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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
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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
219 dokumenter
Robot Wealth
195 dokumenter
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
TqSdk
86 dokumenter
Quantpedia
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Hyperliquid docs
79 dokumenter
Freqtrade
68 dokumenter
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
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quant-trading
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FinRL
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Zipline
22 dokumenter
FMZ live strategies
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Jesse
17 dokumenter
pyfolio
16 dokumenter
Alphalens
14 dokumenter
WonderTrader
14 dokumenter
backtesting.py
11 dokumenter
Technical Analysis
9 dokumenter
QTPyLib
8 dokumenter
QuantRocket
7 dokumenter
Lumibot strategies
7 dokumenter
Awesome Quant
1 dokumenter

Søk i biblioteket

12,226 dokumenter

SuperMind

This stock screen combines three filters: daily amplitude above a threshold, a shrinking negative MACD histogram on a 15-minute interval, and positive indicators associated with beverage and alcohol imports and exports. The stated rationale is to seek…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This document proposes screening A-shares for turnover between 3% and 12%, total market value below 10 billion yuan, no reported losses, and free-float market value above 1 billion yuan. It frames the combination as a way to narrow the universe by trading…

AksjerFaktorinvesteringStatistikkKinesiske markeder
SuperMind

This document describes a stock-selection rule for A-shares using three conditions: price amplitude above 1%, a 2021 date filter, and best bid volume greater than best ask volume. It presents the rule as a way to identify more volatile stocks with potential…

AksjerVolatilitetMarkedsmikrostrukturTekniske indikatorer
SuperMind

This article describes a daily pre-market stock screen for Chinese equities. It selects stocks whose MACD value is above zero, whose trailing price-to-earnings ratio is positive, and whose observation falls in 2021. The article interprets positive MACD as an…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This post proposes an equity screen combining daily range above a threshold, rising lows, and price above its five-day moving average. Its expanded version adds a longer-term trend check using the 20-day and 250-day averages, valuation limits, market-cap…

AksjerTekniske indikatorerMomentumTrendfølgende handel
SuperMind

This post describes a short-term stock screen combining three prior-day conditions: price amplitude above 1%, appearance on the market’s named trading list, and turnover above 8%. The rationale is to find shares with notable movement and active trading,…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This introductory article explains the basic objects and notation of linear algebra used in machine learning and deep learning. It defines scalars, vectors, matrices, and higher-order tensors, with examples such as feature vectors, neural-network weights,…

MaskinlæringStatistikkPorteføljekonstruksjon
SuperMind

This document describes a short-term stock screen using three conditions: daily amplitude above a threshold, a high daily control measure, and a positive product between price change and net flow from very large orders. Its refined version also restricts…

AksjerMomentumTekniske indikatorerOrdreutførelse
SuperMind

This note describes a screen for A-shares whose codes begin with 60, whose turnover is between 3% and 12%, and whose top 20% of shareholders collectively hold less than 70% of shares. It presents these conditions as filters for liquidity and ownership…

AksjerKinesiske markederStatistikkRisikostyring
SuperMind

This note describes a stock screen for A-shares whose codes begin with 60, whose turnover is between 3% and 12%, and whose price-to-earnings ratio is positive. The code example obtains a current trading date and filters listed stocks using those criteria.…

AksjerKinesiske markederFaktorinvesteringRisikostyring
SuperMind

This proposed equity screen selects stocks with amplitude above 1, an RSI below 65, and prior-day turnover above 60 million. It combines a price-range measure with a momentum oscillator and a liquidity threshold, aiming to find stocks with activity while…

AksjerTekniske indikatorerMomentumVolatilitet
SuperMind

This proposed equity screen combines membership in the metaverse sector, a rounded price pattern, and a circulating share count capped at 5.5 billion. The article frames the float limit as a way to focus on relatively smaller stocks and suggests…

AksjerTekniske indikatorerKinesiske markeder
SuperMind

This stock-selection screen combines price amplitude above 1, a dividend-related payout ratio above 25% for 2019, and a rising-bottom condition. The explanation treats larger amplitude as a sign of greater trading opportunity, the dividend filter as a way to…

AksjerTekniske indikatorerVolatilitetRisikostyring
SuperMind

This Chinese equity screening rule ranks stocks by capital strength and requires more than two limit-up days in the past ten days. It also requires a nonempty name for an outstanding convertible bond. The article explains these conditions as signs of…

AksjerMomentumKinesiske markederTekniske indikatorer
SuperMind

This research summary reviews six studies on industry rotation and index enhancement in China. Its multi-factor framework considers expected and historical fundamentals, price and volume information, market leadership, and system-risk concentration. It…

Kinesiske markederAksjerFaktorinvesteringMomentum
SuperMind

The document proposes a Chinese equity screen requiring MACD to be above zero, the DEA signal line to be rising, and the ten-day return to be positive but below 35%. It presents the indicators as a way to identify favorable short-term trend conditions while…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This document is a structured metadata record about Lumiwealth and its Lumibot project. It identifies the organization as the project owner, describes Lumibot as a Python framework for building, backtesting, and deploying trading bots, and lists supported…

SuperMind

The document describes a Chinese equity screening rule combining three filters: turnover between 3% and 12%, a positive ten-day return below 35%, and year-over-year growth in net profit attributable to parent-company shareholders above 20% and at most 100%.…

AksjerMomentumFaktorinvesteringKinesiske markeder
SuperMind

This article outlines an equity screen combining membership in the Metaverse theme, positive net buying by large participants during the auction, and a moving-average trend condition. Its formula expresses the trend condition as the 30-day average above the…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This note describes a stock screening rule that combines a positive MACD reading, a company or concept filter, and a stochastic K value below 20. The intended logic is to select shares with an upward trend signal while looking for an oversold condition that…

AksjerKinesiske markederTekniske indikatorerTilbakevending mot gjennomsnittet
SuperMind

This note presents a short-term Chinese equity screen based on daily price range greater than 1, volume above 10,000 lots, an opening price above the previous close, and a reported increase in positions of at least 5%. It frames range, volume, and the…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This note proposes screening Chinese equities for turnover between 3% and 12%, a K reading below 20, and first-level bid volume greater than first-level ask volume. Its indicator examples also include additional filters for price, market capitalization, and…

AksjerKinesiske markederTekniske indikatorerMarkedsmikrostruktur
SuperMind

This note describes a short-term screen for Chinese equities associated with the metaverse theme. It combines a user-defined arc-shaped price pattern with current volume above 10,000 lots and an opening price above the previous session’s high. The article…

AksjerKinesiske markederTekniske indikatorerMomentum