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.
22,592 documents
The document outlines a Chinese A-share stock screen based on daily price amplitude, a closing price of 18.5 yuan, and association with the metaverse concept. It presents amplitude above one percent as a way to select more volatile shares, uses the fixed…
The document describes a simple two-candle rule for labeling bullish and bearish Harami patterns. It compares the prior candle’s open and close with the current candle’s open and close: a bearish prior candle followed by a bullish candle whose body lies…
The document describes a stock selection rule combining three filters: daily high-low range exceeding 1% of the previous close, a stock code beginning with 60, and a listing age above a stated threshold. It presents the first two filters as ways to find more…
This article describes an A-share stock screening rule that combines turnover between 3% and 12%, a newly formed KDJ golden cross, and weekly MACD above zero. It presents the combination as a way to screen for liquidity and technical strength, then gives…
This document outlines a short-term stock selection screen for Shenzhen Main Board shares. It combines a daily amplitude threshold above one with a condition described as main-force control on the prior day, then filters for price-to-earnings ratios from…
This proposed short-term stock screen combines intraday amplitude above 1%, current volume above 10,000 lots, a higher open, and IPO status in 2021. It is framed as a way to focus on active shares and market attention. The document includes a…
This screen selects main-board stocks using three conditions: intraday amplitude above 1%, a stated 2019 dividend ratio above 25%, and a daily gain above 1%. The reference formulas express amplitude as the high-low range relative to the open and calculate…
This stock-selection screen targets main-board shares outside the STAR Market. It combines turnover between 3% and 12%, a daily gain above 1% relative to comparable stocks, and a ratio of 2021 to 2018 revenue greater than 1.1. The accompanying indicator and…
The document outlines an equity selection rule combining amplitude above one, a rising bottom pattern, and a reversal or engulfing-style signal. It describes the first two conditions as ways to characterize price movement and the reversal condition as a…
The document describes a short-term stock screen combining three conditions: amplitude above one, MACD above the zero line, and today’s low below yesterday’s low. It interprets amplitude as a sign of volatility, positive MACD as a favorable signal, and the…
This report summary describes fundamental implied returns, or FIR, as a measure of fundamental momentum intended to use more information than conventional measures. FIR accounts for lagged fundamental variables and their time trends, and can be constructed…
This overview presents fixed-income-plus investing as a way to seek steadier returns by combining bonds and equities. Its central portfolio argument is that historically low, often negative, correlations between Chinese stocks and bonds can let an…
This stock screen combines a turnover band, an upward-moving DEA signal, and persistent positive large-order net flow. It targets A-share stocks with turnover between 3% and 12%, a rising DEA indicator, and large-order net amount above 0.05 for at least…
This stock-screening rule selects shares whose daily high-low range exceeds one percent, whose KDJ indicator has just formed a bullish crossover, and whose K value is below 20. The post interprets the range condition as evidence of substantial volatility,…
The document summarizes research on using corporate earnings-call transcripts to predict subsequent stock-price movements. Earnings calls contain management discussion of financial performance and information that investors and analysts may use when making…
This research framework measures crowding in equity industries using price and trading activity. It groups candidate indicators into trend-oriented measures, including price deviation and moving-average dispersion; supplementary measures such as turnover,…
This document describes a Chinese equity screen requiring a sizable trading range, at least one daily gain of 10% or more during the recent 25-session window, and exclusion of Beijing-listed A shares. The idea combines a volatility condition with evidence of…
This document outlines a Chinese equity screen for metaverse-related stocks. It selects shares with a previous-day actual turnover rate within a stated range and positive afternoon net buying by large orders. The proposed interpretation is that…
This document proposes a Chinese stock screen using three conditions: intraday amplitude above a threshold, a daily decline within a narrow band, and a previous day 9:15 opening match at the limit-down price. The rationale is that a sharp prior decline may…
This document describes a Chinese equity screen for metaverse-related stocks. It combines a close above the previous session’s low with specified price-to-earnings and price-to-book ranges, and limits the universe to Shenzhen main-board stocks. The…
This post describes a Chinese A-share stock screen combining three conditions: daily amplitude above 1%, a closing price of 18.5 yuan, and a positive MACD value. It frames these as a volatility filter, a fixed-price constraint, and a momentum or trend…
The strategy sorts U.S. stocks by price-to-book ratio to form a value portfolio. Within a universe limited in the implementation to the largest 3,000 stocks by market capitalization, it buys the lowest price-to-book quintile and shorts the highest. The…
The document outlines a stock-selection screen that ranks companies by money-flow strength, requires a dividend payout ratio above 25% in 2019, and selects stocks whose 30-day moving average is rising. It interprets stronger money flow as investor attention,…
This study examines why publicly listed Asian companies disclose environmental, social, and governance information. Using panel data and regression models, it tests whether economic sustainability performance, profitability, leverage, and company size are…