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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 reconciles two expressions for estimating the present value of dividends from option prices. It states European put-call parity in terms of the spot price, strike, discount factor, call price, and put price, then rearranges the relationship to…

OptionsDerivatives pricingStatistics
Quant Q&A

The problem describes a European call that must be sold if an independent event occurs, at the lower of its current value and its original purchase price. One response reframes the contract as a standard call minus the value of a compound call written on…

OptionsDerivatives pricingBacktestingStatistics
Quant Q&A

The discussion surveys products outside plain-vanilla swaps, swaptions, caps, and floors, while noting that the examples are not all specific to interest rates. It briefly defines Asian, Bermudan, digital, barrier, and window-barrier options, then describes…

OptionsFixed incomeDerivatives pricingRisk management
Quant Q&A

The discussion considers why option-pricing models commonly use stock-return processes with finite variance, even when heavier tails are desired. It gives several explanations: the historical influence of Black–Scholes, mathematical and computational…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The discussion asks whether historical stock returns can be used to estimate volatility skew across option strikes. It distinguishes estimating at-the-money volatility from determining how implied volatility varies for out-of-the-money puts and calls, and…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks how to price options quickly during model calibration, comparing the Carr–Madan and COS methods. It highlights Variance Gamma models with stochastic arrivals and related models where cumulants may not be available in closed form. The…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document investigates why a VIX-like volatility estimate calculated from option prices can fall below the volatility used to generate synthetic options. The example uses Black–Scholes prices with constant volatility, zero interest rate, and zero cost of…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document compares cash-settled S&P 500 index options with options on S&P 500 futures, focusing on why both contract types may attract users despite similar index exposure. It identifies margin treatment as a key practical difference: futures-based…

OptionsFuturesUS marketsRisk management
Quant Q&A

The document discusses numerical pricing accuracy in the Heston stochastic volatility model, especially for very far out-of-the-money options near expiry. It contrasts a reported Gaussian quadrature error with option prices smaller than that error, raising…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document compares the time values of equally deep in-the-money European calls and puts with no dividends, using strikes the same dollar distance from spot. It applies put-call parity to split the difference in spot-based time values into a discounting…

OptionsDerivatives pricingVolatility
Quant Q&A

The document defines option open interest as the number of contracts that remain open, rather than the net difference between long and short positions. A contract is counted when one party holds a long position and another a short position; open interest…

OptionsDerivatives pricingMarket microstructure
Quant Q&A

The document explains why a Black–Scholes theta estimate can exceed an option’s current value without implying that the option will actually become negative. The closed-form theta is an instantaneous derivative, commonly stated per year; multiplying it by a…

OptionsDerivatives pricingVolatility
Quant Q&A

The answer explains which portfolio risk report fields can be scaled by position size and netted across trades. Most sensitivities, including Greeks, typically scale with notional, but aggregation needs care: unlike-for-like positions should be combined, and…

OptionsRisk managementPortfolio construction
Quant Q&A

The discussion outlines mortgage valuation as a problem of projecting cash flows under changing interest rates, borrower behavior, and discounting. A proposed simulation approach generates possible rate paths, calculates amortizing payments, and discounts…

Fixed incomeOptionsRisk managementBacktesting
Quant Q&A

The document answers a question about how far an asset price might move over a three-month horizon given its annualized volatility. The response treats the estimate as a static one-standard-deviation range, scaling volatility by the square root of time and…

VolatilityOptionsDerivatives pricingStatistics
Quant Q&A

The document asks how to value a one-year at-the-money European call when volatility is specified as 20% for the first half-year and 90% for the second half-year. The proposed answer combines the two periods’ variances, weighted by their durations, and takes…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document sets up an arbitrage check for calls on the same underlying with strikes 100, 120, and 130 and prices 8, 5, and 3. It represents a portfolio with signed quantities, requires a negative initial cost, and writes its maturity payoff across regions…

OptionsArbitrageDerivatives pricing
Quant Q&A

The document corrects a digital-call valuation under the stated risk-neutral dynamics, where the price has drift proportional to its current level and constant diffusion. The original calculation omitted the conditional mean of the terminal price, leading to…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks what information a binomial tree must retain when valuing an up-and-in barrier option. The response assumes a European-style contract and proposes using knock-in/knock-out parity: the value of the corresponding vanilla European option…

OptionsDerivatives pricingStatistics
Quant Q&A

The document presents a question about implementing Tilley’s algorithm for pricing American options through simulated asset paths. The shown R approach generates risk-neutral paths, works backward through exercise dates, sorts paths by asset value, estimates…

OptionsDerivatives pricingBacktestingStatistics
Quant Q&A

The document explores whether implied volatility in a diffusion model must be bounded by the model’s instantaneous volatility. It assumes the asset follows a stochastic-volatility diffusion under the pricing measure and considers a setting where…

OptionsVolatilityDerivatives pricing
Quant Q&A

The discussion explains how negative risk free rates affect equity and index option valuation. It says the Black Scholes framework can accommodate negative rates, and an answer suggests setting very small negative CHF rates to zero as a practical…

OptionsDerivatives pricingFixed income
Quant Q&A

The document asks whether a Heston stochastic volatility model and a local volatility model derived from it produce identical option prices. It points to a comparison in Gatheral’s book and asks whether the equivalence depends on spot and variance having…

OptionsVolatilityDerivatives pricing
Quant Q&A

For puts with the same underlying and expiry, the displayed bid and ask quotes generally increase as strike prices rise. The question arose because some last-traded prices appeared to violate that pattern, leading the answers to distinguish current quotes…

OptionsDerivatives pricingMarket microstructureExecution