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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 raises a question about very negative AUDJPY market strangle volatility quotes at long maturities. It gives examples for 25-delta and 10-delta strangles, alongside an at-the-money-forward volatility level, and asks whether the resulting concave…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document asks whether Novikov’s condition holds for a proposed Girsanov kernel in the Heston model. The stock’s market price of risk leads to an exponential-integrability requirement involving the time integral of the reciprocal variance. The variance…

OptionsVolatilityStatistics
Quant Q&A

The document discusses how a learner studying derivatives can practice hedging and trading in a simulation or demo account. The answer describes Interactive Brokers’ paper account as an option for customers with a live account, noting that it had broad…

FuturesOptionsExecution
Quant Q&A

The note describes several reasons to trade a risk reversal, which combines a put and a call to express a view on implied-volatility skew. A delta-hedged risk reversal can be viewed as a wager on realized spot–volatility covariance relative to the covariance…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document proposes extending the Heston stochastic volatility model by making its long-run variance level itself a mean-reverting stochastic process. The spot variance mean-reverts toward that changing level, while the asset price follows a diffusion with…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The note outlines a procedure for estimating an empirical pricing kernel, also called a stochastic discount factor, for an index. It estimates the physical density from index observations over a historical interval and the risk-neutral density from option…

StatisticsOptionsDerivatives pricing
Quant Q&A

The document examines whether negative probabilities can support pricing a European call in a finite-state, one-period market. The proposed calculation replicates the option payoff with a portfolio and assigns it a price from the portfolio’s initial cost. A…

OptionsDerivatives pricingArbitrage
Quant Q&A

The response corrects the premise that ordinary, or real-world, valuation avoids taking expectations of future cash flows. It states that asset valuation in either framework involves expected discounted cash flows; the key distinction is how risk is handled…

Derivatives pricingOptionsStatistics
Quant Q&A

This question compares a perpetual American put’s exercise threshold under Black–Scholes assumptions with the value of waiting for a finite period. The author argues that, from a price above the perpetual threshold, there should be some horizon for which…

OptionsDerivatives pricingVolatility
Quant Q&A

This question considers Monte Carlo valuation of a payoff based on the positive part of the difference between domestic and foreign forward rates. It assumes a domestic zero-coupon bond maturing at the later tenor date is used as numeraire, and describes the…

OptionsDerivatives pricingForexStatistics
Quant Q&A

The document examines the limits of replicating variance exposure with a weighted strip of out-of-the-money calls and puts, a construction associated with log-contract replication and the VIX calculation. The cited explanation says the continuous static…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document examines whether a calendar spread can provide a stable way to trade changes in implied volatility while remaining delta- and gamma-neutral. The responses explain that neutrality holds only under particular market conditions and can deteriorate…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document asks how to estimate covariance when optimizing a minimum-variance portfolio over weekly or fortnightly cumulative returns. It contrasts calculating covariance directly from returns sampled at the target frequency with scaling a daily covariance…

StatisticsPortfolio constructionBacktestingOptions
Quant Q&A

The document discusses how to estimate risk inputs for an option on the difference between two futures. It presents three approaches to spread volatility: calculate it from historical spread returns, combine the futures’ implied volatilities with a…

FuturesOptionsVolatilityDerivatives pricing
Quant Q&A

Fourier inversion prices European options by transforming information from a model’s characteristic function into option values. The discussion describes why the approach can be fast and accurate for European contracts, and notes its broad applicability to…

OptionsDerivatives pricingStatistics
Quant Q&A

This note examines how Bloomberg’s swaption volatility quotes relate to Black-model prices, focusing on a EUR cash-settled payer swaption. It defines the normal cumulative distribution and Black formula, then distinguishes the physical-settlement annuity…

OptionsFixed incomeDerivatives pricingVolatility
Quant Q&A

The document describes difficulties in deriving pseudo-European implied volatility slices from American option prices through de-Americanization. The method may produce different European implied volatilities at the same strike when both calls and puts are…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks why a stock-price diffusion changes when a model includes correlation between interest rates and stock returns. In the uncorrelated case, the stock diffusion coefficient is constant; in the correlated case described, it is scaled by the…

OptionsDerivatives pricingVolatilityFixed income
Quant Q&A

The document distinguishes pricing models used for equity options from parametric fits used to store and retrieve implied volatility data. It identifies Black–Scholes, including time-dependent versions, and local volatility as common industry choices, with…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explains how a delta-neutral position with long call options can generate gains through repeated stock rebalancing. In its example, the trader starts long calls and short shares; a price decline reduces call delta, so buying shares to restore…

OptionsDerivatives pricingVolatility
Quant Q&A

This discussion considers whether VIX-style volatility indices could be created for individual S&P 500 industries. Since the VIX is derived from index option prices, the proposed analogue would likewise depend on an adequate market in options on the relevant…

OptionsVolatilityEquities
Quant Q&A

The document explains why bid and ask quotes can matter when fitting option prices in an incomplete market. Rather than forcing a model to match each quote’s midpoint exactly, a calibration can allow model values to lie within the quoted spread. This…

OptionsDerivatives pricingMarket microstructure
Quant Q&A

The document develops a pricing approach for a derivative whose payoff is the positive part of the stock price squared minus strike times stock price. It first changes from the risk-neutral measure to the stock measure, splitting the payoff into an…

Derivatives pricingOptionsStatistics