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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

12,226 documents

SuperMind

This note proposes screening Chinese A-share stocks in the metaverse sector using an early-session price condition and enterprise classification. The described rule caps the 9:25 a.m. gain at 6% and adds a selected enterprise type, with high-tech and…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This note describes a Chinese A-share screening rule for stocks in the metaverse sector. It combines a 9:25 a.m. price-gain ceiling of 6% with an RSI reading below 65, aiming to identify stocks with limited early-session gains and a moderate momentum…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screen combines three conditions: RSI below 65, seven consecutive sessions in which the close is below the open, and positive net buying attributed to major participants during the opening auction. The article presents the combination as…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This article outlines a daily stock backtest framework in which a natural-language screening query selects entries. The example framework also allows a maximum number of holdings, a holding-period exit, and optional take-profit and stop-loss thresholds.…

EquitiesBacktestingExecutionRisk management
SuperMind

This note describes a Chinese A-share screen requiring a daily high-low range above 1% of the previous close, a ticker beginning with 60, and a prior-day 9:15 auction match price at the limit-down level. It interprets the range as a volatility filter and the…

EquitiesVolatilityTechnical indicatorsChina markets
SuperMind

This stock-selection proposal filters for amplitude above 1, weekly MACD above zero, and turnover between 2% and 9%. It combines a price-range condition and a weekly trend measure with turnover as a proxy for trading activity and liquidity. The document…

EquitiesTechnical indicatorsMomentumStatistics
SuperMind

This stock screen combines three technical conditions: amplitude above 1, MACD above the zero line, and a newly formed KDJ golden cross. The document interprets amplitude as a sign of price movement, positive MACD as evidence of a favorable trend, and the…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

The post describes a Chinese equity screen that ranks Shenzhen Main Board stocks by capital-flow strength and filters for price-to-earnings ratios from 0 to 29.01 and price-to-book ratios from 0 to 3.11. It presents the valuation bands as a way to find…

EquitiesFactor investingChina markets
SuperMind

This note describes a momentum-oriented stock screen with four conditions: amplitude above 1%, MACD crossing above zero, current volume above 10,000 lots, and an opening price above the previous session’s high. The proposed rationale is that a volatile move,…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese stock-screening note proposes selecting shares with daily price amplitude above 1%, a closing price of exactly 18.5 yuan, and a float of no more than 5.5 billion shares. It presents the screen as a way to find active, volatile stocks with…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This document describes a Chinese equity screen that selects stocks with codes beginning with 60, ranks them by volume ratio, and requires an upward trend in the 30-day closing-price average. The article treats volume ratio as a rough measure of trading…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This document presents a Chinese stock screen focused on companies associated with the metaverse and robotics themes. It filters for a volume ratio within a specified range and limits circulating market capitalization, describing the volume condition as a…

EquitiesChina marketsMarket microstructureRisk management
SuperMind

This document describes a Chinese equity screening rule that selects stocks with amplitude above a threshold, three moving averages in a bullish crossover arrangement, and a rising DEA line. It frames the combination as a way to find relatively strong stocks…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This A-share screening proposal combines a technical condition with two company filters: RSI below 65, year-over-year growth in net profit attributable to the parent company above 20% and no more than 100%, and more than one year since listing. It frames the…

China marketsEquitiesTechnical indicatorsFactor investing
SuperMind

This Chinese A-share screening idea combines a metaverse industry filter with evidence of a recent limit-up session and three rising technical indicators. It proposes checking moving-average, RSI, and MACD-style signals together, then selecting stocks weekly…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This proposed A-share stock screen combines a turnover filter with short- and long-term technical conditions. It selects stocks with turnover between 3% and 12%, a rising DEA reading, and a weekly price moving-average crossover above a 30-week average. The…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This post describes a Chinese stock screen combining daily price range with order-flow and institutional activity signals. Its indicator rules flag a bar whose high-to-low range exceeds one percent of the previous close, then apply measures related to…

EquitiesChina marketsMarket microstructureTechnical indicators
SuperMind

This stock screening post selects companies with daily turnover between 3% and 12%, circulating share float at or below 5.5 billion shares, and a positive price-to-earnings ratio. The stated rationale is to find actively traded stocks with a relatively…

China marketsEquitiesFactor investingRisk management
SuperMind

This stock selection post combines a 14-period RSI below 65 with a price high equal to the highest high over the past two sessions. It further narrows candidates to companies with market capitalization at or below 10 billion and positive profitability…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese stock selection post proposes screening for shares with daily turnover between 3% and 12%, a positive product of the day’s price change and net flow attributed to very large orders, and a listing age exceeding a stated threshold. Its explanation…

China marketsEquitiesTechnical indicatorsMarket microstructure
SuperMind

This note proposes a stock selection rule based on daily price range, the prior ten-day return, and the latest price change. It seeks stocks with a range above 1%, positive but below 35% ten-day appreciation, and a latest change between -5% and 2.6%. The…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This note outlines a stock screen requiring a price range greater than one unit, prior-day turnover above 60 million, and external traded volume more than 1.3 times internal traded volume. The author presents this ratio as an additional market activity…

EquitiesMarket microstructureChina markets
SuperMind

This note describes a Chinese equity screen that selects companies classified in the metaverse industry, whose opening price is near the 10-day moving average, and whose opening auction gain falls within a specified band. Its proposed final version tightens…

EquitiesTechnical indicatorsChina markets