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Biblioteca de conhecimento

Resumos e ideias principais, escritos pelo agente de investigação da Stratmill, dos livros, artigos científicos, artigos e código consultados pelos nossos agentes de IA. Cada página inclui uma ligação para o original.

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

Pesquisar na biblioteca

3,481 documentos

BigQuant

A brief forum exchange addresses a user whose stock strategy appears not to run. The response suggests two checks: use English names for features, and print the daily buy and sell candidate lists to see whether any stocks meet the strategy’s conditions. The…

AçõesExecução
BigQuant

This research summary proposes combining price-to-book ratio (PB) with return on equity (ROE) to find companies with stronger fundamentals and lower valuations in China’s A-share market. It treats ROE and other operating measures as indicators of value…

Mercados da ChinaAçõesInvestimento em fatoresConstrução de carteiras
BigQuant

This market-monitoring report summarizes Chinese trading conditions for July 13, 2022. It reviews broad index and sector performance, then gauges equity sentiment using limit-up and limit-down counts, next-day returns for stocks that had hit either limit,…

AçõesFuturosSentimento de mercadoMicroestrutura de mercado
BigQuant

This student submission translates a Chinese “dragon returning” trading approach into a factor-based stock strategy. It first identifies strong sectors with sector momentum, then selects leading stocks within them using stock momentum and price-volume…

Mercados da ChinaAçõesMomentumReversão à média
BigQuant

The document summarizes a study of dividend-focused Smart Beta strategies in Chinese equities. It argues that dividend factors show a consistent ranking pattern across the CSI 300, CSI 500, and broader market universe, with higher-dividend portfolios…

AçõesInvestimento em fatoresMercados da ChinaTestes históricos
BigQuant

The document surveys a Chinese securities research team’s work on applying artificial intelligence to quantitative investing. It organizes that research around model evaluation, factor discovery, overfitting controls, synthetic data, and methods intended to…

Aprendizagem automáticaInvestimento em fatoresAçõesConstrução de carteiras
BigQuant

This document summarizes a securities research report on constructing factors from high-frequency data, with a focus on combining intraday and day-level information. It frames the choice of calculation method around whether price and volume signals retain…

AçõesNegociação de alta frequênciaInvestimento em fatoresMomentum
BigQuant

This Chinese-language post discusses connecting BigQuant research with Guojin Securities’ QMT platform for automated live trading. Its concrete example is a stock strategy that first processes daily data to select a watchlist, then monitors those names and…

Mercados da ChinaAçõesRutura de níveisNegociação de alta frequência
BigQuant

This equity research note examines suppliers of radio-frequency components for active phased-array radar amid anticipated military equipment upgrades in China. It explains that active arrays connect a separate transmit/receive module to each radiating…

Mercados da ChinaAções
BigQuant

This report tests the ratio of research and development spending to revenue as an equity-selection factor across industries. Single-factor tests find some effectiveness in technology-oriented sectors, including pharmaceuticals, electronics, communications,…

Mercados da ChinaAçõesInvestimento em fatoresConstrução de carteiras
BigQuant

The note answers whether factors shown in BigQuant’s factor dashboard can be referenced directly. It says they cannot be called directly from the dashboard; users need to open a factor’s detail page and extract its expression. When available, the displayed…

Investimento em fatores
BigQuant

The document gives a brief historical overview of quantitative investing. It describes how advances in computing made it practical to store and process large amounts of historical data, supporting the use of statistical and mathematical models in investment…

EstatísticaAprendizagem automáticaTestes históricos
BigQuant

A BigQuant user raises a timing problem involving premarket data processing in backtests. In the example, a signal generated on one day leads to an order for the next day; premarket history in the backtest appears to expose that day’s open and close. Such…

Testes históricosExecuçãoMicroestrutura de mercadoAções
BigQuant

This educational article introduces support vector machines (SVMs) as classification models, with examples framed around separating two classes using features. It explains the maximum-margin objective: choose a decision boundary that stays as far as possible…

Aprendizagem automáticaEstatística
BigQuant

This report challenges mean-variance optimization assumptions that returns are normally distributed, volatility captures risk symmetrically, and portfolios should maximize return per unit of risk. It instead frames investor concerns as preserving principal…

MultiactivosConstrução de carteirasGestão do riscoEstatística
BigQuant

This article explains a Dual Thrust trend-following method and its application to a basket of nickel, rebar, and coking coal futures. It defines a range from historical highs, lows, and closes, then sets upper and lower breakout thresholds around the current…

FuturosMatérias-primasSeguimento de tendênciasRutura de níveis
BigQuant

The article evaluates whether a stock’s overnight return, measured from the prior close to the next open, can proxy for firm-level investor sentiment. The rationale is that retail investors may place orders outside regular market hours, concentrating demand…

AçõesSentimento de mercadoReversão à médiaEstatística
BigQuant

This reference describes several candidate fitness objectives for genetic programming that produces equity factors. It defines IC information ratio as the mean information coefficient divided by its standard deviation, with the information coefficient…

AçõesInvestimento em fatoresAprendizagem automáticaEstatística
BigQuant

This research roundup summarizes three studies. The first examines whether unexpected US monetary policy announcements affected hedge fund alpha after the financial crisis, using event studies, structural-break tests, and Markov-switching models. It reports…

MultiactivosConstrução de carteirasOrientadas por eventosSentimento de mercado
BigQuant

This report examines shortcomings in the Henriksson–Merton (HM) and Treynor–Mazuy (TM) models for assessing fund managers’ market and style timing. TM represents beta adjustment as a gradual quadratic pattern, while HM assumes a two-state exposure shift;…

EstatísticaInvestimento em fatoresConstrução de carteiras
BigQuant

This report overview defines smart beta as a systematic, rules based way to obtain exposure to selected investment factors. It compares the United States and China through their ETF markets, describing differences in product scale, factor coverage, and index…

Investimento em fatoresAçõesMercados da ChinaMercados dos EUA
BigQuant

The document outlines the five factors used to explain differences in stock returns: market excess return, company size, book-to-market value, profitability, and investment. It describes each as a comparison between groups of stocks, such as small versus…

AçõesInvestimento em fatoresEstatísticaConstrução de carteiras
BigQuant

This BigQuant example builds a daily Chinese-stock portfolio by ranking eligible shares on 30-day turnover variability relative to their industry group. It filters out risk-warning stocks and applies price and listing-age conditions, then selects five names…

AçõesMercados da ChinaInvestimento em fatoresConstrução de carteiras
BigQuant

This market note reviews a modest rebound in Chinese equities and discusses the forces behind it. It attributes the recovery partly to expectations of improved second-quarter corporate earnings and reduced global risk aversion. It also cautions that…

AçõesMercados da ChinaConstrução de carteirasGestão do risco