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Kennisbibliotheek

Samenvattingen en belangrijkste inzichten van boeken, papers, artikelen en code die onze AI-agents lezen, geschreven door de onderzoeksagent van Stratmill. Elke pagina verwijst naar het origineel.

Quant Q&A
20,364 documenten
SuperMind
12,226 documenten
OKX Learn
8,431 documenten
Strategy library
7,910 documenten
MQL5 code base
7,090 documenten
BigQuant
3,481 documenten
Bitget Academy
3,298 documenten
MQL5 articles
3,012 documenten
TradingView scripts
1,976 documenten
ProRealCode
1,507 documenten
Deribit Insights
1,232 documenten
Machine Learning for Trading
1,124 documenten
arXiv papers
1,033 documenten
Amberdata research
766 documenten
FMZ forum
682 documenten
FMZ digest
662 documenten
vn.py community
560 documenten
QuantInsti blog
511 documenten
Galaxy Research
340 documenten
QuantStart
246 documenten
Stratmill research code
219 documenten
Robot Wealth
195 documenten
NautilusTrader
191 documenten
Hummingbot docs
181 documenten
Paradigm research
175 documenten
Lumibot
164 documenten
Kraken Learn
163 documenten
Bibliotheek quantcursussen
157 documenten
OctoBot
152 documenten
Cryptohopper blog
144 documenten
Systematic trading blog (Rob Carver)
132 documenten
Qlib
116 documenten
TqSdk
86 documenten
Quantpedia
86 documenten
Hyperliquid docs
79 documenten
Freqtrade
68 documenten
Hudson & Thames
62 documenten
Awesome Systematic Trading
61 documenten
backtrader
54 documenten
vn.py
50 documenten
Binance API docs
45 documenten
Quantopian-colleges
45 documenten
FMZ guides
38 documenten
pysystemtrade
34 documenten
Freqtrade docs
32 documenten
quant-trading
31 documenten
FinRL
28 documenten
Zipline
22 documenten
FMZ live strategies
21 documenten
Jesse
17 documenten
pyfolio
16 documenten
Alphalens
14 documenten
WonderTrader
14 documenten
backtesting.py
11 documenten
Technical Analysis
9 documenten
QTPyLib
8 documenten
QuantRocket
7 documenten
Lumibot strategies
7 documenten
Awesome Quant
1 documenten

Doorzoek de bibliotheek

20,364 documenten

Quant Q&A

The document distinguishes two portfolio problems: choosing investments and sizing a group of trading strategies. For multiple strategies believed to be profitable and reasonably uncorrelated, one answer suggests allocating capital in inverse proportion to…

PortefeuilleconstructiePositiegrootteRisicobeheer
Quant Q&A

The document gives formulas for calculating a daily pivot point and the first three support and resistance levels from the prior period's high, low, and close. It shows these levels alongside price bars and existing MACD and moving-average signals, then asks…

Technische indicatorenBacktestenAandelen
Quant Q&A

The document examines whether a volatility surface for an inverse FX quote can be obtained by reversing call and put conventions around the at-the-money level. Its central explanation is that option delta depends on the currency used to measure the hedge. A…

ValutahandelOptiesVolatiliteitPrijsbepaling van derivaten
Quant Q&A

The document explains how portfolio theory can be adapted when holdings and weights change over time. It describes dynamic optimization as repeatedly estimating allocations at scheduled rebalancing dates, using data available up to each date, rather than…

Multi-assetPortefeuilleconstructieVolatiliteit
Quant Q&A

The document derives the expected stock growth factor over one time interval, restricted to cases where that factor falls below a threshold. Under geometric Brownian motion, the growth factor is lognormally distributed, so its truncated expectation can be…

StatistiekPrijsbepaling van derivatenAandelen
Quant Q&A

The document asks why volatility forecasts from an ARMA(1,1)-GARCH(1,1) model decline slightly over a multi-step forecast horizon. The displayed output shows the standard deviation estimates decreasing across successive forecast steps, while the questioner…

VolatiliteitStatistiek
Quant Q&A

The document considers a GARCH(1,1) model fitted to the spread between two correlated assets. Although the reported coefficient estimates appear unremarkable, the standardized residuals show a bimodal distribution, prompting the question of whether such a…

StatistiekVolatiliteitPairstrading
Quant Q&A

The note explains that a small negative Z-spread can occur for an investment-grade corporate bond. In the example, the observed spread is measured against LIBOR, which may sit above Treasury yields because it includes some bank credit risk. A highly rated…

