Skip to content

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

10,263 documents

Quant Q&A

The note clarifies why a probability measure constructed from a Radon–Nikodym density in Girsanov’s theorem can be equivalent to the original measure, rather than merely absolutely continuous with respect to it. Absolute continuity follows from defining the…

StatisticsDerivatives pricing
Quant Q&A

The document considers a European payoff equal to the larger of a linear upside outcome, the underlying price minus a constant, and a linear downside outcome, another constant minus the underlying price. It proposes representing the payoff as a fixed amount…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains why a credit default swap’s mark-to-market value depends on risky annuity, also called risky PV01. A change in the CDS spread is quoted in basis points per year, so the spread difference alone does not express the position’s value in…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document raises questions about paired-class exchange-traded products VXUP and VXDN, which were designed to provide opposite exposures related to the VIX. The prospectus excerpts describe funds holding cash or short-dated Treasury-related assets, with…

VolatilityDerivatives pricingMarket microstructureUS markets
Quant Q&A

The discussion compares buying weekly deep in-the-money calls and rolling them each expiration with buying a call about a month out. It asks which approach minimizes time value paid per day, assuming implied volatility stays constant. One response suggests…

OptionsDerivatives pricingExecution
Quant Q&A

The document asks how to adapt a payment-delay convexity adjustment used for Libor to daily compounded risk-free rates, with SOFR as the example. It describes a normal-model expression involving a discount factor between the accrual end and payment dates,…

Fixed incomeDerivatives pricingVolatility
Quant Q&A

The document raises numerical questions about solving the Cox–Ingersoll–Ross short-rate model’s bond-pricing PDE with an implicit finite-difference scheme. It asks how to set a boundary at a large maximum rate, whether the grid point at zero requires a…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document examines a common tension in options practice: Black–Scholes is often treated as a way to express prices through implied volatility, even though its assumptions do not fully describe markets, while its Greeks are still used to measure portfolio…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document considers hedging a short put when short selling its underlying stock is prohibited. It explains that using a negatively correlated stock can reduce exposure, but generally cannot replicate the put exactly: the underlying and substitute stock…

OptionsEquitiesDerivatives pricingRisk management
Quant Q&A

The document asks whether regression approaches beyond Andersen’s method and Longstaff–Schwartz can estimate exercise decisions for Bermudan claims. It frames the price as an optimization over exercise times and explains that these methods estimate an…

OptionsMachine learningStatisticsDerivatives pricing
Quant Q&A

The document explains futures-style settlement for options on futures and contrasts it with the stock-style premium payment described for US options. Under futures-style settlement, opening the position requires no initial cash premium transfer. Instead,…

OptionsFuturesDerivatives pricingFixed income
Quant Q&A

The document asks for open-source C# tools to calculate fixed-income measures such as yield to maturity and duration. An answer recommends QuantLib.NET, noting its use for bond pricing in back-office work and a soft real-time trading system. This is a brief…

Fixed incomeDerivatives pricing
Quant Q&A

The question asks how to plot a European option’s value across many underlying prices without rebuilding the QuantLib example for each value. The accepted response illustrates setting up a vanilla option with an analytic European pricing engine, attaching…

OptionsDerivatives pricingBacktestingStatistics
Quant Q&A

The document asks whether the Black model’s N(d2) represents the risk-neutral probability that a vanilla caplet finishes in the money, and what probability applies to a floorlet. The response interprets the question as one about the probability of a digital…

OptionsFixed incomeDerivatives pricingStatistics
Quant Q&A

The document asks how to build a commodity futures strategy whose expected profit varies with the difference between daily-return correlation and two-day-return correlation, scaled by the assets’ volatilities. The proposed exposure is connected to a…

CommoditiesFuturesDerivatives pricingStatistics
Quant Q&A

The document compares statistical modeling with stochastic process modeling and calibration in finance. It presents stochastic models as explicit descriptions of how the world behaves, often built to preserve structural relationships such as the absence of…

StatisticsDerivatives pricingMachine learning
Quant Q&A

The document explains delta as the sensitivity of an option’s value to a change in the underlying asset’s value. A quoted 50 delta corresponds approximately to a 0.5 change in option value for a one-unit change in the underlying, making delta useful for…

OptionsDerivatives pricingVolatilityExecution
Quant Q&A

The document examines how an option’s moneyness affects the interest cost of carrying a delta hedge. The accepted explanation isolates financing interest from other components of hedging, such as theta and gamma costs. Under that framing, the cash interest…

OptionsDerivatives pricingRisk management
Quant Q&A

The document asks why a Brownian-motion stock model can have a unique risk-neutral measure despite having infinitely many possible states and only one stock. It presents two explanations: completeness allows traded claims to determine the measure, and…

Derivatives pricingStatisticsOptions
Quant Q&A

The document answers whether to use an underlying asset's volatility or each option's implied volatility when calculating delta or vega across strikes. It recommends using the implied volatility associated with the option's strike and expiry, reflecting the…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document explains why the coupon rate on a bond issued at par matches the fixed rate on a par swap with the same payment schedule and maturity. In the example, a two-year bond pays semiannual coupons, and the question compares its par coupon with the…

Fixed incomeDerivatives pricing
Quant Q&A

The document surveys empirical ways to estimate implied volatility across option strikes. It describes spline or piecewise polynomial fits, parabolic parameterizations, and Edgeworth expansions. A typical workflow selects reliable market volatilities,…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The exchange investigates an unevenly choppy implied volatility smile produced by Monte Carlo pricing of swaptions under SABR with beta below one. It describes simulating forward rates and volatility with Euler steps, estimating option prices across strikes,…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

This exchange explains why calculating a CPI bond yield in QuantLib can fail with an empty-handle error, even when the bond has a base CPI, coupon, price, and current reference CPI. The key issue is that the inflation index needs a forecast curve to…

Fixed incomeDerivatives pricing