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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
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

8,116 documents

Quant Q&A

The document addresses how to price options on VXX, an exchange-traded product linked to short-term VIX futures, whose value can decline during contango. The question asks whether that negative expected drift calls for a change to Black–Scholes when rates…

OptionsVolatilityDerivatives pricingFutures
Quant Q&A

The document outlines a proposed workflow for modeling equity option volatility. It first uses a Cox–Ross–Rubinstein tree with forecast discrete dividends to price American options, then inverts Black–Scholes to obtain implied volatilities. It proposes…

EquitiesOptionsVolatilityDerivatives pricing
Quant Q&A

The document examines a foreign-exchange vanilla option pricing exercise and a small difference between a textbook result and an Excel calculation. The response says the calculation is correct under the stated setup and attributes the discrepancy to how the…

ForexOptionsDerivatives pricingVolatility
Quant Q&A

The document addresses confusion about converting lognormal volatility to normal volatility for a bond option. A calculation using a 5.9% lognormal volatility, a forward of 134.5, a strike of 132.5, and a short maturity produces a normal volatility near 7.87…

Fixed incomeOptionsVolatilityDerivatives pricing
Quant Q&A

The document discusses the one-step binomial model used to price a call by constructing a portfolio of stock and option positions. It explains that the example’s portfolio is long 0.25 shares and short one call, and that reversing those positions gives the…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document concerns maximum-likelihood estimation of the physical-measure return dynamics in the Heston–Nandi GARCH model, as a first step toward joint calibration with option-implied volatility data. The question proposes clipping conditional variance to…

VolatilityStatisticsOptionsDerivatives pricing
Quant Q&A

The document explains how to illustrate Monte Carlo pricing error for a European call. Rather than expecting each larger simulation to produce a closer price, compare estimates with a known Black–Scholes value over repeated or nested sample sizes. Plot…

OptionsStatisticsBacktesting
Quant Q&A

The document explains why automatic differentiation can disagree with bump estimates when pricing a down-and-out barrier option by Monte Carlo. The payoff includes a discontinuous survival condition: paths either remain above the barrier or are knocked out.…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks how researchers should compare Lévy and stochastic-volatility models calibrated to vanilla option prices, especially when the models will be used to price exotics such as arithmetic Asian options. It distinguishes two purposes: fitting a…

OptionsVolatilityDerivatives pricingBacktesting
Quant Q&A

The document explains how discrete delta hedging affects the variability of a long option position’s profit and loss. Under a geometric Brownian motion style assumption, it models the profit from each unhedged interval as depending on gamma, spot, realised…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document asks whether Black–Scholes prices move monotonically with strike and time, after noting that a call price rises with spot, volatility, and the interest rate when other inputs are held fixed. The response uses arbitrage reasoning to explain the…

OptionsDerivatives pricingStatistics
Quant Q&A

The document poses an interview-style question about quoting a European call on an equity priced at 100, with a strike of 150. It asks what minimum premium would guarantee no losses when the trader has no Greek information, cannot earn the risk-free rate on…

OptionsDerivatives pricingRisk management
Quant Q&A

The document asks how to assess a possible volatility trading opportunity when an investor has a view of a stock’s volatility over time and observes options with different maturities priced at different implied volatilities. It focuses on whether the…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document presents a question about constructing a self-financing portfolio that replicates a call option in a two-period binomial tree. The investor has option payoffs at the terminal date, arbitrage-free option prices at the intermediate nodes, and the…

OptionsDerivatives pricingPortfolio construction
Quant Q&A

The note explains how an initially risky debit spread or long option position may be reshaped into a butterfly after the underlying moves favorably. The trader adds option legs, buying and selling contracts so the combined position has the butterfly…

OptionsDerivatives pricingRisk management
Quant Q&A

The document derives a pricing shortcut for a discrete geometric Asian call under risk-neutral geometric Brownian motion. It expresses the geometric average of fixing prices as a lognormal random variable by summing the log prices, then identifies the mean…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explores whether an individual listed option has a market capitalization comparable to a company's stock. It describes a learner's attempt to estimate the value associated with an option series by multiplying its quoted premium by open interest,…

OptionsDerivatives pricingUS markets
Quant Q&A

The document concerns calibration of an FX volatility surface from quoted deltas, focusing on converting premium-adjusted forward deltas into strikes. It gives the premium-adjusted delta expression, which includes the strike-to-forward ratio and a normal…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document explains that a derivative’s price change over an underlying price move equals the integral of delta across that interval, so P&L corresponds to the area under the delta curve. It corrects an arithmetic error in the question’s gamma calculation…

OptionsDerivatives pricingRisk managementStatistics
Quant Q&A

The document explains why increasing an option’s strike by one unit does not necessarily increase its premium by the same amount. It notes that displayed option quotes may come from different times, so apparent price and implied-volatility comparisons can be…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explains how to calculate the mean and variance of an option’s value, and its covariance with the underlying stock, when the option price is a deterministic function of the stock price. Instead of simulating many paths, it integrates the option…

OptionsEquitiesDerivatives pricingStatistics
Quant Q&A

The document asks about a proposed relationship between the Parkinson number, a range-based volatility measure, and historical volatility, and whether their comparison can guide hedge timing for a long gamma position. It relays a claim that a higher…

OptionsVolatilityRisk management
Quant Q&A

The document offers several explanations for the usual upward slope of VIX futures. The responses describe long volatility exposure as crash insurance: investors may pay a premium for protection that tends to help during equity downturns, while short sellers…

FuturesVolatilityRisk managementOptions
Quant Q&A

The document compares approaches for estimating the probability that an option finishes in the money or reaches a strike. It explains that under Black–Scholes, the in-the-money event can be treated as a discontinuous indicator payoff, distinct from the usual…

OptionsDerivatives pricingStatisticsBacktesting