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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
WonderTrader
14 documents
Alphalens
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

22,592 documents

SuperMind

This Chinese-language note presents a stock screen requiring turnover between 3% and 12%, a three-day decline, and a circulating share count no greater than 5.5 billion shares. It describes the combination as targeting lower-priced or consolidating names…

China marketsEquitiesTechnical indicatorsMean reversion
SuperMind

This Chinese-language note proposes screening stocks with turnover between 3% and 12%, a positive increase in the K value of the KDJ indicator, and no limit-up close on the previous day. It frames the prior-day exclusion as a way to avoid stocks whose recent…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese stock-screening idea selects companies associated with the metaverse theme, requires a positive institutional-flow measure, and filters for a “today control” indicator above 21. The article presents the combination as a way to identify stocks…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This document describes a stock screen requiring turnover between 3% and 12%, a stock code beginning with 60, and a circulating share count no greater than 5.5 billion shares. It presents the turnover band as a liquidity filter and the float limit as a way…

EquitiesChina marketsMarket microstructureRisk management
SuperMind

This document outlines an A-share selection rule combining RSI below 65, an external-to-internal trading volume ratio above 1.3, and association with the metaverse theme. The intended logic is to use RSI as a technical condition, the volume ratio as a…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This document describes a short-term A-share screen using three conditions: daily amplitude above 1, the 9:25 gain below 6%, and today’s position increase ratio above 5%. It frames amplitude as a measure of volatility, the early price change as a short-term…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

The document describes a stock screen combining three conditions: daily price amplitude above 1, the average price above its five-day moving average, and return on equity above 15% for five consecutive years. It presents this as a blend of a short-term…

EquitiesTechnical indicatorsFactor investingChina markets
BigQuant

This post proposes a stock-selection screen using daily price amplitude, a rounded price shape, MACD above its zero line, and volume above its recent average. The stated rationale is that amplitude and the rounded pattern identify active stocks, while…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

The article presents four warning signs that a rising equity market may be approaching a peak: an index making new highs while volume contracts, momentum indicators failing to confirm price highs, heavy volume accompanying a falling or sharply rejected…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post describes a Chinese equity screen that combines daily price amplitude, persistent large-order net volume, and membership in a beverage and alcohol industry group. Its stated intent is to find stocks with active trading and buying pressure for…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This stock selection rule filters for turnover between 3% and 12%, requires the product of the day’s percentage price change and a large-order net-flow measure to be positive, and adds positive institutional net buying as a further condition. The…

EquitiesMomentumSentimentStatistics
SuperMind

The document presents a Chinese stock screening rule using price amplitude above 1, a three-consecutive-limit-up condition on the prior day, and MACD above its zero line. It frames amplitude and the recent limit-up streak as signs of active market interest,…

China marketsEquitiesMomentumTechnical indicators
SuperMind

The document describes a Chinese stock screening rule combining three conditions: prior-day price amplitude above 1, appearance on the previous day’s 龙虎榜 (a public list of notable trading activity), and a circulating share count no greater than 5.5 billion…

China marketsEquitiesVolatilityTechnical indicators
SuperMind

The post proposes a Chinese equity screening idea that combines a capital-activity measure, Bollinger Band position, and a high dividend ratio. It describes selecting stocks whose closing prices lie above the middle band and below the upper band, alongside a…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This document provides a compact Chinese trading-platform formula combining several price and market breadth calculations. It derives a 13-period moving average, a 75-period high-low range, and smoothed measures of where closing and opening prices sit within…

Technical indicatorsEquitiesChina markets
BigQuant

The article compares three consumer activity measures for publicly traded companies: estimated in-store visits, traffic to company and related websites, and interest in brands measured through search and social activity. It forms growth proxies by comparing…

EquitiesFactor investingSentimentBacktesting
SuperMind

The document proposes a technical stock screen requiring a price range measure above a threshold, turnover between two bounds, and MACD above zero. It presents these conditions as a way to find active stocks with short-term trend or momentum, and includes…

China marketsEquitiesMomentumTechnical indicators
SuperMind

The document proposes screening Chinese equities for companies in the metaverse sector, positive institutional activity, and a circular arc chart pattern. It argues that sector growth, institutional buying, and a possible price reversal could make these…

China marketsEquitiesTechnical indicatorsRisk management
SuperMind

This post proposes an equity screening rule that combines three conditions: daily high-low range above a threshold, a newly formed KDJ crossover, and a price-change measure multiplied by large-order net volume exceeding a stated cutoff. It gives example…

EquitiesTechnical indicatorsMomentumVolatility
SuperMind

This note describes a Chinese A-share screen combining membership in a metaverse category, a turnover-related filter, and an arc-shaped price indicator. Its formula reference expresses the indicator as a 60-period absolute moving average of log price…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document describes a stock screen combining price amplitude, a weekly moving average crossover, and a fixed share price. It presents the idea as a way to find shares with recent price movement and an upward trend: amplitude is calculated from the daily…

EquitiesTechnical indicatorsTrend followingChina markets
BigQuant

The research note describes factor-mimicking portfolios (FMPs) as an alternative representation of alpha factors, with conversion between the two under a given stock covariance structure. It argues that linearly combining alpha signals corresponds to…

EquitiesFactor investingPortfolio constructionStatistics
SuperMind

This stock-selection proposal screens mainland Chinese main-board equities for a turnover rate between 3% and 12%, a robotics concept classification, free-float market capitalization below the stated threshold, and positive institutional-investor activity.…

EquitiesChina marketsFactor investingSentiment