Self-trained MA cross! - page 8

Sergey Golubev
Moderator
120930
Sergey Golubev  

Forum on trading, automated trading systems and testing trading strategies

Levenberg-Marquardt algorithm

Sergey Golubev, 2017.09.19 10:09

and whole the links related to neural network - 

---------------

Neural Network

Neural Network: discussion/development threads

  1. Better NN EA development thread with indicators, pdf files and so on.
  2. Better NN EA final thread
  3. Neural Networks thread (good public discussion)
  4. How to build a NN-EA in MT4: usefull thread for developers.
  5. Radial Basis Network (RBN) - As Fit Filter For Price: the thread 

Neural Network: Indicators and systems development

  1. Self-trained MA cross!: development thread for new generation of the indicators
  2. Levenberg-Marquardt algorithm: development thread

Neural Network: EAs

  1. CyberiaTrader EA: discussion thread and EAs' thread.
  2. Self learning expert thread with EAs' files here.
  3. Artificial Intelligence EAs threads: How to "teach" and to use the AI ("neuron") EA thread and Artificial Intelligence thread
  4. Forex_NN_Expert EA and indicator thread.
  5. SpiNNaker - A Neural Network EA thread

Neural Network: The Books

  1. What to read and where to learn about Machine Learning (10 free books) - the post.

The article

CodeBase


Karvin
9
Karvin  

This is very interestin, I would like to contribute but I don't see where we are now. Do you get some results?

if you want a self learning EA we need neural networks or similar approach, a synthetic way to achieve smthg is post-maintein the EA and optimize it with a rolling fashion.

Regards

Sergey Golubev
Moderator
120930
Sergey Golubev  

Forum on trading, automated trading systems and testing trading strategies

How to start with MetaTrader and forex, the beginning

Sergey Golubev, 2021.02.08 16:30

Developing a self-adapting algorithm (Part I): Finding a basic pattern

Developing a self-adapting algorithm (Part I): Finding a basic pattern


Any trading algorithm is generally a tool which may bring profit to an experienced trader or instantly destroy a deposit of an inexperienced one. The issue of creating a profitable and reliable algorithm is that we cannot understand what needs to be done in order to earn money and what methods are used by "successful traders". While HFT, arbitrage, option strategies and calendar spread-based systems boast a solid theoretical basis clearly stating what needs to be done to make profit, the algorithms based on price analysis and fundamental data are much more ambiguous. This area has no full-fledged theoretical basis that would describe pricing making it extremely difficult to create a stable trading algorithm. Trading turns into art here, while science helps systematizing everything.

But is it possible to create a fully automated trading algorithm based only on the analysis of price changes working on any trading instrument without optimization and with no need to manually adjust parameters for each trading instrument separately? Is there an algorithm you can simply apply to a necessary trading instrument chart so that it immediately defines profitable parameters for it? 



Sergey Golubev
Moderator
120930
Sergey Golubev  

Forum on trading, automated trading systems and testing trading strategies

How to start with MetaTrader and forex, the beginning

Sergey Golubev, 2021.02.19 18:08

Developing a self-adapting algorithm (Part II): Improving efficiency 

Developing a self-adapting algorithm (Part II): Improving efficiency

Before reading this article, I recommend that you study the first article "Developing a self-adapting algorithm (Part I): Finding a basic pattern". This is not necessary, since the main point will still be clear, but reading will be more interesting.

In the previous article, I detected a simple pattern and developed a very simple algorithm that exploits it. But the algorithm has no flexible structure, and it makes no sense to expect any outstanding results from it.

We need to greatly improve it so that it becomes more flexible and adjusts its operation parameters depending on the market situation so that it is possible to achieve better results and stability.