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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
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
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

8,116 documents

Quant Q&A

This note describes a numerical approach to pricing European and American options under Kou’s double-exponential jump-diffusion model. The implementation uses a Crank-Nicolson time scheme for the partial integro-differential equation, a nonuniform spatial…

OptionsDerivatives pricingVolatilityBacktesting
Quant Q&A

This note outlines a transformation of the Black-Scholes option-pricing equation into a diffusion equation, then asks how to simulate the transformed PDE numerically. It gives the variable substitutions, the resulting heat-equation form, and a transformed…

OptionsDerivatives pricingBacktestingStatistics
Quant Q&A

The document describes how market makers can hedge index options without trading every constituent in the underlying equity basket. For options written on index futures, a single option’s delta exposure can be offset by trading the corresponding futures…

OptionsFuturesMarket makingExecution
Quant Q&A

The document considers a portfolio formed from several contingent claims whose prices depend on one underlying asset. It explains why differentiating the portfolio value as a weighted sum can be misleading: the weights may change over time, but the…

OptionsDerivatives pricingRisk management
Quant Q&A

The document distinguishes the mechanical effect of interest rates on a stock forward price from the broader economic effect of rates on the underlying share price. Under a no-arbitrage carry argument for a non-dividend-paying stock, the forward price is the…

EquitiesOptionsDerivatives pricingArbitrage
Quant Q&A

The document explains why changing interest-rate or dividend-yield inputs can make an option implied-volatility smile appear unusual, especially for in-the-money options. Under Black–Scholes intuition, a higher interest rate raises a call’s modeled value; if…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The question asks whether Black–Scholes can use an expiration measured in hours after converting that duration to years, and why an option calculator returns a different value when the input changes from a day to an hour. The answer interprets the change as…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explains how derivative volatility relates to the volatility of its underlying asset through elasticity, also called leverage or lambda. Elasticity measures the derivative’s percentage price response to a one-percent change in the underlying,…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

This document asks how to translate an earnings event volatility estimate into an implied one-day expected return using a formula from a volatility trading text. The formula combines the exponential of half the event variance with the normal cumulative…

OptionsVolatilityEvent-drivenDerivatives pricing
Quant Q&A

The document frames discrete delta hedging as a tradeoff: more frequent rebalancing can reduce hedge error but raises transaction costs, while less frequent trading lowers costs and leaves greater residual risk. It argues that there is no single practice…

OptionsDerivatives pricingRisk managementExecution
Quant Q&A

The document addresses how to tell whether listed call options are European or American when searching for real market data. Its key distinction is that US options on individual securities are generally American, while options on indexes are generally…

OptionsDerivatives pricingUS markets
Quant Q&A

The discussion explains why an arbitrage-free call price curve should be convex in strike. A butterfly spread combines calls at neighboring strikes so that its payoff is nonnegative across terminal prices and positive over an intermediate range. If the call…

OptionsDerivatives pricingArbitrageStatistics
Quant Q&A

The document explains how to value a payoff equal to a forward LIBOR rate fixed and paid at the start of its accrual period by translating it into a payoff at the period's end. Under the assumed risk-neutral framework, the rate known at the start can be…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document asks whether every twice-differentiable call-price surface across maturities and strikes can be generated by a local volatility function of time and the underlying asset price. It points to the assumption used in Dupire’s approach and seeks a…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explains dual delta as the sensitivity of an option’s value to its strike, distinguishing it from ordinary delta, which measures sensitivity to the underlying price. In the Black–Scholes–Merton framework, call dual delta is negative and relates…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document derives Black–Scholes prices for two contingent claims under geometric Brownian motion. The first pays the positive part of the difference between the stock price at maturity and its price at an earlier observation date. Conditioning on the…

OptionsDerivatives pricingEquities
Quant Q&A

The document discusses how bid-ask spreads affect a minimum-variance portfolio of stock and options. It argues that transaction costs can shift the efficient frontier and change the optimal portfolio. For small trades, it offers an approximation based on the…

Portfolio constructionExecutionRisk managementOptions
Quant Q&A

The document presents a Python workflow for fitting a SABR volatility smile with QuantLib. The example supplies option strikes and implied volatilities, constructs a NoArbSabrInterpolatedSmileSection, sets initial values for alpha, beta, nu, and rho, and…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explains the options phrase “buy back a short strike” as purchasing an option previously sold, thereby closing that short position. The example describes placing an order to buy it back for five cents per contract, with a good-till-canceled…

OptionsRisk managementExecution
Quant Q&A

The document describes a local volatility pricing implementation that derives volatility from an SSVI implied volatility surface using Dupire's formula and finite differences. The author checks the implementation by repricing the vanilla options used to…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document concerns numerical evaluation of the integral used to price a call option under the Heston stochastic volatility model. The question asks whether Simpson’s rule or Gauss–Legendre quadrature is suitable and seeks MATLAB or Scilab implementations.…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The post studies option pricing under a time-dependent Heston model in which mean reversion changes across time intervals while other listed parameters are held fixed. It compares prices from an Elice method and two Monte Carlo approaches, Milstein and…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document outlines a proposed workflow for pricing a quanto option: estimate marginal distributions for the underlying asset and exchange rate, connect them with a copula, then calculate the expected payoff under the resulting joint distribution. Its main…

OptionsForexDerivatives pricingStatistics
Quant Q&A

This document asks why a 15-period binomial model gives an unexpected value for an American put under specified Black–Scholes assumptions. It does not provide a corrected price or a specific diagnosis. Instead, the response offers a general debugging…

OptionsDerivatives pricingBacktesting