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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
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 document explains how to simulate terminal prices for several assets whose returns are correlated, in order to value a multi-asset option by Monte Carlo. In a geometric Brownian motion model, dependence is specified through correlations among Brownian…

Flere aktivaklasserOpsjonerStatistikkPrising av derivater
Quant Q&A

The document describes a backward path-integral scheme for pricing an American put on a log-price grid. At each time step, it discounts and integrates the next-step option value against a Gaussian propagator for log prices, then applies the early-exercise…

OpsjonerPrising av derivaterHistorisk testingStatistikk
Quant Q&A

The document derives an alternate form for the time integral of Brownian motion, a step that arises in the short-rate Merton model. Representing Brownian motion at each time as the accumulation of its increments turns the time integral into an integral over…

RentepapirerStatistikk
Quant Q&A

The document frames a model-selection problem for reinforcement-learning-based dynamic hedging of long-dated swaptions. The proposed application uses 2y2y and 4y2y swaptions, requiring simulated paths that update both a forward swap curve and an implied…

RentepapirerOpsjonerVolatilitetMaskinlæring
Quant Q&A

The document shows how to rewrite a European put’s discounted expected payoff as an integral of the underlying asset’s cumulative distribution function. Starting from the payoff integral over nonnegative asset prices, it extends the density’s support to the…

OpsjonerPrising av derivaterStatistikk
Quant Q&A

The document frames a research question about abrupt changes in index option prices near major expiration dates. It proposes systematic rebalancing by structured products as a possible source of price pressure and asks what other forces might contribute. The…

OpsjonerMarkedsmikrostrukturHendelsesdrevet handelPrising av derivater
Quant Q&A

The document explains why a European put’s Black–Scholes–Merton value can fall below its immediate exercise payoff. A European option cannot be exercised before expiration, so when the underlying price is far below the strike, the eventual payoff is…

OpsjonerPrising av derivaterRisikostyring
Quant Q&A

The document outlines a property-based method for estimating a REIT’s equity value per share. First calculate net operating income from revenue and expenses before depreciation and interest. Divide that NOI by an assumed capitalization rate to estimate the…

AksjerAmerikanske markederStatistikk
Quant Q&A

The document considers a weather-linked call whose daily payout depends on maximum temperature mapping to a quantity and a price index average exceeding a strike. The payoff also has daily and contract-wide payout limits, making a direct closed-form…

OpsjonerRåvarerPrising av derivaterRisikostyring
Quant Q&A

The document outlines a derivation of the Black–Scholes equation from the Capital Asset Pricing Model rather than from a risk-free portfolio formed by delta hedging. It starts from CAPM’s relation between expected return and covariance-based risk…

OpsjonerPrising av derivaterStatistikk
Quant Q&A

The document discusses how to interpret a LIBOR Market Model matrix when constructing discount bond values. It emphasizes that matrix layout must be understood first: under a common convention, columns represent observation times and diagonal entries…

RentepapirerPrising av derivaterStatistikk
Quant Q&A

The document examines an option whose payoff and premium are expressed in the underlying asset, using an ETH example to compare conversion from a conventional Black–Scholes value with a direct simulation. The key issue is the payoff definition: converting…

OpsjonerKryptoPrising av derivaterStatistikk
Quant Q&A

The discussion asks whether a spread move reported for a bond segment can estimate the price change of a bond trading far below par when no bond-specific price history is available. It distinguishes ordinary discounted bonds from distressed debt and explains…

RentepapirerRisikostyringPrising av derivater
Quant Q&A

The document asks how to interpret common sell-side analyst ratings on a five-point scale in quantitative terms. It uses a score associated with market-average performance as an example and asks whether ratings above that level correspond to defined ranges…

AksjerFaktorinvesteringStatistikk
Quant Q&A

The document raises an econometric modeling question involving a GARCH(1,1) volatility equation and a fourth equation in a simultaneous system. A variable from the fourth equation enters the GARCH specification as an exogenous regressor, while the…

StatistikkVolatilitetMaskinlæring
Quant Q&A

The document sets out a continuous-time optimal execution model for selling a fixed stock position over a chosen horizon. It assumes an arithmetic Brownian unaffected price and a linear temporary impact cost proportional to trading rate. Under these…

AksjerOrdreutførelseRisikostyring
Quant Q&A

The document examines why the differential of a log price is not the same as the proportional price change for an Itô process, even though their squared differentials agree in quadratic-variation calculations. It applies Itô’s lemma to a price with drift and…

StatistikkVolatilitet
Quant Q&A

The document outlines possible approaches to hedging municipal bond portfolios with BMA or SIFMA-indexed swaps. For portfolios made mainly of senior variable-rate demand obligations or similar floaters, it suggests comparing the historical root-mean-square…

Rentepapirer
Quant Q&A

The document collects suggestions for obtaining historical index membership and constituent prices at monthly intervals. It points to professional data terminals and services, including Bloomberg, where index members can be queried with a date override and…

AksjerAmerikanske markederHistorisk testing
Quant Q&A

The document describes why a digital option’s stock hedge changes sharply as the underlying approaches and passes its strike. A digital option pays a fixed amount when it finishes in the money and nothing otherwise, so its payoff does not rise gradually with…

OpsjonerPrising av derivaterRisikostyring
Quant Q&A

The document explains how to estimate coefficients in a regression whose intercept and slope depend on a binary state indicator. The proposed method splits observations according to the indicator’s lagged value and fits the same regression separately to each…

StatistikkMomentum
Quant Q&A

The document considers how to build a fundamental scoring model for a defined stock universe using metrics for size, growth, valuation, quality, and risk. It describes the practical challenge of collecting current, historical, and estimated Bloomberg fields,…

AksjerFaktorinvesteringPorteføljekonstruksjonMaskinlæring
Quant Q&A

Energy retailers that promise customers fixed prices while buying power or gas at floating wholesale prices face a mismatch between sales revenue and procurement cost. The risk can grow when demand and prices move together, as during cold weather. The…

RåvarerRisikostyringVolatilitetPrising av derivater
Quant Q&A

The document outlines ways to begin building a machine learning credit scoring model for a thesis, focusing on public datasets, example competitions, and learning materials. It points to credit default prediction tasks as sources of data and published…

MaskinlæringStatistikkAmerikanske markeder