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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

13 documents

Quantpedia

The document describes a monthly cross-sectional strategy across 22 commodity futures. It calculates each contract’s skewness over the prior 12 months, buys three commodities with the lowest skewness, and shorts three with the highest, using equal weights…

CommoditiesFuturesFactor investingStatistics
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 examines hourly Bitcoin returns and reports that the distribution is uneven, with the strongest economically meaningful positive returns occurring at 22:00 and 23:00 UTC. It proposes a simple seasonality rule: buy Bitcoin at 22:00 UTC and close…

CryptoSpot marketsStatisticsMean reversion
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

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 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 FED Model compares the aggregate equity earnings yield with the yield on long-term government bonds. This strategy estimates the stock market’s next-month excess return with a rolling predictive regression that uses the yield gap as its input. At each…

EquitiesFixed incomeStatisticsBacktesting
Quantpedia

The document describes a monthly equity reversal strategy that conditions recent returns on a fundamental strength score, or FSCORE. The score adds up nine financial statement signals covering profitability, leverage, liquidity, and operating efficiency.…

EquitiesMean reversionFactor investingStatistics
Quantpedia

The document describes a pairs trading strategy using 22 international country ETFs. It normalizes dividend-inclusive total return series, selects the five pairs with the smallest cumulative price distance over a 120-day formation period, then trades them…

Pairs tradingMean reversionEquitiesStatistics
Quantpedia

The document explains why dividend yield alone may miss how companies return cash to shareholders. It defines net payout yield using dividends, share repurchases, and common share issuance, divided by market capitalization. The rationale is that buybacks can…

EquitiesFactor investingStatisticsUS markets
Quantpedia

This document describes a country-level equity value strategy based on Shiller’s cyclically adjusted price-to-earnings ratio (CAPE). At each year-end, it ranks 32 countries by CAPE and invests equally in the least expensive third, provided their CAPE is…

EquitiesFactor investingPortfolio constructionStatistics
Quantpedia

The pre-holiday effect is the reported tendency for equity markets to rise on the final trading session before a holiday. The proposed simple approach holds a broad equity exposure on specified pre-holiday sessions and remains in cash on other days.…

EquitiesEvent-drivenSentimentStatistics