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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

12,226 documents

SuperMind

The document presents a short-term Chinese equity screen combining prior-day price amplitude, a maximum tradable share count, and prior-day turnover within a specified band. Its rationale is that price movement may identify trading opportunities, smaller…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This research summary compares linear valuation models with machine-learning methods for estimating the monthly fundamental value of stocks in 17 European countries. It constructs a mispricing signal from the difference between estimated fair value and…

EquitiesMachine learningFactor investingStatistics
SuperMind

The document describes a Chinese equity screen combining daily price movement and trading activity with a profitability filter. It selects stocks with an amplitude above 1, current volume above 10,000 lots, a higher opening price, and return on equity above…

China marketsEquitiesTechnical indicatorsFactor investing
SuperMind

This article describes a daily stock screen for companies classified in the metaverse sector. It looks for a fresh bullish KDJ crossover, requires the stock to have had trading activity in 2021, and limits selection to active stocks before 10:00. It provides…

EquitiesTechnical indicatorsChina markets
SuperMind

This article proposes a short-term Chinese equity screen combining three conditions: amplitude above 1, a prior-day 9:15 indicative match price at the limit-down price, and more than two limit-up days within the past ten days. It says the final candidates…

EquitiesChina marketsMomentumVolatility
SuperMind

This document describes a Chinese A-share stock screen that combines trading activity, a technical trigger, and a capital-flow ranking. It selects stocks with turnover between 3% and 12%, a newly formed KDJ golden cross, and positive price movement, then…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This stock-selection note proposes screening equities for an RSI below a stated threshold, seven consecutive down sessions, and turnover within a specified band. The criteria combine a momentum oscillator, a sustained decline, and a liquidity or…

China marketsEquitiesMean reversionTechnical indicators
SuperMind

The document proposes a Chinese equity screen that combines a prior-day appearance on the market's notable-trading list with a price-range filter and ownership-concentration rankings. Its stated criteria are daily amplitude above 1%, a prior-day notable-list…

EquitiesMomentumStatisticsBacktesting
SuperMind

This brief Chinese-language community discussion asks whether a strategy based on stocks opening with a gap up can remain effective over longer periods. The poster reasons that a gap may reflect meaningful buying demand and asks which momentum factors could…

EquitiesMomentumBreakout
SuperMind

The document presents a Chinese equities screening idea that combines turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and up to 100%, and a price-range condition scaled by a large-order…

China marketsEquitiesFactor investingTechnical indicators
SuperMind

This note proposes a short-term Chinese equity screen that combines daily price amplitude, price above the five-day moving average, and a price-change measure multiplied by a proxy for large-order activity. The intended interpretation is that substantial…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This note describes a Chinese equity screen requiring turnover between 3% and 12%, appearance on the previous day’s Dragon-Tiger list, and a selection period in 2021. It gives example expressions for applying those filters and mentions excluding stocks…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This document outlines a Chinese equity screening idea combining three conditions: membership in the metaverse theme, a positive institutional-flow reading, and a current high that is the highest of the latest two days. It also includes example indicator…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese stock selection strategy filters for turnover between 3% and 12%, a positive product of price change and net super-large-order volume, and a 10-day return between 0% and 35%. The author presents the added 10-day return band as a way to focus on…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This document explains how to trade a cointegrated pair using entry and exit levels produced by a minimum-profit optimization method. It defines a spread from the two asset prices and a hedge coefficient. When the spread falls below the buy threshold, the…

Pairs tradingArbitrageStatisticsExecution
SuperMind

This note describes a Chinese equity screening rule for stocks classified in the metaverse sector. It selects stocks whose latest close is above the previous close and whose current low matches the lowest low over either a 20-session or 30-session lookback.…

EquitiesTechnical indicatorsRisk managementChina markets
SuperMind

The document proposes a Chinese A-share stock screen focused on the metaverse theme. Its initial conditions are yesterday’s turnover above 8% and at least two limit-up events within 500 days. A later version adds a market-capitalization filter, described as…

EquitiesChina marketsMomentumBreakout
SuperMind

This proposed Chinese stock screen selects beverage and alcohol companies with turnover in a stated range and a prior-day signal described as main-force control. The article also supplies platform formulas and a Python example. The code uses industry…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This proposed Chinese equity screen combines a robotics industry classification with a small circulating market capitalization, a price range condition, and a morning star candlestick pattern. The article presents the conditions as a way to find smaller…

China marketsEquitiesTechnical indicatorsBreakout
SuperMind

This A-share screening recipe combines price movement, past limit-up events, and a weekly moving-average crossover. It seeks stocks with an amplitude above 1%, at least two limit-up events within 500 days, and a five-period weekly moving average crossing…

EquitiesChina marketsTechnical indicatorsBreakout
SuperMind

This Chinese A-share stock screen combines a technical condition with fundamental growth and liquidity filters. It selects stocks with RSI below 65, parent-company net profit growth above 20% and no more than 100%, and prior-day trading value above 60…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-selection rule focuses on companies classified in the metaverse sector. It calls for three technical indicators to cross upward simultaneously and constrains recent price change to a band from −5% to 2.6%. The named indicator conditions…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese A-share screening rule selects stocks with turnover between 3% and 12%, a positive product of the day’s price change and net large-order volume, and prior-day trading value above 60 million. The document presents these conditions as a way to…

EquitiesChina marketsMarket microstructureStatistics