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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 note proposes selecting non-ST stocks with turnover between 3% and 12%, a rising DEA signal, and a limit-up move before 10:00. It describes this as a short-term limit-up approach, using the early timing of the price move alongside a trend filter and…

EquitiesTechnical indicatorsMomentumBreakout
SuperMind

This note presents a stock screen for shares with daily amplitude above 1%, an opening price near the 10-day moving average, current volume above 10,000 lots, and a high open. The example formulas define “near” as within 5% of the average and identify a high…

EquitiesTechnical indicatorsVolatilityMomentum
SuperMind

This note describes a short-term stock screen combining turnover rate, recent price performance, and a newly formed KDJ golden cross. It selects stocks with turnover between 3% and 12%, a positive 10-day gain below 35%, and a fresh bullish KDJ crossover. The…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese equity screening proposal selects stocks with a 13-period RSI below 65, first-level bid volume greater than ask volume, and increasing money-flow strength. Its examples calculate a volume-weighted flow measure from the close’s position within…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This article outlines a Chinese equity screening approach that combines price amplitude with recent limit-up activity and a date restriction. It also provides example formula and Python implementations, then proposes adding fundamental analysis, broad market…

EquitiesChina marketsBreakoutMomentum
SuperMind

This document describes a China A-share screening rule that selects stocks with daily amplitude above 1, circulating market value above 10 billion yuan, and a rising 30-day moving average. The author presents amplitude as a proxy for trading activity, market…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

This stock screen selects companies associated with China’s metaverse theme using actual turnover thresholds across two consecutive sessions. It requires prior-day turnover to fall between 3% and 28%, and current-day turnover to fall between 3% and 12%. The…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This Chinese equity screen combines price amplitude above 1, a positive weekly MACD bar, and a 2019 dividend ratio above 25%. The article describes the first condition as selecting volatile stocks, the weekly signal as evidence of upward momentum, and the…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese equity screening proposal combines three conditions: market capitalization below 10 billion yuan, no history of losses, and positive net buying by major investors in the opening auction, alongside a stated threshold for the day’s increase in…

China marketsEquitiesSentimentRisk management
SuperMind

The proposed Chinese equity screen ranks stocks by capital strength, then requires a dividend ratio above 25% for 2019 and more than two limit-up sessions within ten days. The article interprets capital strength and repeated limit-ups as signs of investor…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This document describes a Chinese stock screen using three main conditions: a 14-period RSI below 65, positive afternoon large-order net inflow, and an opening move under 6% relative to the prior close. Its final stated selection logic also ranks stocks by…

EquitiesTechnical indicatorsMomentumSentiment
SuperMind

This article describes a timing rule that uses changes in the gap between short- and long-term moving averages, instead of relying only on their crossover. It defines the gap as the short average minus the long average, then interprets the gap’s expansion or…

EquitiesTrend followingMomentumTechnical indicators
SuperMind

This document presents a Chinese equity screen combining daily amplitude above 1, a rising price bottom, and large-order net inflows above 0.05 for at least three consecutive days. It adds a trend filter requiring the 20-day average above the 250-day…

EquitiesMomentumTechnical indicatorsRisk management
SuperMind

This post outlines a stock-selection screen that ranks shares by trading volume and filters for recent positive returns and a stated concentration condition. It presents volume as a proxy for market money flows and recent gains as a way to find stocks with…

EquitiesMomentumTechnical indicators
SuperMind

This note describes a Chinese equity screen combining a minimum daily high–low range, consistently strong return on equity, and a ranking based on net large-order activity. The intended rationale is to find companies with a track record of profitability and…

EquitiesChina marketsFactor investingVolatility
SuperMind

This post outlines a China-focused equity screen for companies classified in the metaverse sector. It requires a positive close-to-close return and an opening price near the 10-day moving average. The moving-average condition is presented as a way to…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This A-share screening proposal looks for stocks with a daily high-low range above 1%, trading volume between 1.5 and 6 times its five-day average, and an appearance on the previous day’s 龙虎榜, a list associated with notable trading activity. The article…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This excerpt argues that investors should study the long-term history of securities rather than overreact to short-term price or earnings changes. It notes that buying and holding diversified equities can deliver market-level results, while beating the…

Risk managementPortfolio constructionEquitiesFixed income
SuperMind

This Chinese A-share screening idea combines turnover between 3% and 12%, three consecutive declining sessions, and exclusion of ST-designated stocks. It proposes selecting the five highest-ranked stocks that hit their daily price limit, with selection…

EquitiesChina marketsTechnical indicatorsBacktesting
SuperMind

This stock selection idea combines three filters: price amplitude above one, a listing age greater than one year, and a bullish weekly candle whose upward move exceeds the prior candle’s downward move. The weekly candle condition is intended to identify…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

The document outlines a premarket stock screen for Chinese equities. It selects stocks with MACD above the zero line, excludes those that closed at the daily limit on the previous trading day, and ranks the remaining names by a measure of investor attention.…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This stock selection approach filters for shares with a daily price range above a threshold, at least a year since listing, and a high ranking in large-order net volume. The article frames the range condition as a way to find active stocks, listing age as a…

EquitiesMarket microstructureTechnical indicatorsStatistics
SuperMind

This stock screen selects candidates before each trading day’s open when MACD is above zero, price-to-earnings is positive, and the KDJ indicator has just formed an upward crossover. The article presents MACD as a trend filter, positive P/E as a basic…

EquitiesTechnical indicatorsMomentumBacktesting
SuperMind

This Chinese stock screen combines a daily price-amplitude condition, afternoon large-order net inflow, and year-over-year growth in net profit attributable to the parent company. It specifies profit growth above 20% and no greater than 100%. The article…

EquitiesChina marketsTechnical indicatorsStatistics