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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

8,116 documents

Quant Q&A

The document explains one meaning of out-of-sample option pricing: estimate a model’s structural parameters using information available through time t, then hold those estimates fixed while evaluating later option prices with the market inputs observed at…

OptionsDerivatives pricingBacktestingVolatility
Quant Q&A

The document discusses an option whose payoff depends on a stock’s performance relative to a dividend-reinvesting index. One response connects the contract to spread options and points to the Margrabe formula for intuition. Another gives the variance of…

OptionsDerivatives pricingVolatilityMulti-asset
Quant Q&A

The note examines why a long-dated, out-of-the-money call option’s observed premium might rise even while the underlying stock falls. The response points to several factors that can move the quoted price: implied volatility had recently increased, time to…

OptionsVolatilityDerivatives pricing
Quant Q&A

The note explains why a swaption’s delta under SABR may include a volatility contribution. If implied volatility is modeled as a function of the forward rate, the derivative of the instrument’s value with respect to that rate has two parts: the direct price…

Derivatives pricingOptionsVolatility
Quant Q&A

The document clarifies whether exercising an option during the trading day fixes the price of the resulting stock position. For physically settled American equity options, exercise generally means paying the strike and receiving the shares; it does not…

OptionsDerivatives pricingExecution
Quant Q&A

The document asks what the Heston stochastic volatility parameters mean and how practitioners estimate them. It identifies long-run variance, the speed of mean reversion, and volatility of variance, then relates these parameters to features of the implied…

OptionsVolatilityDerivatives pricing
Quant Q&A

The discussion clarifies that the differential notation for Itô’s formula is shorthand for an integrated identity. Applying the formula to an option price under geometric Brownian motion gives a time integral, a stochastic integral, and a second-derivative…

OptionsDerivatives pricingStatistics
Quant Q&A

The document analyzes a three-strike call payoff formed by buying calls at the outer strikes and selling twice the call at the midpoint. It applies a quarterly dividend-yield adjustment by scaling the underlying with a discrete dividend factor, then…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document clarifies why SABR’s usefulness for path-dependent interest rate options depends on how its parameters are calibrated. SABR is a stochastic volatility model that can be simulated, while its common fast approximations target terminal…

OptionsDerivatives pricingVolatilityFixed income
Quant Q&A

The document examines whether a sharp decline in call open interest, especially relative to put open interest, can signal or cause a fall in the underlying stock. Its central clarification is that falling open interest does not establish that holders…

OptionsEquitiesMarket microstructure
Quant Q&A

The reply discusses ways to reduce discretization error when Monte Carlo simulation prices a continuously averaged Asian option. One suggestion is to replace a simple running sum of simulated asset prices with a trapezoidal approximation, averaging adjacent…

OptionsDerivatives pricingBacktestingStatistics
Quant Q&A

The note asks whether option bid-ask spreads for a given tenor can reveal risk aversion and help convert a risk-neutral density into a real-world density. The responses distinguish transaction costs and quoted market conditions from investors’ or market…

OptionsVolatilityMarket microstructureDerivatives pricing
Quant Q&A

The note explains that option market makers generally set implied volatility quotes in response to the market-clearing balance of buying and selling interest, rather than deriving a single correct volatility from a formula. More demand to buy options can…

OptionsMarket makingVolatilityDerivatives pricing
Quant Q&A

The note explains the zero-stock-price boundary condition for a continuously monitored Asian call in a Black–Scholes setting. The average-price state is the accumulated stock value, so if the stock reaches zero and stays there, the accumulated value remains…

OptionsDerivatives pricing
Quant Q&A

The document compares the sensitivity of two option structures to forward volatility skew: a forward-starting payoff such as a cliquet and a spot-starting callable exotic. The response argues that cliquets can be more directly exposed to skew because their…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document presents a question about pricing a put option in a discrete-time interest-rate framework. The stated setup expresses the option value as a discounted conditional expectation under the original probability measure, then introduces a density…

OptionsDerivatives pricingFixed income
Quant Q&A

The document asks how to derive the time derivative, or theta, of a European call from the Black–Scholes pricing formula. It provides the call price in terms of the normal cumulative distribution function and the expressions for the two standardized…

OptionsDerivatives pricingStatistics
Quant Q&A

The document raises a risk-estimation question for out-of-the-money swaptions in a low or negative interest-rate setting. The author proposes using the Bachelier model with implied volatilities, then finds a very large annualized volatility for a long-dated…

OptionsFixed incomeDerivatives pricingVolatility
Quant Q&A

The document examines a position combining 1,000 shares with two sets of short at-the-money calls: one set forms a covered call, while the additional calls are uncovered. The author compares expiration payoff profiles and argues that the extra option premium…

OptionsDerivatives pricingRisk managementVolatility
Quant Q&A

The document shows how to price a European derivative whose maturity payoff is flat below one threshold, declines linearly between two thresholds, and is flat at a negative value above the second threshold. It identifies the shape as a bear spread and…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document examines why a finite-difference sensitivity for a Black-76 call may appear to differ from a formula that includes discounting. It distinguishes the option expiry from the forward’s delivery date and explains that the discount factor depends on…

Derivatives pricingOptionsFuturesStatistics
Quant Q&A

The document works through a proposed Gaussian path-integral calculation arising in a derivation of a call option on a zero-coupon bond. It applies the generating functional for Brownian motion to a source containing both a real term and an imaginary term…

Fixed incomeOptionsDerivatives pricingStatistics
Quant Q&A

At-the-money calls and puts can show very large gamma as expiration approaches, even though the option’s delta changes by a finite amount across any chosen spot move. The discussion asks whether a finite-difference gamma, calculated over a practical…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document outlines the Heston setting, where stock price and variance are stochastic state variables driven by correlated Brownian shocks. Applying Itô’s lemma to a derivative value function produces drift and diffusion terms, including a mixed…

OptionsDerivatives pricingVolatilityStatistics