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
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

The document describes a Chinese A-share screening rule for stocks associated with the metaverse theme. It combines a price condition relative to the 250-day moving average with a fixed closing-price condition. The prose refers to the prior day’s price being…

EquitiesTechnical indicatorsChina marketsRisk management
SuperMind

This post describes a stock screen for Shenzhen main-board shares using a price-to-earnings range of 0 to 29.01, a price-to-book range of 0 to 3.11, a 2019 dividend payout ratio above 25%, and an amplitude condition above 1. It frames the filters as a…

EquitiesChina marketsFactor investingRisk management
SuperMind

This post proposes a Chinese stock screen combining three conditions: at least five moving averages converge, the prior day’s turnover exceeds 8%, and the 30-day moving average is rising. The author interprets convergence as relatively stable prices, high…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This index timing method fits a quadratic function to a local segment of a historical price series, using either closing prices or the average of opening and closing prices. It treats the slope at the newest fitted point as an indicator of whether the series…

China marketsEquitiesTechnical indicatorsStatistics
SuperMind

The proposed A-share screen selects stocks whose price amplitude exceeds 1, excludes Beijing-listed shares, and requires the stock to have appeared on the previous day’s Dragon-Tiger list, a disclosure of notable trading activity. The post frames amplitude…

EquitiesChina marketsTechnical indicatorsEvent-driven
SuperMind

This short-term stock selection method combines three conditions: price amplitude above 1, yesterday’s turnover multiplied by today’s opening-auction volume divided by yesterday’s volume between 0.5 and 2, and an outside-to-inside volume ratio above 1.3. The…

EquitiesChina marketsMarket microstructureTechnical indicators
SuperMind

The document outlines an equity screening rule combining a daily high-low range greater than one percent of the prior close, weekly MACD above zero, and exclusion of stocks that hit the daily upper price limit on the previous day. It presents these…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The document describes a Chinese A-share stock screen combining price amplitude above 1%, a circulating share count no greater than 5.5 billion, and auction-period price movement accompanied by large and extra-large buy-flow volume above the stated…

EquitiesChina marketsVolatilityMarket microstructure
SuperMind

The document proposes screening Chinese A-share stocks using three conditions: daily price amplitude above 1%, a nonempty convertible-bond name, and at least one limit-up event within the preceding month. It interprets amplitude as a volatility filter, the…

EquitiesChina marketsVolatilityBreakout
SuperMind

The document explains moving averages as averages of recent closing prices and introduces Granville’s eight buy and sell signals. These compare price with a moving average, using line crossings, direction, and distance from the average to suggest entries or…

FuturesTechnical indicatorsTrend following
SuperMind

This stock-selection rule focuses on companies in the metaverse industry that recorded at least one limit-up day during the previous 25 days. It further requires the current volume ratio to be above 1.5 and below 6, where the ratio is described as trading…

China marketsEquitiesMomentumTechnical indicators
SuperMind

These reading notes survey high-frequency trading from market structure through strategy and infrastructure. They describe electronic order books, the roles of investors, market makers, arbitrageurs, and directional predictors, and how market makers earn…

High-frequency tradingMarket microstructureMarket makingArbitrage
SuperMind

This proposed Chinese equities screen selects non-special-treatment stocks with daily amplitude above 1 and a product between 0.5 and 2: the previous day's turnover rate multiplied by today's opening-auction volume divided by the previous day's volume. It…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This Chinese stock screening proposal combines three conditions: amplitude above one, a change in an institutional trading-volume measure, and an opening price within one percent of the 10-day moving average. It suggests running the screen after the market…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This note outlines a mainland China stock screen requiring RSI below 65, a daily gain above 1%, main-board eligibility, and MACD above zero. It presents RSI as a way to identify comparatively weak stocks that may rebound, the daily gain as a short-term…

EquitiesTechnical indicatorsMomentumTrend following
SuperMind

This note proposes a Chinese equity screen combining a historical dividend payout ratio above 25%, a ranking by large-order net volume, and an intraday price range greater than 1. Its rationale is to mix a short-term price and order-flow signal with a…

EquitiesMarket microstructureVolatilityFactor investing
SuperMind

This note describes a mainland China stock screen that combines RSI below 65, a daily price gain above 1%, main-board eligibility, and weekly MACD above zero. The stated rationale is to pair a momentum signal from the day’s gain with a longer-term trend…

EquitiesTechnical indicatorsMomentumTrend following
SuperMind

This proposed screen targets stocks in the metaverse industry that experienced a limit-up event within the previous 25 days and meet company-quality criteria. The article describes those criteria broadly, including research capability, company scale,…

EquitiesChina marketsEvent-drivenFactor investing
SuperMind

This Chinese equity screening approach combines three technical conditions: daily price amplitude above 1, a positive weekly histogram signal, and the 20-day moving average above the 120-day moving average. The stated rationale is that larger amplitude…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This screening method focuses on stocks in the metaverse industry. It selects shares where the KDJ indicator has just formed a bullish crossover and the circulating share count is no more than 5.5 billion. The proposed selection is run before 10 a.m. on each…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-screening article combines three conditions: a 14-period RSI below 65, best-bid volume greater than best-ask volume, and an opening price within five percent of the ten-day moving average. The approach uses RSI as a price-condition filter,…

China marketsEquitiesTechnical indicatorsSentiment
SuperMind

This Chinese stock-screening article describes a rule-based selection method combining daily price amplitude, a weekly moving-average crossover, and circulating market capitalization. It targets shares whose weekly five-period moving average crosses above…

China marketsEquitiesTechnical indicatorsTrend following
SuperMind

This Chinese A-share screening concept selects stocks whose daily high-low range exceeds a stated threshold, excludes stocks that reached the daily price limit the previous day, and ranks the remaining names by individual-stock market heat. The rationale is…

EquitiesChina marketsMomentumSentiment