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Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

Quant Q&A
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SuperMind
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OKX Learn
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Strategy library
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MQL5 code base
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BigQuant
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Bitget Academy
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MQL5 articles
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TradingView scripts
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ProRealCode
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Deribit Insights
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Machine Learning for Trading
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arXiv papers
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Amberdata research
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FMZ forum
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FMZ digest
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vn.py community
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QuantInsti blog
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Galaxy Research
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QuantStart
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Stratmill research code
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Robot Wealth
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NautilusTrader
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Hummingbot docs
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Paradigm research
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Lumibot
Dokumentu skaits: 164
Kraken Learn
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Kvantitatīvās tirdzniecības kursu bibliotēka
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OctoBot
Dokumentu skaits: 152
Cryptohopper blog
Dokumentu skaits: 144
Systematic trading blog (Rob Carver)
Dokumentu skaits: 132
Qlib
Dokumentu skaits: 116
TqSdk
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Quantpedia
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Hyperliquid docs
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Freqtrade
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Hudson & Thames
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Awesome Systematic Trading
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backtrader
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vn.py
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Binance API docs
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Quantopian lekcijas
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FMZ guides
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pysystemtrade
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Freqtrade docs
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quant-trading
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FinRL
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Zipline
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FMZ live strategies
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Jesse
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pyfolio
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WonderTrader
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Alphalens
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backtesting.py
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Technical Analysis
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QTPyLib
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Lumibot strategies
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QuantRocket
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Awesome Quant
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Meklēt bibliotēkā

Dokumentu skaits: 191

NautilusTrader

The document explains configuration conventions in NautilusTrader, covering typed settings for data and execution clients, engines, and strategies. It distinguishes concrete fields from optional fields, whose absent values can mean disabled behavior, an…

Rīkojumu izpildeRiska pārvaldība
NautilusTrader

The guide explains how NautilusTrader connects to Bybit for live market data and order execution across spot, linear and inverse contracts, and options. It describes product-specific symbol suffixes, instrument loading, and the differences among mainnet,…

KriptoaktīviRīkojumu izpildeTirgus mikrostruktūraTūlītējo darījumu tirgi
NautilusTrader

This technical reference explains how an order-expiry event is processed in an execution pipeline. The event is applied to the order, updates the cache, and is published on the message bus. It may originate from a venue, a simulated matching engine, or…

Rīkojumu izpildeTirgus mikrostruktūra
NautilusTrader

This guide describes NautilusTrader’s system for turning completed backtests into interactive or static performance reports. Users can select charts and themes, include run metadata and performance statistics, and inspect equity, drawdown, monthly and yearly…

Vēsturisko datu pārbaudeRiska pārvaldībaPortfeļa veidošana
NautilusTrader

The document explains how a trading system can represent a tokenized asset that tracks an external security, such as a stock or fund traded on a crypto venue. It defines the instrument’s identity, currencies, asset classification, price and quantity…

KriptoaktīviAkcijasTūlītējo darījumu tirgiTirgus mikrostruktūra
NautilusTrader

This guide describes how NautilusTrader builds and maintains positions from fills. It covers signed exposure, average entry and exit prices, realized and unrealized PnL, commissions, funding adjustments, and closure when net quantity reaches zero. It…

Rīkojumu izpildeRiska pārvaldībaPozīcijas apjoma noteikšanaPerpetuālie nākotnes līgumi
NautilusTrader

This engineering guide explains how to build Rust-native adapters that connect NautilusTrader to exchanges and data providers. It covers venue-specific data and execution clients, configuration and Python exposure through PyO3, plus contracts for…

Rīkojumu izpildeTirgus mikrostruktūraRiska pārvaldībaVēsturisko datu pārbaude
NautilusTrader

An index price is an external reference value associated with an instrument. Derivatives venues may use it when calculating mark prices, funding, or settlement values. The update described here records the instrument, current price, event time, and…

Nākotnes līgumiPerpetuālie nākotnes līgumiAtvasināto instrumentu cenu noteikšana
NautilusTrader

This example outlines a staged workflow for obtaining option data through an Interactive Brokers connection. It configures an instrument provider for an underlying futures contract and a put option, then checks whether the gateway or trading workstation is…

OpcijasNākotnes līgumiAtvasināto instrumentu cenu noteikšanaRīkojumu izpilde
NautilusTrader

This reference describes a data record for venue-provided option sensitivities and implied volatility associated with one option instrument. It includes delta, gamma, vega, theta, and rho, along with optional mark, bid, and ask implied volatility, underlying…

