Skip to content

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 explains why a bank can find low-credit-risk lending or securities consuming under a leverage ratio. Traditional risk-based capital rules assign different capital charges according to credit risk, while the leverage ratio described here compares…

Risk managementFixed income
Quant Q&A

The document presents a method for analyzing whether a stochastic process is a martingale: apply Itô’s formula to obtain its differential, then inspect the coefficient of the time increment, or drift. A zero drift makes the process a local martingale under…

StatisticsDerivatives pricing
Quant Q&A

The document distinguishes running basis points from upfront basis points in bond risk and carry calculations. Upfront basis points translate a running spread into a price-risk amount using DV01, the dollar value of a one-basis-point yield move; the…

Fixed incomeCarryRisk managementPosition sizing
Quant Q&A

The document addresses how to identify a particular financial index when providers publish many strategy, currency, or other variants under similar names. Its example is a family of hedge fund indexes whose labels differ by strategy and currency, making…

Multi-assetMarket microstructure
Quant Q&A

The document explains how minimum-variance and minimum-tracking-error portfolio problems relate to quadratic programming and second-order cone programming. It clarifies that expressing a continuous convex risk constraint as a cone constraint does not remove…

Portfolio constructionRisk managementFactor investingStatistics
Quant Q&A

The document asks how the residual income valuation model should change when the cost of equity varies over time. It begins from the constant-rate formulation, where discounting and the residual income adjustment use the same rate, and considers why the…

EquitiesStatistics
Quant Q&A

The document compares error assumptions in simple ARIMA models with those used in ARIMA-GARCH estimation. It explains that some ARIMA or ARMA models can be fitted with ordinary or iterative least squares, while maximum likelihood estimation is often used…

StatisticsVolatility
Quant Q&A

The document explains how a prospective hedge fund employer or investor may evaluate a person’s claimed Sharpe ratio. The usual evidence is a return time series, preferably from live trading and at daily frequency. Some reviewers may accept a combination of…

Risk managementStatistics
Quant Q&A

The document poses an optimal stopping problem for a firm's profit modeled as a Brownian process with drift and volatility. The value is expressed as accumulated discounted profit up to a stopping time, then rearranged into a term involving an expected…

StatisticsMachine learningBacktesting
Quant Q&A

The document explains how to test whether a signal predicts returns by sorting securities into portfolios according to the signal, then comparing high-signal and low-signal groups. A spread portfolio is formed by going long the high group and short the low…

EquitiesPortfolio constructionFactor investingBacktesting
Quant Q&A

The document considers whether the yield difference between on-the-run and off-the-run bonds of similar maturity could support a mean-reversion trade. It explains why the spread may reflect persistent differences in liquidity and investor demand: new issues…

Fixed incomeMean reversionRisk managementMarket microstructure
Quant Q&A

The document shows a QuantLib setup for pricing European call options with the analytic Black–Scholes engine. It compares outputs for several strikes with an online calculator and asks whether QuantLib supports Black ’76. The response identifies two inputs…

OptionsDerivatives pricing
Quant Q&A

The document explains why cumulative delta readings in the E-mini S&P 500 futures contract (ES) can differ sharply from those in its micro contract (MES). Cumulative delta records executed buying versus selling volume in a particular contract. Although the…

FuturesMarket microstructureExecution
Quant Q&A

The document asks how to assess correlations between one stock’s returns and another stock’s returns shifted across different lags. It distinguishes this cross-series question from the usual use of the Ljung–Box test for autocorrelation within one series.…

EquitiesStatistics
Quant Q&A

The document describes a static replication result for a European payoff using calls and puts across a range of strikes. For a twice continuously differentiable payoff function, the second derivative determines the weights applied to vanilla options. The…

OptionsDerivatives pricing
Quant Q&A

The document derives bounds on the derivative of a call price with respect to strike. It compares calls with nearby strikes and uses the fact that, at maturity, the difference between their payoffs is bounded by zero and the negative of the strike gap.…

OptionsDerivatives pricingFixed income
Quant Q&A

The document asks how to price equity quanto options with a local-stochastic volatility model, building on a proposed Heston approach that adjusts equity and variance dynamics for quanto effects. The supplied answer recommends modeling both the equity and…

OptionsDerivatives pricingVolatilityForex
Quant Q&A

The document asks how the long-run mean, often denoted theta, in an Ornstein–Uhlenbeck model should relate to the initial mispricing of a mean-reverting pair spread. It refers to a paper on optimal profit-taking and stop-loss boundaries, which describes…

Pairs tradingMean reversionStatistics
Quant Q&A

The document explains how forward rates relate to the dates in an interest rate swap's floating leg. It distinguishes payment dates, accrual dates, reset or fixing dates, and rate valuation dates. The rate being estimated is associated with the period over…

Fixed incomeDerivatives pricing
Quant Q&A

The document asks how to use estimated betas and risk premia from a Fama–MacBeth regression to predict returns. Its answer draws a distinction between testing an asset pricing model and building a forecasting model: Fama–MacBeth regression is presented as a…

StatisticsFactor investing
Quant Q&A

The document compares Monte Carlo Value at Risk with a parametric approach. Monte Carlo methods can be useful when a portfolio contains nonlinear or path-dependent positions, such as options, mortgage-backed securities, or convertible bonds. The method…

Risk managementOptionsDerivatives pricingStatistics
Quant Q&A

The document considers how to size three long and short currency positions to target a specified annual portfolio volatility while allocating risk equally. The proposed procedure first scales each currency position separately so that each standalone position…

ForexVolatilityPosition sizingPortfolio construction
Quant Q&A

The document describes a learner's attempt to estimate a GARCH(1,1) volatility model by hand after fitting an AR(1) model to a return or time series. The AR(1) residuals supply the lagged squared innovations used in the conditional variance equation, while…

StatisticsVolatility
Quant Q&A

The document asks how to price American options in QuantLib when the contract is specified by a time to maturity rather than fixed calendar dates. Its suggested approach is to choose a start date, such as today, and add a period representing the duration in…

OptionsDerivatives pricing