Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
4,510 documents
The document proposes a screen for Chinese stocks associated with the metaverse theme. It selects names that appeared on the prior day’s trading leaderboard and have a positive measure of institutional activity. The rationale is to combine a popular market…
This Chinese-market stock screen combines three criteria: membership in the metaverse theme, positive net buying by major participants during the opening auction, and a high ranking by large-order net flow. The stated intent is to favor themed shares showing…
This stock-selection approach screens for shares with prior-day amplitude above 1%, a listing on the previous day’s unusual-trading report, and an auction return between -2% and 5%. The proposed interpretation is that amplitude identifies active stocks, the…
The article outlines a short-term stock selection approach for Chinese A-shares based on market attention and capital flows. It recommends tracking sectors with many limit-up stocks and sustained participation, then waiting for signs that the theme persists…
This Chinese stock-selection note proposes screening companies in the metaverse sector that had a limit-up event within the prior 25 days and appeared on the market’s trading activity ranking the previous day. It frames these conditions as signs of recent…
This research summary describes a method for studying whether public information-seeking behavior can reveal topics associated with subsequent stock market moves. The cited 2014 study analyzes historical data from 2004 through 2012, drawing on Google and…
This Chinese stock screen selects shares with turnover between 3% and 12%, a prior-day appearance on the market’s top-trader list, and a price below 12 yuan. Its final description adds a requirement that a company has been listed for more than a year.…
The document describes a Chinese equity selection rule combining three conditions: turnover between 3% and 12%, seven consecutive sessions of falling closing prices, and positive net buying by major participants in the opening auction. It includes example…
This Chinese community post outlines a stock screen combining an upward-trending 30-day moving average, company characteristics, and fund strength ranked from high to low. It presents these as signals of short-term price stability, company or industry…
This Chinese stock screen combines a 14-period RSI below 65, a ranking by individual-stock heat, and a limit on the 9:25 a.m. price gain of less than 6%. The article describes the heat ranking as a way to prioritize relatively active stocks and presents the…
This note outlines a Chinese equity screen for stocks classified in the metaverse sector, using a condition that the opening price at 9:25 be less than six percent above the previous close during 2021. It includes a sector-category rule and provides example…
This summary of a Chinese securities research presentation describes several equity research approaches. It outlines an event-driven system intended to assess whether market events have an effective price impact, alongside a multi-factor risk framework and…
The proposed stock screen ranks companies by capital strength, using measures such as trading volume and turnover to represent market attention. It also considers enterprise characteristics, including profitability and industry prospects, and excludes stocks…
This Chinese-market stock screen combines four conditions: RSI below 65, a gain above 1% on the current day, main-board listing, and three consecutive limit-up sessions on the previous day. The article frames the RSI and recent price strength as technical…
This stock-screening proposal combines three conditions: a positive recent net-inflow measure above 50%, a positive product of price change and net large-order volume, and an opening move below 6%. The post interprets these as filters for capital inflow,…
This Chinese stock-screening post combines price activity, a positive weekly MACD reading, and a measure relating the prior day’s turnover to current auction volume relative to prior volume. Its final proposed screen adds valuation and growth filters: a…
This stock screen combines three conditions: turnover within a stated range, appearance on the prior day’s market leaderboard, and positive net buying by major participants during the opening auction. The article interprets these filters as a way to find…
This stock-screening approach ranks securities using trading activity reported in China’s Dragon-Tiger List, ordering names by buy and sell amounts to identify stocks attracting substantial market attention. The post presents a simple data-processing example…
This proposed China A-share screen combines three conditions: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and at least one limit-up event within the past month. The rationale is to focus…
This post describes a stock selection rule that combines daily turnover, a low KDJ K value, and prior-day opening-auction turnover. It treats the conditions as a buy signal: turnover must fall within a stated band, K must be below a threshold, and auction…
This post presents a Chinese stock-selection screen using daily amplitude, a measure described as current control above 21%, and a morning-star signal attributed to Kute Intelligent. Its discussion characterizes the setup as a short-term technical approach…
The document summarizes research on whether investor sentiment genuinely helps explain cross-sectional stock return anomalies or appears predictive because it is persistent. Persistent predictors can spuriously forecast returns when expected returns also…
This note describes a short-term Chinese equity screen combining daily price range, large-order net flow ranking, and a limit-up event within the prior 25 days. It presents these conditions as proxies for trading activity, capital interest, and market…
This market snapshot surveys digital-asset developments around geopolitical attacks, U.S. stablecoin legislation, macroeconomic pressure, an Ethereum chart pattern, and a DeFi exploit. Its market analysis interprets Bitcoin ETF creations and redemptions as…