In the era of information explosion, investors often face the dilemma of information overload and difficulty in identifying key information. Ordinary investors, due to the lack of efficient tools and systematic analysis, are prone to make misjudgments and miss market opportunities. To address this pain point, the G4 system has introduced an intelligent target recommendation system to help users quickly capture core opportunities in complex markets.
Core Values and Functions
Multi market coverage, carefully selected high-quality assets
The system selects four high potential targets daily from major markets such as stocks, cryptocurrencies, commodities, and foreign exchange, taking into account factors such as technical aspects, capital flow, and news popularity. The cross asset comparison mechanism effectively avoids “market blind spots” and prevents users from missing potential opportunities.
Focus on short-term momentum and trend resonance
The system focuses on identifying assets that resonate with short-term strong market trends and medium-term trends, which are both explosive and sustainable targets. Provide recommendations on buying range and holding period to help investors reduce blind pursuit of high risks and improve operational efficiency.
Reduce screening costs and improve execution efficiency
Users no longer need to frequently monitor the market or chase hot topics. The system will push the four most noteworthy assets every day with clear judgment criteria, greatly saving analysis and decision-making time, especially suitable for busy or part-time traders.
Provide executable strategic solutions
Each target is equipped with:
Recommended buying range
Suggested Position Ratio
Expected return and risk range
Ensure that users not only know ‘what to buy’, but also have a clearer understanding of ‘how to buy and manage’.
Real time verification with traceable results
All recommendations of the G4 system have undergone historical data backtesting and real-time tracking, with an average monthly real-time revenue of 48.58%. All strategies have data records, and users can freely review and adjust them to ensure transparent, verifiable, and non empty promises of recommendation results.