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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

vn.py

This operational guide explains how to run multi-contract portfolio strategies through VeighNa Elite Trader’s PortfolioStrategy module. It covers loading strategy classes, creating instances with symbols, gateways, and typed parameters, then initializing…

Multi-assetExecutionRisk management
Cryptohopper blog

The article introduces algorithmic trading as a way to automate rule based strategies and reduce some burdens of manual trading. It describes bots as tools for applying predefined entry and exit conditions across markets, including trend following,…

Multi-assetBacktestingExecutionTechnical indicators
BigQuant

This paper summary challenges common ways of measuring whether assets diversify one another during poor market conditions. It argues that estimating downside correlation only on observations when both assets perform poorly omits cases where one asset gains…

Portfolio constructionStatisticsMulti-assetRisk management
MQL5 code base

The USDX indicator estimates a dollar index from six exchange rates: EUR/USD, USD/JPY, GBP/USD, USD/CAD, USD/SEK, and USD/CHF. It applies fixed exponents to each rate and multiplies the result by a constant, producing a composite value intended to track the…

ForexTechnical indicatorsMulti-asset
BigQuant

This overview surveys risks that can cause portfolio outcomes to diverge from expectations. It covers market exposures such as equity prices, interest rates, currencies, and commodities; credit and liquidity risks; concentration and operational risks;…

Portfolio constructionRisk managementMulti-asset
MQL5 code base

The document defines a Turkish lira basket index as the equally weighted average of the USDTRY and EURTRY exchange rates. It presents the index as a line in a separate chart window and describes two optional, customizable moving averages applied to a…

ForexTechnical indicatorsMulti-asset
BigQuant

The research summary defines a trend turning point as a period when short-window and long-window time-series momentum signals point in opposite directions. It reports that more frequent turning points are associated with weaker risk-adjusted returns for…

Multi-assetTrend followingMomentumStatistics
BigQuant

The document introduces multi-task learning (MTL), in which one model addresses several related tasks and uses shared patterns and task-specific differences. It suggests that this can improve learning efficiency and predictive accuracy compared with training…

Machine learningStatisticsMulti-asset
Awesome Systematic Trading

This strategy rotates between an equity fund and a government bond fund by comparing their returns over the prior quarter. At each quarterly decision point, it invests fully in whichever asset had the higher return during the ranking period, then holds that…

Multi-assetMomentumPortfolio construction
FMZ forum

The article explains how liquid factor portfolios can approximate some hedge fund returns, potentially offering an accessible, lower cost substitute for investments with limited liquidity, high fees, or high entry barriers. It reviews linear multifactor…

Multi-assetFactor investingPortfolio constructionRisk management
Zipline

This release note describes changes to Zipline 1.4.0, a quantitative research and backtesting platform. It removes implicit downloads of treasury and benchmark data, replacing benchmark retrieval with user-supplied files or instruments, or an option to run…

EquitiesMulti-assetBacktestingStatistics
MQL5 code base

This document describes an indicator that displays Aroon Oscillator status across ten time frames. It uses the oscillator values from the most recently closed bars and marks each time frame with a colored square: pale pink when the oscillator is below its…

Technical indicatorsTrend followingMulti-asset
FMZ forum

Using simple fruit-and-money stories, the essay offers an informal account of how land monetization, initial public offerings, asset repricing, and credit creation may relate to China’s property and equity markets. It distinguishes newly monetized land and…

China marketsEquitiesMulti-assetStatistics
MQL5 code base

Greatest Swing Value (GSV) compares recent upward and downward price movement measured from each session’s open. The indicator concept sums or averages moves from the open to the high and from the open to the low over recent periods, then flags a swing from…

Technical indicatorsStatisticsMulti-asset
MQL5 code base

This document describes a chart indicator that plots two ColorJFatl lines from different timeframes and fills the space between them with a cloud colored to represent market trend direction. The example defaults to hourly and four-hour timeframes. Inputs…

Technical indicatorsTrend followingMulti-asset
BigQuant

This reading note summarizes the KKT business-cycle index, a data-driven measure proposed in a referenced academic paper. The index uses Mahalanobis distance and statistical likelihood to compare current economic conditions with a robust-growth state,…

Multi-assetStatisticsRisk management
Amberdata research

The document surveys crypto regulation developments reported across several regions and institutions. It describes the Financial Stability Board’s planned recommendations, the European Union’s MiCA framework for crypto assets, stablecoins, wallets and…

CryptoMulti-asset
Stratmill research code

This document describes a bivariate Frank copula implementation for modeling dependence between two uniform variables. It provides methods to sample paired observations, calculate the copula density and cumulative distribution, and evaluate a conditional…

StatisticsMulti-asset
BigQuant

This article explains the All Weather approach as a way to build a portfolio without relying on precise economic-cycle forecasts. It frames the macro environment along growth and inflation dimensions, then describes matching stocks, bonds, commodities, gold,…

Multi-assetPortfolio constructionRisk managementBacktesting
BigQuant

This report examines domestic Chinese fund products that provide exposure to Hong Kong equities and their role in broader asset allocation. It reviews access routes and fund types, including actively managed products and index funds, then compares the…

China marketsEquitiesMulti-assetPortfolio construction
BigQuant

This document outlines the development of US investment advisory services across four historical phases and describes the industry’s current structure. It proposes examining market scale, concentration, client types, service models, and fee arrangements, but…

Multi-asset
MQL5 code base

This document describes a version of a period-candle indicator with a user-selectable timeframe input. The example configuration sets the chart period to four hours by default, while the input permits selection of another timeframe. The purpose is to make…

Technical indicatorsMulti-asset
SuperMind

This indicator presents the direction of a color zero-lag JJRSX oscillator across ten timeframes. Each timeframe is represented by a square: green denotes a rising oscillator, pink denotes a falling oscillator, and gray denotes other conditions. The…

Technical indicatorsMomentumMulti-asset