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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 research summary outlines a strategic allocation model that maps Chinese equities and bonds to underlying macroeconomic risks. It uses principal component analysis to define five factors: economic growth, interest rates, credit, term spread, and…

Multi-assetEquitiesFixed incomeFactor investing
BigQuant

The document outlines the role of an integrated quantitative trading platform. It describes a workflow that brings market data analysis, strategy development, historical backtesting, risk assessment, and automated execution together. It also notes that…

BacktestingExecutionRisk managementMulti-asset
BigQuant

This report surveys asset-allocation approaches grouped by their inputs: mean-variance models, risk-allocation models, and subjective methods. It expresses several optimization-based risk models, including mean-variance, risk parity, and maximum…

Multi-assetPortfolio constructionRisk managementBacktesting
BigQuant

The document introduces quantitative investing as using computer technology to analyze investment data, make trading decisions, and execute trades. It outlines two practical advantages: computers can process large amounts of information quickly, and…

Multi-assetStatisticsRisk management
BigQuant

This Chinese-language report reviews the development of China’s quantitative fund industry across three periods: before 2010, 2010–2015, and 2016 onward. It outlines a strategy landscape spanning market-neutral equity, index enhancement, quantitative stock…

China marketsMulti-assetTrend followingArbitrage
MQL5 code base

This indicator summarizes current trends across ten timeframes using the colors produced by a Wajdyss Ichimoku candle indicator. Each line represents a separate indicator for one timeframe, and its color reflects the corresponding candle color. Colored dots…

Technical indicatorsTrend followingMulti-asset
Awesome Systematic Trading

This algorithm allocates among five ETFs representing US stocks, foreign stocks, bonds, real estate, and commodities. It ranks them by trailing 12-month rate of change, selects the three with the strongest momentum, and assigns them equal portfolio weights.…

Multi-assetMomentumPortfolio constructionBacktesting
MQL5 code base

The document describes a higher-timeframe option for the XFisher_org_v1_Candle indicator. A timeframe input lets the user select the chart period from which the indicator operates; the provided default is a four-hour period. The feature allows the candle…

Technical indicatorsMulti-asset
vn.py community

The forum exchange answers where VeighNa Elite stores downloaded market data and how to change that location. A reply points users to the Elite database configuration and says to set its database path to the folder where the database should reside. This…

Multi-asset
SuperMind

The report explains the Black-Litterman model as a portfolio construction approach that starts from market-equilibrium expected returns and blends them with an investor’s views. It describes the prior return estimates as grounded in CAPM and mean-variance…

Portfolio constructionStatisticsMulti-asset
BigQuant

The article describes an architecture that combines iTick market feeds, other economic and alternative data, and DeepSeek-R1 to support quantitative research workflows. It proposes attention-based data fusion, automated strategy variant generation,…

Machine learningStatisticsRisk managementMulti-asset
BigQuant

The document summarizes U.S. retirement accounts, especially 401(k) plans and IRAs, as flexible account structures that offer a broad range of investments. It reports that mutual funds represent about half of assets and describes equity funds as the largest…

Multi-assetPortfolio constructionRisk managementUS markets
SuperMind

The document explains the traditional 60/40 allocation: 60% in equities and 40% in bonds, periodically rebalanced to restore those weights. It presents the portfolio as a simple, low-cost benchmark that can use domestic or global assets. Its rationale is…

Multi-assetPortfolio constructionRisk managementBacktesting
MQL5 code base

This brief note describes ExVolV2_HTF, a version of the ExVolV2 indicator with a user-selectable chart timeframe. The timeframe is exposed as an input parameter and defaults to a four-hour period, allowing the indicator to reference a chosen interval. The…

Technical indicatorsMulti-asset
BigQuant

This report develops indicators from the gap between actual Chinese economic releases and market forecasts. It groups indicators into growth, liquidity, and inflation categories, assigns expected effects on domestic equities, bonds, and commodities, and…

Multi-assetEquitiesFixed incomeCommodities
BigQuant

This document describes a portfolio allocation overlay that uses rolling economic drawdown as a control target. It adjusts allocation weights using drawdown measured over a moving window while accounting for the time value of money, aiming to reflect…

Multi-assetRisk managementPortfolio constructionBacktesting
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
MQL5 code base

The MultiBullsBearsEyesTrend indicator presents the BullsBearsEyes oscillator state across ten timeframes at once. Each line represents one timeframe’s indicator reading, giving the user a compact way to compare whether oscillator conditions are aligned or…

Technical indicatorsMulti-asset
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 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
MQL5 code base

The MultiStochasticTrend_x10 indicator displays the Stochastic oscillator state across ten separate timeframes. Each line represents one timeframe’s oscillator, giving a compact view of whether readings are in oversold, overbought, or intermediate territory.…

Technical indicatorsMomentumMulti-asset
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 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