1. Data collection and processing:
Collect multi-source data such as historical price data, market trends, macroeconomic indicators, etc., and clean and pre-process them to ensure data quality.
Our AI model conducts accurate market analysis and predictions through the following steps to help investors better grasp investment opportunities.
Collect multi-source data such as historical price data, market trends, macroeconomic indicators, etc., and clean and pre-process them to ensure data quality.
technical indicators, statistical features, and time features from raw data to help the model understand the current state and historical patterns of the market.
By analyzing patterns and trends in the data, we can generate predictions of future price fluctuations, including specific price points, fluctuation ranges and time periods.
Assess potential market risks, provide corresponding risk management suggestions, and optimize investment strategies to maximize investment returns.
Assess potential market risks, provide corresponding risk management suggestions, and optimize investment strategies to maximize investment returns.