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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

5,922 documents

OctoBot

The guide explains how to operate several automated trading strategies or crypto baskets at once through OctoBot Cloud. It presents diversification across strategy types, asset baskets, and exchanges as a way to spread exposure and reduce dependence on one…

CryptoPortfolio constructionRisk managementExecution
BigQuant

The document proposes separating sector allocation from industry selection because broad sector shifts are linked more closely to economic conditions, while industry performance depends on factors such as earnings, valuation, and capital flows. It argues…

China marketsEquitiesFactor investingPortfolio construction
BigQuant

The document summarizes research using public Northbound investor holdings and trading-flow data to build 12 factors for Chinese equities. It reports testing those factors from December 2016 through December 2019 across Northbound-held stocks, the CSI 800,…

EquitiesChina marketsFactor investingStatistics
BigQuant

This research summary argues that bond fund rankings based on a single historical performance measure can be distorted by differences in market style, objectives, holdings, manager skill, fund size, and risk controls. Its proposed approach narrows the…

Fixed incomeStatisticsFactor investingPortfolio construction
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

This study examines whether U.S. equity mutual fund managers adjust market exposure when broad stock mispricing changes. It builds a market mispricing measure from a financing-based long-short factor, then orthogonalizes it against macroeconomic variables. A…

EquitiesFactor investingStatisticsBacktesting
SuperMind

This brief post introduces a Python implementation of Markowitz portfolio theory, a framework for constructing portfolios by balancing expected return against risk. It says the article works through the theory and implementation, but the supplied document…

Portfolio constructionStatisticsBacktesting
BigQuant

This brief Chinese-language post describes a stock-selection submission that adds price-to-sales and dividend-yield filters, then increases the weight assigned to dividend yield. The author says the results improved, but provides no performance figures, test…

EquitiesFactor investingPortfolio construction
BigQuant

The document outlines a China equity industry-rotation strategy using the Shenwan Level 1 industry classification. It ranks industries with a composite momentum measure formed from recent 5-day, 20-day, and 60-day returns, weighted 0.4, 0.3, and 0.3. Each…

China marketsEquitiesMomentumFactor investing
BigQuant

This research report explains how equity risk factors and factor models can help identify portfolio risks, estimate return covariances, and analyze portfolio performance. It distinguishes risk factors from alpha factors and discusses factor returns,…

China marketsEquitiesRisk managementPortfolio construction
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
BigQuant

This strategy ranks constituents of the CSI Dividend Index using a combined score based on dividend yield and return on equity (ROE). Dividend yield represents distributions relative to share price, while ROE is used as a measure of how effectively a company…

EquitiesChina marketsFactor investingPortfolio construction
BigQuant

This report studies whether rotating among industry and thematic exchange-traded funds can support an absolute-return portfolio. It selects 14 industries with matching funds from a broader set of Chinese industry groups, then compares a rotation portfolio…

EquitiesChina marketsMomentumPortfolio construction
SuperMind

The document describes a weekly rotation strategy based on relative performance in two Chinese equity indexes: the CSI 300 and the CSI 500. It calculates each index’s return over a 20-trading-day lookback and compares the two signals. The strategy invests…

China marketsEquitiesMomentumPortfolio construction
BigQuant

This report outlines the first step in a multi-factor model research process: selecting which factors to combine. It proposes using a hedging perspective and benchmark factor exposures as part of the screening criteria, with the stated aim of reducing the…

Factor investingPortfolio constructionEquitiesStatistics
Lumibot

This code outlines a daily trading workflow in which separate AI agents research a universe of leveraged exchange-traded funds, argue bullish and bearish cases, and pass their summaries to a trading judge. The universe includes leveraged long and inverse…

EquitiesMachine learningMomentumRisk management
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
BigQuant

This report summary presents an investment case for Chinese technology equities and the China Securities Technology 50 Strategy Index. It argues that sharp market declines may offer opportunities to add exposure, based on a claimed review of 13 major…

EquitiesChina marketsFactor investingPortfolio construction
BigQuant

This study examines whether active U.S. equity mutual funds that increase portfolio concentration subsequently achieve better risk-adjusted performance. Its rationale is a tradeoff: concentrating holdings can give greater weight to the manager’s strongest…

EquitiesPortfolio constructionRisk managementStatistics
BigQuant

This article offers a discretionary framework for narrowing a watchlist around active Chinese market themes. It distinguishes an initiating leader, a later catch-up leader, a larger-cap trend anchor, and passive follower stocks. The suggested cues include…

EquitiesChina marketsMomentumTrend following
BigQuant

This BigQuant forum post asks why account positions do not appear to update immediately after orders in a daily backtest, and how to schedule trades at specific intraday times. The example strategy selects up to ten Chinese stocks using listing age,…

EquitiesChina marketsBacktestingExecution
FMZ forum

Buy and hold is a passive investment approach in which an investor selects securities and keeps them through short-term market fluctuations. The document explains that owning common stock can provide voting rights and participation in company profits, while…

EquitiesPortfolio constructionRisk management
BigQuant

This report evaluates an industry-allocation approach that favors high return on equity and low price-to-book ratios. It reports weak and unstable long-run results from tests using available ROE data, and says even an optimistic assumption about knowing the…

China marketsEquitiesFactor investingPortfolio construction
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