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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
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
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

10,263 documents

Quant Q&A

The document explains why the relationship between the underlying price and future volatility can affect autocall valuation. Autocalls often include digital payoffs and barrier conditions, so their value depends on the chance that the underlying crosses a…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document addresses a discrepancy between a calculated FX option delta and a market terminal’s value. The key clarification is that the instrument is a digital vanilla, or binary, option, so ordinary vanilla Black–Scholes delta inputs and intuition do not…

ForexOptionsDerivatives pricing
Quant Q&A

This exchange diagnoses why a Newton–Raphson routine for Black–Scholes implied volatility diverges. The original code divides the option-price error by gamma, but implied volatility is the quantity being solved for, so the derivative needed for the update is…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document asks whether an option can have a strike that varies randomly over time and what such products are used for. The answers point to several related structures: an Asian option uses an average of the underlying over the contract period in its…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks how risk-neutral pricing relates to the risk aversion assumed in expected utility theory. Its answer connects risk-neutral valuation to an assumption of complete markets and no arbitrage: under those conditions, a risk-neutral measure can…

Derivatives pricingStatistics
Quant Q&A

The document explains how binary options differ from vanilla options. A binary contract pays a fixed amount or nothing at expiry, whereas a vanilla call’s payoff grows with the underlying above its strike. The binary’s capped payoff and risk profile can suit…

OptionsDerivatives pricingRisk management
Quant Q&A

The document addresses how changes in a short-term interest rate’s yield volatility relate to price volatility, while questioning whether a proposed bond formula applies to a short-term interest rate option. The response gives the standard first-order…

Fixed incomeVolatilityDerivatives pricing
Quant Q&A

The document asks whether options on two separate assets, each quoted against a common currency, can create an option on their exchange ratio. Its answer says that a portfolio with payoff equal to the sum of a function of each asset separately cannot…

OptionsDerivatives pricingCommoditiesRisk management
Quant Q&A

The document explains Bloomberg's fixed-equivalent yield for a floating-rate bond. The method first treats the bond's floating coupon payments as if they were exchanged for synthetic fixed payments at a rate available in the swap market. It then calculates…

Fixed incomeDerivatives pricing
Quant Q&A

The document explains why the hedge quantity for an FX option can differ from its standard Black–Scholes spot delta when the option premium is received or paid in the foreign currency. The premium itself already provides exposure to that currency, so the…

ForexOptionsDerivatives pricing
Quant Q&A

The document distinguishes the value of an un-margined forward from the daily cash flows of a marked-to-market futures contract. For a forward, the change in the comparable forward price represents a payoff at maturity; the value before maturity is that…

FuturesDerivatives pricingRisk management
Quant Q&A

The document clarifies how Itô’s lemma evaluates the stochastic integral of Brownian motion against itself. Taking the function of time and state as the square of the state, and evaluating it at Brownian motion, gives the process W squared. Itô’s lemma then…

StatisticsDerivatives pricing
Quant Q&A

The document explains two ways to think about probability distributions for foreign-exchange prices. For a distribution implied by traded options, it describes the risk-neutral density: butterfly spreads across strikes convey information about probabilities…

ForexOptionsDerivatives pricingStatistics
Quant Q&A

The document addresses three conceptual questions about the Vasicek and extended Vasicek term-structure models: why a zero-coupon bond is worth one unit at maturity, why bond prices may be written in an exponential affine form, and what the market price of…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document answers a question about research on synthetic options, including their valuation and time decay. It distinguishes simple synthetic positions, such as a synthetic long stock, from more elaborate synthetic structures designed to replicate complex…

OptionsDerivatives pricingRisk management
Quant Q&A

The document explains how to simulate a down-and-in barrier call under a local volatility model. At each simulation step, the volatility should be evaluated at the current time and stock level, rather than at the option’s fixed strike and maturity. The…

OptionsDerivatives pricingVolatilityBacktesting
Quant Q&A

The note explains why a jump-diffusion model may not have a unique risk-neutral measure, contrasting it with a one-stock geometric Brownian motion model. Its central intuition counts the independent sources of risk against the traded assets: Brownian shocks…

StatisticsDerivatives pricingRisk management
Quant Q&A

The discussion examines a four-step binomial valuation of a European put on a stock that moves by a fixed amount each month, with a continuously compounded risk-free rate. The proposed method recursively discounts the risk-neutral expected option payoff at…

OptionsDerivatives pricingStatistics
Quant Q&A

The discussion diagnoses a municipal bond yield calculation that differs substantially from a listed yield. The bond schedule and day-count setup are shown, but the key issue is the coupon input convention: QuantLib expects rates in decimal form rather than…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document describes a calibration question for the eSSVI implied volatility surface, where parameters are fitted slice by slice across maturities. It focuses on a calendar-consistency inequality that links the current slice parameters to those of the…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explores when early exercise can be optimal for American put options in zero or negative interest rate settings. It contrasts the familiar positive-rate intuition for calls with the corresponding conditions for puts, noting that early exercise…

OptionsDerivatives pricingVolatility
Quant Q&A

The document discusses how traders might estimate volatility for option analysis when the appropriate historical lookback is unclear. It describes two choices in historical volatility calculation: the length of the past period being measured and the spacing…

OptionsVolatilityStatisticsDerivatives pricing
Quant Q&A

The document distinguishes historical volatility, calculated from past stock returns, from Black–Scholes implied volatility, inferred from traded option prices. Historical volatility summarizes observed movements, while implied volatility reflects the option…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document explains that a discount curve does not need to use one universal compounding or day-count convention. For no-arbitrage pricing, the underlying discount factor for a given cash flow date is the key quantity; different conventions can express…

Fixed incomeDerivatives pricingRisk management