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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 document considers how to track exit risk for a portfolio of direct investments in real estate, infrastructure, and private equity. It proposes treating the ability to sell as an option: the hypothetical premium for a right to exit could serve as a cost…

OptionsRisk managementFixed incomeBacktesting
Quant Q&A

The document explains why derivative values are calculated using risk-neutral probabilities rather than real-world outcome probabilities. In a one-period binomial model, a replicating portfolio determines a contingent claim’s no-arbitrage price without…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document asks whether a European option can be priced in a Black–Scholes setting when its payoff depends on a general transformation of the underlying asset. It illustrates the question with a call payoff equal to the positive part of a transformed…

OptionsDerivatives pricing
Quant Q&A

The document asks whether refinancing should be triggered by a simple comparison between lower interest payments and refinancing fees. It presents consumer heuristics for fixed-rate mortgages, including refinancing when market rates fall by a threshold or…

Fixed incomeOptionsDerivatives pricingRisk management
Quant Q&A

The document considers how to speed up repricing American equity options after constructing implied volatility surfaces. It describes the existing workflow of smoothing end-of-day surfaces and applying finite-difference pricing with discrete dividends, then…

OptionsDerivatives pricingExecutionMarket microstructure
Quant Q&A

The document discusses how to choose regression basis functions in the Longstaff–Schwartz least squares Monte Carlo method for valuing American-style options, including real options with multiple risk factors. The question is whether the few Laguerre…

OptionsDerivatives pricingStatisticsBacktesting
Quant Q&A

The document asks how to define option vega when volatility varies with the underlying asset price, using the CEV form in which local volatility is proportional to a power of the asset price. It contrasts this setting with Black–Scholes, where volatility is…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document derives a Black–Scholes–Merton value for a call-like payoff that is positive when the terminal asset price exceeds the strike and scales with the reciprocal of that price. It rewrites the payoff using an indicator and inverse asset, relating the…

OptionsDerivatives pricingStatistics
Quant Q&A

The discussion compares possible ways to track changes in option volatility skew relative to at-the-money volatility. One answer proposes measuring the implied-volatility difference between the strikes where Black–Scholes d2 equals zero and d1 equals zero.…

OptionsVolatilityDerivatives pricing
Quant Q&A

The note asks how to differentiate a Carr–Madan Fourier integral for option prices with respect to a model parameter. Since the integration limits do not depend on that parameter, the proposed application of differentiation under the integral sign leaves the…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The note explains why option prices generated by a stochastic volatility model can imply a volatility smile when those prices are converted using the Black–Scholes formula. Under Black–Scholes pricing with one fixed volatility, the prices of calls across…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document describes a comparison between intraday VIX-style implied volatility and realized variance computed from one-minute prices aggregated into hourly intervals. The implied measure is calculated from option prices for two maturities around 30 days,…

VolatilityStatisticsOptionsBacktesting
Quant Q&A

The document considers the probability that one of two correlated geometric Brownian motion prices finishes above the other, while the lower price also exceeds a threshold. It rewrites the event using shifted Brownian variables as two simultaneous…

StatisticsDerivatives pricingOptions
Quant Q&A

The document examines a transaction described in a book about Enron. It says Enron held futures on its own stock whose gains could not be recognized as profit under accounting restrictions, while it had recorded a mark-to-market gain on RhythmsNet shares.…

EquitiesOptionsRisk managementDerivatives pricing
Quant Q&A

The document explains how to remove the random component from a portfolio made of an option and its underlying stock. Applying Itô’s lemma to the option value shows that the portfolio’s Brownian-motion exposure is proportional to the option’s delta and the…

OptionsDerivatives pricingRisk management
Quant Q&A

The document explains convertible bond arbitrage as buying a convertible bond while shorting the issuer’s stock to create a delta-hedged, long-volatility position. The strategy seeks to benefit when realized volatility exceeds the bond’s implied volatility,…

ArbitrageOptionsEquitiesVolatility
Quant Q&A

The document compares QuantLib Greeks for a stylized foreign exchange option with Bloomberg values, focusing on a mismatch in theta. It explains that QuantLib's analytic Garman-Kohlhagen engine reports model theta: the derivative of option value with respect…

ForexOptionsDerivatives pricingRisk management
Quant Q&A

The document considers Monte Carlo pricing of barrier options under a Dupire local-volatility model. The questioner has calibrated smooth implied-volatility surfaces and calculates local volatility at simulation dates, but finds daily stepping slow for long…

OptionsVolatility
Quant Q&A

The document asks how to price two claims under Black–Scholes: one paying the time integral of the asset price and another paying the squared log of its terminal price. For the integral claim, the answers use discounted risk-neutral expectation and…

Derivatives pricingOptionsStatistics
Quant Q&A

The document asks how to obtain an FX option’s volatility from a surface quoted by delta and tenor. The proposed workflow first reads the at-the-money volatility, determines the option’s corresponding delta, then interpolates the volatility surface at that…

OptionsForexVolatilityDerivatives pricing
Quant Q&A

The document examines whether a European call butterfly, formed from three strikes, must have a strictly positive price under no arbitrage. It warns that subtracting separate lower-bound inequalities does not establish the desired result. One argument uses…

OptionsDerivatives pricingArbitrageStatistics
Quant Q&A

The document asks for free software to price high-dimensional American basket options under the Black–Scholes model using the Longstaff–Schwartz, or least squares Monte Carlo, method. It seeks control over the number of basis functions, simulation paths, and…

OptionsDerivatives pricingBacktesting
Quant Q&A

The document asks how to interpret the Black–Scholes price of a European equity call. It focuses on the formula’s two normal cumulative distribution terms, the stock price, and the discounted strike, and proposes reading the distribution terms as…

OptionsDerivatives pricingStatistics
Quant Q&A

The document shows how to express a structured note’s terminal payoff as a combination of the underlying index and call options. In the example, the payoff follows the index below the principal level, stays flat over an intermediate range, and gains…

OptionsDerivatives pricingVolatility