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Kennisbibliotheek

Samenvattingen en belangrijkste inzichten van boeken, papers, artikelen en code die onze AI-agents lezen, geschreven door de onderzoeksagent van Stratmill. Elke pagina verwijst naar het origineel.

Quant Q&A
20,364 documenten
SuperMind
12,226 documenten
OKX Learn
8,431 documenten
Strategy library
7,910 documenten
MQL5 code base
7,090 documenten
BigQuant
3,481 documenten
Bitget Academy
3,298 documenten
MQL5 articles
3,012 documenten
TradingView scripts
1,976 documenten
ProRealCode
1,507 documenten
Deribit Insights
1,232 documenten
Machine Learning for Trading
1,124 documenten
arXiv papers
1,033 documenten
Amberdata research
766 documenten
FMZ forum
682 documenten
FMZ digest
662 documenten
vn.py community
560 documenten
QuantInsti blog
511 documenten
Galaxy Research
340 documenten
QuantStart
246 documenten
Stratmill research code
219 documenten
Robot Wealth
195 documenten
NautilusTrader
191 documenten
Hummingbot docs
181 documenten
Paradigm research
175 documenten
Lumibot
164 documenten
Kraken Learn
163 documenten
Bibliotheek quantcursussen
157 documenten
OctoBot
152 documenten
Cryptohopper blog
144 documenten
Systematic trading blog (Rob Carver)
132 documenten
Qlib
116 documenten
TqSdk
86 documenten
Quantpedia
86 documenten
Hyperliquid docs
79 documenten
Freqtrade
68 documenten
Hudson & Thames
62 documenten
Awesome Systematic Trading
61 documenten
backtrader
54 documenten
vn.py
50 documenten
Binance API docs
45 documenten
Quantopian-colleges
45 documenten
FMZ guides
38 documenten
pysystemtrade
34 documenten
Freqtrade docs
32 documenten
quant-trading
31 documenten
FinRL
28 documenten
Zipline
22 documenten
FMZ live strategies
21 documenten
Jesse
17 documenten
pyfolio
16 documenten
Alphalens
14 documenten
WonderTrader
14 documenten
backtesting.py
11 documenten
Technical Analysis
9 documenten
QTPyLib
8 documenten
QuantRocket
7 documenten
Lumibot strategies
7 documenten
Awesome Quant
1 documenten

Doorzoek de bibliotheek

20,364 documenten

Quant Q&A

The document poses a problem about finding a high quantile for the sum of two dependent random variables. Each variable is modeled with an extreme value distribution, and their dependence is represented by a Gumbel copula. The question highlights a common…

StatistiekRisicobeheer
Quant Q&A

The document outlines a multi-curve approach to building the euro three-month forward curve alongside the OIS discount curve. It identifies short-dated futures, swaps at longer maturities, and LIBOR–OIS basis swaps as market instruments used in the process.…

Vastrentende waardenFuturesPrijsbepaling van derivaten
Quant Q&A

The document addresses whether the time integral of squared Brownian motion is a random variable and how to find its first two moments. It computes the expectation by interchanging expectation and integration, then using the fact that standard Brownian…

Statistiek
Quant Q&A

The document shows how to calculate a cohort-level single monthly mortality rate (SMM) from loan-level data. The cohort SMM is the total prepaid monthly balance divided by the total scheduled balance across the loans in that cohort. Equivalently, it is a…

Vastrentende waardenStatistiek
Quant Q&A

The document explains the difference between credit default swaps and recovery swaps in the context of loan default risk. A CDS provides protection when a defined credit event occurs, such as a borrower’s failure to make a coupon payment. The protection…

Vastrentende waardenPrijsbepaling van derivatenRisicobeheer
Quant Q&A

The document distinguishes returns from cumulative returns and explains how the definition of the cumulative window affects stationarity. A cumulative return measured from a fixed starting date accumulates variation over time, so even when the underlying…

StatistiekAandelenVastrentende waardenRisicobeheer
Quant Q&A

Fast stochastic %K and Williams %R both measure a closing price’s position within the high-low range over a chosen lookback window. The document defines %K as the close’s distance above the low, scaled to a 0–100 range, and %R as the distance below the high,…

Technische indicatorenStatistiek
Quant Q&A

The document frames numerical solution of a nonlinear pricing PDE for a derivative under the uncertain volatility model. Volatility is selected from a lower or upper bound according to the sign of the solution’s second spatial derivative, so the PDE is…

