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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

10,263 documents

Quant Q&A

The document distinguishes the efficient market hypothesis (EMH) from the random walk hypothesis (RWH). EMH describes prices incorporating available information continuously; RWH says price changes are not predictable and follow a random walk. A random walk…

EquitiesStatisticsDerivatives pricing
Quant Q&A

The discussion examines whether option-adjusted spread can support comparisons among bonds with embedded options, plain bonds, and floating-rate instruments, and whether a plain bond’s OAS matches its Z-spread. It also asks whether an OAS curve can help…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The post studies option pricing under a time-dependent Heston model in which mean reversion changes across time intervals while other listed parameters are held fixed. It compares prices from an Elice method and two Monte Carlo approaches, Milstein and…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The response defines delta-one products by their theoretical sensitivity to the underlying: a change in the underlying produces a corresponding change in the product’s value, giving a delta of one. It adds that the sensitivity should remain constant,…

FuturesEquitiesDerivatives pricingMarket microstructure
Quant Q&A

The document outlines a proposed workflow for pricing a quanto option: estimate marginal distributions for the underlying asset and exchange rate, connect them with a copula, then calculate the expected payoff under the resulting joint distribution. Its main…

OptionsForexDerivatives pricingStatistics
Quant Q&A

This document asks why a 15-period binomial model gives an unexpected value for an American put under specified Black–Scholes assumptions. It does not provide a corrected price or a specific diagnosis. Instead, the response offers a general debugging…

OptionsDerivatives pricingBacktesting
Quant Q&A

The document explains a practical way to quote a binary call by approximating its payoff with a call spread. A seller of the binary can buy a spread around the strike; the spread’s cost provides a replication-based estimate of the option’s price. The…

OptionsDerivatives pricingMarket making
Quant Q&A

The question derives a replication-error expression in which the difference between assumed local volatility and realized volatility is multiplied by option gamma over time. It interprets the sign: for positive gamma, assuming volatility above realized…

OptionsVolatilityRisk managementDerivatives pricing
Quant Q&A

This note examines a fixed-rate bond with a five-year first coupon period followed by semiannual coupons. In the described QuantLib setup, the calculated yield is below the coupon rate even though the bond is issued at par; the author reports that Bloomberg…

Fixed incomeDerivatives pricing
Quant Q&A

This note asks how to value a floating-rate note in a short-rate tree when the tree contains time steps between an IBOR fixing date and the coupon payment date. It proposes valuing backward from each fixing-date node by considering reachable payment-date…

Fixed incomeDerivatives pricing
Quant Q&A

The discussion clarifies how risk-neutral pricing connects to delta hedging and the Black–Scholes equation. In a standard setup, a self-financing hedged portfolio is locally risk-free, so its return is tied to the financing rate. The stock’s real-world…

OptionsDerivatives pricingStatisticsRisk management
Quant Q&A

The document examines a derivation of the change of Brownian motion between the risk-neutral measure and a bond's forward measure in a Heath-Jarrow-Morton interest-rate framework. The original argument derives a discounted bond price under the forward…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document explains how to approximate the curvature of call prices around an at-the-money strike when option strikes are unevenly spaced. Since the risk-neutral density is related to the second derivative of call price with respect to strike, the method…

OptionsDerivatives pricingStatistics
Quant Q&A

The document investigates why QuantLib’s finite-difference Black–Scholes engine produces American put prices that diverge from a reference spreadsheet when discrete cash dividends are scheduled near expiration. The question reports that call prices are close…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document presents a slow nested-loop implementation for pricing European calls, Asian options, digital calls, and up-and-in barrier calls under the Merton jump-diffusion model. It motivates the problem as a comparison with the exponential variance-gamma…

OptionsDerivatives pricingMachine learningBacktesting
Quant Q&A

The discussion considers how to estimate the expected termination time of an American put, counting maturity as the termination date when the holder never exercises early. One proposed approximation uses the time-zero price difference between otherwise…

OptionsDerivatives pricingStatistics
Quant Q&A

The document clarifies how to apply Itô’s lemma to arithmetic Brownian motion written as a deterministic time term plus a scaled Brownian process. The key point is to define a function of two arguments, time and the current process value, then take the…

StatisticsDerivatives pricing
Quant Q&A

The document addresses why a futures price is modeled as a martingale under the risk-neutral measure even though its expected path under the real-world probability measure may rise. Daily settlement and the absence of a futures contract’s funding cost…

FuturesDerivatives pricingStatistics
Quant Q&A

The document examines delta hedging a quanto call when the underlying is priced in a foreign currency and the portfolio is accounted for in a domestic currency. A hedge based only on the foreign share count misses the currency conversion: the domestic value…

OptionsForexDerivatives pricingRisk management
Quant Q&A

The document explains why a simple interest-rate-differential formula may fail to match observed three-month FX forward points. It identifies cross-currency basis as the key market adjustment that emerged prominently after the global financial crisis. The…

ForexDerivatives pricingFixed income
Quant Q&A

The document derives a lower bound for a European put on a non-dividend-paying stock by comparing two portfolios. One portfolio holds the put and one share; the other holds a zero-coupon bond that pays the strike at expiration. At maturity, the put-stock…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document asks how a delta-hedged portfolio of two options leads to a Black–Scholes pricing equation, including a term for the underlying asset’s market price of risk. It writes the portfolio as one option minus a delta-scaled position in another, then…

OptionsDerivatives pricingRisk managementStatistics
Quant Q&A

The document asks whether a closed-form valuation exists for an American down-and-out call whose principal amortizes linearly with elapsed time if the option is knocked out. It frames the payoff as a possible time-dependent rebate and compares the problem…

OptionsDerivatives pricing
Quant Q&A

The document derives a self-financing replicating portfolio for a European put in a Black-Scholes market with a risky asset and a deterministic bank account. Applying Itô’s lemma to the option value and matching the diffusion terms identifies the risky-asset…

OptionsDerivatives pricingRisk management