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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
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 post considers how to decide whether an implied volatility smile has unusually large skew. It defines local skew as the slope of implied volatility against log moneyness, while noting that the raw slope depends on the volatility level and may need…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaVēsturisko datu pārbaude
Quant Q&A

The post asks whether minimum-risk and minimum-variance portfolios are equivalent, prompted by a paper that distinguishes proposed minimum-risk portfolios from traditional minimum-variance portfolios. The answers explain that the distinction depends on how…

Portfeļa veidošanaRiska pārvaldībaStatistika
Quant Q&A

The post asks for readable resources that build intuition for the Black–Scholes Greeks, especially through visualizations of how measures such as delta and vega change with time and moneyness. It also seeks guidance on using Greeks to structure options…

OpcijasAtvasināto instrumentu cenu noteikšana
Quant Q&A

The question considers insuring a portfolio of large- and small-cap US equity ETFs against a loss beyond a portfolio-wide threshold. It contrasts a single payoff based on the combined basket with separate options on each holding, which could pay when one…

OpcijasAkcijasAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The discussion distinguishes the two-stage Fama–MacBeth procedure from a linear factor model implementation. In the procedure described, asset betas are first estimated, potentially with a rolling window, then a separate cross-sectional regression is run for…

StatistikaFaktoru ieguldīšanaAkcijasMašīnmācīšanās
Quant Q&A

The answer proposes that some firms infer large investors’ buying or selling through information shared by prime brokerage personnel. Its account is that investment managers disclose information when seeking prime brokerage services, and that connections…

AkcijasTirgus mikrostruktūraASV tirgiUz notikumiem balstīta tirdzniecība
Quant Q&A

The document asks whether a machine-readable source reports Federal Reserve target-rate changes close to the time of an FOMC announcement. It contrasts the desired near-real-time update with the cited FRED upper- and lower-bound series, which the question…

Fiksēta ienākuma instrumentiASV tirgiUz notikumiem balstīta tirdzniecība
Quant Q&A

The document frames portfolio construction as minimizing variance, expressed with a covariance matrix and portfolio weights that sum to one. It asks how to add lower and upper limits on the weights when implementing a constrained minimum-variance problem,…

Portfeļa veidošanaRiska pārvaldība
Quant Q&A

The document proposes evaluating how well TIPS breakeven inflation rates correspond to inflation realized over the matching bond horizon. The breakeven measure is described as the yield difference between a nominal Treasury and a comparable TIPS. For…

Fiksēta ienākuma instrumentiStatistika
Quant Q&A

The document explains how put–call parity and strike-spread bounds can determine whether a one-year put with a strike of 100 is mispriced, given a call with a strike of 90, the stock price, and the risk-free rate. It derives the value of the 90-strike put…

OpcijasArbitrāžaAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document explains why using the same numerical volatility input in the Bachelier and Black–Scholes models can produce very different call prices. Although both models describe uncertainty in an underlying price, their volatility parameters use different…

OpcijasAtvasināto instrumentu cenu noteikšanaSvārstīgumsStatistika
Quant Q&A

The document uses the Brownian reflection principle to relate the terminal value of Brownian motion to its running maximum. On the specified region, where the barrier height exceeds the terminal-value threshold, reflecting paths at the barrier maps an event…

Statistika
Quant Q&A

The document frames a practical question about pricing resting buy and sell limit orders in a market making strategy for liquid futures. It asks which microstructure signals should influence quotes and raises portfolio valuation as a related concern. The…

Nākotnes līgumiTirgus veidošanaTirgus mikrostruktūraRīkojumu izpilde
Quant Q&A

The document explains how to transform a one-dimensional diffusion so its stochastic term has constant volatility. Starting from an SDE with state-dependent volatility, Itô’s lemma shows that applying a function multiplies the diffusion coefficient by the…

StatistikaSvārstīgums
Quant Q&A

The document surveys several approaches to modeling limit order books and market microstructure: agent-based models, point-process models, propagator models, and Markov-chain approaches such as the Queue Reactive model. It describes the strengths associated…

Tirgus mikrostruktūraAugstas frekvences tirdzniecībaMašīnmācīšanāsStatistika
Quant Q&A

The document points readers to research on estimating and forecasting volatility from very short-interval, tick-by-tick data. It highlights estimators designed to reduce distortion from market microstructure, along with work on realized variance, noise…

SvārstīgumsAugstas frekvences tirdzniecībaTirgus mikrostruktūraStatistika
Quant Q&A

The document explains how to interpret volatility forecasts from an ARMA-GARCH model. A GARCH equation produces a conditional variance, so taking its square root gives the corresponding conditional standard deviation, commonly called volatility. The key…

SvārstīgumsStatistikaRiska pārvaldība
Quant Q&A

The document answers a request for mathematically rigorous foreign-exchange modeling references that also reflect a practitioner quant perspective. Its recommendations focus on books about pricing FX options, modeling smile risk, and valuing structured…

Valūtu tirgusOpcijasAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document asks how to compare historical volatility estimates over nested windows using logarithms. It calculates each adjacent log change by subtracting the logarithm of the earlier estimate from that of the later estimate. Because the volatility…

SvārstīgumsStatistika
Quant Q&A

The document surveys ways to estimate which kinds of participants are active in a market, while noting that reliable high-frequency identification is difficult, especially in equities. Suggested sources and proxies include weekly futures positioning reports,…

Tirgus mikrostruktūraAugstas frekvences tirdzniecībaNākotnes līgumiAkcijas
Quant Q&A

The document considers how to calculate returns for a portfolio combining equities and credit, using an equity index and an investment-grade credit index as examples. It cautions that a credit default swap position does not have a meaningful return from…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaPortfeļa veidošana
Quant Q&A

The document explains how to extend the familiar Heston characteristic function for log price to the joint distribution of log price and variance at a future time. It first writes the model as a two-dimensional diffusion, using independent Brownian motions…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document addresses unexpectedly low beta estimates for stocks in the FTSE 100. It explains beta as the slope in a regression of a stock’s returns on benchmark returns: stock return is the dependent variable, and index return is the independent variable.…

AkcijasStatistikaRiska pārvaldībaASV tirgi
Quant Q&A

The document describes how agency mortgage-backed securities relate to their underlying loan pools and to broader market groupings. A single-pool security is tied to a defined set of loans, while aggregated products such as Mega, Giant, or Platinum pools…

Fiksēta ienākuma instrumentiASV tirgiTirgus mikrostruktūra