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Kunnskapsbibliotek

Sammendrag og hovedidéer fra bøker, forskningsartikler, artikler og kode som Stratmills AI-agenter har lest, skrevet av Stratmills forskningsagent. Hver side lenker til originalen.

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Bibliotek for kvantkurs
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Søk i biblioteket

12,226 dokumenter

SuperMind

This stock-selection example screens China A-share names for three conditions: membership in the metaverse theme, a prior close at or above the 250-day moving average, and an opening auction return between negative two and positive five percent. The article…

Kinesiske markederAksjerTekniske indikatorerHistorisk testing
SuperMind

This document outlines an equity screen for main-board Chinese stocks with an RSI below 65, a daily price gain above 1%, and floating market capitalization greater than 10 billion yuan. The stated selection logic combines a technical indicator, positive…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This document describes a Chinese A-share screening strategy that combines trading activity, earnings growth, and institutional ownership. It selects stocks with turnover between 3% and 12% and year-over-year net profit growth attributable to parent-company…

AksjerKinesiske markederFaktorinvesteringRisikostyring
SuperMind

The document proposes screening stocks for a daily price range above a stated threshold, MACD above its zero line, and a ratio of outside-market to inside-market trading volume above 1.3. It interprets the range and MACD requirements as technical filters and…

AksjerKinesiske markederTekniske indikatorerMarkedsmikrostruktur
SuperMind

The document describes a Chinese stock screen that combines a metaverse classification with the beverage and alcohol import-export industry, then selects the five highest-ranked stocks by the day’s auction amount. It presents the conditions as an industry…

AksjerKinesiske markederOrdreutførelseRisikostyring
SuperMind

This stock-selection method screens for shares with a daily price range above 1%, a circulating share count no greater than 5.5 billion, and at least two limit-up events over the preceding 500 days. It is intended to combine volatility, a smaller share base,…

AksjerKinesiske markederKursbruddTekniske indikatorer
SuperMind

This short-term stock screen selects shares whose price range exceeds a threshold, whose reported volume exceeds 10,000 lots, that open above the prior close, and whose codes begin with 60. The document frames the range and volume conditions as signs of…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The post presents a Chinese stock screening rule using three conditions: today’s buying proportion must exceed a threshold, the day’s price change must remain within specified bounds, and the 20-day moving average must be above the 120-day average. This last…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This stock screen combines a metaverse industry classification with an upward-moving 30-day moving average and turnover between 3% and 12%. It aims to identify shares associated with a current sector theme, positive recent price direction, and trading…

AksjerTekniske indikatorerMomentumPosisjonsstørrelse
SuperMind

The post proposes a stock-selection screen for Chinese A-shares combining three conditions: daily high-low range above 1%, a newly formed KDJ crossover, and a rise of more than 5% in the K value. The rationale is that a larger range signals volatility, the…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This document presents an A-share stock screen requiring amplitude above 1%, weekly MACD above zero, and circulating market capitalization above 10 billion yuan. It gives formula examples and Python-style selection logic. The proposed rationale combines a…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This article examines how training-window length affects AI stock-selection models, comparing multi-year datasets with shorter windows and proposing rolling training and evaluation on a designated validation period. It reports that, in its experiments,…

MaskinlæringAksjerHistorisk testingStatistikk
SuperMind

This document describes an A-share stock screen combining amplitude above 1, a prior-day 9:15 matched price at the limit-down price, and a current-day maximum decline between 4% and 5%. It presents indicator formulas and illustrative Python-style selection…

AksjerKinesiske markederVolatilitetTekniske indikatorer
SuperMind

This screening approach selects stocks in the beverage and alcohol import or export sector with turnover between 3% and 12%, alongside a condition labeled as the start of a major upswing. Its formula defines that price condition as the current close…

AksjerMomentumTekniske indikatorerKinesiske markeder
SuperMind

This stock selection screen combines three conditions: a six-period RSI below 65, a 20-period moving average above the 120-period average, and association with the metaverse theme. The moving-average relationship is used as a trend filter, while the RSI…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This short-term stock-screening idea combines positive returns, capital-flow strength ranked from high to low, and a shrinking MACD histogram on a fifteen-minute chart. The document describes volume-related measures as proxies for buying or selling pressure…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This proposed stock screen combines three conditions: a daily price range above a stated threshold, positive afternoon large-order flow, and turnover within a specified band. The document presents these as signs of greater price movement, possible buying…

AksjerKinesiske markederTekniske indikatorerMarkedsmikrostruktur
SuperMind

This stock-screening approach combines membership in the metaverse theme with a minimum circulating market capitalization and a weekly moving-average crossover. It selects stocks when the five-week average crosses above the ten-week average, using the…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The document describes a technical screen for Chinese A-share stocks. It selects stocks with turnover between 3% and 12%, a newly formed bullish KDJ crossover, and a close at or above the 20-day moving average, with a date condition tied to 2021. The page…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This post describes a stock screen that combines a daily amplitude threshold, a weekly MACD condition, and a maximum share price. The intended candidates are low-priced stocks with sizable price movement and a positive MACD reading. It shows corresponding…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This Chinese-language post outlines a daily stock screen using three conditions: an amplitude measure above a threshold, institutional participation above a threshold, and a company type that meets selected criteria. It suggests that company characteristics…

AksjerTekniske indikatorerKinesiske markederRisikostyring
SuperMind

This screening idea selects Chinese stocks using three short-term signals: a high volume ratio, upward alignment or movement in the five-, ten-, and twenty-day moving averages, and more than two limit-up sessions within the prior ten days. The volume ratio…

Kinesiske markederAksjerMomentumKursbrudd
SuperMind

This Chinese stock-selection note proposes filtering shares by three conditions: daily amplitude above 1, at least two limit-up sessions over the preceding 500 days, and circulating share capital no greater than 5.5 billion shares. The article treats…

AksjerTekniske indikatorerMomentumMarkedssentiment
SuperMind

This Chinese stock-selection note combines three daily and weekly technical conditions: amplitude above 1, upward divergence among today’s moving averages, and weekly MACD above its zero line. The proposed rationale is that price movement and rising averages…

AksjerTekniske indikatorerMomentumKinesiske markeder