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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

79,386 documents

MQL5 code base

ATRR is described as an indicator that compares two Average True Range values calculated over different lookback periods. Its two inputs set the periods for the first and second ATR calculations. The intended use is to view the relative behavior of…

Technical indicatorsVolatilityStatistics
Hummingbot docs

These release notes describe updates to Hummingbot, an open-source crypto trading platform. Trading-relevant changes include market-order support on selected exchange connectors, new exchange and blockchain integrations, and example scripts for equal-weight…

CryptoArbitragePortfolio constructionExecution
SuperMind

This note describes a Chinese equity screen combining a minimum daily high–low range, consistently strong return on equity, and a ranking based on net large-order activity. The intended rationale is to find companies with a track record of profitability and…

EquitiesChina marketsFactor investingVolatility
MQL5 code base

The indicator marks bullish gaps with upward arrows and bearish gaps with downward arrows. Traders can set a minimum gap size in points so smaller gaps are ignored. An optional history check can identify gaps that later close, displaying a cross for closed…

Technical indicatorsEquitiesExecution
SuperMind

This post outlines a China-focused equity screen for companies classified in the metaverse sector. It requires a positive close-to-close return and an opening price near the 10-day moving average. The moving-average condition is presented as a way to…

China marketsEquitiesTechnical indicatorsMomentum
BigQuant

This report analyzes the performance and portfolio of a Chinese mixed equity fund managed by Lin Yingrui. It describes the manager’s approach as selecting leading companies in sectors linked to China’s economic transition while adjusting broad asset…

China marketsEquitiesFactor investingPortfolio construction
Amberdata research

The article argues that a US November CPI release may be unreliable because a government shutdown disrupted price collection: October data was not gathered, November collection began late, and some figures relied on carried-forward data. It contrasts the…

CryptoVolatilityMarket microstructurePerpetual futures
SuperMind

This A-share screening proposal looks for stocks with a daily high-low range above 1%, trading volume between 1.5 and 6 times its five-day average, and an appearance on the previous day’s 龙虎榜, a list associated with notable trading activity. The article…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This excerpt argues that investors should study the long-term history of securities rather than overreact to short-term price or earnings changes. It notes that buying and holding diversified equities can deliver market-level results, while beating the…

Risk managementPortfolio constructionEquitiesFixed income
SuperMind

This Chinese A-share screening idea combines turnover between 3% and 12%, three consecutive declining sessions, and exclusion of ST-designated stocks. It proposes selecting the five highest-ranked stocks that hit their daily price limit, with selection…

EquitiesChina marketsTechnical indicatorsBacktesting
MQL5 code base

This Expert Advisor monitors price movement and spreads using two observation windows. Over a user-defined number of ticks, it calculates average pip movement and average spread; it also computes those averages across a specified number of seconds. The EA…

ForexVolatilityMarket microstructureExecution
ProRealCode

The Even Better Sinewave is described as a bounded oscillator for identifying bullish or bearish cycle momentum while filtering price noise. Its construction applies a high-pass stage to price changes, then smooths the result with a low-pass filter. A…

Technical indicatorsStatisticsMomentum
SuperMind

This stock selection idea combines three filters: price amplitude above one, a listing age greater than one year, and a bullish weekly candle whose upward move exceeds the prior candle’s downward move. The weekly candle condition is intended to identify…

EquitiesMomentumTechnical indicatorsChina markets
MQL5 code base

The document describes a semaphore-style trading indicator based on Average True Range. A signal appears when ATR begins to rise after having fallen, so the indicator is designed to mark a change in volatility rather than a stated directional forecast. Its…

Technical indicatorsVolatility
FMZ forum

This article argues that trading volume cannot be interpreted through a fixed rule that rising prices must come with rising volume. It recommends judging volume relative to the prior price and volume trend, market setting, and position within a move, with…

EquitiesTechnical indicatorsMarket microstructureStatistics
SuperMind

The document outlines a premarket stock screen for Chinese equities. It selects stocks with MACD above the zero line, excludes those that closed at the daily limit on the previous trading day, and ranks the remaining names by a measure of investor attention.…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This stock selection approach filters for shares with a daily price range above a threshold, at least a year since listing, and a high ranking in large-order net volume. The article frames the range condition as a way to find active stocks, listing age as a…

EquitiesMarket microstructureTechnical indicatorsStatistics
Amberdata research

This market commentary links a decline in US yields and expectations of a possible soft landing with gains in Bitcoin, Ether, and gold. It reviews the coming employment and central bank events, then interprets crypto options activity: traders appeared…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This stock screen selects candidates before each trading day’s open when MACD is above zero, price-to-earnings is positive, and the KDJ indicator has just formed an upward crossover. The article presents MACD as a trend filter, positive P/E as a basic…

EquitiesTechnical indicatorsMomentumBacktesting
SuperMind

This Chinese stock screen combines a daily price-amplitude condition, afternoon large-order net inflow, and year-over-year growth in net profit attributable to the parent company. It specifies profit growth above 20% and no greater than 100%. The article…

EquitiesChina marketsTechnical indicatorsStatistics
SuperMind

This Chinese equity screen combines three short-term filters: price amplitude above 1, a ranking based on large-order net activity, and a 9:25 a.m. gain below 6%. The stated rationale is to identify active, volatile shares whose early move is comparatively…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This Chinese equity screening note combines a price-amplitude threshold with a named candlestick pattern and an exchange-market exclusion. It calls for amplitude above 1, a “Morning Star” pattern associated with Kute Intelligent, and exclusion of…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This note describes a Chinese equity screen combining turnover with a stock-code filter and a recent price condition. It selects stocks whose codes begin with 60 and whose turnover is between 3% and 12%, then ranks candidates by the highest closing price…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This A-share screen selects stocks with a daily range above one percent, a day's low between four and five percent below the previous close, and a rising DEA line. The article presents range and decline as short-term price conditions and DEA movement as a…

EquitiesChina marketsTechnical indicatorsVolatility