多头

Search documents
美国CFTC:黄金看涨情绪创13个月新低
news flash· 2025-04-11 19:36
转而持有NYMEX铂金净空头头寸3,120手合约,创大约13个月新高。 美国商品期货交易委员会(CFTC):4月8日当周,投机者所持COMEX黄金净多头头寸下降38,088手合 约,至138,465手合约,创13个月新低。 所持COMEX白银净多头头寸降低至21,931手合约,创14周新低。 所持COMEX铜净多头头寸降至14,101手合约,创四周新低。 所持NYMEX钯金净空头头寸增加至13,436手合约,创最近逾七个月新高。 ...
CFTC:4月8日当周投机者所持COMEX黄金净多头头寸下降38,088手合约至138,465手合约
news flash· 2025-04-11 19:35
CFTC:4月8日当周投机者所持COMEX黄金净多头头寸下降38,088手合约至138,465手合约 智通财经4月12日电,美国商品期货交易委员会(CFTC)数据显示,4月8日当周,投机者所持WTI原油 净多头头寸下降25,159手合约,至69,463手合约,创六周新低。投机者所持COMEX黄金净多头头寸下 降38,088手合约,至138,465手合约,创13个月新低。 ...
美国商品期货交易委员会(CFTC):截至4月8日当周,COMEX铜净多头头寸减少了17,172手,至14,101手。
news flash· 2025-04-11 19:35
美国商品期货交易委员会(CFTC):截至4月8日当周,COMEX铜净多头头寸减少了17,172手,至 14,101手。 ...
黄金多头暴动突破周线阻力!是趋势开始还是假突破?立即查看最新分析,掌握黄金趋势机会!
news flash· 2025-04-11 11:20
Core Insights - Gold bulls have broken through weekly resistance, raising questions about whether this marks the beginning of a new trend or a false breakout [1] Group 1 - The recent surge in gold prices indicates a strong bullish sentiment among investors [1] - Analysts are closely monitoring the situation to determine if the current movement is sustainable or if it could be a temporary spike [1] - The potential for a false breakout poses risks for investors who may be entering the market at this time [1]
因子跟踪周报:换手率、季度毛利率因子表现较好-2025-04-05
Tianfeng Securities· 2025-04-05 09:55
Quantitative Factors and Construction Methods 1. Factor Name: Book-to-Price Ratio (BP) - **Construction Idea**: Measures the valuation of a stock by comparing its book value to its market value [12] - **Construction Process**: - Formula: $ BP = \frac{\text{Current Book Value}}{\text{Current Market Value}} $ [12] - **Evaluation**: BP is a widely used valuation factor, and its positive IC and excess return indicate its effectiveness in identifying undervalued stocks [8][10] 2. Factor Name: BP Three-Year Percentile - **Construction Idea**: Evaluates the relative valuation of a stock over the past three years [12] - **Construction Process**: - Formula: BP Three-Year Percentile = Percentile rank of the current BP within the last three years [12] - **Evaluation**: This factor provides a historical perspective on valuation, which can enhance its predictive power [8][10] 3. Factor Name: Quarterly Gross Profit Margin - **Construction Idea**: Measures profitability by comparing gross profit to sales revenue [12] - **Construction Process**: - Formula: $ \text{Quarterly Gross Profit Margin} = \frac{\text{Quarterly Gross Profit}}{\text{Quarterly Sales Revenue}} $ [12] - **Evaluation**: A positive IC and strong excess return suggest this factor is effective in identifying profitable companies [8][10] 4. Factor Name: 1-Month Average Daily Turnover - **Construction Idea**: Captures liquidity by analyzing the average daily turnover over the past month [12] - **Construction Process**: - Formula: 1-Month Average Daily Turnover = Mean of daily turnover over the last 20 trading days [12] - **Evaluation**: This factor demonstrates strong performance in short-term IC and excess return, indicating its utility in capturing liquidity-driven opportunities [8][10] 5. Factor Name: 1-Month Turnover Volatility - **Construction Idea**: Measures the variability of turnover over the past month to capture liquidity dynamics [12] - **Construction Process**: - Formula: 1-Month Turnover Volatility = Standard deviation of daily turnover over the last 20 trading days [12] - **Evaluation**: High IC and excess return suggest this factor effectively captures liquidity-related anomalies [8][10] 6. Factor Name: Fama-French Three-Factor 1-Month Residual Volatility - **Construction Idea**: Measures idiosyncratic risk by analyzing the residual volatility from the Fama-French three-factor model [12] - **Construction Process**: - Formula: Residual Volatility = Standard deviation of residuals from the regression of daily returns on the Fama-French three factors over the last 20 trading days [12] - **Evaluation**: This factor is effective in capturing risk-related anomalies, as evidenced by its strong IC and excess return [8][10] --- Factor Backtesting Results IC