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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

MQL5 code base

This document outlines an expert adviser that receives data from six indicators: CCI, fast and slow moving averages, MACD, Stochastic, and RSI. Each indicator is instantiated across six chart periods ranging from one minute through four hours, giving the EA…

Technical indicatorsMulti-assetMomentum
Amberdata research

This podcast recap contrasts the sharp equity selloff after unexpectedly severe U.S. tariff announcements with Bitcoin’s relative price and implied-volatility stability. It discusses possible explanations, including earlier crypto deleveraging, seller…

CryptoOptionsVolatilityRisk management
BigQuant

This short discussion defines quantitative investing as analyzing financial-market signals with mathematical models to seek investment returns, with automated order placement as a possible part of the process. It identifies reduced emotional influence, the…

Multi-assetMachine learningBacktestingRisk management
MQL5 code base

The document describes an indicator that displays the DeMarker oscillator across ten timeframes. For each timeframe, it uses the most recently completed bar and marks the oscillator’s state with a colored square: red when it is below the oversold threshold,…

Technical indicatorsMulti-asset
BigQuant

The article examines how global equities, bonds, commodities, and diversified long-short style premia behave across economic growth, inflation, real-rate, volatility, and liquidity regimes. It constructs standardized macro indicators from U.S. economic and…

Multi-assetPortfolio constructionFactor investingRisk management
MQL5 code base

The document describes a MetaTrader expert advisor that can trade signals from the Stochastic oscillator across as many as four configured financial symbols. Inputs let the user enable or disable each symbol, specify symbol names, set stop-loss and…

Technical indicatorsMulti-assetRisk management
BigQuant

The post describes adapting a daily macro timing tool so its computed signals are written to a table that strategies can query. The underlying process derives timing information from macroeconomic data using a series of calculations; the table is intended to…

Multi-assetEvent-drivenExecution
BigQuant

This article summarizes research on whether mutual fund managers adjust market exposure ahead of rises and declines. It describes Treynor–Mazuy and Henriksson–Merton regression tests, augmented with market, size, value, and momentum factors, and compares…

Multi-assetStatisticsFactor investingBacktesting
BigQuant

This historical overview traces the independent development of the Capital Asset Pricing Model by Jack Treynor, William Sharpe, John Lintner, and Jan Mossin. It connects their different starting points to portfolio selection and corporate finance, and…

EquitiesMulti-assetFactor investingPortfolio construction
FMZ forum

The document surveys systematic fund approaches and the markets where they are commonly used. It distinguishes trend following, countertrend trading, statistical arbitrage, convertible arbitrage, fixed income trades, commodity spreads, and global macro or…

Multi-assetTrend followingMean reversionArbitrage
MQL5 code base

This reference explains a 24-hour analog clock that displays Greenwich Mean Time alongside the scheduled open and close status of major exchanges across Asia-Pacific, the Middle East, Europe, and North America. It lists session hours in GMT and distinguishes…

Multi-assetEquitiesForex
SuperMind

The post proposes a U.S. ETF portfolio with fixed target weights: 30% in long-term Treasury exposure, 25% in gold, 20% in intermediate-term Treasury exposure, 15% in a triple-leveraged Nasdaq-100 fund, and 10% in a double-leveraged S&P 500 fund. It asks for…

Multi-assetPortfolio constructionPosition sizingUS markets
MQL5 code base

HLBands is a chart indicator for displaying price levels from a selected timeframe, including on a chart with a shorter timeframe. It can show the period's open together with either its high and low or its open and close. A period setting controls which…

Technical indicatorsMulti-asset
Lumibot

This documentation explains how to use Polygon as a historical price-data source for LumiBot backtests across stocks, options, forex, and cryptocurrencies. It describes supplying an API key, selecting a backtest date range, and running a simple example…

BacktestingMulti-assetEquitiesOptions
Amberdata research

The article compares the first 30 trading days of US spot Bitcoin and Ethereum ETFs, examining net flows, assets under management, issuer patterns, and asset prices. It reports substantial Bitcoin ETF inflows alongside redemptions from Grayscale, while…

CryptoMulti-assetSpot marketsEvent-driven
MQL5 code base

This document describes an indicator that displays the daily price change as a percentage for four selected financial instruments. Its purpose is to let a trader compare current daily moves across several instruments in one view. The source notes that the…

Multi-assetTechnical indicators
BigQuant

This document summarizes lifecycle funds, which adjust their asset allocation as a target date approaches. The described approach gradually reduces portfolio risk over time, with the aim of matching investment risk to the holder’s changing capacity for risk…

Multi-assetPortfolio constructionRisk managementChina markets
Amberdata research

This podcast summary describes SOMA.finance’s plans to connect traditional finance with blockchain markets through token issuance, a decentralized exchange, and yield products. It says the platform aims to support tokenized securities and digital assets,…

DeFiCryptoEquitiesCommodities
MQL5 code base

Unity derives comparable values for currencies and metals from the quoted exchange rates between them. In a simple example with a currency pair and gold, it treats each asset as having an underlying value, then adds a constraint that the sum of squared…

Multi-assetForexCommoditiesTechnical indicators
MQL5 code base

The MultiRVITrend_x10 indicator displays the Relative Vigor Index (RVI) state across ten timeframes. Each line represents one timeframe, with pink indicating an oscillator reading below its oversold threshold, blue indicating a reading above its overbought…

Technical indicatorsMulti-asset
Hummingbot docs

The document explains how a candle feed combines historical and live exchange data to maintain a rolling OHLCV window. Traders can configure the data source, trading pair, candle interval, and maximum number of stored records, then use the resulting data…

Multi-assetTechnical indicatorsExecution
BigQuant

This research summary links debt-cycle phases across government, financial, and household sectors to movements in bonds, equities, and commodities in China. It describes a transmission mechanism: rising leverage and easier credit may support bond prices,…

Multi-assetEquitiesCommoditiesFixed income
SuperMind

This report summary reviews Chinese private securities funds and market conditions around July 2018. It covers equity, bond, and commodity performance, the size and formation of the private-fund sector, and median fund returns overall and by strategy. It…

Multi-assetEquitiesFixed incomeFutures