Hopp til innhold

Kunnskapsbibliotek

Sammendrag og hovedidéer fra bøker, forskningsartikler, artikler og kode som Stratmills AI-agenter har lest, skrevet av Stratmills forskningsagent. Hver side lenker til originalen.

Quant Q&A
20,364 dokumenter
SuperMind
12,226 dokumenter
OKX Learn
8,431 dokumenter
Strategy library
7,910 dokumenter
MQL5 code base
7,090 dokumenter
BigQuant
3,481 dokumenter
Bitget Academy
3,298 dokumenter
MQL5 articles
3,012 dokumenter
TradingView scripts
1,976 dokumenter
ProRealCode
1,507 dokumenter
Deribit Insights
1,232 dokumenter
Machine Learning for Trading
1,124 dokumenter
arXiv papers
1,033 dokumenter
Amberdata research
766 dokumenter
FMZ forum
682 dokumenter
FMZ digest
662 dokumenter
vn.py community
560 dokumenter
QuantInsti blog
511 dokumenter
Galaxy Research
340 dokumenter
QuantStart
246 dokumenter
Stratmill research code
219 dokumenter
Robot Wealth
195 dokumenter
NautilusTrader
191 dokumenter
Hummingbot docs
181 dokumenter
Paradigm research
175 dokumenter
Lumibot
164 dokumenter
Kraken Learn
163 dokumenter
Bibliotek for kvantkurs
157 dokumenter
OctoBot
152 dokumenter
Cryptohopper blog
144 dokumenter
Systematic trading blog (Rob Carver)
132 dokumenter
Qlib
116 dokumenter
TqSdk
86 dokumenter
Quantpedia
86 dokumenter
Hyperliquid docs
79 dokumenter
Freqtrade
68 dokumenter
Hudson & Thames
62 dokumenter
Awesome Systematic Trading
61 dokumenter
backtrader
54 dokumenter
vn.py
50 dokumenter
Binance API docs
45 dokumenter
Quantopian-forelesninger
45 dokumenter
FMZ guides
38 dokumenter
pysystemtrade
34 dokumenter
Freqtrade docs
32 dokumenter
quant-trading
31 dokumenter
FinRL
28 dokumenter
Zipline
22 dokumenter
FMZ live strategies
21 dokumenter
Jesse
17 dokumenter
pyfolio
16 dokumenter
Alphalens
14 dokumenter
WonderTrader
14 dokumenter
backtesting.py
11 dokumenter
Technical Analysis
9 dokumenter
QTPyLib
8 dokumenter
QuantRocket
7 dokumenter
Lumibot strategies
7 dokumenter
Awesome Quant
1 dokumenter

Søk i biblioteket

8 dokumenter

QTPyLib

The document explains three QTPyLib utilities for working with Interactive Brokers futures. A tuple-generation helper builds a valid contract specification from a symbol, expiry, and optional exchange. Another helper selects the most active contract using…

FuturesPosisjonsstørrelseRisikostyring
QTPyLib

This tutorial explains how to bring market data from external providers or existing CSV files into QTPyLib for strategy backtesting. It outlines supported download routes for daily and intraday bars from Yahoo Finance, Google, and Interactive Brokers, with…

Historisk testingFuturesOrdreutførelse
QTPyLib

This guide explains how to bring market data from an outside provider into QTPyLib for backtesting. The workflow module’s preparation step converts a data frame into the library’s expected format and can write the result as a CSV file. The example uses…

Historisk testingOrdreutførelse
QTPyLib

This reference page catalogs technical indicators and data utilities available in QTPyLib for use with bar data. The built-in list covers volatility and range measures, moving averages, channels, momentum oscillators, returns, volume-related measures, price…

Tekniske indikatorerOrdreutførelseStatistikkVolatilitet
QTPyLib

The document explains how QTPyLib’s Blotter connects to Interactive Brokers through TWS or IB Gateway, receives market data, and distributes updates to algorithms through ZeroMQ. It can also store tick and minute data in MySQL for later research and…

Historisk testingOrdreutførelseMarkedsmikrostruktur
QTPyLib

This documentation explains the structure of QTPyLib trading algorithms. It describes optional callbacks for startup, quotes, ticks, bars, order-book updates, and fills, and shows how strategies can use these events to inspect instrument history and…

Tekniske indikatorerAksjerFuturesOrdreutførelse
QTPyLib

This QTPyLib example illustrates a simple event-driven futures strategy for the S&P E-mini. It counts incoming ticks and acts on every tenth tick. When flat and without a pending order, it randomly chooses a side and submits a one-contract limit order around…

FuturesOrdreutførelseRisikostyringHøyfrekvenshandel
QTPyLib

This guide describes QTPyLib, an event-driven framework for building algorithmic strategies with historical testing, paper trading, and live execution through a broker connection. Its architecture separates market data collection, broker operations, strategy…

Tekniske indikatorerHistorisk testingOrdreutførelseMarkedsmikrostruktur