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
The document describes monthly stock-selection factors built from news sentiment. Summing a stock’s monthly article sentiment scores combines the direction of coverage with its volume, while averaging scores captures sentiment without the same direct…
This Chinese-language post describes an equity screen combining turnover, price change, and large-order net flow. It selects stocks with turnover between 3% and 12%, requires price change multiplied by very-large-order net flow to be positive, and ranks…
This derivatives newsletter connects macroeconomic news and investor sentiment with Bitcoin and ether market conditions. It discusses inflation and retail sales surprises, shifting expectations for Federal Reserve rates, equity volatility, and bullish…
The article presents a former investment employee’s account of how a controlling investor might build a position in a Chinese listed company, influence trading, and later sell into increased demand. The described sequence includes selecting a company,…
This Chinese stock-selection note describes a screen combining three conditions: turnover between 3% and 12%, best bid volume greater than best ask volume, and a stock that had three consecutive limit-up sessions on the previous day. The proposed rationale…
This selection rule filters for stocks classified in the metaverse industry during 2021 and then selects those appearing on the prior day’s trading leaderboard. The article frames the combination as a short-term way to find activity within a specific…
This article outlines a short-term stock screen combining a daily price-range threshold, a large-order net-flow ranking, and appearance on the previous day’s market activity list. It argues that range and large-order measures may capture trading activity and…
The article discusses why people who lose money gambling may keep playing in an effort to recover their losses. It relates this behavior to prospect theory: people may avoid risk when ahead but seek risk when behind. It also describes loss aversion, where…
This proposed Chinese equity screen combines three daily filters: price amplitude above one percent, a condition described as afternoon large-order net inflow, and a top-five rank by the day’s auction amount. It then selects the stock with the highest gain…
The document proposes screening Chinese equities for three conditions: amplitude above one, MACD above the zero line, and at least one limit-up event during the previous month. It interprets amplitude as a sign of sufficient price movement, MACD's position…
This Chinese equity screen targets stocks categorized as metaverse-related. It requires prior-day turnover above 8% and the current day's low below the previous day's low. The accompanying indicator description expresses the turnover condition as a ratio of…
This stock selection method filters for turnover between three and twelve percent, a positive relationship between price change and net super-large-order flow, and positive auction-related buying conditions. Its stated rationale is to favor liquid stocks…
This stock selection idea combines three filters: daily price range above one percent, afternoon buying pressure attributed to large orders, and a rising DEA with a rising MACD. The accompanying explanation interprets the range and order flow as signs of…
This stock-selection idea filters for mainboard companies associated with the metaverse theme, positive institutional-flow readings, and a daily gain greater than 1%. The document presents the method as a combination of thematic exposure, institutional…
This short-term stock screen combines a 14-period RSI below 65 with greater displayed buy-side than sell-side volume and a daily price change between -5% and 2.6%. It aims to find stocks that are not extremely overbought, show stronger buying interest at the…
This survey report summarizes attitudes among 1,030 U.S. adults who held both cryptocurrency and stocks. Respondents reported greater confidence in crypto than in stocks, and more said they would direct additional money to crypto or use it to preserve…
The article describes a workflow for finding S&P 500 healthcare companies that develop or use AI. It filters the index by industry, gathers recent company news, and uses a large language model to summarize products, technologies, and research activity.…
This post describes a Chinese equity screening rule that selects stocks with turnover between 3% and 12%, listing dates in 2021, and a stated increase in position or volume share above 5% for the current day. The author interprets the latter condition as a…
This market review attributes Bitcoin’s sharp early-2026 decline to several overlapping forces: hawkish policy expectations, cross-asset losses, regulatory news, leveraged liquidations, and weaker institutional demand. It describes a feedback loop in which…
This Chinese stock screening example combines three conditions: a large daily high-to-low range relative to the open, a dividend yield threshold based on 2019 data, and an appearance on the previous day's market activity list. The article frames the range as…
This post proposes a Chinese stock screen using an RSI reading below 65, the product of percentage price change and a measure of net large-order inflow, and positive institutional ownership or participation. Its example filter also requires positive…
The article explains how open interest can help traders assess activity, liquidity, sentiment, and possible trend strength in crypto derivatives. It recommends reading open interest alongside trading volume: increases in both may accompany a strong trend,…
This document describes a screen for Chinese stocks in the metaverse theme. It selects stocks whose opening price at 9:25 is less than 6% above the previous close and excludes stocks that reached the daily upper price limit on the prior session. The post…
This document outlines a Chinese main-board stock screen combining an RSI reading below 65, a daily gain above 1%, and a “reverse-wrap” or engulfing-style reversal condition. It presents the combination as a way to find stocks with positive short-term…