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Kunskapsbibliotek

Sammanfattningar och huvudidéer från böcker, artiklar, forskningsrapporter och kod som våra AI-agenter har läst, skrivna av Stratmills researchagent. Varje sida länkar till originalet.

Quant Q&A
20,364 dokument
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12,226 dokument
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8,431 dokument
Strategy library
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MQL5 code base
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BigQuant
3,481 dokument
Bitget Academy
3,298 dokument
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3,012 dokument
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1,232 dokument
Machine Learning for Trading
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arXiv papers
1,033 dokument
Amberdata research
766 dokument
FMZ forum
682 dokument
FMZ digest
662 dokument
vn.py community
560 dokument
QuantInsti blog
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Galaxy Research
340 dokument
QuantStart
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Stratmill research code
219 dokument
Robot Wealth
195 dokument
NautilusTrader
191 dokument
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164 dokument
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Kursbibliotek för kvantitativ handel
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152 dokument
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144 dokument
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Hyperliquid docs
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backtrader
54 dokument
vn.py
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45 dokument
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FMZ guides
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pysystemtrade
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quant-trading
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FinRL
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Zipline
22 dokument
FMZ live strategies
21 dokument
Jesse
17 dokument
pyfolio
16 dokument
Alphalens
14 dokument
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14 dokument
backtesting.py
11 dokument
Technical Analysis
9 dokument
QTPyLib
8 dokument
QuantRocket
7 dokument
Lumibot strategies
7 dokument
Awesome Quant
1 dokument

Sök i biblioteket

3,481 dokument

BigQuant

This report summary introduces entropy pooling as a way to incorporate qualitative or quantitative views into a risk model by updating a probability distribution. It contrasts the approach with the Black–Litterman model, describing broader choices for risk…

StatistikPortföljkonstruktionRiskhanteringFlera tillgångsslag
BigQuant

The document summarizes research on weighting equity alpha factors through factor-mimicking portfolios (FMPs). It presents FMPs as an alternative representation of alpha signals under a stock covariance model, with linear combinations of factors…

AktierFaktorinvesteringPortföljkonstruktionStatistik
BigQuant

The research note explains how alpha factors can be represented through factor-mimicking portfolios (FMPs) under a stock covariance model. It describes translating linear combinations of alpha factors into corresponding combinations of FMPs, then choosing…

AktierFaktorinvesteringPortföljkonstruktionStatistik
BigQuant

This article outlines a directional strategy for Chinese equity index futures based on a schedule of daily long, short, or no-trade signals prepared in advance for the week. It describes opening an initial position around 10 a.m., adding to it around 2 p.m.…

TerminerKinesiska marknaderBacktestningOrderutförande
BigQuant

This report summary describes fundamental implied returns, or FIR, as a measure of fundamental momentum intended to use more information than conventional measures. FIR accounts for lagged fundamental variables and their time trends, and can be constructed…

AktierMomentumFaktorinvesteringStatistik
BigQuant

This overview presents fixed-income-plus investing as a way to seek steadier returns by combining bonds and equities. Its central portfolio argument is that historically low, often negative, correlations between Chinese stocks and bonds can let an…

Räntebärande värdepapperAktierFlera tillgångsslagPortföljkonstruktion
BigQuant

The document summarizes research on using corporate earnings-call transcripts to predict subsequent stock-price movements. Earnings calls contain management discussion of financial performance and information that investors and analysts may use when making…

AktierMaskininlärningMarknadssentimentStatistik
BigQuant

This research framework measures crowding in equity industries using price and trading activity. It groups candidate indicators into trend-oriented measures, including price deviation and moving-average dispersion; supplementary measures such as turnover,…

AktierKinesiska marknaderFaktorinvesteringMomentum
BigQuant

This study examines why publicly listed Asian companies disclose environmental, social, and governance information. Using panel data and regression models, it tests whether economic sustainability performance, profitability, leverage, and company size are…

