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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 outlines practical challenges for a firm moving from vendor-provided end-of-day data to live feeds from exchanges. Direct access means handling exchange-specific formats and APIs, building and maintaining parsers, and arranging network…

Fixed incomeFuturesOptionsMarket microstructure
Quant Q&A

The document asks whether returns that are highly skewed or fat-tailed over short intervals become more normal when compounded over a longer period. It describes an example of accumulating weekly yields across a year and observes that, when yields are…

OptionsStatisticsRisk management
Quant Q&A

The document raises a question about what option open interest represents across different stocks. For small-cap options, the author sees open interest mainly as a sign of liquidity. For highly traded large-cap names, where liquidity may be less limiting,…

OptionsEquitiesStatistics
Quant Q&A

The document clarifies what an implied volatility function calibrated to vanilla options can and cannot establish. If the model is recalibrated to match vanilla option prices across strikes and maturities, it reproduces the risk-neutral distribution of the…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document explains implied correlation as a measure of how closely investors expect the assets in an index or portfolio to move together. It distinguishes correlation indices, which can be calculated from index and constituent options, from correlation…

OptionsEquitiesVolatilitySentiment
Quant Q&A

The discussion considers a bond where the holder’s put and the issuer’s call are available on the same date at the same price. The response says such structures are relatively common, including in convertible bonds, and that the shared exercise date can…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The discussion clarifies why dollar gamma is intended to measure convexity exposure rather than every change in the dollar value of delta. For a small spot move, the change in the number of delta shares is multiplied by the starting spot to express the hedge…

OptionsDerivatives pricingRisk managementVolatility
Quant Q&A

The document concerns taking a Bachelier call option’s partial derivative with respect to strike and finding a mismatch between two reference results. The resolution is that the sources use different stochastic differential equations: one includes a drift…

OptionsDerivatives pricingStatistics
Quant Q&A

The document examines a gap option with a trigger level that differs from the strike. Its payoff is zero below the trigger and equals the underlying price minus the strike above it. When the underlying finishes above the trigger but below the strike, that…

OptionsDerivatives pricingRisk management
Quant Q&A

The document asks how to rigorously establish the Markov property for the Heston model’s joint stock-price and variance process, whose square-root variance dynamics do not meet the familiar Lipschitz conditions cited in many introductory SDE results. It…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document asks whether predicting an option’s delta more accurately than Black–Scholes can create trading opportunities beyond improving a hedge. It frames the question with an example in which a model estimates delta at 0.4 while Black–Scholes gives 0.3,…

OptionsDerivatives pricing
Quant Q&A

The document frames a thesis question about established, pre-neural-network approaches to calibrating stochastic volatility models, with particular interest in Heston. It asks for research areas and papers that could support a historical overview of…

OptionsVolatilityDerivatives pricingMachine learning
Quant Q&A

The document examines a derivation that applies Itô’s formula to the discounted payoff of a call option inside a conditional expectation. It raises questions about when differentiation can be interchanged with expectation, how the payoff derivative enters…

OptionsDerivatives pricingStatistics
Quant Q&A

The document compares finite difference methods with Monte Carlo for pricing options on baskets of assets. It explains the dimensionality problem: a finite difference grid grows rapidly with the number of underlyings, making multidimensional PDE methods…

OptionsDerivatives pricingStatisticsBacktesting
Quant Q&A

The discussion explains how to express views on ECB decisions through overnight indexed swaps (OIS) spanning meeting dates. It distinguishes a view on the size of an individual meeting’s rate change, which could be structured as an option on a spread between…

Fixed incomeOptionsDerivatives pricingEvent-driven
Quant Q&A

The document shows how to count ordered outcomes for three six-sided dice according to their minimum value, then use those counts to reason about the expected payoff of a call-like contract with a strike of three. The counting method starts from rolls whose…

OptionsStatisticsDerivatives pricing
Quant Q&A

The document raises whether daily historical option prices can be approximated from historical closing prices of the underlying asset. It identifies Black–Scholes as one possible pricing framework and notes that the model requires implied volatility for…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explains how to obtain the probability that a stock price modeled by Heston will finish above a specified threshold at a future date. In options terminology, this probability is the undiscounted value of a digital call on the modeled spot…

OptionsEquitiesVolatilityDerivatives pricing
Quant Q&A

The document explains why forward Libor rates are often modeled as lognormal in Black’s framework, while clarifying that this distribution is a modeling choice rather than a requirement of no-arbitrage. By expressing a forward rate as a ratio of zero-coupon…

Fixed incomeOptionsDerivatives pricingVolatility
Quant Q&A

The question compares two ways to specify returns when modeling stock prices under the physical measure. A conventional GARCH model uses a constant conditional mean, with volatility changing through the variance process. An alternative adjusts the mean by…

StatisticsVolatilityOptionsRisk management
Quant Q&A

The discussion surveys software and methods for testing options strategies, including multi-leg spreads. It explains why this work is harder than testing linear instruments: historical option chains are large, implied volatility histories may be unavailable,…

OptionsBacktestingVolatilityExecution
Quant Q&A

The discussion examines whether the risk-neutral measure, used to price securities, should also be used to forecast real-world returns. It argues for comparing predictive performance empirically rather than relying only on theoretical objections or strong…

StatisticsDerivatives pricingOptions
Quant Q&A

The discussion distinguishes listed options from over-the-counter foreign exchange options. Conventional option chains are associated with listed contracts. Interbank FX options are predominantly over the counter and are usually quoted in implied volatility,…

ForexOptionsVolatilityDerivatives pricing