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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 distinguishes the real-world probability measure P from the risk-neutral measure Q and explains their roles in research and pricing. P is used to describe outcome probabilities and expected returns, while Q offers a convenient way to price cash…

StatisticsDerivatives pricingOptions
Quant Q&A

The document describes a market quotation for a one-year at-the-money straddle on the difference between the ten-year and two-year constant maturity swap rates. The quoted bid and offer are given as prices in percentage terms, rather than as an implied…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document considers the risks created when hedging a TRY/JPY call option with positions in other currency pairs. One answer observes that expressing the hedge through several currency spots introduces exposure to multiple currencies, and that the original…

ForexOptionsRisk management
Quant Q&A

This note compares approaches for fitting European call prices across strike and recovering the risk-neutral distribution implied by options. One method fits call prices directly with arbitrage-constrained cubic smoothing splines; the second derivative of…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

This note explains two assumptions desks use to update an implied volatility surface between full calibrations. Under sticky strike, implied volatility stays fixed for each strike as the underlying price changes. An option at a given strike is therefore…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

This introductory explanation clarifies the meaning and timing of an option premium and distinguishes exercise rules by option style. In the example, the quoted trading price of a call is its premium: the buyer pays that amount when entering the option…

OptionsDerivatives pricing
Quant Q&A

The document asks why stochastic-volatility modeling often introduces a market price of risk when option pricing can begin directly under a risk-neutral measure. It describes a traditional setup in which variance has historical dynamics, its drift changes…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document presents a question about a European call priced below its put-call parity lower bound. In the example, an arbitrageur shorts stock, buys the underpriced call, and invests the cash proceeds. At expiry, if the stock is above the strike,…

OptionsArbitrageDerivatives pricingEquities
Quant Q&A

The document offers two practical ways to build intuition about whether an option’s volatility skew is unusually cheap or expensive. One approach is to consider how realized volatility might differ when the underlying is near a particular strike. If…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document discusses constructing a model-free implied-volatility measure from a range of traded call and put prices. The described procedure first builds an implied-volatility skew by interpolating and extrapolating market observations with a cubic…

EquitiesOptionsVolatilityDerivatives pricing
Quant Q&A

The document explains how to obtain swap rates along simulated paths in a one-factor Hull–White short-rate model. The model describes the short-rate dynamics, and its analytical zero-coupon bond pricing formula relates each bond price to the current short…

Fixed incomeDerivatives pricingStatisticsOptions
Quant Q&A

The answer adapts the Heston stochastic volatility model to a forward by defining a zero-start log-return process whose exponential is a martingale under the pricing measure. It gives the characteristic function for that process, using the numerically stable…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document describes a way to turn option open interest and gamma estimates into an aggregate gamma exposure profile. Rather than summing current dollar gamma by strike only at the prevailing index level, the proposed approach recalculates option gamma…

OptionsDerivatives pricingMarket microstructure
Quant Q&A

This discussion asks whether adding many calls and puts causes portfolio delta to cancel out, and whether the central limit theorem can describe the result. One response stresses that the answer depends on how positions are acquired and how market moves…

OptionsStatisticsMarket makingRisk management
Quant Q&A

This exchange considers whether European-style compound calls and puts retain put–call parity when the underlying is an American option. The central lesson is that the answer depends on the contract’s definition and whether the underlying option can…

OptionsDerivatives pricing
Quant Q&A

The document asks whether a stock price can imply future volatility in the same way an option price does. The response explains that structural credit models can connect equity value to volatility because equity behaves like a claim on firm assets while debt…

EquitiesOptionsVolatilityDerivatives pricing
Quant Q&A

The document treats replication of an option payoff using options at a different set of strikes as a constrained function approximation problem. It represents the target call payoff as a weighted combination of calls at available strikes, then chooses the…

OptionsDerivatives pricingStatisticsPortfolio construction
Quant Q&A

The discussion derives the terminal error of a continuously delta-hedged option position when the realized asset volatility differs from the volatility used in Black–Scholes pricing. The portfolio is self-financing, and subtracting the option value from…

OptionsDerivatives pricingRisk managementStatistics
Quant Q&A

The exchange explains the value relationship for an American option immediately before and after exercise. Once exercised, the option contract ends, so its post-exercise value is zero. The holder instead receives the exercise payoff: for a call or put, this…

OptionsDerivatives pricing
Quant Q&A

The discussion examines why an autocallable structured product may be less likely to call at later observation dates, conditional on having survived earlier dates. A call at a later date requires that no earlier call condition was met, so the qualifying path…

OptionsDerivatives pricingStatistics
Quant Q&A

The document asks how to price a bond with an embedded option in a Black–Derman–Toy short-rate tree when the exercise date does not coincide with a time step. In the aligned case, the tree is built with a fixed step and bond values are rolled backward; at…

Fixed incomeOptionsDerivatives pricingBacktesting
Quant Q&A

The document presents a one-period binomial pricing question for an at-the-money caplet on a future one-year Treasury rate. The caplet pays if the rate rises to the upper of two possible outcomes. The question compares treating the yield like an equity price…

Fixed incomeOptionsDerivatives pricingStatistics
Quant Q&A

The document describes Markov-functional interest rate models as low-dimensional representations of the term structure built from functions of a Markov process. It notes their ability to calibrate to market prices and capture volatility smiles, while raising…

Fixed incomeOptionsDerivatives pricingVolatility