Machine learning in trading: theory, models, practice and algo-trading - page 1565

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Mihail Marchukajtes:
I'm deflated :-(
Everybody is deflated. Don't worry.
The market is SB.
 
elibrarius:
The market is the SB.

not quite

Исследование сезонных характеристик финансовых временных рядов при помощи диаграмм Boxplot
Исследование сезонных характеристик финансовых временных рядов при помощи диаграмм Boxplot
  • www.mql5.com
В 2013 году Юджин Фама стал лауреатом нобелевской премии по экономике, разработавший гипотезу эффективного рынка. Данная гипотеза подразумевает, что вся существенная информация сразу и полностью отражается на рынках ценных бумаг. В этом случае ни один из участников рынка не имеет преимуществ над другими.  Впрочем, эта гипотеза имеет некоторые...
 

Financial Time Series Forecasting with MLP in Keras
Прогнозирование финансовых временных рядов с MLP в Keras
Прогнозирование финансовых временных рядов с MLP в Keras
  • habr.com
Всем привет! В этой статье я хочу рассказать про базовый пайплайн в прогнозировании временных рядов с помощью нейронных сетей, в данном случае, наверное, с самыми сложными временными рядами для анализа — финансовыми данными, которые имеют случайную природу, и, казалось бы, непредсказуемые. Или все-таки нет? Вступление Я сейчас учусь на...
 
if anyone has not yet seen this code book (python, tspp)https://www.quantstart.com/successful-algorithmic-trading-ebook-and-source/final-release/ef18d3c9aa
Successful Algorithmic Trading - Download the ebook and source code | QuantStart
  • www.quantstart.com
Algorithmic trading strategies, backtesting and implementation with C++, Python and pandas.
 
Maxim Dmitrievsky:

I have more followers than a stochastic expert.

It's a hodgepodge of stuff.

Here's a good econometrics handbook

https://otexts.com/fpp2/

Forecasting: Principles and Practice
Forecasting: Principles and Practice
  • otexts.com
Welcome to our online textbook on forecasting. This textbook is intended to provide a comprehensive introduction to forecasting methods and to present enough information about each method for readers to be able to use them sensibly. We don’t attempt to give a thorough discussion of the theoretical details behind each method, although the...
 
Maxim Dmitrievsky:

It's a hodgepodge of stuff.

Here's a good econometrics handbook

https://otexts.com/fpp2/

Another good book on econometrics. Also with R and also made by means of Rbookdown package.

Introduction to Econometrics with R
Introduction to Econometrics with R
  • Christoph Hanck, Martin Arnold, Alexander Gerber and Martin Schmelzer
  • www.econometrics-with-r.org
Beginners with little background in statistics and econometrics often have a hard time understanding the benefits of having programming skills for learning and applying Econometrics. ‘Introduction to Econometrics with R’ is an interactive companion to the well-received textbook ‘Introduction to Econometrics’ by James H. Stock and Mark W. Watson (2015). It gives a gentle introduction to the essentials of R programming and guides students in implementing the empirical applications presented throughout the textbook using the newly aquired skills. This is supported by interactive programming exercises generated with DataCamp Light and integration of interactive visualizations of central concepts which are based on the flexible JavaScript library D3.js.
 
Aleksey Nikolayev:

Another good book on econometrics. Also using R and also made with the R bookdown package.

Yes, it is good. There is a special lib for pythonhttps://www.statsmodels.org/devel/index.html

Introduction¶
  • www.statsmodels.org
is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. An extensive list of result statistics are available for each estimator. The results are tested against existing statistical packages to ensure that they...
 
What did Reshetov do?
 
teaching our offspring
 
If anyone remembers, somewhere in this thread flashed code for P, which made the distribution of unsteady BP normal
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