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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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Strategy library
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MQL5 code base
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BigQuant
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Bitget Academy
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MQL5 articles
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TradingView scripts
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Deribit Insights
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Machine Learning for Trading
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arXiv papers
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Amberdata research
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FMZ forum
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FMZ digest
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vn.py community
560 dokumenter
QuantInsti blog
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Galaxy Research
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QuantStart
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Stratmill research code
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Robot Wealth
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NautilusTrader
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Hummingbot docs
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Paradigm research
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Kraken Learn
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Bibliotek for kvantkurs
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OctoBot
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Cryptohopper blog
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Systematic trading blog (Rob Carver)
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Qlib
116 dokumenter
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Quantpedia
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Hyperliquid docs
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Hudson & Thames
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Awesome Systematic Trading
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backtrader
54 dokumenter
vn.py
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Binance API docs
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Quantopian-forelesninger
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FMZ guides
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pysystemtrade
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Freqtrade docs
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quant-trading
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FinRL
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Zipline
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Jesse
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pyfolio
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Alphalens
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backtesting.py
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Technical Analysis
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QuantRocket
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Lumibot strategies
7 dokumenter
Awesome Quant
1 dokumenter

Søk i biblioteket

12,226 dokumenter

SuperMind

This note describes a short-term A-share selection rule combining three filters: intraday amplitude above 1, a top-five ranking by today’s opening-auction amount, and prior-day auction turnover above 0.26. It frames the combination as a way to find stocks…

AksjerKinesiske markederTekniske indikatorerMarkedsmikrostruktur
SuperMind

This stock-selection screen combines three conditions: daily amplitude above one, a top-five rank by the day’s auction amount, and rising lows. The rising-lows condition is described as comparing the minimum low over a shorter recent window with the minimum…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This post proposes selecting stocks with RSI below a stated ceiling, seven consecutive sessions in which the close is no higher than the open, and a share price below a specified level. The article frames the RSI and down-day conditions as technical filters…

Kinesiske markederAksjerTilbakevending mot gjennomsnittetTekniske indikatorer
SuperMind

This post describes a stock-selection screen for Chinese equities that requires MACD to be above zero, a rising 30-day moving average, and a company-type criterion intended to represent business quality. The technical conditions are presented as signs of…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

This post outlines an A-share stock screen combining a daily trading-range condition, a qualifying company type, and a dividend payout ratio above a stated threshold for 2019. It explains the range condition as a way to select stocks with price movement and…

Kinesiske markederAksjerFaktorinvesteringTekniske indikatorer
SuperMind

The post describes an equity screen combining a technical condition, a fundamental growth condition, and a market-activity condition. It selects stocks with RSI below 65, year-over-year growth in parent-company net profit above 20% and at most 100%, and a…

AksjerTekniske indikatorerMomentumFaktorinvestering
SuperMind

This opinion article argues that retail traders face disadvantages against quantitative firms in short-term trading because of differences in data processing, execution speed, and trading infrastructure. It describes how large orders can be divided into many…

AksjerKinesiske markederHøyfrekvenshandelMarkedsmikrostruktur
SuperMind

This note outlines a Chinese equity screen combining price amplitude above 1, exclusion of ST-designated stocks, selection before 10 a.m., a five-session price-pattern condition, and seven consecutive declining sessions. It provides formula and Python…

AksjerTekniske indikatorerMomentum
SuperMind

This Chinese stock-screening note describes selecting equities with turnover between 3% and 12%, seven consecutive declining sessions, and a closing price above the five-day moving average. Its formula and Python example also check that the latest close is…

AksjerTekniske indikatorerMomentum
SuperMind

This note proposes screening stocks for daily amplitude above 1%, a 2021 date condition, and return on equity above 15% for five consecutive years. Its final version adds valuation limits of price-to-earnings below 30 and price-to-book below 5. The rationale…

AksjerKinesiske markederFaktorinvesteringVolatilitet
SuperMind

This proposed Chinese equity screen selects main-board stocks whose codes begin with 60, with RSI below 65 and a daily gain above 1%. Its examples describe a technical filter that also checks a stochastic-style J/D crossover and proximity of the opening…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This note describes an A-share stock screen combining daily price amplitude above 1, a morning-star pattern, and positive price-to-earnings ratio. It presents the pattern as a short-term technical signal and positive P/E as a basic profitability filter. It…

AksjerKinesiske markederTekniske indikatorerVolatilitet
SuperMind

This Chinese A-share screening proposal targets stocks in the metaverse concept group. It requires the closing price to exceed its five-day moving average and applies a bounded filter based on prior-day turnover and current auction volume relative to traded…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This article outlines a Chinese A-share stock screen beginning with companies classified in a metaverse sector, positive recent returns, and a daily high-low range greater than one percent of the prior close. It then proposes refining the selection to stocks…

Kinesiske markederAksjerTekniske indikatorerRisikostyring
SuperMind

This A-share screening idea combines a price-range condition, a short-term trend filter, and a measure that relates yesterday’s turnover to today’s auction volume versus yesterday’s volume. It selects stocks whose average price is above the five-day moving…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

The document outlines a Chinese stock screen requiring daily high-low amplitude above 1%, a positive measure of prior-day main-fund flow, and RSI below 65, with the formula reference specifying a three-period RSI. It presents these conditions as a way to…

Kinesiske markederAksjerTekniske indikatorerTilbakevending mot gjennomsnittet
SuperMind

The document proposes screening Chinese stocks with RSI below 65, seven consecutive down sessions, and large-order net flow above 0.05 for at least three consecutive days. Its final version adds a market-capitalization range of 5–10 billion yuan, while the…

Kinesiske markederAksjerTekniske indikatorerStatistikk
SuperMind

This proposed Chinese equity screen selects stocks with a 14-period RSI below 65 and first-level buy volume greater than first-level sell volume, while excluding Beijing-listed shares. The article interprets RSI as a price-condition indicator and the…

AksjerKinesiske markederTekniske indikatorerMarkedssentiment
SuperMind

This stock screen combines turnover, recent price change, and the ratio of externally classified to internally classified trading volume. Its stated criteria are turnover from 3% to 12%, a positive ten-day gain below 35%, and an outside-to-inside volume…

AksjerKinesiske markederMomentumMarkedsmikrostruktur
SuperMind

The document presents a Chinese equities screening idea: select stocks with turnover between 3% and 12%, a positive return over the prior 10 days below 35%, and an opening price near the 10-day moving average. Its example code adds further filters, including…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This Chinese-language post proposes a stock screen combining price movement and liquidity conditions: an amplitude threshold, at least one large daily gain within the past 25 trading days, and turnover between 3% and 12%. It frames the screen as potentially…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The proposed stock screen selects shares with a daily high-low range of at least one percent and relative volume between 1.5 and 6 times its five-day average. It also filters on company or industry classification, with consumer and healthcare sectors offered…

AksjerTekniske indikatorerKinesiske markeder