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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

8,116 documents

Quant Q&A

The document raises a question about using a non-flat term structure when pricing options on bonds with a normal short-rate model. The author describes a proposed mapping for a ten-year bond: at each future point before maturity, use a zero-coupon yield…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The note asks how to estimate whether options trades were initiated by buyers or sellers, ideally for individual strikes and maturities. It identifies two approaches. A specialized exchange dataset used in published research classified daily call and put…

OptionsMarket microstructureEvent-drivenStatistics
Quant Q&A

The note explains how regular expiration cycles affect which monthly expirations appear for an individual equity option. Its central point is that the traditional January, February, and March cycles describe the pattern of farther-out standard monthly…

OptionsEquitiesUS markets
Quant Q&A

The document compares two ways to estimate the price of a European call at a strike and maturity absent from the market: interpolate neighboring option prices directly, or interpolate model inputs such as implied volatility and then reprice with…

OptionsVolatilityDerivatives pricingArbitrage
Quant Q&A

The document explains where practitioners can obtain dividend and repo assumptions when pricing vanilla equity options. It identifies broker quotes or contract terms as sources for repo rates, noting that the standard rate may apply when the underlying is…

EquitiesOptionsDerivatives pricing
Quant Q&A

This brief exchange asks what price to charge for an option whose expected payoff is zero. The reply gives a minimal market-based answer: a seller would accept the smallest positive amount buyers are willing to pay. It treats the question as one of…

OptionsDerivatives pricing
Quant Q&A

This post raises two practical challenges when using QuantLib from Python: inspecting the market inputs inside a Black–Scholes–Merton process and determining the conventions used to calculate a vanilla option’s Greeks. The author says the library’s C++…

OptionsDerivatives pricing
Quant Q&A

The response offers several theoretical research areas for someone seeking mathematical finance problems grounded in analysis, probability, and optimization rather than statistical modeling. It suggests investigating convergence questions in simulation-based…

Derivatives pricingOptionsStatisticsPortfolio construction
Quant Q&A

The answer interprets “near choice” as dealer jargon for a spread whose midpoint is close to zero. For a risk reversal, the proposed meaning is that buying one direction of the spread or the reverse direction costs roughly the same, with the trader…

OptionsForexDerivatives pricingMarket microstructure
Quant Q&A

The discussion explains why delta neutrality is common in options trading while emphasizing that it depends on the trader’s objective. A market maker who earns spreads may hedge directional exposure to focus on volatility and pricing, whereas a risk taker…

OptionsMarket makingVolatilityRisk management
Quant Q&A

This discussion addresses European swaption pricing under normal volatility, including how to derive a receiver swaption value from a payer value and whether an at-the-money strike equals the forward swap rate. The answer identifies the Bachelier formula as…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document describes a binary option valuation in RQuantLib where a European contract returns a full set of Greeks, but an American contract displays numeric values only for value, delta, and gamma. The response identifies the cause in the library wrapper:…

OptionsDerivatives pricing
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 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 document raises a measurement question for a volatility risk premium strategy using options on a futures contract. The underlying future expires annually, while options are available at quarterly expiries. The proposed measure is to compare the implied…

FuturesOptionsVolatilityStatistics
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 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 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