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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

The document proposes an A-share stock screen combining daily price amplitude, a specified share-price level, and a weekly close above its 30-week moving average. It presents the rules as a way to combine volatility, a price filter, and a trend signal. It…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

This A-share screening idea selects stocks with RSI below 65, seven consecutive down days, and an opening move below 6% at 9:25. It combines a technical condition, an extended run of declining sessions, and a limit on the current day's early price change.…

EquitiesTechnical indicatorsMean reversionChina markets
SuperMind

This document outlines an A-share stock screen combining daily amplitude above 1, a share price above its five-day moving average, and a rounded upward price pattern. It interprets higher amplitude as evidence of trading activity and the moving-average and…

EquitiesTechnical indicatorsTrend followingRisk management
SuperMind

The document outlines an A-share stock selection rule that starts with companies reporting no losses, market capitalization below 10 billion yuan, and turnover between 3% and 12%. It then selects firms whose 2019 dividend ratio exceeds 25%, presenting…

EquitiesChina marketsFactor investing
SuperMind

This Chinese equity screening idea selects stocks with price amplitude above 1%, positive afternoon large-order net inflow, and an exclusion for companies categorized in Beijing. The post treats amplitude as a sign of active price movement and the order-flow…

EquitiesChina marketsMarket microstructureTechnical indicators
SuperMind

This Chinese equity screen combines daily price amplitude above 1%, circulating market value above 10 billion yuan, and a ratio of 2021 revenue to 2018 revenue above 1.1. The conditions aim to select stocks with noticeable price movement, larger market…

EquitiesChina marketsFactor investingTechnical indicators
SuperMind

This document describes a Chinese equity screen combining a turnover range, a cap on circulating shares or market value, a minimum current volume, and an opening price above the prior close. The intended rationale is to find liquid, actively traded stocks…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese-language post describes a stock selection screen using three conditions: turnover between 3% and 12%, appearance on the market’s trading leaderboard the previous day, and circulating share count no greater than 5.5 billion. It frames the…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

The document outlines a financial time-series study using returns on the CSI 300 index. It says the analysis applies TGARCH and related derivative models, compares their behavior, and attempts to fit and forecast both prices and volatility. This frames…

EquitiesChina marketsVolatilityStatistics
SuperMind

This post describes a Chinese equity screen that combines three conditions: daily price range greater than one percent, a trading date in 2021, and a nonempty name for an outstanding convertible bond. It provides example implementations in a charting formula…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This Chinese stock-selection post combines three screening ideas: rank stocks by turnover or “fund strength,” rank them by net large-order volume, and require positive but capped gains over the recent ten trading days. It describes turnover as a proxy for…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

This document presents a Chinese stock screening rule that combines a five-period amplitude threshold, a change in a proxy for institutional trading activity, and a newly formed bullish KDJ crossover. The crossover condition requires the J line to move above…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese stock-selection rule combines turnover between 3% and 12% with a rising DEA condition and a KDJ stochastic K reading from 0 to 20. The post describes the low K reading as a possible trough area and treats rising DEA as a sign of improving trend.…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This Chinese equity screen selects main-board stocks linked to the robotics concept, with turnover between 3% and 12%, floating market value below 10 billion yuan, and prior-day trading value above 60 million yuan. It combines a theme classification with…

EquitiesChina marketsTechnical indicators
SuperMind

This stock-selection proposal screens Chinese equities using three conditions: RSI below 65, circulating market capitalization between 5 billion and 10 billion yuan, and turnover between 2% and 9%. It presents the screen as a way to combine a technical…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document introduces the Sharpe ratio as a measure of excess return per unit of portfolio risk, then describes a method for forecasting how that ratio changes over time. It outlines an approach associated with Whitelaw that estimates Sharpe ratios from…

EquitiesChina marketsStatisticsVolatility
SuperMind

This Chinese-language post proposes a short-term stock selection screen using daily amplitude, a measure described as today’s controlling-shareholder change, and a ratio combining yesterday’s turnover with today’s auction volume relative to yesterday’s…

EquitiesChina marketsTechnical indicatorsStatistics
SuperMind

This proposed screen selects main-board stocks using an RSI ceiling, a positive daily gain, and a comparison involving the prior session's opening auction price. Eligible stocks are ranked by auction amount, with the highest-ranked names selected for a small…

EquitiesTechnical indicatorsMomentumExecution
SuperMind

This stock screen combines a daily price-range threshold with MACD conditions and a 15-minute chart signal. It looks for stocks whose intraday MACD histogram bars are getting shorter, alongside a prior MACD reading condition, with the idea that short-term…

EquitiesTechnical indicatorsMomentumStatistics
SuperMind

This A-share screening rule combines a current amplitude threshold with a prior-day signal involving the 9:15 matched price and limit-down conditions. It also excludes Beijing-listed shares and, in the final version, ST-designated stocks. The article…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This A-share screening idea combines three conditions: MACD above zero, positive trailing P/E, and at least one limit-up day within the prior 25 days. It proposes running the screen before each trading session and sorting selected stocks by daily price…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese equity screen filters for stocks in the beverage and alcohol import-export sector, with amplitude above 1 and a positive ten-day return below 35%. The stated rationale is to focus on shares showing price movement and recent gains that have not…

EquitiesChina marketsMomentumTechnical indicators