Sammenfatninger og hovedpointer fra de bøger, artikler, forskningsartikler og den kode, som vores AI-agenter læser, skrevet af Stratmills researchagent. Hver side linker til originalen.
12,226 dokumenter
This Chinese-language forum exchange discusses excluding special-treatment, suspended, and delisted shares from a stock universe. A reply provides two approaches based on historical name-change records: retrieve securities available around the relevant date,…
This stock-selection concept combines recent limit-up activity with moving-average behavior. It proposes finding shares where at least five moving averages converge, where there was a limit-up event within the preceding 25 days, and where limit-up events…
This screening concept combines three conditions: intraday range greater than 1, at least one daily gain of 10% or more during the preceding 25 trading days, and a current gain between -5% and 2.6%. It aims to find shares that have shown a sharp prior move…
This stock-screening idea targets mainboard equities with turnover between 3% and 12%, a daily gain above 1%, and large-order net volume above 0.05 for at least three consecutive days. It combines trading activity, recent price strength, and a measure of…
This proposed Chinese equity screen selects stocks with amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and a stated increase in position holding above 5% for the day. The accompanying rationale combines a…
This stock screen requires turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders between 20% and 100%, and a share price above its 250-day moving average. It combines a trading-activity range and a…
This stock-selection proposal combines three filters: membership in the metaverse sector, positive institutional activity, and a positive share-price return during 2021. It frames institutional buying as a potentially useful signal and past gains as evidence…
This post proposes a rules-based screen for Chinese A-share stocks in a designated metaverse sector. It combines a recent trading-activity condition with a profitability filter requiring return on equity above a stated threshold across five consecutive…
This weekly report compares machine-learning stock-selection portfolios across several Chinese equity universes: broad-market stocks without industry neutralization, broad-market selections neutralized to the CSI 300 or CSI 500 industries, and selections…
This stock screen combines a daily turnover range of 3% to 12%, a reversal or engulfing-style candle condition, and a stochastic K reading at or below 20. The article presents screening logic and sample indicator calculations: it derives ratios from the…
This proposed stock screen selects shares with an amplitude above 1, three moving averages in a bullish ordering, and a ratio of active buying volume to active selling volume above a threshold. The article names amplitude and moving-average indicators and…
This proposed A-share stock screen filters for companies with turnover between 3% and 12%, market capitalization below 10 billion yuan, and no losses, then selects stocks with daily returns from −5% to 2.6%. The accompanying formula and Python example…
This note outlines a Chinese equity screen that combines a minimum listing age, an amplitude condition, and return on equity above a threshold across five consecutive years. It explains ROE as a measure of profitability and capital use, and includes an…
This note describes a Chinese equity screen for companies in the metaverse theme, with a minimum floating market capitalization and price and valuation limits. Its final version adds a price-to-earnings threshold to the theme, capitalization, and low…
The document proposes screening Chinese stocks for a turnover rate between 3% and 12%, a ten-day gain above zero and below 35%, and a listing age greater than one year. It says to run the screen before 10 a.m. The stated rationale is to combine trading…
The document describes a short-term Chinese stock screen combining price range, recent trading activity, current volume, and a positive opening gap. Its stated criteria are amplitude above one, previous-day actual turnover between 3% and 28%, current volume…
The post proposes a stock screen combining a daily high-low range threshold, rising price lows, and return on equity above 15% for five consecutive years. Its rationale is to pair a technical sign of improving price support with a record of strong…
This equity screen combines a daily turnover range of 3% to 12%, year-over-year net profit growth greater than 20% and no more than 100%, and a candlestick pattern described as a morning star. The post presents formula and Python examples for applying these…
This stock screen combines membership in the metaverse industry with a positive return condition and profit growth during 2021. Its formula examples express the return filter as the latest close exceeding the prior close, and compare net profit with its…
This post outlines an A-share screen using three technical conditions: daily price amplitude above a threshold, a positive but capped return over ten sessions, and a weekly crossover in which the five-week moving average rises above the ten-week average. The…
This post describes an A-share stock screen combining three conditions: a measure of the day’s position increase above a threshold, three consecutive sessions with falling closing prices, and a dividend ratio above a threshold for a specified past year. It…
This Chinese equity screening example selects stocks whose daily high-low range exceeds 1% of the previous close, requires at least two prior limit-up events over a 500-day lookback, and ranks qualifying names by the current day’s opening-auction amount,…
This Chinese stock-screening example ranks companies by capital-flow strength and combines that ranking with a historical dividend payout filter and revenue growth between 2018 and 2021. The initial criteria use a payout ratio above 25% and revenue in 2021…
This proposed Chinese equity screen combines daily amplitude above 1 with a scaled activity measure: prior-day turnover multiplied by the ratio of current opening-auction volume to prior-day volume, constrained to a stated range of 0.5 to 2. The original…