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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 describes a Chinese equity screen that selects stocks with turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and an opening price between the current and previous 10-day moving averages. It presents the…

China marketsEquitiesTechnical indicatorsVolatility
SuperMind

This note proposes screening Chinese stocks for daily amplitude above 1%, circulating market value above 10 billion yuan, and a nonempty name for an outstanding convertible bond. It describes the combination as a way to consider price movement, company…

China marketsEquitiesVolatilityRisk management
SuperMind

This note describes a Chinese equity screen combining daily price amplitude above 1%, a closing price of 18.5 yuan, and at least one limit-up event during 2021. It presents the conditions as a way to find active stocks with a past burst of upward price…

China marketsEquitiesVolatilityMomentum
SuperMind

This article outlines a Chinese stock screen that excludes Beijing-listed shares, requires a daily high-low range above one percent, and selects companies with a 2019 dividend ratio above 25 percent. It offers example formula logic and partial Python code…

EquitiesChina marketsVolatility
SuperMind

This article proposes a Chinese equity screen combining three conditions: membership in the metaverse industry, a positive institutional-flow measure, and private-enterprise status. It presents corresponding formula references and a Python example that…

EquitiesChina marketsSentiment
SuperMind

This Chinese equity screening example combines four conditions: daily price amplitude above 1%, membership in a robotics concept group, circulating market value below 10 billion, and a current high that exceeds the previous day's high and is at least as high…

EquitiesChina marketsBreakoutTechnical indicators
SuperMind

This post describes a Chinese stock screening rule that ranks candidates by trading volume, requires a nonempty name for outstanding convertible bonds, and filters for a 9:25 a.m. gain below 6%. Its rationale is to favor actively traded stocks, include…

EquitiesChina marketsTechnical indicators
SuperMind

The proposed Chinese stock screen first looks for shares with amplitude above 1%, a high equal to the maximum of the current and previous day, and non-ST status. It then applies a five-condition limit-up method: daily gain above 9.5%, turnover above 5%,…

EquitiesMomentumBreakoutTechnical indicators
SuperMind

This stock-selection rule combines RSI below 65 with a circulating market value between 5 billion and 10 billion yuan and ROE above 15% for five consecutive years. It aims to pair a technical condition with company profitability and size filters. The post…

EquitiesTechnical indicatorsFactor investingChina markets
SuperMind

This Chinese stock screen selects shares with price amplitude above 1%, turnover greater than 2% and less than 9%, and no price-limit rise on the previous day. The rationale is to find stocks showing notable movement and market participation while excluding…

EquitiesTechnical indicatorsChina marketsBacktesting
SuperMind

This document proposes a Chinese stock screen requiring a reported position increase above 5%, a daily maximum decline between 4% and 5% in magnitude, and a 20-day moving average above the 120-day average. The intended combination looks for buying activity…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This document outlines a Chinese equity screening rule combining a daily price range of at least 1%, market capitalization below 10 billion yuan, positive net profit, and a weekly MACD reading above zero. It frames the range condition as a way to find more…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document describes an equity screen combining three conditions: at least five overlapping moving averages, a positive price-to-earnings ratio, and 2021 revenue divided by 2018 revenue above 1.1. The moving-average overlap is presented as a sign of…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This A-share screening idea combines three filters: daily amplitude above 1, a daily maximum decline between 4% and 5%, and a nonempty name for an outstanding convertible bond. The explanation frames amplitude as a volatility measure, the decline as a…

EquitiesChina marketsMean reversionVolatility
SuperMind

This document outlines a stock screen combining a positive MACD reading, upward-diverging moving averages, and a revenue ratio comparing 2021 with 2018 that must exceed 1.1. It also mentions using company fundamentals as supporting analysis. The accompanying…

EquitiesTechnical indicatorsMomentumFactor investing
SuperMind

This document describes a technical stock screen that combines amplitude above 1, rising lows, and a close above both the upper Bollinger Band and its middle line. The stated rationale is to identify stocks with recent price strength and a possible…

EquitiesTechnical indicatorsBreakoutChina markets
SuperMind

This document proposes an A-share stock screen requiring amplitude above 1, a shortening negative MACD histogram on a 15-minute chart, and a weekly five-period moving average crossing above the ten-period average. The author frames these filters as a way to…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This document proposes screening stocks using three conditions: a price range threshold, a current high that matches the highest of the current and previous sessions, and a historical dividend payout ratio threshold. It frames the dividend filter as a basic…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This document describes a Chinese A-share screening approach combining daily price movement, a newly formed KDJ crossover, and a ranking based on trading activity. Its stated rationale is that larger intraday ranges may offer more opportunity, a fresh…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language strategy note proposes screening stocks in a metaverse industry group when MACD, KDJ, and DMI indicators produce bullish crossovers together. It also applies a turnover filter. The discussion first gives a broader turnover interval,…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This document describes a stock screen using three conditions: daily amplitude above 1%, closing price below 20, and a rising MACD DEA line. Its referenced screening formula adds a minimum trading-amount filter and looks for DEA to cross above its prior…

EquitiesTechnical indicatorsMomentum
SuperMind

The article explains support vector machines (SVMs) as classifiers that seek a separating boundary between classes. It introduces the geometric intuition of mapping observations into a higher-dimensional feature space, where a nonlinear boundary in the…

Machine learningEquitiesStatisticsBacktesting
SuperMind

This Chinese-language post describes a stock screen for mainland Chinese shares. It filters for turnover between 3% and 12%, excludes Beijing-listed stocks, and selects shares where external trading volume exceeds internal trading volume by a stated ratio of…

EquitiesChina marketsTechnical indicatorsMarket microstructure