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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
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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
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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
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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 examines the claim that an option’s delta approximates its probability of expiring in the money. In the Black–Scholes framework, the answer connects delta to the risk-neutral probability of an in-the-money expiry, with an adjustment related to…

OpcijasAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document explains how open interest relates to long and short positions in options and other derivatives. Because each contract has both a long side and a short side, open interest can be counted from either side: the number of open longs equals the…

OpcijasAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document explains how to combine volatility estimates from consecutive periods. If returns across the periods are uncorrelated, their variances add, so the standard deviation over the full two-year span is the square root of the sum of the two annual…

StatistikaRiska pārvaldībaPortfeļa veidošana
Quant Q&A

The document explains that a ratio of the swap bid–ask spread to the bond bid–ask spread is not a standard bond-versus-swap spread measure. Instead, the appropriate definition depends on the comparison being made and the desired treatment of the bond’s cash…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document addresses how to estimate standard errors for GARCH parameters when fitting the model by maximum likelihood. It points to the Bollerslev–Wooldridge robust inference approach and notes that the fGarch package supports it through its…

StatistikaSvārstīgums
Quant Q&A

The document considers negative spreads produced by sector spread estimates or stressed credit curves, and whether they should be converted to zero default probability. It starts from a simple spread-to-default-probability approximation based on recovery,…

Fiksēta ienākuma instrumentiRiska pārvaldībaStatistika
Quant Q&A

The answer addresses how to interpret apparent extreme kurtosis in positive accounting ratios such as inventory turnover and inventory days. Its main point is that ratios can have distributions without finite means or variances, in which case conventional…

StatistikaRiska pārvaldība
Quant Q&A

The document explains how to price a European call under Merton’s jump-diffusion model. A Black-Scholes calculation conditioned on a fixed number of jumps is only one component of the price; the full value averages those conditional prices across all…

OpcijasAtvasināto instrumentu cenu noteikšanaSvārstīgumsStatistika
Quant Q&A

The document outlines a simple Monte Carlo approach to valuing the wildcard option in Treasury futures. It proposes sampling late-day changes in the cheapest-to-deliver bond during the delivery period, then evaluating each day whether exercising the wildcard…

Nākotnes līgumiOpcijasAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The document considers how to estimate an option’s implied volatility at a target maturity using options observed at nearby expiries. Its response recommends estimating an at-the-money volatility term structure rather than holding an arbitrary strike fixed…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Quant Q&A

The discussion explains that pegged orders do not necessarily retain first-in-queue priority when prices move. Queue handling depends on the exchange’s order type and matching rules; traders should check venue documentation, especially for time priority and…

Tirgus mikrostruktūraRīkojumu izpildeAugstas frekvences tirdzniecība
Quant Q&A

The discussion considers how a bond dealer who cannot sell short might adapt a market-making strategy designed for dealers with two-sided inventory flexibility. Its central argument is conditional: if a long-only dealer already holds enough inventory to…

Fiksēta ienākuma instrumentiTirgus veidošanaRiska pārvaldībaPozīcijas apjoma noteikšana
Quant Q&A

The discussion addresses building a daily indicator for which Eurozone government bond is cheapest to deliver against a bond futures contract, for use in a repo-rate panel regression. It gives a Bloomberg Excel history query for the futures CTD identifier…

Fiksēta ienākuma instrumentiNākotnes līgumiStatistikaVēsturisko datu pārbaude
Quant Q&A

The discussion asks how to change from a physical probability measure to a risk-neutral measure when an asset follows an additive-noise Ornstein–Uhlenbeck-style process. It distinguishes this specification from geometric Brownian motion, where the diffusion…

Atvasināto instrumentu cenu noteikšanaStatistikaRiska pārvaldība
Quant Q&A

This discussion considers whether quasi-Monte Carlo (QMC) can help price path-dependent derivatives and how to speed up Monte Carlo simulations. It explains that an option price is an expectation over risk-neutral paths, so QMC can in principle be used to…

OpcijasAtvasināto instrumentu cenu noteikšanaStatistikaRīkojumu izpilde
Quant Q&A

The document explains why an equity index futures price can be below the expected future level of the index. Under the stated setup, the expected index value reflects investors’ required expected return, while the futures price reflects the risk-free rate…

Nākotnes līgumiAkcijasRiska pārvaldībaAtvasināto instrumentu cenu noteikšana
Quant Q&A

The discussion explains that a linear factor asset-pricing model can, in principle, be applied to any asset return, including an individual stock. In practice, single-stock factor betas estimated from time-series regressions can be imprecise because company…

AkcijasFaktoru ieguldīšanaStatistika
Quant Q&A

In QuantLib, the tenor passed to a Schedule specifies the spacing used to generate dates between the schedule’s start and end dates. The discussion applies this to a floating-rate bond that references quarterly EURIBOR but pays every two months: the index…

Fiksēta ienākuma instrumenti
Quant Q&A

The document discusses how to estimate the coefficient in a square-root model of equity market impact. Suggested approaches include regressing realized price moves against order size relative to volume, checking a log-log plot for square-root scaling, and…

AkcijasRīkojumu izpildeTirgus mikrostruktūraStatistika
Quant Q&A

The document explains how an at-market overnight index swap fixed rate is chosen so the swap has zero value at inception. Its floating leg compounds daily overnight rates, while the fixed leg pays the agreed rate according to the contract schedule. Under the…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaStatistikaRiska pārvaldība
Quant Q&A

The post considers lag-one sample autocorrelation in daily stock log returns and asks when its scaled estimator is asymptotically standard normal under a model with normally distributed returns. It seeks a reference for the assumptions that justify this…

AkcijasStatistikaVēsturisko datu pārbaude
Quant Q&A

The discussion contrasts European call and put prices as maturity changes. It gives an arbitrage argument that, under a positive interest rate, a call with a longer maturity cannot be cheaper than an otherwise identical shorter-dated call: if it were, buying…

OpcijasAtvasināto instrumentu cenu noteikšanaArbitrāžaRiska pārvaldība
Quant Q&A

The document explains the rate-unit convention for fitting Nelson–Siegel–Svensson curves to spot, forward, or discount rates. Its answer states that rates should be entered as decimals, such as 0.05 for a quoted five percent, rather than as whole percentage…

Fiksēta ienākuma instrumentiStatistikaAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document clarifies a distributional result for the Cox–Ingersoll–Ross short-rate model. Conditional on the current rate, a scaled future rate has a noncentral chi-square distribution; the rate by itself is not generally described by that same…

Fiksēta ienākuma instrumentiStatistikaAtvasināto instrumentu cenu noteikšana