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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

8,116 documents

Quant Q&A

The document gives an intuition for why averaging can reduce the volatility exposure of an Asian call option with an average-strike payoff. It uses the fact that the time average of standard Brownian motion over a fixed horizon has standard deviation…

OptionsVolatilityDerivatives pricing
Quant Q&A

The question concerns pricing a US three-month Libor cap under euro collateral, where the discounting and forward curves reflect the collateral agreement. It asks whether the volatility quoted for a US-collateralized cap can be reused, given that the pricing…

OptionsDerivatives pricingVolatilityFixed income
Quant Q&A

The document clarifies why the variance of changes in a spread between two correlated geometric Brownian motion assets includes the asset price levels. For the spread defined as the first asset price minus the second, its instantaneous change is the…

OptionsStatisticsDerivatives pricing
Quant Q&A

The document explains why a same-strike FX call and put do not generally have offsetting deltas, so their straddle is not automatically delta neutral. Put-call parity links call and put deltas through the discounted forward, and a delta-neutral straddle…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document examines whether a double-barrier cash-or-nothing option can be priced by subtracting an upper-barrier knock-in binary from a lower-barrier knock-out binary. It defines lower and upper first-hit times and expresses the payoff as the amount paid…

OptionsDerivatives pricing
Quant Q&A

The document asks whether arbitrage freedom implies completeness in a general binomial model and how the condition that the risk-free return lies between the down and up moves matters. The main response states the standard relationship: existence of a…

OptionsStatisticsDerivatives pricing
Quant Q&A

The document discusses pricing a call option on a stock expected to pay a fixed cash dividend during the option’s life. It presents two approximations: convert dividends to a percentage yield when payments move with the share price, or subtract the present…

OptionsDerivatives pricingEquities
Quant Q&A

The document compares two EUR/USD option hedges for a short-euro exposure: a call spread and a risk reversal consisting of a long call and short put. It explains that neither structure is automatically delta neutral. The option legs have their own deltas,…

ForexOptionsDerivatives pricingRisk management
Quant Q&A

The document describes an attempt to estimate an option premium by replicating a strategy using futures order-book snapshots. The data consist of daily observations at noon over one month for futures with different delivery periods. The central question is…

OptionsFuturesVolatilityDerivatives pricing
Quant Q&A

The document examines the expected value and variance of gamma P&L under different delta-hedging intervals. The question assumes normally distributed underlying returns, constant implied volatility, no transaction costs, and a constant dollar gamma exposure.…

OptionsVolatilityRisk managementStatistics
Quant Q&A

The document shows how to value a call whose payoff applies leverage and a shift to the terminal underlying price. For a positive leverage factor, the payoff can be factored into the leverage multiplied by a standard call payoff. This transforms the original…

OptionsDerivatives pricing
Quant Q&A

The question asks how to price a European call when the underlying follows mean-reverting arithmetic dynamics with constant absolute volatility. The answer frames option valuation through a change to a risk-neutral process: in a complete market with…

OptionsMean reversionVolatilityDerivatives pricing
Quant Q&A

The document explains the one-period binomial model’s no-arbitrage condition: the risk-free gross return must lie strictly between the down and up factors. If both possible stock returns exceed the risk-free return, borrowing at the risk-free rate to buy the…

OptionsDerivatives pricingArbitrageRisk management
Quant Q&A

This exchange examines why realized volatility can support profits from a long gamma position and why volatility alone does not determine the result. The questioner understands that scalping requires buying after a decline and selling after a rise, and asks…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document asks whether Monte Carlo simulation can benchmark tree methods for pricing American options with discrete dividends, and how such a simulation should be built. The response explains a key difficulty: Monte Carlo simulates paths forward, while…

OptionsDerivatives pricingBacktesting
Quant Q&A

The document considers how to set up a finite-difference method (FDM) when the goal is to price one option at a known initial spot, rather than study the option value across many starting prices. The response recommends centering the price grid on the…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks what to study beyond prominent stochastic-volatility models such as Hull–White, Heston, and SABR. It identifies incompleteness as one important issue: stochastic-volatility models may admit multiple equivalent martingale measures, so…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document examines why the Longstaff–Schwartz method assumes American option payoffs are square-integrable, and asks how that assumption relates to finite Monte Carlo samples, regression bases, and path-dependent payoffs. The answer distinguishes the…

OptionsMachine learningStatistics
Quant Q&A

This note distinguishes two related option concepts: implied volatility across strikes and vega, the sensitivity of an option’s price to a change in volatility. It explains that strike-specific implied volatility reflects market pricing and expectations that…

OptionsVolatilityDerivatives pricing
Quant Q&A

This note considers replacing a long stock and short stock position in a pairs trade with synthetic option positions. It asks whether the synthetic exposure has the same risk and reward as holding the underlying shares directly. The response suggests that…

Pairs tradingEquitiesOptionsExecution
Quant Q&A

This note asks why a long-dated cash-or-nothing put can be worth more than a comparable call when the underlying follows a geometric Brownian motion with zero drift. It points to Black–Scholes binary option pricing, where call and put values depend on…

OptionsDerivatives pricingStatistics
Quant Q&A

The document raises a question about the delta-hedging step in the Black–Scholes derivation. It observes that option delta depends on both the underlying price and time, and asks why the change in a portfolio holding a delta-sized position in the asset…

OptionsDerivatives pricingStatistics
Quant Q&A

The document explains how to price a payer swaption when the forward swap rate follows a normal, or Bachelier, model rather than a lognormal Black model. It expresses the swaption payoff as the positive part of the difference between the swap rate and…

OptionsFixed incomeDerivatives pricingVolatility
Quant Q&A

The document discusses staircase-shaped prices from an explicit finite-difference solution of the Black–Scholes PDE for a digital option. Its central explanation is grid based: with a discontinuous terminal payoff, the computed value depends on which…

OptionsDerivatives pricingBacktestingStatistics