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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 considers how to project a sparse monthly series over a one-year horizon when only two years of history are available. The measure is described as a person’s skill, but the suggested modeling considerations also apply to short time series more…

StatistiekBacktesten
Quant Q&A

The document raises a theoretical question about whether a positive equity risk premium could arise from a finite investable asset universe, even without investor risk aversion. It contrasts limited diversification in finite markets with a hypothetical…

AandelenPortefeuilleconstructieArbitrageRisicobeheer
Quant Q&A

The document discusses which instruments should be used to build a swaption volatility surface when calibrating to a particular underlying swap. The answer recommends matching the swaption underlying to the swap being calibrated, so that the forward rate…

OptiesVastrentende waardenPrijsbepaling van derivatenVolatiliteit
Quant Q&A

The document addresses how to describe one asset’s volatility in relation to a portfolio that contains several correlated assets. The answer identifies the quantity as the asset’s marginal volatility contribution and expresses it as the asset’s own standard…

PortefeuilleconstructieRisicobeheerStatistiek
Quant Q&A

The document raises practical questions about valuing a put option on a Eurodollar futures contract. It considers how a futures price move affects the option’s payoff, how to calculate breakeven from strike and premium, and how the option’s quoted minimum…

FuturesOptiesRisicobeheer
Quant Q&A

The document gives a closed-form expectation for a call or put payoff when the log of the underlying price follows a normal distribution. A sign indicator selects the option type, while the expression uses the normal cumulative distribution function to…

OptiesPrijsbepaling van derivatenStatistiek
Quant Q&A

The document explains purging in financial machine learning through a prediction task that uses current stock returns to forecast the next day’s market return. The accepted answer illustrates the issue with a label based on a multi-day future return: labels…

Machine learningBacktestenStatistiek
Quant Q&A

The document addresses how to make a long exchange-rate history comparable when a currency has been redenominated more than once. It treats each redenomination as a scale change, similar to adjusting historical prices for a reverse stock split. If official…

ValutahandelStatistiek
Quant Q&A

The document explains why a commonly quoted All Weather allocation may not show equal risk contributions when measured with portfolio software. According to the accepted answer, the weights came from an interview describing an unleveraged sample portfolio…

Multi-assetPortefeuilleconstructieRisicobeheerVastrentende waarden
Quant Q&A

The document asks whether stocks with lower historical return standard deviation tend to earn higher future returns, and whether this finding is broadly established. It distinguishes this measure from idiosyncratic volatility and cites two studies that…

AandelenVastrentende waardenVolatiliteitFactorbeleggen
Quant Q&A

The document considers rolling Shannon entropy of intraday returns and asks how histogram bin size affects comparisons over time. Its answer suggests mutual information when the goal is to measure dependence between variables, with normalization by its…

StatistiekMachine learningVolatiliteit
Quant Q&A

The document distinguishes volatility in an asset’s price from volatility in its measured returns. Volatility, calculated as the standard deviation of observations, is zero when every observation in the chosen data series is identical. Thus, if the…

VolatiliteitStatistiek
Quant Q&A

The document explains why annualizing volatility from simple returns depends on the model and the quantity being estimated. For a lognormal price model, convert each simple return to a log return by taking the logarithm of one plus the return, then estimate…

VolatiliteitStatistiek
Quant Q&A

The document explains why a European option on an arithmetic basket of correlated stocks generally lacks a direct Black–Scholes formula under geometric Brownian motion: the basket is a sum of lognormally distributed prices, which is not itself lognormal. It…

OptiesPrijsbepaling van derivatenMulti-assetStatistiek
Quant Q&A

The document explains why corporate debt can affect both equity value and volatility. In discounted cash flow valuation, interest costs can raise the cost of capital; in a structural view, equity behaves like a call option on company assets, so leverage…

AandelenStatistiekRisicobeheerFactorbeleggen
Quant Q&A

The document asks which swap leg is priced first when structuring a new interest rate swap with zero net present value at inception. It considers two equivalent ways to frame a quote: specify a desired fixed rate and ask what floating payments correspond to…

Vastrentende waardenPrijsbepaling van derivatenRisicobeheer
Quant Q&A

The document discusses how delayed sell-side earnings revisions can distort valuation signals. After a sharp stock decline, stale forecasts may make a company look unusually cheap; after a market crash, stale aggregate estimates may likewise suggest the…

AandelenFactorbeleggenTerugkeer naar het gemiddeldeStatistiek
Quant Q&A

The document raises a pricing issue for an interest rate swap whose floating leg averages rates observed daily during each accrual period. The payment is based on the average of forward rates for short intervals, discounted to the payment date. Since…

Vastrentende waardenPrijsbepaling van derivatenStatistiek
Quant Q&A

The document considers how to hedge an obligation to buy an asset under a forward contract at a future date. Buying a put with a strike equal to the forward purchase price establishes a floor on the value obtainable by selling the asset, but it requires…

OptiesFuturesRisicobeheerPrijsbepaling van derivaten
Quant Q&A

The discussion examines whether delta hedging an option position always reduces risk. A short-dated, out-of-the-money put illustrates a losing path: the underlying falls but stays above the strike, so the option expires worthless while the short underlying…

OptiesRisicobeheerVolatiliteitMarktmicrostructuur
Quant Q&A

The document asks how to interpret a test for anticipation effects in a Difference-in-Differences study. It distinguishes this concern from the parallel-trends assumption, which the author describes as commonly assessed by jointly testing whether lead…

StatistiekGebeurtenisgestuurdBacktesten
Quant Q&A

The document considers whether it is reasonable to average correlation matrices estimated from the same underlying prices but sampled at different return frequencies. Its answer indicates that this practice has been observed in risk modeling, including…

StatistiekRisicobeheerPortefeuilleconstructie
Quant Q&A

This document asks how to interpret Fama–MacBeth regressions used to assess whether a six-factor asset-pricing model predicts expected returns. It contrasts a single-factor specification, where the average intercept and market slope are reported as…

FactorbeleggenStatistiek
Quant Q&A

The document describes a practical challenge in fitting an oil options volatility surface when market data are uneven across maturities. Near-dated contracts are liquid and screen-based, while longer-dated quotes are broker-based. At-the-money levels toward…

GrondstoffenOptiesVolatiliteitPrijsbepaling van derivaten