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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

vn.py community

This forum exchange addresses a failed manual source installation of VeighNa, where the user reports that dependencies are installed but running the launcher produces no visible response. The reply explains that the one-click installer includes the packages…

Execution
SuperMind

This proposed Chinese equity screen combines a robotics industry classification with a small circulating market capitalization, a price range condition, and a morning star candlestick pattern. The article presents the conditions as a way to find smaller…

China marketsEquitiesTechnical indicatorsBreakout
MQL5 code base

This document describes a Keltner-based candlestick indicator with an optional breakout display. Its color signals can mark either moves beyond overbought or oversold levels, or breaks through the Keltner channel boundaries, depending on the selected input…

Technical indicatorsBreakout
SuperMind

This A-share screening recipe combines price movement, past limit-up events, and a weekly moving-average crossover. It seeks stocks with an amplitude above 1%, at least two limit-up events within 500 days, and a five-period weekly moving average crossing…

EquitiesChina marketsTechnical indicatorsBreakout
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
MQL5 code base

The Trend Analysis Index is presented as a simple trend indicator attributed to Adam White. It uses four configurable inputs: the moving average period, the moving average calculation method, the period over which trend values are assessed, and the applied…

Technical indicatorsTrend following
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
MQL5 code base

This code excerpt describes two operations used in a cointegration-based statistical arbitrage workflow. The first multiplies each asset’s price series by the corresponding coefficient in a cointegration vector and sums across assets, producing a portfolio…

ArbitrageMean reversionPairs tradingPortfolio construction
SuperMind

This Chinese A-share screening rule selects stocks with turnover between 3% and 12%, a positive product of the day’s price change and net large-order volume, and prior-day trading value above 60 million. The document presents these conditions as a way to…

EquitiesChina marketsMarket microstructureStatistics
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
MQL5 code base

This document describes an Expert Advisor built around the XCCI_Histogram_Vol indicator. It generates a signal when a bar closes after crossing an overbought or oversold threshold. Two threshold levels are associated with separate order identifiers and…

ForexTechnical indicatorsBreakoutPosition sizing
SuperMind

This Chinese stock-selection post proposes screening metaverse-related shares for positive institutional movement and a prior-day price pattern described as main-force control. It presents the conditions as a way to focus on a specific industry, follow…

EquitiesChina marketsSentimentRisk management
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
MQL5 code base

This trading-system description uses simple moving averages with periods of 5, 20, 40, and 60, and specifies EUR/USD on a 30-minute chart. The entry rule is based on the 40-period average crossing the 60-period average: an upward cross opens a long position,…

ForexTrend followingTechnical indicators
SuperMind

This Chinese A-share screening proposal combines a technical condition with earnings growth and a concentration filter. It selects stocks with a 14-period RSI below 65, year-over-year net-profit growth above 20% and no more than 100%, and a stated…

EquitiesChina marketsTechnical indicatorsFactor investing
BigQuant

The paper combines return prediction and portfolio construction in a single neural network, aiming to reduce the decision errors that can arise when forecasts are optimized separately. It compares a model-free network, which learns allocations directly, with…

Machine learningPortfolio constructionRisk managementBacktesting
Amberdata research

This weekly market commentary reviews Bitcoin and Ethereum options ahead of US inflation releases and other macro events. It compares realized and implied volatility with historical ranges, examines the relative volatility of ETH and BTC, and discusses…

CryptoOptionsVolatilityDerivatives pricing
ProRealCode

This document explains a price-overlay indicator that marks supply zones at confirmed swing highs and demand zones at confirmed swing lows. Zone thickness scales with average true range, and the midpoint serves as a point of interest. A zone remains active…

Technical indicatorsVolatilityBreakoutRisk management
Stratmill research code

This introduction explains how cointegration can help create a mean-reverting portfolio from price series that are not themselves mean-reverting. By combining multiple assets with suitable weights, a trader may construct a spread or portfolio whose value…

Mean reversionStatisticsPortfolio constructionPairs trading
SuperMind

This document describes a stock-selection rule that combines a daily high-low range threshold, a recent reversal pattern, and a negative MACD reading from two sessions earlier. It frames range as a volatility filter, the reversal as a possible change in…

EquitiesTechnical indicatorsVolatilityBacktesting
SuperMind

This proposed A-share screen targets metaverse-related stocks with a circulating share count no greater than 5.5 billion and an upward-spreading set of moving averages. The article’s example rules add price, volume, and return conditions: price is…

EquitiesChina marketsMomentumTechnical indicators