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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

4,194 documents

BigQuant

This study summary describes a framework for assessing the business climate of China’s telecommunications sector by combining supply and demand conditions, listed-company fundamentals, and macroeconomic conditions. Supply and demand measures capture…

China marketsEquitiesStatisticsFactor investing
SuperMind

This Chinese stock-screening proposal combines price amplitude, a daily control-related measure, and afternoon large-order net inflows. Its revised version adds fundamental filters: price-to-book should fall in the market’s lowest quartile, while dividend…

EquitiesChina marketsMarket microstructureFactor investing
MQL5 code base

This post outlines a Chinese equity screen based on capital strength and company scale. It proposes ranking stocks by a capital-flow measure and selecting firms above a stated size threshold, using 2021 data. The suggested measure relates net inflow to…

China marketsEquitiesFactor investingRisk management
BigQuant

This weekly Chinese market report reviews rising equity indices, fund positioning, sector valuations, futures, and quantitative factor behavior. It assesses the alpha environment using cross-sectional volatility and time-series volatility in the CSI 300 and…

EquitiesChina marketsFactor investingVolatility
BigQuant

This report introduces environmental, social, and governance investing and outlines six approaches, including exclusions, positive screening, ESG integration, thematic investing, and shareholder engagement. It compares MSCI and Thomson Reuters rating methods…

EquitiesFactor investingPortfolio constructionChina markets
SuperMind

This A-share stock screen combines a turnover range of 3% to 12%, market capitalization below 10 billion yuan, and positive profitability indicators with signs of institutional accumulation. The proposed selection logic also examines buying and selling…

EquitiesChina marketsFactor investingRisk management
SuperMind

This post outlines a Chinese equity selection idea that ranks stocks by capital strength and filters for a 2021 date reference and a 2019 dividend payout ratio above 25%. It interprets stronger capital inflows as a possible sign of market interest and a high…

EquitiesChina marketsFactor investingRisk management
BigQuant

This weekly report surveys Chinese equity-selection factors built from intraday trading behavior. Examples include return skewness, downside-volatility share, buying interest and large-order net buying after the open, late-session trading share, average…

EquitiesChina marketsHigh-frequency tradingFactor investing
BigQuant

This article explains how to simplify factor research by converting many distinct raw values into a smaller number of bins. Its example is a daily return factor across thousands of stocks, where nearby values may be treated as equivalent for exploratory…

EquitiesChina marketsStatisticsFactor investing
SuperMind

This note presents a China A-share screen for companies associated with beverage and alcohol activity. It combines turnover between 3% and 12% with a positive institutional-holding or institutional-activity measure. Example formula and Python snippets show…

EquitiesChina marketsFactor investingRisk management
SuperMind

This Chinese-language post outlines an A-share screening idea that combines high capital flow strength, a stock average price above its five-day moving average, and a 2019 dividend payout ratio above 25%. It explains these filters as proxies for investor…

EquitiesChina marketsMomentumTechnical indicators
BigQuant

This introductory tutorial explains machine learning concepts before focusing on linear regression. It defines features and labels, distinguishes supervised from unsupervised learning, and outlines classification, regression, clustering, and parameterized…

Machine learningStatisticsFactor investingBacktesting
BigQuant

This research summary examines whether analyst earnings forecast errors can help select stocks. It reports that realized forecast errors are strongly negatively associated with subsequent returns: stocks with smaller errors performed better in the described…

EquitiesFactor investingStatistics
SuperMind

The document describes a Chinese stock selection screen combining turnover, parent-company net profit growth, market capitalization, and a non-loss condition. It selects stocks with turnover between 3% and 12%, year-over-year net profit growth above 20% and…

EquitiesChina marketsFactor investingStatistics
BigQuant

This weekly report presents diagnostics for the ten highest-ranked anonymous factors in a Chinese quantitative research competition. It describes average style exposures estimated with daily multivariate regressions and average industry-level Rank ICs, the…

EquitiesChina marketsFactor investingPortfolio construction
BigQuant

This update log describes changes to a Chinese equity screening expression. The initial filters included a trailing price-to-earnings ceiling and a minimum listing age. The author then replaces a fixed floating-market-capitalization threshold with a…

EquitiesFactor investingBacktestingChina markets
SuperMind

The document presents a Chinese equity screen for robot-themed stocks with circulating market capitalization below 10 billion yuan, a daily high-to-low range above one percent, and codes beginning with 60. It then expands the proposed screen with valuation…

EquitiesTechnical indicatorsRisk managementFactor investing
BigQuant

This literature digest covers two topics. The first evaluates asset-pricing factor models using the maximum squared Sharpe ratio. It describes comparisons among nested models, from CAPM through three-, five-, and six-factor specifications, and non-nested…

Factor investingPortfolio constructionRisk managementEquities
SuperMind

This analysis examines whether unusually strong net fund flows coincide with investors switching between small-cap and large-cap equity styles. It defines net inflow by subtracting active selling from active buying across large, medium, and extra-large…

EquitiesFactor investingStatisticsChina markets
SuperMind

This post outlines an equity screening rule using a daily high-low range threshold, sustained return on equity, and a bounded turnover ratio. Its rationale is to combine a minimum level of price movement with evidence of profitability and a middle range of…

EquitiesFactor investingTechnical indicatorsBacktesting
BigQuant

This report summarizes tests of equity factors across industries, covering cash flow, valuation, company size, momentum, liquidity, volatility, beta, and alpha. It compares factor performance using portfolio net value and ranking differences, and discusses…

EquitiesFactor investingStatistics
BigQuant

This review describes a model in which equity factors move through normal conditions, periods of value weakness, and subsequent reversals. The value drawdown may reflect a rally in growth stocks or a collapse in value stocks; reversals then differ according…

Factor investingEquitiesMomentumStatistics
SuperMind

This Chinese equity screening idea ranks stocks by a capital-strength measure based on indicators such as turnover and trading value, then filters for at least two limit-up sessions in a 500-day window and a dividend payout ratio above 25% for 2019. The…

China marketsEquitiesMomentumTechnical indicators
BigQuant

This research summary explains a model in which product-market competition and expected asset returns influence one another. Competition can reduce profit margins, increasing firms’ operating leverage and exposure to systematic shocks. Threats from new…

EquitiesStatisticsFactor investingUS markets