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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
Quantpedia
86 documents
TqSdk
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

8,116 documents

Quant Q&A

The document examines a claim paying the squared amount by which the terminal asset price exceeds a strike, and addresses the sign of the claim’s third derivative with respect to strike. Differentiating its discounted risk-neutral expected payoff three times…

OptionsDerivatives pricingStatisticsArbitrage
Quant Q&A

The document asks how to estimate a share’s expected value at a future date under the real-world probability measure, distinguishing that goal from risk-neutral option pricing. It notes that a zero-strike call should have the same payoff as one share, yet a…

EquitiesOptionsStatisticsVolatility
Quant Q&A

The document explains rho as an option’s sensitivity to interest rates and compares how its direction depends on the underlying market and model assumptions. In the Black–Scholes framework for equity options, a higher rate raises call values and lowers put…

OptionsDerivatives pricingVolatility
Quant Q&A

The document identifies lambda in the Heston stochastic volatility model as the market price of volatility risk. The question concerns equations in which lambda appears alongside the mean-reversion rate, correlation between the price and volatility shocks,…

OptionsVolatilityDerivatives pricing
Quant Q&A

This exchange explains why Andersen’s quadratic exponential scheme uses different distributions to simulate the next Heston variance value. At higher variance levels, the method approximates the transition with a quadratic function of a Gaussian variable. At…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

This exchange explains how to form the initial replicating portfolio for a European call in the Black–Scholes model. The call’s stock delta gives the number of shares to hold, while the bond position supplies the remaining value needed to match the option…

OptionsDerivatives pricingFixed income
Quant Q&A

The responses discuss what risk information may help a business leader oversee foreign-exchange exposure. For operational involvement, suggested measures include gross and net portfolio exposure, leverage, trade size limits, and intraday exposure by product.…

ForexRisk managementPosition sizingOptions
Quant Q&A

The answer outlines a valuation path for a European swaption when a short-rate model supplies zero-coupon bond prices. It first describes obtaining bond prices from risk-neutral expected discounting, analytically where the model allows and otherwise through…

Fixed incomeOptionsDerivatives pricingStatistics
Quant Q&A

The question asks for an open-source, all-Java implementation of Black–Scholes and related quantitative models, with a preference for code the team can inspect without relying on C++. The replies name finmath-lib as a Java library and describe its broader…

OptionsDerivatives pricingFixed income
Quant Q&A

The answer explains why the state weights used to express a one-period option payoff as a discounted expectation must be nonnegative when the market is arbitrage-free. In a two-state model, the weights sum to one, but a negative weight means the discounted…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document presents a numerical approach to valuing a European put by discretizing the Black-Scholes operator on Laguerre nodes. It forms first- and second-derivative matrices, builds a spatial operator from the interest rate, volatility, spot-price grid,…

OptionsDerivatives pricingStatisticsBacktesting
Quant Q&A

The document develops a log-utility, or Kelly, allocation for a portfolio holding a European option and a risk-free bond under a Black–Scholes market model. It first recalls the stock-and-bond result, where the optimal wealth fraction in the stock is the…

OptionsDerivatives pricingPosition sizingRisk management
Quant Q&A

The document explains why the Black–Scholes model writes a stock’s price change as a drift proportional to the current price, alongside a random component. Its central idea is to model relative returns: if returns are treated as having a stable distribution,…

EquitiesOptionsDerivatives pricingStatistics
Quant Q&A

The document asks how to estimate the volatility input for option pricing when the option's market price, and therefore its implied volatility, is unavailable. One reply presents the usual sample standard deviation of returns as a linear unbiased estimator…

OptionsVolatilityStatistics
Quant Q&A

The document asks how to price and mark simple European calls and puts in emerging or frontier equity markets where volatility surfaces may be absent or thinly traded. It highlights practical constraints that complicate replication and hedging, including…

OptionsVolatility
Quant Q&A

The document explains how dividend yield enters equity option pricing through the stock forward price. It distinguishes a forward yield reported by a data source from trailing yield, which uses past dividends, and indicated yield, which annualizes an…

OptionsEquitiesDerivatives pricing
Quant Q&A

The document considers Fourier-domain pricing for a payoff that equals a decaying exponential above a threshold and zero below it. It gives the Fourier transform of that truncated exponential and the transform of a Gaussian density. It then states a…

Derivatives pricingOptionsStatistics
Quant Q&A

The document explains why information methods developed for European options cannot be applied directly to implied volatility from American options. An American option price includes value associated with the right to exercise before maturity, so its implied…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document explains what a trader may do after a client buys a capital-protected product with upside linked to a call option. In a simple case, the trader can offset the option exposure by buying the corresponding market option, with any difference between…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document explains the N(d2) term in the price of a cash-or-nothing digital call that pays a fixed amount if the underlying finishes at or above the strike. Under the Black–Scholes assumptions, the discounted expected payoff is the cash amount multiplied…

OptionsDerivatives pricingStatistics
Quant Q&A

The document quotes a form of Dupire’s formula and asks what it means to say that local volatility at a given spot and time is reflected in option prices with strikes and maturities “straddling” those values. The key idea behind that wording is that the…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explains why Brownian motion is a useful starting point for modeling financial markets. It presents Brownian motion as the continuous-time limit of a scaled random walk and as a simple, well-studied process with rough, irregular paths that…

StatisticsDerivatives pricingOptions
Quant Q&A

The question compares a customized Heston pricing implementation with QuantLib’s analytic engine and asks whether the library is unusually slow. The reported timing is for pricing many options with differing strikes under a flat-rate setup, using a cosine…

OptionsDerivatives pricingExecution
Quant Q&A

The document explains the intuition behind an arithmetic-average Asian call payoff. In practical contracts, the average is typically formed from daily stock prices observed during a specified period near the option’s end, rather than from a continuously…

OptionsDerivatives pricingVolatilityEquities