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

This note explores how to display portfolio returns when allocations span more than two assets. For a two-asset portfolio with weights constrained to sum to one, the author describes a heatmap-like view in which color and circle size encode the return…

Portfolio constructionStatistics
Quant Q&A

This note asks when the expectation of a Taylor expansion’s remainder can be represented by a remainder evaluated at the expected deviation from the expansion point. It focuses on a payoff function of a random variable and the distinction between averaging a…

Statistics
Quant Q&A

The document explains why a caplet whose payoff is fixed and paid on the LIBOR fixing date is more involved than one paid at the end of the underlying accrual period. For the latter, the forward rate is modeled as a martingale under the matching maturity…

Fixed incomeOptionsDerivatives pricingVolatility
Quant Q&A

The document distinguishes a rough estimate of trade capacity from a precise execution model. Its central answer is that immediate market-order capacity depends on the quantity available on the relevant side of the order book when the order reaches the…

ExecutionMarket microstructurePosition sizingStatistics
Quant Q&A

The document presents a proposed closed-form value for a convertible bond under a two-factor setup involving the stock price and a Vasicek-like interest-rate factor. The cited response expresses the value in a Black-style form, using the stock price, a…

Fixed incomeOptionsDerivatives pricingVolatility
Quant Q&A

The document considers how to compare portfolios optimized using mean-variance (MV), mean-variance-skewness (MVS), and mean-variance-skewness-kurtosis (MVSK) approximations to a CARA utility function. It proposes evaluating performance out of sample using…

Portfolio constructionStatisticsRisk management
Quant Q&A

The document surveys ways to obtain exposure to volatility using options. One straightforward approach is to hold an at-the-money straddle and delta hedge it, while recognizing that its volatility sensitivity changes as the underlying moves away from the…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document describes an R error encountered while attempting to compute implied volatility by solving for the volatility that matches an observed option price. The reported failure occurs when the root-finding interval is constructed, even though the code…

OptionsDerivatives pricing
Quant Q&A

The document discusses the empirical market-impact relation in which price movement scales with volatility and the square root of trade size relative to market turnover. It presents two explanations: a market-microstructure account based on the shape of the…

Market microstructureExecutionStatistics
Quant Q&A

The document discusses how to simulate a stock’s future value over annual periods. Its clearest practical point appears in the second answer: if the modeled random variable is a log return, exponentiating that draw and multiplying by the starting price…

EquitiesStatisticsBacktesting
Quant Q&A

The document presents a minimum-variance portfolio problem with bounds on individual stock weights and a limit on turnover from current holdings. The questioner introduces separate buy and sell variables to represent changes in weights, but their equality…

Portfolio constructionRisk management
Quant Q&A

The document asks how to choose a long-run horizon when modeling euro-area inflation for a pension fund balance sheet. Because the inflation series is treated as non-stationary, the author proposes modeling its differences with a VAR and adjusting their…

StatisticsFixed incomeRisk management
Quant Q&A

The document asks how to price several option payoffs that depend on the underlying asset at two future dates, with a fixed constant also appearing in maximum and minimum terms. The valuation time precedes both dates. The author wants to know whether the…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explores why investors may demand additional yield for holding bonds that are difficult or costly to sell. It distinguishes the value of superior liquidity, which can support a higher bond price and lower yield, from compensation for expected…

Fixed incomeMarket microstructureRisk management
Quant Q&A

The document asks for the fourth moment of an Itô integral whose integrand is the square root of time. One response treats the integral as a normally distributed random variable because the integrand is deterministic, using the Itô isometry to identify its…

Statistics
Quant Q&A

The document discusses a two-stage classification approach to finding trading opportunities. A primary model is tuned for high recall, accepting false positives so that it identifies most potential positive cases. A secondary model then attempts to filter…

Machine learningStatistics
Quant Q&A

The document examines why the relationship between Japanese government-bond yields and equity returns may change sign. The question proposes measuring rolling or dynamic conditional correlation between the Nikkei 225 and ten-year government bonds, then…

EquitiesFixed incomeStatisticsRisk management
Quant Q&A

The document considers fitting a multivariate GARCH model to Russian exchange-rate and stock-index data whose observations fall on different dates because of holidays and market schedules. It presents two broad ways to align the series: aggregate to a…

StatisticsVolatilityForexEquities
Quant Q&A

The document asks how to build a worldwide dashboard of companies linked to lithium and other commodities, extending beyond an Australian-market listing to regions such as the Americas, Europe, and Asia. It considers whether major financial data services…

CommoditiesMulti-asset
Quant Q&A

The document addresses whether separate exchanges can assign the same code to different stocks. It explains that no general rule prevents this, even though exchanges often use distinct naming conventions. A ticker or stock code alone therefore may not…

EquitiesMarket microstructureExecution
Quant Q&A

The question examines the limit of a put price divided by its strike as the strike approaches zero, under zero interest rates. It rewrites the put payoff expectation as the probability that the terminal stock value is below the strike, minus a scaled…

OptionsDerivatives pricingStatistics
Quant Q&A

The document poses a sequential choice problem: a decision-maker visits rooms in order, observes each picture’s value, and may take only one, with the final room forcing a choice. Values are assumed to follow a uniform distribution from one to one hundred.…

StatisticsPosition sizing
Quant Q&A

This discussion describes fitting a SABR volatility surface to options on SOFR futures. The workflow solves for implied Black or Bachelier volatilities at selected out-of-the-money strikes, calibrates SABR with QuantLib, adjusts parameters by hand, then…

FuturesOptionsVolatilityDerivatives pricing
Quant Q&A

The document sets up a hierarchical claim-count model for non-life insurance. Conditional on a positive latent heterogeneity parameter, the number of claims is Poisson distributed; the parameter itself has a continuous density on the positive real line. The…

StatisticsRisk management