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
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

12,226 documents

SuperMind

The article proposes a Chinese equity screening rule that combines at least five overlapping moving averages, a 20 day average above the 120 day average, and a positive 10 day return below 35%. It interprets these conditions as alignment across time horizons…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The document describes an equity screening rule that combines positive MACD, a share price below 12 yuan, and a control strength measure above 21. It defines control strength from the close’s position within the day’s high–low range, then averages that…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This screening example targets beverage and alcohol-related stocks with turnover between 3% and 12% and a positive ten-day price gain below 35%. It presents turnover as a measure of trading activity, the industry classification as a way to define the…

EquitiesMomentumChina markets
SuperMind

This proposed stock screen combines turnover between 3% and 12% with a condition involving the product of daily price change and large-order net flow, a rising K value from the KDJ indicator, and additional trend and market-cap filters in the formula…

EquitiesTechnical indicatorsMomentumMarket microstructure
SuperMind

This stock screen combines a price-range condition, a weekly moving-average signal, and a historical dividend measure. Its stated criteria are amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and a 2019 dividend…

EquitiesTechnical indicatorsChina markets
SuperMind

This proposed stock screen combines MACD above its zero line, year-over-year net profit growth above 20% and at most 100%, and revenue in 2021 more than 1.1 times its 2018 level. The discussion interprets these conditions as a mix of price trend, recent…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock screen combines a 14-period RSI below 65, a daily gain above 1%, main-board listing, and a circulating market value between 5 billion and 10 billion yuan. The accompanying discussion presents the filters as a way to combine price strength with…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The post describes a Chinese A-share screen requiring amplitude above 1 and a ten-day return above zero but below 35%, while excluding Beijing-listed shares. It interprets amplitude as a sign of volatility and the return band as a way to avoid both falling…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The post proposes screening Chinese shares for daily amplitude above 1, a daily control measure above 21, and circulating market capitalization between 5 billion and 10 billion yuan. It frames the combination as a contrarian search for possible medium term…

EquitiesChina marketsMean reversionTechnical indicators
SuperMind

This article describes an equity selection approach centered on smaller profitable companies listed on the Shenzhen main board. Its stated filters combine stronger money-flow readings with moderate price-to-earnings and price-to-book ratios, a market…

EquitiesFactor investingChina marketsStatistics
SuperMind

This article outlines an equity screen combining daily price conditions with a 15-minute MACD histogram signal. It selects stocks with an intraday range above 1%, a session low between 4% and 5% below the prior close, and a green MACD histogram that is…

EquitiesTechnical indicatorsMean reversionRisk management
SuperMind

This note proposes screening Chinese stocks by amplitude above 1, turnover between 2% and 9%, and a daily maximum decline between 4% and 5%. The stated aim is to find active, volatile stocks that may offer rebound opportunities after a sharp drop. It…

EquitiesChina marketsVolatilityMean reversion
SuperMind

This Chinese equity screening idea looks for stocks with strong capital activity, a daily maximum decline between 4% and 5%, and a shortening MACD histogram below zero on a 15-minute chart. It interprets the narrowing negative bars as weakening downward…

EquitiesChina marketsMean reversionTechnical indicators
SuperMind

This note describes a short-term Chinese equity screen combining amplitude above 1, a 9:25 price gain below 6%, and a positive change in the KDJ K value. The stated rationale is to find volatile stocks showing improving technical momentum, with stable…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-selection rule filters for securities with turnover rates in a specified range, codes beginning with 60, and an area field that does not identify Beijing. The accompanying rationale is that the turnover range may help focus on stocks with a…

EquitiesChina marketsStatisticsRisk management
SuperMind

This Chinese A-share screening strategy combines three technical conditions: daily amplitude above the stated threshold, the latest close moving above a five-session average, and a recent limit-up event within roughly one month. The accompanying explanation…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The article presents a quantitative way to compare two candlestick price series, motivated by the technical-analysis idea that historical price patterns may recur. It defines each candle by its open, high, low, and close, and notes that comparisons depend on…

EquitiesTechnical indicatorsStatistics
SuperMind

This note presents a Chinese equity screen that selects stocks with a daily high-low range of at least one percent of the open, a price measure close to the higher of the five- and twenty-day moving averages, and exclusion of the STAR Market. It supplies…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This note describes a Chinese equity screen combining membership in the metaverse theme, a closing price above the 250-day moving average, and a condition related to beverage and alcohol exports. It gives example indicator and Python implementations, but the…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

The document describes an equity screen that combines turnover between 3% and 12%, a reversal-style price pattern, and return on equity above 15% for five consecutive years. Its example formula also requires the KDJ indicator’s K value to exceed its D value,…

EquitiesTechnical indicatorsFactor investingRisk management
SuperMind

The document explains the Turtle trend following system as a mechanical futures approach intended to limit discretionary decisions. It covers liquid market selection, volatility based sizing using ATR, and Donchian channel breakout entries. A short term…

FuturesTrend followingBreakoutTechnical indicators
SuperMind

The document describes a Chinese A-share screening idea that combines a positive MACD condition with a low share price and a limit on circulating shares or market value. It says screening is performed before the trading day, and presents both…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This note describes a technical screen for stocks whose MACD is above zero, whose best bid volume exceeds best ask volume, and whose 30-day moving average is rising. The combined conditions are intended to capture positive trend direction and near-term…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note presents an A-share screen based on price amplitude above one percent, a nonempty name for an outstanding convertible bond, and exclusion of Beijing-listed stocks. It describes volatility as the main selection feature and treats the regional…

EquitiesChina marketsVolatilityTechnical indicators