Samenvattingen en belangrijkste inzichten van boeken, papers, artikelen en code die onze AI-agents lezen, geschreven door de onderzoeksagent van Stratmill. Elke pagina verwijst naar het origineel.
12,226 documenten
This Chinese equity screen combines three short-term technical conditions: daily price amplitude above 1, prior-day actual turnover between 3% and 28%, and a positive Morning Star candlestick signal. It presents amplitude and turnover as measures of price…
This Chinese equity screen combines trading activity with a recent price event. It selects stocks with turnover between 3% and 12%, requires at least one limit-up event during the preceding 25 days, and excludes stocks that hit the limit-up level yesterday.…
This note describes a Chinese equity screen for stocks classified in the metaverse industry, with circulating share capital capped at 5.5 billion shares and a daily gain greater than 1%. It presents the move as a way to focus on a popular theme and stocks…
The document outlines a Chinese equities screen combining turnover, recent price performance, and company classification. It selects stocks with turnover between 3% and 12% and a positive ten-day gain below 35%, while also applying a company-type condition.…
This document describes a stock screen combining several technical and trading conditions: at least five overlapping moving averages, current volume above 10,000 lots, a higher opening price, and an upward-sloping 30-day average. Its proposed final version…
This document outlines a stock selection screen for companies listed on China’s Shenzhen Main Board. It filters for price-to-earnings ratios from 0 to 29.01, price-to-book ratios from 0 to 3.11, and a dividend payout ratio above 25% in 2019, then ranks…
This proposed Chinese stock screen combines daily price amplitude above 1, a listing history longer than three years, and revenue for 2021 exceeding 2018 revenue by a ratio greater than 1.1. The article presents the revenue comparison as a basic growth…
This proposed equity screen selects stocks with turnover between 3% and 12% that have fallen for seven consecutive sessions and whose opening price lies between the current and previous ten-day moving averages. The author interprets the moving-average…
This proposed Chinese stock screen combines a positive MACD reading with a share price below 12 yuan and three consecutive limit-up sessions. The post frames MACD as a trend-strength filter and the limit-up sequence as a sign of market attention and buying…
This stock screener ranks shares by volume ratio and filters for an opening gain below 6% at 9:25. The post first gives a turnover range above 2% and below 9%, then proposes a revised range above 5% and below 10%. It presents the combination as a way to find…
This stock screen combines three conditions: daily high-low amplitude above 1% relative to the prior close, a trading date in 2021, and at least one limit-up-like close during the preceding 19 sessions. The document gives example implementations in a Chinese…
This weekly Chinese equity screen focuses on metaverse-related stocks. It selects companies that had a limit-up event within the preceding 25 days and have a positive institutional-activity reading, with selection described as taking place on Mondays for the…
This proposed Chinese equity screen combines three signals: RSI below 65, the ratio of outside-market to inside-market trading above 1.3, and weekly MACD above zero. The article describes the combination as a way to filter for stocks with favorable technical…
This proposed Chinese stock screen first looks for daily amplitude above 1% and a price above a rising, diverging moving-average condition. It then ranks qualifying stocks by a measure described as individual-stock attention. The article frames price range…
This stock screen combines daily price range, weekly MACD, market capitalization, and profitability. It selects Chinese companies with daily amplitude above 1%, weekly MACD above zero, market value below 10 billion yuan, and no losses according to positive…
This stock screen selects companies with a daily high-to-low range of at least one price unit, return on equity above 15% in each of five years, and a closing price below 12. The note presents the range threshold as a way to include more volatile shares, the…
This stock selection note combines three filters: rank candidates by a capital-strength measure such as turnover or volume ratio, select shares whose daily loss is between 4% and 5%, and require the 20-day moving average to be above the 120-day average. The…
The proposed equity screen combines three filters: membership in a metaverse-related theme, a prior-day share price above its 250-day moving average, and top-of-book bid volume greater than ask volume. The document interprets the moving-average condition as…
The proposed screen selects stocks associated with the metaverse industry when three bullish indicator crossovers occur together: MACD crosses its signal line, the five-period moving average crosses the ten-period average, and the five-period average crosses…
This stock screen combines a market capitalization ceiling, a turnover range, a positive earnings condition, and an upward moving-average ordering. The stated formula uses the five-day average above the ten-day average and the ten-day average above the…
The document describes a short-term stock screen combining a beverage and alcohol industry filter with MACD conditions. It seeks stocks with MACD above zero and a shortening 15-minute histogram, then gives a sample implementation using historical bar data…
The document proposes a Chinese A-share stock screen combining a relative strength index below 65, a ratio of external to internal trading volume above 1.3, and a share price below 12. It presents the rules as a way to combine a technical condition, a…
This screening example selects stocks with turnover between 3% and 12% and positive gains over a stated recent period, capped below 35%. It also refers to stocks that performed well in 2021. The accompanying pseudocode adds implementation filters, including…
This stock-screening example pairs a 15-minute MACD histogram whose negative bars are getting shorter with a prior-day trading-value threshold above 60 million. The stated ranking criterion orders candidates by descending capital intensity, although the…