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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 examines two normally distributed commodity price changes with zero means, unequal standard deviations, and perfect positive correlation. It asks whether their relative value changes and whether one commodity’s move is simply a fixed multiple of…

CommoditiesStatistics
Quant Q&A

The document considers whether a U.S. retiree can hedge a personal spending basket whose inflation runs above CPI-U, using consumer-accessible investments over a long horizon. It concludes that no single individual instrument is identified that directly…

Fixed incomeCommoditiesRisk managementPortfolio construction
Quant Q&A

The document describes a route from a commodity’s historically observed return distribution to an implied volatility smile. Rather than relying on a Cornish–Fisher expansion, the accepted answer proposes fitting a distribution to returns over the option’s…

CommoditiesOptionsVolatilityDerivatives pricing
Quant Q&A

The discussion considers how to price same-day-expiry options on futures across equity indexes, energy commodities, and Treasury markets. The response says many futures options are European and can be priced with Black–Scholes, while some contracts are…

FuturesOptionsCommoditiesDerivatives pricing
Quant Q&A

The document surveys several free or low-cost sources mentioned for historical market data. Its main example is an undocumented onvista interface for retrieving stock tick data by security identifier, exchange, and trading day. The author describes how a…

EquitiesForexCommoditiesHigh-frequency trading
Quant Q&A

The document proposes a repeatable way to identify liquid futures markets for research or systematic trend following. Rather than starting from a narrow published index or trying to query every contract through a terminal, it suggests parsing exchange…

FuturesCommoditiesTrend followingMarket microstructure
Quant Q&A

The document explains how day count conventions apply when pricing cross-currency forwards and swaps. Its central method is to calculate the accrual factor for each currency leg using that currency’s convention, then form the forward price as the domestic…

ForexCommoditiesDerivatives pricing
Quant Q&A

The document asks whether the relationship between crude oil price changes and Colombian exchange rate changes differs across time periods. Its proposed approach is to add a period indicator and interact it with the oil variable in a regression, which would…

StatisticsForexCommodities
Quant Q&A

The document asks how to estimate an execution or settlement price from a spot price when order size affects the realized price. It proposes using the bid–ask spread as a starting point because both spread and execution impact depend on liquidity, and asks…

CommoditiesExecutionMarket microstructureStatistics
Quant Q&A

The document frames an annual right to transfer oil from France to the UK, with daily capacity and the choice to leave capacity unused. Its proposed payoff arises when the UK price exceeds the French price: buy in France and sell in the UK. The underlying…

CommoditiesOptionsStatistics
Quant Q&A

The document explains why multiplying a futures contract size by its displayed price can produce a mistaken contract value. The key is the price unit: a soybean future may be quoted in cents per bushel rather than dollars per bushel. Contract size must be…

FuturesCommoditiesExecution
Quant Q&A

The document distinguishes the return skewness of momentum strategies across asset classes and strategy types. It reports that equity cross-sectional momentum has negative skewness, associated in the cited literature with sharp rebounds among prior losers…

MomentumEquitiesCommoditiesForex
Quant Q&A

The document asks how to include lags when applying least squares Monte Carlo to a timing real option. The project can be started at monthly decision dates over a five-year window, while revenue follows a non-Markov ARMA process sampled hourly over a…

OptionsCommoditiesBacktestingStatistics
Quant Q&A

The document describes a continuous futures series built by adding a cumulative roll adjustment to settlement prices and applying the contract multiplier. With this additive adjustment, the resulting notional can become negative even when the underlying…

FuturesCommoditiesStatisticsBacktesting
Quant Q&A

The document considers an optimal stopping problem in which the payoff depends on an Ornstein–Uhlenbeck process, then asks whether that process can represent a stock price. The response argues that under a risk-neutral, arbitrage-free model, discounted…

OptionsMean reversionCommoditiesArbitrage
Quant Q&A

The document considers whether company earnings should be modeled with a normal or lognormal distribution, contrasting firms with potentially commodity-linked revenues against non-commodity businesses such as retailers. It notes that earnings can be…

StatisticsCommoditiesRisk management
Quant Q&A

Commodity Asian swaps settle against an average reference price over an averaging period rather than a single final observation. The discussion describes a typical payoff as the period’s notional multiplied by the difference between a fixed strike and the…

CommoditiesDerivatives pricingFutures
Quant Q&A

The document asks how to construct historical break-even inflation curves in Brazil, where two inflation-linked government bond series reference different price indices: NTN-C is tied to IGP-M and NTN-B to IPCA. The response recalls that Deutsche Bank used…

Fixed incomeCommodities
Quant Q&A

The document discusses using ARCH or GARCH models to describe time-varying volatility in a financial series, prompted by a researcher studying copper prices. These models relate current conditional variance to past observations or shocks. The proposed…

CommoditiesVolatilityStatistics
Quant Q&A

The document examines why sponsors may not issue an exchange-traded note alongside an inverse version. It explains that daily leveraged and inverse notes are path-dependent: their exposure resets as their values change, so the pair’s gains and losses do not…

Derivatives pricingRisk managementCommoditiesFutures
Quant Q&A

The document poses a question about how an open-ended factor certificate can deliver a fixed multiple of the underlying asset’s daily percentage move. It contrasts that target with a simple financed position: subtracting a growing loan from the underlying…

Derivatives pricingCommoditiesRisk management
Quant Q&A

The document describes a forecasting setup for daily commodity prices using an LSTM network and predictor variables drawn from current and lagged observations. The author asks whether forecast accuracy can determine if the model is suitable for managing…

CommoditiesMachine learningRisk managementFutures
Quant Q&A

The document explains two labels that may appear on otherwise similar futures listings: “full” and “only.” The answer interprets them as references to trading sessions. “Full” denotes the broader CME Globex session, while “only” refers to the open-outcry…

FuturesCommoditiesMarket microstructure
Quant Q&A

The discussion compares ways to hold a long-term view on oil: physical storage, futures, oil-company shares, and other instruments. Physical oil requires storage infrastructure, while rolling futures can incur costs or benefit from the shape of the forward…

CommoditiesFuturesEquitiesOptions