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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 asks how continuous foreign exchange hedging changes the volatility of an overseas asset, distinguishing a domestic-currency investment from a quanto option. For an unhedged asset translated into domestic currency, it explains that the return…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document distinguishes a broad implied volatility index from implied volatility values used to analyze individual options. Taking the VIX as an example, the response describes it as summarizing a roughly 30-day volatility measure derived from…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document examines whether selling equity puts can provide a dependable business or outperform savings. It explains the basic compensation argument: put sellers accept downside exposure in exchange for option premium, reflecting demand for protection…

OptionsEquitiesRisk managementVolatility
Quant Q&A

The document explains why a European call’s maturity payoff can be written as the positive part of the difference between the asset price and the strike: this is the definition of the option. It then addresses how the option’s value evolves before maturity.…

OptionsDerivatives pricingStatistics
Quant Q&A

The note describes how a two-outcome stock-price distribution can produce a volatility smile. In the example, a biotech company’s value either jumps upward after regulatory approval or falls sharply after denial. The method prices a call at each strike by…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document asks how to recover a risk-neutral distribution for an underlying asset from option prices using the Breeden-Litzenberger relationship. It describes estimating the probability density at a strike from the second derivative of call prices,…

OptionsDerivatives pricingStatisticsVolatility
Quant Q&A

This note addresses minimum-variance hedging for vanilla options in a binomial-model setting. When the hedging stock is the option's own underlying, the response recommends using the option position's net delta to determine the stock hedge. The binomial…

OptionsEquitiesDerivatives pricingRisk management
Quant Q&A

The discussion asks whether increasing total implied variance is a valid calendar-arbitrage test when an equity pays both discrete cash dividends and proportional dividends. It contrasts a result attributed to Gatheral and Jacquier, where increasing total…

OptionsVolatilityArbitrageDerivatives pricing
Quant Q&A

The document collects book recommendations for readers beginning quantitative finance, especially those drawn to mathematics. Its suggestions span derivatives pricing, financial statistics and data analysis, time-series analysis, numerical methods,…

Derivatives pricingOptionsStatisticsMachine learning
Quant Q&A

The document describes the payoff of a principal-protected note that returns a specified portion of the notional at maturity and adds a participation-rate share of any positive stock return. It rewrites the premium in return terms, clarifying that the…

EquitiesOptionsDerivatives pricingPortfolio construction
Quant Q&A

The document explains why an option pricing engine may calculate one European option price and derive its paired call or put price using put-call parity. Because parity is a no-arbitrage relationship, deriving the second price from the first helps keep the…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document discusses fitting a Heston option pricing model when short-dated quotes have wide bid-ask spreads. It recommends using quote uncertainty in the calibration objective: take the midpoint as the observed price, then give tighter-spread quotes more…

OptionsDerivatives pricingVolatilityMarket microstructure
Quant Q&A

The document clarifies how to represent a firm’s equity when simulating its asset value under structural credit models. In the Merton model, firm assets follow a geometric Brownian motion and equity is a call option on those assets, with debt represented by…

EquitiesFixed incomeOptionsDerivatives pricing
Quant Q&A

The document explains how a market volatility smile can be observed and offers a possible reason that the Heston stochastic volatility model may fit longer-dated options better than short-dated options. A smile is inferred from the implied volatilities of…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document considers how to implement and backtest a strategy that writes call options across a security universe. The suggested first step is to reduce the problem to a manageable baseline: use options with a common expiry, apply an option pricer, choose…

OptionsBacktestingVolatilityMean reversion
Quant Q&A

The document examines how Vanna–Volga implied volatility adjustments relate to mark-to-market option hedging risk. It constructs a target call and a weighted portfolio of three other calls. The target's adjusted value is obtained by applying the difference…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document explains a differential identity used in a derivation of hedging profit. The expression relates the difference in changes of two option values, adjusted for the risk-free rate, to the change in their discounted value difference. The answer…

OptionsDerivatives pricingRisk management
Quant Q&A

The document discusses how to hedge an option under the Heston stochastic-volatility model using another option and the underlying stock. Its starting point is to offset the target option’s sensitivity to variance with a volatility hedge, then choose the…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The note explains why the two cumulative normal terms in the Black–Scholes call formula differ. The strike payment is discounted using the risk-neutral probability that the option finishes in the money, represented by N(d2). The stock-value term is an…

OptionsDerivatives pricingStatistics
Quant Q&A

The note derives when a cash-or-nothing digital call's price rises with volatility under Black–Scholes assumptions. It starts from the option's vega, whose sign is determined by the negative of d1 because the remaining density and discounting factors are…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks whether public sources provide option-implied skewness and kurtosis, especially for European equity indices, and explains why the researcher is seeking an alternative measure: their computed kurtosis is unstable for use in regression, while…

OptionsVolatilityStatisticsDerivatives pricing
Quant Q&A

The example explains an arbitrage when a European call is priced too cheaply relative to the stock and the financing rate. The strategy buys the call and shorts the stock, investing the net cash proceeds. At expiry, if the stock is above the strike,…

OptionsArbitrageDerivatives pricing
Quant Q&A

The document resolves an apparent disagreement between two formulas for the expected future stock price. The difference comes from how the model defines its drift parameter. If the logarithm of the stock price has drift μ, its distribution implies an…

StatisticsDerivatives pricingOptions
Quant Q&A

The document describes practical experience with a normal Libor Market Model as an alternative to a shifted lognormal model. In a higher-rate environment where receiver options were more expensive than comparable payer options, the normal model’s symmetric…

Fixed incomeOptionsVolatilityDerivatives pricing