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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

12,226 documents

SuperMind

This stock screen combines a capital-inflow measure with two trend filters. It selects A-shares when the day’s increase in holdings exceeds 5%, weekly MACD is above zero, and the 20-day moving average is above the 120-day moving average. The article…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The article argues that markets are uncertain and that technical indicators cannot deliver dependable forecasts by themselves. It makes the broad claim that trend-following indicators may have accuracy below 50%, attributing this to lag and uncertainty, but…

Technical indicatorsStatisticsRisk management
SuperMind

The article presents a Chinese equity screening idea that combines three conditions: MACD above its zero line, a price-change and large-order-flow measure, and the 20-day moving average above the 120-day moving average. It frames the combination as a way to…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This stock-selection note combines three technical filters: daily amplitude above a threshold, a positive weekly MACD histogram, and a close between the middle and upper Bollinger Bands. It characterizes the amplitude condition as a volatility screen, the…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese stock-screening note proposes selecting equities with a 14-period RSI below 65, three consecutive declining sessions, and no limit-up on the previous day. It presents the combination as a way to find technically weaker or less overheated stocks,…

EquitiesTechnical indicatorsChina markets
SuperMind

This Chinese stock-selection idea filters for stocks with turnover between 3% and 12%, displayed buy-one volume greater than sell-one volume, and a rounded price pattern in which a decline is followed by a rebound. The stated rationale is that turnover and…

EquitiesTechnical indicatorsMean reversionMarket microstructure
SuperMind

This Chinese stock-selection post describes a screen for companies associated with the metaverse theme and a rounded price pattern. Its initial rule combines the prior day’s turnover rate with the ratio of current auction volume to the prior day’s volume,…

EquitiesTechnical indicatorsRisk managementChina markets
SuperMind

This stock screen selects companies in the metaverse industry whose share price is above its five-day moving average and that have outstanding convertible bonds. The moving-average condition is intended to retain stocks showing short-term price strength; the…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This stock-selection rule screens for turnover between 3% and 12%, a ratio of outside volume to inside volume above 1.3, and exclusion of China’s Science and Technology Innovation Board. The accompanying implementation also includes a recent volume surge…

EquitiesTechnical indicatorsMarket microstructureChina markets
SuperMind

This stock screen looks for turnover between 3% and 12%, at least one limit-up event in the prior 25 days, and no limit-up on the previous day. The stated rationale is to find liquid, actively followed stocks with a recent strong move, followed by a possible…

EquitiesMomentumBreakoutChina markets
SuperMind

This post describes a Chinese stock selection screen combining daily price movement, a weekly MACD condition, a low nominal share price, and a price-to-earnings filter. Its final stated rules require amplitude above 1, a positive weekly MACD histogram, price…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This document describes a stock-selection rule that combines three signals: daily price amplitude above a threshold, a positive weekly MACD condition, and a positive product of price change and a large-order money-flow measure. It presents the rule as a way…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This post proposes screening Chinese equities for companies with market capitalization below 10 billion yuan, no losses, and share prices below 18.5 yuan. It also suggests ranking candidates by capital-intensity measures such as turnover and volume ratio.…

EquitiesChina marketsFactor investingTechnical indicators
SuperMind

This document describes a Chinese stock selection screen combining beverage and alcohol industry membership, turnover, and a Bollinger Band condition. The stated setup seeks stocks with turnover between 3% and 12% and closing prices between the middle and…

EquitiesChina marketsTechnical indicatorsStatistics
SuperMind

This stock-selection rule screens Chinese equities using three conditions: daily amplitude above 1%, at least two limit-up events in the preceding 500 days, and a 2019 dividend ratio above 25%. The post describes these as signals of strong price action and…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This stock-selection proposal combines three signals: an RSI reading below a stated threshold, the product of price change and net volume from very large orders being positive, and a stock appearing on the prior day’s trading activity list. The article…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This Chinese stock-screening example combines a daily turnover-rate band with reversal-candle and arc-shaped price indicators. Its stated selection formula also filters for market capitalization and an arc-trend reading, while the accompanying explanation…

EquitiesChina marketsTechnical indicatorsStatistics
SuperMind

This article outlines an equity screen requiring RSI below 65, a rising KDJ K value, and turnover between 3% and 12%. Its stated aim is to find stocks with relatively subdued RSI readings, improving short-term momentum, and moderate trading activity. The…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This article describes a Chinese equity screening rule combining a daily high–low range above 1%, a newly formed KDJ bullish crossover, and 2021 revenue more than 1.1 times 2018 revenue. It explains the intended rationale: favor stocks with price movement,…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This SuperTrend variation adapts its ATR multiplier to the ratio of current ATR to a smoothed ATR average, widening bands in relatively volatile conditions and narrowing them when volatility is subdued. It adds an ATR-based cushion beyond the band before…

Trend followingVolatilityTechnical indicatorsMomentum
SuperMind

This document describes a stock-selection screen for Chinese A-shares. It combines daily turnover between 3% and 12%, an opening price within 5% of the ten-day moving average, market capitalization no greater than 10 billion yuan, and positive earnings…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

The document presents a Chinese equity screen combining daily price movement, a nonempty outstanding convertible-bond name, and a sequence of seven declining sessions. It frames the amplitude condition as a measure of volatility, the bond field as a…

EquitiesTechnical indicatorsChina markets