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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
Quantpedia
Dokumentu skaits: 86
TqSdk
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
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
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 asks where to obtain historical implied volatility rank or percentile data for US equities. The questioner distinguishes those measures from an options data feed that provides implied volatility alongside historical realized volatility, and…

OpcijasSvārstīgumsASV tirgi
Quant Q&A

The discussion examines why fundamental equity risk models, such as Barra-style models, often assign securities a binary exposure to their country, industry, or world factors. A one-zero membership indicator is a simple way to define exposures and estimate…

AkcijasFaktoru ieguldīšanaStatistikaPortfeļa veidošana
Quant Q&A

The document asks how to estimate the CEV model’s parameters, which determine the scale and price dependence of stock volatility, for simulations of CPPI and OBPI portfolio strategies. The answer recommends calibrating the model to vanilla equity or index…

OpcijasAkcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Quant Q&A

The discussion explains how bond DV01s measure each bond’s approximate price sensitivity to a one basis point move in its own yield, under a parallel shift assumption. Because the 5-year and 30-year bonds respond to different points on the yield curve, a…

Fiksēta ienākuma instrumentiNākotnes līgumiRiska pārvaldībaPozīcijas apjoma noteikšana
Quant Q&A

The discussion compares position sizing in proportion to inverse volatility with sizing in proportion to inverse variance. In a simple portfolio of normally distributed assets, inverse volatility sizing is associated with risk parity: it treats assets as…

Pozīcijas apjoma noteikšanaRiska pārvaldībaPortfeļa veidošanaSvārstīgums
Quant Q&A

The document explains ways to identify a portfolio with zero beta when no risk-free asset exists. One practical approach begins with a portfolio of assets, estimates its beta by regressing its returns on market returns over a chosen horizon, then offsets the…

Portfeļa veidošanaRiska pārvaldībaStatistika
Quant Q&A

The document examines whether replacing the CAPM’s constant expected factor return with its realized time-varying return in time-series regressions creates an errors-in-variables problem that invalidates the GRS test. The proposed test runs asset-return…

Faktoru ieguldīšanaStatistika
Quant Q&A

The document shows how to derive the price of a 10-year zero-coupon bond from two 10-year coupon bonds with different coupon rates and known prices. The replication scales a long position in the lower-coupon bond and a short position in the higher-coupon…

Fiksēta ienākuma instrumentiArbitrāžaPortfeļa veidošana
Quant Q&A

The document discusses whether brokerages offer web APIs for market data and order entry. It gives examples of a URL-based trading interface and reports that TD Ameritrade provided web APIs requiring an account, while noting that broker access varied. The…

Rīkojumu izpildeTirgus mikrostruktūra
Quant Q&A

The document explains the distinction between clean (quoted) and dirty (cash) bond prices when specifying a bond option. Its answer emphasizes that over-the-counter contracts can define their strike and underlying price according to the parties’ chosen…

Fiksēta ienākuma instrumentiOpcijasAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document presents an attempt to forecast VIX using a constant-mean GARCH(1,1) model fitted to daily log changes in the VIX. It shows a historical sample, a training cutoff, a multi-step forecast, and forecasted conditional variances across dates and…

SvārstīgumsAkcijasVēsturisko datu pārbaudeStatistika
Quant Q&A

The document compares geometric Brownian motion (GBM) with the Ornstein–Uhlenbeck (OU) process and presents them as parts of a broader diffusion model. In that framework, setting the mean-reversion coefficient to zero gives a non-mean-reverting process,…

StatistikaAtgriešanās pie vidējās vērtībasVairāku aktīvu tirdzniecība
Quant Q&A

The document raises a measurement question about calculating Sharpe ratios from a vectorized backtest. Its example constructs a strategy-return series by retaining bar-to-bar log returns only between an entry and an exit, while recording zero returns outside…

Vēsturisko datu pārbaudeStatistikaRiska pārvaldība
Quant Q&A

The document addresses how to summarize a sequence of trading gains and losses when positions occupy capital for different lengths of time. It recommends using the internal rate of return (IRR) on actual dollar cash flows rather than averaging return per…

StatistikaRiska pārvaldībaPozīcijas apjoma noteikšana
Quant Q&A

The document introduces the skew stickiness ratio (SSR) as a way to describe how at-the-money-forward implied volatility responds when the underlying asset moves. It uses this measure to distinguish two common smile-dynamics assumptions. Under sticky strike,…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document surveys ways to estimate how an option’s implied volatility may respond to a hypothetical market move, with portfolio risk simulation as the motivation. It describes modeling the joint behavior of forward at-the-money volatility and the first…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The document frames portfolio construction as choosing weights across return series to maximize the Sharpe ratio, defined in the question as average portfolio return divided by its standard deviation. It provides a small sample return matrix and a CVXPY…

Portfeļa veidošanaStatistikaRiska pārvaldībaVēsturisko datu pārbaude
Quant Q&A

Reverse stress testing starts with an unacceptable outcome, such as a specified portfolio loss or capital shortfall, and works backward to find market scenarios that could produce it. When many combinations could reach the threshold, assumptions about how…

Riska pārvaldībaStatistikaPortfeļa veidošanaFiksēta ienākuma instrumenti
Quant Q&A

The document explains why the Kelly criterion chooses a position size by maximizing expected logarithmic wealth growth rather than expected wealth or simple return. Because wealth compounds multiplicatively across repeated bets, log returns add across…

Pozīcijas apjoma noteikšanaRiska pārvaldībaStatistikaPortfeļa veidošana
Quant Q&A

The document explains an equivalence between a caplet paying a floating rate above a fixed strike and a put-style payoff on a zero-coupon bond. Its economic interpretation treats the caplet as the right to sell a one-period coupon bond with a predetermined…

OpcijasFiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document addresses how risk managers can respond when portfolio managers argue that tighter limits kept them from benefiting from rallies or rebounds. Its central recommendation is to agree with senior management on a clear mandate for each trader,…

Riska pārvaldībaPortfeļa veidošana
Quant Q&A

The document explains why a first principal component computed from asset returns may appear to represent the market with all-negative loadings and a strong negative correlation to a market index. This does not necessarily indicate a different economic…

StatistikaFaktoru ieguldīšanaAkcijas
Quant Q&A

The document outlines a probabilistic route from the Black–Scholes terminal-value problem for a European call to its familiar closed-form price. Feynman–Kac represents the solution as a discounted expected payoff under a diffusion. The derivation then…

OpcijasAtvasināto instrumentu cenu noteikšanaStatistika