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
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
Lumibot strategies
7 dokumenter
QuantRocket
7 dokumenter
Awesome Quant
1 dokumenter

Søk i biblioteket

20,364 dokumenter

Quant Q&A

The answer identifies a gas-fired power plant’s spark spread—the relationship between electricity revenue and the gas cost required to generate it—as a central exposure. It describes over-the-counter spread options as a way for a plant operator to hedge this…

RåvarerFuturesOpsjonerRisikostyring
Quant Q&A

The accepted answer explains how to minimize conditional value-at-risk, also called expected tail loss, using a scenario-based linear program. It introduces portfolio weights, a variable representing the value-at-risk threshold, and one auxiliary variable…

PorteføljekonstruksjonRisikostyringStatistikkHistorisk testing
Quant Q&A

The document describes a simulation designed to compare covariance transformations for minimum-variance portfolio construction. For each lookback window, the author samples portfolios of 100 assets, estimates a sample covariance matrix, transforms it, and…

PorteføljekonstruksjonStatistikkRisikostyringHistorisk testing
Quant Q&A

The document proposes a quadratic program for finding an efficient frontier between expected alpha and a portfolio’s residual variance relative to a benchmark. It expresses residual variance as portfolio covariance risk less the benchmark variance scaled by…

PorteføljekonstruksjonStatistikkRisikostyring
Quant Q&A

The document frames an out-of-sample estimation question for a cointegration pairs strategy. In sample, the proposed workflow applies the Engle–Granger two-step procedure, estimates a hedge coefficient for the spread, and standardizes that spread using its…

ParhandelTilbakevending mot gjennomsnittetStatistikkHistorisk testing
Quant Q&A

The discussion collects several ways to transform stock prices for analysis. Suggested measures include log prices, price deviations from a mean, standardized deviations using a standard deviation, log-price deviations from a mean, log returns, percentage…

AksjerStatistikkParhandelHistorisk testing
Quant Q&A

This exchange clarifies how QuantLib constructs a monthly schedule when end-of-month handling is enabled. The example starts and matures on month ends, uses forward date generation, and marks a date near the end of March as a holiday. Although the schedule…

Rentepapirer
Quant Q&A

The discussion explains reflexivity as a feedback loop: traders form expectations from information and prices, act on those expectations, and thereby change prices and later beliefs. It points to Keynesian beauty contests, game theory, agent-based models,…

MarkedsmikrostrukturStatistikkOrdreutførelseMarkedssentiment
Quant Q&A

The document compares two CAPM regression forms: one uses the asset's return in excess of the risk-free rate, while the other regresses the raw asset return on the market's excess return. It explains that, when the same observations and regressors are used,…

AksjerStatistikkFaktorinvestering
Quant Q&A

The document asks how to construct an efficient frontier by optimizing portfolio weights at specified volatility levels, rather than relying on random sampling. It describes maximizing expected portfolio return subject to a volatility ceiling and nonnegative…

AksjerPorteføljekonstruksjonStatistikk
Quant Q&A

The document describes implied volatility as a way to represent option prices on a more interpretable and comparable scale. A pricing model maps a market option price to the volatility input that would reproduce that price, allowing traders to discuss an…

OpsjonerVolatilitetPrising av derivater
Quant Q&A

The document explains why equal percentage losses and gains do not cancel when returns compound. After a loss, the same percentage gain applies to a smaller capital base, so the account remains below its starting value. It gives a formula for the number of…

StatistikkRisikostyringPosisjonsstørrelse
Quant Q&A

The document asks how to interpret the Spearman correlation used in the Fundamental Review of the Trading Book to compare hypothetical P&L (HPL) with risk-theoretical P&L (RTPL). The stated procedure ranks each series in ascending order, then applies the…

StatistikkRisikostyring
Quant Q&A

The problem describes a seller who observes a sequence of prices for different future delivery days and must choose when to commit to selling. Prices for each fixed delivery date are assumed to follow a martingale. The proposed approach begins with a Bellman…

FuturesStatistikkOrdreutførelse
Quant Q&A

The document asks whether trading strategies can remove volatility clustering—the persistence of large or small absolute returns—and what that would imply for diversification and alpha. It contrasts the CAPM view of market exposure with anecdotal claims that…

VolatilitetStatistikkRisikostyringFlere aktivaklasser
Quant Q&A

The discussion explains why currency spreads can widen sharply around 22:00 GMT, corresponding to 17:00 in New York. Forex trading is decentralized, and liquidity can fall when major financial centers hand activity over or close for the day. Contributors…

ValutahandelMarkedsmikrostrukturOrdreutførelse
Quant Q&A

The discussion considers a daily strategy that holds positions for one day while using an indicator built from a five-year price history. Because adjacent indicator readings share much of the same input data, they are strongly serially dependent. The…

Historisk testingTekniske indikatorerStatistikk
Quant Q&A

The note asks whether traditional factor models become less adequate as markets grow more complex and new return patterns emerge. It cites the Fama-French three-factor model, which captures broad cross-sectional return patterns in the mid-1990s but does not…

FaktorinvesteringAksjerMomentumStatistikk
Quant Q&A

The document asks how to estimate the variance of monthly returns when a return series includes both monthly observations and one quarterly aggregate. The proposed response describes a moment-based approach under temporal independence: infer the quarterly…

StatistikkVolatilitetRisikostyring
Quant Q&A

The document asks why credit rating grades can span different widths of probability of default (PD). Its example mapping assigns relatively narrow PD intervals to stronger grades and wider intervals to weaker grades, and raises the possibility that a PD…

RentepapirerStatistikkRisikostyring
Quant Q&A

The document poses a fixed-income modeling question: whether a bond spread curve can be converted into a credit curve by applying the same bootstrapping function used for a CDS par-spread curve. The setup assumes a standard CDS framework with piecewise…

RentepapirerStatistikk
Quant Q&A

The document considers how to estimate a portfolio variance-covariance matrix when assets began trading at different times. One direct method is to use only the period in which every asset has data, which avoids mismatched histories but discards older…

StatistikkPorteføljekonstruksjonRisikostyring
Quant Q&A

The document explains the distinction between an option’s notional exposure and the price paid for the contract. Using the SPX example, the response applies a contract multiplier of 100 to the index level to calculate notional value, and applies the same…

OpsjonerPrising av derivaterAmerikanske markeder
Quant Q&A

The document asks how to infer a stock’s beta from return expectations and how to attribute its variance to market risk. One response writes returns as a market-linked component plus an idiosyncratic residual. Under the single-index assumptions that the…

AksjerStatistikkFaktorinvestering