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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

The discussion classifies second-order partial differential equations as elliptic, parabolic, or hyperbolic, then connects those types to financial models. Option values derived from Itô processes generally have a first-order time derivative and second-order…

OptionsDerivatives pricingStatisticsFixed income
Quant Q&A

The discussion examines what “vega” should mean when an exotic option is priced with a model beyond Black–Scholes. It raises several possible bump conventions: shifting local volatility, changing stochastic volatility parameters, or bumping an implied…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The discussion explains how options enter the U.S. Penny Pilot Program and whether monthly contract volume determines eligibility. The accepted answer says selection was phased through SEC and exchange decisions, rather than governed by a disclosed volume…

OptionsMarket microstructureUS markets
Quant Q&A

The document addresses how to find risk-neutral probabilities that an asset finishes above a threshold at a later observation date, conditional on having stayed below earlier thresholds. A single-date Black–Scholes probability does not capture those multiple…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains a result for American and European digital calls with the same strike and expiry, when the underlying follows Brownian motion without drift and interest rates are zero. A digital pays when its exercise condition is met. The American…

OptionsDerivatives pricingStatistics
Quant Q&A

The document discusses how traders construct implied-volatility smiles and surfaces from option quotes. Its central guidance is to use liquid market instruments across strikes rather than building a curve from calls alone or puts alone. For many European…

OptionsVolatilityDerivatives pricingMarket microstructure
Quant Q&A

The document outlines a calculation for pricing an at-the-money interest rate cap under the Vasicek short-rate model. It derives zero-coupon bond prices from affine term-structure functions, uses those prices to calculate quarterly simple forward rates and…

Fixed incomeDerivatives pricingOptions
Quant Q&A

The document explains how to reconcile the portfolio value changes in a textbook example of a financial institution that has written a European call and dynamically bought shares to hedge it. The share position at the later date is found by summing the…

OptionsEquitiesRisk management
Quant Q&A

The document compares put exercise probabilities under the Black–Scholes–Merton framework. It distinguishes a probability calculated using the stock’s expected return from the risk-neutral probability derived using the risk-free rate, and asks why the…

OptionsDerivatives pricingRisk managementStatistics
Quant Q&A

The document asks what calibration of an option volatility surface means, how often it should occur, and what determines its timing. It starts from the familiar implied volatility smile for one expiry and asks whether a spline with anchor points can…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document asks how stock borrow rates should enter the pricing of short-dated single-stock options. The proposed approach is to compare European and American option values, then use put-call parity relationships across strikes to estimate funding and…

OptionsDerivatives pricingEquities
Quant Q&A

The document explores why correlation between a foreign underlying asset and the exchange rate matters for a quanto option, whose payoff is fixed in the holder’s currency. The questioner compares extreme positive and negative correlation cases in a simple…

OptionsForexDerivatives pricingRisk management
Quant Q&A

The answer proposes using the shape and fit of an implied-volatility smile to flag bad option data. It fits near-the-money observations to estimate an at-the-money volatility, then models the left and right sides separately with quadratic functions of…

OptionsVolatilityStatisticsMarket microstructure
Quant Q&A

The document shows a QuantLib setup for pricing European call options with the analytic Black–Scholes engine. It compares outputs for several strikes with an online calculator and asks whether QuantLib supports Black ’76. The response identifies two inputs…

OptionsDerivatives pricing
Quant Q&A

The document describes a static replication result for a European payoff using calls and puts across a range of strikes. For a twice continuously differentiable payoff function, the second derivative determines the weights applied to vanilla options. The…

OptionsDerivatives pricing
Quant Q&A

The document derives bounds on the derivative of a call price with respect to strike. It compares calls with nearby strikes and uses the fact that, at maturity, the difference between their payoffs is bounded by zero and the negative of the strike gap.…

OptionsDerivatives pricingFixed income
Quant Q&A

The document asks how to price equity quanto options with a local-stochastic volatility model, building on a proposed Heston approach that adjusts equity and variance dynamics for quanto effects. The supplied answer recommends modeling both the equity and…

OptionsDerivatives pricingVolatilityForex
Quant Q&A

The document compares Monte Carlo Value at Risk with a parametric approach. Monte Carlo methods can be useful when a portfolio contains nonlinear or path-dependent positions, such as options, mortgage-backed securities, or convertible bonds. The method…

Risk managementOptionsDerivatives pricingStatistics
Quant Q&A

The document asks how to price American options in QuantLib when the contract is specified by a time to maturity rather than fixed calendar dates. Its suggested approach is to choose a start date, such as today, and add a period representing the duration in…

OptionsDerivatives pricing
Quant Q&A

The document discusses how to interpret exercise decisions for options with multiple exercise dates. It uses a European call to illustrate the basic rule: at expiry, exercise when doing so gives a positive payoff. For a Bermudan option, it compares immediate…

OptionsDerivatives pricingRisk management
Quant Q&A

The document outlines a model for pricing a call on realized volatility by treating realized volatility as the maturity value of a volatility swap. It assumes the swap price follows a lognormal process driven by the same Brownian motion as the underlying…

OptionsVolatilityDerivatives pricingEquities
Quant Q&A

The document addresses why the Black–Scholes derivation relates an option’s price dynamics to those of a self-financing stock-and-bond portfolio. Its central explanation is that replication is constructed backward from the option payoff at expiration: a…

OptionsDerivatives pricingArbitrageRisk management
Quant Q&A

The document examines why a set of out-of-the-money FXI puts appears to become much more expensive with added time to expiration than a simple square-root-of-time rule would predict. The quoted example lists ask prices and implied volatilities across several…

OptionsDerivatives pricingVolatility
Quant Q&A

The document discusses the common binomial-tree choice of an up factor based on volatility and the square root of the time step, with the down factor set as its reciprocal. This reciprocal relationship makes the recombining tree compact: after each step,…

OptionsDerivatives pricingVolatility