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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
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

22,592 documents

SuperMind

This screening idea selects stocks whose daily range exceeds one percent, whose KDJ indicator has just crossed upward, and whose price lows are rising. The article frames a large range as evidence of higher volatility, a fresh crossover as a possible shift…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The screen seeks Chinese equities with at least five overlapping moving averages, a newly formed KDJ golden cross, and at least two limit-up sessions during the stated lookback. The article interprets moving average convergence as a possible support or…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This note proposes a stock screen combining price amplitude above a threshold, upward movement around a short moving average, and MACD above zero. It interprets amplitude as a measure of recent price movement, the moving-average condition as a short-term…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This note describes a Chinese equity screening rule that combines three filters: RSI below 65, membership in the beverage and alcohol import-export industry, and a newly formed KDJ bullish crossover. It explains the indicators as technical conditions and…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This post describes a stock selection screen that combines a turnover range of 3% to 12%, a K value below 20, and a sequence of seven declining sessions. The stated idea is to find stocks that have fallen for several days, potentially identifying a turning…

EquitiesMean reversionTechnical indicatorsChina markets
BigQuant

This short Q&A shows a fixed-threshold exit rule for stocks and asks how to make the exit dynamic. For each held position, the example retrieves the cost price and latest market price, calculates the percentage change from cost, and closes the position when…

EquitiesRisk managementExecution
SuperMind

The proposed Chinese equity screen selects main-board stocks associated with beverage and alcohol imports and exports. Its stated criteria include an RSI below 65 and a daily price rise greater than 1%. The accompanying discussion frames the industry filter…

China marketsEquitiesTechnical indicatorsMomentum
BigQuant

The report compares linear, polynomial, Gaussian, and sigmoid support vector machine classifiers, along with support vector regression, for multi-factor stock selection. Its workflow extracts features and labels, preprocesses inputs, trains and tunes models…

China marketsEquitiesMachine learningFactor investing
SuperMind

This stock selection approach combines three signals: more than two limit-up sessions within ten days, a closing price above the previous day's low, and a reported daily position increase above 5%. The post interprets these as signs of buying interest and…

EquitiesMomentumBreakoutRisk management
SuperMind

This Chinese stock screen combines a positive MACD reading with a volume ratio between 1.5 and 6 and positive net profit. The rationale is to find shares with upward price momentum, stronger than usual trading activity, and a basic profitability signal. The…

EquitiesMomentumTechnical indicatorsRisk management
SuperMind

This post outlines a Chinese equity screen that combines metaverse-sector membership, an arc-shaped price pattern, and a prior-day close above the 250-day moving average. The long moving-average condition is intended to favor stocks already in an established…

EquitiesTechnical indicatorsTrend following
SuperMind

This Chinese stock-selection proposal combines three technical conditions: daily price amplitude above 1%, at least two limit-up events within 500 days, and a reported external-to-internal volume ratio above 1.3. The document interprets the first two…

China marketsEquitiesTechnical indicatorsMarket microstructure
BigQuant

This proposed Chinese equity screen combines membership in the metaverse industry with a rounded price pattern and seven consecutive down sessions. The accompanying explanation frames the falling-price condition as an added technical filter intended to…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese A-share stock screen combines a positive MACD reading with a stock-heat ranking and a prior-day actual-turnover range of 3% to 28%. It proposes selecting after the daily close. The accompanying explanation treats MACD as a short-term trend…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This post proposes screening Chinese stocks for a daily price move of at least one percent, a nonempty name for an outstanding convertible bond, and exclusion from a specified market segment. It presents the range condition as a way to identify active stocks…

EquitiesChina marketsTechnical indicatorsStatistics
SuperMind

This post describes a Chinese equity screen combining three conditions: reported position increases above a threshold, the prior close above a long-term moving average, and a limited opening gain at 9:25. It also offers an alternative using turnover and a…

EquitiesChina marketsTechnical indicatorsBacktesting
SuperMind

This stock screen combines four filters: price amplitude above a stated threshold, market capitalization below a stated ceiling, positive net profit, and exclusion of the STAR Market. The accompanying discussion presents the amplitude filter as a way to find…

EquitiesChina marketsVolatilityFactor investing
BigQuant

This report explains how the MSCI China A50 Connect Index selects and weights large-cap Chinese equities. It chooses stocks across GICS industries, first taking leading free-float market-cap names by industry and then filling to 50 constituents; weights are…

EquitiesChina marketsFactor investingPortfolio construction
BigQuant

This study examines quantitative stock selection within China’s electronics and electronic-components sectors. It reviews conventional fundamental and price-volume factors, reporting promising selection results for valuation, quarterly profit growth, return…

EquitiesFactor investingChina marketsBacktesting
BigQuant

Return on equity (ROE) measures net income relative to shareholders’ equity, expressing how much profit a company generates from its equity base. The document gives the formula and a simple numerical illustration, then describes how investors may interpret…

EquitiesFactor investingStatisticsRisk management
SuperMind

This short-term stock screen combines three conditions: prior-day price amplitude above 1%, a prior-day appearance on China’s Dragon-Tiger list with reported buying greater than selling, and a current high that is the highest over the recent two-day window.…

EquitiesChina marketsBreakoutVolatility
SuperMind

This daily stock screen selects securities before the market opens using three conditions: MACD above zero, a positive price-to-earnings ratio, and more than one year since listing. The document presents MACD as a way to identify an upward trend, treats…

EquitiesTechnical indicatorsMomentumChina markets