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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 asks how default affects the nondefaulting party in a plain interest rate swap. Party A pays floating and receives fixed from B; if A defaults, the question is why B’s position appears to benefit when rates rise but not when rates fall. It…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document explains why market makers often do not set displayed size through a single theoretical optimization such as a Kelly-style rule. They quote across many strikes, expirations, and sometimes underlyings, while trying to balance incoming flow or…

Market makingOptionsPosition sizingMarket microstructure
Quant Q&A

The document shows that the sum of cubed Brownian increments over a partition converges to zero in probability as the partition mesh shrinks. It assumes a partition of a fixed time interval and uses the facts that each increment is centered with zero third…

Statistics
Quant Q&A

The note considers whether a more complex SABR Libor Market Model offers an advantage over a simpler SABR model for pricing and hedging plain vanilla interest rate options. Its central point is that if the LMM is calibrated to the same volatility smile…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document describes an effort to reproduce parameter estimates from continuous-time stochastic models of US inflation. It lists reported estimates for log-normal models with constant, local, and mean-reverting Vasicek drift, using historical CPI data and…

Fixed incomeStatisticsMachine learningBacktesting
Quant Q&A

The note considers why volatility can show long memory and why its measured persistence may vary across periods. It describes an analysis of daily realized volatility for multiple assets, comparing autocorrelations before and after the global financial…

VolatilityStatisticsMarket microstructureTrend following
Quant Q&A

The note surveys ways to approximate a hedge fund’s return stream using a different, potentially passive strategy. It groups prior research into linear factor models, nonlinear or less transparent models, and work emphasizing the difficulty of reliable…

Factor investingPortfolio constructionStatisticsBacktesting
Quant Q&A

The note explains the upper bound on a European call’s value: under the stated no-arbitrage assumption, its price cannot exceed the price of the underlying asset. The proposed argument is to sell an overpriced call and buy the underlying, creating a positive…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document explores why options are studied separately when idealized binomial and Black–Scholes models describe replicating a call with stocks and bonds. The responses explain that exact replication relies on restrictive assumptions, including constant…

OptionsDerivatives pricingRisk management
Quant Q&A

The question asks whether Markowitz minimum-variance optimization can choose weights for a basket of call options on different stocks, given fixed strikes, a covariance matrix, and weights summing to one. The answer distinguishes minimizing expected payout…

OptionsPortfolio constructionDerivatives pricing
Quant Q&A

The document considers how to fit a predicted distribution of future stock log returns using the realized profit and loss of European calls and puts at expiration. It asks how this objective translates mathematically and compares it with likelihood-based…

OptionsStatisticsBacktesting
Quant Q&A

The document explains how issuer-level CDS contracts relate to the bonds and loans underlying an issuer’s credit risk. A CDS is not tied exclusively to one bond: its terms identify one or more reference obligations, while the contract generally covers a…

Fixed incomeDerivatives pricingMarket microstructure
Quant Q&A

The document asks how to justify the boundary conditions for the Black–Scholes equation for a European call. It states the pricing PDE and lists a zero call value at zero underlying price, an asymptotic call value matching the underlying price as that price…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks how to evaluate exponential moving averages as a forex trading strategy and requests research on their effectiveness. The response offers two starting references on technical analysis in foreign exchange: a 1992 study of technical analysis…

ForexTechnical indicatorsBacktesting
Quant Q&A

The document asks how to interpret a mean-reversion coefficient Φ in a discrete process where the next value is a fraction (1−Φ) of the current value plus a random shock. It expands the recurrence to show that the initial value’s contribution decays…

Mean reversionStatistics
Quant Q&A

The document examines how to calculate the implied repo rate for a Treasury futures contract using its cheapest-to-deliver bond. The question applies a financing return formula to the futures invoice value and the bond purchase price, including accrued…

FuturesFixed incomeRisk management
Quant Q&A

The note explains why combining two trading strategies does not guarantee a higher Sharpe ratio. It treats strategy return streams as assets in a mean-variance portfolio and shows that the achievable Sharpe depends on their expected returns, volatilities,…

Portfolio constructionStatisticsRisk management
Quant Q&A

The document addresses how to retrieve a changing set of valid security codes from Bloomberg in Excel, especially when option strikes and expirations change. Instead of manually listing possible strikes and building each option code, the accepted answer…

OptionsExecution
Quant Q&A

The note explains how to infer an investor’s risk-aversion coefficient for a portfolio on an efficient frontier, provided the investor follows mean-variance preferences. It starts with utility equal to expected portfolio return minus a risk penalty…

Portfolio constructionRisk managementStatistics
Quant Q&A

The document discusses the edge ratio as a tool for evaluating the entry component of an algorithmic trading system. It presents two limitations: unlike the Sharpe ratio, the edge ratio is not commonly requested by investors, and its statistical properties…

BacktestingStatisticsRisk management
Quant Q&A

The document addresses whether a flat rate must be constructed from a normal interest-rate term structure to use Black–Scholes for a European option. The answer explains that the relevant discounting rate for an option expiring at time T is the zero-coupon…

OptionsDerivatives pricingFixed income
Quant Q&A

The discussion explains that the cover artwork for Guyon and Labordère’s book on nonlinear option pricing was chosen partly for its visual suggestion of nonlinear level sets. The author’s explanation says the artwork has no direct connection to the book’s…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks how to choose the number of factors in an equity risk model when adding factors can explain more return variance and reduce specific variance. It distinguishes describing risk from explaining average returns: a factor may improve fit…

EquitiesFactor investingStatisticsRisk management
Quant Q&A

The discussion examines why the CAPM security market line is straight despite a portfolio-return expression that includes a leverage-related quadratic term when returns are framed as exponential growth rates. The accepted response explains that the efficient…

Portfolio constructionStatisticsRisk management