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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 raises whether Geometric Brownian Motion is suitable for forecasting timber prices over a long horizon. The proposed example is quarterly sawtimber stumpage prices projected ten or fifteen years ahead. The author reports that an Augmented…

CommoditiesStatisticsBacktesting
Quant Q&A

The document describes estimating coefficients for a deterministic seasonal function from observations using SciPy’s nonlinear least-squares optimizer. The model includes a constant, a linear time term, and sine and cosine components at two frequencies. The…

CommoditiesStatisticsBacktesting
Quant Q&A

The note discusses how to construct a provisional volatility surface when options on the target market trade rarely. It outlines three approaches: use implied volatilities from a related underlying as a proxy, estimate historical statistical volatility, or…

VolatilityOptionsCommoditiesDerivatives pricing
Quant Q&A

The discussion reviews a paper claiming that changes in futures open interest predict returns in related asset classes, including commodities, Treasuries, and equities. One response reports that an advisory analysis found predictive evidence after…

FuturesCommoditiesFixed incomeEquities
Quant Q&A

The document explains why an ICE electricity futures settlement can change even when a contract records no volume or open interest. Under the described procedure, the exchange first selects an anchor expiry, identified for the products discussed as the…

FuturesCommoditiesMarket microstructureDerivatives pricing
Quant Q&A

The document asks whether a single-commodity exchange-traded commodity product can accurately be described as a delta-one investment when it holds futures contracts. As a contract approaches expiry, the product must roll its exposure into a later contract.…

CommoditiesFuturesRisk management
Quant Q&A

The document explains why the market price of risk for oil cannot be inferred simply from oil’s expected return and volatility as though it were a purely financial investment. The discussion distinguishes investment assets, valued for their financial cash…

CommoditiesRisk managementStatistics
Quant Q&A

The discussion considers how to test a next-day wheat futures direction model with limited capital after encouraging backtests. One suggestion is to use a broker’s demo account to observe how the strategy behaves in live market conditions before committing…

FuturesCommoditiesBacktestingExecution
Quant Q&A

The discussion considers what additional time series might help a neural network forecast daily foreign exchange rates. Suggested inputs include currency crosses, interest rate differentials, yield curve slopes, and changes in rates, along with country-level…

ForexMachine learningFixed incomeCommodities
Quant Q&A

The document addresses whether a minimum variance hedge ratio requires spot and futures prices to use the same physical units. Its example compares spot prices quoted in dollars per barrel with futures prices quoted in dollars per million British thermal…

CommoditiesFuturesStatisticsRisk management
Quant Q&A

The note discusses how to set the time unit when estimating geometric Brownian motion drift and volatility from daily prices. It defines returns as successive log price changes and scales their sample standard deviation by the square root of the time step.…

FuturesCommoditiesStatisticsVolatility
Quant Q&A

The document explains how to estimate historical VaR for an option by replaying past market changes against today’s position. Instead of sorting historical returns of options that had different expiries and moneyness, it applies historical changes in risk…

OptionsCommoditiesRisk managementDerivatives pricing
Quant Q&A

The document asks whether futures on the same bond or equity index have different risk profiles when they mature on different dates. The answer says maturity effects depend on the underlying and the length of the available futures curve. For equity index and…

FuturesFixed incomeCommoditiesVolatility
Quant Q&A

The document discusses why futures prices can respond to supply and demand in the futures market rather than being mechanically fixed by spot prices. In contango, an investor may buy physical oil at a low spot price, store it, and sell futures for later…

FuturesCommoditiesArbitrage
Quant Q&A

The discussion addresses whether shorting a futures contract earns a return simply because its price converges toward spot as expiration approaches. It explains that the futures price difference reflects carrying costs and financing, rather than a separate…

FuturesCommoditiesCarry
Quant Q&A

The document asks how exchanges determine daily settlement prices for illiquid futures contracts when no trades occur, since positions still need to be marked to market. It seeks information about practices actually used and how common they are, rather than…

FuturesCommoditiesMarket microstructure
Quant Q&A

The document discusses estimating value at risk for a commodity forward exposed to commodity price, foreign exchange, interest rate, and commodity spread movements. It explains that full revaluation can be practical when the forward pricing formula is…

CommoditiesFuturesRisk managementStatistics
Quant Q&A

The document explores why a futures contract is quoted at one market price even though a long and a short position gain or lose value in opposite directions. It describes a commodity contract with a fixed delivery amount, price, and expiration, then…

FuturesCommoditiesDerivatives pricing
Quant Q&A

The document surveys risk measures used to monitor equity, fixed-income, commodity, and foreign-exchange portfolios. It lists position sizes and exposures alongside measures such as volatility, beta, duration, DV01, credit categories, currency risk, and…

Risk managementMulti-assetEquitiesFixed income
Quant Q&A

The document asks how to estimate short-dated implied volatility for options on commodity futures when listed expiries are sparse. Its soybean example contrasts contracts with clearly observable weekly or short-dated option expiries against intermediate…

CommoditiesFuturesOptionsVolatility
Quant Q&A

The document explains why a futures hedge can leave meaningful risk even when the contract was intended to lock in a price. A hedger may retain an asset, such as a bond or stock basket, and take an offsetting position in a correlated futures contract rather…

FuturesCommoditiesFixed incomeEquities
Quant Q&A

The discussion addresses an uneven set of out-of-the-money calls and puts when estimating a VIX-style implied variance measure from commodity options. It highlights that limited strike coverage can bias the estimate downward, while widely spaced strikes can…

OptionsCommoditiesVolatilityDerivatives pricing
Quant Q&A

The document outlines how commodity trading firms manage flat price exposure arising from physical contracts. A back-to-back physical contract with matching commodity, timing, and delivery location can offset commodity price risk, leaving mainly counterparty…

CommoditiesRisk managementDerivatives pricingFutures