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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 brief forum exchange addresses a quant workflow problem: a ZScoreNorm standardization step produces only missing values. The response explains that the operation performs cross-sectional normalization and suggests inspecting the input data for an…

StatistikkMaskinlæring
BigQuant

This summary of a Chinese brokerage factor-monitoring report compares recent performance across equity factors using several views: long-only excess returns, long-short returns, information ratios, and relative strength over roughly six months. Factors…

AksjerFaktorinvesteringTilbakevending mot gjennomsnittetMomentum
BigQuant

The article argues that durable trading depends on treating each trade as a planned decision rather than an impulse. It recommends defining entry rules, recording the reason and timing for each trade, waiting for qualifying signals, and setting exit plans…

RisikostyringStatistikk
BigQuant

This document summarizes long-run performance of Chinese equity factor portfolios and compares their results across market, economic, interest-rate, and volatility regimes. It reports that the portfolios had positive long-term returns, with size and…

AksjerFaktorinvesteringPorteføljekonstruksjonRisikostyring
BigQuant

This forum post raises a factor-data debugging question: why can an industry-neutralized price-to-book factor contain missing values when the raw factor appears complete? It identifies an industry-neutralization function applied using a first-level industry…

AksjerFaktorinvesteringStatistikk
BigQuant

This report surveys hedging choices for U.S. equity portfolios during drawdowns and recessions, drawing on a historical sample from 1985 through 2018. It contrasts rolling index puts and short credit risk with Treasury and gold exposures, then examines…

AksjerFuturesOpsjonerTrendfølgende handel
BigQuant

This article proposes a qualitative decision framework based on comparing broad market strength with the strength of individual stocks. It organizes conditions into four cases: when both market and stock are strong, favor stock exposure; when the market is…

AksjerMomentumRisikostyring
BigQuant

This article argues that LSTM models trained on historical prices can appear to forecast stocks accurately because predicted daily prices often remain close to the previous day’s price. When plotted against actual prices, this persistence can look…

AksjerMaskinlæringStatistikkHistorisk testing
BigQuant

This forum post reports a data-quality anomaly in the CSI 1000 constituent history: a query finds 1,001 component records for the index on July 26, 2023. It shows how to query the component table for dates from 2015 onward, then group records by date for the…

AksjerKinesiske markederStatistikk
BigQuant

This summary of a research report examines whether trade counts from tick-level transaction data can refine a traditional reversal factor in China’s order-driven A-share market. Trade count is defined as the number of matched transactions. The report says it…

Kinesiske markederAksjerTilbakevending mot gjennomsnittetFaktorinvestering
BigQuant

The article summarizes a method for extracting priced common factors from stock returns. First, a Fama-MacBeth cross-sectional regression uses several return-predictive characteristics to estimate stocks’ expected returns. Stocks are then sorted into…

AksjerFaktorinvesteringMaskinlæringStatistikk
BigQuant

The report uses Hong Kong Exchange disclosures on holdings associated with northbound Stock Connect trading seats to estimate stock positions and sector-level additions. It argues that aggregate flows can obscure differences among market participants, then…

Kinesiske markederAksjerFaktorinvesteringHistorisk testing
BigQuant

This opinion article argues that quantitative trading is a tool used by larger market participants rather than the primary force setting a stock's longer-term direction. It describes how large orders might trigger automated buying or stop-driven selling,…

AksjerMarkedsmikrostrukturTekniske indikatorerRisikostyring
BigQuant

This article outlines a reproduction of a research approach that predicts whether a stock’s closing price will rise or fall over a future horizon. It applies exponential smoothing to Apple daily price data, then builds a binary target from the price change…

AksjerMaskinlæringTekniske indikatorerStatistikk
BigQuant

The report summary examines whether stock momentum spreads among companies linked by industry, geography, supply chains, or similar technologies. For A-shares, it reports that portfolios formed on industry momentum had higher average monthly returns at the…

Kinesiske markederAksjerMomentumFaktorinvestering
BigQuant

This report excerpt describes a weekly framework for monitoring profitability and business conditions across selected primary and secondary industries in China's CITIC classification. It tracks trailing-twelve-month return on equity and places current…

Kinesiske markederAksjerStatistikkFaktorinvestering
BigQuant

This tutorial introduces bias, variance, and irreducible error as sources of prediction error. It relates model complexity to underfitting and overfitting: overly simple models tend to perform poorly on both training and test data, while overly complex…

MaskinlæringStatistikkHistorisk testing
BigQuant

This brief programming note explains how to convert numeric timestamps in JSON into calendar dates. It uses sample values that pair large timestamp integers with compact date representations, then shows the general conversion approach in JavaScript and…

Statistikk
BigQuant

The document introduces cointegration as a long-run relationship in which individually nonstationary series can have a linear combination that is stationary. It explains stationarity through stable statistical properties over time and contrasts it with…

ParhandelStatistikkTilbakevending mot gjennomsnittet
BigQuant

The article argues that mean and variance alone may miss information when market returns depart from a stable Gaussian pattern. It describes higher moments, especially odd-order moments, as potentially useful timing signals: their values reportedly expand…

AksjerKinesiske markederTekniske indikatorerStatistikk
BigQuant

This guide explains how long-short equity portfolios combine stocks expected to rise with stocks expected to fall. It discusses possible return sources, including security selection, market timing, and exposure to factors such as value, growth, momentum, and…

AksjerTilbakevending mot gjennomsnittetFaktorinvesteringPorteføljekonstruksjon
BigQuant

This discussion asks whether the maturation of China’s equity market will make quantitative investing harder. The concern is that institutional participation and competition may reduce behavioral inefficiencies and compress excess returns for both systematic…

AksjerKinesiske markederStatistikkMaskinlæring
BigQuant

This document describes a chart indicator that displays the MACD main line and signal line together with the MACD histogram. It is presented as a modification of the example MACD indicator included with MetaTrader 5. The fast and slow exponential moving…

Tekniske indikatorerAksjerHistorisk testing
BigQuant

The document summarizes a slack-based manager efficiency index (SMEI) for evaluating mutual fund managers as a whole rather than judging each fund in isolation. The data envelopment analysis framework treats risk, portfolio turnover, and a combined…

StatistikkFaktorinvesteringPorteføljekonstruksjonRisikostyring