A hands-on guide to AI-assisted stock decisions
go-stock's AI analytics enhance investment quality in three dimensions:
1. Basic analytical model
- Input stock code + "Fundamental Analysis" command to get visual trend charts of key indicators such as revenue/profit.
- Example instruction: "600519.SH ROE Change Over the Past Five Years and Peer Comparison"
2. Technical enhancement analysis
- Combined with real-time market data to generate technical indicators recommendations, such as: "Generate Moutai current MACD and Bollinger Bands analysis report"
- Support custom timeframe: "Analyze the reasons for Ningde Times' volume variance in the last 20 days"
3. Optimization of portfolio strategy
- Use the "Portfolio Risk Diagnostics" function after uploading the position list to identify hidden risks such as industry concentration.
- Comparative Analysis Instruction: "Simulate the risk-return change of switching 10% Moutai position to Tesla"
Caveats:
- Key commands need to be complete with stock code and time parameters
- Configure AI model parameters in settings before first use (recommended for GPT-4 level models and above)
- Sensitive operations are recommended to use the "Simulation Analysis" mode to verify the effect first
This answer comes from the articlego-stock: AI-enabled stock analysis tool, real-time monitoring of self-picked stock quotes and in-depth analysis based on AIThe
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