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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 considers how binary options differ conceptually from casino bets. One answer distinguishes the underlying risk: financial contracts can reference economic outcomes that matter to investors and businesses even without the contract, such as…

OptionsDerivatives pricingRisk management
Quant Q&A

The document explains dollar rolls from the perspective of the buyer, who purchases TBA mortgage-backed securities for a nearer month and sells them for a later month. Because delivery follows SIFMA guidelines and allows variation in pool characteristics…

Fixed incomeOptionsVolatilityCarry
Quant Q&A

The document derives European put-call parity by comparing a long call and short put at the same strike and maturity with a long forward contract. Their terminal payoffs match in every case: above the strike, the call pays the difference; below it, the short…

OptionsDerivatives pricingArbitrage
Quant Q&A

The question asks for an intuitive explanation of the Black–Scholes result that an at-the-money call's delta approaches one as volatility tends to zero when the risk-free rate is positive. The poster understands the formula but is trying to interpret its…

OptionsDerivatives pricingVolatility
Quant Q&A

This discussion concerns a research project comparing historical, implied, and stochastic volatility approaches for forecasting future volatility. The researcher has implemented several historical-volatility estimators, including moving and exponential…

VolatilityStatisticsOptions
Quant Q&A

The document asks how to determine whether a market with a stock, a bond, and call options admits arbitrage when the option’s time-zero price is unknown. It proposes using the stock and bond alone to derive a range of state prices, then checking whether…

OptionsArbitrageDerivatives pricing
Quant Q&A

The document surveys tools and references for constructing an options volatility surface from strike prices and bid–ask quotes. It mentions QuantLib, NAG, Intermark toolkits, an empirical study with source code, OpenGamma Strata, and research on consistent…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document compares two descriptions of implied-volatility smile dynamics under local volatility. Derman’s account focuses on a negatively skewed equity market: as the index rises, local volatility is lower, and as it falls, local volatility is higher.…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document investigates why a Monte Carlo estimate for a European call differs from a binomial-tree value. The accepted explanation identifies the simulation’s use of first-order Euler steps for geometric Brownian motion as a source of bias, especially at…

OptionsDerivatives pricingBacktestingStatistics
Quant Q&A

The document discusses why a delta-hedged option portfolio is assigned the risk-free return in no-arbitrage pricing. It describes a short call hedged with stock and considers the portfolio value as the stock hedge minus the call liability. One answer…

OptionsDerivatives pricingArbitrageRisk management
Quant Q&A

The document explains how a vanilla option’s price changes when the underlying price and strike are both rescaled by the same factor, with implied volatility, time to expiry, and other pricing inputs held constant. In its example, reducing both the…

OptionsDerivatives pricing
Quant Q&A

The document explains intuitive bounds for a dual digital payoff that pays when two digital option conditions are both met. If the individual event probabilities are 0.7 and 0.8, the joint probability cannot exceed the smaller probability: the less likely…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks how to extend an Excel Monte Carlo pricer to value American options, which allow exercise before expiration. It mentions least-squares methods associated with Longstaff and Schwartz, but the questioner finds that approach difficult to…

OptionsDerivatives pricingBacktesting
Quant Q&A

The document examines how to apply a Vanna-Volga adjustment to an up-and-in put. The question proposes starting with a flat-volatility Black-Scholes barrier price and adding a hedge-cost adjustment based on market prices of vanilla options, with hedge…

OptionsDerivatives pricingVolatilityArbitrage
Quant Q&A

The document describes a plan to forecast daily realized volatility from S&P 500 returns and then evaluate a straddle strategy using historical options data. The author has calculated log returns and rolling volatility and asks how to retain fitted values…

EquitiesUS marketsVolatilityOptions
Quant Q&A

The document asks about an asymptotic expansion used in a paper on convergence of European option prices under binomial trees. It presents an expression for the inverse function used in the Leisen–Reimer construction, followed by a claimed large-step…

OptionsDerivatives pricingStatisticsBacktesting
Quant Q&A

The document addresses how to label nodes in a binomial price tree with more than one step. It compares a conventional two-step representation associated with John Hull’s presentation to an alternative notation proposed by the questioner. The response…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks whether a single stock’s correlation with an equity index can be inferred from that stock’s implied volatility and the index’s implied volatility alone, without historical statistical analysis. The response says those inputs do not directly…

OptionsEquitiesVolatilityStatistics
Quant Q&A

The document surveys sources for identifying derivatives by ISIN and explains why coverage is uneven. In the European Union, ESMA's FIRDS database provides a large, downloadable collection of instruments reported under applicable rules, including…

Derivatives pricingOptionsFuturesFixed income
Quant Q&A

The document explains how banks may price and hedge target redemption forwards (TARFs), emphasizing that the approach resembles hedging other derivatives but becomes complex because TARFs have many structural variations. Pricing commonly relies on stochastic…

ForexDerivatives pricingOptionsRisk management
Quant Q&A

The document distinguishes option vanna from the broader relationship between equity prices and implied volatility. Vanna measures how delta changes with implied volatility, equivalently how vega changes with spot. Its sign depends on strike relative to…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document explains why standard mathematical finance models generally treat stock prices as nominal amounts. Derivative contracts such as fixed-strike options are specified in nominal currency, so modeling a stock in inflation-adjusted terms would require…

Derivatives pricingOptionsFixed incomeStatistics
Quant Q&A

The document explains that retail investors may be able to sell exchange-traded calls and puts directly, subject to broker access, margin requirements, and local rules. Selling an option creates a short position in that contract; it does not require…

OptionsDerivatives pricingRisk managementUS markets
Quant Q&A

The document examines the at-the-money-forward straddle approximation under a Black–Scholes geometric Brownian motion model. It starts from the straddle payoff’s risk-neutral expectation, expresses the terminal price using a lognormal density, and changes…

OptionsDerivatives pricingVolatilityStatistics