Pāriet uz saturu

Zināšanu bibliotēka

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

Meklēt bibliotēkā

Dokumentu skaits: 191

NautilusTrader

The document explains how venue adapters connect exchange APIs to a trading system’s shared data and execution engines. It describes the typical roles of HTTP and WebSocket clients, instrument providers, data clients, and execution clients, then shows how…

Rīkojumu izpildeTirgus mikrostruktūraRiska pārvaldība
NautilusTrader

This example sets up a backtest for a Bitcoin to USDT market on Binance using level two market-by-price order book snapshots and updates. It configures a cash account with BTC and USDT balances, a maker taker fee model, and an order book imbalance strategy.…

KriptoaktīviTirgus mikrostruktūraVēsturisko datu pārbaudeRīkojumu izpilde
NautilusTrader

This reference explains how to represent a contract for difference as a trading instrument. A CFD tracks an underlying asset without transferring ownership; the venue determines its quote currency, precision, increments, order limits, margin settings, and…

Atvasināto instrumentu cenu noteikšanaRiska pārvaldībaRīkojumu izpilde
NautilusTrader

The tutorial explains how to backtest a mean-reversion strategy on EUR/USD perpetual futures using TrueFX spot ticks as proxy data. It builds one-minute mid-price bars, then combines a 20-period Bollinger Band with a 14-period RSI: a lower-band touch with…

Valūtu tirgusAtgriešanās pie vidējās vērtībasTehniskie indikatoriVēsturisko datu pārbaude
NautilusTrader

This reference explains the order-pending-update event used after a system sends a modify-order request. The execution engine applies the request to the order, updates its cache, and publishes the event while waiting for the venue to acknowledge the change.…

Rīkojumu izpildeTirgus mikrostruktūra
NautilusTrader

This example demonstrates borrow conflicts that can occur when Python actor callbacks reenter signal operations in a backtesting engine. A subscribing actor subscribes during startup and, in the signal scenario, publishes a nested signal from its callback…

Vēsturisko datu pārbaudeRīkojumu izpilde
NautilusTrader

This example configures a composite market-making strategy that uses NVDA equity quotes as its signal and quotes an NVDA perpetual contract on Lighter. The settings specify a maximum position and trade size, a half-spread, inventory and signal skew factors,…

Tirgus veidošanaPerpetuālie nākotnes līgumiAkcijasRīkojumu izpilde
NautilusTrader

An OrderFilled event represents an execution against an order, whether the execution completes the order or only fills part of it. The execution engine applies the event to the order, updates the cache, and publishes it through the message bus. Fills can…

Rīkojumu izpildeTirgus mikrostruktūra
NautilusTrader

A market order tells a venue to execute a specified quantity promptly at the best available price. The document outlines when traders might use one, such as urgent risk reduction or entering a liquid, fast-moving market, and shows how an order can include…

Rīkojumu izpildeValūtu tirgusTirgus mikrostruktūraRiska pārvaldība
NautilusTrader

This reference explains the fields used to describe a listed put or call on a non-crypto underlying. It covers contract identity, underlying asset, option type, strike, activation and expiration times, premium currency, price precision, minimum price…

OpcijasAtvasināto instrumentu cenu noteikšana
NautilusTrader

This example configures a live market-making strategy for an NVDA perpetual contract on Lighter, using NVDA equity quotes from Databento as an external signal. The strategy combines a configured half-spread with inventory and signal skew, limits position…

Tirgus veidošanaPerpetuālie nākotnes līgumiAkcijasRīkojumu izpilde
NautilusTrader

The document explains how NautilusTrader connects to Tardis historical files, Tardis Machine streams, and the Tardis API. It describes loading normalized CSV data, replaying historical feeds into Parquet catalogs, and configuring live or replay clients. A…

KriptoaktīviTirgus mikrostruktūraRīkojumu izpildeAtvasināto instrumentu cenu noteikšana
NautilusTrader

This brief quickstart introduces a minimal Rust live node that connects a Lighter data client to public Testnet market streams and runs a built-in data tester. It is intended to confirm that the data path works before adding trading functionality. The guide…

Rīkojumu izpildeTirgus mikrostruktūra
NautilusTrader

This guide describes setup paths for connecting a Rust or Python application to Lighter through a live trading node. It recommends establishing public market-data subscriptions first, using tester actors to check client wiring, and then adding an execution…

Rīkojumu izpildeTirgus mikrostruktūraTirgus veidošanaRiska pārvaldība
NautilusTrader

The document explains how a simulated trading engine processes each market-data point in three stages: the exchange matches existing orders against the updated market, strategies receive the data and can issue commands, and venues settle eligible commands…

Vēsturisko datu pārbaudeRīkojumu izpildeTirgus mikrostruktūraRiska pārvaldība
NautilusTrader

QuoteTick represents a single instrument’s best available bid and ask, including the displayed size at each price and event and initialization timestamps. The document specifies the required fields and describes precision constraints: bid and ask prices must…

Tirgus mikrostruktūraRīkojumu izpilde
NautilusTrader

This guide explains how a backtest engine turns each OHLCV bar into four synthetic book updates, processes resting orders along that path, and dispatches the completed bar to strategies afterward. It covers timestamp conventions, venue and book requirements,…

Vēsturisko datu pārbaudeRīkojumu izpildeTirgus mikrostruktūra
NautilusTrader

This example shows how to configure a live trading node to test order handling on the Deribit testnet. At startup, the built-in tester can open a position with an immediate-or-cancel order, then maintain post-only limit orders on both sides of the book. It…

KriptoaktīviRīkojumu izpildeTirgus mikrostruktūra
NautilusTrader

This guide describes connecting to AX Exchange, a regulated venue for derivatives on traditional asset classes. It outlines perpetual and dated futures, including USD cash settlement, funding payments, contract sizing, margin, and how the adapter maps venue…

Nākotnes līgumiPerpetuālie nākotnes līgumiRīkojumu izpildeTirgus mikrostruktūra
NautilusTrader

This document describes a plotting workflow for examining Betfair backtest logs that record bid and ask volumes by runner. It extracts periodic batch volumes and cumulative imbalance, then creates three visual views: imbalance over successive updates, the…

Tirgus mikrostruktūraStatistikaVēsturisko datu pārbaude
NautilusTrader

This guide explains how a backtest engine can use trade ticks as evidence for executing resting orders, and how that behavior changes with L1, L2, or L3 market data. Trade aggressor direction determines which passive side can be filled. The guide describes…

Rīkojumu izpildeTirgus mikrostruktūraVēsturisko datu pārbaude
NautilusTrader

This technical reference describes an OKX integration for market data and order execution across spot, margin, perpetual swaps, dated futures, options, spreads, and event contracts. It outlines the adapter's data and execution components, instrument loading…

KriptoaktīviNākotnes līgumiOpcijasRīkojumu izpilde
NautilusTrader

This example shows how to configure a multi-venue backtest with distinct account and execution settings. It builds a probabilistic fill model with limit-fill and slippage probabilities, a static latency model with separate delays for order insertion,…

Vēsturisko datu pārbaudeRīkojumu izpildeTirgus mikrostruktūraRiska pārvaldība
NautilusTrader

This integration guide describes a Rust and Python adapter for connecting NautilusTrader to Coinbase Advanced Trade. It covers live market data and order execution for spot products and Coinbase Financial Markets derivatives, including perpetual swaps and…

KriptoaktīviTūlītējo darījumu tirgiPerpetuālie nākotnes līgumiNākotnes līgumi