Skip to content

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

12,303 documents

Quant Q&A

The document raises a data-quality question about occasional one-day jumps in a 12-month at-the-money call implied-volatility series for a bank equity. The observed values reportedly rise sharply for a single day and then quickly return toward their prior…

OptionsVolatilityBacktesting
Quant Q&A

The note clarifies the distinction between unit gamma and dollar gamma for a variance swap. Unit gamma is expressed with an inverse-square dependence on the underlying price, while dollar gamma multiplies gamma by the square of the underlying price. This…

VolatilityDerivatives pricing
Quant Q&A

The document clarifies that the VIX is not a measure of protective-option trading volume. It is an options-based estimate of the market-implied variance over a forward horizon, expressed as volatility, and is related to the fair strike of a variance swap.…

OptionsVolatilityDerivatives pricingUS markets
Quant Q&A

The document explains how to estimate total and idiosyncratic volatility for an individual stock over a fiscal year. Total volatility is the sample standard deviation of daily returns, annualized by multiplying by the square root of the number of trading…

EquitiesVolatilityFactor investingStatistics
Quant Q&A

The document examines why interpolating five FX volatility quotes by delta and then plotting the same quotes against their transformed strikes can produce a different-looking smile. The accepted response attributes the change to interpolation sensitivity:…

OptionsVolatilityStatistics
Quant Q&A

The question asks whether “vol” in an equity, credit, and volatility liquidity-risk label means trading volume or volatility. The clues are database query and table names, along with columns including Vega, maturity, ticker, liquidity type, and PctVol. The…

EquitiesVolatilityRisk management
Quant Q&A

The document examines how deterministic interest rates and dividend yields affect the asymptotic behavior of implied-volatility skew as option maturity grows. It starts from the forward price of a dividend-paying asset and notes that the Black–Scholes…

OptionsVolatilityDerivatives pricing
Quant Q&A

The discussion separates how traders use options from how options are priced. Options can provide leverage, insurance, or hedging, but those uses do not by themselves alter an option’s fair value under a risk-neutral pricing framework. The framework is a…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks how to compare volatility forecasts from ARMA(1,1)-GARCH(1,1) models fitted to S&P 500 returns under normal, Student-t, and GED innovations. The author describes generating rolling forecasts with an out-of-sample period and asks whether…

VolatilityBacktestingStatistics
Quant Q&A

This discussion explains how to calculate a portfolio’s expected return and volatility, then outlines how to find the global minimum variance allocation between two stocks. Expected portfolio return is the weighted sum of constituent expected returns.…

Portfolio constructionVolatilityStatistics
Quant Q&A

The document explains why a local volatility surface reconstructed from option prices need not match the implied volatility surface at the same strike and maturity. Implied volatility is the Black–Scholes volatility that reproduces an individual option’s…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks how to assess a simulated return distribution and compare it with forecasts from another method. Its example uses historical returns to generate simulated paths over a short forecast horizon, then pairs forecasts with subsequent realized…

StatisticsBacktestingVolatility
Quant Q&A

The document asks how to obtain LIBOR rates whose reset or maturity dates fall between the model’s predefined dates. It presents two approaches: use an arbitrage-free interpolation scheme designed for the displaced-diffusion LIBOR Market Model, or bootstrap…

Fixed incomeDerivatives pricingArbitrageVolatility
Quant Q&A

The document asks how to differentiate a basket option price with respect to one constituent asset’s volatility. It lays out dependencies among the option price, basket forward, strike, aggregate volatility, and constituent forward, then applies the…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document surveys research on calendar patterns in financial returns and volatility, with emphasis on whether Mondays differ from other weekdays. It points readers to broad reviews of seasonal anomalies and research on seasonality in equity factors. The…

EquitiesVolatilityStatisticsUS markets
Quant Q&A

The discussion describes how practitioners may trade options on currencies held near fixed exchange rates, with examples involving Gulf currencies, the Argentine peso, and the Eastern Caribbean dollar. It distinguishes the near-zero at-the-money volatility…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document discusses validating a user-built Libor Market Model implementation when calibration to market volatility inputs does not reproduce cap prices. It recommends separating implementation errors from market-data or calibration problems by first…

Fixed incomeDerivatives pricingVolatilityStatistics
Quant Q&A

The document asks how to estimate the expected one-day move of a spread between two futures contracts using their prices, implied volatilities, and correlation. One answer first estimates each contract’s daily move by scaling price times implied volatility…

FuturesVolatilityStatistics
Quant Q&A

The document explains why bucket Vega multiplied by changes in fixed volatility-surface points can miss P&L when spot moves options to different moneyness levels. Under a sticky-delta interpretation, an option may experience a volatility change from moving…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document asks whether a listed option with a matching moneyness and remaining time to expiry can serve as a rough estimate for an option price at a future date. Its example considers a call with a year to expiry and asks whether, after nine months, its…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks whether implied volatilities from a few options can be combined into a single 30-day volatility estimate. It explains that each option has its own implied volatility, so the values are not interchangeable components of one underlying…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document examines whether to price a call option on a mutual fund using a risk-neutral return assumption or an estimated real-world return. It notes that historical volatility may be used when implied volatility is unavailable, but expected return…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document proposes comparing volatility clustering in return series by fitting hidden Markov models with multiple volatility states. An information criterion such as AIC or BIC can help select the number of states, after which standard HMM estimation…

VolatilityStatisticsMachine learningEquities
Quant Q&A

The discussion explains why the absence of calendar spread arbitrage is commonly expressed as non-decreasing total implied variance, defined as implied volatility squared times maturity, at fixed forward moneyness. It starts from the condition that…

OptionsDerivatives pricingArbitrageVolatility