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 Chinese equity selection approach combines three signals: at least two limit-up sessions within ten days, institutional-only seats appearing in exchange trading disclosures, and a high volume ratio, with the latter ranked among the top 100 stocks. The…
This note outlines a stock-selection approach that ranks companies by capital-flow intensity and market attention, then considers revenue growth by comparing 2021 revenue with 2018 revenue. The initial rule specifies a ratio above 1.1. The proposed final…
This proposed Chinese stock screen ranks candidates by capital strength, excludes stocks designated as special treatment, and combines a five-limit-up pattern with a ten-day return between zero and 35. The article presents these conditions as signs of buying…
This note describes a historical Chinese equity screen that combines an RSI reading below 65 with metaverse-sector membership and a 2021 date filter. The RSI condition is presented as a way to avoid stocks with especially strong short-term readings, while…
This Chinese equity screen combines a robotics industry theme, turnover, small circulating market capitalization, and appearance on the previous day’s trading leaderboard. The accompanying explanation treats leaderboard inclusion as a possible sign of market…
This article outlines a stock selection idea based on ranking stocks by capital strength and individual-stock popularity, while requiring the 9:25 opening gain to be below 6%. It interprets strong capital strength and high popularity as signs of attention,…
This note proposes an A-share stock screen using daily amplitude above 1%, a nonempty outstanding convertible-bond name field, and more than two limit-up days in a ten-day period. The suggested ranking orders candidates by the number of limit-up sessions.…
This note describes ranking stocks by capital-flow strength and individual-stock popularity, alongside a recent-return filter requiring a 10-day gain above zero and below 35%. It interprets stronger flows and higher attention as signs of market interest,…
This document describes a Chinese equity screen combining RSI, daily percentage change, and a measure of net inflow from very large orders. The stated selection logic requires RSI below 65, a product of daily change and large-order net inflow above a…
This opinion piece argues that the growth of algorithmic trading has weakened familiar short-term, sentiment-driven approaches in China’s A-share market. It recommends avoiding impulsive entries during sharp rises, considering staged buying after panic…
This market snapshot reviews crypto developments around Bitcoin’s reported all-time high and the passage of the GENIUS Act, alongside ETF flows, corporate treasury activity, futures open interest, long-short ratios, and funding rates. It describes a market…
This Chinese stock-selection note proposes filtering shares by three conditions: daily amplitude above 1, at least two limit-up sessions over the preceding 500 days, and circulating share capital no greater than 5.5 billion shares. The article treats…
This Chinese stock-selection idea screens for shares with MACD above its zero line, ranks candidates by individual-stock popularity, and applies a filter described as excluding certain prior-day engulfing patterns. The article says the screen is run after…
This Chinese A-share screening example combines an RSI ceiling of 65, the product of price change and a measure of very large order net volume, and exclusion of stocks that hit the daily limit the previous day. Its final stated rules add a price-to-earnings…
This article examines warning signs the author associates with dubious ICOs, using the UUU token as an example. It describes alleged practices such as presenting an overseas-facing team, promoting sales through Chinese-language groups, listing on a small…
This webinar overview introduces several Bitcoin and Ethereum measures that researchers might turn into trading signals. It groups them into market-cycle or valuation indicators, including Pi Cycle, Realized Cap, and the Bitcoin Yardstick; sentiment measures…
This guide describes connecting OctoBot to Reddit so it can monitor selected subreddits for posts about traded cryptocurrencies. When its forum evaluator is enabled, OctoBot applies VADER sentiment analysis to posts and creates coin-level summaries for use…
This post describes a Chinese equity screen combining a relative strength index (RSI) below 65 with circulating market value between 5 billion and 10 billion yuan. Eligible stocks are ordered by a stock-heat measure, presented as a ranking based on trading…
This summary of a Chinese financial-engineering report examines whether Northbound capital flows can inform A-share timing and portfolio selection. It describes fixed daily and weekly inflow or outflow thresholds, then a dynamically adjusted timing indicator…
The article presents a four-stage account of how quantitative traders might exploit retail attention around a fast-rising stock. It describes monitoring public sentiment and trading history to estimate likely stop levels, placing and canceling large pre-open…
This short-term A-share screening idea selects stocks classified in the metaverse theme that appeared on the prior day's trading leaderboard and have positive large-order net flow. The article frames leaderboard activity and order-flow ranking as signs of…
This proposed screen targets Shenzhen main-board stocks with a price-to-earnings ratio from 0 to 29.01 and a price-to-book ratio from 0 to 3.11, alongside a 9:25 a.m. gain below 6% and a reported increase in holdings above 5%. The article interprets the flow…
This proposed Chinese equity screen combines three signals: ten-day price appreciation above zero but below 35, positive afternoon net inflows from large orders, and ranking by capital intensity. The stated rationale is to find stocks with recent upward…
This article explains fear of missing out as the anxiety that a trader will miss a profitable opportunity, especially during fast-rising crypto markets. It links the feeling to urgency, price attention, social-media speculation, and unverified information.…