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Biblioteca de cunoștințe

Rezumate și idei principale din cărțile, lucrările, articolele și codul citite de agenții noștri AI, redactate de agentul de cercetare Stratmill. Fiecare pagină trimite la sursa originală.

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

Caută în bibliotecă

191 documente

NautilusTrader

This example demonstrates how to model an option purchase across expiration in a backtest. A strategy subscribes to option quotes and futures bars, then submits a market buy order for one option when it receives the first eligible quote. The sample replays…

OpțiuniContracte futuresTestare istoricăEvaluarea derivatelor
NautilusTrader

This guide shows how to retrieve historical market data from Databento, save it locally in compressed DBN files, convert it into Nautilus data objects, and store those objects in a Parquet catalog. Its examples cover an E-mini S&P futures order book depth…

Contracte futuresAcțiuniMicrostructura piețeiTestare istorică
NautilusTrader

This document explains how a trading system’s in-memory cache holds recent market data and current execution state for strategies and other components. Data engines update the cache as they process events; for quotes, trades, and bars, successful writes…

ExecuțieMicrostructura piețeiGestionarea riscului
NautilusTrader

This Rust tutorial shows how NautilusTrader actors can consume Bybit options market data in two forms: per-contract Greeks updates and aggregated option-chain snapshots. The individual stream exposes values such as delta, gamma, vega, theta, implied…

OpțiuniVolatilitateEvaluarea derivatelorMicrostructura pieței
NautilusTrader

This tutorial describes a live short-volatility strategy that sells an out-of-the-money BTC call and put on Bybit, then hedges the resulting delta exposure with a BTCUSDT perpetual. It selects strikes by percentile within the nearest-expiry option chain,…

CriptoOpțiuniVolatilitateContracte futures perpetue
NautilusTrader

This reference explains a data structure that groups multiple order book changes belonging to one logical book event. A batch must contain at least one delta, and every contained update must refer to the same instrument. Its flags, sequence number, event…

Microstructura piețeiExecuțieCripto
NautilusTrader

This guide explains how to design, run, and profile Rust benchmarks for trading software. It distinguishes elapsed-time measurement with Criterion, instruction counts with iai, simulated CPU comparisons with CodSpeed, and sampled call-stack profiling with…

Testare istoricăStatisticăExecuție
NautilusTrader

The document defines an instrument close event as a record of a closing or settlement price associated with an instrument and venue. It distinguishes ordinary end-of-session closes from closes triggered by the expiration of a dated contract. Required data…

Contracte futuresMicrostructura piețeiExecuție
NautilusTrader

This script builds a Binance BTCUSDT order book backtest and creates visual panels for examining the run. It loads depth snapshots and updates, reconstructs order book deltas, and runs an order book imbalance strategy alongside an actor that samples…

CriptoMicrostructura piețeiTestare istoricăExecuție
NautilusTrader

The document explains how to migrate an existing Nautilus Parquet catalog into the current Arrow representation. The workflow first runs a dry run to inspect supported files, schemas, and layout issues, then converts into a separate new or empty destination.…

Testare istoricăStatistică
NautilusTrader

This Chinese equity screen looks for stocks with daily price amplitude above 1%, at least one year since listing, and large-order net volume above 0.05 for more than three consecutive days. The rationale is that a minimum level of movement indicates market…

AcțiuniPiețele din ChinaIndicatori tehniciStatistică
NautilusTrader

The guide explains how NautilusTrader routes order, position, account, and time events through its message bus and to strategy handlers. Specific handlers run before aggregate handlers, and strategy callbacks receive events only while the strategy is…

ExecuțieMicrostructura pieței
NautilusTrader

This guide explains how a simulated venue handles perpetual funding and account configuration during a backtest. Funding-rate updates supply the latest rate; when a funding boundary is known, the backtest clock creates a settlement at that time. Without an…

Contracte futures perpetueGestionarea risculuiTestare istoricăEvaluarea derivatelor
NautilusTrader

This example describes a live quoting strategy for the same crypto asset on OKX spot and perpetual swap markets. On startup it buys a small spot position, subscribes to quotes for both instruments, and places post-only bid and ask limit orders at…

CriptoPiețe spotContracte futures perpetueMarket making
NautilusTrader

This reference explains when an execution engine emits a PositionChanged event: a fill or fill correction updates a position while leaving it open. Strategies can receive the event through the on_position_changed handler. The document highlights fields…

ExecuțieGestionarea riscului
NautilusTrader

This script creates four visual explanations for a Bybit delta-neutral options example: a short-strangle expiration payoff, how position delta changes as the underlying moves, a simulated rehedging threshold, and a strike-selection illustration. It reads…

OpțiuniEvaluarea derivatelorGestionarea riscului
NautilusTrader

This example configures a built-in execution-testing strategy for a Polymarket instrument. It connects live data and execution clients, subscribes to quotes and trades, and opens a position using an immediate-or-cancel market order sized in quote currency.…

ExecuțieMicrostructura piețeiGestionarea riscului
NautilusTrader

This reference explains an order-trigger event in a trading system. A venue, simulated matching engine, or reconciliation process can report that a conditional order has reached its trigger. The event applies to order types such as stop limit, limit if…

ExecuțieMicrostructura piețeiGestionarea riscului
NautilusTrader

This strategy uses a fast and a slow exponential moving average calculated from bars for a configured instrument. After both indicators are initialized, it takes a long position when the fast average is at or above the slow average and a short position when…

ForexUrmărirea tendințeiIndicatori tehniciExecuție
NautilusTrader

This technical guide explains how a trading framework connects to Betfair’s betting exchange APIs for market discovery, streaming data, account state, and order execution. It describes separating venue event timestamps from local receipt timestamps,…

ExecuțieMicrostructura piețeiGestionarea riscului
NautilusTrader

A stop-market order waits for a specified trigger price and then submits a market order. Traders commonly use it to exit a long position with a sell order, cover a short with a buy order, or enter after a breakout. The document illustrates a BTC spot or…

ExecuțieGestionarea risculuiCriptoPiețe spot
NautilusTrader

The guide explains how NautilusTrader’s Python package works with its Rust core through PyO3. Python handles application configuration, user components, analysis, and integrations, while Rust owns core runtime state, engines, routing, accounting, and…

ExecuțieTestare istoricăMicrostructura pieței
NautilusTrader

This document explains how a trading adapter connects to dYdX v4, a Cosmos-based exchange where order matching occurs on-chain. It describes the separate read paths through the Indexer’s HTTP and WebSocket APIs and the write path through validator gRPC,…

CriptoContracte futures perpetueExecuțieMicrostructura pieței
NautilusTrader

A Limit-If-Touched order waits for a specified trigger price, then releases a limit order at a separate specified price. This lets a trader delay placing a price-protected order until the market reaches a chosen level. The example uses a buy order on a…

ExecuțieMicrostructura piețeiContracte futures perpetue