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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 idea combines three filters: price amplitude greater than 1, the 9:25 price gain below 6%, and revenue in 2021 more than 1.1 times revenue in 2018. It frames the filters as a blend of volatility, a short-term price condition, and…

China marketsEquitiesVolatilityFactor investing
SuperMind

This note describes a Chinese stock screen combining a turnover-rate band of 3% to 12% with year-over-year growth in net profit attributable to parent-company shareholders between above 20% and 100%. It also calls for a “circular arc” indicator shape,…

China marketsEquitiesTechnical indicators
SuperMind

This stock-selection rule combines daily price amplitude above 1, RSI below 65, and revenue in 2021 more than 1.1 times revenue in 2018. The document describes the mix as a way to pair technical conditions with a measure of company growth. Its formula and…

EquitiesTechnical indicatorsMomentumFactor investing
SuperMind

This Chinese stock screen selects shares with turnover between 3% and 12%, an external-to-internal traded-volume ratio above 1.3, and no limit-up close on the previous day. The post describes these criteria as a way to combine liquidity, buying pressure, and…

EquitiesMarket microstructureTechnical indicatorsChina markets
SuperMind

This Chinese stock-selection example combines a technical condition with trading-flow measures. It screens for stocks with RSI below 65, a positive product of percentage price change and the net inflow ratio of very large orders, and positive institutional…

EquitiesTechnical indicatorsSentimentChina markets
SuperMind

This Chinese community post describes an equity screen requiring a price-range condition, circulating market value above 10 billion yuan, and a 9:25 a.m. gain below 6 percent. The rationale is to find larger companies with some price movement while excluding…

EquitiesChina marketsTechnical indicators
SuperMind

This Chinese community post outlines an equity screen combining a price-range condition, five consecutive years of return on equity above 15%, membership in a robotics-related concept group, and circulating market value below 10 billion yuan. It presents the…

EquitiesChina marketsFactor investing
SuperMind

The document outlines a technical stock screen requiring price amplitude above 1%, a high equal to the highest high over two days, and a newly formed KDJ golden cross. It presents these conditions as a way to find stocks with active price movement, recent…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese A-share screening strategy combines a technical condition, a fundamental growth condition, and a market price filter. It selects stocks with RSI below 65, year-over-year growth in net profit attributable to parent-company shareholders above 20%…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese A-share selection screen combines an intraday price-movement filter with size, profitability, and pre-open price-change conditions. It seeks stocks with an amplitude above 1, market capitalization no greater than 10 billion yuan, positive net…

EquitiesChina marketsVolatilityMomentum
SuperMind

This stock screen selects companies in the metaverse industry whose volume ratio is between 1.5 and 6 and whose best bid volume exceeds best ask volume. The article presents the conditions as a way to combine an industry theme with signs of elevated trading…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This stock screen selects Chinese equities whose codes begin with 60, whose intraday high-low range exceeds one percent of the prior close, and whose one-day return is below 2.6% but above negative 5%. The document gives both formula-style conditions and a…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

The document describes a Chinese stock-selection screen combining turnover, order-flow imbalance, and positive returns. Its stated selection logic looks for stocks with turnover between 3% and 12%, an external-to-internal volume ratio above 1.3, and positive…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This stock screen combines three conditions: amplitude above one, a prior-day 9:15 auction matched price at the limit-down level, and an appearance on the prior day’s trading list. The article interprets the filters as capturing volatility, weak market…

EquitiesVolatilityEvent-drivenRisk management
SuperMind

This stock screen selects shares with an amplitude above one, a price average above the five-day moving average, and high current-day auction turnover, retaining the top five by turnover. The article interprets the amplitude filter as a way to find volatile…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This Chinese equity screen combines a positive MACD reading with positive price change and positive large-order net buying. It also limits candidates to companies with market capitalization at or below 10 billion yuan and positive profit. The article frames…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screening strategy selects robot-concept stocks with a turnover rate between 3% and 12%, a circulating market value below 10 billion yuan, and prior-session opening-auction turnover above 0.26. The article suggests the auction activity…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document outlines a daily stock screen that requires price range to exceed one percent of the prior close, a positive price-to-earnings ratio, and a rising 30-day moving average. It interprets these conditions as combining recent trading activity,…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This document describes a Chinese equity screen combining three conditions: membership in the metaverse industry, an arc-shaped price pattern, and a weekly close crossing above its 30-week moving average. It presents the moving-average cross as a way to…

EquitiesChina marketsBreakoutTechnical indicators
SuperMind

The document explains how multi-factor models describe asset returns through factor exposures, factor returns, and asset-specific residuals. It presents Barra as a framework for estimating portfolio risk by combining factor covariance with specific risk, and…

EquitiesFactor investingRisk managementPortfolio construction
SuperMind

This proposed daily Chinese stock screen combines three conditions: an intraday high-low range above 1% of the prior close, at least two limit-up events over the preceding 500 sessions, and positive large-order net inflow during the afternoon. The post…

EquitiesVolatilityMarket microstructureChina markets
SuperMind

This proposed Chinese stock screen focuses on companies classified in the metaverse theme. It requires the current close to be above the five-day moving average and applies a prior-session price-change filter intended to exclude stocks that closed at the…

EquitiesMomentumTechnical indicatorsChina markets