Skip to content

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

8,116 documents

Quant Q&A

The document questions whether a bank’s coded option pricing function can sensibly be used to calculate the profit and loss of a short option position. It presents a one-period P&L expression that combines the change in the option’s model price, interest on…

OptionsDerivatives pricingRisk management
Quant Q&A

The document explains that an incomplete market generally has multiple equivalent martingale measures rather than a unique risk-neutral measure. For a nonreplicable claim, expected discounted payoffs under these measures yield a range of arbitrage-free…

Derivatives pricingOptionsRisk managementStatistics
Quant Q&A

The document explains how counterparties manage exposure on OTC variance swaps when initial or maintenance margin is not posted. It says that many OTC swaps are governed by a credit support annex, but arrangements vary; without margin, counterparties rely…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document addresses why nearby option strikes can show sharply different open interest. Its proposed explanation is a preference for round-number strikes: traders may concentrate positions at salient levels such as 7,400, leaving a nearby strike like…

OptionsMarket microstructureSentiment
Quant Q&A

The note explains why the effect of implied volatility on a vertical credit spread depends on the net Greeks of its two option legs. A credit spread sells one option and buys another with the same expiration but a different strike, receiving a net premium at…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The discussion examines why replacing a vanilla option at one strike with a strip of options across nearby strikes can reduce the sharp gamma concentration near expiry. It offers two related explanations: a strip distributes exposure across strikes, and as…

OptionsDerivatives pricingVolatility
Quant Q&A

The document uses a one-period, two-outcome stock model to show how stock and call positions can produce a payoff that is the same in either market outcome. With the stock ending above or below the strike, the call’s payoff differs across states. Choosing a…

OptionsEquitiesDerivatives pricingPortfolio construction
Quant Q&A

The document considers how to define carry for a USD payer swaption with a six-month expiry and a ten-year underlying swap. It questions a simple calculation based on subtracting a short-term LIBOR fixing from a ten-year yield, and whether that spread alone…

OptionsFixed incomeCarryVolatility
Quant Q&A

The note explains the CBOE Put Protection Index as a tail-protection strategy: it holds exposure to the S&P 500 and buys a monthly put struck out of the money. The put premium reduces returns in ordinary markets, while the option can cushion losses when the…

OptionsEquitiesVolatilityRisk management
Quant Q&A

The document challenges the idea that fitting a convex curve in strike-implied-volatility space guarantees an arbitrage-free option surface. Implied volatility need not itself be convex for market prices to be free of arbitrage, and convexity of implied…

OptionsDerivatives pricingVolatilityMarket microstructure
Quant Q&A

The document presents two ways to price a forward-start call whose payoff depends on the asset price at the start date as well as at expiry. One approach conditions on the information at the forward start date and rewrites the value using the price of an…

OptionsDerivatives pricingVolatilityBacktesting
Quant Q&A

At expiration, a call with a zero strike pays the stock price when the stock price is nonnegative. The discussion asks whether this means the option should be worth the stock itself before expiration, and whether shareholder rights or counterparty risk…

OptionsDerivatives pricingStatistics
Quant Q&A

The question describes an energy option that runs across several months. For each month, its strike resets to that month’s first-of-month index, and daily settlements below that level generate a payoff based on the difference. The question asks how to value…

OptionsCommoditiesDerivatives pricing
Quant Q&A

The document addresses why the Black–Scholes call formula contains different volatility adjustments in d1 and d2 under risk-neutral pricing. It outlines a derivation route: solve the stock price process with its drift set to the risk-free rate, then express…

OptionsDerivatives pricingStatistics
Quant Q&A

In a binomial model, the risk-neutral probability is chosen so that the stock’s expected return under that pricing measure equals the risk-free rate. The document explains why a stock’s CAPM expected return is not substituted: option valuation uses…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document examines the Black–Scholes prices of digital calls and puts as volatility approaches infinity, assuming a zero interest rate. From the model’s formulas, it identifies limiting prices of zero for the call and one for the put, independent of…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document raises a conceptual question about volatility skew: options at different strikes imply different volatilities, even though implied volatility is often treated as a measure of expected future risk. It asks whether those differences represent…

OptionsVolatilityDerivatives pricing
Quant Q&A

The discussion explains how Black-Scholes is used in over-the-counter FX vanilla options. Market quotes commonly express implied volatility in delta space; traders convert those quotes into prices using the relevant market inputs, such as spot, rates, and…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document asks whether a flat implied-volatility skew implies a normal risk-neutral distribution when option prices are converted into a density using the Breeden–Litzenberger relationship. It notes that the density inferred from its stated formula…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document seeks to interpret a paper's implied-gamma method for fitting option prices across strikes. In the described approach, gamma is a modeler-selected parameter defining a return uncertainty set. For each in-sample strike, the parameter is…

OptionsVolatilityDerivatives pricingRisk management
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 concerns a Monte Carlo estimate of a European call option price compared with the Black–Scholes analytical value. The implementation uses antithetic normal draws: each simulated stock path is paired with one generated from the opposite shock,…

OptionsDerivatives pricingStatisticsBacktesting