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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
WonderTrader
14 documenten
Alphalens
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 note gives a rough way to estimate daily value at risk for a corporate bond position using its CS01, the change in value for a one basis point move in credit spread. It suggests estimating a high-quantile spread move from historical data or a Monte Carlo…

Vastrentende waardenRisicobeheerStatistiek
Quant Q&A

The document explains how a Monte Carlo simulation can align with Black 76 without first converting futures prices into spot prices. It starts from a lognormal spot-price process with drift and volatility, then substitutes the spot-forward relationship so…

GrondstoffenFuturesOptiesPrijsbepaling van derivaten
Quant Q&A

The document explains that a numeraire used for pricing does not always need to be a traded asset. It presents the risk neutral pricing relation under a measure associated with the chosen numeraire, then describes expressing derivative and underlying prices…

Prijsbepaling van derivatenOptiesVastrentende waarden
Quant Q&A

The document asks whether the publication of the Black–Scholes option-pricing paper in 1973 was directly connected to the founding and launch of the Chicago Board Options Exchange that year. The cited historical account says the formula was not developed to…

OptiesPrijsbepaling van derivaten
Quant Q&A

The document explains how to price a claim paying the cosine of a terminal stock price under risk-neutral pricing when the stock follows geometric Brownian motion. It writes the discounted expected payoff as an integral over the risk-neutral lognormal…

Prijsbepaling van derivatenOptiesStatistiek
Quant Q&A

The document considers whether maximum likelihood and ordinary least squares estimates coincide for an autoregressive process, focusing on the role of Gaussian errors. Its answer uses an AR(1) illustration that can be extended conceptually to AR(2). Although…

Statistiek
Quant Q&A

The document explains why the linear-exponential (Linex) loss function converges to squared-error loss as its asymmetry parameter approaches zero. It considers a forecast error and expands the exponential term in the Linex formula as a Maclaurin series. The…

Statistiek
Quant Q&A

The document asks why a portfolio might impose dollar neutrality in addition to beta neutrality. Beta neutrality constrains estimated market exposure, while dollar neutrality balances total long and short weights. The answer illustrates that a beta-neutral…

PortefeuilleconstructieRisicobeheerAandelen
Quant Q&A

The document considers how often and how heavily to trade a favorable card-drawing wager when capital is finite. It distinguishes the decision to accept a positive-expectation trade from sizing repeated bets, and presents expected utility as a way to…

PositiegrootteRisicobeheerStatistiek
Quant Q&A

The document explains the combined payoff of a long up-and-in put and a short up-and-in call with the same strike, maturity, and barrier. If the underlying reaches the barrier before expiry, both options activate and behave like vanilla options. Put-call…

OptiesPrijsbepaling van derivatenVolatiliteit
Quant Q&A

The document asks how to calculate 95% Value at Risk from simulated portfolio losses sorted in ascending order. It proposes taking the 5th percentile and questions whether this selects the correct side, since the resulting figure is below the mean. The…

StatistiekRisicobeheer
Quant Q&A

The document considers the impact of replacing established overnight discount rates with new risk-free rates on uncleared swaptions. It asks whether valuation changes should be compensated, distinguishing temporary changes in a swap’s discounted value from…

OptiesPrijsbepaling van derivatenVastrentende waardenRisicobeheer
Quant Q&A

The document explores how a forward interest rate follows from the prices of zero-coupon bonds with different maturities. It proposes holding a long position in the longer-maturity bond and a short position in a scaled amount of the shorter-maturity bond,…

Vastrentende waardenPrijsbepaling van derivatenArbitrage
Quant Q&A

The document explains replication as matching a derivative’s payoff across every possible model state using positions in the underlying stock and a money market account. In a one-period example, stock and bond holdings are chosen so their combined terminal…

Prijsbepaling van derivatenArbitrageStatistiek
Quant Q&A

The document asks whether financial institutions use GARCH models in risk systems that calculate expected shortfall. It cites a practical primer by an author whose listed affiliations include a bank, as an example of practitioner-oriented discussion. The…

RisicobeheerVolatiliteitStatistiekBacktesten
Quant Q&A

The document considers whether linear hedges, such as delta hedges, can meet most clients' needs without other derivatives. It notes that Black–Scholes theory can use a rebalanced linear hedge to replicate a nonlinear option payoff. For linear exposures, or…

OptiesValutahandelRisicobeheerPrijsbepaling van derivaten
Quant Q&A

The document explains why option traders sometimes treat theta as a proxy for gamma, focusing on a delta-neutral portfolio. It uses the Black–Scholes differential equation to relate portfolio time decay, delta, gamma, interest rates, and the underlying…

OptiesPrijsbepaling van derivatenVolatiliteit
Quant Q&A

The document asks where to obtain price levels for the CRSP value-weighted index that exclude distributions. The author can access WRDS index returns, total market value, and market value of securities used, but reports that returns computed from the latter…

AandelenAmerikaanse marktenStatistiek
Quant Q&A

The document explains Trade-at-Settlement orders in futures markets. A TAS trade sets the transaction price relative to the eventual futures settlement price, with the chosen offset recorded in the TAS order book. The reply characterizes the trade as an…

FuturesOrderuitvoeringMarktmicrostructuurMarketmaking
Quant Q&A

The document considers how to estimate a portfolio’s return distribution for an expected shortfall constraint when only a limited history of asset returns is available. It questions whether a normal approximation based on the central limit theorem is…

PortefeuilleconstructieRisicobeheerStatistiekBacktesten
Quant Q&A

The document addresses how to find long historical series of nonfinancial measurements for testing correlations with a financial analysis or trading algorithm. It suggests looking at unusual public datasets and gives examples of possible sources, including…

BacktestenStatistiekMachine learning
Quant Q&A

The document examines the Black–Scholes risk-neutral drift relation and asks whether its negative volatility adjustment conflicts with the observation that higher interest rates can coincide with falling stock prices. The replies explain that the relation…

OptiesPrijsbepaling van derivatenVolatiliteitAandelen
Quant Q&A

The document asks whether an implied volatility surface can be used to calculate options strategy P&L and variance swap P&L when individual option prices are unavailable. The response says a surface can support these calculations if its construction…

OptiesVolatiliteitPrijsbepaling van derivaten
Quant Q&A

The document describes a Monte Carlo setup for a correlation swap: pairs of normally distributed asset returns are generated with a specified population correlation, and sample correlation is calculated across observation periods for each simulated path. The…

StatistiekPrijsbepaling van derivatenOpties