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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
WonderTrader
14 documentos
Alphalens
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

191 documentos

NautilusTrader

The document explains how order lists group orders and how OTO, OCO, and OUO relationships coordinate child activation, cancellation, or quantity changes. The behavior depends on the matching engine, emulator, adapter, venue, or strategy logic, so metadata…

ExecuçãoGestão do riscoDimensionamento de posiçõesAvaliação de derivados
NautilusTrader

This example sets up a backtest of an exponential moving average crossover on Binance’s Bitcoin perpetual market. It loads the instrument, configures a margin account with a maker and taker fee model, supplies one minute bar data from a CSV file, and…

CriptoativosFuturos perpétuosIndicadores técnicosTestes históricos
NautilusTrader

This document defines a funding-rate update record for a perpetual swap instrument. It identifies the instrument and rate, and may include the funding interval and next scheduled funding timestamp when supplied by the venue. Event and initialization…

Futuros perpétuosAvaliação de derivados
NautilusTrader

The document presents a plotting utility for examining a dYdX grid market maker run. It parses logs for mid-price requotes and order submission, acceptance, and cancellation events, then generates panels for theoretical grid levels around the mid-price,…

CriptoativosCriação de mercadoNegociação em grelhaExecução
NautilusTrader

This example configures a live Coinbase spot execution test for BTC-USDC. At startup, the built-in tester can open a position with an immediate-or-cancel order, then place post-only buy limits below the top of book. It subscribes to quotes and trades, and is…

CriptoativosMercados à vistaExecuçãoMicroestrutura de mercado
NautilusTrader

This integration guide explains how a trading system connects to Deribit for market data and order execution. It outlines the division between WebSocket use for streaming and trading operations and HTTP use for instrument loading, historical requests, and…

CriptoativosFuturosOpçõesExecução
NautilusTrader

This guide describes a persistence workflow for staging live or backtest records in Feather files and promoting sealed files into a Parquet data catalog. It covers writer and catalog configuration, optional time or size based file rotation, promotion…

Testes históricosExecuçãoMicroestrutura de mercado
NautilusTrader

The i-SpectrAnalysis indicator smooths a price series by filtering out higher-order harmonics. The document says the same approach can be applied to other indicator values and presents low delay as its main advantage. Its parameters include a series length,…

Indicadores técnicosEstatística
NautilusTrader

This workflow shows how to bring vendor tick data into a NautilusTrader backtest when a dedicated data adapter is unavailable. It reads a supported CSV format, converts rows into quote ticks, sorts them by initialization timestamp, and writes both the…

CâmbioTestes históricosExecuçãoMicroestrutura de mercado
NautilusTrader

This example configures a built-in execution tester for an ETH-USD perpetual market on dYdX. On startup, it can open a position with an immediate-or-cancel order, then maintain post-only limit buy and sell quotes offset from the top of book. It subscribes to…

CriptoativosFuturos perpétuosExecuçãoMicroestrutura de mercado
NautilusTrader

This example configures a simulated backtest for an AUD/USD moving-average crossover strategy using quote tick data. It creates a margin account, loads historical quotes, and builds internal bars from groups of ticks. The strategy uses a fast and a slow…

CâmbioIndicadores técnicosTestes históricosExecução
NautilusTrader

This project introduction explains an architecture for building multi-asset, multi-venue trading systems with a Rust engine and Python control layer. It uses an event-driven runtime for research, deterministic simulation, and live execution, allowing…

MultiactivosTestes históricosExecuçãoMicroestrutura de mercado
NautilusTrader

This note outlines a mainland China stock screen requiring RSI below 65, a daily gain above 1%, a main-board listing, and first-level bid volume greater than ask volume. Its stated aim is to combine a technical condition and positive price movement with an…

AçõesIndicadores técnicosMicroestrutura de mercadoMercados da China
NautilusTrader

This architecture guide explains how a NautilusTrader node connects market-data clients, strategies, risk controls, execution clients, portfolio state, a cache, and a message bus. It describes an event-driven design with modular adapters and shared core…

ExecuçãoGestão do riscoMicroestrutura de mercadoTestes históricos
NautilusTrader

This tutorial demonstrates a Rust backtest that replays historical Betfair exchange data and measures order book volume imbalance for each runner. The actor sums back and lay volumes from book updates, then calculates signed imbalance as the difference…

Testes históricosMicroestrutura de mercadoEstatísticaExecução
NautilusTrader

This tutorial describes running a shared short volatility strategy on Derive. It selects an out-of-the-money ETH call and put at the nearest expiry, tracks venue supplied option Greeks, and offsets net portfolio delta with ETH perpetual orders when exposure…

CriptoativosOpçõesVolatilidadeFuturos perpétuos
NautilusTrader

This example demonstrates a backtest workflow for market-by-order data. It loads instrument definitions and a short sample of order book deltas, configures a margin account with an L3 market-by-order book, and feeds the data into the engine. A built-in book…

FuturosTestes históricosMicroestrutura de mercado
NautilusTrader

This example sets up a foreign-exchange backtest for an AUD/USD exponential moving average crossover strategy. It loads historical quote ticks, configures a simulated margin account with a USD balance and maker-taker fees, and supplies an FX rollover…

CâmbioSeguimento de tendênciasIndicadores técnicosTestes históricos
NautilusTrader

This strategy reacts to a large size imbalance between the best bid and best ask in a limit order book. It ignores missing, crossed or incomplete book data and requires both displayed sizes to be positive. A trigger occurs only when the larger queue exceeds…

Microestrutura de mercadoExecuçãoNegociação de alta frequênciaGestão do risco
NautilusTrader

This reference explains the fields used to represent a dated cryptocurrency futures instrument in a trading system. It covers instrument identity, underlying and quote currencies, settlement currency, inverse status, activation and expiry timestamps, price…

CriptoativosFuturosAvaliação de derivados
NautilusTrader

This article argues that traders should generally follow the prevailing stock trend instead of automatically taking the opposite side of popular sentiment. It says countertrend buying during a decline can mean facing persistent selling, while selling into an…

AçõesSeguimento de tendênciasIndicadores técnicosGestão do risco
NautilusTrader

These release notes describe changes to NautilusTrader, a trading platform, including support for negative futures prices except for inverse futures and fixes to risk limits, commission signs, and order handling at negative prices. They also list a Databento…

FuturosMicroestrutura de mercadoIndicadores técnicosExecução
NautilusTrader

This integration guide explains how Databento historical files, historical requests, and real-time feeds can be decoded into NautilusTrader market-data objects. It maps supported schemas to data types and describes which feeds fit different research needs:…

Microestrutura de mercadoExecuçãoTestes históricosFuturos