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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

4,194 documents

Quant Q&A

The document considers how to update the regression coefficients used to orthogonalize a climate exposure factor in a Fama–French–Carhart style return model. The factor is constructed by regressing returns from two exchange traded funds on interest rate…

Factor investingStatisticsEquities
Quant Q&A

The document explains why the Hansen–Jagannathan bound constrains attainable Sharpe ratios rather than the individual means, volatilities, or factor betas of assets. A beta can be bounded using a covariance inequality when asset-return volatility is bounded…

Factor investingStatisticsRisk managementPortfolio construction
Quant Q&A

The document explains how to construct forward twelve-month earnings-per-share growth and measure earnings revisions from Bloomberg estimates. It cautions that the growth field discussed does not support the needed forward-period override, so it cannot…

EquitiesFactor investingStatistics
Quant Q&A

The document compares ways to attribute portfolio risk and argues that the right method depends on the question being asked. Marginal contributions to standard deviation describe the effect of small weight changes; multiplying these by portfolio weights…

Portfolio constructionRisk managementStatisticsFactor investing
Quant Q&A

The document explains how to implement a Fama–MacBeth procedure after estimating asset exposures to the Fama–French three factors. The first pass is a time-series regression for each asset, producing estimated market, size, and value betas. In the second…

Factor investingEquitiesStatistics
Quant Q&A

The document introduces beta as the covariance of a stock’s returns with market returns divided by market return variance. It describes broad empirical tendencies: large, widely held blue-chip firms often have betas nearer one, while small and mid-cap firms…

EquitiesStatisticsRisk managementFactor investing
Quant Q&A

The document interprets a negative coefficient on a credit-related factor in a regression of bank excess returns. The factor is constructed from BBB bond returns after removing the component associated with interest rate movements. The answer suggests that…

EquitiesFixed incomeStatisticsFactor investing
Quant Q&A

The note explains that a stock hedge depends on what neutrality means. Dollar neutrality is one possible target; setting expected return to zero is another, though the answer describes it as uncommon. For market or factor neutrality, returns can be projected…

EquitiesPortfolio constructionFactor investingRisk management
Quant Q&A

The document asks whether the Fama–French CMA investment factor is less informative in economies where capital allocation is shaped by government influence. Its premise is that firms’ investment decisions may reflect political priorities as well as market…

Factor investingEquitiesChina marketsStatistics
Quant Q&A

This question describes a cross-sectional CAPM test using 49 industry portfolios. The author first estimates portfolio betas from time-series data, then regresses mean excess returns on those estimated betas with the intercept constrained to zero to fit a…

EquitiesFactor investingStatistics
Quant Q&A

This discussion concerns equity portfolio stress testing when macroeconomic factors move together. The author has estimated asset sensitivities to several factors and a covariance matrix, and wants to shock one factor, infer changes in the others, and…

EquitiesRisk managementStatisticsFactor investing
Quant Q&A

The document presents a return regression with a market factor and a zero-cost, market-neutral long-short factor, then asks which intercept and factor loadings are consistent with arbitrage pricing theory. It specifies assumptions about factor means,…

Factor investingStatisticsArbitrage
Quant Q&A

The document presents the Nelson–Siegel yield curve as a combination of level, slope, and curvature factors. It describes how the slope loading declines with maturity and how the curvature loading rises to a hump before declining, while the decay parameter…

Fixed incomeStatisticsFactor investing
Quant Q&A

The document considers whether an inflation factor built from the GDP deflator, finished-goods producer prices, and a spot commodity index should use seasonally adjusted or unadjusted historical series. The answer ties the choice to the forecast target.…

StatisticsFactor investingBacktesting
Quant Q&A

The document collects recommendations for quantitative finance papers and research areas, spanning rough volatility, option-implied recovery of future distributions, asset pricing factors, rates options, behavioral finance, and reinforcement learning for…

VolatilityFactor investingDerivatives pricingMachine learning
Quant Q&A

The document considers how to identify comparable companies for large-scale equity screening when standard sector and industry labels do not match intuitive peer groups. The suggested approach is to use SIC classifications from SEC filings and construct…

EquitiesFactor investingStatisticsUS markets
Quant Q&A

The answer explains why Alphalens factor analysis can represent a long-short portfolio after factor values are demeaned. Each value is centered by subtracting the cross-sectional mean, then scaled by the sum of the absolute demeaned values. These transformed…

Factor investingPortfolio constructionStatistics
Quant Q&A

The document examines whether a portfolio of stocks with beta near two should return twice as much as the S&P 500. Under CAPM, a fully diversified portfolio with beta two is expected to earn twice the market risk premium, rather than necessarily twice the…

EquitiesPortfolio constructionRisk managementFactor investing
Quant Q&A

The document asks how to interpret the angle between a vector of expected returns and the portfolio weights produced by mean-variance optimization. It draws on a working paper that uses vector geometry to study Markowitz portfolios and describes robust…

Portfolio constructionStatisticsRisk managementFactor investing
Quant Q&A

The document considers how to judge whether a quantitative investment model’s apparent performance is likely to reflect repeatable skill or a chance outcome. Its example contrasts a strategy that selects a single stock infrequently, which could look…

StatisticsBacktestingRisk managementFactor investing
Quant Q&A

The document proposes a weekly, market-neutral equity strategy for a filtered Nordic stock universe of roughly one hundred names. It combines three equally weighted signals: changes in analyst recommendations, changes in forward earnings estimates, and…

EquitiesMomentumFactor investingBacktesting
Quant Q&A

The document considers whether principal component analysis across stocks can uncover pricing factors for a long-short strategy that buys shares deemed underpriced and shorts those deemed overpriced. Its answer highlights a key limitation: standard PCA maps…

EquitiesFactor investingStatistics
Quant Q&A

The document clarifies how to test whether a strategy’s CAPM alpha differs statistically from zero. The appropriate time-series regression uses the strategy’s excess return as the dependent variable and the market’s excess return as the predictor, with an…

EquitiesFactor investingStatisticsRisk management
Quant Q&A

The discussion addresses whether a weekly momentum factor can be obtained by transforming an existing monthly factor. The answer says there is no direct formula for converting monthly momentum into weekly momentum. Instead, the factor should be calculated…

MomentumFactor investingStatistics