Přeskočit na obsah

Znalostní knihovna

Shrnutí a klíčové myšlenky knih, studií, článků a kódu, které čtou naši agenti AI. Připravuje je výzkumný agent Stratmillu. Každá stránka odkazuje na originál.

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

Prohledat knihovnu

20,364 dokumentů

Quant Q&A

This exchange considers how the Avellaneda–Stoikov reservation price responds to a stock's price scale and an inventory measured in shares. The question compares a stock before and after a large share consolidation, where the share price and volatility per…

AkcieTvorba trhuMikrostruktura trhuVolatilita
Quant Q&A

This discussion compares Monte Carlo simulation with analytical, partial differential equation, and numerical integration methods for option pricing. Monte Carlo is useful when the model lacks a tractable solution, payoffs depend strongly on the price path,…

OpceOceňování derivátůStatistikaŘízení rizik
Quant Q&A

The document derives the solution to a geometric Brownian motion whose drift and volatility vary with time. Applying Itô's lemma to the logarithm of the asset price produces a drift term adjusted by half the instantaneous variance, alongside a stochastic…

AkcieStatistikaOceňování derivátů
Quant Q&A

This discussion explains how to estimate annualized volatility from a sequence of weekly stock prices. The method is to calculate consecutive log returns, find their sample standard deviation to estimate weekly volatility, then scale it by the square root of…

AkcieVolatilitaStatistika
Quant Q&A

The document considers whether a backtest with 50 trades and a 60% win rate reflects skill or chance. It argues that repeatedly comparing the observed result with randomly generated strategies does not, by itself, establish a false-positive probability. A…

Zpětné testováníStatistikaŘízení rizik
Quant Q&A

The document addresses how to choose a threshold for volume-based sampling bars, in response to a question about setting the dollar value for dollar bars. The suggested approach uses a rolling average of recent volume to set a target sampling frequency:…

Mikrostruktura trhuAkcieStatistika
Quant Q&A

Bootstrapping a yield curve from market instruments produces discount factors or zero rates at the instruments’ maturities. These observed maturities are curve nodes; they do not by themselves specify values at every date. An interpolation method fills in…

Nástroje s pevným výnosemOceňování derivátůStatistika
Quant Q&A

The document outlines how extreme value theory can estimate tail risk, especially for a portfolio of long and short stock options. It recommends the peak-over-threshold approach: select sufficiently extreme losses, fit a Generalized Pareto Distribution, and…

OpceŘízení rizikStatistika
Quant Q&A

The document asks how to implement time-shifted power-law kernels used in a path-dependent volatility model. The model forms volatility from a baseline plus weighted past returns and weighted squared returns. Separate kernels assign the lag-dependent weights…

VolatilitaStatistikaStrojové učeníOceňování derivátů
Quant Q&A

The discussion addresses a regression intended to explain gold using the VIX, the EUR/USD exchange rate, and a US real-rate index. The model uses ridge regression because its author selected a small, theory-informed set of factors, yet reports an adjusted…

KomodityFaktorové investováníStatistikaStrojové učení
Quant Q&A

The discussion explains how a local-volatility model relates an implied-volatility surface to an instantaneous volatility function of spot and time. Its central clarification is that local volatility is calibrated from the current implied surface; if that…

OpceVolatilitaOceňování derivátůStatistika
Quant Q&A

The discussion considers how to make markets in assets with sparse trading, few resting orders, limited participants, high volatility, and wide spreads. Suggested price-discovery inputs include researching who holds the asset, identifying historical buyers…

Tvorba trhuMikrostruktura trhuŘízení rizikProvádění pokynů
Quant Q&A

The document asks how to search for predictive relationships between a target series and many candidate variables. Its example is an inverted, three-month-delayed variable that appears to lead stock prices, and the proposed application is predicting future…

AkcieStatistikaStrojové učeníZpětné testování
Quant Q&A

The document explains the one-period binomial model’s no-arbitrage condition by comparing the stock’s up and down factors with the risk-free growth factor. If the stock’s return in both states is no better than the risk-free asset, shorting stock to buy the…

AkcieArbitrážOceňování derivátůStatistika
Quant Q&A

The document frames a one-month portfolio problem involving cash, a stock, and a six-month European put. Returns are evaluated under the physical measure, but the option’s future market value depends on risk-neutral pricing. The author explains why valuing…

OpceKonstrukce portfoliaOceňování derivátůVolatilita
Quant Q&A

The document asks whether hedging strategies should be compared using the absolute values of their errors or the squared errors. One response favors squared-error summability, noting that it is a weaker requirement than absolute summability and that squaring…

Řízení rizikOceňování derivátůStatistika
Quant Q&A

The document considers ways to investigate fractal behavior and harmonic patterns in stock time series, with the broader aim of building trading systems. Its concrete suggestion is to fit a Daubechies wavelet and examine coefficients across scales at a fixed…

AkcieStatistikaTechnické indikátoryStrojové učení
Quant Q&A

The document explains how state prices and a stochastic discount factor express the same pricing rule in different forms. In a discrete set of possible future states, a state price is the current price of a claim paying one unit only in a particular state.…

Oceňování derivátůStatistikaArbitráž
Quant Q&A

The document compares minimizing portfolio variance for a specified expected return with maximizing expected return at a specified variance, while also requiring weights to sum to one. It derives a candidate solution for the unconstrained version of the…

Konstrukce portfoliaŘízení rizikStatistika
Quant Q&A

The document asks how to price an Arrow security that pays one unit if a specified event occurs at a future date. It frames the question through the stochastic discount factor: the current value is expressed as the expected product of that factor and the…

Oceňování derivátůStatistikaNástroje s pevným výnosem
Quant Q&A

The document concerns Greeks for the Bachelier model, which assumes normally distributed price changes. The author says delta, vega, and gamma are straightforward to derive, then focuses on deriving rho and theta when the interest rate is nonzero. They…

OpceOceňování derivátůVolatilita
Quant Q&A

The document introduces a diffusion model that can interpolate between arithmetic Brownian motion and geometric Brownian motion. In the proposed stochastic differential equation, the diffusion term is proportional to the state raised to a power γ. Setting γ…

Oceňování derivátůStatistikaOpce
Quant Q&A

The document explains how the Stochastic Volatility Inspired (SVI) parameterization can represent implied total variance across option strikes. Its formula describes a smile using five parameters: a level, slope scale, skew, horizontal shift, and curvature…

OpceVolatilitaOceňování derivátůStatistika
Quant Q&A

The document discusses adding an explicit high- or low-volatility regime to a Fama–French regression for a stock portfolio. The proposed research question is whether a manager’s factor exposures differ by regime, such as favoring quality during high…

Faktorové investováníVolatilitaStatistikaAkcie