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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
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

8,116 documents

Quant Q&A

The document clarifies a common misunderstanding of the Feynman–Kac theorem in a stochastic calculus text. The theorem is not asking the reader to discover an unknown terminal function: the payoff function is specified as part of the problem. A derivative’s…

Derivatives pricingOptionsStatistics
Quant Q&A

The document addresses which options to use for research on S&P 500 index options, comparing contracts on the index, its futures, and exchange-traded funds. It offers a concise liquidity assessment based on electronic-market bid-ask spreads measured in…

OptionsEquitiesUS marketsExecution
Quant Q&A

The document explains how a risk-neutral probability density for the underlying at expiration can be recovered from the second strike derivative of call prices, under a constant interest-rate assumption. Once recovered, the density can be integrated against…

OptionsDerivatives pricingVolatilityArbitrage
Quant Q&A

The document asks how useful implied volatility remains when the Black–Scholes assumptions do not fit the market. It uses stock-borrowing fees as an example: different borrowing and lending rates can change the pricing equation, so an option price must be…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document poses a risk-neutral pricing problem for a derivative that pays the square of a non-dividend-paying stock price at maturity. It proposes discounting the expected terminal payoff, but the attempted expression does not satisfy the Black–Scholes…

OptionsDerivatives pricingStatistics
Quant Q&A

The document examines whether a portfolio that is neutral to vega is also neutral to gamma and theta. One response gives a specific result for portfolios of calls and puts sharing the same maturity: under the Black–Scholes framework, gamma neutrality and…

OptionsDerivatives pricingRisk managementVolatility
Quant Q&A

The document introduces an ATM implied-volatility correction in a free-boundary extension of SABR, motivated by pricing under negative rates. It describes a small-time heat-kernel approximation and gives a first-order correction for the at-the-money case…

OptionsVolatilityDerivatives pricing
Quant Q&A

The discussion explores estimating one-day downside risk for a portfolio that combines linear assets with short option exposure. It contrasts fitting a generalized Pareto distribution to the tail of repriced historical portfolio returns with simulating…

OptionsRisk managementVolatilityStatistics
Quant Q&A

The discussion considers how to price same-day-expiry options on futures across equity indexes, energy commodities, and Treasury markets. The response says many futures options are European and can be priced with Black–Scholes, while some contracts are…

FuturesOptionsCommoditiesDerivatives pricing
Quant Q&A

The document asks why long-horizon realized excess returns on agency mortgage-backed securities may fall below their average option-adjusted spread over duration-adjusted Treasuries. The response attributes the gap to borrower prepayment behavior changing…

Fixed incomeOptionsRisk management
Quant Q&A

The document raises a mathematical question about deriving an asymptotic option-price expression used in the Hagan SABR implied volatility formula. It focuses on a partial differential equation for option value, with terms involving the forward price,…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document compares two ways to extract risk-neutral information from option prices. Breeden-Litzenberger (BL) uses the curvature of call prices across strikes to estimate an entire risk-neutral density. Bakshi-Kapadia-Madan (BKM) methods estimate…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document sketches a multifactor geometric Brownian motion framework for pricing options whose payoffs depend on multiple assets. Each asset has its own volatility, while shared Brownian factors create dependence; factor loadings determine the modeled…

OptionsMulti-assetDerivatives pricingStatistics
Quant Q&A

The document considers whether a risk system can simplify a multicallable bond by treating an assumed call date as its maturity. For small interest-rate sensitivity calculations, one possible shortcut is to identify the exercise date associated with yield to…

Fixed incomeRisk managementOptionsStatistics
Quant Q&A

The document discusses hedging a perpetual up-and-out call with a strike of 110 and barrier of 120. One proposed static hedge buys stock in an amount intended to cover the option’s maximum intrinsic payoff at the barrier. This is a buy-and-hold superhedge…

OptionsDerivatives pricingRisk managementVolatility
Quant Q&A

The document discusses which financing rate belongs in option valuation and whether call and put quotes can be used to infer it. It starts from European put-call parity, then compares that relationship with observed option bids. One answer says the inferred…

OptionsDerivatives pricingArbitrage
Quant Q&A

This discussion explains how to interpret at-the-money swaption volatility quoted under normal and Black conventions. Normal volatility is expressed in rate units, commonly basis points, while Black volatility is relative to the forward swap rate. The…

OptionsFixed incomeDerivatives pricingVolatility
Quant Q&A

The document raises a derivatives calibration question by analogy with joint modeling of the S&P 500 and VIX. Since the VIX is derived from S&P 500 options, the author asks whether the Euro Stoxx 50 and VSTOXX should likewise be calibrated together. The…

EquitiesOptionsVolatilityDerivatives pricing
Quant Q&A

The document addresses whether Python users can price compound options through QuantLib's CompoundOption class. The accepted answer reports that the class is not exposed in the Python module: attempting to access it through the QuantLib namespace raises an…

OptionsDerivatives pricing
Quant Q&A

The document clarifies competing conventions for dollar gamma. It distinguishes dollar gamma, commonly expressed as gamma multiplied by the square of the underlying price, from the half-dollar-gamma coefficient used in the second-order approximation of…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document discusses how phoenix and snowball autocallable notes can be valued and hedged. It describes the note price as a combination of a zero-coupon bond, coupon exposure, a short down-and-in put that may be terminated by autocall, and issuer profit.…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document works through a question about deriving a continuous-time equation for the value of an investment with an option to stop. It presents a Bellman relation that compares immediate stopping value with the value of continuing, including profit flow…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks how to check a Python implementation of delta hedging for a short European call, offset by a long position in the stock sized to the option’s delta. It proposes examining the distribution of the combined hedge-and-option profit and loss…

OptionsDerivatives pricingBacktestingRisk management
Quant Q&A

The document asks how to interpolate implied volatility between listed maturities to construct a volatility surface for a Black–Scholes delta-hedging experiment. It considers bilinear interpolation and seeks guidance on methods that can fill values between…

OptionsVolatilityDerivatives pricingStatistics