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 document explains how the time increment in a simulated Heston model relates to the number of steps per year: once the time unit is fixed, choosing one determines the other. Its main example is the Euler–Maruyama discretization of the stock and variance…

OptsioonidVolatiilsusTuletisinstrumentide hinnastamineTagantjärele testimine
Quant Q&A

The document asks how replication should be understood for an American option in a pricing model under a risk-neutral measure. A self-financing portfolio with an adapted strategy has a martingale value process, while an American option’s payoff process…

OptsioonidTuletisinstrumentide hinnastamine
Quant Q&A

The document concerns adapting the Avellaneda–Stoikov market-making model to a longer time horizon. Its question centers on the reservation-price expression, where inventory, risk aversion, volatility, and remaining time shift the indifference price away…

TurutegemineRiskijuhtimineVolatiilsus
Quant Q&A

The document describes a simulation question about the Heath–Jarrow–Morton interest-rate framework. The author simulates forward rates with constant volatility and antithetic normal draws, then compares averages of simulated rates with corresponding values…

Fikseeritud tuluga väärtpaberidStatistikaTuletisinstrumentide hinnastamine
Quant Q&A

The document discusses whether exchanges cap the total number of resting orders in an order book. Its main answer is that limits are often applied at the trader or participant level, such as constraints on the number of open orders or the rate at which…

Turu mikrostruktuurTehingute täitmineRiskijuhtimine
Quant Q&A

The document explains how to represent dual-curve pricing for caps and caplets in QuantLib Python. The curve handle supplied to the pricing engine is used to discount cash flows, while the curve associated with the Ibor index supplies forward rates.…

Fikseeritud tuluga väärtpaberidOptsioonidTuletisinstrumentide hinnastamine
Quant Q&A

The document explains why stock positions remain open overnight even when some day traders prefer to close before the market shuts. Long-horizon investors and institutions—including mutual funds, private individuals, and bank portfolios—may hold shares as…

AktsiadTehingute täitmineStatistikaTagantjärele testimine
Quant Q&A

The document outlines a validation approach for a finite-difference implementation of the Libor Market Model. It recommends comparing European swaption prices across at-the-money and in-the-money or out-of-the-money strikes with prices from a zero-shift SABR…

Fikseeritud tuluga väärtpaberidOptsioonidTuletisinstrumentide hinnastamineTagantjärele testimine
Quant Q&A

The discussion examines when at-the-money (ATM) implied volatility can approximate the risk-neutral expectation of average integrated variance. For very short maturities, it motivates the approximation by noting that instantaneous volatility near the start…

OptsioonidVolatiilsusTuletisinstrumentide hinnastamineStatistika
Quant Q&A

The discussion asks whether implied volatility (IV) produces better option prices than historical volatility (HV), noting that the common forward-looking argument for IV is not enough by itself to establish better pricing performance. It cites an experiment…

OptsioonidVolatiilsusTuletisinstrumentide hinnastamineStatistika
Quant Q&A

The Longstaff–Schwartz method prices American options by simulating possible asset paths and using regression to estimate continuation values. The discussion notes that simulation can accommodate options whose value depends on multiple factors, so the method…

OptsioonidTuletisinstrumentide hinnastamineStatistikaTagantjärele testimine
Quant Q&A

The document explains how an out-of-the-money put affects variance-covariance Value at Risk for a portfolio of stocks, bonds, an ETF, and an option. The method begins with market-factor volatilities and correlations, then combines factor sensitivities with…

RiskijuhtimineOptsioonidPortfelli koostamineStatistika
Quant Q&A

The document compares two ways of combining the annualized returns of a two-asset portfolio. Weighting each asset’s annualized return assumes the portfolio weights are maintained over time through rebalancing. Weighting the assets’ cumulative returns instead…

Portfelli koostamineStatistikaTagantjärele testimine
Quant Q&A

The question describes pricing a fixed coupon bond in QuantLib with a flat yield curve built from semiannual zero rates. The user encounters a negative-time error because the curve’s first date comes after the evaluation date. The accepted answer explains…

Fikseeritud tuluga väärtpaberidTuletisinstrumentide hinnastamine
Quant Q&A

The document surveys the trade-offs involved in selecting an optimizer for portfolio allocation problems with multiple assets or risk factors, varied objectives, constraints, and simulation noise. It describes numerical search as a balance between…

Portfelli koostamineRiskijuhtimineStatistikaTagantjärele testimine
Quant Q&A

The document distinguishes the CAPM relation for expected returns from a single-index model for realized returns. It asks whether CAPM alone can support the familiar division between systematic and diversifiable risk, since an expected-return equation does…

StatistikaRiskijuhtiminePortfelli koostamine
Quant Q&A

The document explains how a portfolio can have lower variance than either of its component assets, even when one asset has higher standalone volatility. It uses a fully invested two-asset portfolio and derives the minimum-variance weight from the assets’…

Portfelli koostamineRiskijuhtimineStatistika
Quant Q&A

The document examines how a market maker might manage exposure after buying ETF shares from a customer. Hedging every underlying component immediately can be impractical for a large index basket, especially when fills are small and component share quantities…

AktsiadTurutegemineTehingute täitmineRiskijuhtimine
Quant Q&A

The document explains why daily volatility is commonly scaled by the square root of the number of trading days in a year. Under constant daily variance and uncorrelated returns, variances add across trading days, so annual volatility equals daily volatility…

StatistikaVolatiilsus
Quant Q&A

The document discusses how to assess liquidity in commodity futures, noting that stock-market measures such as volume and the Amivest ratio may not transfer directly to every contract. Suggested indicators include trading volume, bid–ask spreads, order-book…

ToorainedFutuuridTuru mikrostruktuur
Quant Q&A

The document considers how to hedge an equity portfolio of acquisition targets when some deals pay part of the consideration in acquirer shares. It proposes estimating the portfolio’s index exposure by multiplying each acquirer’s dollar position by its beta…

AktsiadSündmustepõhineRiskijuhtiminePortfelli koostamine
Quant Q&A

The document asks whether the profit or loss of a Black-Scholes delta-hedged option depends only on realized volatility at expiry or also on its path. It references a hedge-error expression involving gamma exposure and the difference between implied variance…

OptsioonidVolatiilsusRiskijuhtimineTagantjärele testimine
Quant Q&A

The document examines a density that appears when expressing forward implied variance as an average of local variance. It derives the weighting from the risk-neutral distribution of the underlying and a factor involving spot squared and Black-Scholes gamma.…

OptsioonidTuletisinstrumentide hinnastamineVolatiilsusStatistika
Quant Q&A

The document considers whether high and low prices can improve correlation estimates from OHLC bars. Its central point is that open and close observations have known timing, while the relative timing of each asset’s high and low is unknown. A joint estimator…

StatistikaVolatiilsusMitme varaklassiga