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Огляди й ключові ідеї книжок, наукових праць, статей і коду, які читають наші ШІ-агенти. Їх підготував дослідницький агент Stratmill. На кожній сторінці є посилання на оригінал.

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
Документів: 766
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
Документів: 219
Robot Wealth
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NautilusTrader
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Hummingbot docs
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Paradigm research
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Lumibot
Документів: 164
Kraken Learn
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Бібліотека курсів з квантового трейдингу
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OctoBot
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Cryptohopper blog
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Systematic trading blog (Rob Carver)
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Qlib
Документів: 116
TqSdk
Документів: 86
Quantpedia
Документів: 86
Hyperliquid docs
Документів: 79
Freqtrade
Документів: 68
Hudson & Thames
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Awesome Systematic Trading
Документів: 61
backtrader
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vn.py
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Binance API docs
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Лекції Quantopian
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FMZ guides
Документів: 38
pysystemtrade
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Freqtrade docs
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quant-trading
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FinRL
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Zipline
Документів: 22
FMZ live strategies
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Jesse
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pyfolio
Документів: 16
Alphalens
Документів: 14
WonderTrader
Документів: 14
backtesting.py
Документів: 11
Technical Analysis
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QTPyLib
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QuantRocket
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Lumibot strategies
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Awesome Quant
Документів: 1

Пошук у бібліотеці

Документів: 20,364

Quant Q&A

The document recommends Nelson-Siegel and related Diebold-Li models for parameterizing government yield curves. These models describe changing curve shapes, including rising, inverted, flat, and humped forms. Instead of assuming the curve is monotonic or…

Інструменти з фіксованим доходомСтатистикаФормування портфеля
Quant Q&A

Deep bids and asks can serve several purposes beyond immediate execution. Orders near the inside may preserve queue priority, while orders placed far away can potentially capture extreme price moves caused by algorithmic failures or manual entry mistakes.…

Мікроструктура ринкуМаркетмейкінгВиконання ордерів
Quant Q&A

The document discusses consolidating options-on-futures data from Reuters and Bloomberg when the vendors may not share a usable identifier. It proposes constructing an internal key from the underlying contract, maturity or expiry date, put or call type, and…

Ф'ючерсиОпціониМікроструктура ринку
Quant Q&A

The document addresses which implied volatility to use when converting a quoted option delta into a strike. Its guidance is to use the volatility associated with that particular delta, together with the other inputs required by the option-pricing…

ОпціониВолатильністьОцінювання вартості деривативів
Quant Q&A

The document distinguishes a pricing kernel, a stochastic discount factor (SDF), and an SDF process. A pricing kernel is described as a time-indexed stochastic process that makes the price-weighted asset value satisfy a conditional martingale relation.…

Оцінювання вартості деривативівСтатистикаМультиактивна торгівля
Quant Q&A

The document explains how to inspect market data carried in FIX/FAST over UDP. It points to a native C++ decoder based on QuickFAST and describes adapting a sample program to read the captured data. Another option is a Windows FAST codec, with a small…

Мікроструктура ринкуВиконання ордерів
Quant Q&A

The document separates two questions in multi-period value-at-risk scaling: when volatility grows with the square root of time, and whether a local Delta-Gamma approximation preserves that behavior. The scaling rule follows when portfolio profit and loss…

Управління ризикамиСтатистикаОпціониАкції
Quant Q&A

The document outlines a proposed workflow for turning monthly ISM manufacturing sector classifications into a time series that can show an individual sector’s underlying trend. Each month, sectors are ordered from strongest growth through neutral conditions…

СтатистикаРинки СШААкції
Quant Q&A

The document explains why interest rate models often focus on short rates or forward rates rather than introducing a single model for an isolated long rate. The meaning of a long rate depends on the chosen maturity: rates at two, five, or ten years could…

