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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
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

8,116 documents

Quant Q&A

The document describes a modeling problem: estimate the probability distribution of the next day’s change in at-the-money Black–Scholes implied volatility using current implied volatility, days to expiration, and the underlying’s percentage move. The author…

OptionsVolatilityStatisticsMachine learning
Quant Q&A

The document examines Black–Scholes pricing for a European call on a stock paying known discrete cash dividends. It describes the Musiela construction, which separates the stock’s price from accumulated dividend amounts and models a dividend-adjusted…

OptionsDerivatives pricingVolatility
Quant Q&A

The document seeks an intuitive introduction to risk-neutral valuation and arbitrage theory. Its response contrasts pricing derivatives under the historical probability distribution of the underlying asset with pricing under a risk-neutral measure. It…

Derivatives pricingOptionsArbitrage
Quant Q&A

The document asks for a detailed proof that the value of a call butterfly is nonnegative when its three strikes are equally spaced. Its expression combines a long call at the lower strike, two short calls at the middle strike, and a long call at the upper…

OptionsDerivatives pricing
Quant Q&A

The answer derives the distribution of the ratio of a stock price at an earlier time to its value at a later time under a stock-based numeraire. It starts with the risk-neutral measure associated with the bank account, defines the stock measure using the…

OptionsDerivatives pricingStatistics
Quant Q&A

The document poses a derivatives-pricing question: whether a rise in interest rates must always reduce the value of an American put option. The answer says that this conclusion does not hold in general and points readers to a referenced treatment for an…

OptionsDerivatives pricing
Quant Q&A

The discussion asks whether SPX options offer a way to trade the index’s closing value with an offset for forward alignment, similar to a futures index basis trade. One response says SPX combo-on-close trades are available over the counter, with interdealer…

OptionsFuturesExecutionMarket microstructure
Quant Q&A

The document describes an attempt to estimate a Treasury bond future’s delivery option by applying principal component analysis (PCA) to yields of deliverable bonds. The author uses the leading components to create yield scenarios, scales them using the…

FuturesFixed incomeOptionsVolatility
Quant Q&A

The document gathers book recommendations for someone with introductory knowledge of stochastic calculus, Black–Scholes, and binomial pricing, plus a background in statistics and time-series modeling. Suggestions span broad derivatives texts, volatility and…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document describes a curve-building problem encountered while trying to infer implied volatility for a short-maturity Euro floor. The floor price covers the remaining unfixed floorlets, but for some strikes the market quote is below the model price even…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The note explains why VIX futures can converge toward the published spot VIX near expiration even though the spot index itself is not tradable. Futures settle in cash, with the settlement amount determined on delivery day from a calculation closely related…

FuturesOptionsVolatilityArbitrage
Quant Q&A

The note distinguishes the probability that an option expires in the money under different probability measures. In Black–Scholes, N(d2) gives the risk-neutral probability of the underlying finishing above the strike, using the risk-neutral drift; delta,…

OptionsDerivatives pricingStatistics
Quant Q&A

The response outlines how interest-rate derivative volatility surfaces are assembled from market-maker quotes and why normal, or Bachelier, volatility became a common convention in low-rate and negative-rate environments. Black volatility describes…

Fixed incomeOptionsVolatilityDerivatives pricing
Quant Q&A

The document gathers proposed explanations for option terminology. It describes call and put through the writer’s obligation: a call may result in shares being called away at the strike, while a put may result in shares being put to the writer. It also gives…

OptionsDerivatives pricing
Quant Q&A

The document explains how to price a call option in a one-period binomial model by constructing a portfolio of the underlying stock and a bond that matches the option’s payoff in both possible states. The stock starts at one, moves up or down by five…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document explains how a cash-settled Asian call pays at expiration. Its payoff is based on the average of the underlying’s prices over the specified observation dates, compared with the strike. When that average exceeds the strike, the bank pays the…

OptionsDerivatives pricing
Quant Q&A

The document addresses a common confusion between an option's declining time value and its implied volatility as expiry approaches. The answer explains that, near the money, option value scales approximately with annualized volatility multiplied by the…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document examines how to tell whether an options position is long or short skew, using a risk reversal with an out-of-the-money call and put. It explains that subtracting implied volatilities at nearby strikes estimates local smile slopes, but comparing…

OptionsVolatilityDerivatives pricing
Quant Q&A

The discussion explains why simply adding a short delta position in the stock to a long option does not, by itself, justify the usual Black–Scholes derivation. Applying Itô’s lemma to the option and stock can cancel the instantaneous stochastic term, but the…

OptionsDerivatives pricingRisk management
Quant Q&A

The document clarifies how to interpret the return from a put-call parity position built from a short call, a long put, and shares of the underlying. The example compares the option price difference with the share purchase cost and finds a return close to…

OptionsEquitiesArbitrage
Quant Q&A

The document considers calibrating a SABR implied volatility surface when an illiquid options market lacks out-of-the-money quotes. It explains that fitting only in-the-money and at-the-money observations leaves part of the implied distribution…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explains how to adapt QuantLib’s Heston option-pricing workflow to foreign exchange options. It treats the foreign interest rate like a dividend yield and the domestic rate as the risk-free curve, allowing FX options to be handled similarly to…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document investigates why a closed-form down-and-out call price differs from a Monte Carlo estimate for a leveraged warrant. The response identifies two problems in the simulation: it uses an estimated real-world return drift instead of the risk-free…

OptionsDerivatives pricingBacktestingEquities
Quant Q&A

The document describes an option-like contract with two dates. At an initial grant date, the holder chooses a later exercise date; once that choice is made, the option behaves like a European option, with exercise permitted only on the selected date. The…

OptionsDerivatives pricing