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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
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 A-share screening concept looks for stocks with at least five moving averages clustered together, low concentration, and a 20-day moving average above the 120-day average. The clustering condition seeks prices where several time horizons are close,…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

This Chinese A-share screening idea selects robot-concept stocks with circulating market value below 10 billion yuan, turnover between 3% and 12%, and a volume ratio above 1.5 but below 6. The stated rationale is to focus on robot-related small caps with…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This A-share screening rule looks for trading activity within a 3% to 12% turnover range, an opening price within 5% of the 10-day closing-price average, and a closing price between 18 and 19 yuan. The article frames these conditions as a combination of…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

The document proposes a screen for Shenzhen main-board stocks using reported buying pressure, valuation, and a historical dividend measure. The stated filters include a daily increase in holdings above 5%, a price-to-earnings ratio from 0 to 29.01, a…

EquitiesChina marketsFactor investingSentiment
SuperMind

This screening recipe combines three filters for Chinese equities: rank candidates by a capital-strength indicator, require the outstanding convertible-bond short name to be nonempty, and select stocks whose 20-day moving average is above the 120-day…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

This stock selection rule combines a positive MACD reading, a rising 30-day average, and year-over-year net profit growth above 20% and no more than 100%. The accompanying discussion presents MACD as a shorter-term trend filter, the average as a broader…

EquitiesTechnical indicatorsMomentumFactor investing
SuperMind

This stock screen filters for a daily turnover rate between 3% and 12%, a pattern labeled “reversal” or “reverse engulfing,” and a positive price-to-earnings ratio. Its formula operationalizes the pattern with a range-based ratio threshold, while the Python…

EquitiesMean reversionTechnical indicatorsChina markets
SuperMind

This Chinese stock screen combines a positive MACD reading, a ratio of outside to inside trading volume above 1.3, and a 9:25 gain below 6%. Qualifying stocks are ranked by their individual price gains. The article discusses the early-session cap as a way to…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This note proposes a short-term Chinese equity screen with three conditions: more than two limit-up sessions in the past 10 days, upward-diverging moving averages, and a daily increase-in-holdings share above 5%. It interprets these filters as signs of…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-selection note screens for shares with turnover from 3% to 12%, a reversal-style candle pattern, and at least two limit-up days within the prior 500 days. It presents the conditions as a combination of trading activity, price behavior, and…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note describes a Chinese equity screen that ranks stocks by capital strength and dividend payout. Its final stated rule selects stocks in the top 10% for capital strength and the top 25% for dividend payout, while the heading also references a dividend…

EquitiesChina marketsFactor investing
SuperMind

This stock-screening note selects main-board shares with turnover between 3% and 12%, a robotics theme, circulating market value below 10 billion yuan, and an average price above its five-day moving average. The moving-average condition is presented as a way…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This proposed screen focuses on Shenzhen main-board stocks and combines a daily position-addition share above 5% with a price-to-earnings ratio from 0 to 29.01 and a price-to-book ratio from 0 to 3.11. The post interprets a higher position-addition share as…

EquitiesChina marketsFactor investingRisk management
SuperMind

This proposed equity screen ranks stocks by capital-flow strength, keeps stocks whose ten-day price change is positive but below 35%, and excludes stocks whose quoted 9:25 a.m. gain is 6% or higher. The price-change band seeks stocks that have risen recently…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This proposed stock screen combines a ranking by large-order net volume or capital-flow strength with a requirement that the 2019 dividend payout ratio exceed 25%. The flow ranking is intended to identify stocks with stronger measured inflows, while the…

EquitiesChina marketsEvent-drivenTechnical indicators
SuperMind

The proposed equity screen orders stocks by capital-flow strength and requires a dividend payout ratio above 25% in 2019, along with at least two limit-up sessions during a 500-day lookback. The article presents these conditions as signs of market attention,…

EquitiesMomentumEvent-drivenFactor investing
SuperMind

This stock screen combines a turnover-rate band of 3% to 12%, a reversal-style candle condition, and a close above the previous day’s low. It applies the filters to main-board stocks. The article describes the reversal condition through a measure based on…

EquitiesTechnical indicatorsMomentum
SuperMind

This post proposes screening stocks for at least five overlapping moving averages, a circulating share count no greater than 5.5 billion shares, and a 15-minute MACD histogram whose negative bars are shrinking. The author treats moving-average convergence as…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This post presents a short-term Chinese stock screen requiring turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and an auction-period return greater than -2% and less than 5%. It frames turnover as a measure of trading…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post describes a Chinese equity screen using capital inflows, a 2019 dividend ratio above 25%, and weekly MACD above its zero axis. It interprets stronger inflows as possible buying interest, the positive MACD condition as an indication of an uptrend,…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

This Chinese stock-screening post combines capital-flow strength, a 2019 dividend ratio above 25%, and a positive 10-day return below 35%. Its rationale is that strong inflows may signal market interest, dividends may indicate shareholder distributions, and…

EquitiesChina marketsMomentumFactor investing
SuperMind

This intraday stock-selection rule combines three filters: rank stocks by volume ratio and retain the top 100, rank them by afternoon net inflow and retain the top 100, then require the opening price change at 9:25 to be below 6%. The post describes these…

EquitiesChina marketsMomentumBacktesting
SuperMind

This stock-selection idea screens Chinese A-share listings for securities whose codes begin with 60 and that recorded at least two limit-up days within the prior 500 trading days. It orders candidates by capital strength. The accompanying discussion…

EquitiesChina marketsMomentumTechnical indicators