Prijsbepaling van derivatenVolatiliteitStatistiek
Quant Q&A

The discussion explains why estimating returns and covariances from historical prices for Modern Portfolio Theory (MPT) does not, by itself, contradict the weak Efficient Market Hypothesis (EMH). MPT prescribes how to allocate assets given expectations about…

PortefeuilleconstructieStatistiekAandelenRisicobeheer
Quant Q&A

The discussion presents stochastic portfolio theory (SPT) as a framework for portfolio growth that accounts for asset variances and co-movements. It contrasts arithmetic expected returns with long-run logarithmic growth, explaining that volatility can reduce…

PortefeuilleconstructieStatistiekPositiegrootteAandelen
Quant Q&A

The discussion distinguishes a derivative’s contractual cash flows from the funding burden a dealer may face while holding and hedging an uncollateralized position. A forward entered at zero value can later become an asset or liability without requiring the…

Prijsbepaling van derivatenRisicobeheerVastrentende waarden
Quant Q&A

The note examines whether Rebonato’s swaption volatility approximation works only near the money. The questioner compares Black prices using the approximation with Monte Carlo prices, reporting larger discrepancies for strikes farther from at-the-money in…

OptiesPrijsbepaling van derivatenVolatiliteitStatistiek
Quant Q&A

The document connects the elliptic form of the Heston stochastic volatility operator to a boundary value problem with Dirichlet conditions. It explains that solutions to obstacle problems for this operator can represent value functions for perpetual…

OptiesPrijsbepaling van derivatenVolatiliteitVastrentende waarden
Quant Q&A

The discussion considers software requirements for currency arbitrage, including fast market-data updates, processing many combinations, exchange connectivity, account support, and algorithm scripting. The replies caution that FX markets are not generally…

ValutahandelArbitrageOrderuitvoeringMarktmicrostructuur
Quant Q&A

The note derives a Monte Carlo estimator for a European log-contract whose terminal payoff is the logarithm of the asset price relative to its initial price. Under risk-neutral Black–Scholes dynamics, Itô’s lemma gives a lognormal terminal asset price, which…

OptiesPrijsbepaling van derivatenStatistiekBacktesten
Quant Q&A

The document considers why the Black–Scholes stock-price expression includes volatility while its expected price growth appears independent of volatility. It asks whether this means investors should accept a risky asset whose expected return equals the…

OptiesPrijsbepaling van derivatenVolatiliteitStatistiek
Quant Q&A

The document raises a measurement concern for historical tests of covered interest rate parity (CIP). It notes that interbank forward quotes are commonly expressed against the US dollar, with a stated exception, and asks whether inconsistencies between…

ValutahandelArbitrageCarryMarktmicrostructuur
Quant Q&A

The document asks whether the Poisson-mixture formula used to price European options under Merton’s jump-diffusion model can also price American options. For European contracts, the cited formula weights Black–Scholes prices adjusted for the number of jumps…

OptiesPrijsbepaling van derivatenVolatiliteitStatistiek
Quant Q&A

The document explains how to interpret a table reporting the risk of a dynamically delta-hedged option position. It describes simulating stock-price paths at the stated weekly frequency, computing the option delta at each step, and adjusting the share…

OptiesPrijsbepaling van derivatenVolatiliteitRisicobeheer
Quant Q&A

The document considers whether historical VaR for a single instrument can be extended to a one-year horizon. The main answer warns that long-horizon estimates are highly sensitive to the assumed or estimated mean return. Since drift is difficult to estimate…

RisicobeheerStatistiekBacktesten
Quant Q&A

The document collects suggested reading for an internship in model risk management focused on counterparty credit risk, especially exposure from derivatives. Its references cover modeling, pricing, and hedging counterparty exposure; credit valuation…

Prijsbepaling van derivatenRisicobeheerOptiesVastrentende waarden
Quant Q&A

The document asks which unsupervised learning methods can help discover patterns in manually selected financial time-series features, with the aim of making broad predictions about future price behavior. It gives examples ranging from predicting the next…

Machine learningStatistiekAandelen
Quant Q&A

The document discusses how to compare the VIX with realized volatility calculated from daily S&P 500 index prices. The questioner computes rolling volatility from log returns, annualizes it using the square root of 252, and asks whether a 30-day or roughly…

VolatiliteitOptiesAmerikaanse marktenStatistiek
Quant Q&A

The document proposes modeling a positive process by making its logarithm an Ornstein–Uhlenbeck process. In this construction, the log value mean-reverts toward a constant level, so the corresponding process is positive and its long-run central level is the…

StatistiekTerugkeer naar het gemiddeldeVolatiliteit