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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.

Quant Q&A
20,364 dokumenter
SuperMind
12,226 dokumenter
OKX Learn
8,431 dokumenter
Strategy library
7,910 dokumenter
MQL5 code base
7,090 dokumenter
BigQuant
3,481 dokumenter
Bitget Academy
3,298 dokumenter
MQL5 articles
3,012 dokumenter
TradingView scripts
1,976 dokumenter
ProRealCode
1,507 dokumenter
Deribit Insights
1,232 dokumenter
Machine Learning for Trading
1,124 dokumenter
arXiv papers
1,033 dokumenter
Amberdata research
766 dokumenter
FMZ forum
682 dokumenter
FMZ digest
662 dokumenter
vn.py community
560 dokumenter
QuantInsti blog
511 dokumenter
Galaxy Research
340 dokumenter
QuantStart
246 dokumenter
Stratmill research code
219 dokumenter
Robot Wealth
195 dokumenter
NautilusTrader
191 dokumenter
Hummingbot docs
181 dokumenter
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
86 dokumenter
Hyperliquid docs
79 dokumenter
Freqtrade
68 dokumenter
Hudson & Thames
62 dokumenter
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
31 dokumenter
FinRL
28 dokumenter
Zipline
22 dokumenter
FMZ live strategies
21 dokumenter
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

3,481 dokumenter

BigQuant

The article reviews a method for evaluating active mutual funds by adjusting performance first for factor exposures and then for the characteristics of stocks held. It begins with Carhart four-factor alpha, then uses either a cross-sectional regression on…

AksjerFaktorinvesteringStatistikkPorteføljekonstruksjon
BigQuant

This brief description introduces a strategy-rotation framework for adapting a portfolio to different market environments. It proposes tracking shifts in market style, identifying the style characteristics of individual strategies, and using quantitative…

Flere aktivaklasserPorteføljekonstruksjonRisikostyring
BigQuant

The document summarizes research proposing a portfolio-centered framework that brings ex ante and ex post attribution into one structure. It applies a consistent approach to explaining portfolio alpha, expected risk, and realized returns, broadening…

PorteføljekonstruksjonRisikostyringStatistikk
BigQuant

This brief summary of a factor-investing report reviews tests of capital-structure and solvency measures. For nine capital-structure factors, the report compares grouped portfolio performance, long-short returns, information coefficients, and Fama-MacBeth…

AksjerFaktorinvesteringStatistikkPorteføljekonstruksjon
BigQuant

The document summarizes research on whether actively managed equity funds earn stronger future returns when their trading increases the technological similarity of their holdings. It describes Active Technological Similarity (ATS), built from the overlap in…

AksjerFaktorinvesteringStatistikkPorteføljekonstruksjon
BigQuant

This summary compares financial growth signals and subsequent stock returns in overseas and Chinese markets. It defines asset growth as changes in balance-sheet items, including total assets, current assets, and inventory, and profit growth through measures…

Kinesiske markederAksjerFaktorinvesteringStatistikk
BigQuant

This report describes a fundamental equity quality framework spanning profitability, growth stability, earnings quality, cash flow, operating efficiency, and solvency. It screens factors for historical long-term return behavior, then builds a composite…

AksjerFaktorinvesteringStatistikkKinesiske markeder
BigQuant

This research summary reviews dynamic ways to allocate among equity style factors, contrasting them with static allocation and grouping methods by whether they rely on returns, risk, or both. It first builds the investable factor set: 28 underlying factors…

AksjerFaktorinvesteringPorteføljekonstruksjonRisikostyring
BigQuant

The document addresses a stock-selection model whose chosen stocks and reported backtest returns change when the backtest end date is moved forward by about twenty days. The explanation is that the training data differs across the runs. A model trained on a…

AksjerMaskinlæringHistorisk testingStatistikk
BigQuant

The document raises a question about comparing backtested factors when they produce different numbers of trades. Its example contrasts one factor with 100 trades and a 2:1 profit-loss ratio against another with 1,000 trades and a 1.5:1 ratio, asking whether…

StatistikkHistorisk testing
BigQuant

This report describes a stock rotation strategy that seeks timely events associated with excess returns. Its event factors cover shareholder actions, dividend policies, earnings forecasts and reports, growth measures, and private placements. The strategy…

AksjerHendelsesdrevet handelFaktorinvesteringStatistikk
BigQuant

The document examines relationships between half-hour returns in major Chinese equity indices and outlines intraday momentum and reversal trades. It reports stronger positive relationships among some afternoon intervals, a negative relationship between the…

AksjerMomentumTilbakevending mot gjennomsnittetStatistikk
BigQuant

This opinion article argues that quantitative trading has become entrenched in China’s A-share market despite retail investor criticism. It attributes its perceived advantage to rapid automated execution, access to data and signals, and institutional tools…

Kinesiske markederAksjerHøyfrekvenshandelMarkedsmikrostruktur
BigQuant

The report outlines portfolio attribution methods for stocks and bonds, using both holdings and return series. For equity holdings, it applies a multifactor framework to separate common-factor returns from idiosyncratic returns, then estimates portfolio…

AksjerRentepapirerFaktorinvesteringPorteføljekonstruksjon
BigQuant

This weekly Chinese equity market note combines market timing, sentiment, fund positioning, capital flows, and sector rotation. Its timing discussion uses an RSRS model on the Shanghai Composite, SSE 50, and ChiNext indexes. The model issued no new signals…

Kinesiske markederAksjerMomentumTekniske indikatorer
BigQuant

This report reviews ESG investing through active stock selection, benchmark optimization, and factor portfolios. It summarizes research using company ESG scores and components for five MSCI equity regions over 2010–2017, with quarterly portfolio rebalancing.…

AksjerFaktorinvesteringPorteføljekonstruksjonHistorisk testing
BigQuant

This research summary compares two ETFs tracking distinct China A-share indices focused on the ChiNext market. One index selects for quality and lower volatility, seeking financially sound companies with steadier price behavior. The other emphasizes growth…

Kinesiske markederAksjerFaktorinvesteringMomentum
BigQuant

This Chinese equity research note argues that quarterly profit growth alone can misidentify growth stocks. Small comparison-period earnings, denominator effects, and nonrecurring gains can create misleading growth rates. It proposes using analyst research…

Kinesiske markederAksjerFaktorinvesteringHendelsesdrevet handel
BigQuant

This 2018 research summary introduces China’s two-year government bond futures contract, covering its notional size, eligible delivery bonds, price limits, and minimum margin. It explains that the delivery basket’s remaining-maturity range is narrow, helping…

RentepapirerFuturesCarry-avkastningArbitrasje
BigQuant

The request specifies a stock factor backtest using a named factor table and factor. Factor values should be converted to ranks, with smaller values preferred. The intended universe is the CSI 1000, excluding Beijing Stock Exchange listings and ST-designated…

AksjerFaktorinvesteringHistorisk testingPorteføljekonstruksjon
BigQuant

This article outlines a workflow for creating custom equity-selection rules from platform factors. It illustrates price-location features based on recent highs and lows, then combines return, volume, and market-relative conditions into a screening rule. The…

AksjerFaktorinvesteringMomentumHistorisk testing
BigQuant

The article argues that robust quantitative trading depends less on choosing a factor or model in isolation than on a repeatable development process. It outlines a sequence: form a market-based hypothesis, analyze whether candidate factors distinguish…

FaktorinvesteringMaskinlæringHistorisk testingRisikostyring