How to Simply Understand the Red Ant AI Strategy System

Regarding the Red Ant strategy, it is a fully intelligent AI technology with a response time of 0.8 milliseconds. It is not a traditional fixed grid or Martingale strategy. The Red Ant strategy combines big data from the entire internet, including AI strategy matrix, AI autonomous learning, and strategy iteration: Monitoring dimensions: covering data from over 200 exchanges, on-chain indicators, market sentiment, mean reversion, trend tracking, volatility arbitrage, capital inflow and outflow data, public opinion data, panic indicators, and a series of various data for dynamic strategy elasticity switching, to determine how much proportion of your funds to buy, how many points to drop, when to enter, and when to sell. Custodial services are worry-free and labor-saving: 7×24 hours of intelligent monitoring, no need for frequent operations • Annualized returns between 40-100%. Everything is fully automated. Traditional strategies on platforms like 'Okex or Binance' such as grid strategies and Martingale strategies are fixed, meaning that traditional strategies specify how much capital to enter at a fixed retracement. The Red Ant strategy is fully intelligent; you will find the robot is irregular and completely flexible, yet always profitable. This is the secret weapon of Red Ant. Many people are concerned about the underlying logic of this strategy. Simply put, everyone is here to make money, and the focus should be on whether this strategy system can be profitable, under the premise of absolute safety of funds. Is it necessary to understand if there are other purposes behind the underlying logic of this strategy? It's like knowing that a car is easy to drive; asking how the car is made and how the engine is made is meaningless. The quantitative team will also not disclose their secret weapons.