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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

3,012 documentos

MQL5 articles

The article presents an architecture for sending live MetaTrader 5 feature vectors to a Python model service. Since MQL5 does not natively support gRPC’s HTTP/2 transport, the design uses a hand-written Protocol Buffers encoder and length-prefixed TCP…

Aprendizagem automáticaExecuçãoTestes históricos
MQL5 articles

In this 2011 interview, Sergey Nikitin describes the Expert Advisor that was leading the Automated Trading Championship during its second week. It traded EURUSD and EURJPY, used daily charts to determine trend, and relied on trend-watching indicators.…

CâmbioSeguimento de tendênciasDimensionamento de posiçõesGestão do risco
MQL5 articles

This article builds an MQL5 library for the Matrix Profile, a time-series method that measures each fixed-length window against its nearest non-overlapping neighbor. Low distances identify recurring shapes called motifs; high distances identify unusual…

EstatísticaIndicadores técnicosAprendizagem automáticaTestes históricos
MQL5 articles

This article describes a MetaTrader 5 cross-order system for analyzing continuous historical futures data while placing orders in the currently valid contract. It focuses on Brazilian mini-dollar and mini-index futures, explaining their symbol prefixes,…

FuturosExecuçãoGestão do risco
MQL5 articles

This article develops an MQL5 library for describing candle types and patterns, configuring their recognition parameters, and returning statistics from historical analysis. Its class structure stores candle features, trend state, pattern counts, occurrence…

Indicadores técnicosEstatísticaTestes históricosExecução
MQL5 articles

This article shows how to replace hand-written candlestick rules with TA-Lib pattern functions in a Python service connected to a MetaTrader 5 Expert Advisor. The EA sends recent OHLC data to a Flask endpoint; Python builds a time-indexed DataFrame,…

Indicadores técnicosCâmbioExecução
MQL5 articles

This article explains Segment, Shuffle, Stitch (S3), a learnable module for changing how time-series history is organized before a neural model processes it. S3 divides a sequence into non-overlapping segments, learns priorities that determine their new…

Aprendizagem automáticaEstatística
MQL5 articles

This article explains why maximum drawdown alone gives an incomplete picture of strategy risk: two equity curves with the same peak-to-trough loss can differ greatly in how often they decline, how long they remain underwater, and how quickly they recover. It…

Gestão do riscoEstatísticaTestes históricos
MQL5 articles

This article presents a channel-breakout entry method intended to capture a change in trend. Channels can slope upward, slope downward, or move sideways, and may be drawn using several channel techniques. The proposed signal occurs when a candle closes…

Rutura de níveisCâmbioIndicadores técnicosTestes históricos
MQL5 articles

This article describes a MetaTrader 5 expert advisor that can trade multiple forex and metal pairs from one chart, with an option to run on a single pair. Its signal design combines ZigZag swing structure with the Awesome Oscillator (AO), allowing several…

CâmbioMatérias-primasMultiactivosIndicadores técnicos
MQL5 articles

The article applies supervised learning to three Parabolic SAR and Relative Vigor Index signal patterns that previously failed forward-walk tests. It describes implementing the indicators in Python, connecting to MetaTrader price data, and training a neural…

Aprendizagem automáticaIndicadores técnicosCâmbioTestes históricos
MQL5 articles

This technical article explains how ZIP archives store files and describes MQL5 classes for creating, loading, downloading, and extracting archives. It outlines the local file header, file data, central directory, and end record, and explains how filenames…

ExecuçãoMicroestrutura de mercado
MQL5 articles

The article introduces linear and Matérn covariance kernels for Gaussian Process Regression (GPR) and discusses their potential use with financial time series. A linear kernel represents simple linear relationships and is computationally light, making it a…

Aprendizagem automáticaEstatísticaVolatilidadeAções
MQL5 articles

The article explains Beetle Swarm Optimization (BSO), a population-based optimizer that combines Particle Swarm Optimization (PSO) with Beetle Antennae Search (BAS). Each beetle probes objective values on either side of its position, then combines that local…

EstatísticaAprendizagem automáticaTestes históricos
MQL5 articles

The article introduces Markov chains as probabilistic models for transitions among defined states. It explains the transition matrix and the memoryless assumption: the next state depends on the current state and elapsed time, rather than the full path taken…

EstatísticaAprendizagem automáticaCâmbioTestes históricos
MQL5 articles

This installment explains logging handlers as components that receive records from a logger and route them to destinations such as a console, file, or database. It outlines a handler base class with a name, a severity threshold, and common operations for…

ExecuçãoGestão do risco
MQL5 articles

The document explains how to use BotBrains, a block-based editor for creating MetaTrader trading robots without writing code. It surveys the editor’s logic, interface, and code modes, and describes blocks for indicators, orders, chart and market-depth data,…

Indicadores técnicosSeguimento de tendênciasExecução
MQL5 articles

The article explores ways to combine the Fractal Adaptive Moving Average (FrAMA) with the Force Index in an MQL5 trading system. FrAMA is used to describe trend direction or slope, while the Force Index contributes volume-weighted momentum information. The…

CâmbioIndicadores técnicosMomentumSeguimento de tendências
MQL5 articles

The document explains how to use MQL5’s Graphics library to create charts within MetaTrader, including curves from arrays, coordinate pairs, point objects, or functions. It walks through creating a graph, adding and plotting curves, updating the display, and…

EstatísticaIndicadores técnicos
MQL5 articles

The document describes an MQL5 framework for managing related open positions as a single basket. Positions are grouped by an identifier in their comments, then scanned to calculate leg count, long and short volume, aggregate floating profit and loss, and…

Gestão do riscoDimensionamento de posiçõesExecuçãoMultiactivos
MQL5 articles

This article explains a workflow for deploying a trained Torch time-series forecasting model in a MetaTrader 5 Expert Advisor using ONNX. It covers switching the model into inference mode, collecting and naming its inputs and outputs, exporting it, then…

Aprendizagem automáticaTestes históricosCâmbio
MQL5 articles

The article builds a simple automated crossover system and uses it as a baseline for testing simple, adaptive, double exponential, triple exponential, and fractal adaptive moving averages. The signal rule buys when a completed closing price crosses above its…

Indicadores técnicosTestes históricosSeguimento de tendências