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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
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 document examines a chart of equity index implied skew and spot–volatility beta across option maturities. It describes implied skew as related to how implied volatility changes as the forward or spot level moves, while emphasizing that the relationship…

OpsjonerVolatilitetPrising av derivaterStatistikk
Quant Q&A

The document offers a concise way to extend a principal component analysis hedge-ratio method from two instruments to a basket with multiple legs. It proposes building the covariance matrix for the instruments, finding its eigenvectors, and selecting an…

StatistikkParhandelPorteføljekonstruksjon
Quant Q&A

The document explores how financial variables can be dependent without having linear correlation. It begins with the mathematical example of a normally distributed variable and its square, then considers financial analogies where the relationship can be…

StatistikkVolatilitetOpsjoner
Quant Q&A

The document examines how to interpret Value at Risk for equal long and short holdings in the same stock. It calculates separate position risks using the stated share count, price, daily volatility, and confidence multiplier, then asks how to combine them…

RisikostyringStatistikkAksjer
Quant Q&A

The document examines a formula attributed to a paper on learning-based derivative pricing. The question is how to interpret a 60-day range of daily returns when estimating volatility for Black–Scholes: if the sample standard deviation is already daily…

VolatilitetStatistikkPrising av derivater
Quant Q&A

The document asks whether markets show a weekly activity pattern analogous to the intraday pattern in which trading is concentrated near the open and close. In particular, it considers whether Monday and Friday trading is heavier than activity midweek,…

MarkedsmikrostrukturStatistikkAksjer
Quant Q&A

The document compares a utility-based risk premium with the price of insurance. It defines the risk premium as the certain reduction in wealth that makes an investor indifferent to facing a zero-mean risk, and gives a small-risk approximation tied to the…

RisikostyringStatistikk
Quant Q&A

The document describes a cross-exchange futures pairs strategy involving products whose prices are expected to remain close. The trader enters one leg with a limit order and the other with a market order, aiming for price neutrality. The strategy’s signal is…

FuturesParhandelTilbakevending mot gjennomsnittetMarket making
Quant Q&A

The document introduces Black–Scholes as a model for calculating a theoretical option price and asks how to interpret its d1 and d2 terms. The response says the model gives an appropriate price only if its assumptions hold. It does not explain d1 or d2…

OpsjonerPrising av derivaterRisikostyring
Quant Q&A

The document describes a method for estimating an ETF’s implied funding or borrowing spread from option prices. It first adjusts American option prices toward European equivalents using the American–European price difference from a fitted volatility model.…

OpsjonerPrising av derivaterStatistikkMarkedsmikrostruktur
Quant Q&A

The document asks how to obtain daily SMB and HML data for real-time use in a Fama-French model. It points to the Ken French data library as a source for daily market, size, and value factor series, while noting that the library is updated with a delay of…

FaktorinvesteringAksjerStatistikk
Quant Q&A

The document discusses fund-level risk measures for long-short equity portfolios, including volatility, risk-adjusted returns, drawdown, and long and short exposures. The answer adds market beta or correlation to an appropriate equity index and exposure to…

AksjerRisikostyringPorteføljekonstruksjonFaktorinvestering
Quant Q&A

The document asks how to value commodity futures options when an investor has a specific view about the future return distribution: a substantial oil price spike is considered possible over a stated horizon, with the move expected to be brief. The goal is to…

RåvarerOpsjonerFuturesVolatilitet
Quant Q&A

The document presents a proposed explicit finite-difference method for a nonlinear Hamilton–Jacobi–Bellman equation with a terminal condition. The value function depends on time, a variance-like state, and a Vega state. The proposed grid uses a backward time…

StatistikkPrising av derivaterHistorisk testing
Quant Q&A

The document proves that the process formed by subtracting a time-dependent linear term from the cube of Brownian motion has the conditional-expectation property of a martingale. It expands the later Brownian value around the value at the conditioning time,…

Statistikk
Quant Q&A

The document derives the optimal portfolio for a mean-variance objective with a full-investment constraint. It sets the first-order conditions, represents them as a block linear system, and applies block-matrix inversion to eliminate the Lagrange multiplier.…

PorteføljekonstruksjonStatistikkRisikostyring
Quant Q&A

The document describes an attempt to forecast a differenced FTSE 100 series with an ARMA mean model and GARCH disturbances using the rugarch package. The author encounters missing volatility forecasts when requesting rolling forecasts and a plotting error…

AksjerVolatilitetMaskinlæringHistorisk testing
Quant Q&A

The note asks how to determine the time-dependent drift parameter in the one-factor Hull–White short-rate model when pricing zero-coupon bonds. It states the short-rate process as a mean-reverting rate with a time-varying drift and constant volatility, then…

RentepapirerPrising av derivaterVolatilitet
Quant Q&A

The note considers a derivative paying an exponential function of a stock’s terminal price and asks whether a static portfolio of stock and a zero-coupon bond can guarantee at least that payoff. Such a portfolio has a payoff linear in the terminal stock…

Prising av derivaterPorteføljekonstruksjonRisikostyring
Quant Q&A

The note explains how to interpret the units of DTS, defined as spread duration multiplied by the current credit spread. It starts from the approximate price change relation using spread duration and an absolute spread move, then rewrites the change in terms…

RentepapirerRisikostyringStatistikk
Quant Q&A

The document asks whether a weighted mixture of two local-volatility models can provide an implied density for path-dependent options, including barrier and touch products. It presents the mixture as a weighted average of the component models’ vanilla option…

OpsjonerPrising av derivaterVolatilitet
Quant Q&A

This note explains how to interpret the mean-reversion parameter in the Vasicek and Cox–Ingersoll–Ross short-rate models. The parameter is not itself the instantaneous rate of change: the expected drift also depends on the gap between the current short rate…

RentepapirerTilbakevending mot gjennomsnittetStatistikk
Quant Q&A

The document explains how to take a short position in a synthetic instrument that can have a negative price, using spreads as examples. It lists calendar spreads, butterflies, and double butterflies, then gives a January–February calendar spread: the long…

FuturesPrising av derivaterOrdreutførelse
Quant Q&A

The document considers how to estimate risk and correlation when one asset has far less price history than the rest of a portfolio. It outlines two approaches: exclude assets with histories too short for reliable estimation, or estimate their covariances…

PorteføljekonstruksjonStatistikkRisikostyring