中信证券研报称，当前特朗普政府正进行下任美联储主席的遴选，我们认为核心角逐在沃勒和哈塞特之 间。对特朗普而言，二者是"最适合"与"最听话"之间的比较。目前市场概率显示哈塞特领跑，但特朗普 对贝森特高度信任，建议关注呵护美联储独立性的贝森特主导面试可能带来的预期差。加之市场"用脚 投票"的先例和特朗普任命米兰担任理事时在参议院遇到的阻力，我们认为哈塞特难以当选、沃勒或将 最终胜出，且可能触发"美联储失去独立性"的反转交易：利多整体美元资产、利空黄金，市场或削减对 明年的降息预期。若哈塞特胜出，我们预计会触发市场面对"美联储失去独立性"的"肌肉记忆"：利空整 体美元资产、利多黄金，市场或上调对明年的降息预期。 ...

Group 1: Core Views - Recent leveraged funds continue to flow in, with the total margin trading balance exceeding 2 trillion this week. The market sentiment remains optimistic, but the increase in the ratio of margin trading to market capitalization is limited. The 2 trillion mark has stronger signaling meaning than practical meaning and may trigger reverse trading, weakening risk appetite [2]. - Seven departments including the central bank jointly issued the "Guiding Opinions on Financial Support for New - type Industrialization", creating credit demand for banks through monetary structured tools, supporting the manufacturing industry, and stimulating a rapid rebound in the banking sector [2]. - US employment data released last week plunged, increasing market bets on interest rate cuts. The US dollar index has continued to decline to around 98, and foreign capital has replenished A - share positions, supporting the sentiment in the mainland market after the A - share index correction [2]. - This week's total A - share trading volume slightly decreased compared to last week, with daily trading around 1.6 trillion. Most broad - based indices recovered last week's losses, with small - and medium - cap stocks remaining strong. The CSI 1000 rose more than 2%, and together with the CSI 2000 and micro - cap stock indices, reached new highs for the year. Large - cap broad - based indices rose slightly more than 1% this week [2]. - The downward support for basis has weakened, and the intraday structured divergence in trends among varieties has increased. The risk appetite shown in the futures market has declined, and there is a need to guard against the risk of a slowdown in the index's upward rate or even a continuous adjustment [2]. - As of Friday, the annualized basis of each variety was basically the same as last week, with the annualized discounts of IC and IM still around 10% and 11% respectively [2]. Group 2: Weekly Forecast - The model's judgment on the movement direction of the basis of IH, IF, IC, and IM next week is: strengthening, weakening, strengthening, and weakening respectively [4].

Group 1 - The core logic of reversal trading is based on extreme emotions acting as value inflection points, where market sentiment reaches extremes leading to significant price deviations from intrinsic value, creating "cognitive arbitrage opportunities" [1] - Reversal trading differs from trend-following strategies by capturing the return to consensus, as seen in instances like the violent rebound of oil futures after they fell to negative values in 2020 [1] Group 2 - The extreme emotion identification system includes quantitative indicators for buy and sell signals based on valuation metrics, such as PB below the historical 10th percentile for buying and PE above the historical 90th percentile for selling [2] - Additional signals include liquidity metrics, where a 60%+ reduction in financing balance and VIX above 40 indicate buying opportunities during extreme pessimism, while a daily turnover rate above 10% signals selling during extreme optimism [2] Group 3 - Confirmation tools for extreme emotions involve assessing whether valuations deviate from fundamentals, and if liquidity crises exist, which would trigger buying signals [3] - In the case of the Hong Kong stock market in October 2022, the Hang Seng Index had a PB of 0.8, indicating a 10-year low, combined with record net buying from the Stock Connect, confirming a reversal buy point [4] Group 4 - The golden window for reversal trading indicates that the speed of recovery from pessimism is greater than the dissolution of optimism, as evidenced by historical events like the tech bubble burst in 2000 [4] - Three types of reversal strategies are identified: long positions after extreme pessimism, short positions after extreme optimism, and specific patterns like emotional mispricing and cyclical stock rebounds [4][5] Group 5 - The characteristics of targets for reversal trading include industry leaders with stable free cash flow and high ROE, which may be indiscriminately sold due to macro risks [5] - High-risk strategies involve leveraging positions in companies facing downgrades and significant price drops due to forced liquidations, necessitating day trading to capitalize on panic selling [5][6] Group 6 - Risk control mechanisms include avoiding value traps, ensuring companies have a net debt ratio below 50%, and being cautious of market trends and liquidity issues [6][7] - The essence of reversal trading lies in identifying collective market errors at extreme moments, emphasizing the importance of rationality and discipline in decision-making [8]