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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

20,364 documents

Quant Q&A

The document clarifies when the holder of a midcurve payer swaption must decide whether to enter the underlying forward-starting swap. The answer says the decision occurs at the option’s expiry, using the example of a one-year option on a five-year swap…

OptionsFixed incomeDerivatives pricing
Quant Q&A

The document considers using principal component analysis on industry peers’ fundamental metrics to inform equity analysis. It provides variance shares and loadings for thirteen components, then asks what the first two components represent. The response…

EquitiesStatisticsFactor investingMachine learning
Quant Q&A

The document compares a standard GARCH(1,1) conditional variance specification with a version that adds an asymmetric term. In the second model, a dummy variable activates an extra squared-residual contribution when the previous innovation is positive. The…

StatisticsVolatilityRisk management
Quant Q&A

The document asks for the expectation of a time integral of Brownian motion with drift, weighted by exponential discounting. It specifies drift μ, volatility σ, and discount rate k, then applies Fubini’s theorem to move expectation inside the integral. Under…

StatisticsDerivatives pricing
Quant Q&A

The document questions media descriptions of US Treasury futures basis trades as arbitrage. It focuses on a cash bond and futures hedge, especially when the bond is the cheapest to deliver, and distinguishes a negative gross basis from a genuinely locked-in…

Fixed incomeFuturesArbitrageCarry
Quant Q&A

The document examines a formula for the weights of a conditionally optimal portfolio, called the unconstrained minimum-variance efficient portfolio, in a setting with multiple risky assets and no riskless asset. The weights depend on the conditional mean…

Portfolio constructionStatisticsDerivatives pricing
Quant Q&A

The document clarifies the meaning of a chart label describing preferred equity as purchased. Net preferred equity issued reflects both issuance and repurchases: when a company buys back preferred shares, that activity offsets prior issuance and can make the…

Equities
Quant Q&A

The document gives a quick approximation for the mark-to-market change on a fixed-rate interest rate swap after a small change in its quoted rate. The proposed method multiplies the rate move by the swap’s duration and notional, with the sign determined by…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document asks how to interpret the cash-account changes in Piterbarg’s framework for pricing derivatives under collateral agreements. It distinguishes dividend income on a hedging stock position from the cost of financing that position, and asks why…

Derivatives pricingFixed incomeRisk management
Quant Q&A

The document asks how to combine Barra factor exposures for individual assets into exposures for a long-short portfolio, with the eventual aim of attributing portfolio returns to factors. It raises a key weighting choice: divide each position’s dollar value…

Factor investingPortfolio constructionStatistics
Quant Q&A

The document poses an allocation question: how to split capital between an active fund and a passive ETF when the active fund’s risk relative to a benchmark exceeds the investor’s portfolio active-risk budget. It compares two proposed rules: divide the…

Portfolio constructionRisk managementPosition sizing
Quant Q&A

The document considers a stochastic differential equation whose drift switches between positive and negative values according to the sign of the state. The drift is bounded but discontinuous, so it fails the usual Lipschitz condition associated with standard…

StatisticsMachine learning
Quant Q&A

The document asks how to measure and simulate gradual rises followed by sharp market declines. It presents threshold GARCH as a way to model return asymmetry, with APARCH as a related model family, and points to jump diffusions, often paired with stochastic…

EquitiesVolatilityStatisticsBacktesting
Quant Q&A

The document investigates why AAPL and IBM have no prices for a particular historical date and how to research similar anomalies. The answer explains that U.S. exchanges were closed for Good Friday, a holiday whose date moves from year to year. It recommends…

EquitiesUS marketsStatistics
Quant Q&A

The document concerns Japan’s benchmark interest rates, particularly TONAR and TIBOR, and asks how they differ from yen LIBOR and where to find TONAR’s calculation methodology. The response recommends an interest-rate instruments and market conventions guide…

Fixed incomeForex
Quant Q&A

The document compares the Fama–French market return with the Wilshire 5000 as market proxies in a three-factor regression of mutual fund returns. The accepted answer describes the Fama–French market portfolio as a value-weighted return on eligible…

EquitiesFactor investingStatisticsUS markets
Quant Q&A

The document asks what to call the overlapping strike prices in ordered lists of call and put options. Its answer uses the underlying spot price to explain the standard moneyness categories: calls with strikes below spot and puts with strikes above spot are…

OptionsDerivatives pricing
Quant Q&A

The document explains why a candle can be green even when its close is below the previous candle’s close. In a common solid-candle convention, color compares the period’s close with its own open: green indicates the price rose during that interval, while red…

Technical indicatorsCrypto
Quant Q&A

The document discusses when to roll a six-month call option into a longer-dated option, such as one expiring in nine or twelve months. Its main suggestion is to consider rolling when implied volatility in the existing LEAP is elevated and fewer than six…

OptionsVolatilityDerivatives pricing
Quant Q&A

The exchange explains the role of delta hedging in the Black–Scholes framework. A portfolio short the option and long the underlying in proportion to the option's sensitivity to the underlying cancels the shared stochastic price movement in the idealized…

OptionsDerivatives pricingRisk management
Quant Q&A

The discussion addresses why summing trades only during regular New York market hours can produce a lower total than a published daily volume figure. For the NYSE end-of-day TAQ dataset described, the accepted answer says reported volume includes trades from…

EquitiesMarket microstructureUS markets
Quant Q&A

The document asks how a Monte Carlo approximation of conditional value at risk can be expressed as a linear optimization problem. The approximation uses a threshold variable and the positive part of each scenario's loss beyond that threshold. Introducing one…

Risk managementPortfolio constructionStatisticsBacktesting
Quant Q&A

The discussion compares broad approaches to estimating fair value in corporate credit. It notes that cross-sectional regressions are common in published work, then frames structural models, stochastic pricing models, and hybrids that use distance to default…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document shows how to account for a short position in open profit and loss using a signed position quantity. In its example, a short position is represented by a negative share count. When the current price falls below the entry price, the position has…

EquitiesRisk managementPosition sizing