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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
Quantopian lectures
45 documents
Binance API docs
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 note explains why futures markets can offer close substitutes: different exchanges may list contracts linked to similar underlying exposures. It cites oil futures as an example of contracts tied to oil prices. Such alternatives can create potential…

FuturesCommoditiesArbitrageMarket microstructure
Quant Q&A

The document clarifies the role of GARCH in forecasting a time series such as a gas price. GARCH models changing conditional variance, so it is useful for describing and forecasting volatility rather than directly supplying the expected level of a series. A…

CommoditiesVolatilityStatistics
Quant Q&A

The document explains the meaning of an exchange rule that routes a short seller’s delivery notice to the holder of the oldest outstanding long position. Futures positions change hands frequently, so the long who originally traded with a particular short may…

FuturesCommoditiesMarket microstructure
Quant Q&A

The document examines how a bond cash flow projection system might assign market values across long interest-rate scenarios without fully repricing every security each month. It describes a common computational compromise: perform full repricing at spaced…

Fixed incomeCommoditiesRisk managementStatistics
Quant Q&A

The document asks how to combine daily equity curves from strategies trading commodities and currencies, with the goal of maximizing the portfolio Sharpe ratio. The reply points to Modern Portfolio Theory and the Markowitz model, which allocates across…

Portfolio constructionRisk managementCommoditiesForex
Quant Q&A

The document describes two ways to explain daily profit and loss by fully repricing a portfolio as market inputs move from prior-day to current-day values. In the cumulative, or waterfall, method, inputs are changed sequentially and each price change is…

Risk managementDerivatives pricingFuturesCommodities
Quant Q&A

The document explains how principal component analysis (PCA) can reduce the number of risk drivers used to model a commodity forward curve. At each historical observation date, the data matrix has one row per delivery bucket and one column per date; its…

CommoditiesFuturesStatisticsPortfolio construction
Quant Q&A

The document explains why an exchange might introduce an oil futures marker tied to a particular region and time of day. Such a marker can provide an independent reference price that better matches local trading hours; the example notes that the standard…

CommoditiesFuturesMarket microstructure
Quant Q&A

The document asks how a news report inferred a hot-rolled coil steel price of about $650 per ton from U.S. Steel’s forward enterprise value-to-EBITDA multiple of 4.4. It contrasts that implied price with steel futures near $825 per ton at the time, in the…

EquitiesCommoditiesFutures
Quant Q&A

The document explains how oil producers can earn higher profits during supply disruptions even when demand softens. When a supplier exits, the available supply curve shifts left. If demand remains near its previous level in the short run, the market price…

CommoditiesFuturesMarket microstructure
Quant Q&A

The document asks how to summarize long and short positions across commodity delivery months as a single prompt-month-equivalent exposure. Netting contract notionals can hide risk because nearby maturities may react more strongly to price changes than…

CommoditiesFuturesRisk managementStatistics
Quant Q&A

The note asks how the Gibson–Schwartz two-factor commodity model yields a claim’s total expected return as a function of its exposures to spot price and convenience yield risk. The model describes oil spot prices and convenience yield with correlated…

CommoditiesDerivatives pricingStatistics
Quant Q&A

The document explains how to price a commodity forward under a mean-reverting log-price model, then compare Monte Carlo estimates with an analytical forward price. It emphasizes simulating terminal prices under the risk-neutral measure, calculating the…

CommoditiesDerivatives pricingMean reversionStatistics
Quant Q&A

This discussion identifies markets where Asian options may trade actively and where historical prices might be available. It points to options on federal funds futures: because the futures settle against the average effective federal funds rate over a…

OptionsFuturesCommoditiesFixed income
Quant Q&A

The document checks the gross basis formula for a bond eligible for delivery into a futures contract. It defines gross basis as the bond’s clean price less the futures price multiplied by that bond’s conversion factor. It then asks whether this expression…

Fixed incomeFuturesCommodities
Quant Q&A

The scenario pairs a long gold spot position with a short deferred futures contract entered at a higher price. Although the futures premium may appear to offer a locked-in gain, a rise in gold prices creates losses on the short futures position while the…

CommoditiesFuturesRisk management
Quant Q&A

The document explains why operating a gas-fired power plant creates exposure that resembles being long electricity and short natural gas. The plant’s gross margin depends on the electricity price received minus the fuel and emissions costs, adjusted for…

CommoditiesFuturesRisk managementDerivatives pricing
Quant Q&A

The discussion considers derivatives whose payoff combines a weather measure, such as temperature or snowfall, with a financial asset or index. It does not identify a specific contract with the proposed basket payoff. Instead, the answers point to related…

Derivatives pricingCommoditiesFuturesMulti-asset
Quant Q&A

The document discusses how to obtain historical data for European electricity futures and options, prompted by a researcher seeking EEX contract histories for a model. It describes several possible routes: ask the exchange whether it can provide data, seek…

FuturesOptionsCommodities
Quant Q&A

The document examines a long-horizon commodity-price simulation based on geometric Brownian motion, with drift and volatility estimated from historical log returns. It asks whether averaging many simulated paths offers a forecast and how the distribution…

CommoditiesStatisticsRisk managementBacktesting
Quant Q&A

The document asks how implied volatility across strikes should behave for electricity options. It describes differing possibilities, including a convex smile and a skew with higher volatility at elevated strikes. The replies discuss German electricity market…

OptionsVolatilityCommoditiesDerivatives pricing
Quant Q&A

The document explains how a netted position can show a larger percentage change than its gross component exposures. It uses a crude-oil curve spread: one maturity is short and another is long, leaving a small net exposure compared with the combined gross…

CommoditiesFuturesRisk managementMarket microstructure
Quant Q&A

The document explains the setup behind a pricing equation for contingent claims whose value depends on both a commodity spot price and a stochastic convenience yield. The yield follows mean-reverting dynamics, and its shocks are correlated with spot-price…

CommoditiesDerivatives pricingRisk management