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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
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 explains why manual market makers remain involved even as algorithmic quoting has spread across options markets. For listed options, it says quoting is largely automated, but people may adjust prices and oversee systems. Exchange liquidity…

OptionsMarket makingRisk managementExecution
Quant Q&A

The document explains a method for pricing a quanto option when direct quanto quotes may be unavailable. It proposes calibrating an effective volatility from non-quanto options in the domestic currency, focusing on the volatility smile relevant to the…

OptionsDerivatives pricingVolatilityForex
Quant Q&A

The document asks how to estimate credit valuation adjustment and debit valuation adjustment for a portfolio containing long and short FX options. The example assumes both options share an underlying and expiry. The author understands that current…

OptionsForexRisk managementDerivatives pricing
Quant Q&A

The document asks how volatility relates to an option’s strike and time to expiry, and why a call might lose value even when its underlying stock rises. The example points to a decline in implied volatility that could outweigh the favorable effect of the…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document describes an attempt to infer a risk-free rate and volatility from traded American gold options expiring in November 2020. It uses a snapshot of call and put prices across strikes, a futures price, and a chosen settlement date as inputs to a…

OptionsCommoditiesDerivatives pricingVolatility
Quant Q&A

The document explains why a delta-hedged position in options all sharing one strike may show little direct exposure to the shape of the volatility smile. Smile risk is tied to changes in implied volatility across strikes, so a portfolio with options at…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document asks how many significant digits numerical derivative pricing should deliver, including for products such as American puts. Its answer is that there is no universal industry standard: suitable precision depends on how the result will be used and…

Derivatives pricingOptionsStatisticsRisk management
Quant Q&A

The document describes a practitioner’s attempt to extend an Euler Monte Carlo simulation of the Heston stochastic volatility model with jumps, using the Bates stochastic volatility jump framework. It lays out a preliminary price update and variance update,…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document distinguishes the mathematical conversion between implied volatility and vanilla option prices from the judgment involved in deciding whether market prices or volatility levels represent fair value. A trader can treat quotes as the benchmark and…

OptionsVolatilityDerivatives pricingArbitrage
Quant Q&A

The document describes a search for benchmark parameters and European call prices to validate an implementation of the Bates stochastic volatility and jump model. The accepted response points to research by Gilli and Schumann as a source of parameter…

OptionsDerivatives pricingVolatilityBacktesting
Quant Q&A

The document explains how to obtain the delta of a single-barrier up-and-in put under a stochastic-volatility model. In the special case of zero correlation between the asset and volatility shocks, and with zero interest rates and dividend yield, the barrier…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document explains how practitioners calibrate Heston option pricing models to market quotes. The usual approach is to fit a single day of sufficiently liquid options, rather than combining quotes from multiple days: prices can differ across dates, and a…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document discusses how to extract implied normal yield volatility from American options on bond futures and whether that measure adds information beyond European-option or swaption volatility. It emphasizes that the answer depends on how the underlying…

Fixed incomeFuturesOptionsVolatility
Quant Q&A

The document poses a fair coin-toss game with up to 100 flips. At each point, the player may stop and receive the fraction of flips that were heads; the question is how to price the game when stopping is allowed. It contrasts this with the no-early-exercise…

OptionsStatisticsDerivatives pricing
Quant Q&A

The note asks whether an implied volatility surface for INR/USD can be reused for the inverse USD/INR rate. It distinguishes the standard deviations of an exchange rate and its reciprocal, which are generally not equal, from the relationship between…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document asks whether Simulink is needed to model and stress test the risks of a derivatives portfolio in Matlab. The reply reports that its author has built multiple simulation studies in Matlab without using Simulink, suggesting that Matlab alone can…

OptionsRisk managementDerivatives pricing
Quant Q&A

The document compares an attempted Black 76 caplet valuation with a Bachelier, or normal-model, implementation for an interest rate caplet. The central modeling distinction in the replies is that Black volatility is quoted as a relative, lognormal change,…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document describes a pricing and risk question for spread options on commodity futures under a Bachelier model. The author converts lognormal volatilities to normal volatilities, estimates basket volatility through moment matching, and prices a European…

CommoditiesFuturesOptionsDerivatives pricing
Quant Q&A

The document asks how to approximate two path-dependent products with vanilla options: a range accrual note and a foreign-exchange target accrual redemption forward (TARF). It mentions a generic description of range accruals as a sequence of daily options,…

OptionsForexDerivatives pricingVolatility
Quant Q&A

The question examines a polynomial interpolation formula for an FX implied-volatility smile and focuses on its at-the-money value. Using the coefficients and equation from a cited textbook example, the author reports that the reproduced value matches only…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The discussion addresses fitting a single SABR model to swaption, constant maturity swap, and CMS cap markets while managing smile risk. It explains that SABR’s limited number of parameters may not reproduce market prices across a broad strike range,…

Fixed incomeOptionsVolatilityDerivatives pricing
Quant Q&A

The discussion explains why options strategies often lack a standard benchmark: each strategy may trade a different basket of contracts, and the VIX is a price index rather than a return index. For a long-only strategy, it suggests building a custom index…

OptionsBacktestingPortfolio constructionRisk management
Quant Q&A

The note asks whether an index made from stocks modeled individually as geometric Brownian motions can itself be treated as a GBM for option valuation. It highlights a key distinction: while weighted sums of arithmetic Brownian motions retain that process…

OptionsDerivatives pricingStatistics
Quant Q&A

The note compares a bull call spread’s value before expiration with its payoff at expiration, then asks whether early exercise of both American calls could realize the larger terminal spread payoff. It explains that an American call’s value is bounded below…

OptionsDerivatives pricing