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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

5,922 documents

BigQuant

The document turns a past trading approach into a simple stock selection and exit rule. It selects the ten stocks with the highest dividend yields over the previous three years, buys them immediately, and sells one month after a dividend payment if the yield…

EquitiesFactor investingBacktestingPortfolio construction
vn.py community

The post raises an architectural question about combining multiple CTA strategies in a live portfolio. The author has Bollinger-channel and DKX strategies that calculate indicators and position changes, but finds their individual money management conflicts…

FuturesPortfolio constructionRisk managementPosition sizing
SuperMind

This algorithmic strategy combines a nine-signal Piotroski-style fundamental score with short-term return reversal. It ranks stocks using the most recently available quarterly statements, classifies firms as strong, middle, or weak on fundamentals, and pairs…

EquitiesMean reversionFactor investingPortfolio construction
BigQuant

The report reviews two major historical gold rallies and argues that the drivers of gold prices vary over time. It examines two short-term and four long-term factors, using rolling correlations to show that relationships between these factors and gold are…

CommoditiesMean reversionStatisticsPortfolio construction
BigQuant

This strategy searches China A-shares for an established uptrend, then enters on a modest pullback. It defines the trend with five moving averages, spanning short to longer periods, arranged from highest to lowest. A pullback signal occurs when a candle…

EquitiesTrend followingTechnical indicatorsBacktesting
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 discusses high-frequency equity factors built from combinations of price and volume data to capture trading behavior. It describes two examples: an illiquidity factor adjusted for price-path changes and a factor based on aggressive buy…

EquitiesChina marketsHigh-frequency tradingFactor investing
BigQuant

The article explains constant proportion portfolio insurance (CPPI) by building it up through five related allocation strategies. It starts with investing only interest income in stocks, then considers the present value of future interest, reserving enough…

Multi-assetPortfolio constructionRisk managementPosition sizing
BigQuant

The article presents parameter-plane analysis as a way to visualize how combinations of strategy settings affect backtest results. Its example is a Chinese equities strategy combining valuation and float market capitalization ranks. It varies the number of…

EquitiesFactor investingBacktestingPortfolio construction
BigQuant

This short submission translates an investor’s dividend approach into a broad selection and portfolio process. It favors established companies with relatively high dividend yields and stable performance, holds them over a longer horizon, and refreshes the…

EquitiesFactor investingPortfolio constructionBacktesting
BigQuant

This document compares long-only index funds, index-enhanced funds, and quantitative funds in the Chinese public fund market. It notes differences in fees and subscription or redemption efficiency, and frames market, sector, size, and other style exposures…

Multi-assetPortfolio constructionRisk managementFactor investing
BigQuant

This report summary evaluates historical fundamentals and price information as inputs to industry allocation in China. It highlights trailing-twelve-month ROE, single-quarter ROE, and ROE growth as useful historical factors, while finding industry-level…

EquitiesChina marketsFactor investingMomentum
BigQuant

This overview surveys a broad range of investment approaches and the decisions they emphasize. It covers value and growth selection, quantitative modeling, momentum, income generation, index investing, and diversification across asset classes. It also…

Multi-assetMomentumTrend followingArbitrage
SuperMind

This report summary examines whether Chinese public mutual funds’ past risk-adjusted performance predicts future performance, with fund selection and fund-of-funds investing as the motivation. It evaluates managers using alpha from several asset-pricing…

StatisticsFactor investingMomentumPortfolio construction
BigQuant

This industry-rotation approach identifies turning points in broad or sector indexes to classify market conditions as rising or falling. It then ranks industries by their performance rankings over the prior year within those market states, on the premise…

EquitiesChina marketsMomentumTrend following
BigQuant

This review describes a framework for separating portfolio returns into fundamental growth and changes in valuation. It applies the decomposition to value, momentum, quality, and a combined value-quality factor, using long-short portfolios formed from U.S.…

EquitiesFactor investingPortfolio constructionStatistics
SuperMind

This review describes a framework for separating portfolio returns into fundamental growth and changes in valuation. It applies the decomposition to value, momentum, quality, and a combined value-quality factor, using long-short portfolios formed from U.S.…

EquitiesFactor investingPortfolio constructionStatistics
BigQuant

This document summarizes three research topics. The first compares earnings announcement returns (EAR) with standardized unexpected earnings (SUE), describing EAR as a measure of the market response to unexpected information in earnings announcements. It…

EquitiesEvent-drivenFactor investingVolatility
Awesome Systematic Trading

This strategy takes monthly long or short positions across a diversified set of commodity, currency, equity-index, and government-bond futures. For each contract, it compares its excess return over the previous 12 months with zero, going long after a…

FuturesMulti-assetMomentumVolatility
BigQuant

This Chinese market report examines sector allocation using fund quarterly holdings, institutional ownership, and company earnings expectations. It describes which sectors funds increased or reduced during the first half, compares public fund and northbound…

China marketsEquitiesFactor investingPortfolio construction
Stratmill research code

This tutorial illustrates how combining assets or strategies can smooth portfolio returns and raise the portfolio Sharpe ratio, even when individual components have weak risk-adjusted performance. It generates synthetic return series, builds equal-weight…

Portfolio constructionStatisticsRisk managementBacktesting
BigQuant

This June 2022 market-timing note characterizes the broad Chinese equity market as ranging near a lower zone, with moderate-to-low valuations and limited scope for improved risk appetite. It recommends keeping exposure measured and using the 10-day moving…

EquitiesChina marketsTechnical indicatorsPosition sizing
BigQuant

This short assignment defines quantitative investing as using data-based portfolio strategies to seek steady investment growth. It presents automation and reduced emotional influence as advantages, while identifying a steep learning curve and substantial…

Multi-assetPortfolio construction
SuperMind

The strategy ranks stocks each month using five inputs: trailing-twelve-month price-to-earnings and price-to-sales ratios, price-to-book value, one-month price momentum, and one-month trading value. The author reports that trailing-twelve-month PE and PS…

EquitiesFactor investingMomentumPortfolio construction