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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

79,386 documents

MQL5 code base

This brief note describes a higher-timeframe variant of the ColorMFI_X20 indicator. Its main feature is an input that lets the user choose the timeframe used for the indicator’s calculations, with a four-hour period shown as the default. This allows the…

Technical indicatorsEquities
MQL5 code base

Wave Weis Bar Force is a volume indicator based on Weis wave analysis. It accumulates volume as long as the market direction remains unchanged, then starts a new accumulation when direction shifts. The indicator grades a wave’s intensity by comparing its…

Technical indicatorsMarket microstructureVolatility
BigQuant

This article outlines an asset allocation method that combines risk parity with the Black-Litterman framework. Risk parity portfolio weights serve as prior weights, which are used to infer prior expected returns. Short-term momentum views are then…

Multi-assetPortfolio constructionMomentumRisk management
SuperMind

This Chinese stock screening note describes a selection rule based on price amplitude, opening auction value, and the previous session’s actual turnover. The initial screen looks for amplitude above 1, ranks stocks by current auction value, keeps the top…

EquitiesChina marketsTechnical indicators
SuperMind

This stock screen selects companies listed in 2021 whose ten-day price change is positive but below 35%, while turnover falls between 3% and 12%. The article frames the filters as a way to find stocks with recent gains and constrain the screen to a specified…

EquitiesChina marketsMomentumTechnical indicators
BigQuant

This article explains how to model multi-stock trading as a Markov decision process and train a deep deterministic policy gradient (DDPG) agent with FinRL. The state includes prices, holdings, and cash; actions change holdings through buying, selling, or…

EquitiesChina marketsMachine learningBacktesting
MQL5 code base

This brief note describes an indicator that plots price speed and acceleration, with an option to smooth the calculations using the Hull moving average (HMA). Users can also display the values as absolute magnitudes, keeping plotted values above zero. These…

Technical indicatorsMomentum
ProRealCode

This indicator guide divides intraday trading into Asian, London, and New York session windows, including separate New York morning, lunch, and afternoon periods. It marks each window’s high and low as chart zones, then extends prior session levels as pivots…

Technical indicatorsBreakoutExecutionRisk management
BigQuant

This weekly review summarizes Chinese equity market conditions for the week ending April 3, 2020, then presents Haitong Securities’ market timing, factor, industry rotation, and strategy-performance views. Its evidence includes index returns, valuation and…

EquitiesChina marketsFactor investingTrend following
FMZ forum

This introductory guide explains call and put options, the distinction between in-, at-, and out-of-the-money contracts, and key features of China’s 50ETF options, including contract size, exercise style, settlement, and price limits. It emphasizes that…

OptionsDerivatives pricingVolatilityRisk management
BigQuant

This brief BigQuant forum exchange concerns errors in a factor-analysis template when a factor’s coverage falls below the platform’s threshold. One concrete cause is division by zero: the expression using the difference between the high and close prices can…

EquitiesStatisticsFactor investing
vn.py

This guide explains the CTA strategy workflow in VeighNa Fusion, from connecting to the trading gateway and creating a strategy instance to configuring parameters, initializing, starting, and stopping it. Each instance has its own target contract, parameter…

FuturesExecutionRisk managementBacktesting
MQL5 code base

MAMACD combines three moving averages with MACD as a directional filter. Two slower averages use low prices, with periods of 85 and 75, while a five-period average uses closing prices. A trade is opened when the fast average crosses both slower averages;…

ForexTechnical indicatorsTrend followingBacktesting
SuperMind

The document describes a Chinese equity screen that keeps stocks with turnover between 3% and 12% and at least one limit-up event during the previous 25 days, then ranks candidates by individual-stock popularity. It presents the rule as a way to combine…

EquitiesChina marketsMomentumSentiment
MQL5 code base

The document introduces the Phase Change Index (PCI) as a technical indicator intended to identify transitions among consolidation, rising-price, and falling-price phases. It first frames these states in terms of whether prices remain relatively stable, move…

Technical indicatorsTrend followingStatistics
SuperMind

The document describes a Chinese stock selection rule combining three filters: turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and at most 100%, and a prior-day price condition described…

EquitiesChina marketsTechnical indicatorsFactor investing
MQL5 code base

This brief note describes a higher-timeframe variant of the Rj Sliding Range indicator for MetaTrader 5. Its stated feature is an input that lets the user choose the indicator’s chart timeframe; the example default is H4. The note also says the underlying Rj…

Technical indicators
BigQuant

This essay groups purportedly successful stock market participants into six styles: patient traders who wait for rare setups, long-term value investors, specialists focused on one stock, short-term leaders-of-the-hot-sector traders, traders who repeat a…

EquitiesMomentumRisk managementPosition sizing
SuperMind

This post describes a Chinese equity screening rule that combines prior-day price amplitude above 1%, an appearance on the prior day’s Dragon-Tiger list, and turnover between 2% and 9%. It frames the combination as a way to find volatile, actively traded…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This A-share screening proposal combines three conditions: intraday amplitude above 1%, at least five overlapping moving averages, and a gain below 6% at 9:25. Its explanation treats the overlap and amplitude filters as signals of relatively stable price…

EquitiesChina marketsTechnical indicatorsRisk management
BigQuant

The document summarizes a portfolio construction method that translates target macroeconomic factor exposures into asset weights. It considers six factors: equity, real interest rates, credit, inflation, emerging markets, and commodities. A standard linear…

Multi-assetFactor investingPortfolio constructionStatistics
SuperMind

This A-share screening idea selects stocks in the metaverse industry with circulating share capital no greater than 5.5 billion shares and a maximum decline for the day between 4% and 5%. The stated rationale is to find candidates for a possible short-term…

EquitiesChina marketsMean reversionTechnical indicators
SuperMind

This A-share screening proposal combines membership in the metaverse industry with a curved price formation and a control-ratio threshold. It then adds a monthly MACD condition and a long-horizon moving-average crossover. The article describes the screen as…

China marketsEquitiesTechnical indicatorsMomentum