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 proposed Chinese stock screen combines turnover between 3% and 12% with a positive product of the day’s price change and net large-order flow, plus daily position growth above 5%. The article presents the product as a way to relate the direction of…
The proposed Chinese equity screen selects stocks with daily amplitude above 1, turnover between 2% and 9%, and a stated share-float ceiling of 5.5 billion shares. The intended rationale is to find stocks with notable price movement and trading activity…
The document outlines a Chinese equity screening approach that starts with price amplitude, a minimum market capitalization, and a comparison of 2021 revenue with 2018 revenue. It discusses limitations of relying on revenue growth alone, including omitted…
This BigQuant example shows how a China stock universe selector can be connected to a trading engine that reads a daily signal table. The engine filters rows to the current date, closes existing positions once the elapsed time since their last sale reaches…
The document presents an indicator that draws Heikin-Ashi candles and marks narrow-body candles as potential dojis. It distinguishes an upward case, a downward case, and an undecided case, using the relationship between the Heikin-Ashi and regular candle…
This post proposes screening Chinese A-shares in the metaverse sector using a maximum circulating share count of 5.5 billion and previous-day turnover above 8%. The strategy is intended to focus on companies with a moderate float and active trading. Its…
This post outlines a daily, after-close stock screen combining positive MACD conditions with beverage import and export data, then ranking qualifying shares by market attention. Its rationale is that MACD may indicate upward momentum, while attention and…
This Chinese-language post proposes a daily stock screen combining price amplitude above 1%, a controlling-shareholder measure above 21%, and an upward relationship between short and longer moving averages. Its examples describe the moving-average condition…
This document describes an A-share momentum screen requiring turnover from 3% to 12%, a rising DEA indicator, and a daily price gain above 1%. Its stated rationale is to combine recent price direction with a turnover filter representing trading activity. It…
This document presents an A-share stock screen requiring turnover between 3% and 12%, seven consecutive daily declines, and a weekly price crossover above a 30-week reference line. It combines a trading-activity filter with a short-term losing streak and a…
This document describes a daily A-share screening rule combining a positive MACD condition, a share price below 12 yuan, and a maximum daily decline between 4% and 5%. It says to run the screen before 10 a.m. each trading day. The intended idea is to combine…
This Chinese equity screen looks for stocks whose codes begin with 60, whose daily high-to-low range exceeds 1% of the opening price, and whose weekly candle is bullish, meaning the weekly close is above the weekly open. The article’s example also sorts…
This Chinese equity screen selects stocks associated with the robotics theme, with a stated free-float market value below 10 billion yuan and daily turnover between 3% and 12%. It also requires the current day’s low to be below the prior day’s low, then…
This report summary examines whether Chinese equity index returns and industry performance vary by lunar calendar month. It analyzes eight major mainland indices using historical monthly average returns and regression tests with autocorrelation-consistent…
This Chinese equity selection proposal filters for stocks with daily amplitude above one percent, at least two limit-up events within the past 500 days, and a positive ten-day return below 35 percent. The rationale combines recent positive momentum with…
This proposed Chinese equity screen combines three conditions: daily amplitude above one percent, large-order net inflows during the afternoon, and membership in metaverse-related themes such as virtual reality, gaming, or digitalization. Its rationale is…
This strategy-sharing article describes an enhanced China Securities 150 equity approach that blends model-based stock ranking with technical timing. The universe is manually narrowed to roughly 100–300 large, liquid constituent-style stocks. An AI model…
This Chinese-language post outlines an equity screening idea combining daily amplitude above 1%, an opening price near the 10-day moving average, and an arc-shaped price pattern. The proposed rationale is to find stocks with meaningful movement that are near…
This proposed equity screen combines a price range condition, sustained profitability, and a snapshot of order book demand. It selects stocks whose high minus low is at least one unit, whose return on equity exceeds 15% in each of the prior five years, and…
This study tests whether machine learning can explain stock returns left unexplained by a conventional linear equity factor model. It uses 22 style factor exposures to predict standardized stock specific returns, then evaluates boosted trees, random forests,…
This stock screen selects shares whose daily high-low range exceeds one, whose prior-day actual turnover is between 3% and 28%, and whose opening price is near the ten-day moving average. The article frames the range and turnover filters as ways to focus on…
This research summary examines why firms repurchase shares when short sellers increase their positions. It contrasts managerial myopia, in which buybacks protect near-term prices or earnings at a cost to long-term owners, with a private-information…
This stock selection proposal combines three filters: daily price range, five consecutive years of return on equity above 15%, and large-order net volume above 0.05 for at least three days. It then suggests smoothing that flow measure and requiring its…
This post proposes screening A-shares for turnover between 3% and 12%, a positive gain over ten days that remains below 35%, and no limit-up close on the previous day. The author characterizes the method as a momentum-oriented screen and cautions that…