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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
WonderTrader
14 documents
Alphalens
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

20,364 documents

Quant Q&A

The document asks how to value a cancelable swap whose termination payment is linked to an index, then isolates the question of choosing when to pay an index-based amount. The provided answers treat the simplified payment as a scaled forward-like payoff and…

Derivatives pricingOptionsFixed incomeEquities
Quant Q&A

The document considers how to describe option risk across an implied volatility surface. Standard Black–Scholes Greeks measure sensitivity to model inputs, but Vega is difficult to aggregate across options because an implied volatility move need not be…

OptionsVolatilityRisk managementDerivatives pricing
Quant Q&A

The document explains why a smile that bends down or up around the forward does not, by itself, establish whether option prices admit arbitrage. Smile curvature is related to the shape of the implied risk-neutral distribution: a concave smile can accompany a…

OptionsVolatilityDerivatives pricingArbitrage
Quant Q&A

The document addresses whether Black-Scholes time to expiration should be measured in trading days or calendar days when volatility is estimated using trading-day data, and asks how the risk-free rate should be treated. One response advises keeping the time…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks how market makers choose bid-ask spreads for options quoted in implied volatility terms. It gives an example of a quote with a one-point gap between bid and ask volatility, and suggests that market volatility and the need to hedge inventory…

OptionsMarket makingVolatilityMarket microstructure
Quant Q&A

The document presents a Python example that simulates portfolios by drawing random asset weights, scaling them to a fixed total, and calculating annualized return, volatility, and a return-to-risk ratio from historical returns and covariance. It asks how to…

Portfolio constructionBacktestingRisk management
Quant Q&A

The document asks when the expectation of a function of a random variable equals the function evaluated at that variable’s expectation. It considers a convex function and whether equality at a particular parameter value implies that the function is locally…

Statistics
Quant Q&A

The document asks how to price a European option on an amortizing interest-rate swap when market volatility quotes are available only for standard, non-amortizing swaptions. It outlines the usual Black-style swaption valuation using an annuity, forward swap…

OptionsFixed incomeDerivatives pricingVolatility
Quant Q&A

The document addresses how to assess an exotic option pricing model when direct market prices are scarce. It proposes first checking whether the contract can be reduced to a simpler exotic structure that has observable quotes; if so, the model should…

OptionsDerivatives pricingBacktestingRisk management
Quant Q&A

The document explains how to derive the Black–Scholes pricing equation from a risk-neutral valuation formula. It assumes the underlying follows a geometric Brownian motion under the risk-neutral measure, with deterministic interest rates and constant…

OptionsDerivatives pricingStatistics
Quant Q&A

The document collects suggested references for learning exotic option pricing and implementing pricing methods. The original question concerns volatility and variance swaps, jump diffusion, and explicit or implicit finite-difference methods, with particular…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document describes a workflow for obtaining ISIN identifiers for listed equities. It starts with a downloadable spreadsheet of exchange tickers, then uses Bloomberg's Excel API to query the ISIN associated with each ticker. This offers a practical way to…

EquitiesStatistics
Quant Q&A

The document asks whether stock indicators such as moving averages, MACD, Bollinger Bands, and exponential averages should use adjusted closing prices when shares split or pay dividends. Its example compares a two-day moving average around a reported…

EquitiesTechnical indicatorsBacktesting
Quant Q&A

The document recommends three books for someone beginning to trade USD interest rate swaps. It presents a general derivatives textbook as broad foundational reading, while noting that it offers limited focus on swaps, rates trading, or risk management. A…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document explains how bank examiners classify loan quality, from Pass and Special Mention through Substandard, Doubtful, and Loss. Criticized loans are identified as those graded Special Mention, Substandard, or Doubtful. The grades distinguish emerging…

Fixed incomeRisk management
Quant Q&A

The document solves for the expectation and conditional expectation of an exponential built from Brownian motion at two different times. It first combines the correlated Brownian values by expressing the later value as the earlier value plus an independent…

StatisticsDerivatives pricing
Quant Q&A

The document examines a simulation of stock prices under geometric Brownian motion with zero drift. Although each simulated price at a fixed horizon has a lognormal distribution, the author finds that taking the median across all time steps produces a value…

EquitiesStatisticsBacktesting
Quant Q&A

The document discusses the inputs needed to price an FX option with a Black-Scholes style model when the trader has LIBOR quotes and historical exchange rates. One response suggests using the LIBOR rate nearest the option’s expiry, converting it to a…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document raises a question about why Treasury bond futures conversion factors move in opposite directions across delivery months for bonds with coupons above or below the contract’s 6% standard. It challenges the idea that the factor’s direction should…

FuturesFixed incomeDerivatives pricing
Quant Q&A

This community discussion describes several routes into quantitative finance, including transitions from computer science, physics, statistics, and other academic or commercial backgrounds. It stresses that “quant” covers distinct jobs, from derivatives…

Multi-assetHigh-frequency tradingArbitrageMachine learning
Quant Q&A

The document explains how to estimate option Vega by bumping volatility and repricing, with examples involving multi-leg baskets and calendar spreads. Vega is a local sensitivity, so a one percentage point volatility move is a finite shock rather than a…

OptionsDerivatives pricingStatisticsRisk management
Quant Q&A

The document studies the random integral of an exponential weight times Brownian increments over a finite interval. A change of variables uses the stationarity of Brownian increments to express it in terms of a Brownian motion starting at zero, with an…

Statistics
Quant Q&A

The document considers whether ordinary delta replication can hedge a quanto option, whose payoff is domestic-currency-denominated despite exposure to a foreign asset. The answer explains that holding delta in the foreign stock and borrowing in domestic cash…

OptionsForexDerivatives pricing
Quant Q&A

The discussion explains that Value at Risk (VaR) is defined for a stated time horizon and confidence level; without a horizon, a VaR figure is incomplete. It outlines a common parametric approach: estimate portfolio return volatility from historical data, an…

Risk managementStatisticsPortfolio construction