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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

12,303 documents

Quant Q&A

The note explains why a barrier option’s vega hedge may be relatively stable under simplifying assumptions. With a symmetric volatility smile and no jumps, a simple knock-out or knock-in option can have a static hedge, potentially needing only one…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document asks where to find vanilla call pricing formulas for affine stochastic volatility jump-diffusion models, including SVJ and SVJJ, and gives Heston’s characteristic-function approach as a comparison. It points readers to three academic sources…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document explains why options on E-mini S&P 500 futures may show different implied volatility from options on the SPY ETF, despite both being linked to the S&P 500. The underlyings and contracts are not identical: they have different trading hours,…

OptionsFuturesVolatilityDerivatives pricing
Quant Q&A

The document examines why traders use Black–Scholes implied volatility even though the model’s assumptions do not describe markets perfectly. The responses distinguish implied volatility from a pure forecast of realized volatility: it is a market-derived…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document presents Dupire's local volatility formula in two forms: one using derivatives of vanilla call prices and another using the total implied variance surface. In the latter, log-forward moneyness is expressed as the logarithm of strike relative to…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document describes a forecasting workflow for Brent crude oil: transform prices into log returns, check stationarity, fit an ARMA-GARCH model, and obtain forecasts of conditional means and variances. The author reports that the forecasted conditional…

CommoditiesStatisticsVolatilityBacktesting
Quant Q&A

The document considers whether interest rate term-structure models can help produce hump-shaped implied volatility across option maturities. It observes a mathematical analogy: an interest rate curve can be expressed using expected future rates, while a…

OptionsVolatilityDerivatives pricingFixed income
Quant Q&A

The document explains why practitioners fit parameterized volatility surfaces, such as SVI, to sparse option-market observations. A market supplies implied volatilities at a finite set of strikes and expiries, rather than a continuous surface. Many…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document explains how to turn Black–Scholes implied volatility into a range for a future stock price while accounting for the lognormal distribution implied by geometric Brownian motion. It distinguishes the physical measure, which uses the stock’s…

EquitiesOptionsVolatilityStatistics
Quant Q&A

The document asks whether an SVI volatility surface should be calibrated to option prices or to implied volatility or total variance. The answer emphasizes that option prices are the market observations from which implied volatilities are derived, and that…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document briefly discusses historical volatility estimation using close-to-close returns and price ranges. It identifies standard deviation of historical returns as a basic close-price approach and mentions range-based estimators that use high and low…

VolatilityStatistics
Quant Q&A

The document examines whether options open interest near a strike can accelerate moves in the underlying as dealers adjust their delta hedges. Dynamic hedging of written options can require buying after a price rise and selling after a decline, potentially…

OptionsEquitiesVolatilityMarket microstructure
Quant Q&A

The document considers replacing a stock pair trade based on cointegration with long at-the-money options: calls on the underperforming stock and puts on the outperforming stock, sized using the cointegration hedge ratio. The response highlights three key…

EquitiesOptionsPairs tradingVolatility
Quant Q&A

This document asks how to choose a practical model for smoothing and interpolating implied volatility skews and surfaces. The intended application is short-dated European index options, with a goal of obtaining more usable implied volatilities through…

OptionsVolatilityDerivatives pricingArbitrage
Quant Q&A

The document explains how a GARCH model represents returns and their time-varying conditional variance, addressing confusion about whether to fit the model to returns or squared returns. In the stated setup, returns equal a conditional mean plus a…

VolatilityStatisticsMachine learningBacktesting
Quant Q&A

The document derives expected profit and loss at an intermediate time for a continuously delta-hedged option in a Black–Scholes setting. It separates the option’s mark-to-market value from the cumulative expected gain or loss generated by delta hedging. The…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document presents a question about replicating an FX volatility-smile construction method, focusing on how to interpret a delta-related quantity defined using call and put deltas at the strike associated with a specified put delta. The questioner is…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document explains how to estimate portfolio volatility while accounting for leverage across assets. Its example combines each asset’s return with its portfolio weighting and account value to calculate the portfolio’s change in dollars, then expresses…

Multi-assetVolatilityRisk managementPortfolio construction
Quant Q&A

The document considers whether there is a systematic way to choose among GARCH-family volatility models. The responses offer a practical modeling principle: match the model’s features to observed behavior in the market rather than selecting variants by trial…

VolatilityStatisticsEquities
Quant Q&A

The document asks when VIX futures and options expire relative to settlement and describes the settlement calculation. The cited answer says both contracts use a final settlement value based on a Special Opening Quotation of the VIX Index. That quotation is…

OptionsFuturesVolatilityMarket microstructure
Quant Q&A

The document explains why an FRA whose floating rate is paid after its accrual end date needs a convexity adjustment. When payment occurs at the rate’s end date, the forward rate is a martingale under the matching forward measure, so its curve-implied value…

Fixed incomeDerivatives pricingVolatility
Quant Q&A

The discussion derives call delta by differentiating the Black–Scholes price, giving delta as the standard normal cumulative distribution evaluated at d1. For a spot at-the-money call, this expression generally does not equal one half before expiry; it…

OptionsDerivatives pricingVolatility
Quant Q&A

The note offers two intuitive explanations for the common inverse co-movement between equity index levels and implied volatility. One focuses on the character of market moves: index declines may be faster than comparable rises, leading participants to expect…

OptionsEquitiesVolatilityMarket microstructure