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Knowledge library

Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.

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

Search the library

20,364 documents

Quant Q&A

The document asks how to create synthetic one-minute bars from daily open, high, low, and close values for testing an algorithm’s speed and memory use. The synthetic path need not resemble actual market behavior, but its minute bars should preserve each…

EquitiesStatisticsBacktesting
Quant Q&A

The document examines whether a portfolio that is neutral to vega is also neutral to gamma and theta. One response gives a specific result for portfolios of calls and puts sharing the same maturity: under the Black–Scholes framework, gamma neutrality and…

OptionsDerivatives pricingRisk managementVolatility
Quant Q&A

The document considers whether the leading principal component of historical interest-rate changes can serve as the volatility curve for calibrating a Hull–White or Black–Derman–Toy tree. It contrasts estimating a separate standard deviation at each tenor…

Fixed incomeStatisticsVolatilityDerivatives pricing
Quant Q&A

The document asks where forward prices can enter a Monte Carlo derivatives-pricing workflow. It describes a system that accepts calibration instruments, a model choice, initial underlying levels, a yield curve, and a forward curve. The follow-up clarifies…

Derivatives pricingExecutionFixed income
Quant Q&A

The document introduces an ATM implied-volatility correction in a free-boundary extension of SABR, motivated by pricing under negative rates. It describes a small-time heat-kernel approximation and gives a first-order correction for the at-the-money case…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document asks how to find the risk-neutral conditional expectation of a process built from geometric Brownian motion and an accumulated constant term. The process is expressed as a GBM multiplied by an integral involving its reciprocal, and it also…

StatisticsDerivatives pricingRisk management
Quant Q&A

The discussion considers whether historical asset prices should be adjusted for inflation and which inflation series to use. It identifies the U.S. Consumer Price Index for All Urban Consumers as the commonly cited headline measure, distinguishing it from…

StatisticsUS marketsBacktesting
Quant Q&A

The discussion explores estimating one-day downside risk for a portfolio that combines linear assets with short option exposure. It contrasts fitting a generalized Pareto distribution to the tail of repriced historical portfolio returns with simulating…

OptionsRisk managementVolatilityStatistics
Quant Q&A

The discussion asks how to infer a stochastic process from a long observed series and questions whether a histogram can identify its dynamics. The response recommends beginning with discrete-time time-series analysis rather than trying to recover an…

StatisticsMachine learning
Quant Q&A

The discussion addresses how to obtain historical Eurozone fixed-income index data for a multi-factor study of European bond funds when Bloomberg is unavailable and replacement ETFs lack sufficiently long histories. The response names Yieldbook index…

Fixed incomeMulti-assetFactor investingPortfolio construction
Quant Q&A

The discussion considers how to price same-day-expiry options on futures across equity indexes, energy commodities, and Treasury markets. The response says many futures options are European and can be priced with Black–Scholes, while some contracts are…

FuturesOptionsCommoditiesDerivatives pricing
Quant Q&A

The document considers how high-frequency market making works when short selling is restricted. It explains two ways a participant may still provide ask-side quotes: an official market maker may receive a short-selling waiver, or another participant may…

High-frequency tradingMarket makingMarket microstructureExecution
Quant Q&A

The document asks why long-horizon realized excess returns on agency mortgage-backed securities may fall below their average option-adjusted spread over duration-adjusted Treasuries. The response attributes the gap to borrower prepayment behavior changing…

Fixed incomeOptionsRisk management
Quant Q&A

The document raises a mathematical question about deriving an asymptotic option-price expression used in the Hagan SABR implied volatility formula. It focuses on a partial differential equation for option value, with terms involving the forward price,…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document discusses choosing a real-world stochastic model for property price index risk in Monte Carlo analysis. It recommends considering a factor model that links local and national property indexes with economic predictors such as GDP, while noting…

StatisticsRisk managementMulti-asset
Quant Q&A

The document asks how to estimate the dollar impact of a change in cross-currency basis for a portfolio of swaps hedging loans or bonds. The answer offers a rough approximation: use the book’s weighted average tenor, with each trade weighted by the notional…

Fixed incomeForexRisk managementDerivatives pricing
Quant Q&A

The document explains the sharp decline in high-yield corporate bond ETFs during the Great Recession despite falling interest rates. The key distinction is between Treasury yields and the yields investors demand on risky corporate debt. A high-yield bond’s…

Fixed incomeUS marketsRisk management
Quant Q&A

The document compares two ways to extract risk-neutral information from option prices. Breeden-Litzenberger (BL) uses the curvature of call prices across strikes to estimate an entire risk-neutral density. Bakshi-Kapadia-Madan (BKM) methods estimate…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document discusses how to simulate trade prices that behave like a random walk. One answer recommends modeling the bid-ask spread and using Poisson or Hawkes point processes for order arrivals and cancellations. A price move can occur when the queue at…

Market microstructureHigh-frequency tradingStatisticsBacktesting
Quant Q&A

The document addresses whether factor betas that are imprecisely estimated in time-series regressions can still produce a statistically precise risk premium in a cross-sectional regression. The answer is yes in principle, but beta measurement error works…

Factor investingStatisticsPortfolio constructionRisk management
Quant Q&A

The document raises questions about Merton’s derivation of the security market line from the tangency portfolio. Its focus is the covariance between an individual asset and the market portfolio: the reader asks why that covariance can be written as a…

StatisticsPortfolio constructionFactor investing
Quant Q&A

The document explains how to interpret a credit default swap (CDS) spread when the contract pays a standardized coupon. The quoted par spread represents the annual premium that would make a new contract’s value zero; it is not itself the upfront price. The…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document describes a global equity portfolio hedged with short benchmark futures using beta estimated from a trailing year of volatility data. The investor observes that beta rose during a market crash, leaving the hedge short of the portfolio's losses,…

EquitiesFuturesRisk managementStatistics
Quant Q&A

The document sketches a multifactor geometric Brownian motion framework for pricing options whose payoffs depend on multiple assets. Each asset has its own volatility, while shared Brownian factors create dependence; factor loadings determine the modeled…

OptionsMulti-assetDerivatives pricingStatistics