Naar inhoud gaan

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 explains the Carr–Madan formula as a way to represent a sufficiently smooth payoff as a linear position in the underlying, a cash amount, and integrals of European put and call payoffs across strikes. The decomposition expands the payoff around…

OptiesPrijsbepaling van derivatenVolatiliteitPortefeuilleconstructie
Quant Q&A

The document shows how put–call parity can identify an arbitrage across European options with two different strikes, even when the current stock price is unknown. Applying parity separately at each strike and subtracting the equations removes the stock-price…

OptiesArbitragePrijsbepaling van derivaten
Quant Q&A

The document discusses extracting implied volatility from American option prices using a Cox–Ross–Rubinstein binomial tree. The tree prices the option by working backward from terminal payoffs, comparing continuation value with early exercise value at each…

OptiesVolatiliteitPrijsbepaling van derivatenOrderuitvoering
Quant Q&A

The document explains how to simulate stock paths when periodic log returns are modeled with a Normal Inverse Gaussian (NIG) distribution, with the aim of pricing options by Monte Carlo. It warns that an NIG random variable cannot simply replace the normal…

OptiesAandelenStatistiekPrijsbepaling van derivaten
Quant Q&A

The document questions a boundary condition for a travel-time option whose state includes a mean-reverting process with additive Brownian noise and its time integral. In the familiar geometric Brownian motion example, zero is absorbing: once the underlying…

OptiesPrijsbepaling van derivatenStatistiek
Quant Q&A

The document discusses using Empirical Mode Decomposition (EMD) of EUR/USD prices as input to a machine learning model. It addresses a discrepancy between promising test-period results and poor predictions on the latest observation. The proposed explanation…

ValutahandelMachine learningBacktestenStatistiek
Quant Q&A

The document explains why a geometric Brownian motion simulation can appear to rise consistently when its drift is strongly positive. Applying Itô’s lemma to the GBM model shows that the log return over a fixed horizon is normally distributed, so the price…

StatistiekAandelenBacktesten
Quant Q&A

The document explains how to compare spreads on fixed-coupon bonds and loans or floating-rate notes. Its answer says that the fixed bond’s additional interest-rate exposure need not justify a separate spread adjustment, since that exposure can be hedged at…

Vastrentende waardenPrijsbepaling van derivatenRisicobeheer
Quant Q&A

The document raises a practical problem in estimating covariance for portfolio construction when asset price histories have different gaps. Missing observations arise from holidays, isolated data omissions, and longer stretches without quotes, leaving…

StatistiekPortefeuilleconstructieRisicobeheer
Quant Q&A

The document presents two parametric ways to describe equity implied volatility across strikes and maturities. One uses ATM forward volatility plus linear skew and quadratic curvature on a log-moneyness scale normalized by volatility and the square root of…

AandelenOptiesVolatiliteitPrijsbepaling van derivaten
Quant Q&A

The document discusses using the PerformanceAnalytics Return.portfolio function to apply a time series of portfolio weights to daily asset returns. The author observes that specifying different rebalance_on frequencies appears to produce identical portfolio…

PortefeuilleconstructieBacktestenAandelen
Quant Q&A

The document clarifies why repo and reverse repo can refer to opposite sides of the same collateralized transaction. A party that delivers a bond and receives cash is commonly said to repo out the bond; economically, that party is borrowing cash against the…

Vastrentende waardenRisicobeheer
Quant Q&A

The document considers how to select and prepare market and macroeconomic time series for a portfolio return regression. The portfolio example is denominated in Swiss francs and includes global equities, fixed income, gold, commodities, currency pairs, and…

PortefeuilleconstructieRisicobeheerStatistiekFactorbeleggen
Quant Q&A

The document addresses whether a martingale-corrected Andersen discretization for the Heston model needs adjustment when the model has a nonzero constant interest rate. The answer endorses adding the risk-free accrual over each time step to the exponent…

OptiesPrijsbepaling van derivatenBacktesten
Quant Q&A

The document shows how to solve a stochastic differential equation whose process has zero drift and a time-varying adapted volatility coefficient. It applies Itô's lemma to the logarithm of the process, turning the multiplicative equation into an additive…

StatistiekVolatiliteit
Quant Q&A

The document explains why a foreign exchange forward is not generally the conditional expectation of the future spot rate under the domestic risk-neutral measure when interest rates are stochastic. The forward price instead comes from discounting the payoff…

ValutahandelVastrentende waardenPrijsbepaling van derivatenArbitrage
Quant Q&A

The document asks whether vanilla options on two assets, together with the assets themselves, can create insurance that costs money when correlation is high and pays when correlation falls. The motivation is to hedge a strategy that benefits from the assets…

OptiesPrijsbepaling van derivatenVolatiliteit
Quant Q&A

The document outlines requirements for historical global equity research data: programmatic access, coverage of delisted companies and corporate outcomes, long histories of annual and quarterly fundamentals, daily closing prices, and broad international…

AandelenFactorbeleggenStatistiek
Quant Q&A

The document frames the rate sensitivity of a pay-fixed, receive-floating interest rate swap as three contributions: discounting floating coupons, discounting fixed coupons, and projecting floating cash flows. It asks how the magnitudes of those components…

Vastrentende waardenPrijsbepaling van derivatenRisicobeheer
Quant Q&A

The document asks how to move from evaluating a machine-learning model on historical test data to producing forecasts from newly received broker data. The author describes training several model types on price and fundamental inputs, currently using a random…

ValutahandelMachine learningOrderuitvoeringPositiegrootte
Quant Q&A

The document compares three ideas used to explain why the Black–Scholes–Merton option-pricing formula can hold: profitable trading opportunities, market efficiency, and market equilibrium. It asks why equilibrium might be considered the most important of…

Prijsbepaling van derivatenOptiesArbitrage
Quant Q&A

The document asks for methods to manage asset allocation across discrete transition states, with attention to liquidity, trading costs, and delayed cause-and-effect relationships. It contrasts moving from cash directly into an asset with transitions between…

PortefeuilleconstructieMulti-assetRisicobeheerOrderuitvoering
Quant Q&A

The document raises the problem of checking whether prices produced by models such as Black–Scholes or Heston are accurate. It distinguishes a priori validation, which includes choosing a model and fitting it to market data, from a posteriori validation…

Prijsbepaling van derivatenOptiesRisicobeheer
Quant Q&A

The document discusses how to choose the spot-price bump when approximating call-option Greeks numerically and comparing them with Black–Scholes analytical values. It favors central differences, which reprice at spots on both sides of the current level, over…

OptiesPrijsbepaling van derivatenStatistiek