AktierKinesiska marknaderStatistik
BigQuant

The document proposes adding a simple API to retrieve selected strategy performance metrics over a specified date range. Examples include the Sharpe ratio, annualized return, benchmark return, and alpha. The request responds to a gap between an existing…

BacktestningStatistikMaskininlärning
BigQuant

This stock-selection rule screens companies classified in the metaverse industry, requires the prior day’s actual turnover rate to fall between 3% and 28%, and looks for a weekly close crossing above its 30-week moving average. The rationale is that the…

AktierKinesiska marknaderTekniska indikatorerMomentum
BigQuant

The discussion explains that a supervised model learns from factors paired with labels, where a label defines the target. For stock selection, the target might be future returns over a chosen horizon. The model and label together determine what predictions…

MaskininlärningFaktorinvesteringAktierStatistik
BigQuant

This study examines how exposure to international trade relates to US stock returns. It uses industry transportation costs as a measure of globalization exposure, sorting stocks into portfolios and comparing their excess returns. The reported evidence…

AktierFaktorinvesteringAmerikanska marknaderPortföljkonstruktion
BigQuant

The document answers whether a factor can be neutralized for both market capitalization and industry exposure. It recommends including market capitalization as a continuous explanatory variable and industry membership as dummy variables in the same…

FaktorinvesteringStatistikAktier
BigQuant

This event study examines how Chinese A-share prices behave around formal earnings reports, especially when companies previously issued earnings forecasts. It compares reported results with forecast ranges and groups companies by forecast category or by the…

AktierHändelsedriven handelMomentumStatistik
BigQuant

This report applies behavioral finance to equity factor research, using the disposition effect and prospect theory to explain how investors' risk preferences may differ depending on whether they hold gains or losses. It constructs a capital gains overhang…

AktierKinesiska marknaderFaktorinvesteringBacktestning
BigQuant

This report compares groups of Chinese equity factors across industries, focusing on cash flow, valuation, size, momentum, liquidity, volatility, beta, and alpha. Its stated findings come from portfolio net value behavior, industry-level results, ranking…

AktierFaktorinvesteringStatistikMomentum
BigQuant

This BigQuant forum post discusses how to define a factor for stocks closing above their historical maximum high. The example query groups earlier price records by instrument and name to calculate a prior high, then compares a later close with that value.…

AktierUtbrottTekniska indikatorerKinesiska marknader
BigQuant

This study describes a grouped-factor approach to combining quality, growth, and value signals for A-share stock selection. A quality composite based on enterprise value and return on equity ranks stocks and defines a filtered universe for further selection.…

AktierFaktorinvesteringPortföljkonstruktionKinesiska marknader
BigQuant

This Chinese-language post outlines an equity screen for companies classified in the metaverse theme. It selects stocks whose actual turnover rate from two sessions earlier falls between 3% and 28%, and whose current control-related measure exceeds 21. The…

AktierKinesiska marknaderTekniska indikatorerRiskhantering
BigQuant

This research summary asks whether financial data vendors act as information intermediaries in equity markets. It focuses on FirstCall, a Thomson Reuters service, and whether the timing of its distribution of earnings information affects how investors…

AktierHändelsedriven handelMarknadsmikrostrukturStatistik
BigQuant

This research note summarizes a study of downside volatility as a measure of portfolio risk and compares it with conventional volatility. It reports that the measures are generally closely related, but their relationship weakens during historically turbulent…

VolatilitetRiskhanteringFaktorinvesteringPortföljkonstruktion
BigQuant

This 2020 research summary argues that the Shenzhen 100 could suit long-term allocation, describing it as a liquid large- and mid-cap index with both growth and blue-chip characteristics. It cites fundamentals reported at the time, including return on equity…

AktierKinesiska marknaderFaktorinvesteringPortföljkonstruktion
BigQuant

This Chinese-language knowledge post explains a mismatch in a sample trailing-stop calculation. The code obtains a holding duration by subtracting the position’s last sale date from the current date, which yields calendar days. It then passes that duration…

AktierRiskhanteringOrderutförandeBacktestning