Hey there, fellow traders! Wishing all the best of luck to everyone participating in the Championship!
While I’ve been dabbling in programming for quite some time, I’m still a newbie in this vibrant community of financial analysis software creators. I’m really looking forward to engaging in some constructive discussions. Feel free to share your thoughts—whether they’re compliments (always welcome!) or constructive criticism (as long as it’s on point).
Today, I’m excited to share my first EA from the series “MTS Based on Neural Networks”.
I’d like to extend a huge thanks to Yuriy Reshetov. His publications on this site were instrumental in helping me apply neural network theory to develop this MTS.
If you're not yet familiar with neural networks, I recommend checking out this article: Learn about Neural Networks.
For an in-depth look at how to implement and train a double-layer neural network, you can refer to this excellent resource: Double-layer Neural Network Tutorial.
Now, let’s get to the nitty-gritty. What I’m presenting here is the “engine” or the “skeleton” of the MTS. Its functionality can be enhanced by integrating different indicators or even a combination of them instead of just relying on MACD. You can also optimize these indicators further as needed. However, the key takeaway is not to let the signals from the neural network and the indicator contradict each other (if the neural network gives a neutral signal, then lean on the indicator). Instead, focus on using both in tandem to assess the opportunity for opening a position.
P.S. From my experience, trading on the H1 timeframe with major currency pairs yields the best results. But don’t hesitate to experiment and find your own “holy grail”!
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