actionable insights.
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