We continue the theme of environmental exploration in reinforcement learning. In previous articles within this series, we have already looked at algorithms for exploring the environment through curiosity and disagreement in an ensemble of models. Both approaches exploited intrinsic rewards to motivate the agent to perform different actions in similar situations while exploring new areas. But the problem is that the intrinsic reward decreases as the environment gets better explored. In complex cases ...
Multi-currency Expert Advisor is an Expert Advisor or trading robot that can trade (open orders, close orders and manage orders, for example: Trailing Stop Loss and Trailing Profit) for more than 1 symbol pair from only one symbol chart, where in this article Expert Advisor will trade for 30 pairs. In this article we will use two RSI indicators with crossing signals, Fast RSI crossing with Slow RSI. As has been proven in previous articles, we all know that multi-currency trading ...
The article continues the topic of ready-made templates for using indicators in EAs. We have already considered the templates for connecting oscillators and volume and Bill Williams' indicators to EAs. Here we will look at connecting to EAs and using trend indicators. As in the previous articles, we will display the data received from indicators on the dashboard created in the first article of this series. The article will not differ in any way from ...
Financial markets generate data with a huge amount of complex relationships. To analyze them, we need to use the most modern methods of applied mathematics. Successfully combining the high complexity of financial data with the simplicity and efficiency of analysis is a challenging task. ALGLIB is a high-performance library designed specifically for working with numerical methods and data analysis algorithms. It is a reliable assistant in the analysis of financial markets. more...
In the previous article, we used two ONNX models to arrange the voting classifier. The entire source text was organized as a single MQ5 file. The entire code was divided into functions. But what if we try to swap models? Or add another model? The original text will become even bigger. Let's try the object-oriented approach. more...