技术分析系列：双维框架研究之动能驱动与风险管控

Investment Rating - The report maintains an "Overweight" investment rating for the financial products industry [1]. Core Insights - The report emphasizes the importance of momentum-driven technical analysis and risk management in the financial products sector, highlighting the dual framework of momentum and risk control [1][2]. Summary by Sections 1. Momentum-Driven Technical Analysis - The report discusses the momentum effect, indicating that assets generally exhibit a certain degree of trend persistence in the short term [13]. - Moving averages (MA) are defined as a key indicator for assessing momentum, helping to smooth price fluctuations and identify potential trends [14][15]. - The report categorizes moving averages into short-term, medium-term, and long-term, each serving different market analysis needs [16]. - The MACD (Moving Average Convergence Divergence) is introduced as a significant technical analysis tool, consisting of the DIF line, DEA line, and MACD histogram, which helps investors grasp market trends [25][26]. - The report also covers the JAX (Jian Line) indicator, which combines price and volume data to assess medium to long-term trends and trading opportunities [34][35]. 2. Risk Management - The report introduces the Risk Degree Indicator (TR), which evaluates the relative position of assets in terms of risk, considering both spatial and temporal dimensions [45]. - The TR indicator operates within a normal range of 0 to 100, with higher values indicating increased investment risk and lower values suggesting reduced risk [50]. - Statistical analysis shows that the TR indicator effectively identifies local tops and bottoms in the A-share market, with a 45.74% probability of local lows occurring when TR is below 20 [50][51]. 3. Risk Trend Model - The report outlines a risk trend model that incorporates both momentum and risk dimensions to score assets, aiding in the development of timing strategies [44][49]. - It emphasizes the need for dynamic adjustments in parameters based on market conditions to enhance the accuracy of the JAX indicator [41][42]. 4. Timing Strategies - The report suggests constructing timing strategies based on historical data, with a focus on both periodic and non-periodic models to improve predictive effectiveness [44][49].