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
QuantRocket
7 dokumenter
Lumibot strategies
7 dokumenter
Awesome Quant
1 dokumenter

Søk i biblioteket

20,364 dokumenter

Quant Q&A

The example considers a portfolio value defined as Brownian motion squared minus time. Applying Itô’s lemma to this function produces a drift term from the time derivative and the second derivative with respect to the Brownian state, alongside a stochastic…

StatistikkPorteføljekonstruksjon
Quant Q&A

A question reports unstable or negative option values when the step count in an FFT-based binomial calculation becomes large. The accepted response suspects numerical precision loss in the terminal stock-price calculation, which raises up and down factors to…

OpsjonerPrising av derivaterStatistikk
Quant Q&A

The thread addresses implementation questions for two-step estimation of a dynamic conditional correlation GARCH model. In the second-stage likelihood, the log of the determinant of the conditional correlation matrix is a scalar, as is the quadratic form…

VolatilitetStatistikkHistorisk testing
Quant Q&A

The discussion distinguishes two research questions that can look similar but require different outcomes. To compare volatility estimators as forecasting inputs, regress a later realized-volatility measure on each estimator available at the forecast date. A…

VolatilitetStatistikkHistorisk testing
Quant Q&A

The document explains that derivative counterparty-risk models must specify how a defaulted transaction is valued for settlement. It distinguishes risk-free close-out, which values the contract without counterparty-related risk factors, from substitution or…

Prising av derivaterRisikostyringRentepapirer
Quant Q&A

The document asks how to apply antithetic sampling when simulating the Heston stochastic volatility model with a discretized process. The central issue is whether to reverse the random draws only for the stock price or for both the price and variance…

OpsjonerVolatilitetPrising av derivaterStatistikk
Quant Q&A

The discussion compares evaluating a strategy through trade or portfolio returns with simulating a starting capital amount and measuring ending equity or annualized return. It argues that the appropriate view depends on the strategy and how closely the…

Historisk testingRisikostyringPosisjonsstørrelseOrdreutførelse
Quant Q&A

The document presents a QuantLib Python calibration attempt for a time dependent Heston model that fails with a Boost assertion. The code builds a volatility surface, creates a piecewise time dependent model, attaches an analytic pricing engine, and…

OpsjonerVolatilitetPrising av derivaterMaskinlæring
Quant Q&A

The document discusses why an online broker may cap the number of legs in a single options spread order. Its main explanation is that brokers submit orders using structures recognized by options exchanges, and the permitted order formats and applicable rules…

OpsjonerOrdreutførelseMarkedsmikrostrukturPrising av derivater
Quant Q&A

Liquidity depends on the asset class and on how participants access each market. The document compares spot, futures, options, and swaps across currencies, single stocks, equity indices, commodities, and fixed income. It offers a practical framework: there…

Flere aktivaklasserMarkedsmikrostrukturFuturesOpsjoner
Quant Q&A

The document explains why counting losses beyond Value at Risk on the same sample used to estimate the quantile cannot validate a VaR model. For a historical VaR estimate based on past profit and loss observations, the proposed approach is to use a rolling…

RisikostyringHistorisk testingStatistikk
Quant Q&A

The document considers whether an equity option’s implied volatility should be adjusted when the underlying price moves. It describes alternative ways to hold the volatility surface fixed: sticky strike keeps implied volatility tied to each strike, while…

OpsjonerVolatilitetPrising av derivater
Quant Q&A

The document estimates the chance that a stock reaches a buy limit price at least once during a waiting period. It models log prices as Brownian motion with constant volatility, uses the distribution of the running minimum to relate a price threshold to a…

AksjerStatistikkOrdreutførelseVolatilitet
Quant Q&A

The document explains how the Cox–Ross–Rubinstein binomial option-pricing recursion approaches the Black–Scholes model as the time step shrinks. It corrects the risk-neutral pricing equation, then uses first-order expansions of the up and down moves and the…

OpsjonerPrising av derivaterStatistikk
Quant Q&A

The document examines implausible risk-free rates inferred by regressing option collars on SPX options close to expiration. It explains that put-call parity calculations can become distorted when options and their underlying continue trading on different…

OpsjonerPrising av derivaterMarkedsmikrostrukturOrdreutførelse
Quant Q&A

The discussion offers several explanations for why stock prices may hold up even when current corporate earnings fall sharply during an economic shock. Lower interest rates can support higher valuation multiples because future cash flows are discounted less…

AksjerAmerikanske markederHendelsesdrevet handelMarkedssentiment
Quant Q&A

The note explains why portfolio theory commonly plots expected return against standard deviation rather than variance. Its example combines a risk-free asset with a risky asset: scaling the risky position by one half scales standard deviation by one half,…

PorteføljekonstruksjonStatistikkRisikostyring
Quant Q&A

The document examines a reported average duration of roughly 25 minutes for continuous ETH price rises or falls, measured in five-minute intervals over three months. The response recommends defining what would count as unusual and comparing the observation…

KryptoStatistikkHistorisk testingMarkedsmikrostruktur
Quant Q&A

The document addresses a numerical implementation issue in the CGMY model’s characteristic function. The questioner encounters an error because the expression includes gamma functions evaluated at negative values and asks whether the formula is incorrect.…

OpsjonerPrising av derivaterStatistikk
Quant Q&A

The document discusses autoquotes in the context of research on locked and crossed markets. It distinguishes the paper’s reference to small displayed limit orders that other market participants might trade through from an explanation of the exchange’s…

AksjerMarkedsmikrostrukturOrdreutførelseAmerikanske markeder
Quant Q&A

The document compares two ways to generate paired Brownian increments with a specified negative correlation and time-step variance. One approach draws independent standard normal samples and transforms one using the target correlation; the other draws…

StatistikkHistorisk testing
Quant Q&A

The discussion explains how the cheapest-to-deliver bond can make a Treasury futures curve trade differ from the yield spread suggested by the contract names. A 10-year Treasury note future may be priced around a deliverable bond with a maturity closer to…

FuturesRentepapirerAmerikanske markederRisikostyring
Quant Q&A

This beginner discussion distinguishes an option’s payoff at expiration from its value before expiration. Changing volatility does not alter the European option’s terminal payoff diagram; it changes the premium beforehand by changing the range of possible…

OpsjonerVolatilitetPrising av derivater
Quant Q&A

The responses survey reinforcement learning (RL) applications in quantitative finance, with portfolio allocation as the main example. They describe critic-only methods, which choose actions using learned value estimates; actor-only methods, which optimize…

MaskinlæringPorteføljekonstruksjonHistorisk testingOrdreutførelse