Vastrentende waardenPrijsbepaling van derivatenRisicobeheer
Quant Q&A

The example considers a riskless asset and one risky asset whose dynamics are driven by two Brownian motions, while the information available to traders is generated by both. Although the asset equation can be rewritten using their scaled sum, that sum alone…

StatistiekPrijsbepaling van derivaten
Quant Q&A

The note explains repo as a funding source for a long bond and reverse repo as a way to borrow a security for a short. It addresses why financing is tied to the bond being held: repo lenders apply security-specific haircuts, so the cash raised against a bond…

Vastrentende waardenCarryRisicobeheer
Quant Q&A

The document presents a closed-form expression for a zero-coupon bond price under an extended Hull-White short-rate model with time-varying drift, mean-reversion, and volatility parameters. The bond price is exponential-affine in the current short rate: one…

Vastrentende waardenPrijsbepaling van derivatenStatistiek
Quant Q&A

The document explains the distinction between Markit’s assumed and real recovery rates for credit default swaps. The assumed rate supports quote conversions between running spread and upfront payment, while the real rate represents the recovery used in…

Vastrentende waardenPrijsbepaling van derivaten
Quant Q&A

The document discusses maximum-likelihood estimation for a linear Gaussian two-factor state-space model of commodity prices, using the Schwartz-Smith framework. The observed log price is modeled as the sum of two latent state components plus measurement…

GrondstoffenStatistiekMachine learning
Quant Q&A

The document considers how to measure the fit of a portfolio or linear combination of assets intended to reproduce another asset’s returns. It notes a weakness of relative error: dividing by the target return becomes unstable when that return is near zero.…

StatistiekPortefeuilleconstructieBacktesten
Quant Q&A

The document discusses using the difference between five-year and two-year Treasury Inflation-Protected Securities yields as an indicator of inflation expectations. The answer’s proposed intuition is that longer-term yields may rise more than shorter-term…

Vastrentende waardenStatistiekAmerikaanse markten
Quant Q&A

The document explains how a pension fund can use interest rate swaps within liability-driven investing to reduce the gap between asset and liability duration. Its example assumes a long-dated liability valued using a government bond yield, with only part of…

Vastrentende waardenPrijsbepaling van derivatenRisicobeheerPortefeuilleconstructie
Quant Q&A

The document asks how to approximate a down-and-out call price when the underlying follows the Heston stochastic-volatility model. It states the option payoff with a barrier condition, contrasts the problem with a Black–Scholes closed-form expression, and…

OptiesPrijsbepaling van derivatenVolatiliteitStatistiek
Quant Q&A

The document explains why balance sheet and income statement items do not always appear in the same categories across companies. It uses Goldman Sachs to illustrate that financial firms may present liabilities by type and maturity without a single…

StatistiekAandelenVastrentende waarden
Quant Q&A

The document asks how to examine whether changes in the PCE index help explain daily stock return changes over time. The proposed approach is rolling Granger causality: repeatedly apply a two-variable Granger causality test to a moving window of…

StatistiekAandelen
Quant Q&A

The document asks how to choose the lag length when applying the Johansen cointegration test to two time series. It notes that test conclusions can vary with the lag specification: some choices may lead to rejection of the null hypothesis while others do…

StatistiekPairstrading
Quant Q&A

The document raises a distinction among probability measures used in quantitative finance. It describes risk-neutral probability as the framework used to price derivatives under no-arbitrage conditions, while identifying physical probability as the relevant…

Prijsbepaling van derivatenRisicobeheerStatistiek
Quant Q&A

The discussion considers what an interface for monitoring an algorithmic portfolio should show. Its central design principle is to choose metrics and visualizations according to the strategy and the decisions the dashboard must support, rather than building…

RisicobeheerPairstradingOrderuitvoeringPortefeuilleconstructie
Quant Q&A

The document discusses using importance sampling to estimate prices for far out-of-the-money barrier options under local volatility. It describes changing the distribution of simulated inputs from the original density to a shifted normal density, then…

OptiesVolatiliteitPrijsbepaling van derivatenStatistiek
Quant Q&A

The document poses a statistical question about annualized Sharpe ratios. It starts from the convention of multiplying a daily Sharpe ratio by the square root of the number of trading days in a year, under certain assumptions, and asks whether that scaling…

StatistiekRisicobeheerBacktesten