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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
Quantpedia
86 documents
TqSdk
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
Quantopian lectures
45 documents
Binance API docs
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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

10,263 documents

Quant Q&A

The document examines why the Schöbel–Zhu stochastic volatility model can be treated as affine when deriving the stock price characteristic function. It describes augmenting the state with squared volatility and applies Itô’s lemma to obtain the dynamics of…

Derivatives pricingVolatilityStatistics
Quant Q&A

The document asks what model-free finance means and presents two possible interpretations. One strand studies which derivative prices are consistent with the absence of arbitrage, using current prices of traded options on the same underlying rather than…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document compares two definitions of arbitrage in a single-period market with a risk-free asset. One requires a zero-cost portfolio whose payoff is nonnegative in every state and positive in at least one. The other states the condition using discounted…

ArbitrageDerivatives pricingStatistics
Quant Q&A

The document describes how to recover an option’s implied volatility when its price must be estimated by Monte Carlo simulation. Independent random draws at each volatility can make estimated prices jump around, obscuring the price-versus-volatility…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document offers two book recommendations in response to a request for an accessible introduction to options derivatives. One answer points to a broad derivatives textbook covering options and futures. Another recommends a book on interest rate models,…

OptionsFixed incomeDerivatives pricing
Quant Q&A

The question considers how to invest a large sum that will arrive at the end of year two and remain invested for two years. It provides continuously compounded zero-coupon yields across maturities and asks which approach offers the safest real-term…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document explains how interest is handled when one party posts a US Treasury security as collateral for a derivatives contract. Unlike cash collateral, which may be returned with an explicit interest payment, securities collateral generally does not…

Fixed incomeDerivatives pricingMarket microstructure
Quant Q&A

The document explains how to estimate pre-settlement risk, or potential future exposure (PFE), for a five-year interest rate swap. Although its question asks whether payments from the counterparty should be constant, the answer clarifies that exposure is the…

Fixed incomeDerivatives pricingRisk managementStatistics
Quant Q&A

The document explains why a swap-based reference curve can be suitable for pricing USD interest-rate instruments, while emphasizing that the spread measure often matters more than the curve choice. It distinguishes the I-spread, which compares a bond’s yield…

Fixed incomeDerivatives pricingRisk managementStatistics
Quant Q&A

The document addresses how to interpret implied volatility for commodity options whose delivery or settlement reflects prices over a period, as in power markets. Its central point is that implied volatility is tied to the underlying specified in the option…

OptionsCommoditiesVolatilityDerivatives pricing
Quant Q&A

A box spread combines two option conversions at different strikes and the same expiration. The underlying positions offset, while the option premiums create an initial cash inflow or outflow against a fixed settlement value. The answer describes the…

OptionsDerivatives pricingArbitrageRisk management
Quant Q&A

The document considers why options on the same stock and expiration can show sharply different implied volatility readings, including around a stock split. It points to quote quality and calculation choices as likely explanations rather than evidence of a…

OptionsDerivatives pricingMarket microstructure
Quant Q&A

The document explains why interest-rate indices with different tenors can have different values and why derivatives referencing them may require separate curves. It attributes part of the spread between six-month and three-month LIBOR to the additional bank…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document compares ways to value constant-maturity swap (CMS) products, focusing on how an annuity mapping function and convexity adjustment account for the change of measure. One approach approximates the expected mapped swap rate with a second-order…

Fixed incomeDerivatives pricingVolatilityOptions
Quant Q&A

The document considers whether two observed option-implied distributions, at an early expiry and a later expiry, can reveal the return distribution over the interval between them. It expresses the total log return as the sum of an early-period return and a…

OptionsStatisticsDerivatives pricing
Quant Q&A

The document examines whether pairwise dependence measures such as correlation, Kendall’s tau, or tail dependence can replace covariance in a quadratic portfolio risk calculation. Covariance has a specific justification: for portfolio returns, the quadratic…

Portfolio constructionRisk managementStatisticsDerivatives pricing
Quant Q&A

The document distinguishes geometric Asian options, often introduced in textbooks because they admit an explicit Black–Scholes pricing formula, from the contracts used in practice. The answers disagree somewhat about whether geometric Asian options trade…

OptionsDerivatives pricingCommoditiesForex
Quant Q&A

The document derives the time-t value of a cash-or-nothing call that pays one unit when the stock finishes above the strike. Under the risk-neutral Black–Scholes model, the payoff indicator is not independent of current information because the terminal stock…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks how to calculate the beta of a call payoff relative to its underlying at expiry under the risk-neutral measure. This covariance ratio is the hedge coefficient that minimizes the variance of the terminal option payoff minus a fixed holding…

OptionsDerivatives pricingRisk managementStatistics
Quant Q&A

The discussion examines whether a short callable bond can be hedged with a receiver Bermudan swaption when their exercise dates align. It explains that the bond issuer’s call feature can often be hedged by selling a receiver swaption, but the instruments are…

Fixed incomeOptionsDerivatives pricingRisk management
Quant Q&A

The discussion addresses how to construct a delta-hedged portfolio using S&P 500 index and futures data when a data source provides a continuous E-mini series without an explicit maturity. It suggests inferring a listed contract’s expiration from its ticker…

FuturesOptionsDerivatives pricingPortfolio construction
Quant Q&A

The document explains when a European call price from a Heston model can be represented by a Black–Scholes implied volatility. It states that the Heston asset-price and variance processes do not generally have explicit pathwise solutions, though Fourier…

OptionsVolatilityDerivatives pricingBacktesting
Quant Q&A

The document asks why investment banks need quantitative models when exchange-traded options already have market prices. It distinguishes liquid calls and puts, whose prices are set through trading, from the role of Black–Scholes in organizing those prices…

OptionsDerivatives pricingVolatilityMarket making