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
Quantpedia
86 dokumenti
TqSdk
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
Quantopiani loengud
45 dokumenti
Binance API docs
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 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…

AktsiadFaktorinvesteerimineStatistikaTagantjärele testimine
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…

Turu mikrostruktuurStatistikaKõrgsageduskauplemine
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…

Fikseeritud tuluga väärtpaberidTuletisinstrumentide hinnastamineStatistika
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…

AktsiadVolatiilsusStatistika
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…

AktsiadUSA turudTuru mikrostruktuur
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…

Mitme varaklassigaFikseeritud tuluga väärtpaberidOptsioonidRiskijuhtimine
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…

StatistikaAktsiad
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…

OptsioonidTuletisinstrumentide hinnastamine
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…

AktsiadStatistika
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…

AktsiadVolatiilsusRiskijuhtimineTagantjärele testimine
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…

RiskijuhtimineStatistikaOptsioonidFikseeritud tuluga väärtpaberid
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.…

Turu mikrostruktuurArbitraažRiskijuhtimine
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…

StatistikaRiskijuhtimine
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…

StatistikaVolatiilsusRiskijuhtimine
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…

StatistikaFutuuridTuru mikrostruktuur
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…

ValuutaturgRiskijuhtimineTuru mikrostruktuur
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…

Tehingute täitmineTuru mikrostruktuurKeskmise juurde naasmineMomentum
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…

OptsioonidTuletisinstrumentide hinnastamineVolatiilsus
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…

Fikseeritud tuluga väärtpaberidStatistikaTuletisinstrumentide hinnastamine
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…

Portfelli koostamineRiskijuhtimineStatistikaPositsiooni suuruse määramine
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…

StatistikaVolatiilsusMasinõpe
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…

OptsioonidVolatiilsusTuletisinstrumentide hinnastamineTehingute täitmine
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…

Tehnilised indikaatoridMomentumStatistika
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…

StatistikaRiskijuhtimineAktsiad