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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
TqSdk
86 documents
Quantpedia
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
Binance API docs
45 documents
Quantopian lectures
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 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…

Fixed incomeStatisticsPortfolio construction
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.…

Market microstructureMarket makingExecution
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…

FuturesOptionsMarket microstructure
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…

OptionsVolatilityDerivatives pricing
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.…

Derivatives pricingStatisticsMulti-asset
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…

Market microstructureExecution
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…

Risk managementStatisticsOptionsEquities
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…

StatisticsUS marketsEquities
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…

Fixed incomeDerivatives pricing
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…

Fixed incomeStatistics
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,…

StatisticsRisk managementBacktesting
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…

Portfolio constructionStatistics
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…

EquitiesFactor investingMulti-asset
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…

OptionsVolatilityDerivatives pricing
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…

VolatilityStatistics
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…

StatisticsVolatilityBacktesting
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…

Fixed incomeDerivatives pricingMarket microstructure
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…

OptionsVolatilityDerivatives pricingRisk management
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,…

StatisticsDerivatives pricing
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…

EquitiesUS markets
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…

Portfolio constructionRisk managementBacktesting
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…

ForexDerivatives pricingExecution
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…

StatisticsRisk managementPortfolio construction
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…

OptionsVolatilityMachine learning