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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
WonderTrader
14 documents
Alphalens
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 describes constructing a synthetic futures price at a target maturity by linearly interpolating between two listed contracts whose expiries fall on either side of that target. The weights depend on how far the target lies between the shorter and…

FuturesCommoditiesStatisticsRisk management
Quant Q&A

The document distinguishes the Samuelson effect’s maturity-related volatility pattern from volatility measured directly on futures price levels. The effect concerns returns volatility: nearby commodity contracts are often more volatile than deferred…

CommoditiesFuturesVolatilityStatistics
Quant Q&A

The document distinguishes precious metals from foreign exchange when describing spot-price dynamics under a risk-neutral measure. In FX, the domestic and foreign interest rates reflect the ability to invest in short-term sovereign instruments in each…

CommoditiesFuturesSpot markets
Quant Q&A

This document asks why a leveraged WTI exchange-traded note and its inverse counterpart appear to trace different slopes during large price moves. One note is described as providing leveraged long exposure and the other as leveraged inverse exposure. The…

CommoditiesVolatilityDerivatives pricing
Quant Q&A

The document compares two descriptions of risk remaining around a commodity futures hedge. It describes “basic risk” as residual exposure after hedging, including the difference between futures and spot prices if a futures position is closed early. The cited…

CommoditiesFuturesRisk management
Quant Q&A

The question describes an energy option that runs across several months. For each month, its strike resets to that month’s first-of-month index, and daily settlements below that level generate a payoff based on the difference. The question asks how to value…

OptionsCommoditiesDerivatives pricing
Quant Q&A

The document asks how the weather derivatives market is organized, how participants share information, and where historical data can be obtained. Its answer is limited: market information is largely not public, and data generally require paid access. It…

CommoditiesDerivatives pricing
Quant Q&A

The document weighs whether investors should include commodities in diversified portfolios. It presents arguments on both sides, noting that asset-allocation products and some institutional portfolios use commodity exposure, while the cited research is not…

CommoditiesFuturesPortfolio constructionMomentum
Quant Q&A

The document describes an exploratory analysis of one-minute XAUUSD log returns over a long historical sample, compared with fitted normal and Student-t distributions. It raises questions about irregular density peaks, a pronounced concentration near zero,…

ForexCommoditiesStatisticsMarket microstructure
Quant Q&A

The document considers a physically settled crop futures contract when the farmer cannot deliver after a natural disaster destroys the crop. The answer explains that the contract remains in force and that failure to deliver can constitute default,…

FuturesCommoditiesRisk management
Quant Q&A

The document addresses where to obtain historical European Union Allowance futures data at intraday frequency for carbon market research. The response points to a commercial market data vendor that offers trade histories and, optionally, quote histories for…

FuturesCommoditiesMarket microstructureBacktesting
Quant Q&A

The discussion addresses a regression intended to explain gold using the VIX, the EUR/USD exchange rate, and a US real-rate index. The model uses ridge regression because its author selected a small, theory-informed set of factors, yet reports an adjusted…

CommoditiesFactor investingStatisticsMachine learning
Quant Q&A

The document examines how storage costs enter a commodity forward price and whether monthly costs should accrue interest. It presents the no-arbitrage principle: a forward should reflect the spot asset and the present value of carrying costs, financed to…

CommoditiesDerivatives pricingFixed incomeArbitrage
Quant Q&A

The document discusses hedging exposure to oil prices with forward contracts and asks whether one contract per asset is automatically the right hedge. The responses emphasize that the appropriate ratio depends on the objective and on how well the forward…

CommoditiesFuturesRisk managementPosition sizing
Quant Q&A

The document asks how to obtain a conditional variance-covariance matrix from an estimated MGARCH-BEKK model fitted to spot and futures price series. It presents a two-asset BEKK-style recursion built from a constant matrix, lagged return residuals, and the…

FuturesCommoditiesStatisticsRisk management
Quant Q&A

The document sets out a Cramér–Lundberg reserve process with constant premium income and Poisson arrivals of Pareto claims whose shape parameter is below one, giving the claims an infinite mean. It notes that eventual ruin then has probability one under the…

StatisticsRisk managementCommodities
Quant Q&A

The discussion considers whether herding can be measured over short horizons, including intraday periods. It summarizes two studies: one examines dispersion in US equity returns around large market moves, while another uses disclosed intraday commodity…

Market microstructureStatisticsEquitiesCommodities
Quant Q&A

The document uses a delta-hedged option approximation to estimate the underlying price move needed to offset one day of time decay. Setting the approximate gamma gain equal to theta decay gives a break-even move proportional to the square root of twice the…

OptionsFuturesCommoditiesVolatility
Quant Q&A

This discussion addresses why a consumer price index can look nearly linear over a selected historical period even though a constant positive inflation rate would compound. It distinguishes an index level from the inflation rate: sustained target inflation…

StatisticsMulti-assetCommodities
Quant Q&A

The document discusses maximum-likelihood estimation for a linear Gaussian two-factor state-space model of commodity prices, using the Schwartz-Smith framework. The observed log price is modeled as the sum of two latent state components plus measurement…

CommoditiesStatisticsMachine learning
Quant Q&A

The document discusses how to assess liquidity in commodity futures, noting that stock-market measures such as volume and the Amivest ratio may not transfer directly to every contract. Suggested indicators include trading volume, bid–ask spreads, order-book…

CommoditiesFuturesMarket microstructure
Quant Q&A

The document explains why exchange-traded futures can be bought and sold as standardized instruments even though individually negotiated forwards may carry different delivery prices. Exchanges specify common contract terms, such as the underlying and…

FuturesCommoditiesMarket microstructureExecution
Quant Q&A

The document explains why futures positions commonly end without physical delivery. It describes offsetting as closing a position by taking the opposite side in the same number of standardized contracts before expiration. The responses distinguish exposure…

FuturesCommoditiesExecution
Quant Q&A

The discussion asks whether EU Emissions Trading System allowance prices can be projected from spot prices using a single discount rate or another market-implied method. The responses point to policy risk as a reason forward prices may sit below expectations…

CommoditiesFuturesDerivatives pricingEvent-driven