Performance - **BP**: Weekly IC = 5.32%, Monthly IC = 8.04%, Annual IC = 1.81% [8] - **BP Three-Year Percentile**: Weekly IC = 6.26%, Monthly IC = 10.63%, Annual IC = 3.10% [8] - **Quarterly Gross Profit Margin**: Weekly IC = 5.61%, Monthly IC = 3.29%, Annual IC = 0.64% [8] - **1-Month Average Daily Turnover**: Weekly IC = 12.54%, Monthly IC = 14.06%, Annual IC = 2.03% [8] - **1-Month Turnover Volatility**: Weekly IC = 10.49%, Monthly IC = 13.42%, Annual IC = 2.70% [8] - **Fama-French Three-Factor 1-Month Residual Volatility**: Weekly IC = 8.93%, Monthly IC = 13.16%, Annual IC = 3.32% [8] Excess Return Performance - **BP**: Weekly Excess Return = -0.04%, Monthly Excess Return = 1.27%, Annual Excess Return = 2.22% [10] - **BP Three-Year Percentile**: Weekly Excess Return = -0.25%, Monthly Excess Return = 2.07%, Annual Excess Return = 3.63% [10] - **Quarterly Gross Profit Margin**: Weekly Excess Return = 0.68%, Monthly Excess Return = 1.05%, Annual Excess Return = 4.64% [10] - **1-Month Average Daily Turnover**: Weekly Excess Return = 0.64%, Monthly Excess Return = 2.96%, Annual Excess Return = 7.46% [10] - **1-Month Turnover Volatility**: Weekly Excess Return = 0.55%, Monthly Excess Return = 2.95%, Annual Excess Return = 9.61% [10] - **Fama-French Three-Factor 1-Month Residual Volatility**: Weekly Excess Return = 0.29%, Monthly Excess Return = 2.75%, Annual Excess Return = 7.03% [10]
因子跟踪周报:换手率、bp分位数因子表现较好-2025-03-29
Tianfeng Securities· 2025-03-29 09:30
Quantitative Factors and Construction Methods - **Factor Name**: bp **Construction Idea**: Measures valuation by comparing net assets to market capitalization **Construction Process**: Calculated as: $ bp = \frac{\text{Net Assets}}{\text{Market Capitalization}} $ **Evaluation**: Provides a direct valuation metric for stocks[13] - **Factor Name**: bp three-year percentile **Construction Idea**: Evaluates the relative valuation of a stock over the past three years **Construction Process**: Represents the current bp value's percentile rank within the last three years[13] **Evaluation**: Useful for identifying stocks with consistent valuation trends[13] - **Factor Name**: Quarterly ep **Construction Idea**: Measures profitability relative to net assets **Construction Process**: Calculated as: $ \text{Quarterly ep} = \frac{\text{Quarterly Net Profit}}{\text{Net Assets}} $ **Evaluation**: Indicates profitability efficiency[13] - **Factor Name**: Quarterly ep one-year percentile **Construction Idea**: Tracks the relative profitability of a stock over the past year **Construction Process**: Represents the current quarterly ep value's percentile rank within the last year[13] **Evaluation**: Highlights short-term profitability trends[13] - **Factor Name**: Quarterly sp **Construction Idea**: Measures revenue generation relative to net assets **Construction Process**: Calculated as: $ \text{Quarterly sp} = \frac{\text{Quarterly Revenue}}{\text{Net Assets}} $ **Evaluation**: Reflects operational efficiency[13] - **Factor Name**: Quarterly sp one-year percentile **Construction Idea**: Tracks the relative revenue generation of a stock over the past year **Construction Process**: Represents the current quarterly sp value's percentile rank within the last year[13] **Evaluation**: Useful for identifying short-term revenue trends[13] - **Factor Name**: Quarterly ROA **Construction Idea**: Measures profitability relative to total assets **Construction Process**: Calculated as: $ \text{Quarterly ROA} = \frac{\text{Quarterly Net Profit}}{\text{Total Assets}} $ **Evaluation**: Indicates asset utilization efficiency[13] - **Factor Name**: Quarterly ROE **Construction Idea**: Measures profitability relative to shareholders' equity **Construction Process**: Calculated as: $ \text{Quarterly ROE} = \frac{\text{Quarterly Net Profit}}{\text{Net Assets}} $ **Evaluation**: Reflects return on equity for shareholders[13] - **Factor Name**: Quarterly net profit YoY growth **Construction Idea**: Tracks year-over-year growth in net profit **Construction Process**: Calculated as: $ \text{Net Profit YoY Growth} = \frac{\text{Current Net