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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
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 considers a cash-or-nothing claim that pays when one of two risky assets exceeds the other at maturity. Both assets are modeled with geometric Brownian motion driven by the same Wiener process, alongside a risk-free asset. The proposed pricing…

OptionsDerivatives pricingMulti-asset
Quant Q&A

The document explains how to express gold’s price against a basket of currencies to reduce dependence on any single currency’s movements. Its example basket combines fixed amounts of US dollars, euros, and Japanese yen, then converts the basket value into…

CommoditiesForexMulti-asset
Quant Q&A

The document asks how to convert daily portfolio and benchmark returns, contributions, and allocation and selection effects into monthly attribution while keeping the effects consistent with the portfolio’s excess return. It distinguishes compounding returns…

Multi-assetPortfolio constructionStatistics
Quant Q&A

Macro funds do not share one standard framework for managing risk or modeling returns. Their practices differ with each firm’s strengths, investment style, and willingness to use quantitative methods; some are less receptive to formal risk models than…

Multi-assetRisk managementFactor investingStatistics
Quant Q&A

The document discusses challenges in measuring risk for open-ended real estate funds in Europe, where property valuations and market structures vary by country, property type, and market segment. It argues that standard financial techniques such as Monte…

Risk managementStatisticsMulti-asset
Quant Q&A

The document asks how to estimate a portfolio volatility measure at a fixed time in Berlin when the portfolio spans US, European, and Japanese equity indices trading in different time zones. It considers using observations aligned to that local time and asks…

Multi-assetEquitiesFuturesVolatility
Quant Q&A

The document answers whether Swiss Valor numbers follow a pattern that reveals information about a security. It explains that a Valor number is an identifier with no intrinsic meaning: when a new identifier is needed, the next available number is assigned.…

Multi-asset
Quant Q&A

The document explains how currency hedging can affect the risk and return of foreign investments. Long-run studies cited in the discussion suggest hedging may leave returns similar while reducing volatility, which can benefit mean-variance investors. Over…

Multi-assetRisk managementPortfolio constructionCarry
Quant Q&A

The document explores how to allocate capital among models that trade different instruments, strategies, and holding periods. One proposed starting point is to treat each strategy–instrument combination as a portfolio component and apply mean–variance…

Multi-assetPortfolio constructionRisk managementPosition sizing
Quant Q&A

The question examines how to define terminal wealth in a finite-horizon asset-pricing model. Agents have exponential utility and consume only in the final period, so their objective is to maximize wealth at the horizon. Earlier wealth can be described…

Multi-assetPortfolio constructionStatistics
Quant Q&A

The document explains why near-zero short-term rates are usually a reason to begin quantitative easing, rather than a reason QE stops working. In the account presented, rate cuts first make cash funding cheaper and holding cash less attractive. Once short…

Fixed incomeMulti-assetRisk management
Quant Q&A

The question asks whether the delta, gamma, vega, rho, and theta of a multi-asset product can be calculated by adding the corresponding Greeks of its underlying assets. The product described pays annual coupons when the performance of an equally weighted…

OptionsDerivatives pricingRisk managementMulti-asset
Quant Q&A

The discussion interprets a claim that hedge funds can ease collateral pressures by deploying liquid collateral and transforming illiquid assets. It connects that flexibility to differences between hedge funds and traditional asset managers, including limits…

Multi-assetDerivatives pricingRisk management
Quant Q&A

The document explains consumption-based asset pricing as a framework linking an asset’s value to how its payoff covaries with consumption across economic states. It addresses the objection that active traders and wealthy investors may not make decisions…

Multi-assetRisk managementPortfolio construction
Quant Q&A

The document seeks research on how manager reputation, track record, and skill relate to mutual-fund and hedge-fund returns and investor flows. Its answer names two mutual-fund studies on costly investor search and managerial risk-taking incentives. A second…

Multi-assetPortfolio constructionRisk managementStatistics
Quant Q&A

The document considers whether volatility or correlation is more stable over one- to two-year horizons and over longer periods. Its central lesson is to analyze the two quantities separately: volatility responds to the size of returns, while correlation…

VolatilityStatisticsRisk managementMulti-asset
Quant Q&A

The document considers whether investors with a persistent strategic allocation, such as a balanced equity and bond portfolio, should add option based protection against severe losses. Its motivation is asymmetric: a large loss may threaten an investor’s…

Multi-assetOptionsPortfolio constructionRisk management
Quant Q&A

The document asks why two Brownian motions with a known correlation can appear nearly uncorrelated when observations are sampled at alternating times, as with markets closing in different time zones. It reviews attempted fixes such as shifting observations,…

StatisticsEquitiesMulti-assetUS markets
Quant Q&A

The document concerns the absorption ratio, a measure based on principal components that is intended to indicate how much return variation is concentrated in common market drivers. The original question asks for a Python implementation and includes code that…

Multi-assetStatisticsRisk management
Quant Q&A

The document responds to a request for advanced reading on global macro investing, where views on economic conditions are expressed across asset classes such as currencies, rates, commodities, real estate, and equities. It offers a varied list of…

Multi-assetStatisticsCarry
Quant Q&A

The discussion explains why market prices and economic data can imply different views of the future. A risk-neutral measure is used to value and hedge traded claims in a pricing model; a physical measure represents real-world probabilities used for…

Multi-assetDerivatives pricingStatisticsRisk management
Quant Q&A

The document explains how a covariance matrix can define an ellipsoidal measure of distance between a random return vector and its expected value. For normally distributed returns with covariance matrix Σ, the density’s exponent is a quadratic form using…

Multi-assetStatisticsRisk management
Quant Q&A

The discussion considers how to select liquid, low-cost ETFs spanning broad asset classes and regions for testing a portfolio selection algorithm. It emphasizes choosing funds that closely track indexes with long histories, so older index data can extend a…

BacktestingPortfolio constructionMulti-assetEquities
Quant Q&A

The document explains why the relationship between equity prices and interest rates changes with the economic backdrop. It contrasts the familiar channel in which higher borrowing costs weigh on firms with conditions where stronger growth lifts earnings…

EquitiesFixed incomeMulti-assetStatistics