Skip to content

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 stock-selection note describes a screen for companies classified in the metaverse sector. It keeps stocks with a circulating market value above 10 billion yuan and a circulating share count no greater than 5.5 billion. The stated rationale is to…

EquitiesChina marketsFactor investing
Awesome Systematic Trading

This strategy takes a long position in an S&P 500 proxy on the fifteenth calendar day of each month, shifting the date earlier when it falls on a weekend. The position is intended to last through that trading day, with liquidation on the following scheduled…

EquitiesUS marketsEvent-drivenBacktesting
SuperMind

This stock-selection idea filters shares by turnover, a newly formed KDJ golden cross, and a positive recent return. The article describes the turnover band as three to twelve percent and adds a condition that price be at or above its 20-day moving average…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock screen combines a 14-period RSI below 65 with a daily gain above 1%, main-board listing status, and a prior-day actual turnover rate between 3% and 28%. The article describes turnover as a proxy for investor attention and trading activity,…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-screening example selects shares with MACD above zero, trading volume above 10,000 lots, and an opening price above the prior close. The stated rationale is to find actively traded stocks showing positive momentum. The article includes a…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese stock screen selects shares with an amplitude above 1, a dividend payout ratio above 25% in 2019, and positive weekly candlesticks in consecutive weeks. The article interprets the price-range condition as a volatility filter, the historical…

EquitiesVolatilityTechnical indicatorsFactor investing
SuperMind

This Chinese A-share screen combines turnover between 3% and 12%, a reversal or engulfing-style price pattern, and at least one daily gain of 10% or more during the prior 25 trading sessions. The accompanying indicator example adds stochastic K above D and…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This Chinese-language post presents an equity screen combining three conditions: a positive price-to-earnings ratio, a 14-period RSI below 65, and a 30-day moving average that is rising. Its example implementation also requires the latest close to be above…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document describes a Chinese stock selection screen that filters for a turnover rate between 3% and 12% and a listing year of 2021, then ranks candidates by the current day’s auction amount. It selects up to five names from the top of that ranking. The…

EquitiesChina marketsSentiment
SuperMind

This note presents a Chinese equity selection rule that combines three conditions: daily amplitude above 1, at least one limit-up session within the prior 25 days, and circulating market capitalization between 5 billion and 10 billion yuan. It includes…

EquitiesChina marketsVolatilityMomentum
SuperMind

This note describes a simple Chinese equity screen based on price movement and a short-term moving average. It selects stocks with amplitude above 1, a price below 20, and the stock’s average price above its five-day moving average. The article also provides…

EquitiesTechnical indicatorsVolatilityTrend following
SuperMind

The document describes a simple Chinese A-share stock screen combining recent position-increase share with circulating market capitalization. It selects stocks whose reported increase for the day exceeds 5% and whose circulating value falls between 5 billion…

EquitiesChina marketsStatistics
SuperMind

This note describes a historical screen for main-board stocks using three criteria: daily high-to-low range greater than one percent, a date in 2021, and a daily gain greater than one percent. Its stated purpose is to place qualifying shares in a candidate…

China marketsEquitiesVolatilityMomentum
SuperMind

This Chinese-language note outlines an equity screen for stocks in the metaverse industry. It combines a newly formed KDJ bullish crossover with conditions intended to identify an emerging uptrend: price above the 60-day and 120-day moving averages, a rising…

China marketsEquitiesTechnical indicatorsBreakout
SuperMind

This stock-selection idea screens within the metaverse theme for shares that had a limit-up event during the prior 25 days and whose external-to-internal trading volume ratio exceeds 1.3. It proposes running the screen before 10 a.m. and selecting stocks for…

EquitiesMomentumMarket microstructureTechnical indicators
BigQuant

This summary reports tests of 19 factors derived from sell-side analyst consensus data, covering forecast financial measures and analyst attention. For financial factors, it compares raw values with industry-relative rankings and quarter-over-quarter…

EquitiesFactor investingStatisticsBacktesting
ProRealCode

The document describes a long-only S&P 500 trading system built from two simple moving averages. It enters when the two-period average from one day earlier exceeds the current two-period average, the average from ten days earlier exceeds its value from…

EquitiesTechnical indicatorsTrend followingRisk management
MQL5 code base

This Chinese-language post describes an equity screening rule that combines a daily price range threshold, a named morning star candlestick pattern, and at least one large single-day gain within the recent 25 trading days. It frames the screen as a way to…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese equity screen combines a turnover rate from 3% to 12%, a rising DEA condition, and a ten-day return above zero but below 35%. The article describes moderate turnover as a way to seek active trading without extreme activity, uses rising DEA as a…

EquitiesTechnical indicatorsMomentum
SuperMind

This stock screen combines three conditions: daily high-to-low range greater than one percent of the prior close, a ticker beginning with 60, and a 30-day simple moving average that is higher than on the previous day. The document interprets the range as a…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

The document proposes screening stocks in the metaverse theme for positive net buying by large participants during the opening auction and more than two limit-up sessions within the prior ten days. It gives a brief rationale for each element: thematic…

EquitiesChina marketsMomentumBreakout
SuperMind

This post describes a stock screen based on price amplitude above 1 and large-order net volume above 0.05 for at least three consecutive days. It also adds a condition that stocks showed positive price changes during 2021. The article includes example Python…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

The document outlines a Chinese equity screening rule combining a turnover-rate range of 3% to 12%, seven consecutive declining days, and an opening-auction volume condition described as growth of more than 50% versus the prior day. It includes sample…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

The post outlines a Chinese equity screening idea combining daily price range, a low share-price threshold, and recognition of a Morning Star candlestick pattern. Its example implementations also apply a Bollinger-band closing-price condition, then show…

EquitiesTechnical indicatorsChina marketsBacktesting