Skip to content

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

2,013 documents

SuperMind

This report summary reviews Markowitz portfolio theory and its mean-variance efficient frontier, then questions the normal-return assumption underlying variance as a complete measure of risk. Since observed asset returns can be sharply peaked and…

Multi-assetPortfolio constructionStatisticsRisk management
BigQuant

This overview describes Chan theory as a chart-analysis framework built from nested price structures. It moves from processed candlestick fractals to strokes, segments, and overlapping consolidation zones, then classifies larger moves as advances, declines,…

Technical indicatorsTrend followingMomentumMulti-asset
MQL5 code base

This brief note describes a version of the MFIWithFlat indicator that lets the user choose its calculation timeframe through an input parameter. The example default is a four-hour period, allowing the indicator to use a selected higher timeframe while…

Technical indicatorsMulti-asset
BigQuant

The document summarizes a research paper that uses a neural network to produce portfolio weights for exchange-traded funds. Instead of forecasting expected returns and then feeding those forecasts into a conventional optimizer, the approach directly tunes…

Multi-assetPortfolio constructionMachine learningRisk management
BigQuant

This Chinese-language seminar summary frames AI adoption as a response to falling asset-management margins despite growing assets under management. It sketches a progression from adjusting active portfolios using factor analysis, to building long-short…

Multi-assetFactor investingMomentumMachine learning
BigQuant

This report proposes diversifying portfolios across market, style, and strategy risk premia rather than allocating only among broad asset classes. It uses representative global equity, bond, and commodity indices to construct long-only strategies reflecting…

Multi-assetFactor investingMomentumVolatility
BigQuant

This review summarizes historical evidence on how assets and active strategies performed during periods of high and rising inflation in the United States, United Kingdom, and Japan. It defines inflation episodes using accelerating year-over-year inflation…

Multi-assetCommoditiesTrend followingMomentum
SuperMind

This review summarizes historical evidence on how assets and active strategies performed during periods of high and rising inflation in the United States, United Kingdom, and Japan. It defines inflation episodes using accelerating year-over-year inflation…

Multi-assetCommoditiesTrend followingMomentum
MQL5 code base

This indicator identifies three-candle Fair Value Gaps (FVGs) across four configurable timeframes and displays unfilled zones on the active chart. A bullish gap occurs when the first candle’s high is below the third candle’s low; a bearish gap occurs when…

Technical indicatorsMulti-assetMarket microstructure
BigQuant

This document is available here only as a Chinese-language title and outline, with the body represented by a link to a PDF. The outline describes a quantitative approach to asset allocation that separates strategic allocation from tactical allocation. It…

Multi-assetPortfolio constructionRisk managementStatistics
Kraken Learn

Synthetic crypto assets are blockchain tokens designed to provide indirect exposure to real-world assets. The document frames them as crypto derivatives: like futures or options, they track the price of an underlying asset such as a stock, fiat currency, or…

CryptoDerivatives pricingMulti-asset
quant-trading

This document is a monthly price-level table for Bitcoin alongside the S&P 500, gold, long-term U.S. Treasuries, and emerging-market equities. It runs from July 2010 through August 2021 and provides dated observations for each series, with the final…

CryptoMulti-assetStatistics
BigQuant

This review examines target-risk funds, which aim to maintain a relatively stable portfolio risk level through fixed style categories such as aggressive, moderate, and conservative. It describes their role in US retirement accounts, their fund-of-funds fee…

Multi-assetPortfolio constructionRisk managementStatistics
Cryptohopper blog

The article explains how tokenization represents claims or economic rights linked to tangible and intangible assets as blockchain-based tokens. It describes fractional ownership and the use of smart contracts to automate functions such as settlement and…

CryptoMulti-assetFixed incomeCommodities
BigQuant

This report outlines a strategic and tactical framework for multi-asset allocation. Strategic allocation favors assets with relative strength over a medium-term horizon, while tactical timing adjusts asset weights according to changing conditions. The…

Multi-assetFactor investingPortfolio constructionRisk management
BigQuant

The document summarizes research on whether hedge funds that perform well continue to do so, depending on overall market conditions. It describes two performance measures based on returns across hedge fund industries: RET_DOWN for weaker markets and RET_UP…

Multi-assetStatisticsRisk management
FMZ forum

The document presents a flow-based framework for macro trading, arguing that traders should study how liquidity and credit move through central banks, commercial banks, companies, and shadow banks. It explains how bank lending creates deposits, why…

Multi-assetFixed incomeForexMarket microstructure
ProRealCode

The document presents a relative strength ranking indicator for comparing stocks, ETFs, or futures within a chosen universe. It combines short- and long-term price movement relative to moving averages, averages those components, and divides by a 10-day…

Multi-assetMomentumTechnical indicatorsVolatility
vn.py community

A short forum exchange addresses an error that occurs when a portfolio backtest combines instruments, even though testing each instrument individually works. The reply attributes the problem to a data update that lacks a bar for the JD9999 symbol and…

BacktestingPortfolio constructionMulti-asset
Lumibot

This document is a QuantStats performance tearsheet comparing a strategy labeled Ray Dalio Luna with SPY over the stated January 4–15, 2026 interval. It reports return and risk statistics, including a 1% total return for both, a 63.01% annualized return for…

BacktestingStatisticsRisk managementMulti-asset
MQL5 code base

MultiSilverTrend_x10 is an indicator that displays SilverTrend trend information from ten separate timeframes. Each line represents an indicator for one timeframe, with line and point colors tied to the original indicator’s candlestick colors. A colored…

Technical indicatorsTrend followingMulti-asset
MQL5 code base

This indicator description explains how a T3 trend tool can be displayed as an oscillator using floating levels. It can use an extended set of price inputs and identify changes through three kinds of events: crossing outer levels, crossing the middle or zero…

Technical indicatorsTrend followingMulti-asset
ProRealCode

This indicator overlays candles from a chosen higher timeframe onto a chart using a lower default timeframe. It aggregates lower-timeframe bars into higher-timeframe open, high, low, and close values, detecting when a new higher-timeframe bar begins. A shift…

Technical indicatorsMulti-asset
BigQuant

This document summarizes a research note on building a systematic framework for allocating among asset classes, with a focus on domestic equities and bonds. It says the research team had worked on asset allocation for several years and began consolidating…

Multi-assetEquitiesFixed incomePortfolio construction