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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

22,592 documents

SuperMind

This note proposes ranking stocks from strongest to weakest by a capital-flow-strength measure, then selecting the top N. Its original screening description excludes Beijing-listed A-shares, while its later suggested refinement says to include them to…

China marketsEquitiesSentimentStatistics
SuperMind

This note outlines an A-share screening rule requiring the 20-day moving average to be above the 120-day average, MACD to be above zero, and RSI to be below 65. The moving-average relationship is intended to represent an established price trend, the MACD…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This note describes a Chinese A-share stock screen combining a turnover ratio from 3% to 12%, appearance on the prior day’s trading leaderboard, and a current low below the previous day’s low. The leaderboard condition is used as a proxy for market…

China marketsEquitiesTechnical indicatorsRisk management
SuperMind

This Chinese equity selection concept combines three elements: ranking stocks by capital or trading strength, considering company characteristics, and looking for a shortening MACD histogram below zero on a 15-minute chart. The note associates higher volume…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This Chinese equity screen selects stocks priced below 12 yuan, with a positive return over the previous 10 days that remains below 35%, and a measure of price movement above 1%. The note presents the conditions as a way to combine recent upward movement, a…

EquitiesMomentumTechnical indicatorsRisk management
SuperMind

This Chinese equity screen combines a stated turnover range of 3% to 12% with a reversal, or “recovery,” pattern, while excluding stocks that hit the upper price limit the previous day. The note also includes formula conditions involving price movement,…

EquitiesMean reversionTechnical indicatorsRisk management
SuperMind

This note proposes a Chinese equity screening idea based on five moving averages: 20, 30, 60, 90, and 120 days. It treats convergence of the averages as a possible buy signal, reasoning that it may reflect agreement about short- and medium-term direction. It…

EquitiesTechnical indicatorsTrend following
SuperMind

This stock screen combines a price ceiling, a 20-day moving average above the 120-day average, and a capital-strength ranking based on the volume ratio. The post describes selecting from the top 100 stocks by that measure. It interprets the moving-average…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This proposed stock screen combines three conditions: at least five moving averages overlap, the company meets a chosen ownership-type criterion, and the stock has hit its daily price limit more than twice within ten days. The post interprets moving-average…

EquitiesTechnical indicatorsMomentumBreakout
SuperMind

This stock selection rule ranks candidates by capital strength, retains the five stocks with the greatest auction turnover for the day, and requires the price gain at 9:25 to remain below the stated ceiling. The accompanying explanation treats capital…

EquitiesMomentumMarket microstructureTechnical indicators
SuperMind

This Chinese-language stock screener combines three signals: a shortening green MACD histogram on a 15-minute chart, net buying by large orders during the afternoon, and a daily increase in holdings above the stated threshold. The explanation interprets…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This Chinese stock screening proposal combines three signals: an opening price gain below 6% at 9:25, a high volume ratio, and a high ranking for prior-day net inflows attributed to large market participants. The article describes ranking stocks by volume…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This document presents a historical stock selection rule for Chinese equities: select stocks in 2021 whose 20-day moving average is above the 120-day moving average and whose daily range exceeds 1% of the previous close. The moving average comparison serves…

China marketsEquitiesTechnical indicatorsTrend following
SuperMind

This document describes a Chinese stock screening rule built around trading activity and share supply. Its initial description specifies turnover between 3% and 12%, a circulating share count no greater than 5.5 billion, and a volume ratio above 1.5 but…

China marketsEquitiesTechnical indicatorsRisk management
SuperMind

This short-term stock screen combines turnover, opening price, and recent price direction. It selects shares with turnover from 3% to 12%, an opening price within five percent of the 10-day moving average, and three consecutive declining closes. The…

EquitiesTechnical indicatorsMean reversionRisk management
SuperMind

This stock-screening approach combines price position relative to five moving averages, turnover, and trend. The stated final rules require the closing price to be above the 5-, 10-, 20-, 60-, and 120-day averages, turnover between 2% and 9%, and a rising…

EquitiesTechnical indicatorsTrend followingRisk management
SuperMind

The article outlines a stock-selection screen requiring a reported daily position increase above 5% and weekly MACD above its zero line. It also includes a 2021-related condition in its initial description, but the later proposed final rules omit that…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This short-term equity screen selects stocks whose turnover lies within a specified band, that appeared on the prior day's trading leaderboard, and that had positive pre-open auction turnover above a stated threshold. The document frames the combination as a…

EquitiesChina marketsMarket microstructureHigh-frequency trading
SuperMind

This equity screen combines a range-based volatility condition with a Bollinger Band position: the close must fall between the middle and upper bands. It also applies a historical return requirement, described as favoring stocks with positive past…

EquitiesTechnical indicatorsVolatilityMomentum
SuperMind

The document describes a stock selection screen based on clustering among several moving averages, a specified share price, and a limited price rise by the 9:25 a.m. observation. It argues that these conditions may identify stocks with comparatively stable…

EquitiesTechnical indicatorsChina marketsRisk management
SuperMind

This stock screen starts with Shanghai-listed shares and compares 2021 revenue with 2018 revenue, requiring growth above a stated threshold. Its final proposed criteria add a market-cap range, growth in net profit over the same period, a price-to-earnings…

EquitiesChina marketsFactor investingRisk management
SuperMind

This A-share selection idea combines a circulating market capitalization above 10 billion yuan, more than two limit-up sessions within ten days, and at least five overlapping moving averages. The post describes the limit-up count as a sign of attention and…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This A-share screening recipe combines a reversal pattern with turnover filters. It selects stocks whose current turnover is between 3% and 12% and whose previous-day turnover exceeded 8%, while also requiring a reversal or engulfing-style price pattern. The…

EquitiesTechnical indicatorsMean reversionChina markets