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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
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 discusses an options-text exercise comparing two quarterly interest-rate payoffs: a spread involving a five-year swap rate and compounded SOFR, and a spread between compounded SOFR and a Treasury bill rate. It reports that the solution manual…

RentepapirerPrising av derivaterRisikostyring
Quant Q&A

The document asks how to annualize a Sharpe ratio for an intraday strategy evaluated with prices sampled every ten seconds. The trader describes computing each interval return, summing those returns to form a daily result, and then applying the usual…

HøyfrekvenshandelStatistikkHistorisk testing
Quant Q&A

The document raises a question about why the COS method presents a characteristic-function relation specifically for Lévy processes. It notes that if a log price is represented as an initial log-moneyness plus a random log-price change, the characteristic…

OpsjonerPrising av derivaterStatistikk
Quant Q&A

The document explains why rolling multi-day returns are statistically dependent and how that dependence affects covariance. It expands the covariance of two overlapping two-day return series into same-day covariance terms and cross-time covariance terms.…

StatistikkHistorisk testing
Quant Q&A

The document describes a study design for sorting S&P 600 stocks into three portfolios according to historical return volatility. The proposed process estimates each stock’s volatility over a formation year, assigns stocks to terciles at the year end, and…

AksjerVolatilitetPorteføljekonstruksjonHistorisk testing
Quant Q&A

The document asks how to generate many asset return histories that match summary statistics from capital market assumptions, including expected returns, quartiles, volatilities, and incomplete correlation information. One response suggests initially setting…

StatistikkPorteføljekonstruksjonHistorisk testingRisikostyring
Quant Q&A

The document discusses how to construct USD yield curves from publicly available data for valuing interest rate swaps and FX forwards. It distinguishes a discount curve from a LIBOR projection curve: the response recommends bootstrapping an OIS curve for…

RentepapirerPrising av derivaterValutahandelAmerikanske markeder
Quant Q&A

The document asks how to adapt the differential Sharpe ratio reward used in a trading reinforcement learning system so that it instead reflects the Sortino ratio. The proposed motivation is that the traded assets are volatile and positively skewed, making…

MaskinlæringRisikostyringStatistikk
Quant Q&A

This note distinguishes a local trading hedge from protection against large portfolio losses. For a position in one asset hedged with another, a correlation-based hedge weight can help manage small, day-to-day changes in portfolio value. A tail-focused hedge…

RisikostyringStatistikkPorteføljekonstruksjonAksjer
Quant Q&A

This note examines an apparent arbitrage in put-call parity when a stock follows a zero-drift Black-Scholes process, with no interest or dividends. For a strike equal to the current stock price, parity makes the call and put prices equal. The apparent puzzle…

OpsjonerPrising av derivaterVolatilitetStatistikk
Quant Q&A

The document outlines an Euler–Maruyama simulation for log asset prices under a local volatility model, using volatility that varies with time and the asset level. It asks which drift to use for option valuation versus estimating the real-world chance of an…

OpsjonerPrising av derivaterVolatilitetStatistikk
Quant Q&A

The document explains why Fama–French style time-series regressions use returns on factor portfolios, such as SMB and HML, rather than a stock’s size or book-to-market characteristics directly. Factor portfolio returns represent the payoffs associated with…

FaktorinvesteringAksjerStatistikk
Quant Q&A

The document asks how the persistence coefficient in an AR(1) model for consumption growth affects the process. It identifies a zero coefficient as the case where growth has no dependence on its previous value; if the innovations are independent and…

Statistikk
Quant Q&A

The document asks whether the average strike and, where relevant, average implied volatility of a set of calls can be entered into one Black-Scholes calculation to approximate the portfolio’s average delta. The scenarios hold the underlying, expiry, rates,…

OpsjonerPrising av derivaterRisikostyring
Quant Q&A

The document compares two ways to infer expected Federal Reserve rate changes across upcoming meetings: differences between successive overnight index swap rates, and implied average rates from fed funds futures. It gives a dated example using swap quotes…

RentepapirerFuturesAmerikanske markeder
Quant Q&A

The document presents an unfinished R simulation of traders whose buy, sell, or neutral decisions are updated using sampled decisions from other traders. Initial actions are assigned probabilistically, each trader observes a subset of peers, and the…

MarkedsmikrostrukturStatistikk
Quant Q&A

The document describes a user’s attempt to create a risk-return scatter plot from quarterly portfolio returns that include missing values. Replacing missing entries with zero does not resolve the problem: the assignment expression passed to the plotting…

StatistikkPorteføljekonstruksjon
Quant Q&A

The document derives lower and upper bounds for a European call using payoff dominance. A call payoff cannot exceed the underlying asset’s payoff, so its price is at most the asset price. It also dominates both zero and the payoff from holding the asset…

OpsjonerPrising av derivaterVolatilitetStatistikk
Quant Q&A

The document studies the stochastic integral of an exponential deterministic function against a Wiener process over a finite time interval. It identifies the integral as a Wiener integral, which is normally distributed with mean zero. Its variance follows…

Statistikk
Quant Q&A

The document considers an Australian government bond issued in US dollars and asks which interest rate curve should measure its rate risk. The answers distinguish the bond's currency exposure from the issuer's country: because the payments are denominated in…

RentepapirerRisikostyring
Quant Q&A

The discussion explains why a cash-or-nothing digital call cannot generally be replicated exactly using ordinary calls and puts at strikes spaced five dollars apart. In theory, a digital payoff can be approached by a call spread whose strike gap shrinks…

OpsjonerPrising av derivaterRisikostyring
Quant Q&A

The document compares monthly and daily regressions of a portfolio described as 70% India and 30% USA against SMB, HML, WML, and a market excess return. It reports different coefficient estimates and significance levels across frequencies: the monthly…

FaktorinvesteringStatistikkAksjer
Quant Q&A

The document asks how the Hayashi–Yoshida estimator for asynchronously sampled asset returns relates to realized variance and Pearson correlation. It describes realized variance as the sum of squared returns and the Hayashi–Yoshida covariance estimator as a…

StatistikkAksjerVolatilitet