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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

1,414 documents

Quant Q&A

The document presents a question about applying the Johansen procedure to oil and corn price series after unit-root tests suggest both are nonstationary. It shows example eigenvalue and trace test statistics alongside critical values, then asks how to…

CommoditiesStatisticsPairs trading
Quant Q&A

The document distinguishes a futures contract’s price from its value. At initiation, the contract is entered without an upfront payment between the parties, so its value is zero even though its agreed futures price is not. As the market price moves, the…

FuturesCommoditiesDerivatives pricing
Quant Q&A

A student preparing for an exam asks which quantitative risk management topics to review and seeks an accessible online book. The accepted response recommends a book on integrated energy risk management, noting that it introduces core risk concepts in the…

CommoditiesRisk management
Quant Q&A

The document responds to a beginner’s difficulty identifying widely traded ETF symbols by outlining how funds can be grouped into asset classes and investment styles. One answer points to a commercial fund-classification service and gives an example of how a…

Multi-assetEquitiesFixed incomeCommodities
Quant Q&A

The document seeks monthly market capitalization data for a set of equity, commodity, bond, and real estate indices. The intended use is to construct a value-weighted benchmark across asset classes for portfolio optimization and to estimate returns with…

Multi-assetPortfolio constructionFixed incomeEquities
Quant Q&A

The document considers how to price European calls and puts on an underlying that can jump, fluctuates with short-term supply and demand, and tends to lose value over longer horizons. It also raises practical questions about physical delivery and indivisible…

OptionsDerivatives pricingCommodities
Quant Q&A

The document considers whether publishing a technical indicator can reduce its subsequent trading performance. It frames a strategy’s historical results as a mix of genuine alpha and overfitting, with only genuine alpha expected to persist out of sample;…

CommoditiesFuturesMomentumTechnical indicators
Quant Q&A

The document explains how volatility inputs differ when an option expires before its underlying commodity forward settles. It distinguishes options on different forward contracts: a quote for a two-month option on a two-month contract should not…

CommoditiesOptionsVolatilityDerivatives pricing
Quant Q&A

The document discusses how to reduce the risk of trading spurious cointegration by screening candidate assets for economic relationships. It recommends looking for securities with strong ties, such as related commodity benchmarks, a commodity and associated…

Pairs tradingStatisticsEquitiesCommodities
Quant Q&A

The document addresses how to obtain prices for a specific futures contract rather than a continuous series. It uses a wheat contract identified by exchange, delivery month, and year as an example, and asks whether Quandl provides this contract-level data or…

FuturesCommoditiesMarket microstructure
Quant Q&A

The note gives a brief overview of venues and access considerations for power derivatives. Responses mention ICE and NYMEX for over-the-counter power contracts, CME as another derivatives venue for power markets, and Clearport settlements as a place where…

CommoditiesDerivatives pricingMarket microstructure
Quant Q&A

The document asks how to value commodity futures options when an investor has a specific view about the future return distribution: a substantial oil price spike is considered possible over a stated horizon, with the move expected to be brief. The goal is to…

CommoditiesOptionsFuturesVolatility
Quant Q&A

For a European option on the December Brent futures contract that expires earlier, the relevant volatility describes the distribution of that same December contract at the option’s expiry. Under the Black model for futures options, the payoff is determined…

CommoditiesOptionsFuturesDerivatives pricing
Quant Q&A

The document explains cash-settled futures convergence through arbitrage and the contract’s settlement mechanism. In a frictionless example, an investor buys the underlying while shorting a futures contract priced above it. At expiry, the futures cash…

FuturesArbitrageCommoditiesMarket microstructure
Quant Q&A

The document describes a problem in constructing monthly price or cost histories for groups of materials whose membership changes over time. Across roughly 200 groups, each containing from a handful to several thousand materials, purchases are intermittent…

CommoditiesStatisticsPortfolio construction
Quant Q&A

The document asks why model-free implied volatility measures such as VIX are offered for major equity indices and only a small number of individual stocks. The accepted response adds that similar indices also exist for gold, silver, and oil, showing that the…

OptionsVolatilityEquitiesCommodities
Quant Q&A

The document describes a proposed method for turning expiring corn futures contracts into a continuous price or return series. It tracks the nearby and first-deferred contracts and suggests switching between them when open interest in the deferred contract…

FuturesCommoditiesBacktestingMarket microstructure
Quant Q&A

The document describes a pricing problem involving a multi-asset collar on European natural gas and US oil products, with an additional currency conversion because the contracts are denominated in different currencies. The questioner is considering Monte…

OptionsCommoditiesMulti-assetDerivatives pricing
Quant Q&A

The document asks whether a closed-form barrier-option model for a dividend-paying stock can be adapted to FX and commodity futures. Under Black–Scholes assumptions, it describes forward dynamics with zero drift, so the spot-model input can be repurposed by…

CommoditiesOptionsDerivatives pricing
Quant Q&A

The document concerns how to compress a portfolio of long and short commodity forward or futures positions across delivery months into a single front-month-equivalent exposure. The goal is to approximate portfolio profit and loss using that exposure and the…

CommoditiesFuturesRisk managementPortfolio construction
Quant Q&A

The document asks where to obtain inexpensive historical tick data for a futures contract, using NYMEX WTI crude as an example. Its answer explains that data price often reflects whether the feed preserves all reported activity or filters some events. A…

FuturesCommoditiesMarket microstructureExecution
Quant Q&A

The document explains why futures are commonly quoted by their settlement or delivery price rather than by the contract’s present value. It places this convention alongside other market practices, such as quoting bonds by yield and options by implied…

FuturesCommoditiesDerivatives pricingMarket microstructure
Quant Q&A

An airline expects to buy jet fuel later and uses heating oil futures to reduce the risk that fuel prices rise before the purchase. Because the airline is exposed to higher costs if jet fuel rises, it takes a long position in the positively correlated…

CommoditiesFuturesRisk managementPosition sizing
Quant Q&A

The document explains that exchange options, whose payoff exchanges one asset for another, do appear in practice, though listed markets are limited and often less liquid than single-asset options. In commodity futures, a zero-strike spread option can have…

OptionsCommoditiesDerivatives pricing