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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
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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
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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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Alphalens
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WonderTrader
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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

The document explains how order lists group orders and how OTO, OCO, and OUO relationships coordinate child activation, cancellation, or quantity changes. The behavior depends on the matching engine, emulator, adapter, venue, or strategy logic, so metadata…

Rīkojumu izpildeRiska pārvaldībaPozīcijas apjoma noteikšanaAtvasināto instrumentu cenu noteikšana
NautilusTrader

This example sets up a backtest of an exponential moving average crossover on Binance’s Bitcoin perpetual market. It loads the instrument, configures a margin account with a maker and taker fee model, supplies one minute bar data from a CSV file, and…

KriptoaktīviPerpetuālie nākotnes līgumiTehniskie indikatoriVēsturisko datu pārbaude
NautilusTrader

This document defines a funding-rate update record for a perpetual swap instrument. It identifies the instrument and rate, and may include the funding interval and next scheduled funding timestamp when supplied by the venue. Event and initialization…

Perpetuālie nākotnes līgumiAtvasināto instrumentu cenu noteikšana
NautilusTrader

The document presents a plotting utility for examining a dYdX grid market maker run. It parses logs for mid-price requotes and order submission, acceptance, and cancellation events, then generates panels for theoretical grid levels around the mid-price,…

KriptoaktīviTirgus veidošanaRežģa tirdzniecībaRīkojumu izpilde
NautilusTrader

This example configures a live Coinbase spot execution test for BTC-USDC. At startup, the built-in tester can open a position with an immediate-or-cancel order, then place post-only buy limits below the top of book. It subscribes to quotes and trades, and is…

KriptoaktīviTūlītējo darījumu tirgiRīkojumu izpildeTirgus mikrostruktūra
NautilusTrader

This integration guide explains how a trading system connects to Deribit for market data and order execution. It outlines the division between WebSocket use for streaming and trading operations and HTTP use for instrument loading, historical requests, and…

KriptoaktīviNākotnes līgumiOpcijasRīkojumu izpilde
NautilusTrader

This guide describes a persistence workflow for staging live or backtest records in Feather files and promoting sealed files into a Parquet data catalog. It covers writer and catalog configuration, optional time or size based file rotation, promotion…

Vēsturisko datu pārbaudeRīkojumu izpildeTirgus mikrostruktūra
NautilusTrader

The i-SpectrAnalysis indicator smooths a price series by filtering out higher-order harmonics. The document says the same approach can be applied to other indicator values and presents low delay as its main advantage. Its parameters include a series length,…

Tehniskie indikatoriStatistika
NautilusTrader

This workflow shows how to bring vendor tick data into a NautilusTrader backtest when a dedicated data adapter is unavailable. It reads a supported CSV format, converts rows into quote ticks, sorts them by initialization timestamp, and writes both the…

Valūtu tirgusVēsturisko datu pārbaudeRīkojumu izpildeTirgus mikrostruktūra
NautilusTrader

This example configures a built-in execution tester for an ETH-USD perpetual market on dYdX. On startup, it can open a position with an immediate-or-cancel order, then maintain post-only limit buy and sell quotes offset from the top of book. It subscribes to…

KriptoaktīviPerpetuālie nākotnes līgumiRīkojumu izpildeTirgus mikrostruktūra
NautilusTrader

This example configures a simulated backtest for an AUD/USD moving-average crossover strategy using quote tick data. It creates a margin account, loads historical quotes, and builds internal bars from groups of ticks. The strategy uses a fast and a slow…

Valūtu tirgusTehniskie indikatoriVēsturisko datu pārbaudeRīkojumu izpilde
NautilusTrader

This project introduction explains an architecture for building multi-asset, multi-venue trading systems with a Rust engine and Python control layer. It uses an event-driven runtime for research, deterministic simulation, and live execution, allowing…

Vairāku aktīvu tirdzniecībaVēsturisko datu pārbaudeRīkojumu izpildeTirgus mikrostruktūra
NautilusTrader

This note outlines a mainland China stock screen requiring RSI below 65, a daily gain above 1%, a main-board listing, and first-level bid volume greater than ask volume. Its stated aim is to combine a technical condition and positive price movement with an…

AkcijasTehniskie indikatoriTirgus mikrostruktūraĶīnas tirgi
NautilusTrader

This architecture guide explains how a NautilusTrader node connects market-data clients, strategies, risk controls, execution clients, portfolio state, a cache, and a message bus. It describes an event-driven design with modular adapters and shared core…

Rīkojumu izpildeRiska pārvaldībaTirgus mikrostruktūraVēsturisko datu pārbaude
NautilusTrader

This tutorial demonstrates a Rust backtest that replays historical Betfair exchange data and measures order book volume imbalance for each runner. The actor sums back and lay volumes from book updates, then calculates signed imbalance as the difference…

Vēsturisko datu pārbaudeTirgus mikrostruktūraStatistikaRīkojumu izpilde
NautilusTrader

This tutorial describes running a shared short volatility strategy on Derive. It selects an out-of-the-money ETH call and put at the nearest expiry, tracks venue supplied option Greeks, and offsets net portfolio delta with ETH perpetual orders when exposure…

KriptoaktīviOpcijasSvārstīgumsPerpetuālie nākotnes līgumi
NautilusTrader

This example demonstrates a backtest workflow for market-by-order data. It loads instrument definitions and a short sample of order book deltas, configures a margin account with an L3 market-by-order book, and feeds the data into the engine. A built-in book…

Nākotnes līgumiVēsturisko datu pārbaudeTirgus mikrostruktūra
NautilusTrader

This example sets up a foreign-exchange backtest for an AUD/USD exponential moving average crossover strategy. It loads historical quote ticks, configures a simulated margin account with a USD balance and maker-taker fees, and supplies an FX rollover…

Valūtu tirgusSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
NautilusTrader

This strategy reacts to a large size imbalance between the best bid and best ask in a limit order book. It ignores missing, crossed or incomplete book data and requires both displayed sizes to be positive. A trigger occurs only when the larger queue exceeds…

Tirgus mikrostruktūraRīkojumu izpildeAugstas frekvences tirdzniecībaRiska pārvaldība
NautilusTrader

This reference explains the fields used to represent a dated cryptocurrency futures instrument in a trading system. It covers instrument identity, underlying and quote currencies, settlement currency, inverse status, activation and expiry timestamps, price…

KriptoaktīviNākotnes līgumiAtvasināto instrumentu cenu noteikšana
NautilusTrader

This article argues that traders should generally follow the prevailing stock trend instead of automatically taking the opposite side of popular sentiment. It says countertrend buying during a decline can mean facing persistent selling, while selling into an…

AkcijasSekošana tendenceiTehniskie indikatoriRiska pārvaldība
NautilusTrader

These release notes describe changes to NautilusTrader, a trading platform, including support for negative futures prices except for inverse futures and fixes to risk limits, commission signs, and order handling at negative prices. They also list a Databento…

Nākotnes līgumiTirgus mikrostruktūraTehniskie indikatoriRīkojumu izpilde
NautilusTrader

This integration guide explains how Databento historical files, historical requests, and real-time feeds can be decoded into NautilusTrader market-data objects. It maps supported schemas to data types and describes which feeds fit different research needs:…

Tirgus mikrostruktūraRīkojumu izpildeVēsturisko datu pārbaudeNākotnes līgumi