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 mainland Chinese stock screen targets non-ST main-board shares with turnover between 3% and 12% and circulating market value between 5 billion and 10 billion yuan. It adds a five-day limit-up style condition, described through checks of future…
This proposed stock screen selects non-Beijing A-shares with amplitude above one and ranks candidates by the day’s opening-auction amount, keeping the top five. Its rationale is that large amplitude may identify stocks with greater price movement, while high…
This document describes a Chinese equity screen for stocks associated with the metaverse theme. It combines positive net buying attributed to major participants during the opening auction with afternoon large-order net inflows. The accompanying indicator…
This document presents a Chinese stock screen requiring a prior-day appearance on the Longhubang trading activity list, a price amplitude above 1, and circulating market value above 200 million yuan. It describes amplitude as a measure of short-term movement…
This document describes a Chinese equity screen combining a turnover-rate range of 3% to 12%, a stock code beginning with 60, and seven consecutive daily declines during 2021. It provides formula and Python examples that operationalize those conditions,…
This stock-screening note proposes selecting shares in the metaverse industry when the current opening price is near the ten-day moving average and the prior day’s 9:15 matching price was at the daily limit-down level. It frames the average-price condition…
This Chinese-language strategy note describes a daily stock screen combining a 14-period RSI below 65, three consecutive bearish sessions, and turnover between 2% and 9%. It presents the conditions as a way to pair a momentum oscillator and recent price…
This stock screen looks for shares with MACD above zero, upward movement in short-term moving averages, and turnover within a stated range. The technical indicators are meant to identify upward conditions, while the turnover filter aims to exclude stocks…
This stock selection example combines a positive MACD reading and rising, diverging daily moving averages with filters for Shenzhen Main Board companies. It restricts price-to-earnings and price-to-book ratios to stated ranges, then suggests sorting…
The article proposes screening Chinese stocks in the metaverse theme using concurrent technical signals and a measure of large-order net buying. Its stated conditions are three upward crossovers—MACD over its signal line, price over the five-day average, and…
This document describes a Chinese equity screening rule combining turnover, displayed order-book volume, and intraday price range. It selects stocks with turnover between 3% and 12%, greater displayed bid volume than ask volume, and an amplitude threshold…
This introduction explains a one-period binomial model for a call option. The underlying asset starts at 100 and can move to either 110 or 90 by the next day; with a strike of 100 and interest rates set to zero, the call pays 10 in the up state and nothing…
This note describes a Chinese stock screen combining turnover between 3% and 12%, a daily gain greater than 1% relative to a market or sector comparison, and metaverse-related classification. It frames the method as a blend of price activity and thematic…
This note proposes screening Chinese equities for a daily trading range above 1%, activity during 2021, and a measure described as institutional buying. The example defines the institutional condition as a rolling 20-session measure where at least 20% of…
This note outlines a Chinese equity screen combining daily price range, a stock-code filter, and weekly MACD conditions. It selects shares whose high-to-low range exceeds 1% of the prior close, whose code begins with 60, and whose weekly MACD signal is above…
This stock-selection idea builds a watchlist from three conditions: daily price amplitude above one percent, at least one limit-up event in the prior 25 days, and a previous-day 09:15 matching price at the limit down. The accompanying rationale treats large…
This Chinese equity screening method evaluates stocks after each trading day’s close. It selects stocks whose MACD is above zero, whose price-to-earnings ratio is positive, and whose MACD is rising relative to the prior observation. The document presents the…
This Chinese equity screen selects stocks with an amplitude above 1, circulating market capitalization above 10 billion yuan, and no limit-up on the previous day. The stated rationale is to combine a volatility threshold with company size while excluding…
This daily stock screen combines a positive MACD reading with a ranking by individual-stock heat and moving-average confluence. The initial description calls for at least five overlapping moving averages, while the final proposed logic relaxes that condition…
This Chinese A-share screen selects main-board stocks with turnover between 3% and 12%, at least one limit-up event in the prior 25 days, and a daily close more than 1% above the previous close. The article also gives a formula reference and a Python example…
The document distinguishes two broad uses of multi-factor models: regression models, which focus on explaining outcomes, and ranking models, which aim to identify stocks with attractive returns. Within the regression approach, it describes two ways to obtain…
The document describes a Chinese stock screen that combines three filters: membership in the metaverse sector, positive institutional activity, and a positive price-to-earnings ratio. It presents the screen as a way to identify companies in a chosen theme…
This proposed equity screen looks for stocks with a stated amplitude threshold, at least one daily gain of 10% or more during the prior 25 trading days, and a positive price-to-earnings ratio. Its stated rationale is to combine elevated price movement and…
This stock-selection proposal targets Chinese equities associated with the metaverse concept. It screens for a volume ratio between 1.5 and 6 and a weekly moving-average crossover, then adds a positive price-to-earnings ratio below 150 in its final stated…