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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 note proposes a historical stock screen based on five moving averages (5, 10, 20, 30, and 60 days), average turnover over 20 days between 2% and 9%, and the year 2021. Its stated final selection logic adds market capitalization above 1 billion yuan and…

China marketsEquitiesTechnical indicatorsBacktesting
SuperMind

This note describes a stock screen using three stated conditions: amplitude above 1, price below 12, and a dividend ratio above 25% for 2019. It interprets the amplitude threshold as a sign of trading activity, the price filter as a way to find inexpensive…

China marketsEquitiesVolatilityFactor investing
SuperMind

The note proposes screening Chinese stocks for three traits: at least five overlapping moving averages, at least two limit-up days during the prior 500 days, and market capitalization below 10 billion yuan with no losses. It presents the moving-average…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This note describes a short-term equity screen that ranks stocks by relative trading activity and combines that ranking with technical signals. It proposes selecting the top 100 by volume ratio, then looking for a joint bullish setup involving the Bollinger…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note presents a Shenzhen main-board stock screen that combines valuation, price range, and intraday momentum conditions. It selects stocks with price-to-earnings ratios from zero to 29.01 and price-to-book ratios from zero to 3.11, then looks for a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note describes a mainland Chinese equity screen combining three conditions: reported net position increases above 5%, a daily gain above 1% among main-board stocks, and an upward-sloping 30-day moving average. The intended signal is a stock with recent…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This short-term stock screen selects shares with turnover between 3% and 12%, an appearance on the previous day's exchange top-trader list, and first-level bid volume greater than first-level ask volume. The note treats turnover as a measure of trading…

EquitiesChina marketsMarket microstructureExecution
SuperMind

This proposed A-share screen looks for stocks with at least five overlapping moving averages, a 20-day average above the 120-day average, and a 9:25 gain below 6%. The note interprets moving-average overlap as a period of relative price stability and the…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

This A-share stock screen combines intraday amplitude above 1, a 20-day moving average above the 120-day average, and a 9:25 gain below 6%. The moving-average relationship is presented as a trend filter, while the amplitude condition seeks stocks with room…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

This A-share screening rule combines three conditions: intraday amplitude above 1, more than two limit-up sessions within the past ten days, and a 9:25 gain below 6%. The note frames recent limit-up frequency as a sign of short-term trading interest, while…

EquitiesChina marketsMomentumBreakout
SuperMind

This Chinese equity screening proposal combines three conditions: relatively strong trading volume as a proxy for capital interest, positive price-to-earnings ratio, and a shortening MACD histogram on a 15-minute chart. The article interprets positive P/E as…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock selection approach ranks candidates by capital-flow strength, requires more than two limit-up sessions within ten days, and looks for a shortening MACD histogram below zero on a 15-minute chart. The article interprets the histogram change…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese equity screening idea combines three filters: market capitalization below 10 billion yuan, positive net profit in each of the past five years, and RSI below 65 alongside weekly MACD above zero. The article presents the screen as a way to find…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note proposes a Chinese equity screen for companies with market capitalization at or below 10 billion, no losses, daily price range above 1%, and turnover between 2% and 9%. The stated rationale combines stock activity and volatility with a size…

EquitiesChina marketsVolatilityFactor investing
SuperMind

This note describes a fundamental screen based on company market capitalization and avoiding firms with losses. It also recommends considering profitability, growth, industry trends, and policy conditions when judging investment value. A short Python example…

EquitiesChina marketsFactor investingStatistics
SuperMind

This note proposes screening Chinese equities for positive large-order net flow over at least three consecutive days, a 9:25 a.m. gain below 6%, and today’s position increase above 5%. It frames the flow measure as a sign of trading activity and the…

EquitiesChina marketsMarket microstructureMomentum
SuperMind

This note outlines a Chinese equity screen combining a daily price range above 1%, a qualitative preference for sound companies, and a gain below 6% at 9:25 a.m. It also suggests considering profitability, growth, return on equity, market capitalization,…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

The article proposes ranking stocks by fund-strength measures and filtering for companies whose 2021 revenue was more than 1.1 times their 2018 revenue. It presents fund inflows as a possible indicator of market interest and the revenue comparison as a…

EquitiesFactor investingStatisticsChina markets
SuperMind

The proposed screen looks for stocks with a 15-minute MACD histogram described as shortening, an amplitude above 1%, and a share price below 12. The post interprets the narrowing histogram as a possible reversal signal and the amplitude threshold as a way to…

EquitiesTechnical indicatorsMean reversionChina markets
SuperMind

This stock screen combines a turnover range of 3% to 12% with a prior-day appearance on a trading leaderboard and a prior-day indicator described as main-force control. The post interprets turnover as a liquidity or activity filter and leaderboard presence…

EquitiesTechnical indicatorsMarket microstructureChina markets
SuperMind

The screen combines an above-zero MACD condition with a two-day price-high condition and restricts selection to 2021. The post frames positive MACD as a trend filter and the recent high as a way to identify stocks showing upward price action. It also…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The document presents a stock-ranking idea framed around a morning-star pattern and a named stock, but its practical selection logic is primarily to order stocks by a capital-strength score. The suggested score divides a ten-period moving average of closing…

EquitiesStatisticsTechnical indicatorsChina markets