Adaptive model with Synapse and Metatrader interaction

We need help with creating an adaptive model in Peltarions software "Synapse", and have this interact with Metatrader through DLL's. The model will be based on data provided, where I personally will do the data mining, but we need help to set up an adaptive model that can train this data and have it interact with Metatrader. Synapse already have the DLL library, so the skill required here is simply an understanding of how DLL files work and how they are called from Metatrader. For the adaptive part, you need to have experience with neural networks and have done similar projects before. We will need suggestions of what kind of network to set up based on the data we provide in order to train this model. It's not a requirement that you must have used Synapse per see, it's enough with similar software since it's the theoretical part we need help with. More information about Synapse ca be found at: [login to view URL] In order for us to be sure you have the right knowledge, you will need to comment on how you would set up the following example model: We have a dataset describing the price of a technical good. The variables that after data mining that showed tendencies to explain the change in price was current technical level of the good, price of aluminum, price of electricity, time of year, inflation and unemployment. We are expecting to find two trends in the price changes with different lengths (one short term and one long term), and the data is provided as a time series. The goal is to project the price in a week or two. Without seeing the data an only knowing it's somewhat cyclical, how would you set up the model to train it with this data? This example only has a few similarities with our actual data/model, but will hopefully be proof enough that you know what you're doing. It's likely that we will revise this model and implement other models after this project, so we're looking for someone that we can work with on a continuous basis if we are satisfied with this project.