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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 note describes a Chinese equity screen that selects beverage and alcohol import-export companies in 2021 when the daily high-to-low range exceeds 1% of the low. The stated rationale is that larger ranges may indicate volatility and return potential,…

EquitiesVolatilityChina markets
SuperMind

The post presents a Chinese-stock screening idea that combines a price-amplitude threshold with a range for yesterday’s turnover multiplied by today’s auction volume relative to yesterday’s volume. It also requires circulating market capitalization above a…

China marketsEquitiesTechnical indicatorsFactor investing
SuperMind

The document describes a TD-style timing system attributed to Thomas DeMark. It begins with a setup: compare each close with the close a fixed number of bars earlier, and require that relationship to persist for a specified run of bars. A falling sequence…

China marketsEquitiesTechnical indicatorsTrend following
SuperMind

This Chinese-language post outlines a stock screen combining daily amplitude above 1, a condition described as main-force control on the prior day, and a newly formed KDJ golden cross. It interprets the range condition as a sign of greater movement, the…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese-language note proposes a daily, after-close stock screen requiring MACD to be positive and the reported daily position-increase share to exceed 5%. It then ranks qualifying stocks by descending popularity or heat, with an example that returns…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language strategy note describes a stock-selection screen combining turnover between 3% and 12%, a rising DEA measure, and a 20-day moving average above the 120-day average. It presents the screen as a way to find stocks with trading activity…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post outlines a China A-share screening rule for stocks classified in the metaverse sector. It first describes selecting names with prior-day turnover above a threshold and positive institutional activity, then gives a final rule using prior-day…

EquitiesChina marketsFactor investingBacktesting
SuperMind

The document presents a Chinese equity screening rule that selects stocks with amplitude above 1, circulating market capitalization above 10 billion yuan, and at least two limit-up events over the prior 500 days. It frames the combination as a way to find…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This post describes a Chinese stock screen based on daily amplitude, circulating market capitalization, and association with a robotics concept. Its narrative specifies amplitude above 1, a market-cap threshold above 10 billion yuan, and a cap below 10…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This post presents a Chinese equity screening rule combining RSI below 65, a rising KDJ K line, and an amplitude measure above 1. The accompanying indicator reference uses a 14-period RSI, a 9-period stochastic calculation with 3-period smoothing, and…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document proposes a Chinese equity screen based on a daily price range above a stated threshold, a product combining the prior day's turnover rate with the ratio of current auction volume to prior volume, and a closing price below 12. It frames these…

China marketsEquitiesTechnical indicatorsStatistics
SuperMind

The document proposes an A-share stock screen combining daily range, recent limit-up behavior, and buying activity attributed to large orders during the opening auction. A candidate must have a daily high-low range above 1%, at least one limit-up day in the…

EquitiesChina marketsMomentumBreakout
SuperMind

This article proposes screening Chinese equities for market value below 10 billion yuan, a volatility condition, and positive profitability over recent years. It describes combining a price range measure with a subjective assessment of company quality and…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This Chinese-language post outlines a stock screen that ranks shares by trading-volume strength and selects those near the top of the ranking. It adds a 15-minute MACD condition: the green histogram bars should be shrinking, which the post interprets as a…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This post proposes a short-term Chinese equity screen using three conditions: prior-session amplitude above 1%, tradable share count no greater than 5.5 billion, and at least one limit-up during the first three months of 2021. The rationale is to combine…

EquitiesVolatilityBreakoutRisk management
SuperMind

This post describes a Chinese equity screening rule combining current turnover, top-of-book order volume, and previous-day turnover. It selects stocks with turnover between 3% and 12%, more displayed volume at the best bid than at the best ask, and prior…

EquitiesMarket microstructureTechnical indicators
SuperMind

The post proposes a Chinese equity screen for beverage and alcohol import or export stocks. It combines an amplitude threshold with three moving averages aligned in a bullish order, described as simultaneous golden crosses, then selects a limited number of…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This A-share selection rule combines three conditions: a daily range above 1%, weekly MACD above zero, and at least two limit-up events within a 500-day lookback. The document presents repeated limit-up moves as a possible sign of strength, with the range…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This stock selection rule screens for A-shares with a daily high-low range above 1% and turnover between 2% and 9%. It combines a volatility measure with trading activity and a market classification filter. The document also sketches an implementation using…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

The article describes an equity screen combining three conditions: membership in the metaverse theme, a prior-day close above the 250-day moving average, and a rising-bottom pattern. It explains the latter as a retest after a decline and rebound, where the…

EquitiesTechnical indicatorsChina marketsRisk management
SuperMind

This post proposes screening stocks in the metaverse industry using two conditions: price or average price above a five-day moving average, and prior-day auction turnover above 0.26. It interprets the moving-average condition as a short-term upward trend and…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese-language post presents an A-share screening rule that combines a 14-period RSI below 65, a ratio of outside-market to inside-market trading above 1.3, and a volume ratio between 1.5 and 6. It frames the order-flow ratio as a proxy for buying…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese stock-selection strategy filters for an RSI below 65, circulating market capitalization between 5 billion and 10 billion yuan, and prior-day turnover above 8%. The accompanying Python example calculates a 14-period RSI, applies the three…

EquitiesTechnical indicatorsStatisticsChina markets