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

Пошук у бібліотеці

Документів: 20,364

Quant Q&A

The document considers how to estimate a high percentile of absolute daily returns when the available sample is short and the desired tail quantile lies beyond what the observations can reliably show. Because the estimate requires extrapolation, it…

Управління ризикамиСтатистикаВолатильність
Quant Q&A

The question compares a probability shown by the CME FedWatch Tool with a calculation based on a fed funds futures price, the effective rate for part of the month, and the number of days affected by a rate decision. The author finds that the calculation…

Інструменти з фіксованим доходомФ'ючерсиРинки СШАСтатистика
Quant Q&A

The document asks how to derive the conditional expectation of the future integral of squared standard Brownian motion using Itô’s formula and a partial differential equation. The key correction is that this conditional expectation is not itself a…

СтатистикаОцінювання вартості деривативів
Quant Q&A

The document asks how a long straddle could produce positive profit when the underlying finishes at the strike and the option expires worthless, despite high volatility during the holding period. One explanation is dynamic delta hedging: as the underlying…

ОпціониВолатильністьОцінювання вартості деривативів
Quant Q&A

The document considers how to construct dollar bars when only minute OHLCV data is available. One proposal estimates each minute’s traded value by multiplying volume by an average price, then combines minutes until their estimated dollar value reaches a…

СтатистикаБектестуванняМікроструктура ринку
Quant Q&A

The document poses a question about the relationship between instantaneous forward rates and the short rate in a zero-coupon bond framework. It writes the bond price in two forms: as the exponential of the negative integral of forward rates, and as the…

Інструменти з фіксованим доходомСтатистика
Quant Q&A

The document discusses errors encountered when using an R interface to Ox for fitting GARCH models, including FIGARCH and possibly FIEGARCH specifications. The reported failures include undeclared file input and output functions in an Ox source file and a…

ВолатильністьСтатистикаАкції
Quant Q&A

The document considers how to evaluate a multi-agent stock market simulation against historical prices for large companies across several sectors. The question proposes matching the volatility of simulated prices to observed volatility while also checking…

АкціїВолатильністьТехнічні індикаториСтатистика
Quant Q&A

The document recommends *Active Portfolio Management* by Richard Grinold and Ronald Kahn as a possible preparation for graduate study in asset pricing and portfolio choice. The original question asks for a book that is accessible to a beginner yet rigorous…

Формування портфеля
Quant Q&A

The document examines whether a discounted option value in the Black–Scholes model is a martingale. Applying Itô’s formula and the Black–Scholes partial differential equation leaves a stochastic integral whose integrand contains the stock price and the…

Оцінювання вартості деривативівОпціониСтатистика
Quant Q&A

The document asks how to calculate an ex-ante Sharpe ratio from simulated return paths: from compounded total returns across paths, or by calculating a Sharpe ratio along each path and averaging those ratios. The response emphasizes that the conventional…

СтатистикаБектестування
Quant Q&A

The document discusses whether option delta can approximate the probability of profit for multi-leg positions. Its example uses a call debit spread: the response treats the short strike’s delta as a rough chance of reaching the spread’s maximum gain and the…

ОпціониОцінювання вартості деривативівУправління ризикамиСтатистика
Quant Q&A

The document considers how to hedge a leveraged liability whose value depends on a basket of two assets and U.S. dollars. It questions whether a hedge based on the assets’ historical correlation is reliable, especially if that relationship changes. The…

Управління ризикамиФормування портфеляСтатистика
Quant Q&A

The document asks whether range-based estimators such as Garman–Klass can be combined with EWMA or ARCH-family models, and whether a dynamic volatility model is still needed when using such estimators. The response points to research that incorporates…

ВолатильністьСтатистикаБектестування
Quant Q&A

The document considers how to choose both a signal threshold and the future return horizon when evaluating a trading hypothesis. It warns that searching many combinations can amount to data mining and produce overfit results, while acknowledging that there…

БектестуванняСтатистикаМашинне навчання
Quant Q&A

The document derives the dynamics of EUR/USD from a model for USD/EUR. It assumes the USD/EUR exchange rate follows geometric Brownian motion with drift r and volatility σ, then represents the reciprocal exchange rate as 1/S. Applying Itô’s formula to that…

Валютний ринокСтатистика
Quant Q&A

The document works through the moving-average representation of fractional Brownian motion and asks how to simplify the variance of an increment between two ordered times. It splits the stochastic integral into regions before the first time and between the…

Статистика
Quant Q&A

The document raises a research concern: option pricing models may be proposed without being tested against market data or compared with established alternatives. It notes that affordable options data can be difficult to obtain, while arguing that empirical…

ОпціониОцінювання вартості деривативівБектестування
Quant Q&A

The document asks whether stock returns can be rescaled to look more normally distributed and describes an attempt to reproduce a published method on S&P 500 returns. The approach clips each return at a multiple of an evolving volatility estimate, updates…

АкціїСтатистикаВолатильністьТехнічні індикатори
Quant Q&A

This document describes a simulation problem: generating several correlated variables from a Sobol quasi-random sequence in MATLAB. The author contrasts a Cholesky-based transformation of standard normal draws with an attempted method that transforms Sobol…

СтатистикаМашинне навчанняБектестування
Quant Q&A

This discussion addresses the difficulty of finding dependable Chinese economic indicators for strategy research. The question lists areas of interest including credit, materials, durable goods, GDP composition, government spending, housing, and personal…

Ринки КитаюСтатистикаСировинні товари
Quant Q&A

This document presents a method for estimating the parameters of an Ornstein–Uhlenbeck process from an equally spaced historical time series. It defines the process through a mean-reverting rate, a long-run level, and a volatility term, then gives formulas…

СтатистикаПовернення до середньогоВалютний ринокІнструменти з фіксованим доходом
Quant Q&A

The document surveys software options for developing and evaluating trading strategies in C++. It names QuantLib, Boost, Armadillo, Intel MKL, Eigen, and TA-Lib for quantitative, numerical, and technical-analysis work. It also mentions TradeStation for…

БектестуванняУправління ризикамиТехнічні індикатори
Quant Q&A

The discussion concerns setting settlement days explicitly when constructing QuantLib swap rate helpers for a USD LIBOR curve. It notes that the default can come from the index’s fixing days, and the original question asks how to use zero settlement days…

Інструменти з фіксованим доходомОцінювання вартості деривативів