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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
Quantpedia
86 documents
TqSdk
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
Quantopian lectures
45 documents
Binance API docs
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

22,592 documents

SuperMind

This note describes a Chinese equity screen requiring a daily high-low range greater than 1% of the previous close, a trading date in 2021, and a filter intended to exclude stocks that hit the daily price limit on the prior day. It provides indicator-formula…

EquitiesTechnical indicatorsVolatilityChina markets
SuperMind

This A-share screening idea combines three signals: prices above several moving averages, net buying by large orders in the afternoon, and shrinking green bars on a 15-minute MACD. The text interprets moving-average alignment as a stable trend, large-order…

EquitiesTechnical indicatorsMomentum
SuperMind

This screening rule selects equities with turnover between 3% and 12%, a flag indicating appearance on the prior day's exchange activity list, and a price-to-earnings ratio below 20. The stated rationale is to combine a moderate level of trading activity…

China marketsEquitiesFactor investingTechnical indicators
SuperMind

This stock selection idea combines a price range condition, sustained profitability, and a recent price high. It seeks shares whose high-to-low movement exceeds a volatility threshold, whose return on equity stayed above 15% for five consecutive years, and…

China marketsEquitiesTechnical indicatorsFactor investing
BigQuant

The document proposes separating sector allocation from industry selection because broad sector shifts are linked more closely to economic conditions, while industry performance depends on factors such as earnings, valuation, and capital flows. It argues…

China marketsEquitiesFactor investingPortfolio construction
SuperMind

This post outlines a Chinese-market stock screen that targets companies associated with the metaverse concept. It combines a rising 30-day moving average with a close above the previous session’s low. The article supplies indicator logic and a Python…

EquitiesChina marketsTechnical indicatorsMomentum
Stratmill research code

This module describes ways to select groups of stocks for vine copula analysis, a component of a statistical arbitrage approach. It starts from price histories, calculates daily returns and ranked returns, and narrows candidate partners for each target stock…

EquitiesArbitragePairs tradingStatistics
SuperMind

The strategy screens Chinese equities associated with the metaverse theme. It requires the previous day’s actual turnover to be between 3% and 28%, and at least one limit-up event during the prior 25 days. The rationale is that the industry theme may offer…

EquitiesMomentumChina marketsTechnical indicators
SuperMind

This stock-selection idea combines three filters: at least five moving averages converge, turnover lies between 2% and 9%, and the stock’s gain at 9:25 is below 6%. The document interprets clustered averages as relatively stable price behavior, the turnover…

EquitiesTechnical indicatorsChina marketsBacktesting
BigQuant

This article explains Bollinger Bands as a moving average surrounded by upper and lower bands set a chosen number of standard deviations away. It walks through a small closing-price example and gives a second illustrative calculation using a 20-period…

Technical indicatorsVolatilityMean reversionTrend following
SuperMind

This article proposes screening Chinese stocks using three conditions: daily high-low amplitude above 1%, a newly formed KDJ crossover, and a signal derived from beverage and alcohol import-export data. It describes the crossover as a possible sign of…

EquitiesTechnical indicatorsMomentumChina markets
BigQuant

The document summarizes research using public Northbound investor holdings and trading-flow data to build 12 factors for Chinese equities. It reports testing those factors from December 2016 through December 2019 across Northbound-held stocks, the CSI 800,…

EquitiesChina marketsFactor investingStatistics
SuperMind

The document describes a Chinese equity screen combining three conditions: daily high-low amplitude above one, at least one daily gain of 10% or more in the prior 25 trading days, and parent-company net profit growth above 20% and no more than 100%. It…

EquitiesChina marketsVolatilityMomentum
SuperMind

This equity screen combines three signals: rank stocks among the top 100 by volume ratio, require a newly formed KDJ bullish crossover, and require the 30-day moving average to slope upward. The document presents these filters as checks on trading activity,…

EquitiesTechnical indicatorsMomentumTrend following
SuperMind

This stock selection method combines a turnover range of 3%–12%, greater first-level bid volume than ask volume, and a rising KDJ K line. The accompanying indicator example also checks for consecutive K increases, price above a short moving average, positive…

EquitiesTechnical indicatorsMomentumMarket microstructure
SuperMind

This post describes a stock screen using three conditions: amplitude above a threshold, a current-day maximum decline between the stated percentage bounds, and a previous session that was not limit-up. It provides a formula reference and a Python example…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This Chinese-language post outlines an equity screening idea that combines stocks with amplitude above a stated threshold, the five highest opening-auction amounts for the day, and a proxy for institutional buying. It gives a corresponding indicator-formula…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This Chinese-language stock screen combines a 3% to 12% turnover range with robot-industry membership, float market value below 10 billion yuan, trading volume above 10,000 lots, and a positive opening gap. The article describes ranking qualifying names by…

EquitiesChina marketsMomentumExecution
SuperMind

This stock-selection rule combines a turnover band of 3% to 12%, appearance on the prior day’s top-trader or unusual-trading list, and declines across the latest three sessions. The stated idea is to focus on moderately active shares that attracted market…

EquitiesMean reversionMomentumStatistics
FMZ forum

This Chinese-language guide outlines how to build and run automated strategies on FMZ. It describes the platform’s strategy editor, exchange account configuration, hosted execution, and support for several programming languages and crypto venues, as well as…

CryptoEquitiesBacktestingExecution
MQL5 code base

The document describes an indicator that projects the conventional RSI reference levels of 30, 50, and 70 onto the price chart. Rather than displaying RSI only in a separate oscillator panel, it aims to express the corresponding oversold, midpoint, and…

Technical indicatorsMomentumEquities
SuperMind

The document presents a proposed screen for Chinese equities that combines a daily-range condition, a dividend payout ratio above 25% for 2019, and alignment among multiple moving averages. It explains the intended rationale as combining price volatility,…

EquitiesChina marketsTechnical indicatorsFactor investing