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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
WonderTrader
14 documents
Alphalens
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

8,116 documents

Quant Q&A

The document explains how to assess completeness in a one-step trinomial stock model with a risk-free bond. An equivalent martingale measure assigns positive probabilities to all terminal states and makes the discounted stock price a martingale. The stock…

StatisticsOptionsDerivatives pricing
Quant Q&A

The document introduces basis-function selection in Longstaff–Schwartz least-squares Monte Carlo pricing for options on multiple underlyings. In this approach, continuation values are approximated with basis functions during backward induction, which…

OptionsDerivatives pricingBacktesting
Quant Q&A

The document asks how to express the value of a European call at an intermediate node of a Cox–Ross–Rubinstein binomial tree. It defines the node by the time step and the number of upward moves, and describes a backward-induction recurrence that discounts…

OptionsDerivatives pricingStatistics
Quant Q&A

The document raises a theoretical question about a consistency property in the Vanna–Volga method. Starting from a price curve constructed by interpolation and extrapolation across strikes, the cited paper claims that selecting three different strikes on…

OptionsDerivatives pricingVolatility
Quant Q&A

The document shows how to generate joint spot and variance paths from QuantLib's Heston process in Python. It constructs the process from initial variance, mean-reversion, long-run variance, volatility-of-variance, correlation, spot, and rate inputs, then…

OptionsVolatilityDerivatives pricingBacktesting
Quant Q&A

The document asks whether information criteria or divergence measures can guide SABR calibration. The response describes a common rates-market workflow: preset beta, solve alpha to match the at-the-money volatility, then optimize rho and nu against smile…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document examines why a bisection-style search for Black–Scholes implied volatility can fail for a put even when it works for a call. The key diagnosis is that the put price in the example is above the greatest value a European put can reach under the…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The response outlines a pricing approach for an FX-linked payoff when payment is made in a third, quanto currency. It defines the exchange rate with the foreign currency as the numerator and gives its drift under the quanto currency measure. The drift…

ForexOptionsDerivatives pricing
Quant Q&A

The document answers whether the standard European put-call parity relation also applies when the underlying is modeled with Heston stochastic volatility. Its central point is that parity follows from the option contracts and the ability to construct…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document addresses how to summarize implied volatility across an option chain rather than relying only on the at-the-money option. It describes a model-free variance-swap approximation built from option prices over a range of strikes: calls above the…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document outlines several ways to think about pricing options on a volatility index such as VIX. One approach starts from the option portfolio used to replicate variance and adds a convexity adjustment that accounts for the square root linking variance…

OptionsVolatilityDerivatives pricingMarket microstructure
Quant Q&A

The document asks what changed in Monte Carlo methods for pricing American options between 2005 and 2016, following earlier machine-learning work on optimal stopping. One answer argues that the period brought few groundbreaking Monte Carlo advances and that…

OptionsDerivatives pricingMachine learningStatistics
Quant Q&A

The document considers a finite-difference approximation to the Black–Scholes equation and asks how coefficient sign conditions can establish a maximum-norm bound. The proposed argument rewrites each value at one time level using the neighboring values and…

OptionsDerivatives pricingStatistics
Quant Q&A

The document considers how to recover FX option strikes from broker volatility quotes, forward points, deposit rates, and delta conventions. It explains that the ATM strike formula depends on the convention: a delta-neutral strike with premium-adjusted delta…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document asks whether historical listed SPX options data from the CBOE data shop is reliable enough for backtesting, especially regarding missing or incorrect prices and Greeks. The response recommends checking a small sample of purchased contracts…

OptionsBacktestingUS markets
Quant Q&A

The discussion examines whether Black–Scholes–Merton derivations require an unproven self-financing condition. It describes replication arguments in which a portfolio holds stock and a money-market account, and its changes in value come from gains on those…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document discusses a market maker who is assigned an in-the-money American call after the underlying market closes, creating stock delivery and delta exposure by the next open. Because the underlying cannot be traded during that interval, the direct…

OptionsMarket makingRisk managementExecution
Quant Q&A

The document asks how to interpret theta and gamma for a portfolio holding one call while dynamically hedging its delta with the underlying and financing trades. It gives the local P&L relationship in which theta contributes over time and gamma contributes…

OptionsDerivatives pricing
Quant Q&A

This brief spreadsheet example shows how to make a Bloomberg BDP query use a strike stored in another cell instead of a fixed value. The method is to concatenate the ticker’s text components with the cell reference, while formatting the ticker with spaces as…

OptionsDerivatives pricing
Quant Q&A

The discussion considers how to infer implied volatility from option bid and ask quotes across strikes, expiries, calls, and puts. It covers estimating forwards through put-call parity, choosing representative option prices, and fitting a consistent…

OptionsVolatilityDerivatives pricingMarket microstructure
Quant Q&A

The question asks how to obtain the volatility input needed to calculate an option’s Black–Scholes delta. The replies explain that this input is commonly implied volatility: the volatility value consistent with the observed market price of the option and the…

OptionsDerivatives pricingVolatility
Quant Q&A

The document discusses pricing a European exchange option that pays the positive difference between two stock prices at expiry. The assets follow correlated geometric Brownian motions. One answer changes to a measure using one asset as numeraire; under that…

OptionsDerivatives pricingVolatility
Quant Q&A

The discussion considers why experience with poker may be relevant to equity and options trading. Its central analogy is that both activities involve decisions under uncertainty against other participants, where the quality of a choice depends on more than…

OptionsEquitiesRisk management
Quant Q&A

The document shows why European calls and puts with the same strike and maturity have equal gamma under put-call parity. It starts from the parity relation between the call, put, spot price, discounted strike, and interest rate. Differentiating once with…

OptionsDerivatives pricing