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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 concerns how to use the previous day’s moving average in a quantitative feature expression. The original question compares a five-day mean of closing prices with a twenty-day mean and asks how to shift the five-day mean back by one…

Tekniske indikatorerStatistikk
BigQuant

This report discusses the Hong Kong listing of leveraged and inverse funds tracking the CSI 300, including a two-times long product and a one-times inverse product. It describes their use of swap contracts to maintain a fixed daily exposure and compares that…

AksjerKinesiske markederPrising av derivaterVolatilitet
BigQuant

This report summary evaluates historical fundamentals and price information as inputs to industry allocation in China. It highlights trailing-twelve-month ROE, single-quarter ROE, and ROE growth as useful historical factors, while finding industry-level…

AksjerKinesiske markederFaktorinvesteringMomentum
BigQuant

This overview surveys a broad range of investment approaches and the decisions they emphasize. It covers value and growth selection, quantitative modeling, momentum, income generation, index investing, and diversification across asset classes. It also…

Flere aktivaklasserMomentumTrendfølgende handelArbitrasje
BigQuant

This industry-rotation approach identifies turning points in broad or sector indexes to classify market conditions as rising or falling. It then ranks industries by their performance rankings over the prior year within those market states, on the premise…

AksjerKinesiske markederMomentumTrendfølgende handel
BigQuant

This review describes a framework for separating portfolio returns into fundamental growth and changes in valuation. It applies the decomposition to value, momentum, quality, and a combined value-quality factor, using long-short portfolios formed from U.S.…

AksjerFaktorinvesteringPorteføljekonstruksjonStatistikk
BigQuant

This guide explains why a submitted end-to-end Transformer example can run out of memory before training or inference begins: the data-loading step materializes minute bars for many stocks across the full date range in one DataFrame. Although the eventual…

MaskinlæringOrdreutførelseStatistikkAksjer
BigQuant

The article explains Dual Thrust, an intraday opening-range breakout method applied to futures. It defines a prior-period range as the larger of the highest high minus the lowest close, or the highest close minus the lowest low. Multiplying that range by…

FuturesKursbruddVolatilitetOrdreutførelse
BigQuant

The document introduces AVL trees, a type of binary search tree that keeps the heights of each node’s left and right subtrees within one level of each other. It explains that this balance supports logarithmic worst-case lookup, insertion, and deletion, and…

Statistikk
BigQuant

This document summarizes three research topics. The first compares earnings announcement returns (EAR) with standardized unexpected earnings (SUE), describing EAR as a measure of the market response to unexpected information in earnings announcements. It…

AksjerHendelsesdrevet handelFaktorinvesteringVolatilitet
BigQuant

Despite a title referring to Bollinger Bands, the body describes the Accumulation Swing Index (ASI). It outlines a calculation using open, high, low, and close prices, comparing the current bar with the previous bar. Intermediate terms measure price changes…

Tekniske indikatorerStatistikk
BigQuant

This tutorial outlines a preprocessing workflow for equity factor data. It filters out records without an industry classification, fills missing factor values with date and industry group means, and describes clipping outliers using percentile, standard…

AksjerFaktorinvesteringStatistikkMaskinlæring
BigQuant

This support answer explains how to choose futures contracts in a template strategy. The template requires a specified contract list for a targeted backtest; leaving the list empty passes all contracts rather than selecting a single main contract. The answer…

FuturesHistorisk testingOrdreutførelse
BigQuant

This report describes a multi-factor model for analyzing stock returns and risk in China’s A-share market. Instead of assessing each stock independently, the framework represents exposures and returns through a smaller set of factors. It highlights…

Kinesiske markederAksjerFaktorinvesteringRisikostyring
BigQuant

This Chinese market report examines sector allocation using fund quarterly holdings, institutional ownership, and company earnings expectations. It describes which sectors funds increased or reduced during the first half, compares public fund and northbound…

Kinesiske markederAksjerFaktorinvesteringPorteføljekonstruksjon
BigQuant

The document discusses the prospects for quantitative investing in China after a period in which some quantitative private funds faced weaker performance and investor demand. It presents views from three investment firms: one frames market enthusiasm and…

Kinesiske markederStatistikkAksjer
BigQuant

This short BigQuant forum post shows an approach for visualizing correlations among several fields for a single Chinese stock. Its example queries a prefactor table for closing price, volume, and rolling turnover sums, retrieves the data as a dataframe,…

AksjerKinesiske markederStatistikkTekniske indikatorer
BigQuant

The document presents a Python charting workflow for a market series, including candlesticks, turning-point markers, and a three-line oscillator. Its core calculation compares the close with rolling highs and lows over two lookback windows, then shifts the…

Tekniske indikatorerMomentumHistorisk testing
BigQuant

This June 2022 market-timing note characterizes the broad Chinese equity market as ranging near a lower zone, with moderate-to-low valuations and limited scope for improved risk appetite. It recommends keeping exposure measured and using the 10-day moving…

AksjerKinesiske markederTekniske indikatorerPosisjonsstørrelse
BigQuant

This short assignment defines quantitative investing as using data-based portfolio strategies to seek steady investment growth. It presents automation and reduced emotional influence as advantages, while identifying a steep learning curve and substantial…

Flere aktivaklasserPorteføljekonstruksjon
BigQuant

This proposed stock screen combines three technical conditions: daily price amplitude above 1%, convergence among five moving averages (5, 10, 20, 30, and 60 days), and a shrinking MACD histogram on a 15-minute chart. The article interprets the amplitude…

AksjerTekniske indikatorerTilbakevending mot gjennomsnittetKinesiske markeder
BigQuant

This study summary examines Chinese listed companies that hold stakes in firms planning initial public offerings. It frames these investments as strategic or financial, then focuses on how the investor’s share price behaves after the prospective investee…

Kinesiske markederAksjerHendelsesdrevet handel
BigQuant

This short discussion defines quantitative investing as analyzing financial-market signals with mathematical models to seek investment returns, with automated order placement as a possible part of the process. It identifies reduced emotional influence, the…

Flere aktivaklasserMaskinlæringHistorisk testingRisikostyring
BigQuant

This brief discussion describes how to display a sector’s price-to-earnings ratio, using banking as an example. It points to a demonstration that builds an industry P/E using an arithmetic mean approach and notes that the calculation can instead use market…

AksjerStatistikkFaktorinvestering