Actually I did not tried any EA compiler I can just understand what they are. I was lucky enough to find a good EA template that I could easily modify to suit specific needs. This EA template still requires knowledge of programming but my strategy ...

Wow I did not expect someone to investigate and find these courses without me bringing links! Absolutely, I can post it there, however idea of this post was about to discuss: Note: Please use this thread to discuss ideas of: learning computer and ...

In general I am using R to interact with MT4 and use h2o framework for deep learning capabilities... I have developed it by teaching 'Computer and data science using algorithmic trading' feel free to check the entire story on my website

I was just thinking to answer your question about scaling.. My message was that sometimes it's enough just to divide by the number... regarding my use case I am training neural network to use pattern of indicator to predict price change directly. ...

I am currently studying possible use of Neural Networks using MACD indicator to find a dominant pattern automatically. I found one simple way to do data scaling of that indicator. Basically I tried to divide indicator values coming from JPY by 100 ...

Absolutely, it's possible to try different hyperparameters of the network. This is what provided in h2o.deeplearning function: activation = c("Tanh", "TanhWithDropout", "Rectifier", "RectifierWithDropout", "Maxout", "MaxoutWithDropout"), loss = ...

Use indicator pattern as input and price change (shifted) as output. This can do both regression and classification but I saw experimentally that strategy tests are better using regression models I wrote a blog post about the method with more ...

I am not actually using price change as inputs. I am using indicator value [pattern] as an input to the network and lead value of price change as output to train the model. In theory this should mimic traditional mechanical systems that make use ...

Recently, mainly for work first I discovered use of Neural Network for anomaly detection. Principle is based on pattern recognition which I later applied for trading. Not sure if this type of discussion would be interesting for this thread. At least ...

Have you tried to predict price change directly? I am currently experimenting with neural networks and finding out that regression models are working better on the future datasets

In my personal opinion... the whole idea of forex trading is to 'predict future using the past data'. There are probably just two mechanical systems to automate that: Human Idea[captured from the screen pattern] -> Indicator[parameters] + fix ...

I wrote a blog about statistical control of trades including using RL to do so. url My implementation in trading is to use RL to supervise many standalone EA's and to let it choose the best ones. I tried it several times to finally realize that ...

This is a good question! I have created one and even teaching how to do that. However I am not sure about the rules here so I don't want to be banned from this forum by moderators My approximate path was: [U]MT4 side: learning intuition ...

So the best results are obtained using predictions on the daily charts? Sorry for asking such details - in my case I can generate predictions for next hour, day or week; but I am not really sure which predictions to use exactly. My initial idea was ...

Hi, I don't want to compete with what is done here, rather curious what others are doing to compare it with my own ideas. Above all my primary goal was to learn Data Science using trading to be able to practice and then apply learnings in real life ...