OpcijasAtvasināto instrumentu cenu noteikšanaSvārstīgumsTirgus mikrostruktūra
NautilusTrader

This document explains how a backtest matching engine assigns fill prices across depth books, top-of-book data, and bar-based triggers. Market orders can walk available levels; limit orders use crossed prices when taking liquidity and their limit when…

Vēsturisko datu pārbaudeRīkojumu izpildeTirgus mikrostruktūraRiska pārvaldība
NautilusTrader

This example describes a live data actor that subscribes to a slice of Bybit BTC options. At startup, it searches cached instruments for unexpired Bybit options, selects the soonest expiry, prefers USDT settlement when available, and constructs the…

KriptoaktīviOpcijasAtvasināto instrumentu cenu noteikšanaRīkojumu izpilde
NautilusTrader

An order book delta represents one incremental change to a book and is used when a venue or data provider sends updates that a trading system must apply locally. The document distinguishes three supported granularities: order-level Level 3 data, price-level…

Tirgus mikrostruktūraRīkojumu izpilde
NautilusTrader

This documentation explains how an execution algorithm receives a primary order and can break it into spawned orders. Its built-in TWAP implementation divides an order across a configured time horizon and interval, submitting the first slice immediately and…

Rīkojumu izpildeTirgus mikrostruktūraRiska pārvaldībaVēsturisko datu pārbaude
NautilusTrader

This example demonstrates an execution test that streams public Binance spot market data into a local sandbox matching engine. The built-in strategy opens a position with an immediate-or-cancel order, maintains post-only buy and sell limit quotes, then…

Rīkojumu izpildeTirgus mikrostruktūraTūlītējo darījumu tirgiRiska pārvaldība
NautilusTrader

The document explains an account-state object used to represent a snapshot of balances and margin information. Such snapshots can arrive from venue updates through an execution client or be calculated by a portfolio after a position change when calculation…

Riska pārvaldībaPortfeļa veidošana
NautilusTrader

This example configures a strategy that monitors top-of-book order imbalance for a perpetual gold instrument and submits sandbox orders when configured thresholds are met. Its settings specify a maximum trade size, a minimum size for triggering, an imbalance…

Tirgus mikrostruktūraRīkojumu izpildePerpetuālie nākotnes līgumi
NautilusTrader

This example shows how to run an options backtest from a catalog containing option instruments, quote ticks, and Greeks. It subscribes to periodic option-chain snapshots for a chosen series and selects a contract either at a specified strike or near a target…

OpcijasAtvasināto instrumentu cenu noteikšanaVēsturisko datu pārbaudeRīkojumu izpilde
NautilusTrader

This reference explains how to model an exchange-defined crypto futures spread as one tradable instrument. It lists required metadata such as the underlying asset, quote and settlement currencies, venue symbol, strategy type, activation and expiration times,…

KriptoaktīviNākotnes līgumiAtvasināto instrumentu cenu noteikšanaTirgus mikrostruktūra
NautilusTrader

This example configures a live trading framework to connect to Derive’s test environment and exercise its built-in execution tester on an ETH perpetual instrument. At startup, the strategy can open a position using an immediate-or-cancel order and maintain…

Rīkojumu izpildePerpetuālie nākotnes līgumiTirgus mikrostruktūra
NautilusTrader

The document defines a generic perpetual contract instrument for perpetual swaps that are not represented by a crypto-specific contract type. It describes the metadata needed to model one consistently across venues: instrument identity, underlying and asset…

Perpetuālie nākotnes līgumiAtvasināto instrumentu cenu noteikšanaValūtu tirgusTirgus mikrostruktūra
NautilusTrader

This quickstart walks through a bar-based exponential moving average crossover strategy in a backtesting engine. The strategy waits for its fast and slow averages to initialize, then buys when the fast average is at or above the slow one and sells when it is…

Valūtu tirgusSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
NautilusTrader

The script runs an EMA-crossover backtest on USD/JPY five-minute bid bars built from one-minute FXCM data. It configures a simulated margin venue, balances, fees, rollover interest, and probabilistic fills, then collects bars and fills from the engine. The…

Valūtu tirgusTehniskie indikatoriVēsturisko datu pārbaudeRīkojumu izpilde
NautilusTrader

This document describes an adapter for collecting DeFi data from EVM blockchains and making it available through a trading system’s data model. It covers historical and live block feeds, DEX pool discovery, pool event replay, snapshots, and an experimental…

KriptoaktīviDeFiRīkojumu izpildeTirgus mikrostruktūra