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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 surveys ways to simulate Lévy processes with infinitely many jumps, including CGMY and Meixner models. One approach uses the characteristic function to recover a distribution for inverse-transform sampling. Other methods exploit representations…

StatisticsDerivatives pricingOptionsBacktesting
Quant Q&A

Normal and shifted lognormal volatility quotes can represent the same current swaption or cap/floor price. The document explains why this price agreement does not make the models’ Greeks agree: Greeks describe how prices change as market inputs move, and the…

OptionsFixed incomeDerivatives pricingRisk management
Quant Q&A

The document compares two ways to derive a claim’s price in a binomial market. Backward induction explicitly constructs a replicating hedge at each step and uses the absence of arbitrage to identify the price. A second presentation introduces self-financing…

OptionsDerivatives pricingStatistics
Quant Q&A

The document raises a market-convention question about quoting delta and term pairs on FX volatility surfaces for EUR/PLN and EUR/USD. It suggests that EUR/PLN may use forward delta throughout, while EUR/USD may use spot delta through one year and forward…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document analyzes how a European in-the-money call's Black–Scholes delta changes when time to expiration increases. Delta is the standard normal cumulative probability evaluated at d1, so its sensitivity to time depends on how d1 changes, not simply on…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains how to express a Black–Scholes-style lognormal price distribution using SciPy’s lognormal parameterization. If a price variable is the exponential of a normally distributed variable, the normal variable’s standard deviation corresponds…

OptionsDerivatives pricingStatistics
Quant Q&A

The document considers a short call hedged with stock. As the underlying price changes, the option’s delta changes because an option’s value is nonlinear in the stock price. A stock position sized to offset delta at the initial price therefore may no longer…

OptionsDerivatives pricingRisk management
Quant Q&A

The document explains how a call option can be replicated in a one-period, two-state stock model. A portfolio holding a suitable number of shares and borrowing or lending cash is chosen to match the call’s payoff in both the up and down states. Its initial…

OptionsDerivatives pricingArbitrage
Quant Q&A

The discussion distinguishes variance from volatility, understood here as standard deviation, and asks how a variance measure can reflect implied volatility across option strikes. One answer focuses on statistical estimation: variance is a parameter of a…

OptionsVolatilityStatisticsDerivatives pricing
Quant Q&A

The document asks whether adding the individual option P&Ls in a foreign exchange options book gives the portfolio value. Its brief answer says yes and notes that foreign exchange markets can move around the clock, making ongoing exposure monitoring…

ForexOptionsRisk management
Quant Q&A

The document considers a leveraged turbo certificate whose value depends on the underlying price and a financing level. The financing level grows over time with daily interest, while a barrier level triggers a total loss if reached. The question asks whether…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document explains a calendar arbitrage in a simplified setting: European calls on a non-dividend-paying stock with zero interest rates. If the shorter-dated call costs more than a longer-dated call at the same strike, the proposed trade is to sell the…

OptionsArbitrageDerivatives pricing
Quant Q&A

The document examines whether a swaption’s theta can be estimated from gamma and implied volatility, and why a model’s reported theta may differ from that estimate. Under the normal model, the response identifies theta as approximately negative one half of…

OptionsFixed incomeVolatilityDerivatives pricing
Quant Q&A

The document separates the effect of correlation on an individual caplet from correlation among forward rates along the yield curve. A caplet pays based on one forward rate at its expiry. Since its payoff depends on that rate alone, correlation with other…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document discusses a proposed options spread that sells deep out-of-the-money puts and buys puts closer to the money to investigate whether far out-of-the-money puts carry a crash risk premium. The response characterizes the short-put exposure as selling…

OptionsVolatilityRisk management
Quant Q&A

The note concerns reproducing an implied volatility surface for foreign exchange options, with the intention of using it to calculate local volatility. The questioner suspects that strike discrepancies may stem from the forward exchange rate calculation or…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The note explains how a stock option pricing routine can be adapted to price an option on a futures contract. Its approach converts the observed futures price into a discounted pseudo spot price using the relationship between futures, interest rates, and any…

OptionsFuturesDerivatives pricing
Quant Q&A

The document examines a step in Black–Scholes reasoning: delta hedging removes the diffusion term from a portfolio’s dynamics, leaving an integral over time of terms involving derivatives of the option value and the underlying price. It asks why this…

OptionsDerivatives pricingStatistics
Quant Q&A

The document describes a European call whose exercise condition depends only on one commodity futures contract, while exercise also grants the holder a second futures contract. The payoff is the usual positive excess of the first asset over the strike, plus…

CommoditiesFuturesOptionsDerivatives pricing
Quant Q&A

The document asks how to pair a large underlying price shock with plausible implied volatility changes when stress testing an options portfolio. It compares three approaches: applying a uniform volatility increase, using a high historical volatility level,…

OptionsVolatilityRisk management
Quant Q&A

The document examines raw moments of a straddle payoff at expiry and asks whether the call and put components can be treated as independent. For a call payoff C and put payoff P at the same strike and maturity, the accepted explanation notes that both cannot…

OptionsDerivatives pricingStatisticsVolatility
Quant Q&A

The document asks how to interpret a claim that single-factor interest-rate models can make the vanilla-option hedge for a Bermudan option sensitive to changes in the yield curve. The author observes that hedges in any model may need rebalancing when rates…

Fixed incomeOptionsRisk managementDerivatives pricing
Quant Q&A

The document considers calibrating Hull-White and Jarrow-Yildirim interest rate models when only nominal and inflation-indexed bond prices are available. It clarifies that in the Hull-White bond formula, time zero represents a bond starting now, the…

Fixed incomeOptionsVolatilityDerivatives pricing
Quant Q&A

The document examines a common misunderstanding in Black-Scholes: with spot equal to strike and a zero interest rate, the exercise probability is not generally one half. Under the model, the probability of finishing in the money is represented by the…

OptionsDerivatives pricingStatistics