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Libreria delle conoscenze

Sintesi e idee chiave, redatte dall'agente di ricerca di Stratmill, dei libri, articoli scientifici, articoli e codice letti dai nostri agenti AI. Ogni pagina rimanda all'originale.

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

Cerca nella libreria

20,364 documenti

Quant Q&A

The document asks how to derive an approximation that maps at-the-money implied volatility to volatility at another strike under a lognormal distribution. The relationship is framed as a strike-dependent scaling rule, using the ratio of the at-the-money…

OpzioniVolatilitàPrezzi dei derivati
Quant Q&A

The document asks why two stated formulas for option vanna appear to differ by a factor of one hundred. It gives expressions involving spot price, volatility, time to maturity, the Black-Scholes variables, and vega, then reports that substituting a…

OpzioniPrezzi dei derivatiVolatilità
Quant Q&A

The document questions whether a bank’s coded option pricing function can sensibly be used to calculate the profit and loss of a short option position. It presents a one-period P&L expression that combines the change in the option’s model price, interest on…

OpzioniPrezzi dei derivatiGestione del rischio
Quant Q&A

The document explains that an incomplete market generally has multiple equivalent martingale measures rather than a unique risk-neutral measure. For a nonreplicable claim, expected discounted payoffs under these measures yield a range of arbitrage-free…

Prezzi dei derivatiOpzioniGestione del rischioStatistica
Quant Q&A

The document clarifies that “heat-map method” may refer to a way of assessing VaR model performance rather than a procedure for calculating VaR. In the answer provided, historical VaR breaches are counted over a review window and mapped to colored zones: a…

Gestione del rischioBacktestStatistica
Quant Q&A

The document explains why investors searching SEC filings may not find loan-level ABS-EE data for residential mortgage-backed securities. The key distinction is between publicly registered offerings, for which loan-level disclosures are required, and Rule…

Reddito fissoMercati statunitensiStatistica
Quant Q&A

The document explains how counterparties manage exposure on OTC variance swaps when initial or maintenance margin is not posted. It says that many OTC swaps are governed by a credit support annex, but arrangements vary; without margin, counterparties rely…

OpzioniVolatilitàPrezzi dei derivatiGestione del rischio
Quant Q&A

The document challenges the idea that PCA and machine learning are rarely used in trading. It notes that machine learning covers many methods, from linear regression to random forests, and that firms have had varying degrees of success with them. It then…

Apprendimento automaticoStatisticaReddito fissoAzioni
Quant Q&A

The document considers how a leveraged exchange-traded fund affects the Sharpe ratio. Its answer applies a simple proportional scaling argument: if returns are doubled, their expected value doubles and their variance quadruples, so their standard deviation…

AzioniStatisticaGestione del rischio
Quant Q&A

The document explains why an uncollateralized OTC derivative can still impose funding costs on a bank, even though the trade itself requires no initial cash. One source is the hedge: the bank may hedge through collateralized interbank trades, and adverse…

Prezzi dei derivatiGestione del rischioReddito fisso
Quant Q&A

The explanation frames interest-rate hedging as offsetting the sensitivity of a portfolio’s market value to movements in the risk-free curve. It values a debt instrument by discounting its dated cash flows using factors that reflect rates and other…

Reddito fissoPrezzi dei derivatiGestione del rischioCostruzione del portafoglio
Quant Q&A

The document asks how to calculate the remaining principal on a loan when interest accrues using Actual/360 or Actual/Actual day-count conventions. It contrasts these methods with a 30/360 amortization, for which a level-payment annuity formula can express…

Reddito fissoStatistica
Quant Q&A

The discussion diagnoses an implausibly large cumulative return in a simple moving-average crossover backtest. The strategy uses closing prices and a 10-day simple moving average to set a long or short position, then applies that position to daily asset…

BacktestIndicatori tecniciTrend followingEsecuzione
Quant Q&A

The discussion examines whether corporate bond OAS should be adjusted for price or coupon differences when comparing bonds from the same issuer. It distinguishes a bond’s long-term value relative to a credit curve from its short-term trading value, which may…

Reddito fissoPrezzi dei derivatiStatisticaGestione del rischio
Quant Q&A

The document addresses why nearby option strikes can show sharply different open interest. Its proposed explanation is a preference for round-number strikes: traders may concentrate positions at salient levels such as 7,400, leaving a nearby strike like…

OpzioniMicrostruttura del mercatoSentiment
Quant Q&A

The note explains why the effect of implied volatility on a vertical credit spread depends on the net Greeks of its two option legs. A credit spread sells one option and buys another with the same expiration but a different strike, receiving a net premium at…

OpzioniVolatilitàPrezzi dei derivatiGestione del rischio
Quant Q&A

The document considers why a stock price can move repeatedly even when company news does not arrive at the same pace. It presents price as a noisy proxy for underlying value: after news, market participants may take time to interpret its implications and…

AzioniMicrostruttura del mercatoTrading ad alta frequenzaStatistica
Quant Q&A

The note distinguishes quoted bond prices from bond yields. It explains that a U.S. bond price such as 99 1/8 represents 99.125 per 100 of par, while a yield is the discount rate that equates the present value of coupon and principal cash flows with the…

Reddito fissoMercati statunitensiPrezzi dei derivati
Quant Q&A

The document compares two ways to forecast daily variance with a GARCH(1,1) model when five-minute returns are available. In the first approach, the model is fit or applied at the daily horizon, using a realized-variance estimate and a prior daily variance…

VolatilitàStatisticaBacktest
Quant Q&A

The document discusses the purpose of meta-labeling in machine-learning trading systems. It responds to the concern that a secondary model merely filters trades and might overfit historical examples. The proposed framing is to start with a primary strategy…

Apprendimento automaticoBacktestIndicatori tecnici
Quant Q&A

The document poses a terminal-value PDE in two variables with second derivatives in each variable, a mixed derivative, and a source term proportional to one state variable. It asks how to solve the equation when reducing the two-dimensional dependence…

StatisticaPrezzi dei derivati
Quant Q&A

The document explains how to simulate a geometric Brownian motion after changing from the physical measure, where the drift is the expected return, to the risk-neutral measure, where the drift is the risk-free rate. It derives the change in Brownian motion…

StatisticaPrezzi dei derivatiBacktest
Quant Q&A

The document considers how to simulate correlated asset returns for Monte Carlo mean-variance portfolio optimization. A common approach starts with independent standardized draws and multiplies them by a matrix factor of the target covariance matrix,…

Costruzione del portafoglioStatisticaBacktest
Quant Q&A

The document distinguishes utility representations under certainty from expected utility under uncertainty. Under certainty, any increasing transformation of a utility function preserves the ranking of preferences. With lotteries, preferences are represented…

Statistica