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Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

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

Meklēt bibliotēkā

Dokumentu skaits: 20,364

Quant Q&A

The document explains how to remove the random component from a portfolio made of an option and its underlying stock. Applying Itô’s lemma to the option value shows that the portfolio’s Brownian-motion exposure is proportional to the option’s delta and the…

OpcijasAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The document addresses a common confusion in stochastic calculus: an Itô process can have zero quadratic variation while still having nonzero variance at a fixed time. In the example, integrating Brownian motion with respect to time yields a process whose…

StatistikaSvārstīgums
Quant Q&A

The document explains convertible bond arbitrage as buying a convertible bond while shorting the issuer’s stock to create a delta-hedged, long-volatility position. The strategy seeks to benefit when realized volatility exceeds the bond’s implied volatility,…

ArbitrāžaOpcijasAkcijasSvārstīgums
Quant Q&A

The document asks whether reliable foreign-exchange prices are available during the weekend, when conventional spot markets are largely closed. The response cautions that quotes visible during quiet hours can be stale, making them poor evidence of current…

Valūtu tirgusKriptoaktīviTūlītējo darījumu tirgiNākotnes līgumi
Quant Q&A

The document asks how to derive risk-neutral dynamics for a dividend-paying asset when the bank account is the numeraire. It outlines the martingale condition for the discounted asset plus accumulated discounted dividends, then applies Itô’s formula and…

Atvasināto instrumentu cenu noteikšanaValūtu tirgusStatistika
Quant Q&A

The document explains why futures positions commonly end without physical delivery. It describes offsetting as closing a position by taking the opposite side in the same number of standardized contracts before expiration. The responses distinguish exposure…

Nākotnes līgumiIzejvielasRīkojumu izpilde
Quant Q&A

The document asks whether credit markets have a volatility index comparable to familiar measures for equities and interest rates. Its answer points to four daily implied-volatility measures covering North American investment-grade and high-yield CDX indices,…

Fiksēta ienākuma instrumentiSvārstīgumsAtvasināto instrumentu cenu noteikšana
Quant Q&A

This document identifies financial laws and regulatory frameworks that may affect investment advisers, European financial firms, commodity markets, anti-money-laundering work, taxation, broker-dealers, and securities exchanges. Its examples include US…

Riska pārvaldībaVairāku aktīvu tirdzniecībaASV tirgi
Quant Q&A

The document shows why subtracting calendar dates does not reliably locate observations in daily financial data. Weekends and market holidays create gaps, so the number of elapsed days can differ from the number of rows between two trading dates. The example…

AkcijasStatistikaVēsturisko datu pārbaudeTehniskie indikatori
Quant Q&A

The document explains XIRR as the annualized rate that equates a dated series of irregular cash flows with an equivalent constant-rate investment. Its examples contrast a simple loan with interest paid at different dates and a short holding-period trade,…

StatistikaVēsturisko datu pārbaudeRiska pārvaldība
Quant Q&A

The document compares QuantLib Greeks for a stylized foreign exchange option with Bloomberg values, focusing on a mismatch in theta. It explains that QuantLib's analytic Garman-Kohlhagen engine reports model theta: the derivative of option value with respect…

Valūtu tirgusOpcijasAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The document explains why the calendar spread between nearby German government bond futures can differ from zero and why rolling a position has a cost. Ignoring delivery options and margining, a bond future can be approximated as a forward whose fair value…

Fiksēta ienākuma instrumentiNākotnes līgumiPārneseRīkojumu izpilde
Quant Q&A

The document discusses reports of inconsistent Yahoo Finance downloads after changes to its data access method. The answer describes a retrieval process that relied on extracting a token from a webpage, along with reported irregularities in adjusted-close…

AkcijasVēsturisko datu pārbaude
Quant Q&A

The document describes a credit-risk data preparation workflow for estimating probability of default. The example defines a default event from arrears, term-expiry, or bankruptcy indicators, recodes the outcome for modeling convenience, and uses stratified…

Fiksēta ienākuma instrumentiStatistikaMašīnmācīšanās
Quant Q&A

The document derives a rough out-of-sample observation length for testing whether a strategy’s mean return exceeds zero. Assuming independent, identically distributed returns, it models the sample mean’s uncertainty as the return standard deviation divided…

StatistikaVēsturisko datu pārbaudeRiska pārvaldība
Quant Q&A

The document considers how to value a fixed-for-floating swap whose floating leg references a rate other than LIBOR, with a CNY example. It explains that the appropriate discount curve depends on the transaction’s collateral terms: for fully collateralized…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaĶīnas tirgi
Quant Q&A

The document asks whether solutions to a linear stochastic differential equation become differentiable when Brownian noise is filtered through the system’s dynamics. The question contrasts Brownian motion’s irregular paths with the intuition that a colored…

StatistikaSvārstīgums
Quant Q&A

The document asks why volatility models used to estimate Value at Risk may pass a backtest at a 5% confidence tail while failing at a 1% tail. The response says this pattern is common: as the tail becomes more extreme, the assumed return distribution matters…

Riska pārvaldībaVēsturisko datu pārbaudeSvārstīgumsStatistika
Quant Q&A

The document presents an implementation question about fitting a Heston–Nandi GARCH model by maximum likelihood. The author scales log returns, recursively computes conditional variance and standardized residuals, and uses differential evolution to search…

AkcijasSvārstīgumsStatistikaMašīnmācīšanās
Quant Q&A

The document asks how Markit defines spot dates for several currencies and how intermediate discount factors enter swap-curve bootstrapping. Its central example is a two-year EUR swap: the coupon schedule needs an 18-month discount factor, while quoted LIBOR…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document discusses how to estimate continuous-time credit rating migration dynamics from observed rating histories. It contrasts discrete-time cohort transition matrices, formed from beginning-to-end rating changes over a period, with a continuous-time…

Fiksēta ienākuma instrumentiStatistikaRiska pārvaldība
Quant Q&A

The document considers Monte Carlo pricing of barrier options under a Dupire local-volatility model. The questioner has calibrated smooth implied-volatility surfaces and calculates local volatility at simulation dates, but finds daily stepping slow for long…

OpcijasSvārstīgums
Quant Q&A

The document asks how to price two claims under Black–Scholes: one paying the time integral of the asset price and another paying the squared log of its terminal price. For the integral claim, the answers use discounted risk-neutral expectation and…

Atvasināto instrumentu cenu noteikšanaOpcijasStatistika