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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

8 documents

Quantpedia

The document describes a cross-sectional commodity futures strategy based on return asymmetry. It defines an IE measure as the difference between the counts of unusually large positive and negative daily returns, using a rolling 260-day window. At each month…

CommoditiesFuturesFactor investingVolatility
Quantpedia

The low-volatility effect is the reported tendency for lower-risk stocks to deliver stronger risk-adjusted returns than higher-risk stocks. A straightforward implementation ranks stocks by the volatility of their past weekly returns, forms decile portfolios,…

EquitiesVolatilityFactor investingPortfolio construction
Quantpedia

The document describes an overnight SPY approach conditioned on three sentiment and trend signals: SPY above its 20-day moving average, VIX below its moving average, and the Brain Market Sentiment indicator above its 20-day average. When all conditions hold,…

EquitiesSentimentVolatilityUS markets
Quantpedia

The document describes a monthly long-short stock strategy that seeks momentum among large companies by focusing on stocks with high recent volatility. It filters for exchange-listed shares priced above $5, separates stocks by market capitalization, and uses…

EquitiesMomentumVolatilityFactor investing
Quantpedia

Dispersion trading seeks to capture the difference between index and single-stock option volatility risk premia. A basic position sells index options and buys options on constituent stocks. Because the trade is exposed to correlation, it tends to benefit…

OptionsEquitiesVolatilityArbitrage
Quantpedia

The document explains the rebalancing premium as the return potentially gained by periodically restoring portfolio weights. Rebalancing sells assets that have risen relative to the portfolio and buys those that have fallen. A buy-and-hold portfolio instead…

CryptoPortfolio constructionVolatilityBacktesting
Quantpedia

The document explains a strategy that trades the VIX futures basis and hedges broad equity exposure with E-mini S&P 500 futures. It interprets the basis as a volatility risk premium: the cited research finds it forecasts futures returns, even though it does…

FuturesVolatilityMean reversionRisk management
Quantpedia

The document explains why equity index options may carry a volatility risk premium: investors value protection against sharp losses and may pay more for options than subsequent realized volatility justifies. It describes a monthly strategy that sells a…

OptionsVolatilityDerivatives pricingRisk management