Yes I meant that. I find very interesting how some trade algorithms are using deep learning to extract features form news apart from the variables you mentione

Yes I meant that. I find very interesting how some trade algorithms are using deep learning to extract features form news apart from the variables you mentioned. About the search, in case you are interested. You have the basic tree search, then you have A* (a-start) which uses an heuristic to decide which is the next node to expand (very used in path finding in games, where the heuristic is the euclidean distance to the target point). For games you use a search where in one state you maximize the heuristic (your move) and in the next one you minimize it (your opponent move) (sorry I don't remember the name). And monte carlo tree search what it does is to no evaluate some states, it just do some random moves and evaluates the final state, this way it tries to improve the exploration/exploitation of the search (and works pretty well).