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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

20,364 documents

Quant Q&A

The document addresses pricing a positive-part payoff built from weighted prices of two assets observed at multiple dates. It asks whether a closed-form formula exists when a spread involves more than two prices. The response proposes moment matching:…

OptionsDerivatives pricingMulti-assetStatistics
Quant Q&A

The document explains how least-squares Monte Carlo (LSM) estimates the value of callable derivatives and exposure measures without repeatedly running costly nested simulations. It simulates model states and their discounted future cash flows, then fits a…

Machine learningDerivatives pricingStatisticsRisk management
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 why principal components extracted from yield curve data may correlate less strongly with familiar level, slope, and curvature measures than a reference study suggests. The questioner fits PCA to par yields and compares the resulting…

Fixed incomeStatisticsPortfolio construction
Quant Q&A

The document outlines a way to estimate day-over-day changes in historical simulation VaR without fully revaluing the portfolio. Begin with the historical risk vector, adjust it for new and removed positions using their sensitivities, and update portfolio…

Risk managementBacktestingStatistics
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 discusses how to check an option-adjusted spread (OAS) produced by an external calculator. Because OAS results depend on the calculation method and model, verification begins by identifying the stochastic model behind the utility. One can then…

Fixed incomeDerivatives pricingRisk managementStatistics
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 outlines data management issues that can affect backtests using intraday US equity quotes and trades. Beyond missing records, timestamp alignment, and cleaning unusual trades, it highlights changing symbol histories and trading sessions,…

EquitiesUS marketsBacktestingMarket microstructure
Quant Q&A

The document derives the instantaneous volatility of the product of two correlated assets modeled with lognormal diffusion dynamics. Applying Itô’s product rule produces a return shock with contributions from both assets, including their correlation.…

StatisticsVolatilityDerivatives pricing
Quant Q&A

The document asks whether principal component analysis (PCA) is appropriate for interest-rate term structures that appear non-stationary, and whether a Kalman filter would be preferable. Its answer recommends applying PCA to changes in yield-curve points,…

Fixed incomeStatistics
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 raises a portfolio-construction question about coordinating an alpha model with a statistical risk model. The risk model decomposes returns into factor exposures and factor returns, leaving residual returns. The proposed alpha model uses…

Factor investingPortfolio constructionMachine learningStatistics
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 assesses a shortcut for obtaining a global minimum-variance portfolio under a no-short-sale constraint. The shortcut first computes the unconstrained closed-form portfolio, sets negative weights to zero, and renormalizes the remaining weights to…

EquitiesPortfolio constructionRisk managementStatistics
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 asks how futures positions can change a portfolio’s beta, referring to a textbook explanation that reduces beta by cutting short futures contracts and raises it by adding long contracts. The underlying idea is that a futures position contributes…

FuturesRisk managementPortfolio construction
Quant Q&A

The document addresses why bank profitability ratios can differ across references, focusing on net profit margin and return on assets. Net profit margin may use net interest income or broader total income as its denominator, while return on assets may use…

EquitiesStatisticsFactor investing