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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
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

2,013 documents

Quant Q&A

The document explains how to combine separately estimated asset volatilities into a portfolio volatility estimate when the assets have nonzero correlations. Its central method is to form the covariance matrix and calculate the portfolio variance as the…

Multi-assetPortfolio constructionVolatilityStatistics
Quant Q&A

The document raises a portfolio risk management problem: how a fund investing in both public markets and private assets can measure active risk and establish acceptable limits. It identifies private equity, private credit, infrastructure, and real estate as…

Risk managementPortfolio constructionMulti-asset
Quant Q&A

The document investigates why Yahoo Finance showed different apparent prices for SWRD.L depending on the chart interval. The accepted answer attributes the discrepancy to a currency and listing mismatch: the daily chart and historical data for the…

EquitiesMulti-asset
Quant Q&A

The document asks how to add a tactical forecasting layer to a plain risk parity allocation. Its example is anticipating a shift in fixed income from a bullish to a bearish trend and reducing duration to hedge the portfolio. It also asks about forecasting…

Multi-assetFixed incomeTrend followingPortfolio construction
Quant Q&A

A zero floor in a Credit Support Annex prevents the rate paid on cash collateral from falling below zero, even when the overnight index swap rate is negative. The document explains that the floor’s value is relative to an otherwise comparable agreement…

Fixed incomeDerivatives pricingMulti-asset
Quant Q&A

The document asks whether a multi-factor rolling beta can be estimated by regressing a hedge fund index’s returns on several asset-class return series, then repeating the regression over a moving window. It confirms this as the basic approach, while warning…

Multi-assetStatisticsFactor investing
Quant Q&A

The document distinguishes a financial instrument from a financial product in its stricter usage. A financial instrument, such as a share, bond, or option, represents legal rights held by its owner; ownership and those rights can be transferred through…

Multi-assetFixed incomeOptions
Quant Q&A

The document compares realized variance computed from a basket’s own time series of returns with variance reconstructed from its constituents’ volatilities, weights, and pairwise correlations. The first method squares and sums basket returns over time; the…

Multi-assetStatisticsVolatility
Quant Q&A

The document raises a modeling question about simulating a currency pair with geometric Brownian motion when the asset is assumed to respond to relative economic performance. It proposes using the difference between the two countries’ GDP growth rates as the…

ForexStatisticsMulti-asset
Quant Q&A

The document asks how to estimate parameters for three synchronously sampled processes: one geometric Brownian motion and two arithmetic Brownian motions. Their driving Brownian motions have specified correlations with the first process. The proposed route…

StatisticsMulti-asset
Quant Q&A

The document asks whether investors can find historical records of forecasts for future returns, broken down by asset class and issued at regular intervals. The desired data would preserve what an institution expected at each date for a coming year, quarter,…

Multi-assetPortfolio constructionStatistics
Quant Q&A

The absorption ratio measures the share of return variance captured by a fixed number of principal components. A higher value indicates that asset returns are more concentrated in common factors, which the cited work interprets as greater market fragility.…

Multi-assetStatisticsRisk managementBacktesting
Quant Q&A

The discussion considers how to tell when an investment strategy has become popular or overcrowded. One proposed market-based signal is a shrinking premium: for a short-volatility trade, compare implied volatility with realized volatility and account for…

Multi-assetVolatilityRisk managementSentiment
Quant Q&A

The document considers how to allocate capital among several assets when one trading strategy can generate signals for multiple assets on the same day. It proposes using historical daily returns to estimate each asset’s variance and cross-asset covariances,…

Multi-assetPortfolio constructionRisk managementBacktesting
Quant Q&A

The document addresses converting a weekly financial risk index into monthly observations by averaging the values assigned to each month. It presents several approaches in R: grouping observations by calendar month with a base-language aggregation function,…

StatisticsBacktestingMulti-asset
Quant Q&A

The document explains how a personal finance app can gather investment account data from multiple brokerages. This capability is commonly called account aggregation: information from separate accounts is collected in one place so a user can monitor holdings…

Multi-assetExecutionRisk management
Quant Q&A

The document considers how to choose an objective end date for historical financial crises when comparing market correlation matrices. The questioner studies broad indices across equities, foreign exchange, credit, and commodities, and mentions principal…

Multi-assetStatisticsEquities
Quant Q&A

The document distinguishes relative purchasing power parity (PPP) from price-level PPP, two approaches that can produce different estimates of an exchange rate. Relative PPP projects exchange-rate changes from inflation differences between two countries over…

ForexStatisticsMulti-asset
Quant Q&A

The document compares two ways to calculate returns and volatility for a 70/30 stock-and-bond risk benchmark. One method rebalances to the target weights monthly; the other lets weights drift for a chosen period before calculating returns. The question is…

Multi-assetPortfolio constructionRisk managementBacktesting
Quant Q&A

The document considers whether an investor comfortable with all-equity exposure could hold a diversified stock-bond portfolio and use leverage to bring its volatility up to the level of stocks. The proposed rationale is that the mix may offer better…

Multi-assetPortfolio constructionRisk managementStatistics
Quant Q&A

The document asks whether an open-source system can combine demo trading, bookkeeping, profit-and-loss tracking, and risk calculations across products such as bonds, repos, equities, foreign exchange, and derivatives. It names Marketcetera and Merchant of…

Multi-assetRisk managementDerivatives pricing
Quant Q&A

The document considers whether a hedge fund can meaningfully sum vega exposures across asset classes such as equities and credit. Its central point is that aggregate sensitivities are not exact measures of portfolio risk unless the underlying risk factors…

Multi-assetVolatilityRisk managementPortfolio construction
Quant Q&A

A minimum-return promise can be viewed from the beneficiary’s side as protection against losses and from the pension fund’s side as a short put. If portfolio returns fall below the guarantee, the fund must cover the shortfall; stronger returns pass through…

OptionsDerivatives pricingRisk managementMulti-asset
Quant Q&A

The document shows how claims on the minimum or maximum of two asset prices at maturity can be decomposed into one asset plus or minus a call-like payoff on the difference between the assets. In a Black–Scholes setting, the difference payoff can be valued…

OptionsDerivatives pricingMulti-asset