Hopp til innhold

Kunnskapsbibliotek

Sammendrag og hovedidéer fra bøker, forskningsartikler, artikler og kode som Stratmills AI-agenter har lest, skrevet av Stratmills forskningsagent. Hver side lenker til originalen.

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

Søk i biblioteket

20,364 dokumenter

Quant Q&A

The document examines a one-factor Hull–White short-rate simulation and explains why a one-year time step can produce poor paths. Euler–Maruyama approximates the drift over a step of length h and scales the random shock by the square root of h; the presented…

RentepapirerPrising av derivaterVolatilitetStatistikk
Quant Q&A

The discussion clarifies that a Sharpe ratio can be calculated for returns with any distribution, but comparisons become misleading when distributions differ in shape. Its example contrasts two two-outcome portfolios: one has consistently moderate excess…

StatistikkRisikostyringPorteføljekonstruksjon
Quant Q&A

The document presents an eGARCH(1,1) fit to weekly Bitcoin log returns over a multi-year sample, using a generalized error distribution and a date-related dummy variable. The broader research aim is to compare volatility dynamics across Bitcoin, Ethereum,…

KryptoVolatilitetStatistikkRisikostyring
Quant Q&A

The document considers replacing a diversified stock portfolio with long-dated calls on the same companies, keeping the same percentage allocation across names. It asks whether diversification carries over and what additional risks the options introduce. The…

OpsjonerAksjerPorteføljekonstruksjonRisikostyring
Quant Q&A

The document describes a proposed EUR/USD forecasting workflow: take end-of-day closes, log-difference them to seek stationarity, fit an ARMA model using Box–Jenkins methods, inspect residuals, and use their assumed normal distribution to form cumulative…

ValutahandelStatistikkVolatilitet
Quant Q&A

The document asks how to choose a drift for simulating trading volume when pricing an option whose payoff depends on volume. The proposed model treats volume as geometric Brownian motion, and the author recognizes that option pricing calls for risk-neutral…

OpsjonerPrising av derivaterStatistikk
Quant Q&A

The discussion explains how to calculate each asset’s regression beta relative to a portfolio formed from weighted asset returns. In a simple regression, beta is the covariance of the dependent variable with the explanatory variable divided by the…

StatistikkPorteføljekonstruksjonRisikostyring
Quant Q&A

This discussion derives the coefficient that minimizes variance when estimating an expectation with a control variate. For an adjusted estimator of the form X plus θ times the difference between the known mean of Y and Y, the constant mean contributes no…

StatistikkHistorisk testing
Quant Q&A

The discussion points readers seeking variance and volatility swap strategies toward sell-side research and foundational papers. It frames relative-value trading as comparing implied variance across markets using historical relationships: buy the market that…

VolatilitetPrising av derivaterCarry-avkastningRisikostyring
Quant Q&A

The document asks whether a quanto put can have a nonzero foreign-exchange delta, despite the common impression that quanto options are insensitive to FX. The question describes a case where the put’s calculated FX delta is positive and attributes this…

OpsjonerValutahandelPrising av derivater
Quant Q&A

The document asks how to rank assets by variation in their daily trading ranges without relying on their average range. It proposes quadratic variation: take successive observations in the range series, calculate each change, square the changes, and sum…

StatistikkVolatilitet
Quant Q&A

The document compares the Yang–Zhang volatility estimator as presented in Euan Sinclair’s book with the implementation in the TTR package. It focuses on the open and close variance terms: the book’s displayed formulas use open-to-open and close-to-close…

VolatilitetStatistikkTekniske indikatorer
Quant Q&A

The document addresses how to calculate the kurtosis of a straddle payoff formed by combining call and put outcomes. The response corrects an attempted combination rule: even if cross co-kurtosis terms are assumed to vanish, the weighted sum of the…

OpsjonerStatistikkPrising av derivater
Quant Q&A

The document examines the meaning of the effective time length used to describe exponentially weighted covariance estimates. Its central explanation starts with a recursively smoothed scalar series, expands that recursion into geometrically declining weights…

StatistikkPorteføljekonstruksjonRisikostyring
Quant Q&A

The document explains why one-minute price-history downloads for different symbols can contain different numbers of observations, even when requested with identical settings and an assumed regular trading window. The key clue is the timestamps: the returned…

AksjerStatistikk
Quant Q&A

The document shows how to plot fitted conditional volatility together with forecasts from a GARCH(1,1) model in R. Its example uses the fGarch package to specify and simulate a normally distributed GARCH process, fit the model, and predict future conditional…

VolatilitetTekniske indikatorerHistorisk testing
Quant Q&A

The document explains why an instantaneous forward rate is generally not the ordinary risk-neutral expectation of a future short rate when rates are stochastic. It corrects a derivation that differentiates the expected discount factor as though the result…

RentepapirerPrising av derivaterStatistikk
Quant Q&A

The document answers a request for accessible study resources on Monte Carlo simulation for pricing derivatives at roughly master’s level. It names a course text associated with a master’s degree and recommends Paul Glasserman’s book as another source on…

Prising av derivaterOpsjonerStatistikk
Quant Q&A

The document considers how a mathematically trained researcher can find publishable questions in financial mathematics, especially beyond algorithmic trading. Its answer cautions that identifying problems with academic value and broader economic or social…

Flere aktivaklasserMarkedsmikrostrukturStatistikk
Quant Q&A

The document explains how volatility inputs differ when an option expires before its underlying commodity forward settles. It distinguishes options on different forward contracts: a quote for a two-month option on a two-month contract should not…

RåvarerOpsjonerVolatilitetPrising av derivater
Quant Q&A

The document considers whether EUR/USD returns can serve as the market benchmark when applying CAPM to Bitcoin returns. Its response treats Bitcoin as a currency for this purpose and suggests constructing a broader currency-market proxy by averaging returns…

KryptoValutahandelStatistikk
Quant Q&A

The document examines whether random trading has zero expected value before transaction costs, focusing on passive limit orders. If an uninformed trader posts bids and offers without managing execution, informed counterparties may be more likely to trade…

MarkedsmikrostrukturOrdreutførelseRisikostyring
Quant Q&A

The document discusses discretizing a Merton-style jump-diffusion process for simulation. Rather than applying a basic Euler step directly to the asset price, the accepted answer works with log price. Each interval adds the drift adjusted for diffusion, a…

Prising av derivaterStatistikkHistorisk testing