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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 compares Bloomberg’s BGN and CMPN sources for EUR/USD FX option volatility quotes, especially butterfly quotes used in strategies that trade convexity. The answer describes BGN as a generic daily close and CMPN as a composite of contributor…

ForexOptionsVolatilityBacktesting
Quant Q&A

The document asks how to adapt a Heston European call formula for an FX pair, where pricing involves both a domestic rate and a foreign rate. It supplies a stock-option integral formula, a characteristic function, and proposed asset and variance dynamics,…

ForexOptionsDerivatives pricingVolatility
Quant Q&A

The discussion addresses how to estimate an option’s vega, volga, and vanna by repricing after perturbing the volatility input. When a product depends on an entire Black variance surface, replacing it with a single constant volatility can be unsuitable for…

OptionsDerivatives pricingVolatility
Quant Q&A

The note outlines a model-based route to backtesting variance and volatility swaps when direct swap data is unavailable. It uses a one-factor Bergomi setup in which instantaneous variance follows a lognormal process correlated with the asset return. In this…

OptionsVolatilityDerivatives pricingBacktesting
Quant Q&A

The document surveys research on whether cryptocurrencies differ quantitatively from currencies and other assets. It describes proposed distinctions such as decentralized transaction records, market-specific drivers, high volatility, and limited history. The…

CryptoMulti-assetMomentumVolatility
Quant Q&A

The document describes an option-pricing problem in which volatility changes when the underlying crosses a specified barrier. It suggests this setup may represent a post-crash environment where near-term option volatility is elevated and expected to move…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document examines a chart of equity index implied skew and spot–volatility beta across option maturities. It describes implied skew as related to how implied volatility changes as the forward or spot level moves, while emphasizing that the relationship…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explores how financial variables can be dependent without having linear correlation. It begins with the mathematical example of a normally distributed variable and its square, then considers financial analogies where the relationship can be…

StatisticsVolatilityOptions
Quant Q&A

The document examines a formula attributed to a paper on learning-based derivative pricing. The question is how to interpret a 60-day range of daily returns when estimating volatility for Black–Scholes: if the sample standard deviation is already daily…

VolatilityStatisticsDerivatives pricing
Quant Q&A

The document asks how to value commodity futures options when an investor has a specific view about the future return distribution: a substantial oil price spike is considered possible over a stated horizon, with the move expected to be brief. The goal is to…

CommoditiesOptionsFuturesVolatility
Quant Q&A

The document describes an attempt to forecast a differenced FTSE 100 series with an ARMA mean model and GARCH disturbances using the rugarch package. The author encounters missing volatility forecasts when requesting rolling forecasts and a plotting error…

EquitiesVolatilityMachine learningBacktesting
Quant Q&A

The note asks how to determine the time-dependent drift parameter in the one-factor Hull–White short-rate model when pricing zero-coupon bonds. It states the short-rate process as a mean-reverting rate with a time-varying drift and constant volatility, then…

Fixed incomeDerivatives pricingVolatility
Quant Q&A

The document asks whether a weighted mixture of two local-volatility models can provide an implied density for path-dependent options, including barrier and touch products. It presents the mixture as a weighted average of the component models’ vanilla option…

OptionsDerivatives pricingVolatility
Quant Q&A

The note explains how the option portfolio’s gamma contribution to price change follows from the second-order term in Itô’s lemma. It distinguishes the instantaneous variance term in the pricing equation from realized movement in the underlying price. Using…

OptionsDerivatives pricingVolatility
Quant Q&A

The document clarifies an ambiguous claim that spot price and variance have correlation near negative one. One response explains that the leverage effect concerns negative association between stock returns and volatility, rather than between the price level…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document describes an attempt to build implied volatility smiles for European options from American option chain data. The author calculates implied volatilities with Black–Scholes, selects out-of-the-money options to reduce early-exercise concerns, and…

OptionsVolatilityStatisticsDerivatives pricing
Quant Q&A

The document raises two questions about a volatility swap under a flat one-year volatility assumption with no skew: whether the fair volatility equals the quoted volatility when the number of fixings matches the stated annualization factor, and why the fair…

VolatilityDerivatives pricingStatistics
Quant Q&A

The discussion explains why a regression intercept used in rough volatility analysis can be interpreted as volatility of volatility. Researchers measure increments in log volatility across sampling intervals, calculate their absolute moments, and regress the…

VolatilityStatisticsDerivatives pricing
Quant Q&A

The document points readers to a practical paper on calibrating the SABR model and to foundational references for interpreting its parameters. It explains that beta is commonly fixed in advance to represent a chosen dynamic, rather than estimated alongside…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document asks how to value a European payoff when a stock follows risk-neutral geometric Brownian motion whose volatility depends on its history. It contrasts this setting with the standard Markovian case, where volatility depends only on the current…

Derivatives pricingVolatilityStatistics
Quant Q&A

The document examines a long call hedged by shorting stock in an amount equal to the option’s initial delta. It considers a sudden underlying-price decline alongside an increase in implied volatility, and asks whether the hedge must make money. A Taylor…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document explains why buying volatility exposure after a quiet period is not a cost-free way to profit from a future volatility spike. VIX is a spot index rather than a security that investors can hold directly, so traded exposure is typically obtained…

VolatilityFuturesCarryDerivatives pricing
Quant Q&A

The document explains why conditional heteroskedasticity does not conflict with a constant unconditional variance. A stationary return series may have finite, constant overall variance while its variance given past information changes over time. This…

VolatilityStatisticsRisk management
Quant Q&A

The document describes a calibration problem in the Guéant–Lehalle–Fernandez-Tapia market-making model. The author estimates bid- and ask-side order-arrival intensities using the last traded price as a reference, updating it at short intervals, and separates…

Market makingMarket microstructureVolatilityStatistics