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.
1,698 documents
This Chinese A-share stock screen combines a metaverse industry filter with two activity signals: a stock must have appeared on the market’s “Dragon-Tiger” list the previous day, and its count of institutional research visits over the past week must rank…
This stock screen combines three conditions: amplitude above one, a prior-day 9:15 auction matched price at the limit-down level, and an appearance on the prior day’s trading list. The article interprets the filters as capturing volatility, weak market…
This brief summary of a 2018 Chinese new-share market review reports that IPO issuance slowed while subscription winning rates remained stable. It also says that new-share subscription returns differed by investor category: A- and B-class investors…
This Chinese-language post presents a short-term A-share stock screen focused on the metaverse industry. It combines appearance on the prior day’s 龙虎榜, a list highlighting unusual trading activity, with auction-period indicators for large and very large buy…
This research roundup summarizes three studies. The first examines whether unexpected US monetary policy announcements affected hedge fund alpha after the financial crisis, using event studies, structural-break tests, and Markov-switching models. It reports…
This stock selection method combines three filters: membership in the metaverse sector, a positive institutional-flow indicator, and appearance on the previous day’s Dragon-Tiger trading list. The document describes the rationale that sector growth,…
The document describes a MetaTrader news detector that retrieves economic news and displays upcoming events. Users can filter the feed by event importance, currency, and keywords, while an automatic GMT offset check helps align event times. A dashboard and…
This report studies the accuracy of analysts’ consensus earnings-per-share forecasts for China A-shares and develops forecast-bias signals for stock selection. Its full-sample statistics indicate substantial errors and an overall optimistic bias. An…
This research summary examines whether company managers adjust reported earnings to meet individual analyst forecasts, beyond the incentive to meet consensus estimates. It describes a study using the change in effective tax rate from the third to fourth…
This stock screen selects names whose daily high-low range exceeds one percent of the low, that recorded at least one limit-up day in the preceding 25 sessions, and that have a nonempty outstanding convertible-bond name field. The resulting names enter a…
The study defines an earnings surprise by comparing reported results from forecasts, flash reports, or periodic filings with analyst consensus net profit estimates from the day before the announcement. For nonannual reports, it estimates full-period…
This weekly market commentary reviews Chinese equity index moves and sector themes for August 8–14, 2022. It highlights Chiplet-related stocks and financial firms, linking the former to semiconductor packaging developments and the latter to expectations…
This proposed A-share screen looks for companies with turnover between 3% and 12%, market capitalization below 10 billion yuan, and no reported losses, then selects stocks whose prior-day 9:15 indicative matching price was at the lower price limit. The…
This note proposes screening Chinese stocks associated with the metaverse theme, with circulating market capitalization above 10 billion yuan, and aggregate large- and extra-large-order buying during the opening auction above 7 million yuan. Its rationale is…
The article explains how Bitcoin halvings reduce the issuance of new coins and considers possible effects on price and mining. It describes the expected block reward reduction and argues that a supply decrease could support prices if demand does not fall by…
This strategy uses a public disclosure page as a signal for trading stocks or exchange-listed units. A research agent retrieves the page and checks when it was published; the strategy proceeds only when the disclosure predates the trading session and reports…
The article characterizes high-frequency trading as automated, rapid intraday trading based on fine-grained market data, with rapid order entry and cancellation and high capital turnover. It surveys four approaches: providing liquidity through market making,…
This research digest summarizes three studies. The first compares earnings announcement returns (EAR), which capture market reactions to unexpected information in company results, with standardized unexpected earnings (SUE). It reports annualized long-short…
This market commentary examines crypto options positioning in December 2023 as traders anticipated a US spot Bitcoin ETF decision. It discusses a sharp Bitcoin pullback and a rise in realized volatility, alongside a decline in short-dated implied volatility…
This market commentary interprets crypto option-implied distributions and volatility around the 2024 US election. It uses calibrated BTC options distributions to compare the market-implied chance of prices above $72,000 at the November 8 and December 27…
This A-share stock selection rule screens companies classified in the metaverse industry for two signs of recent activity: appearing on the prior day’s Dragon-Tiger list and recording prior-day trading turnover above 60 million yuan. The article presents the…
This stock screen combines a metaverse industry classification and a rounded-base chart pattern with a prior-day downside signal. The final rule accepts stocks described as having a limit-down opening match price at 9:15 or a daily decline greater than 9%.…
This document summarizes research on two equity-market questions. The first uses China’s IPO approval process as a natural experiment to examine how a newly approved offering affects existing, substitutable stocks. It reports negative price effects around…
The article reviews research on the 2016 launch of Morningstar’s sustainability ratings for U.S. mutual funds. The ratings use portfolio holdings and company ESG scores to assign funds one to five stars within their categories; the star display appears more…