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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 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
Awesome Systematic Trading

This strategy forms a quality score from four accounting measures: accruals, cash flow relative to earnings, debt relative to assets, and return on equity. It favors firms with lower accruals and leverage and higher cash flow and profitability. Stocks are…

EquitiesFactor investingStatisticsPortfolio construction
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
SuperMind

This Chinese equity-screening post combines three dimensions: a 20-day moving average above the 120-day moving average, market capitalization below 10 billion yuan with no losses, and fund-flow strength ranked from high to low. The proposed procedure ranks…

EquitiesTrend followingMomentumRisk management
SuperMind

This post proposes a Chinese equity screen using turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and revenue growth: 2021 revenue must exceed 1.1 times 2018 revenue. It frames turnover and the opening-price condition as…

EquitiesTechnical indicatorsStatistics
SuperMind

This Chinese stock-screening post describes a rule combining daily price amplitude above 1, an indicator of main-force control on the previous day, and a circulating market capitalization between 5 billion and 10 billion yuan. It presents the conditions as a…

EquitiesTechnical indicatorsRisk management
SuperMind

This Chinese-language article proposes an equity screen that selects main-board stocks with RSI below 65 and a daily gain above 1%, then filters by company characteristics such as quality or high growth. It frames the RSI condition as indicating an oversold…

EquitiesTechnical indicatorsMomentumMean reversion
SuperMind

This Chinese equity screening note combines four conditions: MACD above its zero line, a daily gain greater than 1%, membership in the main board, and a 9:25 a.m. price increase below 6%. It presents the first three as directional or market-universe filters…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese stock-screening note proposes selecting non-Star Market shares with daily amplitude above 1 and a rising short-term average pattern. It describes the screen as a way to find volatile stocks showing near-term upward price movement. Its indicator…

EquitiesTechnical indicatorsVolatilityChina markets
SuperMind

The proposed stock screen combines a technical condition with valuation and dividend criteria: select shares with RSI below 65, positive price-to-earnings ratios, and a dividend payout ratio above 25% for 2019. The accompanying rationale treats the RSI…

EquitiesTechnical indicatorsFactor investingRisk management
SuperMind

The document describes a stock screen using daily price amplitude above 1%, data from 2021, and an external-to-internal trading volume ratio above 1.3. It interprets larger amplitude as greater volatility and the volume ratio as a possible indication of…

EquitiesChina marketsVolatilityMarket microstructure
SuperMind

The document proposes screening Chinese equities using three signals: a daily increase in holdings above 5%, a weekly five-period moving average crossing above the ten-period average, and a shortening MACD histogram on a 15-minute chart. It presents these as…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The document proposes screening Chinese stocks for daily amplitude above 1%, observations dated in 2021, and alignment among five moving averages based on 5, 10, 20, 30, and 60 periods. It interprets higher amplitude as greater volatility and moving-average…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

The document describes a simple A-share stock screen using daily amplitude above 1%, a closing price set at 18.5 yuan, and an opening auction change from -2% up to but not including 5%. It presents these conditions as filters for price movement, nominal…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This stock-selection proposal combines a price-amplitude threshold, a KDJ condition with K below 20, a market-value ceiling of 10 billion yuan, and a requirement for positive profits. The rationale is to find smaller companies with substantial price movement…

EquitiesTechnical indicatorsMean reversionFactor investing
SuperMind

This stock screen combines a daily price-range condition, a weekly MACD condition, and a profitability filter. It seeks shares with an amplitude above 1, weekly MACD above zero, and return on equity greater than 15% in each of the previous five years. The…

EquitiesTechnical indicatorsFactor investing