Profit} - \text{Previous Year Net Profit}}{\text{Previous Year Net Profit}} $ **Evaluation**: Highlights growth trends in profitability[13] - **Factor Name**: Quarterly revenue YoY growth **Construction Idea**: Tracks year-over-year growth in revenue **Construction Process**: Calculated as: $ \text{Revenue YoY Growth} = \frac{\text{Current Revenue} - \text{Previous Year Revenue}}{\text{Previous Year Revenue}} $ **Evaluation**: Reflects growth trends in operational performance[13] - **Factor Name**: Quarterly ROE YoY growth **Construction Idea**: Tracks year-over-year growth in ROE **Construction Process**: Calculated as: $ \text{ROE YoY Growth} = \frac{\text{Current ROE} - \text{Previous Year ROE}}{\text{Previous Year ROE}} $ **Evaluation**: Indicates improvement in equity returns[13] - **Factor Name**: Standardized unexpected earnings **Construction Idea**: Measures deviation of current earnings from historical growth trends **Construction Process**: $ \text{Standardized Unexpected Earnings} = \frac{\text{Current Earnings} - (\text{Last Year Earnings} + \text{8-Quarter Average Growth})}{\text{Standard Deviation of 8-Quarter Growth}} $ **Evaluation**: Useful for identifying earnings surprises[13] - **Factor Name**: Standardized unexpected revenue **Construction Idea**: Measures deviation of current revenue from historical growth trends **Construction Process**: $ \text{Standardized Unexpected Revenue} = \frac{\text{Current Revenue} - (\text{Last Year Revenue} + \text{8-Quarter Average Growth})}{\text{Standard Deviation of 8-Quarter Growth}} $ **Evaluation**: Highlights revenue surprises[13] - **Factor Name**: Dividend yield **Construction Idea**: Measures dividend payout relative to market capitalization **Construction Process**: Calculated as: $ \text{Dividend Yield} = \frac{\text{Annual Dividend}}{\text{Market Capitalization}} $ **Evaluation**: Indicates shareholder returns through dividends[13] - **Factor Name**: 1-month turnover rate volatility **Construction Idea**: Tracks the standard deviation of turnover rates over the past month **Construction Process**: $ \text{Turnover Rate Volatility} = \text{Standard Deviation of Daily Turnover Rates (Last 20 Days)} $ **Evaluation**: Reflects liquidity stability[13] Factor Backtesting Results - **bp**: Weekly IC 5.34%, Monthly IC 5.55%, Annual IC 1.76%, Historical IC 1.95%[8] Weekly excess return 0.20%, Monthly excess return 0.46%, Annual excess return 3.36%, Historical cumulative excess return 24.65%[10] - **bp three-year percentile**: Weekly IC 16.49%, Monthly IC 7.73%, Annual IC 2.81%, Historical IC 1.43%[8] Weekly excess return 1.02%, Monthly excess return 1.44%, Annual excess return 4.22%, Historical cumulative excess return -4.34%[10] - **Quarterly ep**: Weekly IC 14.19%, Monthly IC 7.50%, Annual IC 0.63%, Historical IC 1.32%[8] Weekly excess return 0.45%, Monthly excess return 2.65%, Annual excess return 3.46%, Historical cumulative excess return 30.85%[10] - **Quarterly ep one-year percentile**: Weekly IC 6.12%, Monthly IC 2.81%, Annual IC 1.13%, Historical IC 1.69%[8] Weekly excess return 0.40%, Monthly excess return 0.23%, Annual excess return 7.17%, Historical cumulative excess return 34.94%[10] - **Quarterly sp**: Weekly IC 4.90%, Monthly IC 1.26%, Annual IC 0.33%, Historical IC 0.74%[8] Weekly excess return 0.00%, Monthly excess return -0.55%, Annual excess return 1.08%, Historical cumulative excess return -2.52%[10] - **Quarterly sp one-year percentile**: Weekly IC 9.34%, Monthly IC 4.43%, Annual IC 2.73%, Historical IC 1.72%[8] Weekly excess return 0.27%, Monthly excess return 0.69%, Annual excess return 6.53%, Historical cumulative excess return 1.81%[10] - **Quarterly ROA**: Weekly IC 13.83%, Monthly IC 6.81%, Annual IC 0.59%, Historical IC 1.24%[8] Weekly excess return 0.38%, Monthly excess return 2.52%, Annual excess return 4.27%, Historical cumulative excess return 25.60%[10] - **Quarterly ROE**: Weekly IC 13.62%, Monthly IC 6.93%, Annual IC 0.58%, Historical IC 1.39%[8] Weekly excess return 0.24%, Monthly excess return 1.81%, Annual excess return 2.47%, Historical cumulative excess return 31.72%[10]