Skip to content

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

610 documents

Machine Learning for Trading

This notebook explains feature construction from data beyond a single asset’s price history. It derives annualized futures roll yield from contemporaneous front and deferred contract prices, and uses three tenors to calculate normalized curve slope and…

FuturesOptionsCarryVolatility
Machine Learning for Trading

This configuration defines a weekly futures research universe spanning equity indexes, government bonds, energy, metals, currencies, agriculture, and livestock. It sets Friday settlement as the decision snapshot and Monday open as the execution point. The…

FuturesMulti-assetCarryMomentum
Machine Learning for Trading

This notebook builds features for a cross-sectional hypothesis: unusually costly long positioning in perpetual futures may precede relative weakness as crowded trades unwind. It transforms funding rates and premium-index data into levels, historical…

CryptoPerpetual futuresCarryBacktesting
arXiv papers

The paper examines how excess returns across risk-premium strategies relate to asymmetric tail risk. It introduces a new definition of skewness and reports that risk premia are strongly associated with tail-risk skewness, while showing little relationship…

Risk managementStatisticsTrend followingCarry
arXiv papers

The paper models the yield strategy of a decentralized stablecoin that combines staked Ethereum with an equal-sized short position in ETH perpetual futures. The matched legs aim to reduce exposure to ETH spot-price changes while earning staking rewards and,…

CryptoDeFiPerpetual futuresCarry
Quantpedia

The document explains a currency carry trade: borrow or short currencies with relatively low central bank rates and hold currencies with relatively high rates, aiming to earn the interest-rate differential. Its simple example forms a universe of 10–20…

ForexCarryRisk managementPortfolio construction
Quantpedia

This document explains a cross-sectional commodity carry strategy that ranks futures by roll returns, buys the strongest contracts, and shorts the weakest. Its simple monthly example equally weights the top and bottom quintiles and holds the positions for…

CommoditiesFuturesCarryFactor investing
Quantpedia

The dollar carry trade uses the average forward discount of a basket of developed-market currencies relative to the US three-month Treasury rate to choose a currency position. If the US rate exceeds the basket’s average forward discount, the strategy goes…

ForexCarryRisk managementBacktesting
Quantpedia

This document presents a foreign-exchange value strategy that uses purchasing power parity (PPP) to compare currencies with estimated fair values. The suggested universe contains 10–20 currencies. Using the latest OECD PPP figure and monthly CPI and…

ForexCarryPortfolio constructionRisk management
Systematic trading blog (Rob Carver)

The document explores whether interest-rate conditions can help tailor CTA allocations across fixed-income futures and trading rules. It proposes meta-prediction: group historical strategy returns by a regime variable, then compare performance across those…

FuturesFixed incomeMomentumCarry