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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
Binance API docs
45 documents
Quantopian lectures
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 explains how an option’s strike price relates to its intrinsic value, the portion of an option’s value associated with exercising it immediately. A call gives its holder the right to buy the underlying asset, so it has positive intrinsic value…

OptionsDerivatives pricing
Quant Q&A

The discussion asks how volatility that changes over time affects option prices and implied volatility, and how those effects vary with maturity. One response reasons that greater uncertainty in the underlying’s path can raise an option’s value, while…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document outlines a finite-difference approach to pricing a European call by evolving the underlying asset’s probability density under a geometric Brownian motion model. It starts with a forward Kolmogorov equation, discretizes time and the asset-price…

OptionsDerivatives pricingStatisticsBacktesting
Quant Q&A

The document explains why delta hedging does not eliminate a market maker’s exposure to a large overnight move in the underlying stock. A hedge offsets the option’s current directional sensitivity, but a sudden price jump can change the option’s value before…

OptionsEquitiesMarket makingRisk management
Quant Q&A

The document addresses the challenge of obtaining reliable end-of-day historical prices for Indian equities and calculating returns that are not distorted by corporate actions. It identifies the National Stock Exchange as a source of end-of-day and intraday…

EquitiesFuturesOptionsBacktesting
Quant Q&A

The question concerns calibrating a swaption model when Bloomberg provides normal volatilities at several strikes around the at-the-money forward swap rate. A least-squares calibration requires market prices as targets, but the author does not know which…

OptionsDerivatives pricingVolatilityFixed income
Quant Q&A

The document examines why a variance swap’s market price may differ from a theoretical price based on replicating the payoff with a strip of European options. The standard replication formula relies on a continuous, jump-free price process. A contract’s…

OptionsVolatilityDerivatives pricingMarket microstructure
Quant Q&A

The document presents possible master’s thesis directions in option pricing, aimed at a beginner seeking a manageable empirical or model-comparison project. One suggestion is to fit a GARCH volatility model to market data, use it in Monte Carlo option…

OptionsVolatilityMachine learningBacktesting
Quant Q&A

The document raises two conceptual questions about the Black–Scholes replicating portfolio: whether changing the hedge ratio requires unlimited funding, and why risk is described through changes in portfolio value rather than cash flows into it. It…

OptionsDerivatives pricingRisk management
Quant Q&A

The discussion considers whether the standard SABR implied volatility approximation can be calibrated to quotes with negative strikes. The accepted answer explains that the cited Hagan formula relies on a log-moneyness expression and does not apply when…

Derivatives pricingVolatilityOptions
Quant Q&A

The document explains why pricing a multi-index structured option requires more than estimating historical average returns and covariance, then simulating under a multivariate normal distribution. It identifies risk-neutral pricing as the framework: discount…

OptionsMulti-assetDerivatives pricingVolatility
Quant Q&A

The document derives the initial value of a claim whose payoff is the terminal stock price raised to a positive integer power in a Cox-Ross-Rubinstein binomial model. Under the risk-neutral measure, it discounts the expected terminal payoff at the per-period…

OptionsDerivatives pricingStatistics
Quant Q&A

The document clarifies the relationship between a derivative’s payoff shape, its delta, and the need for a pricing model. A claim with payoff linear in the underlying price, expressed as a times the stock price plus b, can be replicated by a position in the…

Derivatives pricingOptionsArbitrage
Quant Q&A

This question asks how the general Hagan SABR implied-volatility expression simplifies at the at-the-money point. It focuses on understanding why the ratio involving the transformed variable and its auxiliary function takes its limiting value, allowing the…

Derivatives pricingVolatilityOptions
Quant Q&A

The document explains how incoming market orders are matched against resting limit orders. Exchanges generally prioritize the best available price, then apply venue-specific tie-break rules. The examples include time priority (FIFO), pro-rata allocation…

Market microstructureExecutionFuturesOptions
Quant Q&A

The document asks whether to estimate log-return risk for an option on a cash-settled index future using futures prices or the underlying index, and how much history to use. The response focuses on the hedge instrument: because the option exposure is to the…

FuturesOptionsRisk managementDerivatives pricing
Quant Q&A

The question considers a three-step binomial stock model and asks how to verify that the process is a martingale. It supplies an initial stock price, up and down multipliers, and an interest rate, and mentions candidate probabilities, but focuses on…

OptionsDerivatives pricingStatistics
Quant Q&A

The document discusses replicating a variance swap with a strip of delta-hedged out-of-the-money calls and puts when the available single-stock options are American. It asks whether those contracts can be handled like European options if the replication…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The response surveys embedded options and contingent cash-flow features found in bonds, loans, and preferred equity. Examples include step-up coupons, calls and puts, floating-rate floors and gearing, pay-in-kind coupons, dual-currency payments, and coupons…

Fixed incomeOptionsDerivatives pricingRisk management
Quant Q&A

The document asks how to assign funding costs to options in a profit-and-loss model, especially when options are hedged with physical equities or bonds. It contrasts funding charges on securities, which may be financed or lent through repo, with futures’…

OptionsEquitiesDerivatives pricingRisk management
Quant Q&A

The document outlines how an investment bank can earn revenue from structured notes, including notes with embedded calls or autocall features. When a bank sells a note, it takes the other side of the client’s market view. It generally hedges exposures it…

OptionsDerivatives pricingRisk managementExecution
Quant Q&A

The document addresses how to compare implied and realized volatility for swaptions when rates approach or fall below zero. The questioner uses broker-quoted normal at-the-money volatility, expressed in basis points, and finds that converting percentage…

Fixed incomeOptionsVolatilityStatistics
Quant Q&A

A power reverse dual-currency note can be viewed as a leveraged bet on the exchange rate relative to its forward curve. In a simplified USD/JPY example, each coupon is a positive-part payoff that becomes a call option on USD/JPY, with the strike determined…

ForexOptionsCarryVolatility
Quant Q&A

The document asks how a backtest should model early exercise when short an American option. It contrasts using an arbitrary threshold for exercise with treating the contract like a European option, then describes exercise considerations that depend on option…

OptionsBacktestingDerivatives pricingEquities