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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 document describes a Chinese equities screen using a daily turnover rate between 3% and 12%, a positive product of price change and large-order net flow, and return on equity above 15% in each of the prior five years. It presents the rule as a…

China marketsEquitiesFactor investingTechnical indicators
SuperMind

This post describes an equity screen for stocks in the metaverse theme. It selects names whose latest price is above the 250-day moving average and whose 20-day moving average is above the 120-day moving average. The first condition places price above a…

EquitiesTrend followingTechnical indicatorsChina markets
SuperMind

This post proposes screening equities for a daily price range of at least one unit, strong return on equity across five years, and a three-candle morning star pattern. The described pattern consists of an advancing candle, a small indecisive or lower candle,…

EquitiesTechnical indicatorsVolatilityFactor investing
SuperMind

This document outlines a MetaTrader 4 Expert Advisor template that retrieves economic calendar events without using a DLL. It describes a basic news-state signal: the EA indicates whether an event falls within a configurable window before or after its…

Event-drivenForexExecution
SuperMind

This Chinese-language post outlines an equity screen that combines daily price movement with company profitability and a short-term price trend. Its initial rules require a price range of at least one unit, return on equity above 15% for five consecutive…

EquitiesFactor investingMomentumTechnical indicators
SuperMind

This Chinese stock-screening post combines a price-amplitude filter with a measure based on the prior day’s turnover and the ratio of current auction volume to prior volume. It selects stocks where that combined measure falls between 0.5 and 2, and which…

EquitiesChina marketsTechnical indicatorsBacktesting
SuperMind

The document presents a Chinese equity screening rule that combines trading activity, short-term price location, and a multi-year profitability filter. It selects stocks with turnover between 3% and 12%, an opening price within 5% of the 10-day moving…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This article revisits volatility in option pricing, focusing on the constant-volatility assumption in Black–Scholes. It considers time-varying stochastic volatility, represents log volatility through a mean-reverting process, and motivates using a rougher…

OptionsVolatilityDerivatives pricingStatistics
SuperMind

This proposed stock screen selects main-board Chinese shares with RSI below 65, a daily gain above 1%, and at least two limit-up moves during the prior 500 days. The article interprets the RSI condition as indicating potential rebound room, the positive…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language note presents a stock screen requiring turnover between 3% and 12%, a three-day decline, and a circulating share count no greater than 5.5 billion shares. It describes the combination as targeting lower-priced or consolidating names…

China marketsEquitiesTechnical indicatorsMean reversion
SuperMind

This Chinese-language note proposes screening stocks with turnover between 3% and 12%, a positive increase in the K value of the KDJ indicator, and no limit-up close on the previous day. It frames the prior-day exclusion as a way to avoid stocks whose recent…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This brief introductory note defines a function as an organized, reusable block of code for carrying out one task or a related set of tasks. It highlights two basic benefits: functions make applications more modular and reduce repeated code. These ideas…

Statistics
SuperMind

This Chinese stock-screening idea selects companies associated with the metaverse theme, requires a positive institutional-flow measure, and filters for a “today control” indicator above 21. The article presents the combination as a way to identify stocks…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This document describes a stock screen requiring turnover between 3% and 12%, a stock code beginning with 60, and a circulating share count no greater than 5.5 billion shares. It presents the turnover band as a liquidity filter and the float limit as a way…

EquitiesChina marketsMarket microstructureRisk management
SuperMind

This document outlines an A-share selection rule combining RSI below 65, an external-to-internal trading volume ratio above 1.3, and association with the metaverse theme. The intended logic is to use RSI as a technical condition, the volume ratio as a…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This document describes a short-term A-share screen using three conditions: daily amplitude above 1, the 9:25 gain below 6%, and today’s position increase ratio above 5%. It frames amplitude as a measure of volatility, the early price change as a short-term…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

The document describes a stock screen combining three conditions: daily price amplitude above 1, the average price above its five-day moving average, and return on equity above 15% for five consecutive years. It presents this as a blend of a short-term…

EquitiesTechnical indicatorsFactor investingChina markets
SuperMind

This post describes a Chinese equity screen that combines daily price amplitude, persistent large-order net volume, and membership in a beverage and alcohol industry group. Its stated intent is to find stocks with active trading and buying pressure for…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This stock selection rule filters for turnover between 3% and 12%, requires the product of the day’s percentage price change and a large-order net-flow measure to be positive, and adds positive institutional net buying as a further condition. The…

EquitiesMomentumSentimentStatistics
SuperMind

The document explains grid trading as a contrarian approach for markets that fluctuate around a reference price. An investor divides capital into units, buys as price falls through grid levels, and sells as it rises, seeking to realize gains from repeated…

Grid tradingMean reversionRisk managementExecution
SuperMind

The document presents a Chinese stock screening rule using price amplitude above 1, a three-consecutive-limit-up condition on the prior day, and MACD above its zero line. It frames amplitude and the recent limit-up streak as signs of active market interest,…

China marketsEquitiesMomentumTechnical indicators
SuperMind

The document describes a Chinese stock screening rule combining three conditions: prior-day price amplitude above 1, appearance on the previous day’s 龙虎榜 (a public list of notable trading activity), and a circulating share count no greater than 5.5 billion…

China marketsEquitiesVolatilityTechnical indicators
SuperMind

The post proposes a Chinese equity screening idea that combines a capital-activity measure, Bollinger Band position, and a high dividend ratio. It describes selecting stocks whose closing prices lie above the middle band and below the upper band, alongside a…

EquitiesChina marketsTechnical indicatorsFactor investing