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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 describes using quasi-Monte Carlo (QMC) points to generate Gaussian shocks for simulated asset paths, with a Brownian bridge (BB) arranging those shocks across time. It recommends mapping low-discrepancy uniform points through the inverse normal…

OptionsDerivatives pricingStatisticsBacktesting
Quant Q&A

The document discusses estimating a Heston stochastic volatility model with an Unscented Kalman Filter. The response recommends expressing the system in log prices or returns rather than raw prices, then discretizing the price and variance dynamics as a…

OptionsVolatilityStatisticsDerivatives pricing
Quant Q&A

The document considers how to price options with maturities as long as several decades when market quotes for those maturities are unavailable or illiquid. It raises three possible inputs: calibrating to the liquid portion of the volatility surface, using…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document asks why derivatives traders use stochastic-volatility models when pricing and hedging products such as digital options. It frames the issue through approximate static replication: a digital payoff can be approximated with a narrow put spread,…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document asks where academics can obtain free data to train an approximation of the Black–Scholes pricing model. It identifies the model inputs the author has in mind: share price, strike, risk-free rate, volatility, and time to expiration. The author…

OptionsDerivatives pricingMachine learningStatistics
Quant Q&A

The discussion explains how Fourier transforms and characteristic functions can price European options when the underlying log-price density is difficult to obtain directly. It starts from the discounted expected payoff, expresses that expectation as an…

OptionsDerivatives pricingVolatilityBacktesting
Quant Q&A

A payer swaption gives its holder the right to enter a swap in which fixed is paid and floating is received. The discussion clarifies the option’s rate and bond-price interpretation: a payer swaption behaves like a call on the future swap rate and a put on a…

Fixed incomeOptionsDerivatives pricingRisk management
Quant Q&A

The document discusses why the binomial call option delta implies that a portfolio holding delta shares and short one call has the same value in the up and down states. Delta is the change in option value divided by the change in stock price, so the equality…

OptionsDerivatives pricingRisk management
Quant Q&A

The discussion explains why a deep-in-the-money European put can have positive theta when interest rates are positive. As the stock price approaches zero, the put behaves roughly like a zero-coupon bond paying its strike at expiration; the passage says this…

OptionsDerivatives pricingRisk management
Quant Q&A

The document describes a passport option whose terminal payoff is the positive part of the trading portfolio value. The portfolio holds a bounded quantity of the underlying asset, with the remainder in cash, and its value depends on both the asset price and…

OptionsDerivatives pricingRisk managementStatistics
Quant Q&A

The post asks whether QuantLib’s Longstaff–Schwartz Monte Carlo engine for American options can use non-Gaussian random draws, such as Student-t variates, while pricing under a Black–Scholes–Merton process. The author considers changes to distribution and…

OptionsDerivatives pricingMachine learning
Quant Q&A

The document outlines a parametric approach to option value-at-risk using a first-order Taylor approximation. It estimates option price changes as the sum of delta exposure to underlying-price changes and vega exposure to implied-volatility changes. Under…

OptionsRisk managementStatistics
Quant Q&A

The document uses a delta-hedged option approximation to estimate the underlying price move needed to offset one day of time decay. Setting the approximate gamma gain equal to theta decay gives a break-even move proportional to the square root of twice the…

OptionsFuturesCommoditiesVolatility
Quant Q&A

The document contrasts the end-of-month delivery option in Treasury futures with the switch option before and after futures trading ends. Before expiry, the futures price remains variable and is driven mainly by the converted price of the cheapest-to-deliver…

FuturesFixed incomeOptions
Quant Q&A

The document challenges the claim that demand is generally greater for out-of-the-money and in-the-money options than for at-the-money options. The responses distinguish trading volume from volatility-smile explanations: near-the-money options are described…

OptionsVolatilityMarket microstructure
Quant Q&A

The document considers how to use an option on a zero-coupon bond to protect a minimum yield. Its response translates a yield threshold into an approximate bond-price strike, then explains the position direction: selling a call at that strike limits the…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document examines a common first-order approximation for the premium of an FX risk reversal: multiply at-the-money option vega by the risk reversal in volatility points. It explains that the approximation should compare the market-priced call and put…

ForexOptionsVolatilityDerivatives pricing
Quant Q&A

The document distinguishes ordinary open interest from dealer directional open interest (DDOI). Open interest counts outstanding contracts without identifying who holds the long or short side, while DDOI attempts to infer dealers’ net option exposure because…

OptionsMarket makingMarket microstructureDerivatives pricing
Quant Q&A

A single-look CMS spread option pays on the difference between two forward constant-maturity swap rates relative to a strike on one expiry date. A CMS spread cap or floor instead consists of options settling on multiple dates. Both structures can express a…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document addresses a mismatch between an analytic price and a Monte Carlo estimate for a floating lookback put under geometric Brownian motion. The question gives a volatility, maturity, interest rate, time step, and spot, and reports that the simulation…

OptionsDerivatives pricingBacktesting
Quant Q&A

The document explains why barrier-option Greeks cannot be represented by one general curve. Their shapes depend on spot, strike, barrier placement, volatility, and time to expiry. In a knock-out call, a rising spot can increase the call’s payoff potential…

OptionsDerivatives pricingVolatility
Quant Q&A

The document explains how to select the interest rate input in Black–Scholes pricing. In the basic model, the rate represents short-term risk-free funding over the option’s life; a continuously compounded government bill yield with a maturity near the option…

OptionsDerivatives pricingFixed income
Quant Q&A

The document shows how to estimate the real-world probability that a stock will finish within a specified price interval using a geometric Brownian motion model. It treats the stated required annual return as the drift and, for illustration, uses implied…

EquitiesOptionsVolatilityStatistics
Quant Q&A

Vega and gamma often have the same sign for a single option under standard assumptions, but a calendar spread can produce opposite exposures. The example pairs a long near-dated at-the-money option with a short longer-dated at-the-money option, yielding long…

OptionsVolatilityDerivatives pricing