Skip to content

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
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

12,226 documents

SuperMind

This article presents a broad framework for choosing and assessing quantitative trading strategies. It recommends matching a strategy to an investor’s temperament, available time, preferred trading frequency, capital, programming skills, and goals. It argues…

BacktestingRisk managementPortfolio constructionStatistics
SuperMind

This post outlines a stock screen combining three kinds of conditions: reported same-day position increases, valuation limits, and a short-term MACD signal. Candidates are described as Shenzhen mainboard stocks with price-to-earnings ratios from 0 to 29 and…

EquitiesTechnical indicatorsMean reversionChina markets
SuperMind

This post describes a Chinese A-share screening rule that combines a relative strength index threshold with positive daily price movement. It selects mainboard stocks whose RSI is below 65, whose daily gain exceeds 1%, and whose reported daily return is…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This screening rule combines three conditions: price amplitude above a threshold, a shrinking negative MACD histogram on a 15-minute chart, and exclusion of Beijing-listed shares. The text interprets amplitude as a way to find more volatile stocks and…

EquitiesTechnical indicatorsVolatility
SuperMind

The post presents a Chinese equity screening rule combining a positive MACD reading, filters intended to exclude financially troubled or specially treated companies, and a minimum prior-day trading activity threshold. Its rationale is to pair a technical…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The post describes a daily stock screen for main board shares with turnover between 3% and 12%, a daily gain above 1%, and positive return. It frames the turnover band as a way to focus on trading activity and the gain and return filters as profitability…

EquitiesTechnical indicatorsMomentumStatistics
SuperMind

This post presents a stock selection concept combining a price-amplitude condition, a low K-line-related threshold, and a prior-day appearance on China’s Dragon and Tiger List, a disclosure of notable trading activity. It interprets the listing as a sign of…

EquitiesTechnical indicatorsSentimentMarket microstructure
SuperMind

This post outlines a China-listed equity screen limited to the metaverse theme. It seeks stocks with three technical indicators crossing upward at the same time and positive net buying by large orders during the opening auction. MACD and its signal line are…

EquitiesTechnical indicatorsMomentumSentiment
SuperMind

This Chinese-language post describes a stock screening rule that ranks shares by volume ratio, then filters for a ten-day gain above zero but below 35 and a circulating market value no greater than 5.5 billion shares’ worth, as worded in the source. It…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

The document presents a Chinese equity screening rule that requires MACD to be above zero, the reported external-to-internal trading volume ratio to exceed 1.3, and the 20-day moving average to be above the 120-day average. Stocks passing all three filters…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document describes a stock selection rule combining daily price amplitude, a weekly moving-average crossover, and the presence of an outstanding convertible bond. Its stated rationale is to consider both price trend and volatility alongside a…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This Chinese A-share screening proposal selects stocks with RSI below 65, a circulating market value from 5 billion to 10 billion yuan, and positive institutional activity. The article frames the filters as a combination of a short-term technical measure,…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This Chinese A-share screening proposal filters for stocks with turnover between 3% and 12%, excludes Beijing-listed shares, and ranks candidates by large-order net buying. Its stated rationale is to identify actively traded stocks with positive large-order…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This note outlines a stock-selection screen using turnover between 3% and 12%, excluding Beijing-listed A shares, and requiring at least one daily gain of 10% or more within the preceding 25 trading days. The author frames the recent large gain as a way to…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This note describes a Chinese equity screen combining a daily price-range threshold, an indicator that a company has an outstanding convertible bond, and positive large-order net volume over three consecutive days. The accompanying formula expresses the…

EquitiesTechnical indicatorsMarket microstructureChina markets
SuperMind

This A-share stock selection approach looks for MACD above zero, a rising DEA line, and at least two limit-up events during the previous 500 days. It treats positive MACD and an improving signal line as evidence of strength, while repeated limit-ups identify…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese A-share screening idea combines three conditions: MACD is above zero, parent-company net profit growth is above 20% and no more than 100%, and the stock has reached the daily limit-up at least twice in the prior 500 days. The intended rationale…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The post proposes a Chinese stock watchlist screen for companies associated with beverage or alcohol imports and exports. It combines daily price amplitude above 1% with at least one limit-up event in a recent window. The accompanying indicator and Python…

EquitiesBreakoutTechnical indicatorsRisk management
SuperMind

The post describes a Chinese equity screen requiring daily amplitude above 1%, a positive 10-day return below 35%, and at least one daily gain of 10% or more during the preceding 25 trading days. It frames these conditions as a way to find volatile stocks…

EquitiesMomentumTechnical indicatorsRisk management
SuperMind

This stock-selection idea screens for shares with turnover between 3% and 12%, three consecutive declining sessions, and positive net institutional money flow. It frames the pattern as a way to find stocks that have pulled back while attracting institutional…

EquitiesMean reversionTechnical indicatorsSentiment
SuperMind

The document outlines a Chinese stock-selection idea that combines membership in the metaverse industry with a rounded price pattern and a measure built from price change and net volume attributed to very large orders. Its example implementation further…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-selection idea focuses on the metaverse sector and filters for an opening price less than six percent above the prior close, along with a current-day low below the previous day’s low. The article supplies formula and Python examples for applying…

EquitiesTechnical indicatorsChina markets
SuperMind

This note describes a Chinese stock screen combining three conditions: at least five moving averages converge, the 30-day average is rising, and free float is no more than 5.5 billion shares. The intended rationale is to find stocks with aligned or…

EquitiesTechnical indicatorsTrend following
SuperMind

This Chinese equity screen selects shares priced below 12 yuan whose MACD is above zero, while excluding shares that hit a limit-up on the previous day. The note frames positive MACD as a technical entry condition and the prior-day exclusion as a way to…

EquitiesChina marketsMomentumTechnical indicators