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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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ProRealCode
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Deribit Insights
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Machine Learning for Trading
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arXiv papers
1,033 dokumenter
Amberdata research
766 dokumenter
FMZ forum
682 dokumenter
FMZ digest
662 dokumenter
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
195 dokumenter
NautilusTrader
191 dokumenter
Hummingbot docs
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Paradigm research
175 dokumenter
Lumibot
164 dokumenter
Kraken Learn
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Bibliotek for kvantkurs
157 dokumenter
OctoBot
152 dokumenter
Cryptohopper blog
144 dokumenter
Systematic trading blog (Rob Carver)
132 dokumenter
Qlib
116 dokumenter
TqSdk
86 dokumenter
Quantpedia
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Hyperliquid docs
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Freqtrade
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Hudson & Thames
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Awesome Systematic Trading
61 dokumenter
backtrader
54 dokumenter
vn.py
50 dokumenter
Binance API docs
45 dokumenter
Quantopian-forelesninger
45 dokumenter
FMZ guides
38 dokumenter
pysystemtrade
34 dokumenter
Freqtrade docs
32 dokumenter
quant-trading
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FinRL
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Zipline
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FMZ live strategies
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Jesse
17 dokumenter
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 note describes a stock screen using three signals: at least five moving averages converging, turnover within a specified range, and more than two limit-up days over a recent window. Its discussion frames clustered averages as relatively stable price…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This note outlines a stock screen combining three conditions: RSI below 65, revenue in 2021 more than 1.1 times revenue in 2018, and shrinking negative MACD bars on a 15-minute interval. It presents the approach as a mix of fundamental growth and technical…

AksjerKinesiske markederTekniske indikatorerStatistikk
SuperMind

This note proposes screening stocks for convergence among five moving averages: 5, 10, 20, 30, and 60 days. It combines that condition with a positive but capped 10-day price gain and an upward-sloping 30-day average. The explanation treats clustered…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This note describes an A-share stock screen requiring a robotics concept classification, turnover between 3% and 12%, circulating market value below 10 billion yuan, and a listing date in 2021 or later. Its rationale is that newly listed robotics stocks may…

AksjerKinesiske markederTekniske indikatorer
SuperMind

This Chinese equity screen selects stocks with turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and a closing price below 12 yuan. The stated idea is to combine trading activity with proximity to a short-term average…

AksjerKinesiske markederTekniske indikatorer
SuperMind

This Chinese equity screen combines three technical conditions: at least five moving averages clustered together, an opening price near the 10-day moving average, and more than two limit-up sessions within the prior 10 days. The post describes clustered…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This note describes a Chinese equity screening rule that ranks stocks by trading volume or capital strength, requires a circulating market value above 200 million yuan, and excludes stocks whose gain at 9:25 exceeds 6%. The stated rationale is to favor…

AksjerKinesiske markederTekniske indikatorer
SuperMind

The document proposes a Chinese stock screen using three signals: rank by turnover as a proxy for capital activity, rank by net large-order volume as a measure of aggressive buying versus selling, and retain stocks whose indicated pre-open gain at 9:25 is…

Kinesiske markederAksjerMarkedsmikrostrukturMomentum
SuperMind

This Chinese equity screen combines a daily position-increase ratio above 5%, yesterday's closing price above its 250-day moving average, and a 20-day moving average above the 120-day average. The note interprets the position-change measure as a possible…

AksjerKinesiske markederTrendfølgende handelTekniske indikatorer
SuperMind

The proposed Chinese equity screen requires turnover between 3% and 12%, an opening price within 5% of the ten-day moving average, and a recently formed KDJ golden cross. The approach combines a trading-activity filter, a short-term price-location condition,…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese equity selection approach combines three signals: at least two limit-up sessions within ten days, institutional-only seats appearing in exchange trading disclosures, and a high volume ratio, with the latter ranked among the top 100 stocks. The…

AksjerKinesiske markederMomentumMarkedssentiment
SuperMind

This note describes a Chinese equity screening idea based on a turnover range of 3% to 12%, a circulating share count capped at 5.5 billion shares, and a nonempty name for an outstanding convertible bond. It frames turnover as a liquidity filter and bond…

AksjerKinesiske markederRentepapirer
SuperMind

This article outlines a Chinese equity selection approach that ranks stocks by capital-flow strength, requires a minimum circulating market value, and looks for repeated limit-up sessions over a recent window. Its expanded version adds valuation filters,…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This note presents a screen for main-board Chinese equities using a turnover range, a reversal or engulfing-style pattern, and a daily gain threshold. Its formula adds a mainland market listing condition and orders candidates by market capitalization. The…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This note describes a Chinese equity screen combining price movement, a morning star pattern, and a historical dividend threshold. It also references excluding special-treatment stocks and presents an indicator formula and a Python example intended to…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This stock-selection proposal combines a positive but limited 10-day gain, a concentration measure below 20%, and at least five overlapping moving averages. It defines concentration as the difference between a short moving average and a longer one, divided…

AksjerTekniske indikatorerStatistikkKinesiske markeder
SuperMind

The proposed screen looks for companies with market capitalization below 10 billion yuan and no reported losses, alongside a current trading volume above 10,000 lots, a higher open, and at least five overlapping moving averages. The article associates…

AksjerTekniske indikatorerRisikostyringKinesiske markeder
SuperMind

This proposed stock screen combines three conditions: the 20-day moving average is above the 120-day average, the stock is up more than 1% on the day, and its reported increase in holdings exceeds 5%. The article interprets the moving-average relationship as…

AksjerMomentumTekniske indikatorerKinesiske markeder
SuperMind

This stock screen combines daily price amplitude above 1% with turnover above 2% and no more than 9%, limited to trading dates in 2021. It is presented as a way to find shares with meaningful price movement and moderate trading activity. The document gives a…

AksjerVolatilitetTekniske indikatorerKinesiske markeder
SuperMind

This note describes screening Chinese main-board stocks for turnover between 3% and 12%, a reversal-style pattern called a rebound, and a ratio of outside-market to inside-market volume above 1.3. The proposed interpretation is that the reversal pattern…

Kinesiske markederAksjerTilbakevending mot gjennomsnittetTekniske indikatorer
SuperMind

This note proposes a short-term screen for Chinese stocks that combines turnover, a robot-industry classification, free-float market value, and auction-period order flow. It describes selecting stocks with turnover between 3% and 12% and float value below 10…

Kinesiske markederAksjerOrdreutførelseMarkedsmikrostruktur
SuperMind

This note outlines a stock-selection approach that ranks companies by capital-flow intensity and market attention, then considers revenue growth by comparing 2021 revenue with 2018 revenue. The initial rule specifies a ratio above 1.1. The proposed final…

Kinesiske markederAksjerFaktorinvesteringMarkedssentiment
SuperMind

This note describes a Chinese main-board stock screen combining turnover, a robot-industry theme, free-float market value, and past price highs. It selects stocks with turnover between 3% and 12%, float value below 10 billion yuan, and at least two instances…

Kinesiske markederAksjerKursbruddTekniske indikatorer