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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

12,303 documents

Quant Q&A

The answer explains why multiplying a volatility estimate by a factor close to one can correct bias in a first-exit-time volatility calculation. It distinguishes the unbiased sample variance from the sample standard deviation: taking the square root of an…

VolatilityStatisticsRisk management
Quant Q&A

The exchange discusses estimating an option’s future price after a specified move in its underlying when future implied volatility is unknown. One approach is to make explicit assumptions about both the underlying price change and the change in implied…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document addresses a reported difference in output from FIGARCH estimation: one specification displays coefficients and inferential statistics, while another displays only coefficients. The accepted response explains that the latter estimation did not…

StatisticsVolatility
Quant Q&A

The document describes a question about calibrating a local volatility surface through an inverse problem. It outlines a representation that uses B-splines across one dimension and linear interpolation across time, then penalizes variation in time and…

VolatilityDerivatives pricingStatistics
Quant Q&A

The procedure estimates an at-the-money implied volatility for a target maturity by using two listed option expirations that bracket it. It first selects nearby call and put strikes, estimates a forward price for each expiration from put–call parity, and…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document raises a pricing question about a down-and-out call when the underlying follows a jump process, with the Kou double-exponential and normal inverse Gaussian models suggested to represent asymmetric jumps. It considers raw Monte Carlo simulation…

OptionsDerivatives pricingStatisticsVolatility
Quant Q&A

The document poses a question about constructing a risk-neutral density from out-of-the-money options. Since the density is related to the second derivative of option price with respect to strike, it asks whether convexity of option prices is needed to…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explains why an FX option’s delta convention must match the convention used to build a volatility smile or surface. It lists spot and forward delta, each with premium-adjusted and unadjusted forms, and notes that converting between conventions…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The note addresses whether Black–Scholes prices a call and a put equally when their strikes are equally far from the current underlying price in opposite directions. It distinguishes terminal payoffs from option values before expiry. At expiry, if the…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explains the combined payoff of a long up-and-in put and a short up-and-in call with the same strike, maturity, and barrier. If the underlying reaches the barrier before expiry, both options activate and behave like vanilla options. Put-call…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks whether financial institutions use GARCH models in risk systems that calculate expected shortfall. It cites a practical primer by an author whose listed affiliations include a bank, as an example of practitioner-oriented discussion. The…

Risk managementVolatilityStatisticsBacktesting
Quant Q&A

The document explains why option traders sometimes treat theta as a proxy for gamma, focusing on a delta-neutral portfolio. It uses the Black–Scholes differential equation to relate portfolio time decay, delta, gamma, interest rates, and the underlying…

OptionsDerivatives pricingVolatility
Quant Q&A

The document examines the Black–Scholes risk-neutral drift relation and asks whether its negative volatility adjustment conflicts with the observation that higher interest rates can coincide with falling stock prices. The replies explain that the relation…

OptionsDerivatives pricingVolatilityEquities
Quant Q&A

The document asks whether an implied volatility surface can be used to calculate options strategy P&L and variance swap P&L when individual option prices are unavailable. The response says a surface can support these calculations if its construction…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document describes a volatility pattern in monthly electricity futures that changes as the delivery month progresses. Because electricity is delivered throughout the month, the contract price converges toward the monthly average as delivery unfolds. The…

FuturesCommoditiesVolatilityStatistics
Quant Q&A

The document explains why a call option on a basket of stocks is commonly described as having positive exposure to correlation. A basket’s value depends on the combined returns of its constituents, so its distribution is more complicated than the…

OptionsEquitiesVolatilityStatistics
Quant Q&A

The document asks whether investors can isolate jump risk premia in a way that variance swaps isolate variance risk premia. It describes gap-risk contracts as a practical analogue: an over-the-counter swap or exposure embedded in a structured note, based on…

OptionsEquitiesVolatilityRisk management
Quant Q&A

The document outlines the historical VIX methodology and distinguishes two changes to the index. In 2003, the underlying shifted from S&P 100 options to S&P 500 options, and the calculation moved from implied volatility to a variance-swap approach. In 2014,…

OptionsVolatilityUS marketsDerivatives pricing
Quant Q&A

The document asks whether selecting the least expensive option at successive expiries can reveal an asset's most likely price path. The answers explain that option prices can be used to infer risk-neutral distributions of terminal prices at fixed maturities.…

OptionsVolatilityStatisticsDerivatives pricing
Quant Q&A

The document asks how to tell whether an estimated correlation between two assets is stable over time, and whether the relationship is meaningfully linear. It describes a rolling correlation estimate and an ad hoc stability rule based on the largest recent…

StatisticsVolatilityMulti-asset
Quant Q&A

The discussion distinguishes geometric-average and arithmetic-average Asian options under the Heston stochastic volatility model. It reports that a closed-form pricing formula is available for the geometric Asian option, while an analogous closed form is not…

OptionsDerivatives pricingVolatilityBacktesting
Quant Q&A

The document explains why a caplet whose payoff is fixed and paid on the LIBOR fixing date is more involved than one paid at the end of the underlying accrual period. For the latter, the forward rate is modeled as a martingale under the matching maturity…

Fixed incomeOptionsDerivatives pricingVolatility
Quant Q&A

The document presents a proposed closed-form value for a convertible bond under a two-factor setup involving the stock price and a Vasicek-like interest-rate factor. The cited response expresses the value in a Black-style form, using the stock price, a…

Fixed incomeOptionsDerivatives pricingVolatility