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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
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-language post outlines an A-share stock-selection screen combining a positive MACD condition, rising or diverging moving averages, market capitalization below 10 billion yuan, and positive earnings per share. It also suggests ranking candidates…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock screen combines three conditions: prior-day appearance on an exchange top-trading list, a stated price amplitude threshold, and positive large-order net inflow during the current afternoon. The article presents the combination as a way to find…

China marketsEquitiesMomentumSentiment
SuperMind

This Chinese-language post proposes screening stocks using three conditions: intraday amplitude above a threshold, a high dividend measure for 2019, and a product involving the day's price change and large-order net activity above a threshold. It frames the…

EquitiesChina marketsFactor investingTechnical indicators
SuperMind

This stock screen targets companies classified in the metaverse theme that appeared on the prior day’s trading leaderboard and whose short-term moving averages are ordered upward. The stated formula compares the 5-, 10-, and 20-day simple moving averages,…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This note describes a proposed rebound-oriented stock screen based on a large intraday range, at least one strong daily rise within the past 25 trading sessions, and seven consecutive declining sessions. The rationale is to find volatile shares that have…

EquitiesChina marketsMean reversionVolatility
SuperMind

This note proposes screening stocks associated with the metaverse theme using a rounded-bottom chart pattern and a positive weekly candlestick signal. Its expanded version adds a KDJ condition, a weekly moving-average crossover, a MACD signal, and a measure…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note outlines a China A-share screening idea that combines a metaverse theme classification with positive net buying by major participants during the opening auction and a positive institutional-flow indicator. The intended rationale is to combine a…

EquitiesChina marketsSentimentMarket microstructure
SuperMind

This note describes a mainland China stock screen that selects main-board shares with turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and positive, increasing afternoon net active buying. It presents the…

EquitiesChina marketsMarket microstructureTechnical indicators
SuperMind

This stock selection method combines a prior bar’s percentage amplitude, the number of freely traded shares, and the current close’s position within its high-low range. The stated filters are amplitude above 1, float no greater than 5.5 billion shares, and…

EquitiesTechnical indicatorsVolatilityChina markets
SuperMind

The document describes a stock screen requiring turnover between 3% and 12%, a listing year of 2021, and a positive return. It presents these conditions as a basic selection rule and includes example implementations for screening stocks. The approach…

EquitiesChina marketsBacktestingRisk management
SuperMind

This post describes a China equity screen that keeps stocks with turnover between 3% and 12%, an opening price within roughly 5% of the 10-day moving average of closing prices, and a high ranking by the day’s auction amount. The example implementation…

China marketsEquitiesTechnical indicatorsExecution
SuperMind

This research summary examines ways to improve equity momentum signals in China’s A-share market, where the authors report that reversal has historically been stronger than momentum. It compares conventional momentum with four adaptations: using moving…

China marketsEquitiesMomentumFactor investing
SuperMind

This document presents a stock screen combining three conditions: amplitude above 1, a shrinking negative MACD histogram on a 15-minute interval, and a close above the previous day's low. The rationale is that a large range identifies active stocks, a…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The document describes a Chinese A-share screening approach that selects stocks with RSI below 65 and an external-to-internal trading volume ratio above 1.3. It frames the screen around 2021 data and adds a current-price filter that excludes stocks whose…

EquitiesTechnical indicatorsChina marketsRisk management
SuperMind

This Chinese-language strategy note proposes screening equities with a 14-period RSI below 65, parent-attributable net profit growth between 20% and 100%, and a reversal pattern described as a “wraparound” stock. It frames the setup as a way to find…

EquitiesMean reversionTechnical indicatorsStatistics
SuperMind

This note describes a short-term screen for main-board stocks that combines intraday range, prior-day actual turnover, and a positive move on the current day. The stated criteria are an amplitude above 1, turnover between 3% and 28%, and a daily gain above…

EquitiesMomentumTechnical indicatorsRisk management
SuperMind

This note describes selecting A-share stocks by prior-day trading value above 60 million yuan and references a 2021 stock universe. Its later, expanded rule set adds market capitalization above 10 billion yuan, price-to-earnings below 20, and indicators…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note outlines a daily A-share screen that looks for MACD above zero, a share price below 12 yuan, and turnover between 2% and 9%. The accompanying formula also compares recent turnover readings, while the explanatory text presents turnover as a way to…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note proposes an A-share screen requiring MACD above zero, a share price below 12 yuan, and exactly one limit-up session in the previous 25 days. It describes running the selection before 10 a.m. each trading day. The stated rationale is that a recent…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note describes an A-share stock screen combining a 14-period RSI below 65, a rising MACD signal line (DEA), market capitalization below 10 billion yuan, and no reported loss in the prior fiscal year. Its rationale is to pair modest momentum conditions…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document proposes screening Chinese stocks using price amplitude, market-value concentration, and the gain at the market open. Its initial rule selects stocks with amplitude above a threshold, a stated concentration condition, and an opening gain below…

China marketsEquitiesTechnical indicatorsRisk management
SuperMind

This Chinese stock-selection post proposes screening for shares with RSI below 65, circulating market capitalization between 5 billion and 10 billion yuan, and a candlestick condition described as the Kute Intelligent morning-star pattern. The accompanying…

China marketsEquitiesTechnical indicatorsMean reversion