Skip to content

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 poses a one-period binomial pricing question for a European call on a futures contract. It asks how to construct a replicating portfolio when the futures price can move up or down, and the underlying asset is itself a futures contract rather…

FuturesOptionsDerivatives pricing
Quant Q&A

The note explains why a single option market price generally maps to different implied volatility values under Black-Scholes and Bachelier pricing. Each model uses its own pricing formula, so matching the same option terms and price requires a model-specific…

OptionsVolatilityDerivatives pricing
Quant Q&A

The discussion explains how to estimate a one-standard-deviation price move from annualized at-the-money implied volatility. Under the usual square-root-of-time approximation, volatility is multiplied by the square root of the fraction of a year in the…

OptionsVolatilityStatistics
Quant Q&A

The document addresses why standard option pricing models do not include a separate input for a company’s estimated economic growth, including for options with long maturities. Its central explanation is that expectations about growth are already reflected…

OptionsDerivatives pricingEquities
Quant Q&A

The document addresses how to hedge an option across multiple periods in a binomial stock-price model. Its central point is that the hedge must be recalculated at each node of the tree, since the appropriate holdings depend on the price path taken so far.…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document shows how to represent straddle and strangle payoffs as combinations of European puts and calls, then add the component Black–Scholes prices and Greeks. A straddle combines a put and call at the same strike; a strangle combines them at different…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks how to form a return series for strategies whose cumulative profit and loss can become negative, in the context of statistical strategy comparisons such as White's Bootstrap Reality Check. The issue is that conventional log returns cannot…

StatisticsBacktestingOptionsForex
Quant Q&A

The document raises practical questions about constructing a local volatility surface from call prices using Dupire’s formula. It considers a bounded region of strike and maturity values and asks whether interpolation should be performed on the derivatives…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document asks where historical tulip mania prices can be obtained in a form suitable for statistical analysis. It describes the scarcity and uneven provenance of the surviving records: one compilation draws on sales across multiple varieties and market…

CommoditiesFuturesOptionsStatistics
Quant Q&A

The document discusses a Python implementation of standard Monte Carlo valuation for an arithmetic average price Asian call. The method simulates asset-price paths with lognormal one-step growth, averages prices along each path, calculates discounted…

OptionsDerivatives pricingBacktestingStatistics
Quant Q&A

The document asks whether a stated put-call symmetry for calls has a corresponding form when starting from a put. It gives the call-side relationships in terms of spot and strike, then proposes swapping the call and put roles and exchanging the relevant spot…

OptionsDerivatives pricing
Quant Q&A

The document addresses how to interpret the dividend-yield input when adapting a vanilla option delta or pricing framework to foreign exchange. Its answer explains that an FX option’s underlying is an exchange rate and that holding the foreign currency has…

ForexOptionsDerivatives pricing
Quant Q&A

The document considers writing a call against an existing long stock portfolio. The short call premium provides income and cushions some decline in the stock’s value, while the call obligation limits gains once the share price exceeds the strike. The…

OptionsEquitiesRisk managementPosition sizing
Quant Q&A

The document explains the European put-call parity relation by comparing two portfolios: a call plus cash that grows to the strike, and the underlying asset plus a put. At expiry, both positions have the same payoff, so the law of one price implies equal…

OptionsDerivatives pricing
Quant Q&A

The document examines whether a normal diffusion for a stock price, whose relative volatility falls as price rises, must produce a downward sloping lognormal implied volatility curve. It presents competing arguments based on vanilla option prices and on the…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document points to the Litzenberger formula as a way to estimate risk-neutral probabilities from option prices. It identifies S&P 500 options as the example data and notes that their strikes are commonly spaced at five-point intervals. It also suggests…

OptionsDerivatives pricingUS marketsStatistics
Quant Q&A

The document derives a risk-neutral price for a European payoff that receives the asset value when the terminal price is at or below a strike and pays the negative strike when the price is above it. With zero interest rates and a lognormal terminal asset…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks whether Longstaff–Schwartz Monte Carlo is generally the preferred method for Bermudan or American option pricing. The response favors a binomial tree for American-style options, based on a comparison with Longstaff–Schwartz. It describes…

OptionsDerivatives pricingStatistics
Quant Q&A

The document considers whether an investor who owns a stock should sell it and use a futures contract to keep similar market exposure when the future trades below the stock. Its suggested method is to compare the expected cash flows and costs of each…

EquitiesFuturesOptionsDerivatives pricing
Quant Q&A

The document compares two common ways to calculate a put-call ratio from options open interest: puts divided by calls, and puts divided by the combined put and call total. It also notes that the ratio can instead use trading volume or a selected subset of an…

OptionsSentimentTechnical indicators
Quant Q&A

The document explores whether an underlying asset’s expected return should affect a Black–Scholes option premium through the dealer’s expected losses from dynamic delta hedging. It contrasts a call priced under a zero drift assumption with a hypothetical…

OptionsDerivatives pricingRisk management
Quant Q&A

The document explains how to estimate a confidence interval for a European call price using Monte Carlo simulation. The recommended procedure is to calculate the option payoff in each scenario, including zero payoffs when the underlying finishes below the…

OptionsStatisticsDerivatives pricing
Quant Q&A

The document describes why the VIX often rises during stock-market declines. It emphasizes that VIX is calculated from a strip of options rather than directly from stock prices, with option contributions weighted by strike. When the market falls, realized…

OptionsVolatilityUS markets