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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

4,510 documents

SuperMind

This post proposes a Chinese equity screening rule combining a 14-period RSI between 40 and 65, a ratio of external to internal trading volume above 1.3, concentration below 20%, and market capitalization above 200 million yuan. The author presents the…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This Chinese stock-selection proposal filters for shares associated with the metaverse theme, positive institutional-flow readings, and daily turnover between 3% and 12%. The approach uses thematic exposure and investor-flow direction to identify candidates,…

EquitiesChina marketsSentimentRisk management
SuperMind

This proposed stock screen combines three filters: a 14-period RSI below 65, greater displayed buy-side than sell-side volume, and a specified company type. The document presents RSI as a price-condition filter and the imbalance between the best bid and ask…

EquitiesTechnical indicatorsSentimentMarket microstructure
SuperMind

This article outlines a prototype for automatically collecting after-hours leaderboard data from the Shenzhen Stock Exchange and sending a list of stocks that appear on it. It frames web scraping as a way to reduce manual review of large volumes of exchange…

EquitiesChina marketsEvent-drivenSentiment
SuperMind

This stock-selection idea screens for companies in the Metaverse concept group, with positive net buying attributed to major participants during the auction and a circulating share count no greater than 5.5 billion. The document frames concept membership as…

EquitiesChina marketsMomentumSentiment
SuperMind

This document outlines a proposed A-share screen that excludes Beijing-listed stocks, selects shares whose high-to-low amplitude exceeds 1%, and looks for a prior-day 9:15 matching price equal to the limit-down price. It frames the amplitude filter as a way…

EquitiesChina marketsVolatilitySentiment
ProRealCode

This indicator compares pivot, first resistance, and first support calculated from each candle’s high, low, and close with the corresponding levels from the prior candle. Higher resistance and support are interpreted as bullish; lower levels as bearish. When…

Technical indicatorsSentimentVolatilityBreakout
SuperMind

This Chinese equity screening approach requires the 20-day moving average to be above the 120-day average, the 14-period RSI to be below 65, and positive large-order net flow in the afternoon. The moving averages act as a trend filter, while RSI limits the…

EquitiesChina marketsMomentumTechnical indicators
BigQuant

This review examines whether market, macroeconomic, sentiment, valuation-spread, and momentum signals can forecast equity factor returns. It explains why factor premia can vary as risk compensation, investor behavior, and market frictions change. The…

Factor investingMomentumSentimentBacktesting
Amberdata research

This market commentary examines Bitcoin and Ether options alongside spot prices, macro events, and regulatory news as of April 23, 2023. It discusses dealer gamma, implied volatility, volatility risk premium, term structure, and trading flows. The author…

CryptoOptionsVolatilityDerivatives pricing
ProRealCode

The Volume Accelerated Directional Energy Ratio combines normalized price direction with volume to estimate the strength of buying and selling pressure. Price change is scaled by a recent high-low range and bounded, then multiplied by volume in one of three…

Technical indicatorsMomentumSentimentStatistics
SuperMind

This proposed Chinese stock screen combines a positive MACD reading with a share price below 12 yuan and three consecutive limit-up sessions. The post frames MACD as a trend-strength filter and the limit-up sequence as a sign of market attention and buying…

EquitiesMomentumTechnical indicatorsSentiment
SuperMind

The document proposes a Chinese A-share stock screen combining a relative strength index below 65, a ratio of external to internal trading volume above 1.3, and a share price below 12. It presents the rules as a way to combine a technical condition, a…

China marketsEquitiesTechnical indicatorsSentiment
SuperMind

This Chinese stock-selection idea filters for companies in the metaverse theme whose net major-investor buying during the opening auction is positive and whose KDJ indicator has just formed a bullish crossover. The three conditions combine thematic exposure,…

EquitiesTechnical indicatorsMarket microstructureSentiment
SuperMind

This Chinese equity screen selects main-board stocks with a 14-period RSI below 65, a daily gain greater than 1%, and an increase-in-position share above 5%. The note interprets the position increase as a possible sign of near-term capital inflow and pairs…

EquitiesTechnical indicatorsMomentumSentiment
BigQuant

This Chinese-language research summary assesses whether mainland Chinese equities may be nearing a market bottom using three indicators: northbound investor flows, mutual-fund equity exposure, and a turnover-to-volatility measure. It reports that…

EquitiesChina marketsSentimentStatistics
Amberdata research

This weekly digital asset review combines regulatory and product news with market indicators for Bitcoin, Ethereum, and Solana. It discusses ETF holdings and weekly flows, futures open interest across exchanges, long-short ratios, and funding rates. The…

CryptoFuturesTechnical indicatorsSentiment
SuperMind

This proposed A-share screen combines three filters: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and an upward spread in moving averages. The stated moving-average rule compares the…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The proposed equity screen selects stocks with an RSI below 65, seven consecutive sessions in which the close is no higher than the open, and strong combined large and extra-large buy volume during the opening auction. It combines a momentum indicator, a run…

EquitiesTechnical indicatorsSentimentMomentum
SuperMind

This document proposes a Chinese equity selection rule that filters for daily amplitude above 1 and a control-activity measure above 21, then ranks qualifying stocks by market heat. Its examples refer to a heat index and controlling-shareholder activity…

China marketsEquitiesSentimentTechnical indicators
SuperMind

This Chinese equities screen combines a price-range condition, a rounded price pattern, and ranking by the day’s auction trading value. It proposes selecting the top five stocks by auction value, interpreting that ranking as a sign of current capital…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

The document proposes a screen for Shenzhen main-board stocks using reported buying pressure, valuation, and a historical dividend measure. The stated filters include a daily increase in holdings above 5%, a price-to-earnings ratio from 0 to 29.01, a…

EquitiesChina marketsFactor investingSentiment