Інструменти з фіксованим доходомОцінювання вартості деривативів
Quant Q&A

The document evaluates a retirement contract by discounting its contributions and later benefits to the same date. It treats the payments as end-of-year cash flows, calculates the present value of the 40 annual contributions, discounts the retirement…

Інструменти з фіксованим доходомСтатистика
Quant Q&A

The document examines why published annualized returns, standard deviations, and Sharpe ratios can be difficult to reproduce. It raises choices that affect the calculation, including sampling frequency, price timing, and simple versus logarithmic returns,…

СтатистикаУправління ризикамиБектестування
Quant Q&A

The document asks how to derive the correlation between the global minimum-variance portfolio and another portfolio on the mean-variance efficient frontier, given their covariance. The answer applies the definition of correlation: divide covariance by the…

Формування портфеляСтатистика
Quant Q&A

The document asks where to find country-level stock market valuation measures, such as CAPE and price-to-earnings ratios, after an earlier source stopped updating. It points readers to two ways to gather comparable information: a regularly updated…

АкціїФакторне інвестуванняМультиактивна торгівля
Quant Q&A

The document explains the intuition behind buying an option when its implied volatility appears lower than a forecast of realized volatility. A long option position has positive gamma: as the underlying rises, its delta increases and a trader can sell some…

ОпціониВолатильністьОцінювання вартості деривативів
Quant Q&A

The document asks what parameter restrictions apply when estimating EGARCH and GJR-GARCH volatility models, contrasting them with the familiar positivity and stationarity conditions for standard GARCH. It presents the two asymmetric model specifications but…

ВолатильністьСтатистика
Quant Q&A

Financial prices often behave as nonstationary series: their statistical properties can depend on the price level and past observations. Returns, calculated as percentage changes or differences in log prices, are more often treated as stationary. That makes…

СтатистикаВолатильністьБектестування
Quant Q&A

CDS index series begin with constituent default swaps set to a five-year tenor. As time passes, the series’ remaining maturity declines, so a contract entered into later has the time left on that series rather than a fresh five-year term. This is the key…

Інструменти з фіксованим доходомОцінювання вартості деривативівМікроструктура ринку
Quant Q&A

The document distinguishes implied-volatility skew across option strikes from skewness in the underlying asset’s return distribution. It presents model-free implied skewness as a measure connected to realized skewness, and describes research finding a…

ОпціониВолатильністьОцінювання вартості деривативівУправління ризиками
Quant Q&A

The document raises a question about changing from the physical probability measure to a risk-neutral measure for a lognormal asset process. It describes the usual setup in which the market price of risk depends on the asset’s physical drift, risk-free rate,…

СтатистикаОцінювання вартості деривативів
Quant Q&A

The document explains the distinction between Zillow Group's Z and ZG tickers by tracing the company's share-class changes. It describes how the ticker assignments changed when Zillow created Class C shares: Class A stock moved to ZG, while Class C stock…

АкціїРинки США
Quant Q&A

The document presents a Python workflow for exploring portfolio risk and return from a table of asset returns. It generates random long-only weights that sum to one, estimates annualized portfolio return and volatility from sample means and covariances, and…

Формування портфеляУправління ризикамиБектестування
Quant Q&A

The document examines how to quote an FX swap when the near and far legs have different notionals. It presents a proposed shortcut based on net spot exposure and far-leg swap points, then compares it with pricing each leg separately. A worked EUR/USD example…

Валютний ринокОцінювання вартості деривативівВиконання ордерів
Quant Q&A

The document explains why covariance matrices must be symmetric and positive semidefinite. It uses three assets with unit variances and pairwise covariances of minus one as an example: the matrix has a negative eigenvalue, so it cannot describe a valid joint…

СтатистикаУправління ризикамиФормування портфеля
Quant Q&A

The response suggests comparing a volatility forecast from a non-normal GARCH model with the volatility implied by option prices. If the options appear inexpensive relative to the forecast, the proposed position is to buy calls and puts; if the implied…

ОпціониВолатильністьМашинне навчання