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Libreria delle conoscenze

Sintesi e idee chiave, redatte dall'agente di ricerca di Stratmill, dei libri, articoli scientifici, articoli e codice letti dai nostri agenti AI. Ogni pagina rimanda all'originale.

Quant Q&A
20,364 documenti
SuperMind
12,226 documenti
OKX Learn
8,431 documenti
Strategy library
7,910 documenti
MQL5 code base
7,090 documenti
BigQuant
3,481 documenti
Bitget Academy
3,298 documenti
MQL5 articles
3,012 documenti
TradingView scripts
1,976 documenti
ProRealCode
1,507 documenti
Deribit Insights
1,232 documenti
Machine Learning for Trading
1,124 documenti
arXiv papers
1,033 documenti
Amberdata research
766 documenti
FMZ forum
682 documenti
FMZ digest
662 documenti
vn.py community
560 documenti
QuantInsti blog
511 documenti
Galaxy Research
340 documenti
QuantStart
246 documenti
Stratmill research code
219 documenti
Robot Wealth
195 documenti
NautilusTrader
191 documenti
Hummingbot docs
181 documenti
Paradigm research
175 documenti
Lumibot
164 documenti
Kraken Learn
163 documenti
Libreria di corsi quantitativi
157 documenti
OctoBot
152 documenti
Cryptohopper blog
144 documenti
Systematic trading blog (Rob Carver)
132 documenti
Qlib
116 documenti
TqSdk
86 documenti
Quantpedia
86 documenti
Hyperliquid docs
79 documenti
Freqtrade
68 documenti
Hudson & Thames
62 documenti
Awesome Systematic Trading
61 documenti
backtrader
54 documenti
vn.py
50 documenti
Binance API docs
45 documenti
Lezioni Quantopian
45 documenti
FMZ guides
38 documenti
pysystemtrade
34 documenti
Freqtrade docs
32 documenti
quant-trading
31 documenti
FinRL
28 documenti
Zipline
22 documenti
FMZ live strategies
21 documenti
Jesse
17 documenti
pyfolio
16 documenti
Alphalens
14 documenti
WonderTrader
14 documenti
backtesting.py
11 documenti
Technical Analysis
9 documenti
QTPyLib
8 documenti
QuantRocket
7 documenti
Lumibot strategies
7 documenti
Awesome Quant
1 documenti

Cerca nella libreria

3,481 documenti

BigQuant

This Chinese Q&A discusses basic factor research and strategy refinement. It recommends using a correlation calculation to compare factors and gives rough absolute-correlation bands for weak and strong relationships. It also suggests tracking factor…

AzioniInvestimento fattorialeStatisticaTrading ad alta frequenza
BigQuant

This research note develops an equity factor from intraday changes in volatility, which it treats as uncertainty about volatility. Using rolling five-minute windows of returns and volatility, it identifies periods when this uncertainty is elevated. It then…

AzioniVolatilitàInvestimento fattorialeMicrostruttura del mercato
BigQuant

This Chinese-language discussion asks why a five-day moving average is missing on a date when the closing price appears to be available and the security was not halted. The response offers a possible explanation: a missing close elsewhere in the five-day…

StatisticaIndicatori tecnici
BigQuant

This short quantitative research answer describes a volume-based factor built from two choices: the number of days used to average volume and the number of observations used to measure volatility. Its notation indicates applying a standard deviation to…

StatisticaInvestimento fattorialeAzioni
BigQuant

This Chinese brokerage research summary examines Fuling Zhacai, a single Chinese listed company, and proposes adjusting exposure according to how much future earnings its share price appears to anticipate. The analysis describes relatively stable analyst…

AzioniMercati cinesiRitorno alla mediaDimensionamento delle posizioni
BigQuant

This BigQuant workflow builds a Chinese stock portfolio from a broad exchange and sector universe. Its factor query computes lagged price measures, ranks stocks using longer- and shorter-window returns, filters out special-treatment stocks, and removes rows…

Mercati cinesiAzioniMomentumBacktest
BigQuant

This study examines six smart beta factors in Chinese equities: size, value, low volatility, momentum, quality, and dividends. Its reported sample runs from July 2006 through November 2018. The summary finds differing absolute and risk-adjusted performance…

AzioniInvestimento fattorialeMomentumVolatilità
BigQuant

This research summary explores technical factors built from turnover, illiquidity, and combined price-volume information in the CSI 500 universe. It considers turnover stability, turnover variation, abnormal turnover, several illiquidity measures, On-Balance…

