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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 addresses how to prepare mathematically for advanced quantitative finance texts and front-office quant work. Its answer argues that isolated textbook reading is unlikely to provide a coherent foundation because topics depend on one another; for…

StatistikaAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document asks how to keep variance nonnegative in a discretized mean-reverting Heston-style model. Its response interprets the variance update as a discretization of a square-root diffusion, then states the Feller condition that keeps the continuous-time…

SvārstīgumsAtvasināto instrumentu cenu noteikšanaRiska pārvaldībaStatistika
Quant Q&A

The document discusses how to choose parameters for simulating stock prices with a Variance Gamma process. The question describes generating a gamma-distributed time change, then a conditionally normal increment, and asks how to estimate the process…

AkcijasStatistikaVēsturisko datu pārbaudeAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document asks how to explain the vega of an exotic derivative when its volatility surface is represented with Gatheral’s SVI parameterization. It proposes examining changes in each SVI parameter across time slices and approximating the resulting change…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document explains an example comparing the future value of pre-tax and post-tax retirement contributions. It starts with a dollar contribution, a fixed tax rate, an annual return, and a retirement horizon. The post-tax amount is compounded directly; the…

StatistikaRiska pārvaldībaPortfeļa veidošana
Quant Q&A

The document asks how to include liquidity effects in a historical-simulation risk model spanning equities and bonds. One response proposes serial autocorrelation in returns as a proxy for trading frictions, reasoning that highly liquid assets should have…

Vairāku aktīvu tirdzniecībaTirgus mikrostruktūraRiska pārvaldībaRīkojumu izpilde
Quant Q&A

The document discusses how to present a quantitative trading interview assignment that forecasts volatility for several stocks from a short high-frequency dataset. The candidate used a Bayesian multivariate stochastic-volatility model and wonders whether the…

SvārstīgumsMašīnmācīšanāsStatistika
Quant Q&A

The document asks how to revise the non-default outcomes in a credit rating transition row after new information changes the estimated default probability. It presents three candidate relationships between the original and revised probabilities, each…

Fiksēta ienākuma instrumentiStatistikaRiska pārvaldība
Quant Q&A

The document describes an out-of-sample comparison of one-day-ahead variance forecasts from an ARMA-GARCH model against realized-volatility estimates for twelve stocks. It proposes checking calibration by regressing observed variance on forecast variance: an…

AkcijasSvārstīgumsStatistikaVēsturisko datu pārbaude
Quant Q&A

The document introduces the distinction between implied and local volatility through a learner’s interpretation of option prices and diffusion models. Implied volatility maps strike and maturity to the volatility that reproduces a market option price under…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document compares approaches for storing financial time series and serving them to R, with particular attention to tick data. One response argues that database choice matters less than matching storage layout and indexing to query patterns: a clustered…

Augstas frekvences tirdzniecībaTirgus mikrostruktūraRīkojumu izpilde
Quant Q&A

The document asks whether portfolio concentration by region or industry can serve as a proxy for general wrong-way risk (GWWR). It defines GWWR as a relationship in which broad market factors both increase exposure and raise a counterparty’s probability of…

Riska pārvaldībaFiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaPortfeļa veidošana
Quant Q&A

The document examines whether buying an underlying asset while also buying a put creates an arbitrage opportunity. The response describes the expiration payoff: the protective put limits losses below the put strike, while gains accrue when the underlying…

OpcijasArbitrāžaAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document considers how to encode credit ratings as categorical features when the distance between rating notches may not be linear. It notes ordinal encoding as a common approach and mentions probit, logistic, and exponential transformations as…

Fiksēta ienākuma instrumentiMašīnmācīšanāsStatistika
Quant Q&A

The document asks when finite element methods (FEM) are preferable to finite difference methods (FDM) for pricing derivatives. It contrasts FEM’s potential strengths in handling complicated boundaries, weak solutions of partial differential equations, and…

Atvasināto instrumentu cenu noteikšanaOpcijasStatistika
Quant Q&A

The document discusses data choices for studying covered interest parity (CIP) across currencies when general collateral repo rates at term maturities are difficult to obtain. It explains that short-dated, high-quality government bonds and reverse repos can…

Fiksēta ienākuma instrumentiValūtu tirgusArbitrāžaRiska pārvaldība
Quant Q&A

The document responds to a request for monthly US Treasury bond return histories extending earlier than commonly used benchmark indices. It identifies the Bloomberg US Treasury Index as having history back to 1973 and points to Ibbotson SBBI five-year and…

Fiksēta ienākuma instrumentiASV tirgiStatistika
Quant Q&A

The document clarifies why Girsanov's theorem may be cited when discussing price processes with zero drift under a martingale measure. Girsanov describes how changing between equivalent probability measures alters a process's drift; in an appropriate…

StatistikaAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document asks whether open, high, and low prices can be reconstructed when a data source records only bids, asks, and closes. The answer says exact recovery is not possible from those observations alone. In particular, opens and closes are typically…

Tirgus mikrostruktūraStatistika
Quant Q&A

The document shows how to price a European option with payoff equal to the positive part of the underlying raised to a constant power, less the strike. Under Black–Scholes, the underlying follows geometric Brownian motion. Applying Itô’s lemma to its power…

OpcijasAtvasināto instrumentu cenu noteikšanaSvārstīgums
Quant Q&A

The document derives how a call option’s price changes as its strike changes. Starting from the risk-neutral expected payoff, it writes the option value as a discounted integral over terminal underlying prices above the strike. Differentiating that…

OpcijasAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document examines a deep out-of-the-money call whose quoted market price implies far more volatility than the data provider reports. Recalculating implied volatility with an American-option model gives a value in the vicinity of 150%, while the provider…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document explains why pricing models need dates converted into year fractions. In Black–Scholes or Monte Carlo pricing, an option’s pricing date and expiry must be expressed as a time to maturity using a day-count convention. Swaps can use different…

Atvasināto instrumentu cenu noteikšanaOpcijasFiksēta ienākuma instrumenti
Quant Q&A

The document frames a choice between forecasting a stock basket’s correlation matrix with rolling-window Kendall’s tau or a generalized orthogonal APARCH(1,1) model. The motivating use is pricing options on a basket whose maturity defines the forecast…

AkcijasOpcijasSvārstīgumsStatistika