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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
Aulas Quantopian
45 documentos
Binance API docs
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

12,226 documentos

SuperMind

This document is a job listing for a quantitative strategy researcher in Hangzhou. It outlines research responsibilities that include building quantitative models for financial markets, studying arbitrage approaches such as statistical and event arbitrage,…

ArbitragemNegociação de alta frequênciaTestes históricosEstatística
SuperMind

This stock-selection note proposes screening for shares with a daily trading range above a threshold, no limit-up close on the prior day, and a newly formed KDJ bullish crossover. It presents the crossover as a technical signal that may mark the start of an…

AçõesMercados da ChinaIndicadores técnicosMomentum
SuperMind

This Chinese-language post presents a stock-selection screen combining an RSI below 65 with price change multiplied by super-large-order net flow, followed by a ranking on large-order net flow. It frames RSI as a technical filter and order-flow measures as…

AçõesMercados da ChinaIndicadores técnicosMomentum
SuperMind

This Chinese-language post outlines an A-share stock screen using a daily high-low range above 1%, a closing price of 18.5 yuan, and a 30-day moving average that is rising. The range condition is intended to select volatile shares, the fixed price is…

AçõesMercados da ChinaIndicadores técnicosSeguimento de tendências
SuperMind

The post proposes selecting stocks whose MACD is above zero, whose company characteristics are considered favorable, and whose market popularity ranks highly. This blends a technical momentum signal with a basic company-quality filter and investor attention.…

AçõesMercados da ChinaMomentumIndicadores técnicos
SuperMind

This post describes a Chinese equity selection idea that combines daily price amplitude, a ranking based on net large-order volume, and a “today control” threshold above 21. It presents amplitude and order-flow measures as ways to find active stocks, while…

AçõesMercados da ChinaIndicadores técnicosGestão do risco
SuperMind

The document describes a Chinese equity screening rule that selects stocks with turnover between 3% and 12%, year-over-year net profit growth attributable to parent-company shareholders above 20% and at most 100%, and a share price below 12. It presents the…

AçõesMercados da ChinaInvestimento em fatoresGestão do risco
SuperMind

This screening proposal selects Chinese equities using three conditions: daily amplitude above one percent, a closing price below 20, and at least two limit-up events within 500 days. The article frames amplitude as a measure of price fluctuation, the price…

AçõesIndicadores técnicosMomentumGestão do risco
SuperMind

The document introduces the momentum line, or MTM, as the difference between the current closing price and the close from a chosen number of days earlier. Connecting these values produces the momentum series. A moving average of recent MTM readings provides…

AçõesMomentumIndicadores técnicosTestes históricos
SuperMind

This document proposes screening Chinese A-share stocks for turnover between 3% and 12%, a recent bullish KDJ crossover, and a rounded-base chart pattern. Its indicator example also requires the close to be at or above the 20-day moving average. A Python…

AçõesMercados da ChinaIndicadores técnicosMomentum
SuperMind

The document describes a Chinese equity screen for robot-themed stocks with daily price amplitude above 1%, circulating market value below 10 billion, and daily return between -5% and 2.6%. It outlines formula-style and Python examples for applying the…

AçõesMercados da ChinaIndicadores técnicosGestão do risco
SuperMind

This short-term stock screen selects main-board shares with turnover between 3% and 12%, a daily gain above 1%, and more than two limit-up days within a ten-day window. The article frames turnover and daily gains as signs of activity, while repeated…

AçõesMercados da ChinaMomentumIndicadores técnicos
SuperMind

The article examines how training-window length can affect an AI stock-selection model. It compares longer historical samples with shorter windows using manual rolling training and a held-out backtest period. In the reported experiments, changing the…

Aprendizagem automáticaEstatísticaTestes históricosInvestimento em fatores
SuperMind

This stock-screening method combines a turnover range of 3% to 12% with exclusion of Beijing-listed A-shares and a newly formed KDJ golden cross. The cross is defined as the K line moving above the D line after being below it, using a nine-period price range…

AçõesMercados da ChinaIndicadores técnicosMomentum
SuperMind

This Chinese-language post gives a rule-based screen for stocks in the metaverse theme. It selects names whose price change by 9:25 is below 6% and whose previous-day opening-auction turnover rate exceeds 0.26. The author frames auction turnover as a way to…

Mercados da ChinaAçõesIndicadores técnicosSentimento de mercado
SuperMind

The strategy ranks stocks each month using five inputs: trailing-twelve-month price-to-earnings and price-to-sales ratios, price-to-book value, one-month price momentum, and one-month trading value. The author reports that trailing-twelve-month PE and PS…

AçõesInvestimento em fatoresMomentumConstrução de carteiras
SuperMind

This guide explains two Rust workflows for running Nautilus Trader backtests. The lower-level BacktestEngine approach assembles a simulated venue, instruments, in-memory market data, and a strategy before running the engine. It allows direct configuration of…

Testes históricosExecuçãoFuturosCâmbio
SuperMind

This Chinese-language post outlines an equity screen that ranks stocks by a measure of capital strength derived from trading volume and float capitalization, then selects those whose KDJ indicator has just formed a bullish crossover. The initial description…

AçõesMercados da ChinaIndicadores técnicosMomentum
SuperMind

This A-share screening rule selects stocks with an intraday amplitude above 1 and MACD above zero, then chooses the top five by the day's auction-related turnover measure. The stated reasoning is that a positive MACD may indicate a favorable trend, while…

AçõesMercados da ChinaIndicadores técnicosMomentum
SuperMind

This A-share stock screen combines a relative strength index below 65, a historical dividend payout ratio above 25% for 2019, and a ranking by stock popularity. Its stated rationale is to blend a technical filter, market activity, and a dividend-related…

AçõesMercados da ChinaIndicadores técnicosInvestimento em fatores
SuperMind

This A-share screening idea looks for stocks with MACD above zero that had three consecutive limit-up sessions through the prior day, then ranks candidates by reported popularity. It is intended to combine a positive technical signal with recent momentum and…

AçõesMercados da ChinaMomentumIndicadores técnicos
SuperMind

This stock screen combines a 14-period RSI below 65 with a listing-age filter and a 15-minute MACD condition described as shortening green histogram bars. The proposed refinement adds a minimum market capitalization of 5 billion and excludes a specified…

AçõesIndicadores técnicosMomentumMercados da China
SuperMind

This proposed Chinese stock screen selects companies associated with the metaverse theme when an institutional-flow indicator is positive and the stock has recorded three consecutive daily declines. The document gives formula references and sample Python…

AçõesIndicadores técnicosMercados da ChinaOrientadas por eventos