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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

20,364 documents

Quant Q&A

The document describes a calibration question for the eSSVI implied volatility surface, where parameters are fitted slice by slice across maturities. It focuses on a calendar-consistency inequality that links the current slice parameters to those of the…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explores when early exercise can be optimal for American put options in zero or negative interest rate settings. It contrasts the familiar positive-rate intuition for calls with the corresponding conditions for puts, noting that early exercise…

OptionsDerivatives pricingVolatility
Quant Q&A

The document addresses how to compare portfolio performance from quarterly observations over a common sample period. It converts the cumulative return into a per-quarter compounded rate using the number of observations, then annualizes that rate by…

Portfolio constructionStatistics
Quant Q&A

The document explains Euler’s theorem for differentiable homogeneous functions. If scaling every input by a positive factor scales the function by that factor raised to degree k, then the dot product of the input vector with the function’s gradient equals k…

Statistics
Quant Q&A

The document discusses how traders might estimate volatility for option analysis when the appropriate historical lookback is unclear. It describes two choices in historical volatility calculation: the length of the past period being measured and the spacing…

OptionsVolatilityStatisticsDerivatives pricing
Quant Q&A

The document distinguishes historical volatility, calculated from past stock returns, from Black–Scholes implied volatility, inferred from traded option prices. Historical volatility summarizes observed movements, while implied volatility reflects the option…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document raises a model-development question about choosing observation dates for behavioral credit scoring. Such models use account activity, arrears, advances, and other customer information to estimate whether an existing borrower will default during…

StatisticsMachine learningRisk management
Quant Q&A

The document examines a proposed return model combining Fama-French factors with industry random intercepts. The modeler reports a strong relationship between residuals and fitted values and suspects that correlations among industry effects or a nearly…

EquitiesFactor investingStatisticsMachine learning
Quant Q&A

The document explains that a discount curve does not need to use one universal compounding or day-count convention. For no-arbitrage pricing, the underlying discount factor for a given cash flow date is the key quantity; different conventions can express…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document distinguishes a yield curve as a general representation of market interest rates across maturities from a swap curve as one curve built from swap market rates. It explains that other instruments, including government bonds and interbank rates,…

Fixed incomeDerivatives pricing
Quant Q&A

The document asks how inflation risk can affect corporate bond spreads, drawing on Kang and Pflueger’s distinction between inflation volatility and inflation’s relationship with real cash flows. It raises questions about why uncertain inflation can raise…

Fixed incomeRisk management
Quant Q&A

The document derives the expected terminal stock value conditional on the stock finishing above the strike, a term used in the Black–Scholes call price. It starts from geometric Brownian motion, converts the condition that the terminal price exceeds the…

OptionsDerivatives pricingStatistics
Quant Q&A

The document resolves an apparent conflict between the intuition that higher coupon rates mean higher bond convexity and the claim that zero-coupon bonds have the greatest convexity. The key is the definition: convexity is the second derivative of bond price…

Fixed incomeStatistics
Quant Q&A

The document describes a Fama–MacBeth cross-sectional regression of stock excess returns on idiosyncratic volatility, log market capitalization, book-to-market, and beta. The researcher reports statistically significant coefficients and says the…

EquitiesFactor investingStatistics
Quant Q&A

The document outlines how mortgage securitizations were modeled and divided into rated tranches. The response describes using historical mortgage default and loss data, applying stress scenarios, estimating pool cash flows and subordination, and sizing…

Fixed incomeRisk managementStatistics
Quant Q&A

The document raises a backtesting problem for a systematic strategy that repeatedly buys one-year, 90% strike equity index puts and rolls them shortly before expiry. It proposes repricing the option each month with Black–Scholes using the current spot,…

OptionsEquitiesVolatilityBacktesting
Quant Q&A

The document asks whether adverse selection after a limit-order fill has a characteristic time horizon. The question describes an immediate price move against the resting order, followed by the possibility that the market later reverses. The response says…

Market microstructureExecutionStatistics
Quant Q&A

The document asks how much a short straddle could earn in the long run under an efficient market and Black–Scholes assumptions. It assumes the implied volatility used to price options matches future realized volatility, which remains constant over the…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document poses a stochastic differential equation driven by standard Brownian motion, with a drift proportional to the state and a diffusion coefficient that depends on its absolute value. The author asks what sense of uniqueness applies and how to find…

Statistics
Quant Q&A

The document addresses whether industry portfolio returns from Kenneth French's data library can be converted into historical prices. Its answer is that the portfolios are collections of stocks and do not have a single underlying traded price series. Returns…

EquitiesFactor investingStatistics
Quant Q&A

The document explains why a QuantLib schedule moves a swap's Saturday effective date to the following Monday. The schedule uses a business-day convention for date adjustment; the example uses Modified Following, which shifts a non-business date according to…

Fixed incomeDerivatives pricing
Quant Q&A

The document gives two ways to form a bond portfolio with matched dollar BPV, making the portfolio duration-neutral while retaining positive convexity. One example pairs a lower-coupon Treasury with a higher-coupon Treasury of a nearby maturity. The stated…

Fixed incomePortfolio constructionRisk management
Quant Q&A

The document presents a one-period market with three possible states and two assets: a risk-free asset and a risky asset whose returns differ by state. It asks how to prove that no arbitrage exists and how to describe the family of state price vectors when…

StatisticsRisk managementPortfolio construction