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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 Chinese stock-selection approach narrows its universe to metaverse-related companies, then applies a positive institutional-flow condition and a threshold for the ratio of external to internal trading volume. The article’s prose gives a ratio threshold…

EquitiesChina marketsSentimentMarket microstructure
SuperMind

This Chinese equity screen combines current turnover, year-over-year net profit growth attributable to parent-company shareholders, and the previous day’s turnover. It selects stocks with turnover from 3% through 12%, profit growth above 20% and no more than…

EquitiesChina marketsMomentumFactor investing
SuperMind

The document presents a Chinese equity screening idea focused on metaverse-related stocks. Its initial criteria combine a volume ratio between 1.5 and 6 with a stated prior-year return threshold. The post then proposes adding a market-cap floor, a forecast…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This document describes a Chinese stock screen that selects shares with turnover between 3% and 12%, a listing year of 2021, and a MACD value below zero two trading days earlier. It presents the conditions as a way to combine a liquidity filter with a…

EquitiesChina marketsTechnical indicators
SuperMind

This document describes a Chinese stock screen that combines an intraday price range filter with a 15-minute MACD histogram condition, limited to 2021. The accompanying examples implement the filters in indicator and Python workflows. The intended use is to…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This stock screen selects companies with strong money-flow readings, share prices below 12 yuan, market capitalization under 10 billion yuan, and no reported losses. The proposed ranking orders candidates from strongest to weakest by money-flow intensity.…

EquitiesChina marketsMomentumFactor investing
SuperMind

This A-share stock screen combines three technical conditions: a 14-period RSI below 65, MACD above its zero line, and a rising 30-day moving average. The stated rationale is to find stocks with moderate momentum and an upward price trend. The article also…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post describes a stock-selection rule focused on the metaverse sector. It screens for positive returns and prior-day auction turnover above a stated threshold, then proposes adding a positive return over the preceding six months. The rationale is that…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This post outlines an A-share stock screen combining a metaverse-sector classification, positive recent returns, and positive auction turnover. It proposes an additional six-month positive-return filter, and later suggests valuation and trend conditions such…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The document proposes screening Chinese stocks for three conditions: association with the metaverse theme, a rounded chart pattern, and company scale above 200 million yuan. It frames the rounded pattern as a technical signal and company size as a rough…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

The document describes a Chinese stock screen combining a daily amplitude threshold, membership in a robotics concept group, a circulating market value below 10 billion yuan, and an outside-volume to inside-volume ratio above 1.3. It also presents example…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This Chinese equity screen combines a daily amplitude threshold with a prior-day 9:15 matching-price limit-down condition, robot-industry membership, and a circulating market value below 10 billion yuan. The final version adds a price-to-earnings ratio below…

EquitiesTechnical indicatorsChina marketsBacktesting
SuperMind

This stock screen combines a price-range filter with two momentum conditions. It looks for a range above 1%, a contracting negative MACD histogram on a 15-minute chart, and a KDJ value below 20. The document interprets the shrinking negative histogram as a…

EquitiesTechnical indicatorsMomentumMean reversion
SuperMind

This stock screen combines daily price movement with a recent high and a volatility-compression condition. It selects stocks whose intraday range exceeds 1%, whose high is the highest of the current and previous day, and whose Bollinger-band variability is…

EquitiesTechnical indicatorsVolatilityRisk management
SuperMind

This stock screen combines three filters: price amplitude greater than 1, free float no more than 5.5 billion shares, and company size above 200 million. The article interprets the amplitude condition as a way to find more volatile stocks that may suit…

EquitiesVolatilityTechnical indicatorsRisk management
SuperMind

This stock selection method searches the metaverse industry for shares showing simultaneous bullish crossovers in MACD and two moving average pairs: the 5-period average over the 10-period and 20-period averages. It adds a condition that the KDJ indicator…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This Chinese stock screen combines trading activity, thematic classification, market capitalization, and fundamental filters. It seeks stocks with amplitude above 1, elevated same-day control, a robotics association, and circulating market value below 10…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This post describes a Chinese equity screening rule combining a large daily high-low range, at least one strong up day in the recent trading window, and a close above the previous day’s low. The accompanying discussion frames these conditions as filters for…

EquitiesChina marketsVolatilityMomentum
SuperMind

This post outlines a stock-selection idea combining a short-versus-long moving-average trend filter with measures of daily position increases and large-order net flow. The initial logic highlights a positive position-increase share, the product of price…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This post describes a Chinese A-share screening rule that combines daily price range, a newly formed KDJ crossover, and relative volume. Stocks enter a watchlist when the range exceeds the stated threshold and volume ratio falls within the specified band.…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese-language post proposes a stock screen using daily price range, closing price, and the ratio of outside to inside trading volume. Its stated core thresholds are amplitude above 1, close below 20, and outside volume divided by inside volume above…

EquitiesTechnical indicatorsMarket microstructureChina markets
SuperMind

This document describes an A-share stock screen that selects Shenzhen main-board shares with daily price amplitude above 1%, a nonempty outstanding convertible-bond name, positive price-to-earnings ratio below 29.01, and positive price-to-book ratio below…

EquitiesChina marketsFactor investingTechnical indicators