Discussing the article: "Employing Game Theory Approaches in Trading Algorithms"
Tsetlin Machine is also interesting for small data but less known: https: //github.com/cair/TsetlinMachine
https://www.literal-labs.ai/tsetlin-machines/ but I find it difficult to implement.
- cair
- github.com
Tsetlin Machine is also interesting for small data but less well known: https: //github.com/cair/TsetlinMachine
https://www.literal-labs.ai/tsetlin-machines/ but I find it difficult to implement.
Original thing, I am overflowing with delight as from an object of art, thank you :) But it is desirable to test it on real ticks, because it is shallow with deals.
Greetings, I am very interested in your project, but I am new to this field. I can't understand how to run the Expert Advisor in the strategy tester. As I understand it is impossible to fully configure and train it through the tester? Or am I doing something wrong? I would be grateful for the OS
Where I have relatives in the Netherlands from? 👀
Ahahahahah, not in the Netherlands)))) VPN is such a thing)))))
PS: bottom line in the strategy tester is it possible to run training or not? According to the balance chart screenshot it's a strategy tester, but whatever I do I don't even get close to + in it
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Check out the new article: Employing Game Theory Approaches in Trading Algorithms.
In conditions where the speed of decision-making is critical and the market is characterized by a high degree of uncertainty, a different approach to creating trading systems is required. AdaptiveQ Enhanced is a trading Expert Advisor developed based on deep reinforcement learning (DQN) methods, game theory, and causal analysis.
The Expert Advisor analyzes the market by modeling 531,441 unique states, taking into account interrelationships between the seven major currency pairs. The key element of the algorithm is the Nash equilibrium, which is used to select the optimal strategy under conditions of mutual influence of symbols.
The article examines practical implementation of these approaches in MQL5 and demonstrates how the combination of adaptive learning, game theory and AI allows you to build more accurate and sustainable trading strategies.
Author: Yevgeniy Koshtenko