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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 describes a MetaTrader 5 version of the Elliott Wave Oscillator that lets the user choose the indicator’s calculation timeframe through an input parameter. The example default is a four-hour period, allowing the indicator to be configured…

Technical indicatorsMulti-asset
BigQuant

This reading list summarizes three studies on portfolio construction. One develops a finite-horizon allocation framework using nominal assets, with closed-form optimal strategies and utility. It describes how hedging demand depends on the investor’s horizon,…

Multi-assetPortfolio constructionRisk managementFixed income
SuperMind

This article outlines how an early-stage hedge fund or CTA can prepare to seek institutional allocations. It describes three fundraising routes: the manager’s professional network, third-party marketers, and prime brokers’ capital introduction services. It…

Multi-assetRisk management
BigQuant

This report examines three connected areas of China’s technology sector: 5G communications, artificial intelligence, and semiconductor chips. It presents 5G as infrastructure for faster data transfer and connected devices, AI as an application area that…

EquitiesChina marketsMulti-asset
BigQuant

This project explores combining strategies associated with different market styles. The author says market styles can persist over a period, so a strategy that fits a clearly expressed style may adapt better to prevailing conditions. They changed a provided…

Multi-assetPortfolio constructionExecutionBacktesting
MQL5 code base

This indicator overlays levels from six moving averages, each calculated on a selectable timeframe and displayed in the active chart window. The example defaults span short intraday intervals through daily data, allowing a trader to compare price with…

Technical indicatorsMulti-asset
vn.py

The document introduces VeighNa, an open-source Python framework for quantitative trading, with particular attention to its vnpy.alpha module. That module organizes research into feature creation, model training, strategy development, and workflow…

Machine learningFactor investingBacktestingMulti-asset
MQL5 code base

The document introduces the VIX as an options-derived measure of expected volatility over roughly the next 30 days, then describes the idea of adapting a similar measure to markets beyond the major US stock indexes. It names possible applications such as…

VolatilityTechnical indicatorsMulti-asset
BigQuant

This research overview examines risk parity within the broader development of portfolio allocation methods. It describes several risk measures and risk-allocation principles, emphasizing Euler allocation to define each asset’s contribution to portfolio risk.…

Multi-assetPortfolio constructionRisk managementBacktesting
BigQuant

The article describes a framework that links macroeconomic and style factors with traditional asset-class allocation. It proceeds from selecting factors and estimating asset exposures to building factor-mimicking portfolios, forecasting their returns,…

Multi-assetFactor investingPortfolio constructionBacktesting
MQL5 code base

The document describes a multi-timeframe version of the ChannelsFIBO_v2 indicator. Its distinguishing setting is a source-data timeframe parameter: the indicator can display the situation associated with a chosen chart period even when the user’s active…

Technical indicatorsMulti-asset
MQL5 code base

CandlesticksBW_x10 is a MetaTrader 5 indicator that displays candlestick colors from ten configurable timeframes alongside the chart bar selected by the user. The listed defaults span hourly intervals through daily, weekly, and monthly periods. A signal-bar…

Technical indicatorsMulti-asset
FMZ forum

This historical essay introduces John Maynard Keynes’s views on probability and uncertainty, drawing on his work in probability theory and economics. It contrasts objective probabilities, which may exist independently of human beliefs, with the estimates…

StatisticsRisk managementMulti-asset
MQL5 code base

The document describes two scripts for changing the vertical scale across all open charts. One switches every chart to automatic scaling; the other applies fixed scaling. For fixed scaling, the user specifies a percentage of the current price, and the chart…

ExecutionTechnical indicatorsMulti-asset
SuperMind

The article surveys the development of quantitative trading through stories about Jules Regnault, Edward Thorp, and James Simons. It describes using historical price data and mathematical models to identify market patterns, Thorp’s probability-based…

StatisticsMachine learningMulti-assetRisk management
BigQuant

This Chinese-language conference excerpt introduces how artificial intelligence is being adopted by global asset managers. It frames technology as one response to falling margins per unit of managed assets, alongside efforts to grow assets under management.…

Machine learningFactor investingPortfolio constructionSentiment
MQL5 code base

The document explains the USDX as a measure of the U.S. dollar against a six-currency basket: the euro, yen, pound sterling, Canadian dollar, Swedish krona, and Swiss franc. It describes the index as a weighted geometric calculation and gives the basket…

ForexMulti-assetStatistics
Stratmill research code

This implementation explains how a bivariate Gaussian copula represents dependence between two variables after their observations have been converted to uniform pseudo-observations. It estimates the dependence parameter by mapping those observations through…

StatisticsMulti-assetRisk management
BigQuant

The article discusses data integration challenges when developing strategies across US equities and forex. It highlights differences in update speed, price conventions, and data formats, arguing that timestamp misalignment and latency can create gaps between…

Multi-assetUS marketsForexExecution
BigQuant

This report reviews China’s digital finance industry as user growth matures and competition shifts toward retaining and serving customers and merchants. It compares finance apps across user scale, growth, market concentration, and engagement, and describes…

Multi-assetChina marketsEquities
BigQuant

This article explains risk parity as an allocation approach that assigns comparable risk contributions across assets or risk factors, unlike capital-weighted mixes such as a conventional stock and bond portfolio. It lays out assumptions behind the method,…

Multi-assetPortfolio constructionRisk managementVolatility
MQL5 code base

The document introduces an MQL4 display tool for showing daily percentage changes across symbols in a Market Watch list. It describes three visual modes—scale, gradient, and heatmap—and says the example uses RGB colors with the standard string-to-color…

Technical indicatorsMulti-asset