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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
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
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
Dokumentu skaits: 219
Robot Wealth
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NautilusTrader
Dokumentu skaits: 191
Hummingbot docs
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Paradigm research
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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
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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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QuantRocket
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Lumibot strategies
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Awesome Quant
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Meklēt bibliotēkā

Dokumentu skaits: 191

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…

KriptoaktīviTehniskie indikatoriVēsturisko datu pārbaudeRīkojumu izpilde
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…

IzejvielasPerpetuālie nākotnes līgumiTirgus mikrostruktūraVēsturisko datu pārbaude
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…

Valūtu tirgusKriptoaktīviTūlītējo darījumu tirgiRīkojumu izpilde
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…

Rīkojumu izpildeRiska pārvaldībaTirgus mikrostruktūra
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…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriTirgus mikrostruktūraRīkojumu izpilde
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…

Rīkojumu izpildeTirgus mikrostruktūraNākotnes līgumiKriptoaktīvi
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…

Vēsturisko datu pārbaudeRīkojumu izpildeTirgus mikrostruktūraStatistika
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…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaRiska pārvaldībaStatistika
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,…

Tirgus mikrostruktūraRīkojumu izpildeRiska pārvaldība
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…

Valūtu tirgusAtgriešanās pie vidējās vērtībasTehniskie indikatoriVēsturisko datu pārbaude
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…

Riska pārvaldībaPozīcijas apjoma noteikšanaPortfeļa veidošanaAtvasināto instrumentu cenu noteikšana
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…

OpcijasAtvasināto instrumentu cenu noteikšanaRiska pārvaldībaVēsturisko datu pārbaude
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,…

Vēsturisko datu pārbaudeRīkojumu izpildeTirgus mikrostruktūraVairāku aktīvu tirdzniecība
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,…

Rīkojumu izpildeRiska pārvaldībaPozīcijas apjoma noteikšanaTirgus mikrostruktūra
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…

Valūtu tirgusVēsturisko datu pārbaudeRīkojumu izpilde
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…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
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.…

Vēsturisko datu pārbaudeRīkojumu izpildeTirgus mikrostruktūraPortfeļa veidošana
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…

OpcijasAtvasināto instrumentu cenu noteikšanaSvārstīgumsRiska pārvaldība
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…

Nākotnes līgumiIzejvielasAtvasināto instrumentu cenu noteikšanaTirgus mikrostruktūra
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…

Vēsturisko datu pārbaudeRīkojumu izpildeRiska pārvaldība
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…

KriptoaktīviPerpetuālie nākotnes līgumiRiska pārvaldībaVēsturisko datu pārbaude
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…

Tirgus mikrostruktūraTehniskie indikatoriVēsturisko datu pārbaude
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…

Nākotnes līgumiVēsturisko datu pārbaudeRīkojumu izpilde