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.
4,194 documents
This research report describes a Chinese equity fund approach that first selects industries through fundamental analysis, then applies a multi-factor model to stocks within those industries. Industry research estimates long-term growth across more granular…
This research note reviews the growth and allocation case for quantitative funds in China, focusing on index enhancement and equity long-short strategies. It reports that in the first half of 2021, CSI 500 enhancement strategies outperformed selected active…
This document outlines a Chinese equity screen requiring turnover between 3% and 12% and year-over-year growth in net profit attributable to shareholders of the parent company between 20% and 100%. It then ranks qualifying stocks by capital strength, which…
This document describes a Chinese equity screening strategy combining membership in the metaverse sector, a pre-open or opening gain below 6%, and a signal interpreted as institutional buying. Its rationale is to find stocks that institutions may be…
This stock-selection idea combines membership in the metaverse theme with a limit on the opening price increase and a history of strong return on equity. The stated screen seeks firms with ROE above 15% for five consecutive years and an opening gain below…
The article explains how WorldQuant’s 101 formulaic alphas combine short horizon price and volume features, often mixing momentum and mean reversion. It distinguishes signals traded on the same day as their latest input from those traded later, and walks…
The document outlines a daily pre-market screen for Chinese stocks that combines three conditions: MACD above zero, positive trailing P/E, and a circulating share count no greater than 5.5 billion shares. It interprets positive MACD as a sign of an upward…
This article challenges three barriers commonly associated with quantitative investing: needing advanced mathematical credentials, being able to code extensively, and having a large portfolio. It presents quantitative analysis as a way to use statistics and…
This note proposes screening Chinese stocks with positive but limited returns over the prior ten days, a report of main-fund control on the previous day, and at least five converging moving averages. It then revises the screen to use six moving-average…
This post describes a stock screen for Shenzhen main-board shares using a price-to-earnings range of 0 to 29.01, a price-to-book range of 0 to 3.11, a 2019 dividend payout ratio above 25%, and an amplitude condition above 1. It frames the filters as a…
This note surveys seven pitfalls in quantitative investing: survivorship bias, look-ahead bias, storytelling, data mining, signal decay and trading costs, outliers, and asymmetric long-short payoffs. It explains how current index constituents can distort…
This note proposes a Chinese equity screen combining a historical dividend payout ratio above 25%, a ranking by large-order net volume, and an intraday price range greater than 1. Its rationale is to mix a short-term price and order-flow signal with a…
This proposed screen targets stocks in the metaverse industry that experienced a limit-up event within the previous 25 days and meet company-quality criteria. The article describes those criteria broadly, including research capability, company scale,…
The document explains how the Capital Asset Pricing Model can be used to assess stock returns relative to market risk. Under CAPM, expected return is linked to the risk-free rate and the stock’s beta multiplied by the market risk premium. A regression of a…
This post describes a simple Chinese A-share stock screen: retain shares with turnover rates between 3% and 12%, exclude Beijing-listed stocks, and require return on equity to exceed 15% for five consecutive years. The stated rationale is to favor companies…
The report outlines a framework for timing equity factors whose performance has become less stable. It first examines indicators such as valuation spreads and pairwise correlations, testing their relationship with future factor returns. It then uses a random…
This post describes a Chinese equity screen that combines a 14-period RSI below 65 with membership in the beverage and alcohol import-export industry, Shenzhen main-board listing, and specified price-to-earnings and price-to-book ranges. It presents the…
This post describes an equity screen restricted to the metaverse industry. It selects companies with simultaneous bullish crossovers in MACD, the five-day and ten-day moving averages, and the five-day and twenty-day moving averages. It further requires…
This presentation interprets findings from a 2021 survey of Chinese quantitative investment institutions and discusses how the sector was developing at that time. It covers strategy mixes, research organization, talent, artificial intelligence, alternative…
This document describes a Chinese equity screen that combines a 14-period RSI below 65, market capitalization of at least 200 million, and earnings growth in 2021. It presents the screen as a way to join a technical condition with size and fundamental growth…
This proposed equity screen selects beverage and alcohol companies with turnover between 3% and 12% and a 2019 dividend ratio above 25%. The document supplies example screening formulas and Python logic that combine industry membership, historical dividend…
The document presents a Chinese equity screen combining a daily price range greater than 1%, market capitalization below 10 billion yuan, positive net profits over the latest four quarters, and a share price of at least 18.5 yuan. It frames these conditions…
This proposed stock screen combines a daily volatility filter, a price trend signal, and a profitability criterion. It looks for stocks with an intraday range above 1%, a close crossing above a five-period moving average, and return on equity above 15% for…
This research summary examines quantitative stock selection among Chinese technology companies. It highlights research and development spending as a candidate signal and also discusses profitability, earnings growth, valuation, company size, turnover, and…