Traditional financial radar tools often have limitations: scattered data, lack of historical traceability, difficulty in fully revealing fund flows and main intentions, and limited practical reference value. The intelligent whale motion system equipped on the G4 system is designed to solve this pain point.
Core functions and values
Real time monitoring of large fund movements
The system can capture abnormal large transactions occurring in the market or on the chain with second level accuracy (i.e. “whale operations”), and automatically identify relevant accounts and address tags (funds, exchanges, large investor wallets, etc.).
Support historical data backtracking and export
Users can filter by time period, transaction type, and underlying asset, and export up to one year of trading data for easy review research, strategy backtesting, and writing professional analysis reports.
Institutional and Celebrity Account Tracking
The system can analyze the historical buying and selling paths of well-known institutions or market “big Vs”, quantify their pace of opening and reducing positions and changes in positions, and provide investors with reference for follow-up or hedging strategies.
Analysis of Capital Flow Graph and Main Intentions
By drawing a trend chart of net inflows/outflows of funds, combined with price fluctuations, the system helps users identify the periodic top or bottom of the market and form multidimensional cross validation signals.
Strategy level warning prompt
Users can customize the threshold (such as a single transaction exceeding xxx million US dollars), and the system will issue strategy recommendations at the beginning of whale movements to ensure that investors can grasp the market trend in a timely manner.
Cross market compatibility
The G4 intelligent whale motion system not only supports data on the cryptocurrency chain, but also is suitable for tracking large orders in traditional markets such as the US stock market and futures. It provides API interfaces and visual dashboards to meet the different needs of individual investors, institutional researchers, and quantitative teams.