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.
4,510 documents
This equity screening proposal combines a price-amplitude threshold with institutional participation and positive net buying by major participants during the opening auction. Its final stated conditions specify amplitude above 1, institutional participation…
The document reviews crypto market conditions ahead of the Bitcoin halving and discusses how macroeconomic pressure may affect sentiment and options pricing. It points to higher Treasury yields and a stronger dollar as headwinds while noting that implied…
This screening rule selects Shanghai-listed stocks with a daily high-low range above 1% of the previous close, then sorts them by an individual-stock popularity measure. The article interprets the range threshold as a way to find more volatile names and…
This weekly report assesses Chinese equity-market sentiment after a sharp March decline and a subsequent rebound. Its composite sentiment score rose from 38 to 51, while the authors judged that near-term further weakness had become less likely, despite…
This report section examines Ethereum’s 2024 market structure using ownership concentration, holder and supply buckets, liquid balances, and valuation measures such as MVRV and NUPL. It compares Ethereum’s concentration patterns with Bitcoin’s and discusses…
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…
This research summary examines whether sell-side analysts’ earnings forecasts change as they issue more forecasts during a day. It frames decision fatigue as a shift from deliberate reasoning toward faster, more heuristic judgments. Using analyst forecast…
This article examines whether financial factors such as value, size, profitability, investment, and momentum can be timed using predictive signals. It groups candidate signals into financial conditions, economic conditions, investor sentiment, factor…
This short-term stock-selection proposal combines three conditions: MACD above zero, upward separation of the day’s moving averages, and an opening auction return between -2% and 5%. The indicators are intended to capture positive price momentum and…
This proposed A-share screen combines a market-cap ceiling, positive net profit, an RSI threshold, and positive afternoon large-order net inflows. The intended rationale is to pair a basic profitability constraint with a price indicator and a measure of…
This April 2020 market note combines valuation, trading activity, sentiment, sector flows, and style factor monitoring to assess Chinese equities. It describes subdued market turnover and relatively low overall valuations, while agriculture-related stocks…
This Chinese equity screening idea combines RSI below 65, first-level bid volume greater than first-level ask volume, and a rounded price pattern described as an arc. The article interprets the RSI threshold as identifying a potentially oversold condition,…
The document outlines nontraditional ways to study NFT projects, using CryptoPunks as its example. It proposes tracking unique holder wallets to gauge ownership distribution and concentration, and first-time buyers to assess whether new participants are…
This market report surveys Bitcoin’s first quarter of 2025, linking sharp price movements to macroeconomic developments, regulatory news, security events, and institutional activity. It discusses a peak near $109,000, subsequent pullbacks, a major exchange…
This stock-selection idea screens Chinese equities for four conditions: membership in the metaverse theme, positive net buying by large participants during the opening auction, a robotics concept association, and circulating market capitalization below 10…
This training overview outlines a proposed workflow for using multimodal large language models in quantitative investing. It combines time-series databases, knowledge graphs, and reinforcement learning in a pipeline that connects data, signals, and portfolio…
This Chinese equity screening proposal combines three conditions: market capitalization below 10 billion yuan, no history of losses, and positive net buying by major investors in the opening auction, alongside a stated threshold for the day’s increase in…
This document describes a Chinese stock screen using three main conditions: a 14-period RSI below 65, positive afternoon large-order net inflow, and an opening move under 6% relative to the prior close. Its final stated selection logic also ranks stocks by…
The document outlines a premarket stock screen for Chinese equities. It selects stocks with MACD above the zero line, excludes those that closed at the daily limit on the previous trading day, and ranks the remaining names by a measure of investor attention.…
This Chinese stock-screening example combines a technical threshold with price movement, large-order net volume, and a popularity ranking. It proposes selecting shares with RSI below 65, using the product of percentage change and large-order net volume as a…
This stock-selection rule combines three short-term conditions: daily amplitude above 1%, an opening price within about 5% of the 10-day moving average, and buying-side volume more than 1.3 times selling-side volume. The accompanying explanation interprets…
This post proposes screening Chinese stocks by daily price amplitude, a measure described as current-day shareholder control, and prior-day major-investor net buying. It presents the combination as a way to capture market sentiment and capital flows. The…
This post describes a Chinese equity screening idea that combines three criteria: a dividend payout ratio above 25% in 2019, strong capital activity ranked from high to low, and evidence of major-investor control on the prior day. It suggests turnover and…
This research summary examines whether extreme investor sentiment can help identify short-term industry allocation opportunities. It argues that industry valuation comparisons are difficult because sectors differ in profitability and asset intensity,…