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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
WonderTrader
14 documents
Alphalens
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

12,303 documents

Quant Q&A

The document sets up a Heston stochastic volatility model for log price and variance, then states an exponential-affine conditional moment-generating function in the terminal log price and variance. It also presents a known expression for an unconditional…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks whether the CBOE SKEW index can serve as the shape parameter of a skew-normal distribution alongside VIX. It explains the index conversion to a skewness measure and notes that the shown skew-normal parameter is constrained to a bounded…

OptionsVolatilityStatisticsUS markets
Quant Q&A

The document discusses pricing and risk analysis for derivatives on dividends paid by constituents of equity indices, with particular interest in dividend futures. One response distinguishes futures from options: dividend futures are linked directly to…

EquitiesFuturesOptionsDerivatives pricing
Quant Q&A

The document asks how to represent a portfolio’s vega when its original volatility surface has many strike pillars but the target surface retains only three. Vega is described as distributed across the original grid of maturities and strikes, leaving the…

OptionsVolatilityRisk management
Quant Q&A

The document considers the square of a geometric Brownian motion and asks how to derive its stochastic differential and quadratic variation. Applying Itô’s lemma to the function that squares the price adds a drift adjustment from the second derivative, while…

StatisticsVolatilityDerivatives pricing
Quant Q&A

The document explains how to specify a three-branch asset-price tree when a single-period move can be up, middle, or down. The three branch probabilities and three move sizes initially leave six parameters. Probability normalization and matching the expected…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document asks which parametric forms are commonly used to fit implied volatility smiles in VIX markets. It situates the question against SPX options, where the author says stochastic volatility-inspired and surface stochastic volatility-inspired forms…

VolatilityOptionsDerivatives pricing
Quant Q&A

The document discusses whether GARCH variance estimates remain useful when returns have heavy tails. It relays the concern that if a return distribution has a tail exponent near three, its fourth moment may be infinite, making the variance of squared…

StatisticsVolatilityRisk management
Quant Q&A

The document discusses using proxy time series when a risk factor lacks enough historical observations for market risk measurement. It contrasts older Basel II guidance with the newer Fundamental Review of the Trading Book (FRTB), where insufficient real…

Risk managementStatisticsVolatilityBacktesting
Quant Q&A

The document clarifies why option volatility models may express moneyness using the underlying’s forward price or spot price. It distinguishes this choice from forward volatility, which means volatility over a future time interval. Forward based moneyness…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document examines a claim that at-the-money-forward implied volatility in the Heston model is below the square root of expected variance. The response connects variance swap volatility to an expectation over squared values of a transformed, or modified,…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document addresses finite difference pricing when an exotic option has a discontinuous payoff, such as a binary or barrier, and nearby vanilla strikes are used for hedging. A coarse asset-price grid may fail to represent the payoff boundary accurately…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explains why squared returns divided by estimated conditional variance can be used to check a GARCH model. Under the model, returns are written as conditional volatility times an independent, zero-mean, unit-variance innovation. A GARCH(1,1)…

StatisticsVolatilityRisk management
Quant Q&A

The document surveys modeling concerns when interest rates can fall below zero, focusing on products whose pricing frameworks assume lognormal rates. Black-style option formulas and some volatility conventions become unsuitable when rates may be negative.…

Derivatives pricingOptionsFixed incomeVolatility
Quant Q&A

The document examines how to derive the variance of the short rate in the Cox–Ingersoll–Ross model, whose diffusion volatility depends on the square root of the rate. One proposed derivation transforms the rate, applies Itô’s lemma to its square, and then…

Fixed incomeStatisticsVolatility
Quant Q&A

The document asks whether stock price paths can be simulated with different models while holding the initial price and historical mean and standard deviation fixed. It names geometric Brownian motion (GBM), Merton jump diffusion, and Heston stochastic…

EquitiesVolatilityRisk managementBacktesting
Quant Q&A

The discussion estimates the one-day profit and loss of a short call when the underlying moves sharply. The answer first assumes the position is delta hedged, so the starting portfolio has no first-order exposure to the spot move. It then treats the stated…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The discussion asks how to describe the sampling distributions of estimated autoregressive and moving-average coefficients in an ARMA-GARCH model. The answer gives the standard asymptotic result: under suitable assumptions, parameter estimates are consistent…

StatisticsVolatility
Quant Q&A

The document explores delta and vega hedging, exotic-product risk, and pricing when a derivative references an investment fund. The question highlights practical constraints: fund shares may be difficult or impossible to short, listed options may be…

Derivatives pricingVolatilityRisk managementOptions
Quant Q&A

The document asks how to identify, from a stock universe, the three names likely to produce the highest premium for a worst-of put. Its payoff depends on the weakest normalized asset outcome at maturity, so the question concerns both individual price…

OptionsEquitiesDerivatives pricingVolatility
Quant Q&A

The document describes a one-expiry SPX implied-volatility calibration using the SSVI parameterization. The initial implementation produced implausible estimates when fitting market option prices, and the author also found that the fitting objective had…

OptionsVolatilityDerivatives pricingBacktesting
Quant Q&A

The document corrects a proposed method for estimating a lower-tail portfolio return threshold using a Student-t distribution. It explains that the standard deviation of observed returns should not be divided by the square root of the sample size when…

Risk managementStatisticsVolatility
Quant Q&A

The document asks why a single-look CMS cap and a CMS floor with the same expiry and at-the-money strike can show different vega exposures. The observation comes from pricing a ten-year-expiry CMS30 cap and comparing it with the corresponding floor. The…

Fixed incomeOptionsVolatility
Quant Q&A

The document raises a risk-management problem for a vanilla option that terminates if realized volatility over the option’s life exceeds a preset barrier. Such a condition could reduce the option’s price, but it also makes the payoff depend on the path of…

OptionsVolatilityRisk managementDerivatives pricing