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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

20,364 documents

Quant Q&A

The document describes a pricing problem involving a multi-asset collar on European natural gas and US oil products, with an additional currency conversion because the contracts are denominated in different currencies. The questioner is considering Monte…

OptionsCommoditiesMulti-assetDerivatives pricing
Quant Q&A

The document describes solving for the risk-aversion parameter in a mean–variance portfolio setup. Portfolio weights are expressed as a function of the parameter, expected returns, the covariance matrix, and a budget constraint. Those weights are substituted…

Portfolio constructionStatisticsRisk managementBacktesting
Quant Q&A

This document asks how to distinguish nominal growth in an equity index tracker from growth in purchasing power. Using a UK all-share tracker and UK inflation as an example, it considers whether historical tracker values can be adjusted by inflation measured…

EquitiesStatisticsUS markets
Quant Q&A

This document examines how units and parameter choices affect the Avellaneda–Stoikov market-making model. It gives the reservation-price skew and optimal spread equations, then asks how price variance, order-arrival intensity, inventory, and remaining…

Market makingVolatilityMarket microstructureRisk management
Quant Q&A

The document gives a finite-difference estimate of a fixed-income instrument’s convexity using its current price and projected prices after equal upward and downward parallel yield shifts. The central second difference, formed by adding the two shifted…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document discusses portfolio optimization using an ETF and VIX futures, comparing minimum-variance and Sharpe-maximizing approaches across different rebalancing schedules. The response focuses on minimum-variance intuition: an asset’s weight is…

Portfolio constructionVolatilityFuturesRisk management
Quant Q&A

The example asks how to calculate the net present value of a property project with an upfront purchase, renovation payments over several months, and a later sale. The answer’s method is to place each cash flow on a timeline, convert the annual financing rate…

Fixed incomeStatistics
Quant Q&A

The document explains how to connect a zero-coupon bond’s price to the stochastic process for the short rate. If the rate follows an Itô diffusion under the risk-neutral measure, applying Feynman–Kac gives a pricing PDE with a terminal condition equal to…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document considers how to validate a low-frequency crypto strategy with roughly 25 trades per year, focusing on the limits of statistical evidence from a small sample and the dependence introduced by adding correlated assets. One reply suggests extending…

CryptoStatisticsBacktestingMachine learning
Quant Q&A

The document asks how to express swap portfolio sensitivities in terms of bond and SOFR futures risks when the swap’s pricing model does not directly use those instruments. It frames the task as mapping risk between two instrument sets and explains that,…

Fixed incomeFuturesStatisticsRisk management
Quant Q&A

The document clarifies what the time partial derivative means when applying Itô’s lemma to a function of a stochastic process. For a function written as f(S_t, t), the partial derivative with respect to t treats the process value S_t as the first, separate…

StatisticsDerivatives pricing
Quant Q&A

The document explains how correlation between two stocks’ Brownian shocks relates to correlation between their simulated price levels under correlated geometric Brownian motion (GBM). It gives formulas for each asset’s mean and variance, their joint…

EquitiesStatisticsBacktesting
Quant Q&A

The document outlines a variance-covariance approach to estimating volatility for a portfolio of cryptocurrencies. It starts from daily price changes, forms a covariance matrix of daily returns, and scales that matrix by 365 to estimate annual variance,…

CryptoStatisticsVolatilityPortfolio construction
Quant Q&A

The document discusses language choices for a pricing library that should support parallel pricing, control maintenance costs, and remain accessible to newer quantitative researchers. It argues that there is no single best language and suggests Python as a…

Derivatives pricingExecutionMachine learning
Quant Q&A

The document derives the instantaneous volatility of a zero-coupon bond price under a one-factor Hull–White short-rate model. It presents the bond price as a deterministic function of time multiplied by an exponential term in the current short rate. The…

Fixed incomeVolatilityDerivatives pricing
Quant Q&A

The document considers how to calculate the correlation between a stock and an index reconstructed without that stock. It defines the reduced index return by removing the stock’s weighted return from the full index return and rescaling by the remaining index…

EquitiesStatisticsPortfolio construction
Quant Q&A

The document explains why annual rate labels can refer to different treatments of compounding. In the US usage it describes, nominal APR is generally a simple annualized rate, while effective APR or APY accounts for compounding; EAR is more commonly used…

Fixed incomeStatistics
Quant Q&A

The document explains how equity returns can be decomposed into an initial dividend yield, a change in valuation, and growth in dividends. Starting from the one-period return that combines the next stock price and dividend relative to the current price, the…

EquitiesStatisticsFactor investing
Quant Q&A

The document raises an unresolved scaling question for dynamic portfolio optimization using the Modified Sharpe ratio. Because that ratio depends on portfolio skewness and kurtosis, the author needs co-skewness and co-kurtosis arrays to construct the…

Portfolio constructionStatisticsRisk management
Quant Q&A

The document collects operational safeguards for an automated trading script interacting with an exchange API. The proposed controls include prioritizing exits and stop orders, checking whether orders reached the venue, handling failed requests, monitoring…

ExecutionRisk managementMarket microstructureCrypto
Quant Q&A

The document asks whether daily log returns can be presented directly as daily variation when the goal is not to report risk over a longer horizon. It distinguishes an individual return observation from a volatility estimate: one return shows a realized…

VolatilityStatisticsRisk management
Quant Q&A

The document asks about an approximation discussed in a paper on delta hedging with a volatility smile: treating the sensitivity of implied volatility to the underlying price as equal to its sensitivity to strike. Under a downward-sloping smile, the cited…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document explains how aggregate dealer gamma may affect hedging flows near options expiry. When dealers are long gamma, movements in the underlying can lead them to trade against the move, buying after declines and selling after rallies. When dealers are…

OptionsVolatilityMarket microstructureRisk management
Quant Q&A

The document compares a manually discounted fixed-rate bond price with the output from RQuantLib. Its example uses a five-year bond with annual coupons, a flat interest rate, and a settlement date one day after the evaluation date. The manual calculation…

Fixed incomeDerivatives pricingStatistics