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
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
WonderTrader
14 documents
Alphalens
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

2,013 documents

Quant Q&A

The document derives the familiar annualization rule for covariance of asset log returns: multiply the per-period covariance by the number of periods in a year. It uses the covariance-of-sums identity. When returns within each period may co-move but returns…

Multi-assetStatisticsPortfolio construction
Quant Q&A

The document asks how to build a non-USD discount curve for EUR/USD and GBP/USD mark-to-market basis swaps collateralized in USD. The proposed construction uses forward rates for the short end and cross-currency basis swaps at longer maturities. The central…

Fixed incomeMulti-assetDerivatives pricingRisk management
Quant Q&A

The document outlines a workflow for evaluating a portfolio under non-parallel interest rate shocks. Start with specified scenarios, apply the tenor-specific shifts to the relevant curves, reprice affected instruments, and measure the resulting price…

Fixed incomeMulti-assetRisk managementPortfolio construction
Quant Q&A

The document asks how to generate observations from a four-factor t-copula when the dependence matrix changes over time. Its setting is a series of 2,000 correlation matrices from a copula-DCC model, with one matrix intended for each time step. The accepted…

Multi-assetStatisticsVolatilityBacktesting
Quant Q&A

The note addresses why variance minimization can help find cointegrating combinations among nonstationary series. It explains that when a cointegrating relationship exists, the coefficients can be estimated super-consistently, giving more flexibility in how…

StatisticsMulti-asset
Quant Q&A

The discussion considers how to simulate returns for a portfolio containing many equities and bonds while retaining realistic dependence across assets. The initial proposal estimates historical means, standard deviations, and correlations, draws multivariate…

Multi-assetPortfolio constructionStatisticsBacktesting
Quant Q&A

The document derives an index’s single-period total return from security weights, price changes, and income. It rewrites each holding’s contribution as the sum of its price return and income return, then takes the weighted sum across holdings. This makes the…

Multi-assetPortfolio constructionStatistics
Quant Q&A

Black–Litterman needs equilibrium weights for a market portfolio to infer implied returns. When the investment universe contains a mix of assets such as stocks and bonds, market capitalizations may be unavailable or hard to compare, so the document…

Multi-assetPortfolio constructionStatistics
Quant Q&A

The document explores whether investor reallocation can explain spillovers between asset returns. It starts from a mean-variance utility model and derives an unconstrained relationship between an investor’s holdings in two assets: the sensitivity of one…

Multi-assetPortfolio constructionStatistics
Quant Q&A

This discussion addresses why a consumer price index can look nearly linear over a selected historical period even though a constant positive inflation rate would compound. It distinguishes an index level from the inflation rate: sustained target inflation…

StatisticsMulti-assetCommodities
Quant Q&A

The document explains how to simulate two correlated asset paths under geometric Brownian motion. It starts with a covariance matrix encoding each asset's volatility and their correlation, then factors that matrix with a Cholesky decomposition. Multiplying a…

Multi-assetStatisticsBacktesting
Quant Q&A

This community discussion describes several routes into quantitative finance, including transitions from computer science, physics, statistics, and other academic or commercial backgrounds. It stresses that “quant” covers distinct jobs, from derivatives…

Multi-assetHigh-frequency tradingArbitrageMachine learning
Quant Q&A

The document explains how portfolio theory can be adapted when holdings and weights change over time. It describes dynamic optimization as repeatedly estimating allocations at scheduled rebalancing dates, using data available up to each date, rather than…

Multi-assetPortfolio constructionVolatility
Quant Q&A

The document considers whether high and low prices can improve correlation estimates from OHLC bars. Its central point is that open and close observations have known timing, while the relative timing of each asset’s high and low is unknown. A joint estimator…

StatisticsVolatilityMulti-asset
Quant Q&A

The document asks how to interpret cross-asset moves after an FOMC announcement and whether deleveraging can be measured through changing covariance, signal responses, or trend formation. The response cautions against explaining market moves with a single…

Event-drivenMulti-assetStatisticsMomentum
Quant Q&A

The discussion considers GPU selection for parallel quantitative finance workloads, with the original question asking whether hardware should favor multiplication over addition. One answer suggests that for MATLAB or Python on a single machine, the…

Multi-assetExecutionBacktesting
Quant Q&A

This document identifies financial laws and regulatory frameworks that may affect investment advisers, European financial firms, commodity markets, anti-money-laundering work, taxation, broker-dealers, and securities exchanges. Its examples include US…

Risk managementMulti-assetUS markets
Quant Q&A

The note addresses how to find aggregate market-size figures for structured products across product categories. The answerer says they do not know of a global estimate and points instead to European industry data compiled from national market figures. This…

Multi-assetStatistics
Quant Q&A

The document asks how to apply multidimensional Itô’s lemma when a function maps a vector of stochastic processes to another vector. It illustrates the question with a vector of assets divided by a stochastic numeraire, a transformation that can arise when…

StatisticsDerivatives pricingMulti-asset
Quant Q&A

The document asks about obtaining long historical daily price series across thousands of instruments and several asset classes. The response says that paid vendors do offer historical datasets, but that assembling prices is only part of the task. Data…

Multi-assetBacktestingEquities
Quant Q&A

The document poses an idealized optimization problem: given the historical prices of a small set of assets over a fixed interval, find the sequence of trades that maximizes terminal wealth from an initial cash amount. The investor may hold up to a limited…

EquitiesMulti-assetPortfolio constructionBacktesting
Quant Q&A

The document describes how to combine three asset return series into a portfolio index with fixed weights of 50%, 25%, and 25%. It recommends calculating each asset's simple percentage return, taking the weighted sum at each time step, adding one to obtain…

Portfolio constructionBacktestingMulti-asset
Quant Q&A

The document explains how to simulate two correlated Hull–White short-rate processes, such as rates for two currencies, using QuantLib. Its suggested construction combines separate Hull–White processes in a stochastic process array and supplies a correlation…

Fixed incomeMulti-assetStatisticsBacktesting