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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

10,263 documents

Quant Q&A

The document discusses how to update the damping parameter in Levenberg–Marquardt calibration of the Heston stochastic volatility model. The question compares a cited Heston calibration procedure, which raises damping after rejected steps but leaves it…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document investigates why a finite-difference Black–Scholes engine in QuantLib can return a different theta for an option priced from a Black variance surface than from a constant volatility equal to the surface’s volatility at that strike and expiry. In…

OptionsVolatilityDerivatives pricing
Quant Q&A

The question asks how to choose the function in Ito’s lemma to find the differential of a process defined as the exponential of a constant times Brownian motion. The answer clarifies that the process is a function of the underlying stochastic variable,…

StatisticsDerivatives pricing
Quant Q&A

This exchange considers why two bonds from the same company can show sharply different Z-spreads, challenging the idea that the measure isolates issuer credit risk and should therefore be similar across the issuer’s debt. It illustrates the issue with two…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document explains why, all else equal, a callable bond can be worth more to its investor when its call price is higher. One answer compares the embedded call feature to a put-like protection: with a higher call value, interest rates must fall further…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document asks why American options, which allow exercise at any time up to expiry, receive attention when actual trading and exercise occur discretely. It contrasts them with Bermudan options, where exercise is available only at specified dates, and…

OptionsDerivatives pricingStatistics
Quant Q&A

The discussion considers how to estimate an option implied volatility surface when the target asset has spot history but no option data, while related assets have observable option surfaces. It presents break-even volatility, or fair skew, as a way to infer…

VolatilityDerivatives pricingOptionsStatistics
Quant Q&A

The answer distinguishes statistical risk analysis from no-arbitrage derivative pricing. For portfolio risk measures such as value at risk or expected shortfall, analysts generally model outcomes under the real-world probability measure, informed in some way…

Risk managementStatisticsVolatilityDerivatives pricing
Quant Q&A

The document asks how quantitative finance software differs from classroom implementations, using European option pricing as its example. A basic Black–Scholes formula can be coded directly from a few inputs, while a production library such as QuantLib…

OptionsDerivatives pricingFixed income
Quant Q&A

The document separates machine learning used to approximate an already computed option pricing function from methods that learn both a claim’s value and its optimal hedge. For fast pricing, a model is trained on examples generated by slower numerical pricing…

OptionsMachine learningDerivatives pricingBacktesting
Quant Q&A

The document distinguishes two meanings of volatility in bond option analysis. Price volatility can mean implied volatility from a Black-style option pricing model using the bond price as the underlying. Yield volatility instead treats bond yield as the…

Fixed incomeOptionsVolatilityDerivatives pricing
Quant Q&A

The document asks how to price a quanto option when both the underlying asset and the exchange rate follow calibrated Heston stochastic-volatility models. It specifically questions how to use a constant-volatility quanto formula when volatility varies over…

OptionsDerivatives pricingVolatilityForex
Quant Q&A

The note asks why an out-of-the-money natural gas call can have a larger absolute delta than a put whose strike is at a similar percentage distance from the underlying, even though the put has higher implied volatility. It gives example quotes and reports an…

OptionsDerivatives pricingVolatility
Quant Q&A

The document considers whether proving the Riemann hypothesis would affect finance after a hedge fund manager reportedly suggested it as a research topic. Most responses interpret the remark as humor or as encouragement for students to develop strong…

StatisticsDerivatives pricing
Quant Q&A

The document asks for the probability that a stock modeled by geometric Brownian motion is at or above a threshold at a later time, given that it was at or below that threshold earlier. The responses explain that taking logarithms converts the stock process…

StatisticsDerivatives pricingOptions
Quant Q&A

The document describes how to price a forward contract on a zero-coupon bond using no-arbitrage. The example gives a bond with a stated face value and current price, a forward maturity before the bond’s maturity, and a binomial short-rate lattice. The key…

Fixed incomeDerivatives pricingArbitrage
Quant Q&A

The document asks whether research on analytic pricing of American options continued after early papers on valuation properties. The response points to work presenting an exact explicit valuation for American put options. It characterizes the approach as an…

OptionsDerivatives pricingStatistics
Quant Q&A

The discussion considers how to supply a dividend yield when applying Black–Scholes to an equity option. It distinguishes a known upcoming cash dividend from a continuous yield estimate and describes several ways to form that estimate. Forward-looking…

OptionsEquitiesDerivatives pricingStatistics
Quant Q&A

The question asks whether the lognormal distribution for a stock price can be used to derive the Black–Scholes partial differential equation. The response clarifies that the stated log-price process is an assumption within the Black–Scholes framework, rather…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks how to estimate the CEV model’s parameters, which determine the scale and price dependence of stock volatility, for simulations of CPPI and OBPI portfolio strategies. The answer recommends calibrating the model to vanilla equity or index…

OptionsEquitiesVolatilityDerivatives pricing
Quant Q&A

The document explains the distinction between clean (quoted) and dirty (cash) bond prices when specifying a bond option. Its answer emphasizes that over-the-counter contracts can define their strike and underlying price according to the parties’ chosen…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document introduces the skew stickiness ratio (SSR) as a way to describe how at-the-money-forward implied volatility responds when the underlying asset moves. It uses this measure to distinguish two common smile-dynamics assumptions. Under sticky strike,…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document surveys ways to estimate how an option’s implied volatility may respond to a hypothetical market move, with portfolio risk simulation as the motivation. It describes modeling the joint behavior of forward at-the-money volatility and the first…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document explains an equivalence between a caplet paying a floating rate above a fixed strike and a put-style payoff on a zero-coupon bond. Its economic interpretation treats the caplet as the right to sell a one-period coupon bond with a predetermined…

OptionsFixed incomeDerivatives pricing