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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

61 documentos

Awesome Systematic Trading

The code describes a currency carry strategy that compares the US three-month Treasury rate with the average forward discount of a basket of developed-market currencies. The basket uses equal weights, and the comments say that an average three-month interest…

CâmbioFuturosCarryTestes históricos
Awesome Systematic Trading

This document presents an annual U.S. equity strategy that ranks firms by research and development spending relative to market capitalization. At the end of April, it forms a long portfolio from the highest-ranked group and a short portfolio from the…

AçõesInvestimento em fatoresConstrução de carteirasTestes históricos
Awesome Systematic Trading

This QuantConnect example implements a monthly momentum strategy across eight currency futures. It measures each contract’s return over roughly twelve months, ranks the available contracts, then targets the three strongest positions long and the three…

FuturosCâmbioMomentumInvestimento em fatores
Awesome Systematic Trading

This QuantConnect-style algorithm uses monthly observations of crude oil and E-mini S&P 500 futures to estimate whether equity exposure is attractive. It aligns the futures price histories, calculates their returns, then fits a simple linear regression with…

FuturosMatérias-primasAçõesEstatística
Awesome Systematic Trading

This algorithmic implementation describes an annual asset-growth factor strategy for U.S. equities. At the end of June, it calculates each eligible company’s change in total assets from the prior observation, sorts stocks into ten groups, buys the…

Mercados dos EUAAçõesInvestimento em fatoresConstrução de carteiras
Awesome Systematic Trading

The document describes a U.S. equity size-factor strategy that ranks stocks by market capitalization and takes opposite positions in the smallest and largest groups. Its stated research framing uses deciles, while the QuantConnect implementation limits the…

AçõesInvestimento em fatoresConstrução de carteirasMercados dos EUA
Awesome Systematic Trading

The document describes a simple Bitcoin timing strategy based on an asserted intraday seasonal pattern. It opens a long position at 22:00 UTC and closes it two hours later, using minute data. The accompanying implementation changes the cited research setup’s…

CriptoativosTestes históricosExecução
Awesome Systematic Trading

The document presents a monthly long-short residual-momentum strategy for U.S. equities. It describes ranking stocks by risk-adjusted residual returns over the prior 12 months, skipping the latest month, and buying the strongest decile while shorting the…

AçõesMercados dos EUAMomentumInvestimento em fatores
Awesome Systematic Trading

The strategy ranks a multi asset universe using two momentum horizons and a valuation measure. It assigns equal portions of the combined score to 12 month and one month momentum, and a larger portion to value. Stock valuation is represented by earnings…

MultiactivosMomentumInvestimento em fatoresConstrução de carteiras
Awesome Systematic Trading

This README catalogs resources for researching and implementing systematic trading, including software libraries, strategies from published papers, books, videos, blogs, and courses. It groups tools by functions such as backtesting, live trading, analytics,…

Testes históricosConstrução de carteirasEstatísticaAprendizagem automática
Awesome Systematic Trading

This strategy ranks stocks in the MSCI World universe by the change in their ESG rating deciles over a roughly twelve-month interval. It goes long the strongest ESG improvers and short the weakest, rebalancing monthly. The implementation selects about 700…

AçõesMomentumInvestimento em fatoresConstrução de carteiras
Awesome Systematic Trading

This strategy ranks a universe of commodity futures by the skewness of their daily returns over a trailing 12-month window. At each monthly rebalance, it goes long the quintile with the lowest skewness and short the quintile with the highest, with equal…

Matérias-primasFuturosInvestimento em fatoresTestes históricos
Awesome Systematic Trading

The document describes a monthly strategy that combines a portfolio of smart factors with a broad US equity market proxy. It uses five factor return series based on large US stocks. For each factor, it measures one-month and twelve-month momentum, ranks the…

AçõesMomentumInvestimento em fatoresConstrução de carteiras