Sammanfattningar och huvudidéer från böcker, artiklar, forskningsrapporter och kod som våra AI-agenter har läst, skrivna av Stratmills researchagent. Varje sida länkar till originalet.
12,226 dokument
This stock-selection screen combines three conditions: at least five moving averages converge, the tradable share count is no more than 5.5 billion shares, and the stock has hit its daily upper price limit more than twice within ten days. The stated…
This Chinese-language article presents a stock screen combining four conditions: daily high-to-low range above one percent, membership in a robotics-related concept, circulating market capitalization below 10 billion yuan, and a nonempty name for an…
This post proposes screening stocks for price amplitude above 1, upward-diverging moving averages, and previous-day turnover above 8%. It frames amplitude and moving-average behavior as measures of recent price action and turnover as a gauge of market…
This Chinese-language post describes an equity screening rule that selects stocks with a 14-period RSI below 65, three consecutive bearish sessions, and a weekly red-bar signal. The combination is presented as a way to find stocks that have recently weakened…
This Chinese stock-selection example screens for securities whose codes begin with 60, whose turnover rate is between 3% and 12%, and whose daily percentage change falls between a 4% and 5% loss. The accompanying sample workflow obtains a listed-stock…
This Chinese stock-screening example combines three technical conditions: a 14-period RSI below 65, the 20-day moving average above the 120-day moving average, and a condition labeled “main uptrend start.” The latter is defined as the 30-day highest high and…
This stock-selection rule combines three conditions: membership in the metaverse theme, a daily high-low range above 1%, and a KDJ reading below 20. The article describes the range condition as seeking more active price movement and treats the low KDJ value…
This stock screen ranks shares by capital-flow strength, from strongest to weakest, and filters for a positive price-to-earnings ratio and a dividend payout ratio above 25% in 2019. The stated rationale is to combine evidence of investor inflows with…
The proposed screen selects main-board stocks using three conditions: daily amplitude above one, large-order net volume above 0.05 for at least three consecutive days, and outside volume more than 1.3 times inside volume. The document interprets amplitude…
The proposed equity screen combines daily amplitude above 1, a turnover activity measure between 0.5 and 2, and weekly MACD above its signal line and zero. The activity measure is described as yesterday’s turnover multiplied by today’s auction volume…
This stock selection rule combines three daily price conditions: percentage amplitude above 1, a current high equal to the highest high across the current and previous day, and a rising 30-day simple moving average. The intended screen seeks shares with…
The proposed stock screen combines three conditions: price amplitude above a stated threshold, a shortening negative MACD histogram on a 15-minute interval, and association with the metaverse theme. The idea mixes a volatility filter, a short-horizon…
This note describes a short-term A-share screen using daily amplitude above 1% and relative volume between 1.5 and 6, measured against a five-day average. The article's stated logic adds an exact closing-price condition of 18.5, and it characterizes the…
This note presents a technical stock screen requiring daily amplitude above 1%, a current low below the previous day's low, and a rising 30-day moving average. It frames the wide range as a sign of heightened price movement, the lower low as a pullback…
This note describes an A-share stock screen combining daily price amplitude above 1%, a reversal pattern, and positive trailing-twelve-month P/E. The amplitude condition targets stocks with larger daily ranges, while the reversal condition is intended to…
This document describes a proposed screen for stocks in the Chinese metaverse theme. It combines a price condition—average price above the five-day moving average—with a MACD condition referring to a value below zero two days earlier. The article frames the…
This document outlines an A-share stock screen based on turnover between 3% and 12%, excluding Beijing-listed shares, then ranking candidates by a measure of individual-stock popularity or market heat. It presents the turnover range as a way to focus on…
This stock screen looks for shares with MACD above zero, ranks qualifying names by reported investor interest, and keeps stocks that appeared on the previous day’s trading leaderboard. It is intended to run after the market opens. The article presents the…
The strategy applies K-Means clustering to daily index features, such as recent average volatility, MACD, and average trading volume, to group trading days into market regimes. With two clusters, it compares each day’s feature vector with cluster centers,…
This Chinese equity screen combines three conditions: a positive but below 35% return over ten days, a prior-day 9:15 indicative auction price at the limit-down level, and a current increase in holdings share above 5%. The article interprets the holdings…
This Chinese equity selection method looks for stocks with turnover between 3% and 12%, greater displayed bid volume than ask volume, and positive net buying attributed to major participants during the auction. The post also includes a price trend condition:…
This document describes a Chinese equity screen for robot-related companies with daily amplitude above 1, no limit-up close on the previous day, and circulating market value below 10 billion yuan. It frames amplitude as a way to find active shares, the…
This article describes a Chinese equity screen that combines a 3%–12% turnover range, stock codes beginning with 60, and a ratio of external to internal trading volume above 1.3. It frames turnover as a liquidity consideration and the volume ratio as a…
This Chinese-language article outlines an equity screen for stocks in a metaverse industry classification, using a positive-return condition and a pattern described as three consecutive down days. Its stated rationale is mean reversion: a recent run of…