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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
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

22,592 documents

SuperMind

This Chinese A-share screening idea combines a relative strength index threshold, a price-change and large-order-flow condition, and a Bollinger Band location. It selects stocks with RSI below 65, a positive product of percentage change and a measure of net…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

The article outlines a short-term stock selection approach for Chinese A-shares based on market attention and capital flows. It recommends tracking sectors with many limit-up stocks and sustained participation, then waiting for signs that the theme persists…

EquitiesChina marketsMomentumSentiment
SuperMind

This post outlines a stock screen using an increase-in-position ratio above 5%, a close above the prior day’s low, and a moving-average trend filter. The rationale is that rising reported buying activity and a recovery above the previous session’s low may…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This post proposes selecting Chinese stocks whose MACD is above zero, that meet an unspecified company-type criterion, and that recorded a limit-up event within the previous 25 days. Positive net profit also appears in the cited screening formula and…

EquitiesChina marketsMomentumBreakout
SuperMind

This post describes a short-term A-share stock screen combining daily amplitude above 1, an indication of main-force control on the previous day, positive auction-period buying activity, and combined large and extra-large order buying above 0.7 thousand…

EquitiesChina marketsMomentumMarket microstructure
vn.py community

This forum thread discusses installing vn.py on an Apple Silicon Mac, with a particular focus on launching its CTP gateway. Participants point to the gateway project's installation guidance and identify Python environment conflicts as one possible cause. One…

EquitiesExecutionChina markets
SuperMind

The document proposes a mainland China equity screen that selects main-board stocks with RSI below 65, a daily gain above 1%, and an industry concentration ratio between 20% and 70%. It also describes sorting qualifying stocks by a heat measure. The…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This research digest covers two portfolio topics. The first examines how the timing of book-to-price data affects the Fama–French HML value factor. It says more timely book-to-price measures can improve the use of value and momentum in risk adjustment and…

EquitiesFactor investingPortfolio constructionRisk management
SuperMind

The document presents an equity screening rule that combines daily price range, turnover, and an arc-shaped price condition. It describes selecting stocks with an intraday range of at least 1%, turnover above 2% and no more than 9%, and an arc measure rising…

EquitiesTechnical indicatorsChina markets
BigQuant

The document summarizes a 2019 study that combines two representations of the same stock data to predict prices: numerical time series and images of stock charts. An LSTM extracts temporal patterns from the sequence data, while a CNN extracts visual patterns…

EquitiesMachine learningStatisticsTechnical indicators
SuperMind

This Chinese-market stock screen combines three conditions: RSI below 65, tradable market capitalization between 5 billion and 10 billion yuan, and upward alignment of the 5-, 10-, 20-, and 30-period exponential moving averages. The accompanying Python…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese equity screen combines a daily price range above one percent, a condition intended to indicate main-investor control on the prior day, the product of percentage change and net volume from very large orders exceeding a threshold, and daily volume…

EquitiesMarket microstructureTechnical indicatorsChina markets
SuperMind

This stock-selection rule screens for shares with a daily high-low range above one percent, then restricts the sample to 2021 and requires the opening price to be within two percent of the 10-day moving average of closing prices. The proposed interpretation…

EquitiesTechnical indicatorsVolatilityChina markets
BigQuant

The document describes a daily factor based on the linear-regression slope of a stock’s minute-bar volume during the first 30 minutes of trading. A positive slope represents volume increasing over that window; the suggested interpretation is that early…

EquitiesFactor investingMarket microstructureStatistics
SuperMind

This Chinese stock-selection note proposes screening companies in the metaverse sector that had a limit-up event within the prior 25 days and appeared on the market’s trading activity ranking the previous day. It frames these conditions as signs of recent…

EquitiesChina marketsMomentumBreakout
BigQuant

The document is framed as a single-factor analysis of average trading value over the past 60 trading days. Its substantive material is a factor-analysis workflow configured for Chinese equities: it evaluates a supplied platform feature across the full stock…

China marketsEquitiesFactor investingBacktesting
SuperMind

This Chinese-language article outlines a stock selection screen that combines three conditions: rank stocks by trading-volume strength, require the 9:25 opening move to be below 6% relative to the prior close, and look for a shortening negative MACD…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese equities screen selects stocks with turnover between 3% and 12%, a 2021 listing year, and an amplitude measure greater than 1. The article interprets the turnover band as selecting relatively active shares, the listing-year filter as targeting…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This Chinese-language post proposes a stock screen using three conditions: daily price amplitude above 1%, tradable share count no greater than 5.5 billion shares, and price above its 30-day moving average. It presents amplitude as a way to find more…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equities screening rule combines three filters: turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and a buy-side to sell-side volume ratio above 1.3. The article presents turnover as a measure of trading…

EquitiesTechnical indicatorsMarket microstructureRisk management
SuperMind

This Chinese-language post presents a stock screening idea based on three conditions: amplitude above 1, a K-line value below 20, and the opening price near the 10-day moving average. It then gives a more detailed indicator example using a curved-line…

EquitiesTechnical indicatorsChina markets
SuperMind

This document describes a Chinese stock screening rule that selects shares with daily amplitude above 1%, a listing history longer than one year, and a volume ratio between 1.5 and 6. It explains the intended rationale: larger ranges may indicate active…

EquitiesTechnical indicatorsStatisticsChina markets
SuperMind

This Chinese stock-selection strategy combines three filters: daily amplitude above 1, an opening price near the ten-day moving average, and parent-attributable net profit growth above 20% and no more than 100%. The note interprets the amplitude as a sign of…

China marketsEquitiesTechnical indicatorsFactor investing
SuperMind

This note describes a Chinese equity screen requiring RSI below 65, circulating market value between 5 and 10 billion yuan, and a ratio of external to internal trading above 1.3. It presents the combination as a way to blend a short-term momentum or…

China marketsEquitiesTechnical indicatorsMarket microstructure