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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

2,013 documents

BigQuant

This review surveys momentum investing across equities, funds, commodities, bonds, currencies, and cryptocurrencies. It explains cross-sectional momentum, which buys past winners and sells losers, and time-series momentum, which takes positions based on each…

MomentumTrend followingFactor investingMulti-asset
BigQuant

This document is a short summary of a report about constructing a fund-of-funds portfolio that can consistently outperform the median actively managed equity fund. It highlights the difficulty of selecting funds that remain above that benchmark across…

Multi-assetPortfolio constructionStatistics
FMZ forum

Active trading seeks short-term gains from price movements, commonly in liquid and volatile markets. The document describes technical analysis as a tool for identifying opportunities and notes that frequent trading may be needed because short-term price…

Multi-assetTechnical indicatorsExecutionRisk management
MQL5 code base

This indicator overlays candles from a larger timeframe on a chart using filled rectangular areas. It distinguishes candle direction through separate colors for the body and shadows, allowing traders to see higher-timeframe price structure alongside…

Technical indicatorsMulti-asset
BigQuant

This introductory article defines quantitative investing as using numerical models and systematic rules to guide investment decisions. It contrasts model-based methods with more discretionary approaches, then describes claimed benefits: disciplined…

Multi-assetStatisticsBacktestingPortfolio construction
BigQuant

The report describes a sector-rotation framework that pairs quantitative clustering with macroeconomic reasoning. It first groups industries using features such as returns across market conditions, return on equity, and revenue growth, then makes limited…

EquitiesMulti-assetMachine learningStatistics
MQL5 code base

The document describes a dashboard that displays Relative Strength Index readings across nine chart intervals, ranging from one-minute to monthly. It classifies each reading as overbought, oversold, or within a neutral range, using colors to make comparisons…

Technical indicatorsMulti-asset
MQL5 code base

The Repulse indicator represents bullish or bearish pressure associated with each candlestick as a curve. This version is designed to display readings across multiple timeframes, including the timeframes supported by MetaTrader 5. It also provides three…

Technical indicatorsMulti-asset
MQL5 code base

This brief indicator description introduces a higher-timeframe version of an Adaptive Cycle Oscillator. Users can choose the indicator period through an input setting, with a four-hour period shown as the default example. The note says the indicator is…

Technical indicatorsMulti-asset
Stratmill research code

This reference explains several ways to measure dependence among asset returns and distance between correlation structures. Distance correlation can detect nonlinear dependence and is zero exactly when variables are independent, unlike Pearson correlation,…

StatisticsPortfolio constructionRisk managementMulti-asset
BigQuant

This study examines value, momentum, carry, and defensive factor returns across six asset classes using data spanning roughly a century. It compares each factor’s discovery period with earlier and later periods, using the long history and cross-asset…

Factor investingMulti-assetMomentumCarry
BigQuant

This report summary reviews Schroders as an asset manager and describes its investment approach, asset mix, and historical fund performance. It says the firm focuses on asset management, with equities prominent in its portfolios, and reports that many funds…

Multi-assetEquitiesFactor investingPortfolio construction
BigQuant

The document gives brief examples of using large-scale and unconventional data to inform investment research. Satellite images of retail and office parking areas are described as a way to estimate business activity, while satellite monitoring of shipping is…

Multi-assetSentimentMachine learning
BigQuant

The document explains how Brinson attribution uses portfolio holdings to separate active return into allocation and security-selection effects. The framework can be applied across industries for equity funds or across broad asset classes for mixed-asset…

Portfolio constructionStatisticsEquitiesMulti-asset
BigQuant

This event announcement describes a strategy framework that uses macroeconomic timing to adjust a multi-asset portfolio as markets and economic conditions change. The stated approach is to monitor macro indicators for turning points in the economic cycle,…

Multi-assetPortfolio constructionStatisticsRisk management
BigQuant

This report summary presents a strategic allocation framework that shifts the budgeting unit from asset classes to macroeconomic drivers, aiming to reduce exposure to changing correlations among assets. Principal component analysis is used to derive five…

Multi-assetFactor investingPortfolio constructionRisk management
MQL5 code base

This indicator displays ChandelierStops trend positions from ten timeframes in one view. It compares the indicator line with minimum and maximum price levels and colors its squares accordingly: light green when the line is below the minimum level, and pink…

Technical indicatorsTrend followingMulti-asset
MQL5 code base

The document describes a higher-timeframe variant of the Color Zero Lag Relative Vigor Index (RVI) indicator for MetaTrader 5. Its main feature is a timeframe input, allowing the indicator to use a selected chart period, with a four-hour period shown as the…

Technical indicatorsMulti-asset
SuperMind

This research note argues that Indian equities may offer strategic allocation value because of the country’s growth prospects and relatively low correlation with other major markets. It attributes the long-term economic outlook to capital investment, labor…

EquitiesMulti-assetPortfolio constructionChina markets
MQL5 code base

The document introduces Delta_MFI_HTF, a version of the Delta_MFI indicator with an input that lets the user choose the timeframe used for the indicator, with a four-hour period shown as the default. This allows the indicator to be configured to reference a…

Technical indicatorsMulti-asset
SuperMind

The study estimates a fund’s factor exposure from its net asset value returns and factor return series, aiming to provide more timely exposure tracking than holdings-based estimates from delayed periodic reports. It trains an LSTM on features describing the…

Machine learningFactor investingStatisticsMulti-asset
Awesome Systematic Trading

The strategy ranks a multi asset universe using two momentum horizons and a valuation measure. It assigns equal portions of the combined score to 12 month and one month momentum, and a larger portion to value. Stock valuation is represented by earnings…

Multi-assetMomentumFactor investingPortfolio construction
NautilusTrader

This project introduction explains an architecture for building multi-asset, multi-venue trading systems with a Rust engine and Python control layer. It uses an event-driven runtime for research, deterministic simulation, and live execution, allowing…

Multi-assetBacktestingExecutionMarket microstructure
MQL5 code base

This document describes a higher-timeframe variant of the GRFLeadingEdge indicator. A timeframe input lets the user choose the chart period from which the indicator’s data is drawn; the provided default is four-hour data. The main practical concept is to…

Technical indicatorsMulti-asset