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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 stock-selection rule combines valuation filters with short-term technical signals. It screens Shenzhen main-board shares for positive price-to-earnings and price-to-book ratios below stated upper bounds, RSI below 65, and a shrinking negative MACD…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This stock-selection idea combines three filters: daily range relative to an average true range measure, a large single-day gain within the recent 25 trading days, and a weekly moving-average crossover intended to identify a longer-term uptrend. The…

China marketsEquitiesMomentumTrend following
SuperMind

This post describes an equity screen requiring MACD to be above its zero line, a two-day high condition, market capitalization below a stated ceiling, and positive net profits over five years. It discusses the rationale for combining a momentum-style…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The post outlines a Chinese equity screening rule that combines metaverse-sector membership, positive institutional flow, and a condition based on rolling 20-period lows and closes. It describes the price condition as a way to find comparatively low prices,…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This Chinese stock-selection note proposes screening for shares with turnover between 3% and 12%, three consecutive declining sessions, and circulating market capitalization above 10 billion yuan. It frames the filters as a combination of trading activity,…

EquitiesTechnical indicatorsMean reversionChina markets
SuperMind

This Chinese equity screening idea combines reported net profit growth, an estimate of current buying interest, and a history of limit-up moves. Its stated criteria require buying activity above 5%, year-over-year net profit growth above 20% and no more than…

EquitiesFactor investingMomentumChina markets
SuperMind

This note describes a Chinese stock selection screen combining daily price range, a history of limit-up moves, and a rising 30-day moving average. It selects shares whose high-to-low range exceeds 1% of the previous close, that recorded at least two…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The document describes a stock screen requiring price amplitude above 1%, turnover greater than 2% and below 9%, and a 2019 dividend payout ratio above 25%. It presents amplitude and turnover as measures of market activity and uses the historical payout…

EquitiesChina marketsFactor investingRisk management
SuperMind

This proposed Chinese mainland equity screen selects main-board stocks with a 14-period RSI below 65, a daily gain above 1%, and turnover between 3% and 12%. The accompanying examples show how to calculate RSI and daily returns, filter for listed shares…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This A-share screening recipe combines three conditions: daily price amplitude above 1%, a nonempty name for an outstanding convertible bond, and return on equity above 15% for five consecutive years. It is intended to pair a price-movement filter with a…

China marketsEquitiesFactor investingRisk management
SuperMind

This note describes an A-share stock screen focused on the metaverse industry. It selects stocks with a volume ratio above 1.5 and below 6, a reversal-pattern measure above 0.5, and market capitalization between 1 billion and 10 billion yuan. The article…

China marketsEquitiesTechnical indicatorsMean reversion
SuperMind

The document describes an A-share stock screen combining three technical conditions: price amplitude above a threshold, MACD below zero two days earlier, and the 20-day moving average above the 120-day average. The moving-average relationship is intended to…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

The document proposes a short-term stock screen combining three conditions: daily amplitude above 1, upward movement or divergence in moving averages, and appearance on the previous day’s 龙虎榜, a list of stocks with notable trading activity. It frames the…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This A-share screening rule requires turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and at least one session with a gain of 10% or more during the previous 25 trading sessions. The document frames these conditions as a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This intraday A-share screen selects non-ST stocks with price amplitude above 1, ranks candidates by the day’s opening auction amount, and keeps the top five before 10 a.m. It also cites a “five-step limit-up” condition, expressed as a sequence of rising…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This A-share screening method combines three price-based conditions: RSI below 65, seven consecutive sessions with down candles, and a positive gain below 35% over the latest 10 sessions. The document explains the intent as filtering for stocks that have not…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This post outlines a Chinese stock screen requiring turnover within a specified band, a daily gain above a threshold, main-board listing, and minimum company size. Its stated rationale is to focus on actively traded stocks that are rising while avoiding very…

EquitiesTechnical indicatorsChina markets
SuperMind

This post describes a stock selection screen for Chinese equities. It selects stocks with a daily high-low range above a threshold, positive afternoon large-order net inflow, and exclusion of the STAR Market. It treats a wide range as a sign of greater price…

EquitiesVolatilityMarket microstructureTechnical indicators
SuperMind

This Chinese equity screen looks for stocks associated with the robotics concept, with daily amplitude above 1%, circulating market value below 10 billion, and a close above the previous session’s low. The article explains the last condition as a possible…

EquitiesTechnical indicatorsChina marketsRisk management
SuperMind

This stock screen combines three conditions: turnover between 3% and 12%, a reversal pattern described as an engulfing move, and a short-term price average above a longer moving average. The accompanying examples outline how to filter for turnover, calculate…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This post describes a Chinese equity screen focused on companies classified in the metaverse theme. It selects shares whose relative volume falls within a specified band and whose MACD DEA line is rising. The post explains the volume condition as a way to…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This post proposes screening Chinese equities using a historical dividend measure alongside price activity: a stated 2019 dividend ratio above 25%, intraday amplitude above 1, and a 9:25 price rise below 6%. It frames the combination as a way to find active…

EquitiesChina marketsFactor investingTechnical indicators
SuperMind

This short-stock-screening strategy selects shares with daily amplitude above a threshold, apparent control by major traders on the previous day, and a high ranking by net large-order volume. The rationale is that amplitude indicates price movement, the…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This equity screening proposal combines a price-amplitude threshold with institutional participation and positive net buying by major participants during the opening auction. Its final stated conditions specify amplitude above 1, institutional participation…

EquitiesChina marketsTechnical indicatorsMarket microstructure