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Kennisbibliotheek

Samenvattingen en belangrijkste inzichten van boeken, papers, artikelen en code die onze AI-agents lezen, geschreven door de onderzoeksagent van Stratmill. Elke pagina verwijst naar het origineel.

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

Doorzoek de bibliotheek

191 documenten

NautilusTrader

This example shows how to set up a crypto strategy backtest using Binance ETHUSDT trade ticks. It loads trade data from a CSV, registers the instrument and a cash account, and configures a maker taker fee model with equal stated rates. The example strategy…

CryptoTechnische indicatorenBacktestenOrderuitvoering
NautilusTrader

This tutorial describes a short-term order book imbalance strategy for a gold perpetual contract. It uses CME gold futures best bid and ask quotes as a proxy for the exchange contract, then triggers fill-or-kill orders toward the thinner side when the bid…

GrondstoffenPerpetuele futuresMarktmicrostructuurBacktesten
NautilusTrader

The document explains how a currency pair represents a spot or cash instrument quoted as base currency against quote currency. It distinguishes the asset being traded from the currency used to price it, and describes how the instrument type can represent…

ValutahandelCryptoSpotmarktenOrderuitvoering
NautilusTrader

This guide explains how a live trading system rebuilds and checks its internal order and position state against venue reports. At startup, it uses cached state when available, or creates state from venue orders and positions. During runtime, recurring checks…

OrderuitvoeringRisicobeheerMarktmicrostructuur
NautilusTrader

The document presents two example automated strategies. The first combines Bollinger Bands with RSI: it enters long when price closes at or below the lower band and RSI is below a configurable threshold, and enters short when price reaches the upper band…

Terugkeer naar het gemiddeldeTechnische indicatorenMarktmicrostructuurOrderuitvoering
NautilusTrader

A limit order rests in the order book at a chosen price and can execute only at that price or a more favorable one. Traders can use it to control execution price, provide liquidity, make markets, scale into or out of positions, or seek maker fees when…

OrderuitvoeringMarktmicrostructuurFuturesCrypto
NautilusTrader

This document sets out how contributors should measure and report performance in trading software. It distinguishes small hot-path microbenchmarks from scenario benchmarks that approximate larger user workflows, and argues that benchmarks should represent…

BacktestenOrderuitvoeringMarktmicrostructuurStatistiek
NautilusTrader

The document explains how a trading portfolio values positions, converts PnL and exposure across currencies, calculates equity, and records account snapshots. It describes price and exchange-rate selection, including mark prices, side-specific quotes, last…

Multi-assetPortefeuilleconstructieRisicobeheerStatistiek
NautilusTrader

The document explains a data object for recording changes in an instrument's venue trading state. It includes the instrument identifier, a normalized status action, event and initialization timestamps, and optional fields for a reason, venue event label,…

MarktmicrostructuurOrderuitvoeringRisicobeheer
NautilusTrader

This script runs a NautilusTrader backtest of a Bollinger Band and RSI mean-reversion strategy on EUR/USD perpetual contract quotes. It reads TrueFX bid and ask ticks, builds a margin venue with a starting balance and maker/taker fees, and aggregates data…

ValutahandelTerugkeer naar het gemiddeldeTechnische indicatorenBacktesten
NautilusTrader

This reference explains how an engine represents cash, margin, betting, and wallet accounts across backtests and live trading. It defines total, locked, and free balances and requires them to reconcile at currency precision. It also describes how pending…

RisicobeheerPositiegroottePortefeuilleconstructiePrijsbepaling van derivaten
NautilusTrader

The document explains two ways to obtain option sensitivities in a trading system: consume venue-reported Greeks, or calculate Black-Scholes values from cached market data. Venue values can be subscribed to, stored, and replayed as market data. The local…

OptiesPrijsbepaling van derivatenRisicobeheerBacktesten
NautilusTrader

The overview describes a multi-asset trading platform that uses a Rust core for event-driven processing and Python for strategy control and system orchestration. Its central design idea is to use common strategy and execution components across research,…

BacktestenOrderuitvoeringMarktmicrostructuurMulti-asset
NautilusTrader

This documentation explains how NautilusTrader routes order commands from strategies through emulators or execution algorithms, risk checks, the execution engine, and venue clients. It distinguishes command paths for submissions, modifications,…

OrderuitvoeringRisicobeheerPositiegrootteMarktmicrostructuur
NautilusTrader

This example shows how to assemble and run a small backtest for an EUR/USD strategy. It creates artificial one-minute bars: an initial bar followed by a sequence of rising bars and then falling bars, with prices shifted by a fixed number of ticks and…

ValutahandelBacktestenOrderuitvoering
NautilusTrader

This Chinese-language post outlines a stock screen for companies in the metaverse theme whose prior-day price is above the 250-day moving average and whose price-to-earnings ratio is positive. The stated rationale combines a thematic category, a long-term…

AandelenChinese marktenTechnische indicatorenFactorbeleggen
NautilusTrader

The roadmap describes NautilusTrader’s priorities as a production-oriented algorithmic trading engine. Its main plans are to stabilize the Rust runtime and Python bindings, improve documentation and tutorials, and make APIs and configuration easier to use.…

BacktestenOrderuitvoeringMarktmicrostructuurPortefeuilleconstructie
NautilusTrader

This plotting script creates four explanatory visuals for an ETH short-strangle options example. The panels show expiry profit and loss for a short put and call, how the combined option delta may change as spot moves, how a threshold-triggered hedge could…

OptiesPrijsbepaling van derivatenVolatiliteitRisicobeheer
NautilusTrader

This reference explains how an exchange-defined futures spread is represented as a single tradable instrument, including calendar and inter-commodity spreads. The venue supplies the strategy symbol, tick size, expiry, and other contract details. The…

FuturesGrondstoffenPrijsbepaling van derivatenMarktmicrostructuur
NautilusTrader

This documentation explains a trading platform’s logging architecture and configuration for both backtests and live systems. Python and platform events pass through a logger into a multi-producer, single-consumer queue, then a dedicated thread writes them to…

BacktestenOrderuitvoeringRisicobeheer
NautilusTrader

This reference explains a mark price update as a data record for an instrument’s current mark price. The record includes an instrument identifier, price value, event timestamp, and initialization timestamp. It distinguishes mark prices from trade…

CryptoPerpetuele futuresRisicobeheerBacktesten
NautilusTrader

This overview explains NautilusTrader’s market data types, order book levels, event flags, instruments, and bar construction. It distinguishes order by order L3 books from aggregated L2 books and top of book L1 books. Delta flags mark snapshot content and…

MarktmicrostructuurTechnische indicatorenBacktesten
NautilusTrader

This example demonstrates how to model a futures contract reaching expiry in a backtest. It loads instrument definitions and best bid and offer quote data for two consecutive E-mini S&P 500 contracts, then submits a market buy for one expiring-contract unit…

FuturesBacktestenOrderuitvoering