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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 concerns retrieving historical option identifiers through Refinitiv Eikon or Datastream services, especially for expired contracts linked to an underlying security. The question asks how to turn an ISIN, RIC, or mnemonic into a list of…

OptionsDerivatives pricingExecution
Quant Q&A

The document asks which options lack closed-form pricing formulas and describes several cases where numerical methods are commonly used. The answer points to American options, whose early-exercise feature requires checking whether exercising is preferable at…

OptionsDerivatives pricingStatistics
Quant Q&A

The document compares computational approaches for long-dated American options. One answer recommends implicit or Crank–Nicolson finite-difference methods: these can use larger time steps on a given price grid than a binomial tree and can restrict the…

OptionsDerivatives pricingVolatilityFixed income
Quant Q&A

The document examines whether a simple chooser option can be valued as the sum of a call and a put. The proposed algebra uses put-call parity to express the maximum of call and put values as a call plus a put-like term. The answer confirms the decomposition…

OptionsDerivatives pricing
Quant Q&A

The document frames a stress-testing problem for a portfolio exposed to an equity index through short autocallables and other worst-of basket products, short exchange-traded puts, and long underlying holdings. It lists potential risk drivers: falling prices,…

OptionsEquitiesVolatilityRisk management
Quant Q&A

The document asks why a binomial option-pricing derivation uses a portfolio combining a long option with a short position in the underlying stock. In its one-step example, the stock starts at a stated price and can move up or down by one unit; the call…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explores whether implied volatility represents the market’s expected volatility, why volatility often rises as equity prices fall, and why out-of-the-money puts tend to have higher implied volatility than calls. One answer notes that…

OptionsVolatilityDerivatives pricingEquities
Quant Q&A

The document asks how to estimate local volatility with Dupire’s formula using finite differences in option prices across maturity and strike. Its answer stresses that local volatility is a function of time and the underlying price, rather than a volatility…

OptionsVolatilityDerivatives pricingArbitrage
Quant Q&A

The discussion considers whether options-market activity can provide signals for intraday equity trading. It describes a possible information-flow mechanism: informed traders may act in options before trading the underlying, particularly when short selling…

OptionsEquitiesSentimentMarket microstructure
Quant Q&A

This troubleshooting account describes a QuantLibXL failure triggered intermittently by Excel’s Paste Values shortcut. A worksheet formula passed into a QuantLib calendar function could return #NUM! after the shortcut was used, and subsequent calls continued…

OptionsExecution
Quant Q&A

The document explains the rationale for setting the up and down multipliers in a binomial asset-price tree to exponential functions of volatility and the square root of the time step. The scaling makes the size of each log-price move proportional to…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document considers how default changes the probability distribution of a stock price at a future date. It proposes representing the probability mass associated with survival through a maturity-dependent factor multiplying a standard lognormal price…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The question asks how early exercise of an American put can be optimal when the option has nonnegative time value. The answer distinguishes the time value surrendered on exercise from the benefit of receiving the strike sooner. With positive interest rates,…

OptionsDerivatives pricingRisk management
Quant Q&A

The document asks why the delta of a standardized, perpetually at-the-money, 30-day put on SPY became less negative during the 2008 financial crisis. The described series uses OptionMetrics data, with standardized option prices derived by linear…

OptionsVolatilityDerivatives pricingUS markets
Quant Q&A

The document explains the common decomposition of an option’s market price into intrinsic value and time value. Intrinsic value is the immediate exercise payoff; time value is the residual after subtracting intrinsic value from the option price. For a call,…

OptionsDerivatives pricingVolatility
Quant Q&A

The document describes a proposed tree-based approach for valuing an American call with two possible exercise references: a fixed strike and a floating strike tied to a 10-day moving average. The proposed model tracks both the underlying price and the moving…

OptionsDerivatives pricingVolatility
Quant Q&A

The problem considers a European payoff that pays a fixed amount below a strike and declines as the inverse square of the asset price above it. Under geometric Brownian motion with continuous dividends, the proposed value splits into two discounted…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document collects suggested reading for someone implementing option pricing with Markov chain Monte Carlo methods. One cited paper applies MCMC to continuous-time option models, including constant-volatility, stochastic-volatility, price jump-diffusion,…

OptionsDerivatives pricingMachine learningStatistics
Quant Q&A

The discussion distinguishes risk-neutral preferences from risk-neutral pricing. A risk-neutral investor values uncertain payoffs by their expected value, while a risk-neutral world is a hypothetical setting in which such preferences imply risky assets earn…

OptionsDerivatives pricingStatisticsArbitrage
Quant Q&A

The discussion explains why Gatheral's SVI smile is parameterized in implied variance rather than volatility or total variance. Variance is a natural scale because the model is linear in variance in the far strike wings. This makes the asymptotic slopes,…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The discussion asks whether the Feller condition, expressed through the Heston variance parameters, should be enforced when calibrating option prices. The motivating examples reportedly place the condition close to its boundary, with some parameter sets…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks how to recover the SABR parameters for the lognormal case, where beta equals one, from the local Taylor expansion of implied volatility around the forward. It labels the constant term as at-the-forward volatility, the linear coefficient as…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explains why vega is less straightforward in stochastic volatility models than in Black–Scholes, where volatility is a direct input. It describes two common bump-and-reprice interpretations: a model Greek, formed by perturbing model parameters,…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document describes a question about pricing instruments by simulating share prices with geometric Brownian motion, calculating a payoff on each path, and averaging many simulated payoffs. The author reports that estimates can have very different…

OptionsStatisticsDerivatives pricingRisk management