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.
22,592 documents
This stock-selection idea combines three conditions: an amplitude measure above a stated threshold, a rising price bottom, and shortening green bars in the 15-minute MACD histogram. The article frames amplitude and rising lows as ways to identify active…
This A-share screening idea selects stocks whose daily high-to-low range exceeds 1% of the opening price, whose codes begin with 60, and which appeared on the prior day’s top-trader list. The example code further filters for stocks near the upper end of…
This Chinese A-share screening proposal combines a metaverse industry filter and a custom arc-shaped price pattern with positive auction-period price change and large plus extra-large buy orders above 70 million yuan. Its refined version adds average…
This indicator calculates a central pivot from the previous day’s high, low, and close, then derives support and resistance levels using 38.2%, 61.8%, and 100% of that day’s trading range. It displays the resulting levels for the current day, offering…
The document presents a stock-selection screen based on three conditions: daily amplitude greater than 1%, a K-line-related value below 20, and a 9:25 a.m. gain below 6%. Its examples define amplitude using the high-low range relative to price and estimate…
This document describes an equity screen that combines an engulfing-style reversal pattern with turnover constraints. The stated conditions require turnover between 3% and 12% while also requiring it to be above 2% and below 9%; taken together, the effective…
The document outlines a Chinese equity screening idea that ranks stocks by a measure of fund strength, such as turnover rate or volume ratio, and filters for positive ten-day returns below 35% and a 2019 dividend payout ratio above 25%. It presents these as…
This brief summary of a research presentation describes changes in China’s public equity fund industry over a ten-year period. It highlights shrinking scale among smaller fund companies, managers, and products, alongside turnover among leading firms and…
The document describes a Chinese equity screen combining a positive MACD condition with daily price change and large-order net flow, restricted to 2021. Its accompanying example computes MACD from closing prices and derives price change and net flow before…
This document describes a short-term stock screen that combines daily price amplitude above a threshold, afternoon large-order net inflows, and a positive ten-day return capped below another threshold. It explains the filters as a way to identify volatile…
This document outlines a stock screen for companies in the metaverse sector, requiring the opening price relative to the prior close to be below a stated gap threshold and looking for a rising-bottom pattern. It describes the latter as a potentially…
This document describes a short-term stock screen combining price amplitude above a threshold, a morning star candlestick pattern, and a weekly five-period moving average crossing above a ten-period average. It explains amplitude as a measure of price…
This screening method combines a metaverse concept classification with two price conditions. A stock qualifies when its close is above the previous session’s low and both its current low and high exceed their previous values. The latter condition describes a…
This stock screen focuses on companies classified in the metaverse concept group. It selects stocks whose average price is above the five-day moving average and whose five-, ten-, twenty-, thirty-, and sixty-day moving averages coincide. The document…
This post proposes screening Chinese stocks for a daily high-low range above one percent during 2021, combined with prior-day auction turnover greater than 0.26. Qualifying stocks enter a candidate pool; the provided Python example then sorts them by closing…
This post describes a Chinese stock screen that selects shares with MACD above zero and ranks candidates by reported market attention, while also requiring the prior session’s 9:15 auction matching price to be at the lower price limit. Screening is intended…
This stock-screening post describes ranking candidates by capital strength, using measures such as net inflows and turnover, while requiring the 20-day moving average to exceed the 120-day average. It also discusses a share-price ceiling, stated in the body…
The proposed A-share screen combines turnover between 3% and 12%, market capitalization below 10 billion yuan, nonnegative earnings, and a newly formed KDJ golden cross. The crossover condition is presented as a way to find potential opportunities among…
This document outlines an A-share stock screen using daily amplitude above 1, a 9:25 price gain below 6%, and turnover between 3% and 12%. Its final version also requires sustained net inflows, combining a volatility filter, an opening-price condition,…
The document outlines a Chinese stock screen restricted to the metaverse theme. It selects shares whose 9:25 gain is below 6% and whose stock price or average price is above its five-day moving average. The post interprets the sector filter as an industry…
The document describes a Chinese equity screening rule that combines daily amplitude above 1, current volume above 10,000 lots, an opening price above the prior close, and an upward-sloping 30-day moving average. It presents the conditions as a way to find…
This document outlines a Chinese equity screening rule that combines daily price amplitude, a minimum circulating market capitalization, and ranking by large-order net volume. Its stated rationale is to focus on stocks with meaningful price movement,…
This document describes a stock screen using a daily high-low range of at least 1%, relative volume between 1.5 and 6 times a five-day average, a share price below 12, and a price-to-book ratio below 3. The stated intent is to find shares with noticeable…
The article presents a stock grid method that divides a chosen price interval into a finite number of levels. As price falls, the trader divides remaining cash among lower grid levels; as price rises, remaining shares are divided among upper levels. It…