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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

79,386 documents

SuperMind

The article describes a Chinese stock-selection rule using an RSI below 65, a stated float-market-cap range of 5 to 10 billion yuan, and a latest close above the previous day’s low. The accompanying code excludes ST shares, obtains daily price data, applies…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This article outlines a Chinese stock screen combining daily price amplitude, a large-order net-volume ranking, and an industry classification related to beverage and alcohol imports and exports. It presents the conditions as a way to focus on volatile…

EquitiesChina marketsMarket microstructureTechnical indicators
SuperMind

The article proposes screening Chinese A-shares for turnover between 3% and 12%, listing in 2021, and non-ST status, then applying a short-term price-strength filter it calls a five-part limit-up method. Its description defines that method as the share of…

EquitiesChina marketsMomentumRisk management
ProRealCode

This document describes two technical indicators built around moving averages, Bollinger Bands, and trend phases inspired by an adoption-cycle concept. The first classifies price conditions into colored states such as bearish, rebound, opportunity, trend…

Technical indicatorsTrend followingBreakoutRisk management
MQL5 code base

The document describes an indicator that displays the current trend using the bar colors of a StepMA stochastic indicator configured for a fixed timeframe. It places colored square markers on indicator lines when the corresponding timeframe’s bar color…

Technical indicatorsTrend following
BigQuant

This report summary explains diffusion indicators as measures of how broadly index constituents participate in an advance or decline. Using the CSI 300 and its constituents, it compares moving-average and rate-of-change versions, equal weighting with…

China marketsEquitiesTechnical indicatorsBacktesting
SuperMind

This Chinese equities screen selects stocks with daily amplitude of at least 1%, turnover above 2% and no more than 9%, and more than two limit-up sessions within the past ten days. The rationale combines price movement, trading activity, and recent market…

China marketsEquitiesMomentumBreakout
MQL5 code base

The Extremum indicator is described as a tool for locating market highs and lows using a volatility corridor calculated over a selected period. Its intended use is to help identify possible entry points around trend reversals and to support systems designed…

Technical indicatorsVolatilityTrend following
SuperMind

This A-share stock-selection screen targets companies assigned to the metaverse industry, with circulating share capital no greater than 5.5 billion shares, and large-order net volume above 0.05 for at least three consecutive days. It interprets sustained…

EquitiesChina marketsMomentumSentiment
BigQuant

The report proposes using Benford’s law, the uneven distribution of leading digits found in many datasets, to study stock minute-volume data. From those statistics, it constructs an “institutional footprint” measure: higher values are interpreted as stronger…

EquitiesStatisticsFactor investingMarket microstructure
MQL5 code base

This MetaTrader indicator marks selected local price tops and bottoms with colored dots. It calculates highs and lows over a configurable period, compares them with the broader trading range, and marks points that meet a significance threshold. The period…

Technical indicatorsForexBreakoutMarket microstructure
SuperMind

This article describes a main-board stock screen that combines a daily turnover range of 3% to 12%, a reversal-style candle condition called a wraparound pattern, and positive net buying attributed to major participants during the opening auction. The author…

EquitiesTechnical indicatorsMomentumChina markets
BigQuant

This study examines how Chinese and US equity markets move together, with a focus on whether movements in one market help explain later movements in the other. It uses Granger causality tests on market returns and volatility, reporting evidence of two-way…

EquitiesStatisticsChina marketsUS markets
SuperMind

This Chinese stock screen combines a turnover band of 3% to 12% with a circulating market value between 5 billion and 10 billion yuan. It then uses a comparison between the latest daily low and the previous day’s low as a short-term price filter. The…

EquitiesChina marketsTechnical indicatorsStatistics
SuperMind

This stock-selection screen targets companies associated with China’s metaverse theme. It filters for prior-day actual turnover between 3% and 28%, market capitalization below 10 billion yuan, and positive earnings per share. The document explains these…

EquitiesChina marketsFactor investingStatistics
BigQuant

This Chinese A-share example builds a daily stock-ranking strategy using LightGBM regression. Its features combine market capitalization, recent price and turnover averages, dividend yield and price-to-earnings ranks, plus two custom factors. The target is a…

EquitiesMachine learningFactor investingPortfolio construction
SuperMind

This Chinese-market stock screen looks for Shenzhen main-board companies with turnover between 3% and 12%, seven consecutive declining sessions, a price-to-earnings ratio above zero and below 29.01, and a price-to-book ratio above zero and below 3.11. The…

EquitiesChina marketsMean reversionTechnical indicators
MQL5 code base

This Expert Advisor combines a moving-average trend indicator with a Momentum oscillator. It can evaluate signals on every tick or only when a new bar appears, and users can select the timeframe used to calculate indicators and read closing prices. Separate…

ForexTechnical indicatorsMomentumRisk management
MQL5 code base

This Expert Advisor trades when the LinearRegSlope_V1 indicator changes color. The signal is evaluated at bar close when the oscillator crosses its signal line, providing a rule-based entry trigger based on a change in the indicator’s direction. The advisor…

ForexTechnical indicatorsMomentumBacktesting
SuperMind

This stock screen selects companies associated with the metaverse theme whose closing price is above the five-day moving average and whose total market value is at least 200 million. It combines a thematic classification with a short-term price condition and…

EquitiesTechnical indicatorsMomentumRisk management
BigQuant

This discussion raises a data-reconciliation question: why historical prices retrieved from a Chinese equity data platform still differ from observed market prices after dividing open, high, low, and close by an adjustment factor. The example queries daily…

EquitiesChina marketsStatistics
SuperMind

This note outlines a Chinese stock screen requiring daily high-low range above 1%, membership in the robot concept category, and a circulating market capitalization below 10 billion yuan. It also excludes stocks that hit the upper price limit on the prior…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This Chinese equity screen selects stocks identified with the metaverse theme, with daily amplitude above 1% and at least two limit-up events within 500 days. The article presents these conditions as a way to find concept stocks with notable price movement…

EquitiesMomentumBreakoutTechnical indicators