Features
AI-powered hot topic news analysis
Financial and equity AI analysis
Support for A-shares, Hong Kong stocks, US stocks
Market-wide and individual stock sentiment analysis
AI-assisted stock selection
Local data storage for privacy
Integration with multiple AI backends (DeepSeek, OpenAI, Ollama, etc.)
Customizable alert thresholds
High-fidelity synthetic data generation via TabularARGN
Agentic data science automation for training/sampling
Natural language AI Assistant executing Python code
Mock data generation for safe experimentation and testing
Simulated data for edge-case and what-if modeling
Multi-table synthesis with referential integrity
Time-series support and data rebalancing
Differential privacy with temperature control
Deployment on Kubernetes or Red Hat OpenShift
Open-source Synthetic Data SDK under Apache v2 license
Data connectors for Databricks, AWS, Snowflake, BigQuery
Real-time data access from production systems (e.g., Databricks)
Star schema and nested sequences support
REST API and Python Client for programmatic access
Conditional simulation and seeded generation
