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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

4,510 documents

SuperMind

This Chinese stock-screening note proposes selecting main-board shares with turnover between 3% and 12%, a robotics theme, circulating market value below 10 billion yuan, and positive afternoon net flows from large orders. Its stated rationale is to combine…

China marketsEquitiesSentimentRisk management
SuperMind

This note presents a stock-screening idea using reported increases in holdings, the ratio of external to internal trading volume, and a morning price-change limit. Its final stated conditions require today’s increase-in-holdings share to exceed 5%, external…

EquitiesChina marketsSentimentTechnical indicators
SuperMind

This stock selection concept combines three elements: ranking shares by capital strength measures such as turnover or volume ratio, looking for a rounded price pattern on candlestick charts, and selecting companies with a dividend payout ratio above 25% for…

EquitiesTechnical indicatorsSentimentFactor investing
SuperMind

This proposed Chinese stock screen combines three signals: today’s position-growth share above 5%, positive net buying attributed to major participants during the auction, and a reference to performance in 2021. The article interprets position growth and…

China marketsEquitiesSentimentTechnical indicators
SuperMind

This screening method selects main-board stocks associated with the robotics theme, with turnover between 3% and 12% and floating market capitalization below 10 billion yuan. It then ranks qualifying names by individual stock popularity or market heat,…

EquitiesSentimentChina marketsRisk management
SuperMind

This note describes a Chinese stock screen combining at least five coincident moving averages, a limit-up event within the prior 25 days, and a shortening MACD histogram on a 15-minute chart. The explanation frames clustered averages as a possible point of…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note proposes screening Chinese stocks by ranking fund strength, requiring positive institutional activity, and selecting shares with more than two limit-up sessions in the past 10 days. The accompanying explanation interprets strong fund inflows and…

EquitiesChina marketsMomentumBreakout
SuperMind

This stock screen selects companies associated with the metaverse theme, with RSI below 65 and more than two limit-up sessions within a recent ten-day window. It combines a technical filter with a theme or sector condition and a measure of unusually strong…

EquitiesChina marketsMomentumSentiment
SuperMind

This proposed A-share screen selects stocks with a reported daily increase in institutional holdings above 5%, a share price below 12, and companies described as loss-free with market capitalization below 10 billion yuan. The post frames the holdings change…

EquitiesChina marketsSentimentRisk management
SuperMind

This note describes a Chinese equity screen using daily turnover between 3% and 12%, a circulating share count no greater than 5.5 billion shares, and a descending ranking by individual stock heat. It frames the turnover and float limits as a way to focus on…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This document outlines an A-share stock screen based on three conditions: buying activity above 5%, evidence of institutional buying, and a pre-open gain below 6%. It presents the combination as a way to find stocks attracting capital without already showing…

EquitiesChina marketsSentimentExecution
SuperMind

This screening idea combines a relative strength index below 65, positive money-flow strength ranked from strongest to weakest, and a pre-market gain below 6% at 9:25. The article interprets the RSI condition as avoiding highly elevated readings, positive…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This note proposes screening Chinese equities using three conditions: institutional purchases exceed 5% of trading volume, institutions are buying near a price bottom, and the company listed in 2021. It presents the combination as a way to find newer stocks…

EquitiesChina marketsSentimentRisk management
SuperMind

This A-share stock screen combines a 14-period RSI below 65, positive afternoon large-order net inflow, and a recent return filter. The stated selection logic also describes a ten-day gain above zero but below 35%; the reference formulas and Python example…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This post describes a short-term A-share stock screen based on daily price amplitude above 1%, ranking by net large-order volume, and a reference to 2021 market conditions. It frames amplitude and large-order flow as measures of trading activity and…

EquitiesChina marketsMarket microstructureSentiment
SuperMind

This screening concept selects stocks whose moving averages converge, requiring at least five averages to overlap, then ranks qualifying names by market attention. The article suggests that multiple averages moving together may indicate a stable trend, while…

EquitiesTechnical indicatorsSentimentChina markets
SuperMind

This ranking concept orders stocks by capital-flow strength and individual-stock popularity, on the premise that stronger flows and greater attention may indicate investor interest. The document proposes selecting the top 20 by these combined rankings, then…

EquitiesChina marketsMomentumSentiment
SuperMind

This stock-selection recipe looks for shares with an RSI below 65, a trading range greater than 1, and at least two limit-up days within the prior 500 days. The document frames the RSI and range conditions as measures of technical steadiness and price…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock screen combines three filters: a 20-day moving average above the 120-day moving average, a reported increase in investor holdings above 5%, and a company-nature criterion. The document interprets the moving-average condition as short-term strength…

EquitiesTrend followingTechnical indicatorsSentiment
SuperMind

This Chinese-language post outlines a stock screen combining three conditions: membership in the metaverse theme, a positive institutional-flow measure, and a rising or diverging moving-average signal. It gives formula references and a Python example that…

EquitiesChina marketsTechnical indicatorsMomentum
FMZ forum

The author frames futures prices through two connected forces: the underlying spot market and the behavior of market participants. Spot supply and demand are proposed as the main influence on longer-term direction, while collective impulses, herding, fear,…

FuturesCommoditiesTechnical indicatorsSentiment
SuperMind

This post outlines a short-term stock screen using three signals: daily price amplitude above a threshold, circulating market value above a minimum, and a positive combination of price change and net flow from very large orders. It also limits the example…

EquitiesMomentumSentimentMarket microstructure
SuperMind

This Chinese stock-screening post proposes ranking shares by capital-flow strength and requiring the 9:25 opening gain to be below 6%. Its revised screening logic adds a top-100 capital-strength ranking, a price-to-earnings ratio below 20, a price-to-book…

EquitiesChina marketsFactor investingSentiment