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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

8,116 documents

Quant Q&A

This discussion recommends ways to learn PDE techniques used in derivatives pricing. It suggests starting with an options text that introduces Itô’s lemma, binomial pricing, and explicit and implicit finite-difference methods, then moving to more specialized…

OptionsDerivatives pricing
Quant Q&A

The document explains how put-call parity for year-on-year inflation caps and floors can be used to infer the market rate of the underlying inflation swap. In present-value terms, the cap value minus the floor value equals the value of a swap that pays fixed…

OptionsFixed incomeDerivatives pricingVolatility
Quant Q&A

The discussion explains why VIX returns are often negatively associated with S&P 500 returns even though VIX represents implied volatility rather than market direction. In falling markets, investors may seek protection through index puts, raising option…

OptionsVolatilityEquitiesMarket microstructure
Quant Q&A

The question asks why some researchers fit curves to implied volatilities rather than option prices, given that both can vary nonlinearly with strike. The response points out that a standard pricing framework such as Black–Scholes provides a conventional…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document explains why a local volatility model can be useful after fitting an implied volatility surface to vanilla option prices. Under Dupire’s approach, the surface is converted into a local volatility function that can be used to model the underlying…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document considers pricing options on an illiquid currency pair when only one bank provides option quotes. It asks whether historical realized volatility can support implied volatility estimates, how a market maker might account for a risk premium, and…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The discussion explains why calibrating a Bermudan swaption model only to coterminal European swaptions may miss important market drivers. A Bermudan’s exercise value can depend on swap rates and swaption prices across many expiries and tenors, including…

Fixed incomeOptionsVolatilityDerivatives pricing
Quant Q&A

The document discusses pricing single- and double-window barrier options, whose barriers are monitored only during a specified interval within the option’s life. It cautions that closed-form formulas are generally limited to Black–Scholes settings with…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document explains ways to turn an in-the-money call option’s value into cash when exercising requires paying the strike price. Its example compares the strike payment with the difference between the stock price and strike, after accounting for the option…

OptionsEquitiesExecutionMarket microstructure
Quant Q&A

The document explains how option Greeks can help attribute changes in a delta-hedged position. Gamma captures the effect of underlying price movement and realized variance relative to the volatility assumption; vega measures sensitivity to changes in the…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The discussion considers a bullish investor choosing how to gain exposure to a forward, with position size capped at a stated maximum. The response explains that an optimal position cannot be determined from the expected direction alone: it depends on the…

FuturesOptionsDerivatives pricingRisk management
Quant Q&A

The document explains how to construct a portfolio of stock and a risk-free bond that matches an option's payoff in a one-period, two-outcome binomial model. In the up state, the portfolio's stock and bond values must equal the option value; the same…

OptionsDerivatives pricingPortfolio construction
Quant Q&A

The document explains how to infer a later-dated option’s implied volatility from a calendar put spread when the earlier straddle’s fair value is known. It first compares the trade price with model values to estimate the spread’s edge, then uses put-call…

OptionsVolatilityDerivatives pricingMarket making
Quant Q&A

The document examines how the change in value of a Black–Scholes hedging portfolio is derived when it holds an option and a short position in the underlying stock. It distinguishes applying Itô’s lemma to the option value, viewed as a function of time and…

OptionsDerivatives pricingRisk management
Quant Q&A

The document discusses why Itô calculus is common in finance and how it relates to the Stratonovich convention. It presents the view that, with appropriate treatment, both conventions can lead to the same Black–Scholes equation. The choice of stochastic…

OptionsDerivatives pricingStatistics
Quant Q&A

The document clarifies the meaning of the Poisson rate in Merton’s jump-diffusion model. The rate λ is an intensity measured as expected jumps per unit of time. Over a short interval of length dt, the expected number of jumps is λdt, which corresponds to the…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document considers how to estimate the future discounted exposure of a European stock put under the real-world measure, including whether a Black–Scholes value evaluated at the expected future stock price is an adequate approximation. It explains that…

OptionsDerivatives pricingStatisticsBacktesting
Quant Q&A

The document asks how implied volatility across strikes should behave for electricity options. It describes differing possibilities, including a convex smile and a skew with higher volatility at elevated strikes. The replies discuss German electricity market…

OptionsVolatilityCommoditiesDerivatives pricing
Quant Q&A

The document presents a VBA routine that estimates European call and put prices with a Black–Scholes formula, then attempts to solve for implied volatility by iterating on volatility. A reply identifies the very small volatility step used to approximate…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document compares finite-difference PDE methods with Monte Carlo simulation for pricing options under complex models. In a relatively simple setting such as Black–Scholes with a payoff that does not require modeling volatility convexity, a PDE can be…

OptionsDerivatives pricingVolatility
Quant Q&A

The document distinguishes expected exposure from the purchase cost of an investment. It defines expected positive exposure at a future time as the expected value of the positive part of a trade’s value. For a long option or share, the answer notes that…

OptionsEquitiesRisk managementDerivatives pricing
Quant Q&A

The document asks how to express the bank-account holding in a self-financing hedge for a derivative priced as a function of time and the underlying stock. Applying Itô’s formula gives a stock position equal to the derivative’s sensitivity to the stock…

Derivatives pricingOptionsRisk management
Quant Q&A

This question asks whether to price caplets on one-month USD floating rates with a normal Bachelier model or a lognormal Black model. The instruments are caps intended to limit rate exposure on pay-floating, receive-fixed swaps, with floating payments…

OptionsFixed incomeDerivatives pricing