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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
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

8,116 documents

Quant Q&A

The document outlines a basic Monte Carlo check of Black–Scholes pricing. Simulate the underlying under risk-neutral geometric Brownian motion for the option’s life, evaluate the chosen payoff at expiry, average the simulated payoffs, and discount that…

OptionsDerivatives pricingBacktestingStatistics
Quant Q&A

The document explains why a spot at-the-money call can have a Black–Scholes delta above one-half, and distinguishes delta from the risk-adjusted probability of expiring in the money. Delta measures the option’s sensitivity to the underlying and the shares…

OptionsDerivatives pricingVolatility
Quant Q&A

The document discusses why an implied volatility smile can curve downward, with at-the-money volatility above that of out-of-the-money puts and calls. Suggested explanations include negative excess kurtosis, which corresponds to thinner tails than a…

OptionsVolatilityDerivatives pricingMarket microstructure
Quant Q&A

The document points to a paper describing how to test claims about Bernie Madoff’s reported steady monthly gains by reconstructing a simplified version of the associated strike-conversion strategy. The referenced work presents backtesting as a way to examine…

OptionsBacktestingDerivatives pricingStatistics
Quant Q&A

The document clarifies an angle-bracket notation appearing in a stochastic-volatility discussion. Although angle brackets often denote quadratic variation or quadratic covariation in stochastic calculus, the same symbols can represent an average in other…

VolatilityOptionsStatistics
Quant Q&A

The document raises a valuation problem involving a derivative whose underlying share price is modeled with geometric Brownian motion while its strike changes with company EBITDA. The author questions whether the absence of a traded EBITDA instrument…

OptionsDerivatives pricingRisk management
Quant Q&A

Quanto option pricing depends on the underlying asset’s volatility, the exchange rate’s volatility, and their correlation. When liquid quanto instruments are available, their prices can imply the combined correlation and volatility adjustment directly;…

OptionsForexVolatilityDerivatives pricing
Quant Q&A

The note explains why delta, gamma, and vega describe an option’s local sensitivity rather than its response to a large underlying-price move. It gives a second-order Taylor approximation for estimating a price change from delta and gamma, and relates gamma…

OptionsDerivatives pricingVolatility
Quant Q&A

The document discusses how to estimate an equity ETF’s forward price and implied dividend yield when building an implied volatility surface. The questioner derives a synthetic forward from call and put prices near the spot price, then combines it with spot…

OptionsEquitiesDerivatives pricing
Quant Q&A

The document asks how to estimate implied volatility for a stock that has no traded vanilla options, when options are available on an index containing that stock. The questioner proposes estimating the stock’s beta to the index, potentially with a Kalman…

EquitiesOptionsVolatilityDerivatives pricing
Quant Q&A

The document considers how weekends should affect historical volatility estimates used in Black–Scholes pricing when option market prices are unavailable. It describes a distinction between calendar time used for discounting and effective volatility time…

OptionsVolatilityDerivatives pricingCommodities
Quant Q&A

The question asks how much capital might be required to influence a stock price and raises options activity, short availability, ownership, and company characteristics as possible factors. It distinguishes this broad price impact question from claims about…

EquitiesMarket microstructureOptionsUS markets
Quant Q&A

The document explains a limiting relationship between risk-neutral probabilities in a finite-step binomial model and those in the Black–Scholes framework. For a given event, the risk-neutral probability generally differs between the two models when the…

OptionsDerivatives pricingStatistics
Quant Q&A

A trader describes trying to sell out-of-the-money puts in an illiquid options market with a wide bid-ask spread. After placing a limit order inside the spread, they observed other sell orders move to the same price when they changed their own quote. The…

OptionsMarket makingMarket microstructureExecution
Quant Q&A

The document considers fitting the SVI volatility model to swaption implied volatilities when forward swap rates can be negative. Standard SVI formulations use log-moneyness, based on the ratio of strike to forward, which is undefined when those rates are…

Fixed incomeOptionsVolatilityDerivatives pricing
Quant Q&A

The document explains Taleb’s “soft” American option idea through foreign exchange options. Unlike a simple stock call or put, an FX option combines exposure to two currencies, so early exercise depends on the relative domestic and foreign interest rates as…

ForexOptionsCarryDerivatives pricing
Quant Q&A

The document collects recommendations for rigorous study of martingale theory, stochastic calculus, and arbitrage pricing. Suggested books include works by Karatzas and Shreve, Shreve’s two-volume finance series, and Musiela and Rutkowski. The answers…

StatisticsDerivatives pricingOptions
Quant Q&A

The document considers how to parameterize an implied volatility smile for cryptocurrency options using observed bid and offer prices. The author’s starting point is a simple power relationship between volatility, strike, and the underlying price, but finds…

OptionsVolatilityDerivatives pricingCrypto
Quant Q&A

The discussion seeks a European call value when the underlying follows arithmetic Brownian motion, with zero interest rates. The questioner changes measure to remove the drift and tries to use the probability of finishing above the strike to derive the…

OptionsDerivatives pricingStatistics
Quant Q&A

This post describes a challenge in constructing an FX local volatility surface for use with a stochastic local volatility model in QuantLib. FX option quotes are commonly specified by delta, so their strikes vary with maturity and market conventions. That…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document raises a foundational question about hedging volatility risk when an asset is modeled with stochastic volatility. It starts from the option-pricing assumption that a second traded asset can hedge changes in the volatility of the underlying, then…

OptionsVolatilityRisk managementDerivatives pricing
Quant Q&A

The document explains how interest rates and dividends affect the carry associated with equity options, and how a long call combined with a short put replicates a forward. It emphasizes that carry belongs to the underlying financing and dividend economics:…

OptionsFuturesCarryDerivatives pricing
Quant Q&A

The document examines whether a portfolio of options can capture a relative implied-volatility opportunity while remaining immune to changes in the underlying price throughout its holding period. The author constructs a four-option position with initial…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document asks why greater correlation might lower the forward value of a basket used in a rainbow option, where the basket payoff weights stocks according to their ranking. It presents two proposed effects: correlation may raise basket volatility and…

OptionsEquitiesVolatilityDerivatives pricing