(2026-03-25)：麦高视野--ETF观察日志

• The report introduces the RSI (Relative Strength Index) as a factor, which is calculated using the formula: $ RSI = 100 - \frac{100}{1 + RS} $ where RS represents the ratio of the average gain to the average loss over a 12-day period. RSI values above 70 indicate an overbought market, while values below 30 indicate an oversold market[2] - The report also calculates Net Purchase (NETBUY) as a factor, using the formula: $ NETBUY(T) = NAV(T) - NAV(T-1) \times (1 + R(T)) $ where NETBUY(T) is the net purchase amount, NAV(T-1) is the ETF's net asset value from the previous trading day, and R(T) is the return on the current day[2] - The report tracks ETF performance metrics such as daily price changes, RSI values, net purchases, and trading volumes for various ETFs, categorized into "broad-based" and "thematic" indices. Examples include ETFs tracking indices like CSI 300, CSI 500, and sector-specific indices such as non-bank financials and dividends[2][4] - The report provides detailed RSI values for various ETFs, such as: - CSI 300 ETFs: RSI values range from 40.03 to 41.72 - CSI 500 ETFs: RSI values range from 38.32 to 40.20 - CSI 1000 ETFs: RSI values range from 39.63 to 40.21 - Thematic ETFs (e.g., Semiconductor, Renewable Energy): RSI values range from 30.34 to 52.96[4][6] - The report evaluates net purchase amounts for ETFs, with examples including: - CSI 300 ETFs: Net purchases range from -20.87 billion to 1.15 billion - CSI 500 ETFs: Net purchases range from -4.85 billion to 1.01 billion - CSI 1000 ETFs: Net purchases range from -12.83 billion to 0.02 billion - Thematic ETFs: Net purchases range from -16.49 billion to 62.07 billion[4][6] - The report highlights trading volumes for ETFs, with examples including: - CSI 300 ETFs: Trading volumes range from 0.29 billion to 39.32 billion - CSI 500 ETFs: Trading volumes range from 1.03 billion to 45.84 billion - CSI 1000 ETFs: Trading volumes range from 0.35 billion to 35.07 billion - Thematic ETFs: Trading volumes range from 0.04 billion to 75.07 billion[4][6] - The report provides qualitative evaluations of the RSI and NETBUY factors, noting their utility in identifying overbought/oversold conditions and tracking fund flows, respectively[2]