Pāriet uz saturu

Zināšanu bibliotēka

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 discusses implementing the nine Piotroski F-score signals with company financial data. The response treats the questions as accounting and data-mapping issues, and recommends consulting the original research for precise definitions. It suggests…

AkcijasFaktoru ieguldīšanaStatistikaVēsturisko datu pārbaude
Quant Q&A

The answer explains the micro-price as an expected future price conditioned on order-book information, using imbalance and bid-ask spread as example state variables. Because the price level need not be stationary, the model focuses on increments and tracks…

Tirgus mikrostruktūraStatistikaAugstas frekvences tirdzniecība
Quant Q&A

The document derives the fixed rate that makes the present values of a swap’s fixed and floating legs equal under a single-curve framework. It first expresses each leg as a discounted sum of accrual-period cash flows, then solves for the fixed rate as the…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document outlines an attempted replication of a study modeling daily Athens Stock Exchange returns with an AR(1)-GARCH-M(1,1) specification. Its conditional variance includes the usual ARCH and GARCH terms plus squared inputs from a Feigenbaum chaotic…

AkcijasSvārstīgumsStatistika
Quant Q&A

The document asks how to source long-run US stock end-of-day data that records official opening and closing prices from each listing exchange’s auctions. It distinguishes those prices from consolidated-tape values that providers may derive from the first and…

AkcijasASV tirgiTirgus mikrostruktūra
Quant Q&A

The document lays out a broad study checklist for financial risk management. Its product areas include fixed income, equities, currencies, commodities, exotics, and credit derivatives. The concepts span risk and return, hedging, risk neutrality, no-arbitrage…

Vairāku aktīvu tirdzniecībaFiksēta ienākuma instrumentiOpcijasRiska pārvaldība
Quant Q&A

The document explains percent change as the price difference measured relative to the original price. Divide the change by the original price and multiply by one hundred to express the result as a percentage. The question explores whether the percent sign…

StatistikaAkcijas
Quant Q&A

The document asks what options are represented by root symbols that begin with a digit and end with a stock ticker, using an adjusted-options example in which a root differs from the underlying ticker. The answer identifies these series as Flex options. Flex…

OpcijasAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document defines the close-to-open return for each stock on day t as that day’s opening price divided by the prior day’s close, minus one. The question asks how to calculate this daily across multiple stocks without a loop, using separate data frames for…

AkcijasStatistika
Quant Q&A

The document explains how to forecast a lower-tail, two-day Value at Risk (VaR) from a Gaussian GARCH(1,1) model and how to evaluate the forecasts. Rather than using the fitted, in-sample quantiles as the main backtest, the accepted answer recommends…

AkcijasSvārstīgumsRiska pārvaldībaVēsturisko datu pārbaude
Quant Q&A

The document distinguishes quantifiable risk, Knightian uncertainty, and Black Swan events using examples from option and credit pricing. One explanation treats ordinary risk as an event with a probability that can be estimated from market prices, Knightian…

Riska pārvaldībaStatistikaOpcijasFiksēta ienākuma instrumenti
Quant Q&A

The document considers tokens that pay out a fixed prize to the holder or holders with the largest position at a deadline. Because token value depends on how holdings compare across participants, ordinary arbitrage pricing is not enough to determine value.…

Tirgus mikrostruktūraArbitrāžaRiska pārvaldība
Quant Q&A

The document asks why a life insurance reserve simulated with stock returns appears smoother than the underlying geometric Brownian motion. Its reserve equation combines investment returns, premium income, and mortality-related benefit payments. The author…

StatistikaRiska pārvaldība
Quant Q&A

The document discusses how to choose the decay factor, lambda, in an exponentially weighted moving average model when estimating correlations. It says familiar RiskMetrics values for daily and monthly observations are not universal recommendations for yearly…

StatistikaSvārstīgumsRiska pārvaldība
Quant Q&A

The document introduces Generalized Information Share (GIS) as an extension of Hasbrouck's Information Share for assessing how different markets or information sources contribute to price discovery. It outlines a suggested workflow: fit a vector…

StatistikaNākotnes līgumiTirgus mikrostruktūra
Quant Q&A

The document sketches a scalable way for a broker to monitor account equity against maintenance margin across many clients and instruments. Represent each account's positions as a row in a client-by-instrument matrix, and current instrument prices as a…

Valūtu tirgusRiska pārvaldībaTirgus mikrostruktūra
Quant Q&A

The document challenges the idea that a minimum viable holding period can be derived from transaction costs independently of a strategy. Trading costs depend on how a strategy trades: for example, momentum may demand buying after prices have risen, while…

Rīkojumu izpildeTirgus mikrostruktūraAtgriešanās pie vidējās vērtībasCenas impulss
Quant Q&A

The document explains how the Carr–Madan identity represents a sufficiently smooth terminal payoff using a fixed component, a linear exposure to the underlying, and a continuum of puts and calls across strikes. The terminal price is a random future value in…

OpcijasAtvasināto instrumentu cenu noteikšanaSvārstīgums
Quant Q&A

The document explains how to fit Nelson–Siegel–Svensson (NSS) parameters to observed bond prices. Each bond is represented by its cash flows and their times to payment; each cash flow is discounted using the spot-rate curve implied by a candidate parameter…

Fiksēta ienākuma instrumentiStatistikaAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document asks whether a proposed constrained portfolio optimization setup correctly represents Kelly growth, how its portfolio curve relates to the familiar Kelly parabola, and how Kelly allocation differs from Markowitz mean-variance analysis. The…

Portfeļa veidošanaRiska pārvaldībaStatistikaPozīcijas apjoma noteikšana
Quant Q&A

The answer explains conditional likelihood as a way to estimate models in which the distribution of observations changes over time. In a standard maximum likelihood setup, the same parameter values govern each observation. With time-varying parameters, each…

StatistikaSvārstīgumsMašīnmācīšanās
Quant Q&A

The document explains how a long option’s gamma profit and loss relates to realized volatility versus the implied volatility used to price it. Under the stated continuous hedging formula, the gamma component is positive when realized variance exceeds implied…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaRīkojumu izpilde
Quant Q&A

The document discusses why researchers use moving averages, MACD, RSI, and related transformations as inputs instead of raw financial time series. The responses offer several possible roles: smoothing noisy observations, representing momentum through…

Tehniskie indikatoriCenas impulssStatistika
Quant Q&A

The document concerns fitting a residual distribution after an ARMA–GARCH model, using a kernel density estimate for the center and peaks-over-threshold methods for the tails. The question asks whether a generalized Pareto distribution should cover every…

StatistikaRiska pārvaldībaAkcijas