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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

20,364 documents

Quant Q&A

The document explains how payment-in-kind bond coupons are capitalized instead of being paid fully in cash. In a common structure, the PIK schedule is set in advance: accrued interest increases the bond's factor, while its stated face value stays unchanged.…

Fixed incomeRisk management
Quant Q&A

The question examines the interest term in a derivation of the value change for a call option hedged by shorting delta shares. The reader reasons that buying the call requires borrowing its price, while short-sale proceeds from the shares are lent, implying…

OptionsDerivatives pricing
Quant Q&A

The document asks how to reproduce a chart showing each percentile group's contribution to an asset class's compound returns. The proposed approach is to calculate log returns for bottom, middle, and top groups, sum each group's returns, then divide those…

EquitiesStatistics
Quant Q&A

The document clarifies that an option-adjusted spread is not a return that a hedge will realize on every interest-rate path. OAS is found by projecting an MBS’s cash flows across modeled rate paths, discounting them with the yield curve plus a spread, and…

Fixed incomeOptionsDerivatives pricingRisk management
Quant Q&A

The document explains a Value at Risk calculation for a mixture of a standard normal variable and an independent, rare discrete shock. In the example, the shock shifts a small-probability component far into the loss tail. Because that component accounts for…

Risk managementStatisticsFixed income
Quant Q&A

The document compares two ways to obtain future distributions and price claims from an Itô process. A Fokker–Planck equation evolves the probability density through a deterministic partial differential equation, while Monte Carlo estimates outcomes from…

OptionsDerivatives pricingStatisticsBacktesting
Quant Q&A

The document distinguishes several USD interest-rate curves that may appear in equity option pricing. A discount curve supplies discount factors for cash flows, but its name alone does not specify the benchmark or collateral convention used to construct it.…

OptionsDerivatives pricingFixed incomeUS markets
Quant Q&A

The document considers how to compare two optimized portfolios whose returns are positively skewed and have positive kurtosis. The author asks whether to estimate each portfolio's alpha against value-weighted and equally weighted benchmarks, or regress one…

StatisticsPortfolio constructionRisk managementBacktesting
Quant Q&A

The document surveys ways to obtain long-history intraday data for S&P 500 instruments, including index or ETF prices, futures, and options. The responses describe commercial vendors, exchange data shops, academic databases, and hosted research platforms.…

EquitiesFuturesOptionsMarket microstructure
Quant Q&A

The document explains two special cases of the SABR model by conditioning on a realized volatility path. With beta equal to one, the asset follows a multiplicative diffusion, so its logarithm has a normal distribution and the asset level is lognormally…

Derivatives pricingVolatilityStatistics
Quant Q&A

The document shows how to extend the covariance matrix of underlying assets to include portfolios formed from those assets. It represents the asset returns or random variables as a vector X, the portfolio weights as a matrix W, and the portfolio variables as…

Portfolio constructionStatisticsRisk management
Quant Q&A

The document explains why exchange-traded futures can be bought and sold as standardized instruments even though individually negotiated forwards may carry different delivery prices. Exchanges specify common contract terms, such as the underlying and…

FuturesCommoditiesMarket microstructureExecution
Quant Q&A

The document considers whether to accept a new investment by comparing its expected return with its required return, calculated from the risk free rate, market risk premium, and beta. It notes that this comparison can address whether the investment is…

Portfolio constructionRisk managementEquities
Quant Q&A

The document clarifies that normal and lognormal implied volatility refer to different option pricing conventions, not necessarily to the distribution assumed for the underlying in the SABR model. A normal implied volatility is the value used with Bachelier…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document explains why a Double Heston model uses two stochastic variance processes. A second factor adds flexibility to the relationship between asset returns and volatility, allowing that correlation to change as the factors’ relative contributions…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks how to interpret cross-asset moves after an FOMC announcement and whether deleveraging can be measured through changing covariance, signal responses, or trend formation. The response cautions against explaining market moves with a single…

Event-drivenMulti-assetStatisticsMomentum
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 considers how to estimate a house’s current value from property characteristics and an earlier sale date. It contrasts including date directly in a gradient-boosting model with first adjusting historical prices for market inflation, then…

StatisticsMachine learning
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 explains why a bond’s implied spot rate can differ from a rate curve built with a SciPy univariate spline. The bond has two remaining cash flows, and its price and yield-to-maturity equation imply a final-cash-flow spot rate of about 2.8%, while…

Fixed incomeStatisticsDerivatives pricing
Quant Q&A

The document discusses implicit equity trading costs and the market conditions that shape them. A central explanation is adverse selection: market makers facing informed traders risk trading at prices that will soon move against them. They may respond by…

EquitiesExecutionMarket microstructureVolatility
Quant Q&A

The document outlines a way to analyze a portfolio’s style exposures by linking securities’ factor characteristics to subsequent returns. It proposes a cross-sectional regression across the investment universe, with next-period stock returns as the outcome…

Factor investingPortfolio constructionStatistics
Quant Q&A

Bond prices reflect more than scheduled cash flows. Even bonds with very low default risk can move as investors change their demand for safe assets or revise expectations for monetary policy. For riskier government and corporate debt, yield spreads over a…

Fixed incomeDerivatives pricingArbitrageRisk management
Quant Q&A

The document distinguishes factors as systematic sources of risk from signals that directly generate alpha. In response to questions about discovering and trading factors, it presents value, momentum, and quality as examples of factors identified through…

Factor investingPortfolio constructionRisk management