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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

5,922 documents

MQL5 code base

This legacy charting indicator creates a synthetic time series from user-defined formulas applied to multiple selected instruments. It draws each instrument on bars from a chosen timeframe and synchronizes their observations in time, allowing a combined…

ForexMulti-assetPortfolio constructionTechnical indicators
BigQuant

This report proposes classifying equity sectors by how their excess returns relate to economic conditions. It questions existing Chinese cyclical and noncyclical sector indexes, then measures lead-lag correlations between China Securities Index industry…

EquitiesChina marketsFactor investingBacktesting
pyfolio

Pyfolio is presented as a Python library for analyzing the performance and risk of financial portfolios, with compatibility for the Zipline backtesting library. Its central reporting tool is a tear sheet: a collection of plots intended to give a broad view…

Portfolio constructionRisk managementBacktestingStatistics
BigQuant

This article introduces discrete-time stochastic control as a method for dynamic asset allocation. Unlike a traditional mean-variance allocation made without an explicit sequence of future decisions, the approach models portfolio choices across multiple…

Multi-assetPortfolio constructionStatisticsChina markets
ProRealCode

This research summary proposes rotating among Chinese equity sectors according to changing economic cash flows and market discount rates. It uses a two-beta decomposition of the dividend discount model to describe sector sensitivities: financials are…

EquitiesChina marketsPortfolio construction
BigQuant

The document compares two ways to build multifactor equity portfolios. Integration ranks securities using a combined score for all target factors and selects a subset. Mixing first builds separate single-factor portfolios, then allocates among them. The…

EquitiesFactor investingPortfolio constructionBacktesting
BigQuant

This overview presents a multi-factor model as a way to explain stock returns through shared risk exposures, factor returns, and stock-specific residual returns. It frames quantitative management as estimating factor behavior and managing portfolio…

EquitiesFactor investingStatisticsPortfolio construction
SuperMind

This introductory explanation presents Bayesian statistics as a framework for revising probability beliefs when new observations arrive. It contrasts this view with frequentist statistics, which treats probability through long-run frequencies in repeated…

StatisticsRisk managementPortfolio constructionMachine learning
Lumibot

This strategy allocates a portfolio across leveraged funds tied to US stock indexes, Treasury bonds, gold, and oil and gas companies. It assigns each holding a target weight, checks the portfolio daily, and rebalances every four days by comparing each target…

Multi-assetPortfolio constructionPosition sizingBacktesting
BigQuant

The article reviews the 2021 revision of China's Shenwan industry classification and its possible uses in quantitative investing. The revision expanded coverage to A-shares, Stock Connect shares, and selected Chinese firms listed overseas, added three…

China marketsEquitiesFactor investingPortfolio construction
BigQuant

The document surveys the development of enhanced ETFs in China alongside the expansion of actively managed ETFs in the United States. It presents enhanced ETFs as an effort to seek returns above a benchmark while retaining ETF features such as intraday…

EquitiesPortfolio constructionExecutionRisk management
SuperMind

This report reviews the early development of actively managed and enhanced ETFs, focusing on China’s first enhanced ETF launches and the faster-growing US active ETF market. It describes enhanced ETFs as vehicles that seek benchmark outperformance while…

EquitiesPortfolio constructionExecutionRisk management
BigQuant

This 2020 China equity-sector note combines macroeconomic regime signals, earnings relative to valuation, trend signals, historical regime matching, and public-fund holdings to discuss sector allocation ahead of interim reports. It argues that weaker growth…

China marketsEquitiesMomentumFactor investing
BigQuant

This market commentary considers whether foreign investor outflows and a rise in shares becoming tradable would materially affect Chinese equities. It distinguishes short-term trading flows from longer-term institutional allocations, including new mutual…

China marketsEquitiesSentimentEvent-driven
BigQuant

This review describes machine-learning approaches to predicting stock returns from accounting data and company characteristics. It compares linear methods, including ordinary least squares, LASSO, and ridge regression, with nonlinear models such as random…

EquitiesChina marketsMachine learningFactor investing
BigQuant

The article reviews research on whether individual commitment within US equity mutual fund management teams affects performance. It classifies managers as committed when they work only for one fund, and noncommitted when they also manage other funds. The…

EquitiesFactor investingStatisticsPortfolio construction
Stratmill research code

This abstract copula framework provides shared methods for bivariate copula implementations, with named families including Archimedean, Gaussian, and Student forms. It evaluates copula density and cumulative joint probability, and calculates a conditional…

StatisticsMachine learningPortfolio construction
BigQuant

This overview introduces artificial intelligence and machine learning as tools for analyzing financial data and supporting investment decisions or trading operations. It groups methods by task: supervised learning for prediction and classification,…

Machine learningStatisticsRisk managementPortfolio construction
MQL5 code base

The document presents an on-chart dashboard concept for viewing currency exposure across open forex positions. It decomposes each currency pair into its base and quote currencies, then aggregates directional lot exposure by currency. Its example explains how…

ForexRisk managementPortfolio construction
SuperMind

This Chinese-language post outlines a stock selection screen that combines a positive MACD reading with company characteristics and the presence of an outstanding convertible bond. Its stated rationale is to focus on companies with convertible bonds while…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This article describes a modification to random forest models that lets an investor express factor preferences directly in the tree-building process. Selected factors are forced to drive splits near the top of each decision tree, increasing their influence.…

Machine learningFactor investingEquitiesChina markets
FMZ forum

This essay explains black swan events as rare occurrences with unusually large consequences and focuses on the distinction between known risks and unknown unknowns. It uses historical market crashes, a casino liability, terrorism, an epidemic, and the…

Risk managementVolatilityPortfolio constructionEquities
OctoBot

This promotional fireside-chat recap describes OctoBot’s use of AI to turn natural-language requests into crypto trading setups. Examples include selecting a crypto basket, creating a dollar-cost averaging plan, configuring a grid strategy, and generating a…

CryptoMachine learningGrid tradingPortfolio construction
BigQuant

This discussion explains why assets under management and quantitative strategy returns may be related without having a simple linear relationship. It argues that capacity depends on the strategy: too little capital may prevent a portfolio from meeting its…

Risk managementPortfolio constructionExecutionMarket microstructure