1. Report Industry Investment Rating - No information provided 2. Core Viewpoints of the Report - In January 2026, the domestic stock index futures market showed significant structural differentiation. The large - cap blue - chip futures were relatively resilient, while the small and medium - cap index futures generally declined. The market experienced a process from high - sentiment and high - volume trading at the beginning of the month to style switching and shock convergence under the influence of macro - data in the second half of the month. The market was affected by short - term economic data disturbances and high overall valuations. In the future, the market is expected to shift from emotional fluctuations to a fundamental verification stage, and market opportunities may be more in a structural form [6][34][35] - The decline in macro - data suppressed the overall risk appetite of the market, which was the direct catalyst for the style switching and the adjustment of small and medium - cap index futures. High valuations amplified market volatility, and more unexpected positive factors were needed to drive the market up [35] 3. Summary by Relevant Catalogs 3.1 Market Review - **Stock Index Futures**: In January, large - cap blue - chip futures were resilient, with the Shanghai 50 futures (IH) rising slightly monthly. Small and medium - cap index futures generally declined, with the CSI 500 futures (IC) and CSI 1000 futures (IM) having significant monthly declines. The specific data of the main futures contracts are as follows: the closing price of the CSI 300 futures (IF) on January 30 was 4,711.0, with a monthly increase of 0.04% (1.8); the closing price of the Shanghai 50 futures (IH) was 3,074.0, with a monthly increase of 1.19% (36.2); the closing price of the CSI 500 futures (IC) was 8,362.4, with a monthly decrease of 3.42% (- 295.8); the closing price of the CSI 1000 futures (IM) was 8,260.6, with a monthly decrease of 3.01% (- 256.0) [6] - **Bond Futures**: In January, all bond futures declined. The closing price of the 30 - year Treasury bond futures on January 30 was 111.920, with a monthly decrease of 0.33% (- 0.37); the closing price of the 10 - year Treasury bond futures was 108.310, with a monthly increase of 0.10% (0.110); the closing price of the 5 - year Treasury bond futures was 105.890, with a monthly decrease of 0.01% (- 0.015); the closing price of the 2 - year Treasury bond futures was 102.394, with a monthly decrease of 0.02% (- 0.022) [7] 3.2 Fundamental Analysis - In January, the manufacturing purchasing managers' index (PMI) was 49.3%, a decrease of 0.8 percentage points from the previous month, indicating a decline in the manufacturing prosperity level [8] - In January, the non - manufacturing business activity index was 49.4%, a decrease of 0.8 percentage points from the previous month [12] - In January, the composite PMI output index was 49.8%, a decrease of 0.9 percentage points from the previous month, indicating that the overall production and business activities of Chinese enterprises slowed down compared with the previous month [13] 3.3 Valuation Analysis - As of January 30, the PE of the CSI 300 index was 14.18 times, the percentile was 85.88%, and the PB was 1.49 times; the PE of the Shanghai 50 index was 11.72 times, the percentile was 85.1%, and the PB was 1.29 times; the PE of the CSI 500 index was 37.93 times, the percentile was 87.65%, and the PB was 2.61 times; the PE of the CSI 1000 index was 50.27 times, the percentile was 82.94%, and the PB was 2.68 times [15] 3.4 Other Data - **Stock - Bond Yield Spread**: The stock - bond yield spread is the difference between the stock market return rate and the Treasury bond yield rate. There are two formulas for calculating the stock - bond yield spread: one is based on the reciprocal of the price - earnings ratio, and the other is based on the dividend yield [27] - **China - Buffett Index**: On January 30, 2026, the ratio of the total market value to GDP was 91.71%. The current "total market value/GDP" percentile in historical data was 91.68%, and in the data of the past 10 years, it was 95.67% [31] 3.5 Comprehensive Analysis - Macro - economically, the macro - economic data released in January affected market sentiment. The decline of PMI indices in manufacturing, non - manufacturing, and the composite index below the critical point indicated a short - term slowdown in economic activities, which triggered market concerns about the fundamentals and led to a shift of funds from high - elasticity sectors to defensive sectors. However, there were positive differentiations in the data: the PMI of high - tech manufacturing remained in a high - prosperity range, and the raw material and ex - factory price indices