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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
Quantpedia
86 documenten
TqSdk
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
Quantopian-colleges
45 documenten
Binance API docs
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 discussion examines limits of Sharpe-style returns-based analysis when fund exposures shift, especially for long-short strategies or data at daily and finer frequencies. Suggested alternatives include Lasso to shrink factor coefficients, Bayesian…

FactorbeleggenStatistiekMachine learning
Quant Q&A

The document asks how to infer shorter-maturity annualized spot rates from a sparse set of observed term-structure points. It gives three observations at maturities of three, six, and nine months, then asks for rates at two and four months and whether a…

Vastrentende waardenStatistiek
Quant Q&A

The document clarifies the notation u∧t that appears in a covariance integral while deriving the Vasicek model. It means the minimum of the two arguments: for example, when s is earlier than t, s∧t equals s. This is the same minimum-time structure used in…

Vastrentende waardenStatistiek
Quant Q&A

The document explains how covariance between two currency-rate returns can be inferred when a third rate is related to them through a currency triangle. In log terms, the cross rate is represented as the sum or difference of the two component rates,…

ValutahandelStatistiekPrijsbepaling van derivaten
Quant Q&A

The document explains why a simple unilateral credit valuation adjustment for an option must combine the option’s future value with the counterparty’s probability of default. The suggested discretized calculation averages discounted expected exposure at…

OptiesPrijsbepaling van derivatenRisicobeheerStatistiek
Quant Q&A

The document addresses how to test whether two indicators help explain a time series of returns when the indicators may be autocorrelated or nonstationary and a VAR analysis has not produced significant results. Its proposed starting point is a linear…

StatistiekBacktestenTechnische indicatoren
Quant Q&A

The document responds to a request for credible examples of machine learning in quantitative finance. It emphasizes that machine learning methods are general-purpose tools that can be applied to financial, economic, or other data, while noting that many…

Machine learningRisicobeheerStatistiek
Quant Q&A

The document asks why markets appear to respect Fibonacci retracement levels and connects that question to broader beliefs about market cycles and the possibility of a recession after a long advance. It gives no data, testing method, or examples showing that…

Technische indicatorenMarktmicrostructuurStatistiek
Quant Q&A

The document discusses hedging a known future expense of 2,500 USD when the home currency is euros. Using the stated spot and six-month forward rates, the answer calculates the euro amount fixed by the forward contract: dividing the dollar expense by the…

ValutahandelPrijsbepaling van derivatenRisicobeheer
Quant Q&A

The document compares White’s Reality Check with the Benjamini-Hochberg-Yekutieli procedure for screening a large set of backtested strategies against a benchmark. It describes the Reality Check as accounting for dependence among test statistics through…

BacktestenStatistiekMachine learning
Quant Q&A

The document clarifies how a volatility surface indexed by moneyness can remain consistent with put-call parity. Although the question assumes calls and puts use opposite moneyness ratios, the answer explains that moneyness is generally defined the same way…

OptiesVolatiliteitPrijsbepaling van derivaten
Quant Q&A

The document presents the Gordon growth model for valuing a dividend-paying stock, with growth derived from return on equity and the retention ratio. It asks how to update intrinsic value day by day when the last annual dividend was paid the previous day.…

AandelenStatistiek
Quant Q&A

The document lists a small set of quantitative trading competitions in response to a Singapore-based participant seeking opportunities beyond the International Quant Championship and SMU Alphathon. It mentions a stock-prediction model competition run by XTX…

AandelenValutahandelCryptoMachine learning
Quant Q&A

The document describes diagnosing weak convergence in Monte Carlo simulations of an option-pricing model with state-dependent volatility. The original comparison estimates expectations at two time-step sizes, but uses independent simulated paths. Sampling…

OptiesPrijsbepaling van derivatenStatistiekBacktesten
Quant Q&A

The document asks how to scale returns calculated from hourly bars to create volatility-adjusted features at longer horizons, including several-hour and calendar-period returns. It specifically considers whether a multi-hour return should be divided by…

VolatiliteitTechnische indicatorenStatistiek
Quant Q&A

The document asks how to test whether a proposed predictor forecasts weekly stock market returns when observations are formed from overlapping daily windows. Because adjacent weekly returns share days, their errors may be correlated, so a test designed for a…

AandelenStatistiek
Quant Q&A

The document considers a physically settled crop futures contract when the farmer cannot deliver after a natural disaster destroys the crop. The answer explains that the contract remains in force and that failure to deliver can constitute default,…

FuturesGrondstoffenRisicobeheer
Quant Q&A

The document explains that standard open, high, low, and close bars are constructed from transaction prices. Best bid and ask quotes, quote sizes, and aggregate volume or book-size fields do not provide the actual sequence of trades needed for true OHLC…

MarktmicrostructuurOrderuitvoeringStatistiek
Quant Q&A

The document examines whether compounding normally distributed values can produce leptokurtic outcomes. It models the compounded result as a product of independent, identically distributed normal variables and gives expressions for its mean, variance, and…

StatistiekAandelen
Quant Q&A

This note explains an approximate way to translate the spread on a USD-denominated bond into an equivalent spread over a euro reference rate. It considers a euro issuer that borrows in dollars and uses the SOFR–ESTR cross-currency basis to express the USD…

Vastrentende waardenValutahandelCarry
Quant Q&A

P&L leakage is a small, recurring loss that may be hard to notice in daily results but accumulates into a material drag over time. The note places the concept in hedging and trading, where a reported or expected profit can omit costs and risks that are…

RisicobeheerOrderuitvoeringVolatiliteit
Quant Q&A

This note addresses a Python type error when calculating a bond’s z-spread with QuantLib. The example passes a RelinkableYieldTermStructureHandle into BondFunctions.zSpread, but the available overloads expect a yield-curve object, producing an argument-type…

Vastrentende waardenPrijsbepaling van derivaten
Quant Q&A

The document explains why futures open interest can be an odd number even though every open contract has both a long and a short. Open interest counts contracts, not the two sides separately, so its value does not need to be even. When both parties open…

FuturesMarktmicrostructuur
Quant Q&A

The document addresses how a reader with undergraduate probability and statistics can approach an empirical currency risk paper that uses asset pricing concepts such as stochastic discount factors, linear beta pricing, and efficient portfolios. The response…

ValutahandelStatistiekVastrentende waarden