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 A-share screening strategy combines daily price and trading activity conditions with a weekly trend signal. It selects stocks whose amplitude exceeds the stated threshold, whose prior-day turnover rate multiplied by the ratio of today’s opening-auction…
The document proposes a short-term stock screen combining price movement with trading activity. It selects shares whose amplitude exceeds a threshold, whose price at the 9:25 observation is below a stated gain limit, and whose external-to-internal volume…
This strategy rebalances on the first trading day of each month, removes special-treatment stocks and shares listed on the STAR Market or Beijing Stock Exchange, then invests equally in the 30 stocks with the smallest market capitalizations. It has no…
This note proposes screening Chinese shares for turnover between 3% and 12%, a positive but less than 35% return over ten days, current volume above 10,000 lots, and a higher open. The sample code also applies exclusions for certain listing boards and…
This note describes a Chinese equity screen requiring turnover between 3% and 12%, circulating share count no greater than 5.5 billion, and no limit-up close on the prior day. Its accompanying Python example uses turnover, circulating market capitalization,…
This post outlines a simple daily stock screen for Chinese equities. It selects stocks whose MACD indicator is above zero and whose prior-day opening-auction turnover rate exceeds a stated threshold, then ranks candidates by stock popularity. The screen is…
This Chinese-language post proposes screening mainland Chinese stocks using three conditions: daily high-low amplitude above one percent of the previous close, a positive large-order net-volume measure, and a negative change in the prior day’s 9:15 matching…
This stock screen selects shares with daily range above one percent, a positive ten-day return below thirty-five percent, and ranks candidates by the product of daily price change and net volume from very large orders. The document frames the range filter as…
This stock-selection idea first limits the universe to companies classified in the metaverse industry. It then looks for an opening price near the ten-day moving average and uses a 15-minute MACD histogram that is still below zero but is contracting as a…
This Chinese-language article outlines an equity screening strategy for the metaverse sector. It selects stocks with a MACD bullish crossover, ranks candidates by money-flow strength, and excludes a designated board of stocks. The article also gives an…
This stock-screening approach combines a technical condition with company and valuation filters. It selects Shenzhen main-board shares whose MACD is above zero, whose company quality is considered favorable, and whose price-to-earnings and price-to-book…
This selection method screens for stocks with turnover within a specified band, a reversal-style price pattern, and a high rank in large-order net buying. The article describes the flow ranking as a way to incorporate market participation and capital…
This stock screen selects robot-themed companies using three filters: a daily high-low range condition, positive institutional fund-flow measures, and circulating market value below a stated ceiling. The accompanying examples describe aggregating recent net…
This stock-selection screen combines a daily price-range condition, a minimum circulating market value, and a profitability filter requiring return on equity above a stated threshold across five years. The document presents the combination as a way to find…
This note presents an equity screen for stocks whose codes begin with 60, whose 20-day moving average is above the 120-day average, and whose multiple moving averages cluster closely together. The initial description calls for at least five overlapping…
This note describes a stock screen for shares whose codes begin with 60. It selects stocks with a daily high-low range above 1% of the previous close, greater displayed buy-one volume than sell-one volume, and market capitalization of at least 1 billion…
This Chinese stock-selection post proposes combining a turnover range, an imbalance between aggressive buying and selling, and recent limit-up activity. Its prose specifies turnover between 3% and 12%, an outside-to-inside market volume ratio above 1.3, and…
This Chinese stock-selection note describes screening shares in the metaverse sector using an opening-session price condition and a ranking by capital-flow strength. The stated rule selects stocks whose 9:25 gain is below 6%, then prioritizes higher fund…
The document presents a Chinese stock screen for companies associated with the metaverse theme. It selects stocks appearing on the prior day's exchange leaderboard and applies a circulating-share limit; the detailed formula narrows the float to between 3…
The document describes a Chinese equity screen combining positive MACD, revenue growth, a market-cap ceiling of 10 billion yuan, and positive net profit. Its intended rationale is to pair upward price momentum with business growth and current profitability.…
The document describes an equity screen combining at least five overlapping moving averages, positive earnings, and a market capitalization capped at 10 billion yuan. Its proposed expanded rules also require five consecutive profitable quarters, a…
This Chinese-language article describes an equity selection approach that sorts by capital strength, using measures such as turnover and volume ratio, while filtering for companies with market capitalization at or below 10 billion yuan, no losses, and a…
This Chinese-language article outlines an equity screen requiring MACD to be above zero, price-to-earnings ratio to be positive, and the MACD signal line, DEA, to be rising. It interprets these conditions as combining a bullish technical state, a positive…
The document describes a stock screen restricted to the metaverse industry. It selects shares whose closing price is above the five-day moving average and whose opening price lies within a band around the ten-day moving average. The stated intent is to…