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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

This study treats a convertible bond as combining straight-bond value and embedded equity-option value, and examines how bond returns relate to the underlying stock. It reports positive return correlation across conversion-status groups, with average…

RentepapirerOpsjonerFaktorinvesteringPorteføljekonstruksjon
BigQuant

The document describes a stock-selection research task: detect a recent unusual move, then retrieve that event day’s opening price for use in a later buy condition. The example defines an event as trading volume more than twice the previous comparison value…

AksjerHendelsesdrevet handelHistorisk testing
BigQuant

The document introduces the Key Reversal technical indicator and names its inputs: closing, high, and low prices, along with lookback lengths and a day parameter. Its pseudocode defines a lower band from the lowest low over a selected window and an upper…

Tekniske indikatorerKursbrudd
BigQuant

The document gives a brief overview of artificial intelligence, from the field’s origins to its wider adoption as data, computing hardware, and algorithms advanced. It describes AI as systems that model aspects of human reasoning and notes its use in…

MaskinlæringMarkedssentimentPorteføljekonstruksjon
BigQuant

The article outlines a workflow for reconstructing and simulating a Chinese public fund’s equity holdings. It scrapes disclosed stock codes and portfolio weights for a China Merchants CSI 300 enhanced index fund, then assumes quarterly rebalancing: the…

Kinesiske markederAksjerMaskinlæringHistorisk testing
BigQuant

The research note introduces APB, a stock factor intended to estimate buying and selling pressure from the relationship between price and volume. It defines the measure as the logarithm of the ratio between an equally weighted average price and a…

AksjerKinesiske markederFaktorinvesteringStatistikk
BigQuant

This report summary compares two ways to classify the investment style of equity funds for fund-of-funds research. Holdings-based analysis infers style from reported portfolio positions, while returns-based analysis infers it from portfolio performance.…

AksjerPorteføljekonstruksjonStatistikk
BigQuant

This brief BigQuant forum answer addresses how to inspect the holding date for a particular stock position during a backtest. It points to retrieving the position from the backtest context by instrument and reading the position’s last sale date. That date…

AksjerHistorisk testing
BigQuant

The document summarizes research on stock resiliency, labeled RES, as an expanded measure of liquidity. The cited study examines whether stocks with greater illiquidity earn a return premium, using resiliency as an additional measure alongside conventional…

AksjerMarkedsmikrostrukturStatistikkFaktorinvestering
BigQuant

This daily futures strategy uses Bollinger Bands to signal directional trades when the close reaches or crosses an outer band. The middle band is an N-period simple moving average of closing prices, with upper and lower bands set by adding or subtracting K…

FuturesKursbruddTekniske indikatorerHistorisk testing
BigQuant

The note explains why a stock’s closing price shown on a quantitative trading platform can differ substantially from the price shown by a brokerage or market-data app. The platform adjusts historical price data to account for corporate actions, so the…

AksjerKinesiske markeder
BigQuant

This empirical study adapts the Fama–French five-factor framework to China’s A-share equities. It constructs market, size, book-to-market, profitability, and investment factors from monthly stock data, then forms size-sorted portfolios crossed with…

Kinesiske markederAksjerFaktorinvesteringStatistikk
BigQuant

This discussion addresses a strategy that runs successfully in backtesting but fails during a simulated live trial. A suggested cause is a missing-data processing step that removes every row because one or more columns contain empty values. The proposed…

Historisk testingStatistikk
BigQuant

This literature note summarizes research on whether individual investors favor mutual funds that have recently produced unusually large positive returns. The study defines a fund-level MAX measure of extreme gains and reports that funds with higher MAX…

MarkedssentimentStatistikk
BigQuant

This MetaTrader 5 expert advisor is designed to manage account equity and individual open trades, then place a grid of pending orders when price reaches a user-specified level. The trader must decide in advance where a grid would be appropriate; the EA does…

ValutahandelRutenettshandelOrdreutførelseRisikostyring
BigQuant

This research summary adapts Joel Greenblatt’s value-and-quality stock-ranking idea to China’s A-share market. It uses EV/EBITDA as a valuation measure and ROIC as a business-quality measure in place of the original formula’s measures. The described screen…

AksjerKinesiske markederFaktorinvesteringHistorisk testing
BigQuant

This report outlines a framework for studying rotation among five Chinese equity style pairs: large and small cap, value and growth, consumption and cyclical, financial and nonfinancial, and technology and traditional industries. It describes building…

AksjerFaktorinvesteringKinesiske markederStatistikk
BigQuant

This report summary describes three methods for rotating among equity industries using macroeconomic information. The first models industry excess returns from cyclical components of leading indicators spanning growth, inflation, trade, and liquidity. The…

AksjerKinesiske markederFaktorinvesteringPorteføljekonstruksjon
BigQuant

This research review examines whether sell-side analyst output matters more during economic downturns, when uncertainty makes company valuation harder for both analysts and investors. Drawing on earnings forecasts and stock recommendations over several…

AksjerStatistikkHendelsesdrevet handel
BigQuant

This study examines holdings reported by institutions using the Stock Connect channels into mainland China, comparing static position and daily increase factors. It reports that Morgan Stanley Hong Kong Securities had stronger historical information…

AksjerKinesiske markederFaktorinvesteringMomentum
BigQuant

The document compares Rust with C++, Java, Python, and Go for quantitative trading systems. It presents Rust as a way to reduce certain programming errors and support production debugging, while claiming that it offers performance close to C++, can use less…

HøyfrekvenshandelOrdreutførelseRisikostyring
BigQuant

The report proposes left- and right-tail conditional value-at-risk factors from intraday stock returns. For each stock, it describes measuring the average returns beyond the lower and upper 5% quantiles, then averaging daily values across a 20-trading-day…

AksjerVolatilitetRisikostyringFaktorinvestering
BigQuant

This article argues that a sharp bullish candle during a decline should be judged by the likely position and cost basis of the buyers behind it, rather than by candle size alone. It proposes a “3D” screen for small, low-float, low-priced stocks after a…

AksjerTekniske indikatorerKursbruddMarkedsmikrostruktur
BigQuant

This article proposes reading a stock’s volume ratio together with its turnover rate to assess changes in trading activity. It assigns interpretations to several combinations: turnover above 5% with a volume ratio of 2–3 as an early activity signal; turnover…

AksjerTekniske indikatorerMomentumMarkedsmikrostruktur