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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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20,364 dokumenter
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OKX Learn
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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
766 dokumenter
FMZ forum
682 dokumenter
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
191 dokumenter
Hummingbot docs
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Paradigm research
175 dokumenter
Lumibot
164 dokumenter
Kraken Learn
163 dokumenter
Bibliotek for kvantkurs
157 dokumenter
OctoBot
152 dokumenter
Cryptohopper blog
144 dokumenter
Systematic trading blog (Rob Carver)
132 dokumenter
Qlib
116 dokumenter
Quantpedia
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TqSdk
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Hyperliquid docs
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Freqtrade
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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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Quantopian-forelesninger
45 dokumenter
Binance API docs
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FMZ guides
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pysystemtrade
34 dokumenter
Freqtrade docs
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quant-trading
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FinRL
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Zipline
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FMZ live strategies
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Jesse
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pyfolio
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Alphalens
14 dokumenter
WonderTrader
14 dokumenter
backtesting.py
11 dokumenter
Technical Analysis
9 dokumenter
QTPyLib
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QuantRocket
7 dokumenter
Lumibot strategies
7 dokumenter
Awesome Quant
1 dokumenter

Søk i biblioteket

12,226 dokumenter

SuperMind

This stock-selection idea combines three daily price filters: a range threshold, exclusion of stocks that hit the upper price limit on the previous day, and a current low above the preceding low. The stated rationale is to seek active shares with rising…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This article proposes screening Chinese equities using three kinds of signals: RSI below 65, the product of price change and the net ratio of very large order flow above 1, and year-over-year growth in net profit attributable to parent-company shareholders…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering
SuperMind

This article describes an A-share stock screen combining turnover, a newly formed KDJ golden cross, and the prior day's actual turnover. Its final rule also requires market capitalization above one billion yuan, current turnover between 3% and 12%, and…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The document outlines a Chinese A-share stock screen that ranks candidates by volume ratio, filters for prior-day turnover between 3% and 28%, and requires the 9:25 opening change to be below 6%. It interprets the ranking as a way to favor stocks with…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This post proposes screening Chinese stocks for a large daily amplitude, a prior-day condition labeled as main-force control, and a current low below the previous day’s low. The rationale is to find volatile stocks with presumed large-player support that…

AksjerKinesiske markederTekniske indikatorerTilbakevending mot gjennomsnittet
SuperMind

This stock screen combines a daily price range above 1%, market capitalization no greater than 10 billion yuan, positive profitability, and a bullish moving-average signal described as a weekly red bar. The Python example interprets profitability as positive…

AksjerMomentumTekniske indikatorerKinesiske markeder
SuperMind

This stock-selection idea combines a daily amplitude threshold above 1% with a weekly positive MACD-style signal, then ranks qualifying stocks by a volume-based heat measure. The article describes the weekly red bar as a short-term upward signal and treats…

AksjerMomentumTekniske indikatorerMarkedssentiment
SuperMind

This screen selects Chinese equities with a daily high-low range above 1%, a low price between 4% and 5% below the previous close, and turnover between 3% and 12%. The author interprets the range as a sign of elevated volatility, the steep decline as a…

AksjerVolatilitetTilbakevending mot gjennomsnittetTekniske indikatorer
SuperMind

The document presents a Chinese A-share stock screen that selects main board names with turnover between 3% and 12%, a daily gain above 1%, and circulating market capitalization above 10 billion yuan. It provides indicator-formula references and a Python…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This document describes a Chinese equity screen that combines daily price range, sustained profitability, and dividend payout history. The initial rule requires amplitude above 1, return on equity above 15% for five consecutive years, and a dividend payout…

AksjerFaktorinvesteringRisikostyringKinesiske markeder
SuperMind

This document presents a Chinese equity selection rule combining daily price amplitude, a price threshold, and historical revenue growth. The stated conditions are amplitude above 1, closing price below 20, and 2021 revenue more than 1.1 times 2018 revenue.…

AksjerTekniske indikatorerKinesiske markederHistorisk testing
SuperMind

This document describes a Chinese equity screen using three filters: RSI below 65, 2021 revenue more than 1.1 times 2018 revenue, and a positive 10-day gain below 35%. It proposes selecting the first N qualifying stocks and holding them for a year. The…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This Chinese-language post outlines a stock screen based on three filters: daily price amplitude above a threshold, circulating market capitalization above a threshold, and prior-day trading activity above a threshold. It frames amplitude as a sign of active…

Kinesiske markederAksjerTekniske indikatorerMarkedsmikrostruktur
SuperMind

This Chinese-language post describes a daily stock-selection screen that looks for MACD above zero, ranks candidates by market attention, and limits eligible shares to a stated range of circulating market capitalization. It gives a brief rationale: MACD is…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This Chinese stock-screening post describes a rule combining a 14-period RSI below 65, membership in the beverage and alcohol import-export industry category, and a positive daily MACD reading. The author presents the filter as a way to find stocks that may…

AksjerTekniske indikatorerMomentum
SuperMind

This Chinese stock-screening post proposes combining amplitude above 1, a shortening negative MACD histogram on a 15-minute chart, and a volume ratio between 1.5 and 6. The rationale is to find volatile shares with active trading while a bearish MACD…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This post presents an A-share stock selection rule that combines a daily high-low range threshold, a newly formed KDJ crossover, and a close between the Bollinger middle and upper bands. It supplies example implementations in a charting formula language and…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese-language post outlines an equity screening strategy combining a positive MACD condition, descending money-flow strength, a market-cap ceiling of 10 billion yuan, positive earnings measures, and ROE above 10. Its accompanying Python example…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This document presents a preliminary stock-selection screen combining daily price amplitude above a threshold, a positive weekly MACD histogram, and a K indicator reading below a threshold. It frames the combination as a way to find stocks with possible…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This stock-selection rule screens for amplitude above 1, large-order net volume above 0.05 for at least three consecutive days, and a stochastic K value below 20. The article frames the range and net-flow measures as signals related to market sentiment and…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This stock-selection idea combines three signals: ranking shares by volume ratio, requiring large-order net volume to remain above 0.05 for at least three consecutive days, and looking for a shortening negative MACD histogram on a 15-minute chart. The…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The document describes a short-term A-share stock screen combining turnover, market capitalization, profitability, and the price move observed at the market open. It selects shares with turnover between 3% and 12%, market value below 10 billion yuan, no…

AksjerKinesiske markederMomentumTekniske indikatorer