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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
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 considers whether factor models and momentum strategies used in equities have equivalents in options. It identifies the underlying price, underlying volatility, time to expiration, and interest rates as major influences on option prices. It…

OptionsDerivatives pricingMomentumTechnical indicators
Quant Q&A

The document addresses whether an option-implied distribution for a stock’s log return must be symmetric because Brownian motion is symmetric. The response clarifies that symmetry is not a general property of option-implied distributions and points to models…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document examines numerical difficulties in pricing European calls under the stochastic volatility with correlated jumps (SVCJ) model. The original MATLAB implementation produces integration warnings and NaN values while attempting to recover prices from…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document considers whether Lévy processes and related academic techniques are used on options market-making desks. Its answer argues that Lévy models are a poor practical choice for pricing derivatives under the risk-neutral measure, warning that using…

OptionsDerivatives pricingRisk managementStatistics
Quant Q&A

The document explains why delta neutrality does not guarantee a break-even result or a profit. Delta measures a portfolio’s local sensitivity to the underlying price; it does not eliminate all sources of return or risk. The response distinguishes the claim…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document discusses stopping a Monte Carlo valuation of a European option when the estimate is sufficiently precise. The proposed criterion compares a confidence-interval half-width, estimated as a normal critical value times the sample standard error,…

OptionsDerivatives pricingStatisticsBacktesting
Quant Q&A

The document examines whether probability belongs in explanations of option Greeks. Its response distinguishes uncertainty in future price paths, given fixed model parameters, from uncertainty in the parameters themselves. Under the fixed-parameter…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document asks how to find the time horizon at which the expected change in a derivative payoff reaches zero. It models two underlying quantities as drifting diffusion processes, with one carrying Brownian variance, and expresses the expected payoff…

Derivatives pricingStatisticsOptions
Quant Q&A

The document derives a condition for a vanilla option’s implied volatility curve to have zero slope with respect to strike at a given maturity. Differentiating the Black–Scholes call price, expressed using strike-dependent implied volatility, and comparing…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document considers why an investor holding long-dated calls might also buy deep out-of-the-money puts with shorter expirations. Such puts can provide convex protection in a sharp decline: their delta and gamma may increase as the underlying falls, while…

OptionsRisk managementVolatility
Quant Q&A

The document examines how to replicate the square of a European call’s value across time. It distinguishes a terminal payoff from a value process: the squared call price does not generally have discounted-martingale dynamics, so a terminal claim alone cannot…

OptionsDerivatives pricing
Quant Q&A

The document considers why a long 7Y1Y payer swaption might show gamma with different signs at the 7-year and 8-year points on a par yield curve. The answer suggests that the reported bucketed exposures may come from repricing after a parallel curve bump,…

OptionsFixed incomeDerivatives pricingRisk management
Quant Q&A

The answer argues that implied volatility need not be extracted only from the Black–Scholes lognormal model. It describes constructing option valuation formulas under alternative distributions, including log-hyperbolic-secant, log-Cauchy, log-t, and…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The discussion describes how to represent a complex payoff as a weighted combination of simpler instruments, such as the underlying, zero-coupon bonds, calls, and puts. It frames the task as minimizing the difference between the target payoff and the…

OptionsDerivatives pricingPortfolio constructionStatistics
Quant Q&A

The note explains why the Nifty 50 level observed at 3:30 pm may differ from the price used to settle index options on expiry. The answer states that the settlement price is based on a weighted average of prices during the final 30 minutes of the expiry day.…

OptionsFutures
Quant Q&A

The discussion compares ways to hold a long-term view on oil: physical storage, futures, oil-company shares, and other instruments. Physical oil requires storage infrastructure, while rolling futures can incur costs or benefit from the shape of the forward…

CommoditiesFuturesEquitiesOptions
Quant Q&A

The document explains how the Carr-Madan decomposition represents a European payoff as a bond position, a call-minus-put position at a chosen strike, and integrals of puts and calls weighted by the payoff’s second derivative. In a complete market with…

OptionsDerivatives pricingStatisticsExecution
Quant Q&A

The discussion explains that an issuer can create a contract whose payoff tracks an asset such as gold by promising clients a cash settlement tied to a defined reference price. This is primarily a contractual arrangement. An exchange traded fund, product, or…

Derivatives pricingRisk managementCommoditiesOptions
Quant Q&A

The discussion explains why Black–Scholes remains useful even though it cannot establish a uniquely fair option price. Its broader contribution is the dynamic hedging framework: under suitable assumptions, an option payoff can be replicated by adjusting…

OptionsDerivatives pricingVolatilityMarket microstructure
Quant Q&A

The document asks how to show that a power of a Black–Scholes stock price, normalized by its initial value, is a positive martingale under the risk-neutral measure. It assumes the stock follows the standard risk-neutral diffusion and sets the power using the…

OptionsDerivatives pricingStatistics
Quant Q&A

The answer distinguishes equality of option Greeks from equality of option prices. Greeks describe sensitivities, so two positions can have the same sensitivities while differing by a constant price offset. A replicating or hedging argument can support a…

OptionsDerivatives pricingRisk managementStatistics
Quant Q&A

The answer explains that the Black–Scholes formula follows from the terminal-price distribution of a geometric Brownian motion (GBM). A Monte Carlo method simulates terminal prices under that process, applies the option payoff, averages the payoffs, and…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document examines a European call with a lower strike and a put with a higher strike, both expiring at the same time. It asks whether a condition linking their premiums to the gap between strikes could create a portfolio with a non-negative payoff and…

OptionsArbitrageDerivatives pricing