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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

5,701 documents

BigQuant

This report argues that convertible bonds should not be analyzed by applying an equity multi-factor framework uniformly. Because bonds differ in payoff structure, their relevant pricing factors may also differ; the authors describe examining and decomposing…

Fixed incomeDerivatives pricingFactor investing
FMZ forum

This essay contrasts two views of investment risk. Modern portfolio theory uses volatility, standard deviation, and beta as measurable proxies, treating diversifiable company-specific risk separately from market-wide risk. The value investing perspective…

Risk managementStatisticsPortfolio constructionEquities
BigQuant

This research summary proposes a framework for classifying and selecting bond funds according to investment objective, portfolio holdings, historical performance, and manager record. It emphasizes medium- and long-term pure bond funds, assessing their…

Fixed incomeFactor investingPortfolio constructionRisk management
BigQuant

This document introduces the Campisi model as a framework for explaining the performance of pure bond funds. It describes decomposing a fund’s total return and excess return into four sources: income, government-bond effects, spread effects, and security…

Fixed incomePortfolio constructionStatistics
BigQuant

This analysis examines whether limits on how far bond yields can fall weaken bonds’ return contribution and diversification value. It models a global bond portfolio, a global 60/40 stock-bond portfolio, and a leveraged risk-balanced portfolio, using equal…

Fixed incomePortfolio constructionRisk management
BigQuant

This support note addresses an error encountered while extracting basic features for Chinese convertible bonds. The reported failure says the feature extraction module does not recognize the CN_CONBOND market. The response recommends connecting through the…

China marketsFixed income
BigQuant

The report examines how changes in market interest rates can affect listed companies’ net profits through interest expense. It compares industries by the importance of financial expenses relative to net profit, finding higher exposure in areas such as light…

EquitiesFixed incomeStatisticsRisk management
SuperMind

The document compares two ways to estimate a bond fund’s duration. A holdings-based estimate builds a proxy portfolio from the largest positions disclosed in periodic reports and calculates its weighted duration. A NAV-based estimate regresses the fund’s net…

Fixed incomeStatisticsRisk managementPortfolio construction
BigQuant

This report summary lays out a framework for analyzing government interest-rate bonds through supply and demand, return decomposition, duration timing, and portfolio allocation. It attributes supply partly to fiscal conditions and economic pressure, and…

Fixed incomeFuturesTrend followingMean reversion
BigQuant

This research summary links debt-cycle phases across government, financial, and household sectors to movements in bonds, equities, and commodities in China. It describes a transmission mechanism: rising leverage and easier credit may support bond prices,…

Multi-assetEquitiesCommoditiesFixed income
BigQuant

The study estimates duration for medium- and long-term pure bond funds using rolling regressions of fund returns on bond-index returns across maturity segments. It compares constrained linear regression, stepwise selection, and LASSO, selecting LASSO to…

Fixed incomeStatisticsFactor investingEvent-driven
SuperMind

This report summary reviews Chinese private securities funds and market conditions around July 2018. It covers equity, bond, and commodity performance, the size and formation of the private-fund sector, and median fund returns overall and by strategy. It…

Multi-assetEquitiesFixed incomeFutures
Amberdata research

This article summarizes a 2025 industry report that describes tokenization moving into institutional production. Examples cited include tokenized U.S. Treasuries and money-market funds, as well as bank workflows for settlement and repo. The article frames…

Fixed incomeCryptoOn-chain dataMarket microstructure
Amberdata research

This product update describes an institutional dashboard for monitoring tokenized, treasury-backed assets on Ethereum. It focuses on aggregate market capitalization, protocol-level activity, and unique wallet holders, with individual views of issuers and the…

CryptoFixed incomeOn-chain dataDeFi
BigQuant

This overview presents fixed-income-plus investing as a way to seek steadier returns by combining bonds and equities. Its central portfolio argument is that historically low, often negative, correlations between Chinese stocks and bonds can let an…

Fixed incomeEquitiesMulti-assetPortfolio construction
BigQuant

This 2018 market commentary explains a sharp equity selloff through the interaction of growth, inflation expectations, and the expected pace of Federal Reserve rate increases. It uses a simple valuation relationship—earnings divided by interest rates plus…

EquitiesFixed incomeCommoditiesVolatility
BigQuant

This research summary describes a multi-factor approach to selecting Chinese convertible bonds. It treats each bond’s value as a combination of straight-bond value and embedded option value, and examines how bond returns relate to the underlying stock. The…

Fixed incomeOptionsFactor investingPortfolio construction
BigQuant

This note outlines a top-down approach to investing in fixed-income funds. It recommends first forming views on short- and long-term interest rates and credit spreads, then using those views to guide bond-fund selection. When rates are expected to rise, it…

Fixed incomeRisk managementPortfolio construction
BigQuant

The article surveys common sources of investment loss, including broad market movements, issuer default, illiquidity, interest-rate changes, inflation, geopolitical events, concentration, business problems, and legal or regulatory changes. It explains these…

Risk managementPortfolio constructionFixed incomeOptions
BigQuant

This document summarizes a research report on estimating the duration of public bond funds. It describes two approaches that use information from different reporting streams: portfolio holdings disclosed in quarterly fund reports and fund net asset values…

Fixed incomeStatistics
SuperMind

This note describes a Chinese equity screening idea based on a turnover range of 3% to 12%, a circulating share count capped at 5.5 billion shares, and a nonempty name for an outstanding convertible bond. It frames turnover as a liquidity filter and bond…

EquitiesChina marketsFixed income