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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

63 documents

Quantpedia

The document describes a cross-sectional seasonal effect: stocks that performed well in a particular calendar month tend to outperform again in that same month in later years. January is reported as the strongest month, but the pattern is said to extend…

EquitiesMomentumFactor investingUS markets
Quantpedia

The document describes a monthly, long-only strategy that ranks country equity index ETFs by their past returns and holds the strongest markets. It gives a typical lookback range of 10 to 12 months and cites research using a portfolio of leading country…

EquitiesMomentumTrend followingBacktesting
Quantpedia

The document describes an equity factor strategy that tilts a global stock portfolio toward companies whose ESG ratings have risen and away from those whose ratings have fallen. ESG momentum is measured over the prior 12 months, and the portfolio is…

EquitiesMomentumFactor investingPortfolio construction
Quantpedia

Post-earnings announcement drift (PEAD) is the tendency for stocks to continue moving in the direction of an earnings surprise after the announcement. The document describes a quarterly US equity strategy combining two signals: standardized unexpected…

EquitiesMomentumEvent-drivenBacktesting
Quantpedia

This document describes a U.S. equity long-short strategy that first selects firms with the highest annual growth in total assets, then ranks those stocks by momentum. Asset growth uses the change from year t-2 to t-1, with July as the cutoff. Each month,…

EquitiesMomentumFactor investingUS markets
Quantpedia

The document describes a monthly market-timing approach that uses crude oil returns to forecast equity returns. It estimates a regression of equity returns on monthly oil returns, updates the model each month with the latest observation, and compares the…

CommoditiesEquitiesStatistics
Quantpedia

The document describes a monthly strategy that blends momentum across equity factors with a broad market portfolio. It forms fast and slow signals from each factor’s recent one-month and twelve-month returns, ranks signal magnitudes to allocate factor…

EquitiesMomentumFactor investingPortfolio construction
Quantpedia

The document describes a monthly, equal-weighted stock strategy that ranks NYSE, AMEX, and NASDAQ listings by short interest as a share of shares outstanding. It buys the lowest-short-interest decile and sells the highest-short-interest decile. The proposed…

EquitiesMean reversionFactor investingUS markets
Quantpedia

This document describes a monthly equity strategy based on how similar the positive language in companies’ latest 10-K or 10-Q filings is to prior language. It uses a vendor’s cosine-similarity measure, ranks covered stocks into deciles, buys the…

EquitiesSentimentFactor investingUS markets
Quantpedia

The document describes a calendar anomaly in which equity returns have historically been concentrated around the month boundary. The interval runs from the final trading day of one month through the third trading day of the next. A basic implementation buys…

EquitiesUS marketsBacktesting
Quantpedia

The document describes a calendar effect in which U.S. equity returns tend to be unusually strong around scheduled Federal Open Market Committee meetings. It outlines a simple long-only timing rule: hold an S&P 500-linked instrument from the close before a…

EquitiesEvent-drivenUS marketsStatistics
Quantpedia

The document describes a U.S. stock market strategy that sorts companies by market capitalization and then ranks them by return on assets (ROA). ROA is calculated from quarterly income and assets from the prior quarter. The portfolio buys the three highest…

EquitiesFactor investingUS marketsPortfolio construction
Quantpedia

The net current asset value (NCAV) rule compares a company’s current assets, less all liabilities, with its market value; it excludes long-term assets. Graham’s rationale is that a sufficiently large discount may offer liquidation-value protection. The…

EquitiesFactor investingBacktesting
Quantpedia

This strategy selects U.S. listed stocks with the lowest short-interest ratios, equally weights the first percentile of the ranked universe, and rebalances monthly. It uses the long side of the short-interest effect: a low level of shorting may indicate…

EquitiesFactor investingUS marketsMarket microstructure
Quantpedia

The document describes a short-selling strategy in publicly traded soccer clubs. It proposes selling a club’s stock at the close of the business day before an important match, holding the position for one day, and equally weighting positions when multiple…

EquitiesArbitrageSentimentEvent-driven
Quantpedia

The document describes a US equity long-short momentum strategy that selects stocks appearing among recent winners or losers in two overlapping formation windows. It buys stocks ranked in the top decile in both windows and shorts those in the bottom decile,…

EquitiesMomentumFactor investingUS markets
Quantpedia

The accrual anomaly is the observed negative relationship between accounting accruals and subsequent stock returns. The proposed explanation is that investors focus on reported earnings and underweight the distinction between cash earnings and accruals. If…

EquitiesFactor investing
Quantpedia

This strategy identifies equity industries whose estimated alpha relative to the broad market has become statistically significant, interpreting the break as a possible bubble. Using roughly a decade of historical returns, an investor estimates alpha with a…

EquitiesUS marketsStatisticsPortfolio construction
Quantpedia

The document explains the book-to-market factor, which ranks stocks by book value relative to market price. Its basic long-short construction buys stocks with high book-to-market ratios and sells those with low ratios; the described example uses NYSE, AMEX,…

EquitiesFactor investingPortfolio constructionRisk management
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 January Barometer proposes using an equity index’s January return to guide exposure for the remaining eleven months. A positive January signals holding equities; a negative one signals moving to Treasury bills. The document also describes a long-bond…

EquitiesUS marketsBacktestingStatistics
Quantpedia

The document describes the Halloween effect, a seasonal equity timing pattern in which returns have historically been stronger from November through April than from May through October. Its basic rule is to hold global equities during the winter half of the…

EquitiesUS marketsStatistics
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 strategy seeks to reduce conventional momentum’s changing exposure to broad equity factors. It estimates each stock’s monthly residual returns from a regression on the Fama–French three factors, then ranks stocks by standardized residual performance over…

EquitiesMomentumFactor investingUS markets