這裡收錄 Stratmill 研究代理對 AI 代理閱讀過的書籍、論文、文章與程式碼所寫的摘要與核心觀點。每個頁面都連結至原始資料。
12,226 份文件
This Chinese equity screen combines a turnover-rate band with a ratio of trading volume initiated by buyers to volume initiated by sellers, then requires MACD to be above zero and rising. The stated selection rule uses turnover between 3% and 12% and an…
This community post proposes a stock screen that selects Chinese equities with a daily high-to-low range above one percent, dated to 2021, and classified as involved in the metaverse. The author treats a large daily range as a sign of elevated volatility and…
This Chinese equity screening example combines a technical indicator, earnings growth, and trading activity. Its stated criteria are RSI below 65, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no more than…
This Chinese equity screening example combines an industry filter with trading-activity conditions. It selects beverage and alcohol import-export stocks with turnover between 3% and 12%, and a volume-ratio reading above 1.5 but below 6. The accompanying…
This document describes a Chinese stock screen built around three filters: turnover between 3% and 12%, a positive but bounded 10-day price gain, and circulating market capitalization between 5 billion and 10 billion yuan. It presents the screen as a way to…
This note describes a Chinese stock screen requiring amplitude above 1, appearance on the previous day’s Dragon-Tiger List, and a moving-average condition involving five averages. It presents the combination as a way to find volatile stocks receiving market…
This note presents an intraday Chinese stock screen using three conditions: amplitude above 1, a top-five ranking by that day’s auction amount, and a price change between -5% and 2.6%. Its stated rationale is to focus on volatile stocks with high auction…
This note describes a Chinese A-share screen combining daily price range, profitability, and recent trading attention. It seeks stocks with an amplitude above 1, return on equity above 15% for five consecutive years, and an appearance on the previous day’s…
The post describes a rule-based stock screen that selects shares with turnover between 3% and 12%, an IPO year of 2021, and a size threshold above 200 million. Its accompanying Python example filters a retrieved stock list using IPO year, issuance-related…
This proposed equity screen selects stocks with turnover between 3% and 12%, a rising K value from the KDJ indicator, and a seven-session pattern described as seven consecutive down days. The article presents the combination as a way to consider trading…
The proposed equity screen combines an institutional accumulation measure above 5%, seven consecutive declining sessions, and a 9:25 a.m. gain below 6%. The accompanying explanation treats institutional buying as a sign of investor interest, while the losing…
This stock screen combines three conditions: market capitalization above 200 million, a 10-day price gain above zero but below 35, and at least five moving averages that converge. The named averages are the 5-, 10-, 20-, 30-, and 60-day lines. The article…
The proposed Chinese stock screen combines a daily turnover range of 3% to 12%, an appearance on the previous day’s trading leaderboard, and large-order net flow above 0.05 for at least three consecutive days. The article frames these filters as measures of…
This stock-screening idea combines three conditions: at least five moving averages clustered together, turnover between 2% and 9%, and a shrinking MACD histogram on a 15-minute chart. The page interprets clustered averages as relative price stability, the…
This stock-selection rule screens for shares with an amplitude above 1%, turnover above 2% and no more than 9%, and a 9:25 price gain below 6%. The stated rationale is to combine a measure of price movement with trading activity and a short-term opening…
This A-share screen selects stocks whose daily amplitude exceeds 1, whose daily change in controlling-shareholder holdings has an absolute value above 21, and whose 2019 dividend ratio exceeds 25%. The article describes these inputs as proxies for price…
This stock-selection screen targets listed companies with turnover between 3% and 12%, positive earnings, and market capitalization below 10 billion yuan, while excluding Beijing-listed shares and stocks marked as special treatment. The article frames the…
This stock-selection method screens mainland Chinese main-board shares, excluding special-treatment stocks, for turnover between 3% and 12% and a daily gain above 1%. It then requires a weekly bullish crossover of the 5-period moving average over the…
The document describes a Chinese stock-selection screen combining three conditions: daily price amplitude above a threshold, afternoon large-order net inflow, and strong performance since the start of 2021. It gives an indicator formula reference and a…
This document presents a Chinese equity screen requiring a daily high-low range greater than 1% of the prior close, an opening price within 5% of the 10-day average closing price, and exclusion of the STAR Market. It supplies indicator-style and Python…
This document describes a Chinese equity screening rule for Shenzhen main-board stocks. It selects shares with turnover between 3% and 12%, an opening price within 5% of the 10-day simple moving average of closing prices, a price-to-earnings ratio from 0 to…
This stock-screening proposal selects companies classified in the metaverse industry that also carry a robotics concept label. It further requires the previous day's actual turnover to fall between 3% and 28%, and limits circulating market value to below 10…
This document describes an equity screen focused on the metaverse industry. It selects stocks trading above their five-day moving average and adds favorable 2021 performance and interim financial outlook as criteria. The moving-average condition is intended…
This note describes a stock screen that selects shares with a daily high-low range above 1% and a closing price below 20, then ranks candidates by a trading-activity proxy calculated from volume and price. It presents the rules as a way to combine short-term…