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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 a question about replicating a call option on a six-month zero-coupon bond, with the option expiring in six months. The questioner identifies the bond at the option’s expiry as the underlying and asks why the replication equation also…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document discusses the derivation of an option pricing equation for a stock with stochastic volatility. It asks what can serve as a second asset for hedging volatility exposure and how the volatility risk premium relates to the familiar Black–Scholes…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document explains why comparing historical volatility (HV) with implied volatility (IV) requires matching their forecast horizons. IV is inferred from option prices and is forward-looking; HV is estimated from realized underlying returns and is…

OptionsVolatilityStatistics
Quant Q&A

The document asks how to query an implied volatility surface when simulating an option under a local volatility model. The surface is described in terms of log forward moneyness and expiry. For vanilla implied volatility, the questioner uses the expiry…

OptionsVolatilityDerivatives pricing
Quant Q&A

The question seeks binomial-model parameters that would make early exercise possible for an American call. The answer gives a general condition instead of a numerical example: a positive dividend rate or a negative interest rate is needed. Under the standard…

OptionsDerivatives pricing
Quant Q&A

The discussion compares approaches to simulating the Heston stochastic volatility model, prompted by a moment-matching method that can fail when volatility of volatility is large and the Feller condition is strongly violated. In that method, equations for…

OptionsVolatilityDerivatives pricingBacktesting
Quant Q&A

The document shows how to price a claim that pays only when a stock finishes at one specified discrete price. For an interior state, a tight butterfly made from calls at the target strike and the adjacent strikes reproduces the one-state payoff. Its…

OptionsDerivatives pricingArbitrage
Quant Q&A

This note addresses apparent asymmetry between out-of-the-money put and call implied volatilities near at-the-money. It attributes the discontinuity in the displayed data to an implied-volatility calculation that uses the spot index in place of a…

OptionsDerivatives pricingVolatilityArbitrage
Quant Q&A

This discussion explains why daily delta rebalancing can leave substantial losses when an underlying makes a large discontinuous move. In a continuous price model, frequent rebalancing can offset local price exposure, but a jump creates a move that the hedge…

OptionsDerivatives pricingRisk managementPortfolio construction
Quant Q&A

The document asks whether Heston model calibration requires first constructing a smoothed, arbitrage-free implied volatility surface, as is commonly needed in local volatility work. The accepted response describes Heston calibration as fitting model…

OptionsDerivatives pricingVolatilityArbitrage
Quant Q&A

The note describes a volatility surface calibrated with singular value decomposition, comparing current implied volatilities with a previous surface. For maturities without market quotes, the author extrapolates at-the-money volatility using forward…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks whether theta should be combined with delta when estimating an option’s leverage and expected price change. Its example considers a call option whose delta estimates the effect of a one-unit increase in the underlying, while theta…

OptionsDerivatives pricingRisk management
Quant Q&A

The document asks how a call writer’s risk-free asset position changes over time in a Black–Scholes delta hedge. It states the stock position as the call’s delta, given as the cumulative normal distribution evaluated at d1, and proposes an initial risk-free…

OptionsDerivatives pricingRisk management
Quant Q&A

The document asks for the probability distribution of a European call option's price at an intermediate time under the risk-neutral measure. The response starts from the Black–Scholes pricing function, which maps the underlying asset price and time to…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document asks why a volatility model should calibrate the S&P 500 index and VIX together, and whether an underlying asset’s model should use implied or realized volatility. Its answer links the indices through VIX’s construction: VIX is derived from a…

EquitiesOptionsVolatilityDerivatives pricing
Quant Q&A

The document surveys ways to simplify Black–Scholes calculations, with a particularly compact approximation for short-dated, at-the-money options. Expanding the normal distribution function around zero gives an option value proportional to spot, volatility,…

OptionsDerivatives pricingVolatilityMachine learning
Quant Q&A

The document discusses why an equity index and its implied volatility index can move in opposite directions intraday. It presents dealer hedging as one explanation: demand for protective puts and call writing can leave dealers exposed to volatility,…

OptionsVolatilityMarket makingMarket microstructure
Quant Q&A

The document answers which sensitivities to use when estimating historical VaR with a delta-gamma approximation. For a portfolio containing an option, the method applies the option's current delta and gamma to a series of historical underlying price changes.…

OptionsRisk managementBacktestingDerivatives pricing
Quant Q&A

The document explains why option risk should be assessed using position-level Greeks rather than the Greek quoted for one contract. It gives the example of a short call position and notes that contract multipliers and position size scale delta exposure. It…

OptionsDerivatives pricingRisk management
Quant Q&A

The document asks whether non-dividend-paying assets beyond the underlying stock, such as a call option, have risk-free instantaneous expected growth under a risk-neutral measure. Its explanation uses the martingale property of discounted prices: when a…

Derivatives pricingOptionsStatistics
Quant Q&A

The document considers simple risk limits for an options trading operation, including concerns about relying on Value at Risk, monitoring gamma and vega, and applying straightforward stress scenarios. The response proposes using the broker’s portfolio margin…

OptionsRisk managementPosition sizing
Quant Q&A

The document asks whether a stochastic integral appearing in a geometric Asian option valuation is measurable with respect to the Brownian filtration at time t. It points to a professor's expression in which a conditional expectation given that filtration is…

OptionsStatisticsDerivatives pricing
Quant Q&A

The document discusses how to value the flexibility to switch between two technologies at several future dates. It contrasts a formula that adds option values across dates with standard American option valuation, where each lattice node compares the exercise…

OptionsDerivatives pricing