Saltar para o conteúdo

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

86 documentos

TqSdk

This Python example describes a daily gold futures strategy using a short and a long Hull moving average (HMA). It opens a long position when the short HMA crosses above the long HMA and price is above the long average; the short signal crossing below is…

FuturosSeguimento de tendênciasIndicadores técnicosGestão do risco
TqSdk

This page is an index of complete strategy examples intended as starting points for adaptation in TqSdk. It groups examples into classic strategies, trend approaches, arbitrage, mean reversion, and algorithmic execution. Named examples include dual moving…

FuturosSeguimento de tendênciasArbitragemReversão à média
TqSdk

This example describes a futures grid strategy centered on a chosen starting price. It creates a fixed number of price levels on both sides, with each successive level set a constant percentage lower for the long side or higher for the short side. The target…

FuturosNegociação em grelhaDimensionamento de posiçõesExecução
TqSdk

This reference describes how to retrieve account balances, positions, orders, and trades through TqSdk, and how those returned objects update as the API processes market and account events. It distinguishes futures-style objects from stock-style objects and…

FuturosAçõesExecuçãoMicroestrutura de mercado
TqSdk

The visible code describes a market-data backtesting component for the TqApi framework. Its documentation explains how simulated quotes are produced from subscribed data: tick subscriptions provide more frequent quote updates, while bar subscriptions can…

Testes históricosExecuçãoMicroestrutura de mercadoFuturos
TqSdk

This documentation explains how to search strategy parameters by running repeated backtests with different values. Its example varies the short lookback in a two moving average crossover strategy, creates a fresh simulated account for each run, and prints…

Testes históricosEstatísticaFuturos
TqSdk

This reference explains commonly used fields in market data objects and in futures and stock trading objects. For quotes, K-lines, and ticks, it identifies prices, timestamps, volume, open interest, and other session or contract details. Separate tables…

FuturosAçõesExecuçãoMicroestrutura de mercado
TqSdk

This code builds a synthetic steel mill profit spread from daily futures prices for rebar, iron ore, and coke. It calculates the spread as rebar minus weighted quantities of the two inputs, smooths it with a 15-day moving average, and estimates a standard…

FuturosMatérias-primasReversão à médiaNegociação de pares
TqSdk

This example builds a daily direction classifier for a rubber futures contract. Near a scheduled end-of-day cutoff, it uses recent closing prices to calculate three technical features, aligns each historical feature row with the following session's…

FuturosAprendizagem automáticaIndicadores técnicosTestes históricos
TqSdk

This code example implements an intraday R-Breaker strategy for a futures contract. It calculates seven reference levels from the previous daily bar: a pivot, breakout thresholds, setup levels, and reversal entry levels. When flat, price crossing a breakout…

FuturosRutura de níveisReversão à médiaIndicadores técnicos
TqSdk

This documentation explains how to manage a TargetPosTask instance in a futures trading application, focusing on cancelling a task and checking when it has finished. It states that an account may have only one such instance per contract at a time, and that…

FuturosExecuçãoMicroestrutura de mercado
TqSdk

This beginner-level example describes a daily-bar futures strategy that combines two moving averages with the close’s position inside recent candle ranges. It opens a long position when price is above both averages and the prior two candles show a shift from…

FuturosSeguimento de tendênciasIndicadores técnicosGestão do risco
TqSdk

This guide compares TqSdk with direct development against the CTP interface, focusing on architecture, market data, and program flow. CTP connects directly to a futures broker’s trading system and uses event callbacks. TqSdk instead connects through…

FuturosExecuçãoMicroestrutura de mercadoIndicadores técnicos
TqSdk

This code example implements an intraday R-Breaker strategy for a futures contract while allowing positions to remain open overnight. It calculates a pivot and six reference levels from the prior daily bar: breakout thresholds, observation levels, and…

FuturosRutura de níveisSeguimento de tendênciasIndicadores técnicos