rebounded, indicating possible marginal improvement in corporate profit expectations [34] - In terms of valuation, although the market adjusted, the valuation pressure of major indices was still obvious. The valuation percentiles of the CSI 300 index and the Shanghai 50 index were at relatively high historical levels, the valuation percentile of the CSI 500 index was close to the historical high, and the ratio of the total market value to GDP was also in a high - percentile range. High overall valuations made the market more sensitive to negative information and limited the space for further rapid valuation increase [34] 3.6 Operational Suggestions - **Unilateral Trading**: It is recommended to be cautious and wait and see. Before the macro - signals and valuation pressure are significantly improved, wait patiently for clearer stabilization signals and avoid blindly chasing up or bottom - fishing [36] - **Arbitrage**: Pay attention to the spread - convergence strategy of going long on IH and shorting IM. If the market's expectation of economic recovery turns moderate, the large - cap style with stable profits and relatively reasonable valuations may continue to show its defensive allocation value [36] - **Options**: For investors holding spot stocks, they can use the covered - call strategy to increase returns. At the same time, to prevent uncertain risks, they can consider buying an appropriate amount of out - of - the - money put options for downside protection [36]

Core Viewpoints - The article provides a comprehensive analysis of various futures markets, highlighting key products, market conditions, and potential trading opportunities across different sectors [2][3][4][5][6]. Group 1: Stock Index Futures - Key products include the Shanghai 50 futures (IH), CSI 300 futures (IF), CSI 500 futures (IC), and CSI 1000 futures (IM) [2]. - The market shows a "Good Curve Long" signal for IC and IM, indicating a strong bullish structure for small-cap indices, while IH and IF are in a "Maybe Curve Long" state, suggesting a more moderate outlook [2]. - The overall market is in a "Consolidation" phase, reflecting low volatility and unclear directional breakout [2]. Group 2: Government Bond Futures - Key products include 2-year (TS), 5-year (TF), 10-year (T), and 30-year (TL) government bond futures [3]. - All products exhibit a "Short" signal, indicating strong expectations for rising interest rates [3]. - The short-end bonds show negative rolling returns, reflecting concerns over tightening monetary policy, while long-end bonds are under pressure from inflation and fiscal policy [3]. Group 3: Precious Metals - Key products include gold (AU) and silver (AG) [4]. - Both metals are in a "Maybe Curve Short" state, but the market condition is "Long," indicating high prices with a bearish curve structure [4]. - The annualized rolling returns for gold and silver are negative, suggesting that prices are at historical highs and positions may be overly concentrated [4]. Group 4: Non-Ferrous Metals - Key products include copper (CU), aluminum (AL), zinc (ZN), nickel (NI), and tin (SN) [5]. - Copper and aluminum show no clear curve signals but are in a "Long" market state; zinc is "Maybe Curve Long," while nickel and tin are "Maybe Curve Short" [5]. - The rolling returns for copper and aluminum are negative, indicating strong fundamentals but high prices, while nickel and tin reflect concerns over oversupply [5]. Group 5: Black Metals - Key products include iron ore (I), rebar (RB), hot-rolled coil (HC), coke (J), and coking coal (JM) [5]. - Iron ore shows a "Good Curve Long" signal, while rebar and hot-rolled coil are in a "Maybe Curve Short" state [5]. - Iron ore's rolling return is high at 6.2%, indicating rebound potential, while demand weakness is reflected in negative returns for finished products [5]. Group 6: Energy and Chemicals - Key products include crude oil (SC), low-sulfur fuel oil (LU), fuel oil (FU), asphalt (BU), rubber (RU), plastic (L), and polypropylene (PP) [5]. - Crude oil and related products are in a "Curve Long" state, supported by geopolitical factors and OPEC+ production cuts [5]. - The rolling return for crude oil is positive, indicating an upward trend, while rubber and pulp show significant negative returns due to weak demand [5]. Group 7: Agricultural Products - Key products include soybean meal (M), soybean oil (Y), palm oil (P), rapeseed oil (OI), rapeseed meal (RM), corn (C), live hogs (LH), eggs (JD), white sugar (SR), and cotton (CF) [5]. - Soybean oil and palm oil are in a "Maybe Curve Long" state, while live hogs and eggs are in a "Curve Short" state [5]. - The rolling returns for oilseed products are positive, supported by biodiesel demand, while live hogs and eggs face pressure from oversupply [5].