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
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 practitioners estimate equity volatility surfaces when listed option prices are scarce or unavailable. The answer describes a market-based approach rather than a formal model: index volatility is informed by active interdealer markets,…

OptionsVolatilityDerivatives pricingMarket microstructure
Quant Q&A

The document describes a question about measuring volatility for five equal-weighted portfolios drawn from S&P 500 constituents and grouped by ESG ratings. Constituents are updated monthly as index membership changes, while ESG group assignments are…

EquitiesVolatilityPortfolio constructionStatistics
Quant Q&A

The document weighs R and Python for quantitative finance tasks, including time-series data handling, statistical modeling, mathematical computation, visualization, derivatives pricing, system integration, and deep learning. Its answers describe different…

StatisticsHigh-frequency tradingMachine learningExecution
Quant Q&A

The document examines an attempted derivation of a European put's upper price bound using a portfolio that shorts the put and invests the proceeds. The key correction is to distinguish present value from terminal value: with continuous compounding at a…

OptionsDerivatives pricingRisk management
Quant Q&A

The document defines a stochastic reserve system in which a fund backs liabilities and a solvency ratio scales an issuance adjustment. The adjustment grows with the square of the ratio up to a cap, while reserve inflows, outflows, and shocks drive changes in…

Risk managementStatisticsCrypto
Quant Q&A

The document asks how a two-sided market maker can use a signed forecast of the next price movement, expressed in ticks, to reduce exposure when prices begin to trend. Its concern is that adverse directional moves can make inventory losses grow faster than…

Market makingMarket microstructureExecutionMomentum
Quant Q&A

The document formulates a wealth-management problem in which an investor chooses a consumption stream and risky-asset holdings while also deciding when to stop. Wealth earns the risk-free return, receives a Brownian-driven risky investment component, and is…

StatisticsRisk managementPortfolio construction
Quant Q&A

The document explains why a daily correlation matrix should not be multiplied by the number of trading days when annualizing covariance. Correlation is dimensionless: it is covariance divided by the product of the two assets’ standard deviations. If…

StatisticsRisk managementPortfolio construction
Quant Q&A

The document raises a notation question about up-and-out and down-and-out call payoffs. It defines the terminal call payoff using the strike and multiplies it by an indicator based on whether the price path remains on the permitted side of a barrier. The…

OptionsDerivatives pricingVolatility
Quant Q&A

The document discusses how to weight a small set of stocks to track the S&P 500. One approach is to estimate weights from historical returns, seeking strong correlation with the index or low tracking error. Regression, principal component methods, and…

EquitiesPortfolio constructionStatisticsBacktesting
Quant Q&A

The document addresses how to calculate average monthly percent excess returns for portfolios formed while replicating the Fama–French five-factor model. Its suggested workflow is to obtain historical portfolio prices or returns and a Treasury bill rate or…

Factor investingPortfolio constructionFixed income
Quant Q&A

The document derives the familiar H-model stock valuation expression as an approximation to a two-stage dividend discount model. In the underlying model, dividends grow initially at a higher rate and later settle to a lower perpetual rate. The derivation…

EquitiesStatisticsPortfolio construction
Quant Q&A

The document introduces utility frameworks that distinguish aversion to ordinary investment risk from aversion to uncertainty about the probabilities themselves, often called ambiguity. It points readers to work on asset pricing under Knightian uncertainty…

Risk managementPortfolio constructionStatistics
Quant Q&A

The document asks how to backtest and plot a strategy whose signals indicate long, flat, or short exposure, using historical prices. The proposed calculation forms log price returns, multiplies them by the prior period’s signal to represent the position held…

BacktestingExecutionStatistics
Quant Q&A

The document shows how to price a call in a one-period binomial model by applying CAPM, then compares the result with the standard replicating-portfolio calculation. It specifies a stock’s up and down outcomes, probabilities, and risk-free rate, computes the…

OptionsDerivatives pricingStatistics
Quant Q&A

The document examines why a convertible bond model might show a higher fair value when the issuer’s CDS spread rises, even though wider spreads imply greater default risk. One explanation uses a delta hedged position: a convertible bond paired with a short…

Fixed incomeOptionsDerivatives pricingRisk management
Quant Q&A

The document explains that an option’s trading currency and venue do not necessarily match those of its underlying. It introduces quanto options, whose payoff is denominated in a different currency, and contrasts them with compo structures that retain…

OptionsFuturesForexDerivatives pricing
Quant Q&A

The document asks whether estimating conditional value at risk, also called expected shortfall, requires different treatment from estimating other properties of a random variable. It specifically names histogram and kernel methods and asks whether…

StatisticsRisk management
Quant Q&A

The document raises practical questions for researching and backtesting crypto or forex strategies when exchange pairs use different quote currencies. It asks how to value holdings in a common currency, such as USD, whether to use a direct market or a chain…

CryptoForexBacktestingPortfolio construction
Quant Q&A

The document formulates the minimum-variance portfolio problem for a universe of stocks. It assumes the portfolio is fully invested, represents asset risk through a covariance matrix, and seeks weights that minimize portfolio variance while requiring the…

Portfolio constructionStatisticsRisk management
Quant Q&A

The document examines why paired leveraged and inverse ETFs can have different daily returns even when their stated goals are equal and opposite multiples of an index’s daily performance. It distinguishes the index level, the fund’s net asset value based on…

EquitiesRisk managementVolatilityExecution
Quant Q&A

The document considers why microcredit, despite its potential role in expanding access to loans, may be hard to turn into a large institutional investment business. It notes that interest rates and lending costs can be high, while the viability of the model…

Risk management
Quant Q&A

The document gives Bloomberg-based routes for locating swap rates and historical swap data, with GBP as its example. It recommends using the Curve Finder to filter for GBP, entering a tenor-specific swap query such as a five-year GBP swap and following the…

Fixed incomeBacktestingUS markets
Quant Q&A

The document collects candidate indicators for assessing recession or crisis risk. It describes labor market measures, including nonfarm payroll changes and weekly unemployment claims, alongside quarterly GDP growth and the Purchasing Managers’ Index. The…

EquitiesStatisticsSentimentUS markets