Skip to content

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

12,140 documents

SuperMind

This Chinese equity screen selects stocks with turnover between three and twelve percent, at least one limit-up event in the preceding twenty-five days, and a 2019 dividend ratio above twenty-five percent. The article includes indicator logic and sample…

China marketsEquitiesMomentumFactor investing
SuperMind

This Chinese equity screen combines four filters: daily amplitude above one, exclusion of ST-designated stocks, selection before 10 a.m., and a recent five-session closing high. It also requires the current close to exceed the prior five-, ten-, and…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese equity screening note selects stocks with turnover between 3% and 12%, codes beginning with 60, and a newly formed KDJ golden cross, where the K line moves above the D line after being below it. The stated rationale combines a turnover filter…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This note introduces the Wave Period Oscillator (WPO), drawing on an article about time-cycle oscillators. It describes the indicator as a short-term measure of buying and selling periods within price cycles. When the oscillator crosses above zero, the…

Technical indicatorsMomentumTrend followingRisk management
SuperMind

This stock-screening idea combines a daily price-range filter with a weekly moving-average condition. It seeks shares whose high-to-low range exceeds one percent, whose weekly five-period average crosses above the ten-period average, and whose moving…

EquitiesTechnical indicatorsMomentumRisk management
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
BigQuant

The article describes five intraday equity patterns and offers rules for interpreting price relative to the opening price, the intraday average-price line, volume, and recent swing highs and lows. It treats an early spike and pullback that holds above the…

EquitiesTechnical indicatorsMomentumRisk management
MQL5 code base

This document describes an alert layer for an XRSI candle and zero-line indicator. It can notify the user when the indicator crosses the zero line, when candle direction changes, when an overbought or oversold threshold is crossed, or when the indicator…

Technical indicatorsMomentum
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

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

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 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
Stratmill research code

This note proposes screening Chinese metaverse-sector equities using two signals: rank by the day’s opening-auction value and retain the leading five, then require at least two limit-up events within a stated 500-day lookback. It includes platform-specific…

EquitiesMomentumChina marketsMarket microstructure
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 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
BigQuant

This paper compares machine learning methods for forecasting equity returns across the market time series and the cross section of stocks. It frames risk premium measurement as a prediction problem and describes how high-dimensional predictors,…

EquitiesMachine learningStatisticsBacktesting
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 post proposes screening Shenzhen main-board stocks for daily price amplitude above one percent, a newly formed KDJ golden cross, and specified price-to-earnings and price-to-book ranges. It describes the crossover as a possible sign of improving…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post outlines a Chinese equity screen that ranks stocks by funding strength, looks for a weekly five-period moving average crossing above a ten-period average, and filters for an opening gain below six percent at 9:25. The proposed rationale is to…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This stock-screening proposal looks for shares with an amplitude measure above 1, three technical indicators said to have bullish crosses, and three consecutive declining closes. Its sample Python logic approximates the multiple-cross condition with the 5-,…

EquitiesTechnical indicatorsMomentumBacktesting