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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
TqSdk
86 dokumenter
Quantpedia
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
Binance API docs
45 dokumenter
Quantopian-forelesninger
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
WonderTrader
14 dokumenter
Alphalens
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 explains the Carr–Madan formula as a way to represent a sufficiently smooth payoff as a linear position in the underlying, a cash amount, and integrals of European put and call payoffs across strikes. The decomposition expands the payoff around…

OpsjonerPrising av derivaterVolatilitetPorteføljekonstruksjon
Quant Q&A

The document shows how put–call parity can identify an arbitrage across European options with two different strikes, even when the current stock price is unknown. Applying parity separately at each strike and subtracting the equations removes the stock-price…

OpsjonerArbitrasjePrising av derivater
Quant Q&A

The document discusses extracting implied volatility from American option prices using a Cox–Ross–Rubinstein binomial tree. The tree prices the option by working backward from terminal payoffs, comparing continuation value with early exercise value at each…

OpsjonerVolatilitetPrising av derivaterOrdreutførelse
Quant Q&A

The document explains how to simulate stock paths when periodic log returns are modeled with a Normal Inverse Gaussian (NIG) distribution, with the aim of pricing options by Monte Carlo. It warns that an NIG random variable cannot simply replace the normal…

OpsjonerAksjerStatistikkPrising av derivater
Quant Q&A

The document questions a boundary condition for a travel-time option whose state includes a mean-reverting process with additive Brownian noise and its time integral. In the familiar geometric Brownian motion example, zero is absorbing: once the underlying…

OpsjonerPrising av derivaterStatistikk
Quant Q&A

The document discusses using Empirical Mode Decomposition (EMD) of EUR/USD prices as input to a machine learning model. It addresses a discrepancy between promising test-period results and poor predictions on the latest observation. The proposed explanation…

ValutahandelMaskinlæringHistorisk testingStatistikk
Quant Q&A

The document explains why a geometric Brownian motion simulation can appear to rise consistently when its drift is strongly positive. Applying Itô’s lemma to the GBM model shows that the log return over a fixed horizon is normally distributed, so the price…

StatistikkAksjerHistorisk testing
Quant Q&A

The document explains how to compare spreads on fixed-coupon bonds and loans or floating-rate notes. Its answer says that the fixed bond’s additional interest-rate exposure need not justify a separate spread adjustment, since that exposure can be hedged at…

RentepapirerPrising av derivaterRisikostyring
Quant Q&A

The document raises a practical problem in estimating covariance for portfolio construction when asset price histories have different gaps. Missing observations arise from holidays, isolated data omissions, and longer stretches without quotes, leaving…

StatistikkPorteføljekonstruksjonRisikostyring
Quant Q&A

The document presents two parametric ways to describe equity implied volatility across strikes and maturities. One uses ATM forward volatility plus linear skew and quadratic curvature on a log-moneyness scale normalized by volatility and the square root of…

AksjerOpsjonerVolatilitetPrising av derivater
Quant Q&A

The document discusses using the PerformanceAnalytics Return.portfolio function to apply a time series of portfolio weights to daily asset returns. The author observes that specifying different rebalance_on frequencies appears to produce identical portfolio…

PorteføljekonstruksjonHistorisk testingAksjer
Quant Q&A

The document clarifies why repo and reverse repo can refer to opposite sides of the same collateralized transaction. A party that delivers a bond and receives cash is commonly said to repo out the bond; economically, that party is borrowing cash against the…

RentepapirerRisikostyring
Quant Q&A

The document considers how to select and prepare market and macroeconomic time series for a portfolio return regression. The portfolio example is denominated in Swiss francs and includes global equities, fixed income, gold, commodities, currency pairs, and…

PorteføljekonstruksjonRisikostyringStatistikkFaktorinvestering
Quant Q&A

The document addresses whether a martingale-corrected Andersen discretization for the Heston model needs adjustment when the model has a nonzero constant interest rate. The answer endorses adding the risk-free accrual over each time step to the exponent…

OpsjonerPrising av derivaterHistorisk testing
Quant Q&A

The document shows how to solve a stochastic differential equation whose process has zero drift and a time-varying adapted volatility coefficient. It applies Itô's lemma to the logarithm of the process, turning the multiplicative equation into an additive…

StatistikkVolatilitet
Quant Q&A

The document explains why a foreign exchange forward is not generally the conditional expectation of the future spot rate under the domestic risk-neutral measure when interest rates are stochastic. The forward price instead comes from discounting the payoff…

ValutahandelRentepapirerPrising av derivaterArbitrasje
Quant Q&A

The document asks whether vanilla options on two assets, together with the assets themselves, can create insurance that costs money when correlation is high and pays when correlation falls. The motivation is to hedge a strategy that benefits from the assets…

OpsjonerPrising av derivaterVolatilitet
Quant Q&A

The document outlines requirements for historical global equity research data: programmatic access, coverage of delisted companies and corporate outcomes, long histories of annual and quarterly fundamentals, daily closing prices, and broad international…

AksjerFaktorinvesteringStatistikk
Quant Q&A

The document frames the rate sensitivity of a pay-fixed, receive-floating interest rate swap as three contributions: discounting floating coupons, discounting fixed coupons, and projecting floating cash flows. It asks how the magnitudes of those components…

RentepapirerPrising av derivaterRisikostyring
Quant Q&A

The document asks how to move from evaluating a machine-learning model on historical test data to producing forecasts from newly received broker data. The author describes training several model types on price and fundamental inputs, currently using a random…

ValutahandelMaskinlæringOrdreutførelsePosisjonsstørrelse
Quant Q&A

The document compares three ideas used to explain why the Black–Scholes–Merton option-pricing formula can hold: profitable trading opportunities, market efficiency, and market equilibrium. It asks why equilibrium might be considered the most important of…

Prising av derivaterOpsjonerArbitrasje
Quant Q&A

The document asks for methods to manage asset allocation across discrete transition states, with attention to liquidity, trading costs, and delayed cause-and-effect relationships. It contrasts moving from cash directly into an asset with transitions between…

PorteføljekonstruksjonFlere aktivaklasserRisikostyringOrdreutførelse
Quant Q&A

The document raises the problem of checking whether prices produced by models such as Black–Scholes or Heston are accurate. It distinguishes a priori validation, which includes choosing a model and fitting it to market data, from a posteriori validation…

Prising av derivaterOpsjonerRisikostyring
Quant Q&A

The document discusses how to choose the spot-price bump when approximating call-option Greeks numerically and comparing them with Black–Scholes analytical values. It favors central differences, which reprice at spots on both sides of the current level, over…

OpsjonerPrising av derivaterStatistikk