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AI赋能资产配置(三十六):更高、更快、更强!AI技术分析进化论
Guoxin Securities· 2026-01-28 15:01
Core Insights - The report emphasizes that the best practice model for technical analysis using large models is a combination of "rule-based prompt engineering and large model reasoning," delegating complex tasks to code [1] - The current technical analysis engine can automatically identify multi-level trends, with specific recommendations for the Shanghai Composite Index and semiconductor equipment [1][4] Group 1: Pain Points in Large Model Technical Analysis - Precision issues arise as large models can only capture general trends (upward, downward, sideways) but struggle with exact High/Low values [2][10] - Logical consistency is a challenge, particularly in complex spatial structures, where large models may fail to maintain cross-cycle logical coherence without prompt adjustments [2][12] - Context handling is limited by window constraints and a lack of sensitivity to numerical relationships, making it difficult for large models to perform accurate calculations [2][13] Group 2: Prompt Engineering as a Key Component - The report outlines a four-step process for effective prompt engineering, including building foundational information, formatting pen data, segment data, and central data [3][15] - It highlights the importance of initializing trading instances and creating a natural language mapping dictionary for various analysis components [3][15] Group 3: Technical Analysis Engine Capabilities - The technical analysis engine is designed to be faster, with real-time data sources and minimal analysis time (15-20 seconds) [3][23] - It supports multi-level automatic identification of trends and can analyze various asset classes, including A-shares, Hong Kong stocks, futures, and forex [3][24] Group 4: Analysis Cases and Results - The Shanghai Composite Index has shown a "three-buy" signal, indicating a potential buying opportunity, while semiconductor equipment is in a "three-buy observation zone" [4][34] - The report provides specific analysis for the Shanghai Composite Index and satellite ETFs, indicating short-term volatility but potential for upward movement [4][38][41]