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

This proposed stock screen combines a prior-day price range greater than one percent, appearance on the previous day’s trading leaderboard, and a company or exchange classification. The examples operationalize the classification as the Science and Technology…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This stock-selection idea combines three filters: rank shares by volume ratio and retain the top 100, require a positive prior-day price change without a limit-up close, and require the 30-day moving average to be rising while price remains above it. The…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This screen focuses on stocks classified in the metaverse theme. It pairs an upward-sloping 30-day moving average with a price above a long-term moving-average threshold. The prose refers to the previous day's price and a 250-day average, while the formula…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

This technical stock screen selects shares with a daily high-low range above one percent of the previous close, a high equal to the greater of the current and prior day's highs, and a weekly five-day moving average crossing above the ten-day average. The…

EquitiesTechnical indicatorsMomentumBreakout
SuperMind

This stock screen targets companies in the metaverse theme that have a positive return and a bullish moving-average signal. Its formula reference uses a crossover of the five-day average above the ten-day average. The accompanying Python example instead…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document proposes screening Chinese stocks for daily price range above a threshold, market capitalization below a limit, positive net profit, and a minimum period since listing. It explains these filters as a way to focus on more volatile, smaller…

China marketsEquitiesFactor investingTechnical indicators
SuperMind

The document describes an A-share stock screen that combines a 14-period RSI ceiling with the sign of price change multiplied by a five-day proxy for large-order flow. It also filters for positive auction-period price movement and buying activity, minimum…

EquitiesTechnical indicatorsChina marketsMarket microstructure
SuperMind

This Chinese-language post outlines an equity screening idea that combines a small market-cap ceiling, a history without losses, a weekly five-period moving average crossing above a ten-period average, and a daily increase in position holdings above a stated…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese stock-screening note combines price range, turnover, auction volume relative to prior trading volume, and Bollinger Bands. Its stated logic seeks stocks with amplitude above 1, a turnover-and-volume ratio between 0.5 and 2, and a closing price…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This Chinese stock-screening note proposes selecting shares associated with the robotics concept, with turnover between 3% and 12%, free-float market capitalization below 10 billion yuan, and circulating shares no greater than 5.5 billion. It adds a…

EquitiesChina marketsTechnical indicators
SuperMind

This Chinese-language post describes an A-share stock screen focused on the metaverse industry. It selects stocks with a volume ratio between 1.5 and 6 and ranks candidates by capital-flow strength. The post explains volume ratio as a measure of trading…

EquitiesChina marketsTechnical indicatorsBacktesting
SuperMind

This note describes a Chinese equity screen using three characteristics: turnover between 3% and 12%, an IPO year of 2021, and a specified daily maximum decline between 4% and 5%. It presents the rules as a way to identify stocks based on trading activity,…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This note proposes screening Chinese stocks for a recent positive but bounded price gain, alongside a narrow price band around 18.5 yuan. It also refers to a requirement that at least five moving averages converge, presenting that condition as a way to find…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This note describes a Chinese A-share stock screen that selects shares with turnover between 3% and 12%, excludes Beijing-listed stocks, and requires at least one limit-up event in the past month. The proposed rationale is that a recent limit-up may signal…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This post proposes selecting stocks with MACD above zero, upward-moving averages, and rising large-order net volume, then sorting candidates by that flow measure. It describes MACD as a trend filter, moving averages as a directional signal, and large-order…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post describes a daily, after-close stock screen that requires MACD to be above zero and ranks eligible stocks by a popularity measure. Its final logic also calls for market capitalization above a stated threshold and excludes suspended stocks. The post…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

The post proposes a Chinese equity screen that ranks stocks by market capital inflow, then selects companies below a stated market-cap ceiling that are not loss-making and have higher revenue in 2021 than in 2018. The written selection logic specifies…

EquitiesChina marketsFactor investingRisk management
SuperMind

This overview surveys private fund investment approaches, outlining how managers combine asset selection, portfolio construction, and risk management. It covers equity long-only, long-short, and market-neutral strategies; managed futures trend and arbitrage…

Multi-assetEquitiesFuturesArbitrage
SuperMind

This post describes a Chinese equity screening rule that selects stocks in the metaverse sector when the prior day's price is above the 250-day moving average and daily MACD is positive. It frames sector membership as exposure to a popular theme and the…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document proposes an equity screen combining metaverse industry membership, a rounded price pattern, and an opening price near the 10-day moving average. It frames this combination as a way to identify lower-priced stocks with potentially favorable entry…

China marketsEquitiesTechnical indicatorsMean reversion
SuperMind

This note proposes screening Chinese A-shares for a turnover rate between 3% and 12%, excluding Beijing-listed shares, then selecting the five stocks with the largest amount traded in the day’s auction. Its rationale is that high auction activity may…

China marketsEquitiesExecutionRisk management
SuperMind

The note describes a Chinese A-share selection idea that combines price amplitude above one, three technical indicators crossing upward, and a connection to the metaverse. It presents the added metaverse condition as a way to target a popular emerging theme,…

China marketsEquitiesTechnical indicatorsRisk management
SuperMind

This Chinese A-share screen targets stocks in the metaverse theme with circulating share capital at or below 5.5 billion shares and a price gain below six percent at 9:25. The article presents the criteria as a way to focus on companies with a moderate float…

China marketsEquitiesExecutionRisk management
SuperMind

This Chinese A-share screening idea looks for stocks with an intraday range greater than one percent, at least one limit-up event during the prior 25 days, and high current auction amount, selecting the top five by that measure. The article frames range as a…

China marketsEquitiesVolatilitySentiment