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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

12,140 documents

ProRealCode

The document outlines a way to weight stock positions using a momentum signal and an estimate of volatility. It describes two alternatives: an exponentially weighted moving average based on squared returns, and a Yang–Zhang variation of Garman–Klass…

EquitiesMomentumVolatilityPosition sizing
SuperMind

This post proposes an equity screen combining daily range above a threshold, rising lows, and price above its five-day moving average. Its expanded version adds a longer-term trend check using the 20-day and 250-day averages, valuation limits, market-cap…

EquitiesTechnical indicatorsMomentumTrend following
SuperMind

This post describes a short-term stock screen combining three prior-day conditions: price amplitude above 1%, appearance on the market’s named trading list, and turnover above 8%. The rationale is to find shares with notable movement and active trading,…

China marketsEquitiesTechnical indicatorsMomentum
BigQuant

This Chinese-language course description presents limit-up stock counts as a way to identify active areas of the China equity market. It proposes comparing counts across market capitalization, sectors, and industries, using recent industry counts to locate…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This document describes a short-term stock screen using three conditions: daily amplitude above a threshold, a high daily control measure, and a positive product between price change and net flow from very large orders. Its refined version also restricts…

EquitiesMomentumTechnical indicatorsExecution
SuperMind

This proposed equity screen selects stocks with amplitude above 1, an RSI below 65, and prior-day turnover above 60 million. It combines a price-range measure with a momentum oscillator and a liquidity threshold, aiming to find stocks with activity while…

EquitiesTechnical indicatorsMomentumVolatility
MQL5 code base

The document introduces the DecisionPoint Price Momentum Oscillator, originally developed by Carl Swenlin, and describes a comparison approach attributed to Vitali Apirine. The method applies the oscillator to compare the relative momentum of two securities.…

Technical indicatorsMomentumStatistics
SuperMind

This Chinese equity screening rule ranks stocks by capital strength and requires more than two limit-up days in the past ten days. It also requires a nonempty name for an outstanding convertible bond. The article explains these conditions as signs of…

EquitiesMomentumChina marketsTechnical indicators
SuperMind

This research summary reviews six studies on industry rotation and index enhancement in China. Its multi-factor framework considers expected and historical fundamentals, price and volume information, market leadership, and system-risk concentration. It…

China marketsEquitiesFactor investingMomentum
SuperMind

The document proposes a Chinese equity screen requiring MACD to be above zero, the DEA signal line to be rising, and the ten-day return to be positive but below 35%. It presents the indicators as a way to identify favorable short-term trend conditions while…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The document describes a Chinese equity screening rule combining three filters: turnover between 3% and 12%, a positive ten-day return below 35%, and year-over-year growth in net profit attributable to parent-company shareholders above 20% and at most 100%.…

EquitiesMomentumFactor investingChina markets
SuperMind

This article outlines an equity screen combining membership in the Metaverse theme, positive net buying by large participants during the auction, and a moving-average trend condition. Its formula expresses the trend condition as the 30-day average above the…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note presents a short-term Chinese equity screen based on daily price range greater than 1, volume above 10,000 lots, an opening price above the previous close, and a reported increase in positions of at least 5%. It frames range, volume, and the…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This note describes a short-term screen for Chinese equities associated with the metaverse theme. It combines a user-defined arc-shaped price pattern with current volume above 10,000 lots and an opening price above the previous session’s high. The article…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

The document describes a chart indicator that combines the Commodity Channel Index (CCI) with overbought and oversold (OBOS) levels and a trend-direction filter. It marks a candle when CCI crosses an OBOS boundary in the direction aligned with a bullish or…

Technical indicatorsMomentum
SuperMind

This proposed stock screen looks for prior-session amplitude above the stated threshold, an opening price within a narrow band around the 10-day moving average, and a rising K value in the KDJ indicator that remains below its ceiling. The explanation treats…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This proposed equity screen selects stocks with MACD above zero, positive net profit, and a rounded price-recovery pattern. The document interprets positive MACD as evidence of an upward trend, profitability as a basic quality check, and the rounded shape as…

EquitiesTechnical indicatorsMomentumTrend following
SuperMind

This stock-selection proposal combines a positive MACD reading, a favorable but undefined company-quality condition, and at least two limit-up events within the stated 500-trading-day lookback. The rationale is that positive MACD suggests an upward trend,…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This A-share stock screen selects candidates before each trading day’s open using three conditions: MACD above zero, price below 12, and RSI below 65. The document presents the rules as a technical filter intended to combine a positive trend signal with a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post outlines a China A-share screening approach focused on companies classified in the metaverse industry. Its final version combines a volume ratio between 1.5 and 6, market capitalization above one billion yuan, a top-100 relative-strength ranking,…

EquitiesChina marketsMomentumTechnical indicators
ProRealCode

The Absolute Strength Histogram estimates buying and selling pressure by calculating separate bull and bear series, smoothing both, and plotting the absolute difference as a histogram. Its calculation can use RSI-style price changes, a stochastic range…

Technical indicatorsMomentum
SuperMind

The document proposes a stock screen for companies in the metaverse industry. It selects stocks whose opening price is near the 10-day moving average and whose latest close is above the previous close. It gives two implementations: a formula using industry…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This proposed daily screen targets stocks in the metaverse industry whose KDJ lines have just crossed upward and whose company has an outstanding convertible bond. It specifies screening before 10 a.m. and selecting stocks for that day’s trading. The…

China marketsEquitiesTechnical indicatorsMomentum