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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
Binance API docs
45 documente
Prelegeri Quantopian
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
WonderTrader
14 documente
Alphalens
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 addresses how to prepare mathematically for advanced quantitative finance texts and front-office quant work. Its answer argues that isolated textbook reading is unlikely to provide a coherent foundation because topics depend on one another; for…

StatisticăEvaluarea derivatelor
Quant Q&A

The document asks how to keep variance nonnegative in a discretized mean-reverting Heston-style model. Its response interprets the variance update as a discretization of a square-root diffusion, then states the Feller condition that keeps the continuous-time…

VolatilitateEvaluarea derivatelorGestionarea risculuiStatistică
Quant Q&A

The document discusses how to choose parameters for simulating stock prices with a Variance Gamma process. The question describes generating a gamma-distributed time change, then a conditionally normal increment, and asks how to estimate the process…

AcțiuniStatisticăTestare istoricăEvaluarea derivatelor
Quant Q&A

The document asks how to explain the vega of an exotic derivative when its volatility surface is represented with Gatheral’s SVI parameterization. It proposes examining changes in each SVI parameter across time slices and approximating the resulting change…

OpțiuniVolatilitateEvaluarea derivatelor
Quant Q&A

The document explains an example comparing the future value of pre-tax and post-tax retirement contributions. It starts with a dollar contribution, a fixed tax rate, an annual return, and a retirement horizon. The post-tax amount is compounded directly; the…

StatisticăGestionarea risculuiConstruirea portofoliului
Quant Q&A

The document asks how to include liquidity effects in a historical-simulation risk model spanning equities and bonds. One response proposes serial autocorrelation in returns as a proxy for trading frictions, reasoning that highly liquid assets should have…

Active din mai multe claseMicrostructura piețeiGestionarea risculuiExecuție
Quant Q&A

The document discusses how to present a quantitative trading interview assignment that forecasts volatility for several stocks from a short high-frequency dataset. The candidate used a Bayesian multivariate stochastic-volatility model and wonders whether the…

VolatilitateÎnvățare automatăStatistică
Quant Q&A

The document asks how to revise the non-default outcomes in a credit rating transition row after new information changes the estimated default probability. It presents three candidate relationships between the original and revised probabilities, each…

Instrumente cu venit fixStatisticăGestionarea riscului
Quant Q&A

The document describes an out-of-sample comparison of one-day-ahead variance forecasts from an ARMA-GARCH model against realized-volatility estimates for twelve stocks. It proposes checking calibration by regressing observed variance on forecast variance: an…

AcțiuniVolatilitateStatisticăTestare istorică
Quant Q&A

The document introduces the distinction between implied and local volatility through a learner’s interpretation of option prices and diffusion models. Implied volatility maps strike and maturity to the volatility that reproduces a market option price under…

OpțiuniVolatilitateEvaluarea derivatelor
Quant Q&A

The document compares approaches for storing financial time series and serving them to R, with particular attention to tick data. One response argues that database choice matters less than matching storage layout and indexing to query patterns: a clustered…

Tranzacționare de înaltă frecvențăMicrostructura piețeiExecuție
Quant Q&A

The document asks whether portfolio concentration by region or industry can serve as a proxy for general wrong-way risk (GWWR). It defines GWWR as a relationship in which broad market factors both increase exposure and raise a counterparty’s probability of…

Gestionarea risculuiInstrumente cu venit fixEvaluarea derivatelorConstruirea portofoliului
Quant Q&A

The document examines whether buying an underlying asset while also buying a put creates an arbitrage opportunity. The response describes the expiration payoff: the protective put limits losses below the put strike, while gains accrue when the underlying…

OpțiuniArbitrajEvaluarea derivatelor
Quant Q&A

The document considers how to encode credit ratings as categorical features when the distance between rating notches may not be linear. It notes ordinal encoding as a common approach and mentions probit, logistic, and exponential transformations as…

Instrumente cu venit fixÎnvățare automatăStatistică
Quant Q&A

The document asks when finite element methods (FEM) are preferable to finite difference methods (FDM) for pricing derivatives. It contrasts FEM’s potential strengths in handling complicated boundaries, weak solutions of partial differential equations, and…

Evaluarea derivatelorOpțiuniStatistică
Quant Q&A

The document discusses data choices for studying covered interest parity (CIP) across currencies when general collateral repo rates at term maturities are difficult to obtain. It explains that short-dated, high-quality government bonds and reverse repos can…

Instrumente cu venit fixForexArbitrajGestionarea riscului
Quant Q&A

The document responds to a request for monthly US Treasury bond return histories extending earlier than commonly used benchmark indices. It identifies the Bloomberg US Treasury Index as having history back to 1973 and points to Ibbotson SBBI five-year and…

Instrumente cu venit fixPiețele din SUAStatistică
Quant Q&A

The document clarifies why Girsanov's theorem may be cited when discussing price processes with zero drift under a martingale measure. Girsanov describes how changing between equivalent probability measures alters a process's drift; in an appropriate…

StatisticăEvaluarea derivatelor
Quant Q&A

The document asks whether open, high, and low prices can be reconstructed when a data source records only bids, asks, and closes. The answer says exact recovery is not possible from those observations alone. In particular, opens and closes are typically…

Microstructura piețeiStatistică
Quant Q&A

The document shows how to price a European option with payoff equal to the positive part of the underlying raised to a constant power, less the strike. Under Black–Scholes, the underlying follows geometric Brownian motion. Applying Itô’s lemma to its power…

OpțiuniEvaluarea derivatelorVolatilitate
Quant Q&A

The document derives how a call option’s price changes as its strike changes. Starting from the risk-neutral expected payoff, it writes the option value as a discounted integral over terminal underlying prices above the strike. Differentiating that…

OpțiuniEvaluarea derivatelorStatistică
Quant Q&A

The document examines a deep out-of-the-money call whose quoted market price implies far more volatility than the data provider reports. Recalculating implied volatility with an American-option model gives a value in the vicinity of 150%, while the provider…

OpțiuniVolatilitateEvaluarea derivatelor
Quant Q&A

The document explains why pricing models need dates converted into year fractions. In Black–Scholes or Monte Carlo pricing, an option’s pricing date and expiry must be expressed as a time to maturity using a day-count convention. Swaps can use different…

Evaluarea derivatelorOpțiuniInstrumente cu venit fix
Quant Q&A

The document frames a choice between forecasting a stock basket’s correlation matrix with rolling-window Kendall’s tau or a generalized orthogonal APARCH(1,1) model. The motivating use is pricing options on a basket whose maturity defines the forecast…

AcțiuniOpțiuniVolatilitateStatistică