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
QuantRocket
7 dokumentů
Lumibot strategies
7 dokumentů
Awesome Quant
1 dokumentů

Prohledat knihovnu

20,364 dokumentů

Quant Q&A

The document asks how to calculate a firm's unsystematic risk from a market regression, given its R-squared and the regression's standard deviation. It distinguishes total return variability from the part left unexplained by the market. The answer points to…

StatistikaŘízení rizikAkcie
Quant Q&A

The document discusses adding candlestick-pattern features to a machine-learning model that predicts whether a stock’s next daily close will rise or fall. The researcher scores patterns by the share of observed cases in which price moved in the pattern’s…

AkcieStrojové učeníZpětné testování
Quant Q&A

The document derives the familiar annualization rule for covariance of asset log returns: multiply the per-period covariance by the number of periods in a year. It uses the covariance-of-sums identity. When returns within each period may co-move but returns…

Více aktivStatistikaKonstrukce portfolia
Quant Q&A

The document considers a cross-sectional performance-attribution regression with asset returns as the response and style factors plus country indicators as predictors. It asks whether including a dummy for every country alongside a constant makes the model…

AkcieFaktorové investováníStatistika
Quant Q&A

The document considers why the equivalent martingale measure is unique in the standard Black–Scholes setting. Its proof outline represents a candidate measure through a positive density process and uses the predictable representation property to express that…

StatistikaOceňování derivátůŘízení rizik
Quant Q&A

The document explains how to obtain the probability that a stock price modeled by Heston will finish above a specified threshold at a future date. In options terminology, this probability is the undiscounted value of a digital call on the modeled spot…

OpceAkcieVolatilitaOceňování derivátů
Quant Q&A

The document derives the probability that an investment has a positive return over a chosen horizon under a geometric Brownian motion model. Starting with a price process whose drift is 15% and volatility is 10%, it applies Itô’s lemma to show that log…

StatistikaVolatilitaŘízení rizik
Quant Q&A

The document explains why a latency figure is meaningful only when its start and end points are specified. It distinguishes order-to-accept latency, the round trip from sending an order until receiving an acceptance, cancellation, or execution response, from…

Vysokofrekvenční obchodováníProvádění pokynůMikrostruktura trhu
Quant Q&A

The document considers how to store and represent constraints in an asset-allocation program. It raises options such as classifying constraints into categories, defining a small domain-specific language and parser, or using a structured representation such…

Konstrukce portfoliaStatistika
Quant Q&A

The document asks how to attribute the total loss from a sequence of monthly returns to selected months. It points out that returns compound multiplicatively, so simply adding the monthly percentages and assigning a fraction of that sum to the ending loss…

StatistikaKonstrukce portfoliaŘízení rizik
Quant Q&A

The document examines whether Itô’s lemma can derive the risk premium of a derivative without assuming in advance that it shares the underlying asset’s Sharpe ratio. It applies Itô’s lemma to a value defined as the exponential of the risk-free rate times the…

Oceňování derivátůStatistikaŘízení rizik
Quant Q&A

The document asks why a rolling average of a compounded price series can appear to have the same variance as the underlying price levels, even as the averaging window grows. The question contrasts this observation with the familiar intuition that averaging…

StatistikaVolatilita
Quant Q&A

The document investigates why a GARCH(1,1) fit differs from a variance model that replaces its lagged squared-return term with an external regressor. The example uses daily equity returns and compares fitted coefficients from the two specifications. The…

AkcieVolatilitaStatistikaŘízení rizik
Quant Q&A

The document explains why forward Libor rates are often modeled as lognormal in Black’s framework, while clarifying that this distribution is a modeling choice rather than a requirement of no-arbitrage. By expressing a forward rate as a ratio of zero-coupon…

Nástroje s pevným výnosemOpceOceňování derivátůVolatilita
Quant Q&A

The question compares two ways to specify returns when modeling stock prices under the physical measure. A conventional GARCH model uses a constant conditional mean, with volatility changing through the variance process. An alternative adjusts the mean by…

StatistikaVolatilitaOpceŘízení rizik
Quant Q&A

The discussion surveys software and methods for testing options strategies, including multi-leg spreads. It explains why this work is harder than testing linear instruments: historical option chains are large, implied volatility histories may be unavailable,…

OpceZpětné testováníVolatilitaProvádění pokynů
Quant Q&A

The discussion examines whether the risk-neutral measure, used to price securities, should also be used to forecast real-world returns. It argues for comparing predictive performance empirically rather than relying only on theoretical objections or strong…

StatistikaOceňování derivátůOpce
Quant Q&A

The discussion distinguishes elicitation from backtesting. Expected Shortfall (ES) lacks a scoring function that uniquely elicits it as a point forecast, but that limitation does not by itself make ES impossible to backtest. The document cites work proposing…

Řízení rizikZpětné testováníStatistika
Quant Q&A

The document addresses a mistaken either-or choice between modeling returns with a parametric probability distribution and using an autoregressive model. These describe different parts of a model: a distribution specifies the form of uncertainty, while…

StatistikaStrojové učeníVolatilita
Quant Q&A

The document surveys liquidity mechanisms beyond a central limit order book, including requests for quote, streaming quotes, single-dealer platforms, multi-dealer platforms, systematic internalisers, and dark pools. The response focuses on the trade and…

Mikrostruktura trhuProvádění pokynůNástroje s pevným výnosemTvorba trhu
Quant Q&A

The document asks whether a long position in a quarterly bitcoin future and a short position in a perpetual swap can remain market neutral. It explains that perpetual swaps have no expiry and use funding payments to help keep their prices near spot. The…

KryptoměnyFuturesPerpetuální futuresCarry
Quant Q&A

The document discusses the Corwin–Schultz estimator, which infers bid-ask spreads from high and low prices over consecutive days. Its derivation relies on a geometric Brownian motion assumption and a relationship between one-day and two-day variance,…

Mikrostruktura trhuStatistikaVysokofrekvenční obchodováníProvádění pokynů