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 proposed Chinese stock selection rule combines a daily amplitude threshold, a prior-day 9:15 matching price associated with a limit-down condition, and a ranking by large-order net volume. The article frames the combination as a way to consider price…
This proposed Chinese stock screen combines a daily price-range threshold with a market capitalization cap, positive net profit, and a close above the prior day's low. The accompanying selection logic also includes minimum tradable market value and a…
The document describes a Chinese stock screen that combines a 2019 dividend ratio above 25%, daily price amplitude greater than 1%, and ranking by a stock heat measure. Its example code approximates the heat ranking using traded value and also applies…
This stock selection method filters Chinese equities in the metaverse industry using the previous day’s actual turnover rate and the current opening auction return. It selects stocks with turnover between 3% and 28% and auction returns between -2% and 5%.…
This document describes a Chinese equity screening rule combining daily range, a reversal condition, three consecutive down days, and a comparison of recent highs with a longer lookback period. Its final version also requires the highest price over the last…
The proposed equity screen combines intraday range, Bollinger Band position, and a specific opening-time price-change condition. It looks for stocks whose range exceeds its recent average, whose close lies between the middle and upper Bollinger Bands, and…
This stock-screening proposal combines a range condition, rising lows, and a long-term trend filter. It selects shares with amplitude above one, a rising bottom, and the prior close above the 250-day moving average. The suggested expanded version adds a…
This proposed stock screen looks for prior-session amplitude above the stated threshold, an opening price within a narrow band around the 10-day moving average, and a rising K value in the KDJ indicator that remains below its ceiling. The explanation treats…
This proposed equity screen selects stocks with MACD above zero, positive net profit, and a rounded price-recovery pattern. The document interprets positive MACD as evidence of an upward trend, profitability as a basic quality check, and the rounded shape as…
This stock-selection proposal combines a positive MACD reading, a favorable but undefined company-quality condition, and at least two limit-up events within the stated 500-trading-day lookback. The rationale is that positive MACD suggests an upward trend,…
This A-share stock screen selects candidates before each trading day’s open using three conditions: MACD above zero, price below 12, and RSI below 65. The document presents the rules as a technical filter intended to combine a positive trend signal with a…
This post outlines a China A-share screening approach focused on companies classified in the metaverse industry. Its final version combines a volume ratio between 1.5 and 6, market capitalization above one billion yuan, a top-100 relative-strength ranking,…
This Chinese-language post describes a stock screen combining three conditions: at least five moving averages converge, price-to-earnings ratio is positive, and the gain observed at 9:25 is below 6%. The post frames moving-average convergence as a sign of a…
The document proposes a stock screen for companies in the metaverse industry. It selects stocks whose opening price is near the 10-day moving average and whose latest close is above the previous close. It gives two implementations: a formula using industry…
This stock-selection proposal screens listed Shenzhen stocks using a turnover range of 3% to 12%, positive price-to-earnings ratios below 29.01, price-to-book ratios below 3.11, and a reversal-style price shape. Its reference implementation represents that…
This proposed daily screen targets stocks in the metaverse industry whose KDJ lines have just crossed upward and whose company has an outstanding convertible bond. It specifies screening before 10 a.m. and selecting stocks for that day’s trading. The…
The proposed daily pre-market stock screen combines a positive MACD reading with positive trailing price-to-earnings, current volume above a stated threshold, and an opening price above the prior close. The article interprets these filters as signs of upward…
This stock screen targets Chinese shares associated with the metaverse theme and above a stated circulating-market-value threshold. It looks for recent limit-up activity, with the final selection rule requiring at least two limit-up sessions in the last five…
This post proposes a technical screen combining five moving averages, an opening-period price-change filter, and a medium- versus long-term trend condition. It suggests using the 5-, 10-, 20-, 60-, and 120-day averages, requiring at least five averages to…
This Chinese stock-selection post describes a screen for metaverse-related equities that combines positive institutional-flow readings with buying activity from large and extra-large orders during the opening auction. It also filters for a price-move…
The post proposes a short-term A-share screening rule. It selects stocks classified in the metaverse sector that appeared on the previous day’s trading activity list, then requires the latest close to lie between the middle line and upper band of a 21-period…
This document describes a China A-share screening rule for companies classified in the metaverse industry. It combines a circulating share or float-size ceiling of 5.5 billion shares with a volume ratio above 1.5 and below 6. The volume ratio is described as…
This proposed short-term stock screen combines three conditions: price amplitude above a threshold, a rounded price pattern relative to recent prices, and a measure formed by multiplying price change by net volume from very large orders. The accompanying…
This proposed equity screen selects stocks based on an amplitude threshold, current trading volume above a stated level, a higher opening price, and a company-type condition. The accompanying analysis describes the screen as using price movement and volume…