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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 post presents a China-market stock-selection screen for the metaverse theme. It starts with stocks whose prior-day turnover exceeds 8% and whose price is above the five-day moving average. The proposed refinement also requires a MACD crossover, with…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post presents a stock screen combining daily price amplitude, a positive weekly MACD signal, and a minimum total market capitalization. Its rationale is to look for volatile stocks with an upward weekly signal while retaining companies above a size…

EquitiesTechnical indicatorsMomentumBacktesting
SuperMind

This post describes a China A-share screening idea that combines a daily turnover-rate band, a beverage and alcohol industry filter, and a rising-bottom condition intended to favor stocks with improving price structure. The listed screening logic is…

EquitiesChina marketsTechnical indicatorsBacktesting
SuperMind

This note outlines a Chinese stock screen that requires turnover between 3% and 12%, a K indicator below 20, and a pattern described as the start of a major upward move. The conditions are presented as a buy signal: turnover and the indicator narrow the…

EquitiesMomentumTechnical indicatorsRisk management
SuperMind

This note describes a Chinese equity screen combining daily price amplitude above 1%, a K indicator below 20, and a high ranking for net large-order volume. It presents the conditions as a way to combine price movement, a potentially low technical reading,…

EquitiesTechnical indicatorsMarket microstructureChina markets
SuperMind

This post proposes a Chinese equity screen for stocks associated with the metaverse. It combines simultaneous bullish crossovers in technical indicators, including MACD and short- versus longer-period moving averages, with nonnegative afternoon net inflows…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This Chinese-language post proposes screening Chinese stocks associated with the metaverse using a rounded or arc-shaped chart pattern and at least two limit-up sessions within a 500-day window. It also presents a final condition requiring a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note introduces a market style rotation approach focused on large-cap versus small-cap Chinese equities. It explains that styles group stocks into opposing categories and that rotation describes changes in their relative leadership. Macroeconomic…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese stock-screening proposal selects companies associated with the metaverse theme, with circulating market capitalization above a stated threshold, and an institutional buying or bottom-fishing signal. The accompanying discussion treats…

EquitiesChina marketsFactor investingSentiment
SuperMind

This Chinese stock-screening example combines a high-amplitude condition with a morning-star candlestick pattern and a rounded price shape. Its Python illustration adds filters for listing market, market capitalization, positive earnings, and a recent close…

EquitiesChina marketsTechnical indicatorsBacktesting
SuperMind

The proposed stock screen combines three signals: daily price amplitude above a threshold, a shrinking negative MACD histogram on a 15-minute chart, and a newly formed KDJ golden cross. The document interprets the amplitude filter as selecting more volatile…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The screening rule selects stocks with turnover between 3% and 12%, a rising K line from the KDJ indicator, and a positive institutional holdings measure. The article presents the rule as combining trading activity, technical momentum, and an institutional…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese equities post describes a technical screen requiring a daily range above one percent, current volume above ten thousand lots, an open above the prior close, and a close above the previous day’s low. It presents the conditions as a way to find…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

The document outlines a Chinese equities screen combining three conditions: a prior-day trading range above one percent, appearance on the previous day’s trading leaderboard, and a listing date after the start of 2021. It frames the range as a way to find…

EquitiesChina marketsVolatilitySentiment
SuperMind

This Chinese-language post presents a stock-selection screen combining turnover, listing date, circulating market capitalization, and recent price movement. It targets stocks listed in the current year with market capitalization between 500 million and 1…

EquitiesChina marketsTechnical indicatorsStatistics
SuperMind

The document outlines a stock-selection screen using turnover between 3% and 12%, an outside-volume to inside-volume ratio above 1.3, and a minimum listing age represented by an unspecified number of years. It frames the filters as a way to combine trading…

EquitiesChina marketsTechnical indicatorsStatistics
SuperMind

This article describes a stock screen that requires price amplitude above 1, a listing history longer than one year, and a weekly indicator crossing above its 30-week moving average. It argues that weekly data can reduce the influence of short-term…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

This Chinese-language article proposes screening listed stocks for turnover between 3% and 12%, a reversal or engulfing-style pattern, and positive large-order net inflows, then ranking candidates by fund-flow strength. It presents the flow ranking as a way…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This post presents a daily stock screen for shares whose codes begin with 60, whose intraday high-low range exceeds one percent of the previous close, and whose five-day, ten-day, and sixty-day simple moving averages are ordered from highest to lowest. The…

China marketsEquitiesTechnical indicatorsVolatility
SuperMind

This stock selection method screens companies in the metaverse industry for a newly formed KDJ bullish crossover and a positive return over the recent ten trading days, capped below 35%. It selects securities before 10:00 and requires them to be tradable…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This stock-selection example screens within the metaverse industry for shares where the KDJ indicator has just crossed upward and the main-force net buying measure during the opening auction is positive. The proposed logic combines a technical reversal…

EquitiesChina marketsTechnical indicatorsSentiment