AzioniInvestimento fattorialeIndicatori tecniciBacktest
BigQuant

The document surveys a quantitative research platform’s components and workflow. It describes tools for strategy development, financial data access, factor research, model training, backtesting, simulated trading, and live execution. Its examples span stock,…

Multi-assetApprendimento automaticoInvestimento fattorialeBacktest
BigQuant

The document summarizes research on applying conditional generative adversarial networks to calibrate individual systematic trading strategies and combine them into ensembles. The proposed workflow covers training and selecting a cGAN on time-series data,…

Apprendimento automaticoCostruzione del portafoglioBacktestStatistica
BigQuant

This Chinese equities screen combines cross-sectional ranks for total market capitalization, free-float market capitalization, and closing price into a weighted score. It filters out special-treatment and suspended stocks, requires more than a year since…

AzioniMercati cinesiInvestimento fattorialeBacktest
BigQuant

This Chinese equity screen combines technical conditions with a historical revenue comparison. It selects stocks with RSI below 65, a shortening MACD histogram on a 15-minute chart, and revenue in 2021 more than 1.1 times revenue in 2018. The accompanying…

Mercati cinesiAzioniIndicatori tecniciInvestimento fattoriale
BigQuant

The document presents a cross-sectional stock factor built from daily Chinese stock data. It calculates a rolling correlation over 20 observations between the close-to-close price ratio and the logarithm of the volume ratio plus one, then reverses the…

Mercati cinesiAzioniInvestimento fattorialeStatistica
BigQuant

This research summary examines why Chinese A-share returns show short-term reversal even though medium- and long-term raw returns do not show the momentum commonly reported in overseas markets. It decomposes stock returns into overnight returns and intraday…

Mercati cinesiAzioniMomentumRitorno alla media
BigQuant

This report examines whether stocks expected to enter or leave the CSI 300 earn abnormal returns around index reconstitutions. It attributes potential price effects to index-tracking funds adjusting holdings. For the 20 trading days before an adjustment…

Mercati cinesiAzioniBasato su eventiArbitraggio
BigQuant

The article reviews research comparing factor momentum with industry and stock momentum using historical U.S. equity data and a broad set of return factors. The central finding is that industry-neutral factor momentum contains the predictive information…

AzioniMomentumInvestimento fattorialeStatistica
BigQuant

The document summarizes Barra CNE6 as a risk and factor model with an estimation universe filtered for size and liquidity. It describes three versions: two long-term variants using slower style factors and a trading version combining slower and faster…

AzioniInvestimento fattorialeGestione del rischioStatistica
BigQuant

This index-timing method combines relative price strength (RPS) with the difference between upward and downward volatility. It computes the two directional volatility measures for each index, subtracts one from the other, and smooths the result with a moving…

AzioniTrend followingVolatilitàIndicatori tecnici
BigQuant

This research summary examines stock-selection factors within China’s healthcare sector. It reports that size-related factors can deliver higher average returns but have been unstable, while several technical measures—including prior price change, turnover,…

AzioniInvestimento fattorialeMercati cinesiCostruzione del portafoglio
BigQuant

This article explains attention and Transformer components, then adapts them to predict stock returns from factor time series. Its proposed model adds Time2Vec features to factor inputs, applies self-attention and multi-head attention, and stacks encoder…

AzioniApprendimento automaticoIndicatori tecniciBacktest
BigQuant

This note outlines a top-down approach to investing in fixed-income funds. It recommends first forming views on short- and long-term interest rates and credit spreads, then using those views to guide bond-fund selection. When rates are expected to rise, it…

Reddito fissoGestione del rischioCostruzione del portafoglio
BigQuant

The article surveys common sources of investment loss, including broad market movements, issuer default, illiquidity, interest-rate changes, inflation, geopolitical events, concentration, business problems, and legal or regulatory changes. It explains these…

Gestione del rischioCostruzione del portafoglioReddito fissoOpzioni
BigQuant

This research summary outlines an enhanced portfolio for the ChiNext, or Growth Enterprise Market, index. The authors test single-factor enhanced portfolios, then select factors using information ratios, maximum drawdowns, and relationships among factors.…

AzioniMercati cinesiInvestimento fattorialeCostruzione del portafoglio
BigQuant

The report summary introduces the ZCBI listed index, designed to track publicly traded companies associated with Beijing’s Zhongguancun Life Science Park and the broader bioeconomy. It describes a total-return index, free-float market-cap weighting, and…

AzioniMercati cinesiCostruzione del portafoglioInvestimento fattoriale