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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 discussion asks whether a long-dated at-the-money straddle should use the strike nearest spot or the strike nearest the forward. The answer is that “at the money” depends on the market and product convention. Foreign exchange volatility quotes may define…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document explains why the mean return may be treated as negligible relative to dispersion over a very short time interval. Its answer states that expected return accumulates in proportion to elapsed time, while standard deviation grows with the square…

StatisticsVolatility
Quant Q&A

The document addresses a timing question about an exponentially weighted volatility model: if the residual at time t uses the actual value at t, why forecast volatility for that same time? The response points out that the equation as written may have its…

VolatilityStatisticsRisk management
Quant Q&A

The document works through Itô’s formula for a function of two time-varying state variables, each with drift and diffusion terms driven by correlated Brownian motions. It explains that the second-order expansion includes a mixed derivative, and that the…

StatisticsDerivatives pricingVolatility
Quant Q&A

The document gives an intuitive account of the typical trade-off between option gamma and theta. A long option position has positive gamma: after delta hedging, it can benefit from sufficiently large moves in either direction. That convex payoff has a cost,…

OptionsDerivatives pricingVolatility
Quant Q&A

The discussion explains that volatility annualization depends on the time span represented by each observation. For a sequence of overlapping five-day holding-period P&L returns, the stated convention is to treat each observation as five-day volatility and…

VolatilityStatistics
Quant Q&A

The discussion recommends books and supporting materials for learning quantitative finance workflows in R, especially portfolio selection and volatility forecasting. Suggested resources include a practical guide to financial risk modeling and portfolio…

Portfolio constructionVolatilityStatistics
Quant Q&A

The document asks how to classify the direction of option trades using tick-level trade and quote data. The proposed workflow is to align trade records with contemporaneous call and put quote panels by option symbol and timestamp, then compare each trade…

OptionsMarket microstructureHigh-frequency tradingVolatility
Quant Q&A

The document explains why a vanilla option’s implied volatility is not, by itself, a reliable way to price a knock-out barrier option with a rebate. Market implied volatility is defined through the Black–Scholes formula for a vanilla contract. A volatility…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document surveys developments beyond the classic Black–Scholes and binomial option-pricing models. It describes extensions that add stochastic volatility, stochastic interest rates, credit risk, dividends, local volatility, jumps, or GARCH dynamics. It…

OptionsDerivatives pricingVolatilityMachine learning
Quant Q&A

The document asks how to calibrate a SABR volatility surface for S&P 500 index calls when the beta parameter is fixed in advance. The choice is between fitting alpha, rho, and nu separately for each expiration or fitting one parameter set across the full…

OptionsVolatilityDerivatives pricingUS markets
Quant Q&A

The document compares three ways to represent a skewed Student-t distribution in financial modeling: the Azzalini, Hansen, and Fernandez–Steel variants. It raises the practical question of whether one is better suited to financial data and notes that…

StatisticsVolatility
Quant Q&A

The response gives practical guidance for building an implied volatility curve when calls and puts with the same delta show different volatility estimates. It recommends averaging call and put implied volatilities for at-the-money options, while using…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document shows how to model a private equity clawback when the value relevant to limited partners consists of a risky net asset value component and a fixed amount of past distributions. It represents the net asset value as a geometric Brownian motion and…

OptionsDerivatives pricingVolatility
Quant Q&A

The document raises questions about local volatility models used for equity derivatives. It asks why forward smiles under local volatility are said to become flatter and higher, whether the model’s calibration to an initial volatility surface makes its…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document explains how to estimate volatility from five-minute EUR/USD price observations and distinguish the estimation window from the horizon used to annualize the estimate. Consecutive price ratios minus one give simple five-minute returns; a rolling…

ForexVolatilityStatistics
Quant Q&A

The document asks how to estimate the variance of returns on a risky fixed income investment when the default-free yield and the yield shortfall attributed to defaults are known. Its central recommendation is to obtain historical loss yields or specify a…

Fixed incomeVolatilityStatisticsRisk management
Quant Q&A

The note addresses an apparent funding gap when rebalancing a short call hedge as time passes and the underlying price stays unchanged. Its answer uses the Black–Scholes pricing equation with zero interest and dividends, where theta offsets the gamma…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document asks whether the expected return at an intraday sampling interval equals the final cumulative return, and whether returns measured from a fixed starting price should be added or multiplied. One response reframes the issue as whether price…

StatisticsVolatilityMarket microstructure
Quant Q&A

The document asks how VIX futures can keep trading when a circuit breaker halts SPX options and prevents the VIX index from being calculated, especially if the halt overlaps the March contract’s valuation date. It raises the possibility of estimating…

FuturesOptionsVolatilityDerivatives pricing
Quant Q&A

The document frames a modeling question about replacing deterministic correlations with stochastic correlation matrices in a multi-factor fixed-income model such as a LIBOR market model. It argues that fixed correlation may be adequate for short-maturity…

Fixed incomeVolatilityStatisticsDerivatives pricing
Quant Q&A

The document explains how the covariance of two white-noise terms collapses a double sum. Since distinct white-noise observations have zero covariance and matching observations have variance equal to the noise variance, only terms satisfying the…

StatisticsVolatility
Quant Q&A

The document asks whether variance swaps on interest-rate swap rates are actively traded and liquid, comparing them with the more familiar equity variance swap market. The response offers a brief market-liquidity observation rather than a pricing method or…

Fixed incomeVolatilityDerivatives pricing