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Biblioteca de cunoștințe

Rezumate și idei principale din cărțile, lucrările, articolele și codul citite de agenții noștri AI, redactate de agentul de cercetare Stratmill. Fiecare pagină trimite la sursa originală.

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

Caută în bibliotecă

20,364 documente

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…

StatisticăGestionarea riscului
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.…

Instrumente cu venit fixContracte futuresEvaluarea derivatelor
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…

Statistică
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…

Instrumente cu venit fixStatistică
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…

Instrumente cu venit fixEvaluarea derivatelorGestionarea riscului
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…

StatisticăAcțiuniInstrumente cu venit fixGestionarea riscului
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,…

Indicatori tehniciStatistică
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…

Evaluarea derivatelorVolatilitateStatistică
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…

Construirea portofoliuluiStatisticăAcțiuniGestionarea riscului
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…

Construirea portofoliuluiStatisticăDimensionarea pozițiilorAcțiuni
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…

Evaluarea derivatelorGestionarea risculuiInstrumente cu venit fix
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…

OpțiuniEvaluarea derivatelorVolatilitateStatistică
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…

OpțiuniEvaluarea derivatelorVolatilitateInstrumente cu venit fix
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…

ForexArbitrajExecuțieMicrostructura pieței
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…

OpțiuniEvaluarea derivatelorStatisticăTestare istorică
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…

OpțiuniEvaluarea derivatelorVolatilitateStatistică
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…

ForexArbitrajCarryMicrostructura pieței
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…

OpțiuniEvaluarea derivatelorVolatilitateStatistică
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…

OpțiuniEvaluarea derivatelorVolatilitateGestionarea riscului
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…

Gestionarea risculuiStatisticăTestare istorică
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…

Evaluarea derivatelorGestionarea risculuiOpțiuniInstrumente cu venit fix
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…

Învățare automatăStatisticăAcțiuni
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…

VolatilitateOpțiuniPiețele din SUAStatistică
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…

StatisticăRevenire la medieVolatilitate