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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
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SuperMind
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OKX Learn
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Strategy library
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MQL5 code base
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BigQuant
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Bitget Academy
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MQL5 articles
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TradingView scripts
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ProRealCode
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Deribit Insights
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Machine Learning for Trading
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arXiv papers
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Amberdata research
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FMZ forum
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FMZ digest
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vn.py community
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QuantInsti blog
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Galaxy Research
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QuantStart
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Stratmill research code
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Robot Wealth
Dokumentu skaits: 195
NautilusTrader
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Hummingbot docs
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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
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Binance API docs
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Quantopian lekcijas
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FMZ guides
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pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
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quant-trading
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FinRL
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Zipline
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FMZ live strategies
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Jesse
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pyfolio
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Alphalens
Dokumentu skaits: 14
WonderTrader
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backtesting.py
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Technical Analysis
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QTPyLib
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QuantRocket
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Lumibot strategies
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Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 20,364

Quant Q&A

This exchange considers how the Avellaneda–Stoikov reservation price responds to a stock's price scale and an inventory measured in shares. The question compares a stock before and after a large share consolidation, where the share price and volatility per…

AkcijasTirgus veidošanaTirgus mikrostruktūraSvārstīgums
Quant Q&A

This discussion compares Monte Carlo simulation with analytical, partial differential equation, and numerical integration methods for option pricing. Monte Carlo is useful when the model lacks a tractable solution, payoffs depend strongly on the price path,…

OpcijasAtvasināto instrumentu cenu noteikšanaStatistikaRiska pārvaldība
Quant Q&A

The document derives the solution to a geometric Brownian motion whose drift and volatility vary with time. Applying Itô's lemma to the logarithm of the asset price produces a drift term adjusted by half the instantaneous variance, alongside a stochastic…

AkcijasStatistikaAtvasināto instrumentu cenu noteikšana
Quant Q&A

This discussion explains how to estimate annualized volatility from a sequence of weekly stock prices. The method is to calculate consecutive log returns, find their sample standard deviation to estimate weekly volatility, then scale it by the square root of…

AkcijasSvārstīgumsStatistika
Quant Q&A

The document considers whether a backtest with 50 trades and a 60% win rate reflects skill or chance. It argues that repeatedly comparing the observed result with randomly generated strategies does not, by itself, establish a false-positive probability. A…

Vēsturisko datu pārbaudeStatistikaRiska pārvaldība
Quant Q&A

The document addresses how to choose a threshold for volume-based sampling bars, in response to a question about setting the dollar value for dollar bars. The suggested approach uses a rolling average of recent volume to set a target sampling frequency:…

Tirgus mikrostruktūraAkcijasStatistika
Quant Q&A

Bootstrapping a yield curve from market instruments produces discount factors or zero rates at the instruments’ maturities. These observed maturities are curve nodes; they do not by themselves specify values at every date. An interpolation method fills in…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document outlines how extreme value theory can estimate tail risk, especially for a portfolio of long and short stock options. It recommends the peak-over-threshold approach: select sufficiently extreme losses, fit a Generalized Pareto Distribution, and…

OpcijasRiska pārvaldībaStatistika
Quant Q&A

The document asks how to implement time-shifted power-law kernels used in a path-dependent volatility model. The model forms volatility from a baseline plus weighted past returns and weighted squared returns. Separate kernels assign the lag-dependent weights…

SvārstīgumsStatistikaMašīnmācīšanāsAtvasināto instrumentu cenu noteikšana
Quant Q&A

The discussion addresses a regression intended to explain gold using the VIX, the EUR/USD exchange rate, and a US real-rate index. The model uses ridge regression because its author selected a small, theory-informed set of factors, yet reports an adjusted…

IzejvielasFaktoru ieguldīšanaStatistikaMašīnmācīšanās
Quant Q&A

The discussion explains how a local-volatility model relates an implied-volatility surface to an instantaneous volatility function of spot and time. Its central clarification is that local volatility is calibrated from the current implied surface; if that…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The discussion considers how to make markets in assets with sparse trading, few resting orders, limited participants, high volatility, and wide spreads. Suggested price-discovery inputs include researching who holds the asset, identifying historical buyers…

Tirgus veidošanaTirgus mikrostruktūraRiska pārvaldībaRīkojumu izpilde
Quant Q&A

The document asks how to search for predictive relationships between a target series and many candidate variables. Its example is an inverted, three-month-delayed variable that appears to lead stock prices, and the proposed application is predicting future…

AkcijasStatistikaMašīnmācīšanāsVēsturisko datu pārbaude
Quant Q&A

The document explains the one-period binomial model’s no-arbitrage condition by comparing the stock’s up and down factors with the risk-free growth factor. If the stock’s return in both states is no better than the risk-free asset, shorting stock to buy the…

AkcijasArbitrāžaAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document frames a one-month portfolio problem involving cash, a stock, and a six-month European put. Returns are evaluated under the physical measure, but the option’s future market value depends on risk-neutral pricing. The author explains why valuing…

OpcijasPortfeļa veidošanaAtvasināto instrumentu cenu noteikšanaSvārstīgums
Quant Q&A

The document asks whether hedging strategies should be compared using the absolute values of their errors or the squared errors. One response favors squared-error summability, noting that it is a weaker requirement than absolute summability and that squaring…

Riska pārvaldībaAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document considers ways to investigate fractal behavior and harmonic patterns in stock time series, with the broader aim of building trading systems. Its concrete suggestion is to fit a Daubechies wavelet and examine coefficients across scales at a fixed…

AkcijasStatistikaTehniskie indikatoriMašīnmācīšanās
Quant Q&A

The document explains how state prices and a stochastic discount factor express the same pricing rule in different forms. In a discrete set of possible future states, a state price is the current price of a claim paying one unit only in a particular state.…

Atvasināto instrumentu cenu noteikšanaStatistikaArbitrāža
Quant Q&A

The document compares minimizing portfolio variance for a specified expected return with maximizing expected return at a specified variance, while also requiring weights to sum to one. It derives a candidate solution for the unconstrained version of the…

Portfeļa veidošanaRiska pārvaldībaStatistika
Quant Q&A

The document asks how to price an Arrow security that pays one unit if a specified event occurs at a future date. It frames the question through the stochastic discount factor: the current value is expressed as the expected product of that factor and the…

Atvasināto instrumentu cenu noteikšanaStatistikaFiksēta ienākuma instrumenti
Quant Q&A

The document concerns Greeks for the Bachelier model, which assumes normally distributed price changes. The author says delta, vega, and gamma are straightforward to derive, then focuses on deriving rho and theta when the interest rate is nonzero. They…

OpcijasAtvasināto instrumentu cenu noteikšanaSvārstīgums
Quant Q&A

The document introduces a diffusion model that can interpolate between arithmetic Brownian motion and geometric Brownian motion. In the proposed stochastic differential equation, the diffusion term is proportional to the state raised to a power γ. Setting γ…

Atvasināto instrumentu cenu noteikšanaStatistikaOpcijas
Quant Q&A

The document explains how the Stochastic Volatility Inspired (SVI) parameterization can represent implied total variance across option strikes. Its formula describes a smile using five parameters: a level, slope scale, skew, horizontal shift, and curvature…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document discusses adding an explicit high- or low-volatility regime to a Fama–French regression for a stock portfolio. The proposed research question is whether a manager’s factor exposures differ by regime, such as favoring quality during high…

Faktoru ieguldīšanaSvārstīgumsStatistikaAkcijas