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
The proposed screen selects stocks after the open when their five-period amplitude measure exceeds a threshold, the measured institutional participation rate changes materially from the prior day, and the share price equals a specified level. The document…
This stock-screening concept combines three filters: at least five moving averages converge, the stock appeared on the previous day’s exchange trading leaderboard, and it belongs to a recent listing period. The example moving-average horizons range from…
This Chinese stock-selection proposal combines a relative-strength index below 65, an external-to-internal trading-volume ratio above 1.3, and revenue growth from 2018 to 2021 above 10%. The author presents the mix as a way to bring technical conditions,…
The document outlines a Chinese equity screening idea combining three conditions: at least five moving averages converge, the opening price is near a ten-day average, and the quoted 9:25 change is below 6%. It argues that converging averages may indicate…
This stock selection approach combines moderate trading activity, recent price-limit events, and a cap on tradable shares. It screens for turnover between 3% and 12%, at least one limit-up event in the prior 25 days, and a float threshold stated as 5.5…
This post proposes a Chinese equities screening rule combining a relative strength index below 65, seven consecutive declining sessions, and a 2019 dividend payout measure above 25%. Its final version adds a market-value range of 5–20 billion yuan. The post…
This historical account explains how Bridgewater developed the All Weather approach from a broader effort to understand recurring economic relationships. Its core framework separates returns into cash, market beta, and manager alpha, then considers how…
This article presents a Chinese equity selection rule focused on stocks associated with the metaverse concept. Candidates must have a 30-day moving average that is rising and must not be listed on the STAR Market. The article gives screening logic in terms…
This article describes a Chinese equity screen combining daily price movement, a rising trend filter, a market capitalization ceiling of 10 billion yuan, and positive net profit. It frames amplitude above 1% as a way to find more volatile shares and a 20-day…
This strategy uses the range-based RSRS indicator to time exposure and rotate between large-cap and small-cap Chinese equity ETFs. It fits a rolling ordinary least squares regression of daily highs on lows, standardizes the recent regression slope, and…
The document describes a simple Chinese equity screening rule: select stocks with a daily high-to-low range above 1%, a reversal-style candle condition called “fanbao,” and a high equal to the maximum over the current and prior day. It presents the rule as a…
This Chinese equity screen selects stocks with turnover between 3% and 12%, excludes Beijing-listed shares, and limits circulating share count to 5.5 billion. The article also discusses combining these filters with company and industry information, valuation…
This stock-selection outline screens Chinese equities for a daily price amplitude above 1, a listing history longer than one year, membership in a robotics concept group, and circulating market value below 10 billion yuan. It describes joining listed-company…
This post presents a weekly China A-share selection screen combining three conditions: a five-period amplitude measure above one, a change in a proxy for institutional volume activity, and a positive weekly price and volume pattern. The last condition…
This Chinese stock-screening article proposes selecting shares with a daily range above a threshold, rising lows, positive institutional buying, and a 20-day moving average above the 250-day average. It also excludes special-treatment stocks and describes…
This Chinese stock-screening note describes a technical filter combining daily price range, Bollinger Bands, and recent returns. It seeks stocks with a price range above a 20-day average, a close between the Bollinger middle and upper bands, and a positive…
This Chinese stock screening idea selects companies in the metaverse sector with a volume ratio between 1.5 and 6 and a prior-day appearance on the Dragon and Tiger List. The article frames these filters as a way to find active stocks attracting attention.…
This FAQ explains how an exchange prevents a user’s orders, or orders from accounts sharing a trade group, from matching against each other. It describes the available outcomes: allow the match, expire the taker or maker order, expire both, decrement both…
This Chinese stock selection note proposes combining three conditions: prior-day price amplitude above 1%, appearance on the previous day’s 龙虎榜 (a list of stocks with notable trading activity), and a newly formed bullish KDJ crossover. The rationale is that…
This post outlines a Chinese equity screen for stocks classified in the metaverse sector. It requires a positive recent return and a MACD histogram value below zero two sessions earlier. The stated rationale is to combine sector membership and a positive…
This Chinese-language post describes an equity screen combining a relative strength index below 65, seven consecutive down sessions, and return on equity above 15% for each of five consecutive years. It presents the RSI and price streak as technical filters…
This stock-selection rule looks for shares with daily amplitude above 1%, an opening price within 2% of the 10-day moving average, and no prior-day limit-up. The article frames volatility as a source of potential short-term opportunity, the opening-price…
This note describes an equity selection rule using three conditions: a 14-period RSI below 65, bid-side volume greater than ask-side volume, and the 20-day moving average above the 120-day moving average. The RSI threshold is presented as a way to avoid an…
This note outlines an equity screen for metaverse-related stocks. It combines daily price amplitude above 1 with a condition that at least one trading day in the prior 25 sessions had a gain of 10% or more. The stated rationale is to find volatile shares…