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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
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 addresses fitting SABR to market volatility smiles quoted in normal and lognormal conventions. It distinguishes the volatility convention used to translate SABR prices into implied volatility: normal market quotes should be compared with normal…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explains why a continuously monitored knock-out option’s value approaches zero as the underlying price reaches its barrier. For driftless Brownian motion, the reflection principle relates the probability of crossing a nearby barrier before…

OptionsDerivatives pricingStatistics
Quant Q&A

The document raises a pricing question about autocallable products: why their value can depend on volatility of volatility and the forward smile, and why a local stochastic volatility model may be appropriate. The questioner offers a hedging intuition for…

OptionsVolatilityDerivatives pricing
Quant Q&A

The discussion asks how to price options with several expiration dates when volatility figures are supplied for successive years. The replies distinguish two interpretations: separate vanilla options observed in 2015, or forward volatility periods used to…

OptionsVolatilityDerivatives pricing
Quant Q&A

The discussion asks why an American option’s price should be continuous around an ex-dividend date and sketches an argument based on when early exercise is optimal. During periods when exercise is not optimal, the American option behaves like a European…

OptionsDerivatives pricing
Quant Q&A

The document works through a Ho-Lee short-rate model with a Brownian short rate and derives the zero-coupon bond price, its stochastic differential equation, and the discounted bond’s dynamics. It then constructs the forward-measure density from the bond…

Fixed incomeDerivatives pricingOptionsVolatility
Quant Q&A

The document asks whether a European call’s delta must stay at or below one in an equity model with zero rates and dividends. Its answers show that this is not a general model-free bound: delta depends on how the option price changes with the current…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document poses a one-period option-pricing problem in which three calls share an underlying and maturity, and their strikes are evenly spaced. It assumes the middle-strike call costs more than the average price of the two outer-strike calls, then asks…

OptionsArbitrageDerivatives pricing
Quant Q&A

The document explains why the prices of two calls on the same underlying and maturity cannot differ by more than the discounted difference between their strikes. Its main method combines put-call parity with the no-arbitrage ordering of option prices: a call…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document introduces the uncertain volatility model (UVM), which represents volatility as unknown within specified lower and upper bounds, and asks how it compares with stochastic volatility models. Its appeal is a tractable way to incorporate volatility…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document explains the typical effect of decreasing time to expiration on option delta, holding strike and other conditions comparable. As time value declines, an in-the-money option tends to behave more like its underlying, so its delta moves toward one…

OptionsDerivatives pricingVolatility
Quant Q&A

The note contrasts two ways to represent volatility when modeling option prices. A local volatility model makes volatility a deterministic function of the underlying asset level and time. A stochastic volatility model instead allows volatility to evolve…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document concerns recovering implied volatility from option prices when options are out of the money, where a direct closed-form inversion of the Black–Scholes price is unavailable. It points readers toward numerical methods and published work, including…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document addresses negative prices produced for low-priced, out-of-the-money calls while calibrating a stochastic-volatility model. Its central explanation is numerical: if option prices are computed by numerical integration, approximation error can…

OptionsDerivatives pricingVolatility
Quant Q&A

The document compares option deltas under sticky-strike and sticky-delta assumptions. With sticky strike, implied volatility is held fixed at a strike as spot changes, making the option’s spot sensitivity the usual Black–Scholes delta in that setup. With…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document gives a proposed way to estimate the aggregate vega exposure of volatility-linked exchange-traded products. For an individual product, the answer scales its shares outstanding by share price and leverage, then divides by the one-month…

VolatilityOptionsDerivatives pricingRisk management
Quant Q&A

The document considers three cointegrated stocks with known portfolio weights and a mean-reversion view: when the weighted portfolio falls unusually low, a trader may expect it to recover. It first describes matching the portfolio’s directional exposure by…

EquitiesOptionsMean reversionPairs trading
Quant Q&A

The document asks how market makers handle heavy customer selling in short-dated, deep out-of-the-money options. Its example describes a dealer buying puts, delta-hedging, and accumulating long exposure to volatility skew and tail convexity. The question…

OptionsMarket makingVolatilityRisk management
Quant Q&A

The document explores which derivatives can be described by the standard Black-Scholes PDE. Its main explanation is that the PDE applies when the derivative’s value can be represented using time and the current underlying price as the changing state…

OptionsDerivatives pricingStatistics
Quant Q&A

The discussion presents the Black formula for a caplet and asks how to differentiate its price with respect to the forward rate and volatility. It states the familiar forward delta as the discounting and accrual factors multiplied by the normal cumulative…

Fixed incomeOptionsDerivatives pricingVolatility
Quant Q&A

The discussion derives the generalized Fourier transform of a European put payoff, defined as the positive part of strike minus the underlying price, when the underlying is represented in log-price coordinates. Integrating only over log prices below the log…

OptionsDerivatives pricingVolatility
Quant Q&A

The discussion asks whether ATM swaption volatilities indexed by expiry and tenor must satisfy no-arbitrage conditions. It explains that there are no direct no-arbitrage restrictions across such quotes because each swaption is written on a different…

Fixed incomeOptionsArbitrageVolatility
Quant Q&A

The document explains why delta hedging a cash-or-nothing binary option becomes impractical near expiry. Under the stated lognormal pricing model, the option value is discounted and proportional to the cumulative normal probability of the terminal price…

OptionsDerivatives pricingRisk management
Quant Q&A

The document examines whether a steeper downside volatility skew raises or lowers the price of an at-the-money binary call expiring the next day. It explains that a digital call’s value is tied to the risk-neutral probability that the underlying finishes…

OptionsVolatilityDerivatives pricingStatistics