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 screening rule selects stocks when the reported buying-activity ratio exceeds 5%, the day’s maximum decline lies between 4% and 5%, and the ten-day return is positive but below 35%. The post treats the three filters as short-term buying cues: activity…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This stock screen combines three conditions to form a candidate pool: more than two limit-up days within ten days, a shortening MACD histogram on a 15-minute chart, and RSI below 65. The stated rationale mixes recent market attention, represented by limit-up…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese stock-selection post describes a screen combining three conditions: an amplitude measure above a threshold, a 9:25 price gain below a ceiling, and a rising DEA line from MACD. The stated rationale is to combine a measure of price movement with a…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The article proposes a Chinese equity screen restricted to the metaverse industry. It looks for stocks opening near or above their ten-day moving average, then ranks candidates using a measure combining the session’s price change with large-order activity.…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This research summary argues that banks should be modeled separately in equity selection because their asset-heavy business structure and distinctive price behavior can make factors selected across the full market less effective within the sector. It…

EquitiesFactor investingPortfolio constructionRisk management
SuperMind

This document describes a Chinese equity screen using three conditions: daily price range above a threshold, share price below a ceiling, and a 2019 dividend ratio above a threshold. It frames the screen as a mix of technical behavior and dividend…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This document describes an A-share screen for stocks with turnover between 3% and 12%, seven consecutive declining sessions, and a volume ratio between 1.5 and 6. The volume ratio is calculated against a five-session average. The article presents the pattern…

EquitiesChina marketsMean reversionTechnical indicators
SuperMind

This document presents an A-share stock screen using turnover between 3% and 12%, total market capitalization below 10 billion yuan, positive earnings, and tradable market capitalization between 5 billion and 10 billion yuan. The formula also orders…

EquitiesChina marketsFactor investingStatistics
SuperMind

This document describes a Chinese equity screen combining daily price range, past limit-up activity, and a weekly trend signal. It selects stocks with amplitude above 1, at least two limit-up days in the preceding 500 trading days, and a weekly red-bar…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This Chinese-language post outlines an equity screen that combines daily price range, five years of return on equity above 15%, and prior-day actual turnover between 3% and 28%. It presents the mix as a way to select shares with price movement, sustained…

EquitiesFactor investingTechnical indicatorsChina markets
SuperMind

This stock screen combines a metaverse theme classification, positive net buying attributed to major participants during the auction, and a technical trend condition. The article’s explanation and final selection rule specify that the previous close should…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The document describes a Chinese stock selection screen that combines a turnover-rate range, a listing-year condition, and the presence or absence of an outstanding convertible bond name. Its stated final rule selects stocks with turnover between 3% and 12%,…

EquitiesChina marketsRisk managementBacktesting
SuperMind

This post outlines an equity screen requiring a minimum daily high-low range, positive afternoon large-order net flow, and a positive daily MACD value. It treats the range as a sign of trading activity, the order-flow measure as an indication of capital…

EquitiesMomentumTechnical indicatorsMarket microstructure
SuperMind

The document describes a stock screening idea that combines a recent increase in buying activity, an outside-to-inside trading volume ratio above a threshold, and a shrinking green histogram on a 15-minute MACD display. The proposed interpretation is that…

EquitiesMomentumTechnical indicatorsMarket microstructure
SuperMind

This proposed stock screen combines a daily amplitude condition with a 15-minute MACD histogram condition: the histogram must remain below zero while becoming less negative. It also excludes stocks that closed at the daily limit-up level on the previous day.…

China marketsEquitiesTechnical indicatorsVolatility
SuperMind

This proposed stock selection method combines a minimum daily price range with two short-term flow conditions: large-order net inflow in the afternoon and positive net buying by major participants during the opening auction. It then selects the candidate…

China marketsEquitiesVolatilityMarket microstructure
SuperMind

This Chinese A-share stock screen combines a metaverse industry filter with two activity signals: a stock must have appeared on the market’s “Dragon-Tiger” list the previous day, and its count of institutional research visits over the past week must rank…

China marketsEquitiesSentimentEvent-driven
SuperMind

This Chinese stock screen combines three conditions: daily amplitude above 1, a positive ten-day return below 35, and prior-day auction turnover above 0.26. The article frames these as filters for volatility, moderate recent gains, and short-term trading…

EquitiesChina marketsVolatilityMomentum
SuperMind

This stock-selection recipe screens for shares with amplitude above 1 and a daily control measure above 21, then requires three technical indicators to show simultaneous golden crosses. The article describes amplitude and the control measure as proxies for…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock screen targets companies in a designated metaverse category whose latest close is above the prior close, with bullish conditions from MACD and moving averages. The final rules require DIF above DEA, a five-day average crossing above the ten-day…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The document outlines a Chinese equity screen for stocks in the metaverse sector, using circulating market capitalization and historical returns as filters. Its initial description says to require market capitalization above a stated threshold and positive…

EquitiesChina marketsMomentumFactor investing
SuperMind

The document describes a Chinese stock selection screen combining a daily price range above 1% of the opening price, a high trading-volume threshold, and a positive opening gap. It frames these filters as a way to find active, liquid stocks where market…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

The proposed stock-selection process ranks shares by volume ratio and keeps the top 100, then filters for a stated maximum circulating share count and an upward 30-day moving-average condition. The post explains these as proxies for trading interest, smaller…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

The document describes an equity screen seeking stocks with an intraday range of at least 1%, turnover above 2% and no more than 9%, volume above 10,000 lots, and an opening price close to the high. It frames these conditions as filters for volatility,…

EquitiesTechnical indicatorsVolatility