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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
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

5,701 documents

MQL5 articles

This article explains how to collect government bond yields from web pages and use them to derive interest rate differentials for forex analysis. It describes finding the data source in a page or its linked resources, extracting the quoted yield, and…

ForexFixed incomeTechnical indicatorsMachine learning
arXiv papers

This paper studies portfolio choice over an individual’s life when income is stochastic and investments include stocks, a bond, and life insurance. The objective accounts for consumption, death benefits, and terminal wealth. A convex trading constraint…

Portfolio constructionMachine learningRisk managementFixed income
SuperMind

This account traces Bridgewater’s All Weather approach from Ray Dalio’s early effort to understand how markets respond to economic surprises. Its central framework separates asset returns into cash, broad market exposure (beta), and manager skill (alpha),…

Multi-assetPortfolio constructionRisk managementFixed income
BigQuant

This study constructs fixed-income fund-of-funds portfolios from products managed by one fund company, considering a setting where the available fund universe is limited. It separates funds into low-, medium-, and high-risk pools based on fund categories,…

Fixed incomePortfolio constructionRisk managementBacktesting
BigQuant

This document introduces two ways to estimate the duration of public bond funds. The stated inputs are portfolio holdings disclosed in quarterly fund reports and the fund’s regularly published net asset value. The purpose is to give investors a way to assess…

Fixed incomeStatisticsPortfolio construction
BigQuant

The document explains a nine-cell framework for classifying bond funds along two dimensions: interest-rate sensitivity and credit quality. Duration determines whether a fund has limited, moderate, or extensive rate sensitivity, with thresholds varying by…

Fixed incomePortfolio constructionRisk management
BigQuant

The document describes a rotation strategy for Chinese convertible bonds, which can behave more like equity or more like fixed income depending on their conversion and bond premiums. It groups bonds as equity-oriented, bond-oriented, or balanced, and says…

China marketsFixed incomeMomentumTrend following
BigQuant

This 2019 outlook reviews China’s financial product and asset management markets amid regulatory change. It argues that rapid market expansion had already slowed before the new asset management rules, with aggregate assets contracting in 2018. The report…

Multi-assetFixed incomeEquitiesChina markets
BigQuant

This report outlines a framework for classifying and evaluating bond funds, with emphasis on medium- and long-term pure bond funds. It groups funds by investment objective, such as seeking returns above the bond market or favoring particular bond types,…

Fixed incomeChina marketsPortfolio constructionRisk management
BigQuant

The report summary presents a Campisi-style performance attribution model for bond funds using net asset value returns, an approach intended for cases where timely holdings data are scarce, especially for private funds. It describes five explanatory factors:…

Fixed incomeFactor investingPortfolio constructionStatistics
BigQuant

This article compares active and index approaches to high-yield bonds, focusing on costs, liquidity, market-value weighting, and pricing inefficiencies. Its central case for active management is that thin trading can make index rebalancing costly and…

Fixed incomeRisk managementMarket microstructure
BigQuant

This article examines how often an investor should make decisions when each decision reflects some degree of skill and incurs trading costs. It models repeated independent outcomes and argues that expected compounded return depends nonlinearly on skill,…

Multi-assetFuturesEquitiesFixed income
BigQuant

This document introduces convertible bonds as instruments combining debt with an option to convert into the issuer’s shares. It outlines core contract features: face value, conversion price and period, coupon, conditional early redemption, and investor put…

Fixed incomeOptionsVolatilityChina markets
BigQuant

This document introduces convertible bonds as instruments combining debt with an option to convert into the issuer’s shares. It outlines core contract features: face value, conversion price and period, coupon, conditional early redemption, and investor put…

Fixed incomeOptionsVolatilityChina markets
BigQuant

This discussion examines how to exclude Chinese convertible bonds after an issuer announces early redemption. The author found that the platform’s redemption-terms table showed one row each for two example bonds, including contractual trigger conditions,…

Fixed incomeChina marketsEvent-drivenBacktesting
Amberdata research

This primer explains how blockchain tokens can represent claims on physical or financial assets, from commodities and property to treasuries and intellectual property. It outlines the infrastructure involved, including smart contracts, legal and compliance…

DeFiOn-chain dataCommoditiesFixed income
BigQuant

This review explains why diversification may help more during declines than during gains, and why average correlations can hide that difference. It recommends estimating an asset pair’s downside relationship by conditioning on the portfolio’s main growth…

Multi-assetPortfolio constructionRisk managementStatistics
SuperMind

This review challenges the assumption that diversification works equally in rising and falling markets. It argues that the useful question is how a prospective diversifier behaves when a portfolio’s main growth asset falls. To measure downside correlation,…

Multi-assetPortfolio constructionRisk managementStatistics
Amberdata research

The newsletter argues that further steepening in US and other sovereign yield curves could signal fiscal strain, currency debasement, and shifting central bank policy. It outlines a possible sequence: central banks lower short-term rates, governments rely…

CryptoFixed incomeOptionsVolatility
Amberdata research

The article explains how blockchain tokens can represent claims on assets such as property, art, intellectual property, commodities, securities, and infrastructure. Fractional ownership and secondary trading may broaden investor access and improve liquidity,…

CryptoDeFiCommoditiesFixed income
BigQuant

The document describes a framework for separating active fixed-income fund returns into persistent strategic factor exposure, short-term tactical exposure, and residual return, which it treats mainly as security selection. Long-run factor betas are estimated…

Fixed incomeFactor investingStatisticsRisk management
BigQuant

This report proposes attributing bond fund returns from net asset value histories, addressing the limited holdings data available for many fixed income funds, especially private funds. Its Campisi-inspired regression model uses five risk factors representing…

Fixed incomeFactor investingPortfolio constructionStatistics
BigQuant

The document offers a brief allocation recommendation for bond funds in a period of increasing credit risk. It advises favoring funds with higher credit scores and specifies a threshold of 2.7 or above according to the authors’ credit scoring table. The…

Fixed incomeRisk managementPortfolio construction