Liigu sisu juurde

Teadmiste raamatukogu

Kokkuvõtted ja põhiideed raamatutest, teadustöödest, artiklitest ja koodist, mida meie AI-agendid loevad. Need on koostanud Stratmilli uurimisagent. Igal lehel on link originaalile.

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

Otsi raamatukogust

20,364 dokumenti

Quant Q&A

The discussion distinguishes listed options from over-the-counter foreign exchange options. Conventional option chains are associated with listed contracts. Interbank FX options are predominantly over the counter and are usually quoted in implied volatility,…

ValuutaturgOptsioonidVolatiilsusTuletisinstrumentide hinnastamine
Quant Q&A

The question concerns whether a short-horizon foreign exchange forecasting model should use bid prices, ask prices, or a blended series, and how to evaluate trades in a backtest. The response distinguishes measuring market movement from simulating executable…

ValuutaturgTagantjärele testimineTehingute täitmineTuru mikrostruktuur
Quant Q&A

The document discusses how to design a cross-asset pricing library that supports multiple models and numerical methods while keeping products and payoffs immutable for serialization. Its central design principle is to keep a payoff focused on contract terms…

Tuletisinstrumentide hinnastamineOptsioonidPortfelli koostamineTagantjärele testimine
Quant Q&A

The discussion asks whether variance is a convex risk measure and tests the question by expanding the variance of a weighted combination of two random variables. The key method is to bound covariance by its maximum possible value, attained when the variables…

StatistikaRiskijuhtimine
Quant Q&A

The document shows how to derive a par coupon from a zero-rate curve. First convert each continuously compounded zero rate into a discount factor using its maturity. Then price a hypothetical coupon bond by discounting each coupon and principal payment.…

Fikseeritud tuluga väärtpaberidTuletisinstrumentide hinnastamine
Quant Q&A

The document considers bull and bear equity performance bonds that pay periodic coupons linked to stock returns, subject to a minimum coupon. It raises a modeling ambiguity: the coupon might be a minimum plus a positive performance component, or the maximum…

AktsiadOptsioonidTuletisinstrumentide hinnastamine
Quant Q&A

The document explains how a Gaussian short-rate model with a multivariate Ornstein–Uhlenbeck state process produces a yield curve. Its derivation includes a maturity-dependent covariance adjustment; omitting that term gives the familiar Nelson–Siegel curve…

Fikseeritud tuluga väärtpaberidArbitraažStatistika
Quant Q&A

The discussion addresses frequent Value at Risk exceedances in backtests of portfolios whose VaR was estimated with historical simulation using rolling samples of 250 or 500 daily returns. It frames the issue as potential underestimation of risk and mentions…

RiskijuhtimineTagantjärele testimineStatistika
Quant Q&A

A default-free yield curve reflects more than current short-term yields. Its shape combines expectations for future short rates, the bond risk premium, and the value investors place on convexity. A curve can slope downward when markets expect rates to…

Fikseeritud tuluga väärtpaberidUSA turudArbitraaž
Quant Q&A

Volatility forecast evaluation depends on what quantity is forecast and what observation serves as the benchmark. Possible targets include volatility, variance, or log volatility; because true volatility is latent, evaluation may use implied volatility or a…

VolatiilsusStatistikaTagantjärele testimine
Quant Q&A

The document raises practical questions about using XGBoost to predict whether the next candle’s closing price will move above or below a chosen threshold from the current open. The proposed feature set combines market sentiment, macroeconomic variables,…

KrüptoMasinõpeTagantjärele testimineTehnilised indikaatorid
Quant Q&A

The document asks how to approximate a portfolio’s loss distribution with a single-factor Vasicek model when individual loans have different default probabilities and correlations to the risk factor. The stated goal is to match the aggregate expected loss…

Fikseeritud tuluga väärtpaberidStatistikaRiskijuhtiminePortfelli koostamine
Quant Q&A

The document describes a numerical failure when calculating implied volatility for American options with RQuantLib: the solver reports that it cannot bracket a root, even though the user obtains values by entering observations manually. The suggested…

OptsioonidTuletisinstrumentide hinnastamineVolatiilsusStatistika
Quant Q&A

The document connects portfolio theory, CAPM, factor models, and the Sharpe ratio to the problem of analyzing short-term loan repayment data. It explains that loan portfolios are often assessed through loss distributions, since losses are a central driver of…

Fikseeritud tuluga väärtpaberidStatistikaRiskijuhtiminePortfelli koostamine
Quant Q&A

The document derives a linear state-space representation for estimating parameters in a futures price model with two latent factors. The state variables follow continuous-time stochastic processes: one mean-reverts, while the other accumulates shocks.…

FutuuridStatistikaVolatiilsusTuletisinstrumentide hinnastamine
Quant Q&A

The document examines whether a covered call can earn a relatively reliable profit by waiting for time decay. Its example sells calls against a large stock holding, but the response points out that the stock’s price movement dominates the small option…

OptsioonidTuletisinstrumentide hinnastamineRiskijuhtimineVolatiilsus
Quant Q&A

The document asks whether potential pairs can be screened faster than testing every stock pair across every tick. It describes a theoretical approach based on fast matrix multiplication, which can reduce the asymptotic cost of computing a correlation matrix.…

PaariskauplemineStatistikaAktsiadFutuurid
Quant Q&A

The document addresses how to prove subadditivity for an entropic risk measure, after monotonicity, positive homogeneity, and translation invariance have been established. The response introduces an auxiliary function of a random variable and a positive…

RiskijuhtimineStatistika
Quant Q&A

The document raises a modeling question about whether the short rate is Markov in the Heath–Jarrow–Morton framework. It presents an expression for the instantaneous forward rate and a derived spot-rate dynamics expression that includes a stochastic integral…

Fikseeritud tuluga väärtpaberidStatistika
Quant Q&A

The document contrasts two approaches to generating alpha: forecasting future prices or returns, and estimating an asset’s intrinsic value. Valuation methods such as discounted cash flow and peer comparisons can identify a gap between estimated value and…

AktsiadStatistikaKeskmise juurde naasmine
Quant Q&A

The document addresses a question about why portfolio weights from a mean variance optimization may not sum to one when short selling is allowed. It presents the Lagrange multiplier setup for minimizing portfolio variance subject to a budget constraint and a…

Portfelli koostamineStatistikaRiskijuhtimine
Quant Q&A

The document explains the popularity of GARCH(1,1) as a volatility model. Its simple structure, connection to established time series methods, and ability to represent volatility clustering and heavy tailed returns help explain its use. The discussion cites…

VolatiilsusStatistikaTagantjärele testimine
Quant Q&A

The document considers whether technical patterns may lose predictive value as central banks, passive investors, and algorithmic trading change market structure. Its answer separates patterns that work because traders believe in and act on them from patterns…

Tehnilised indikaatoridTuru mikrostruktuurTurusentiment