Hey, Hey, Hey Im searching for helping hands on a machine learning daytrading project. I want to try to create a daytrading algorithm based on reinforcement learning and dqn(the algorithm used for alphago) So the idea is to put in historical data and the program tests over and over again new strategies while maximizing ev. I want to use the openai framework gym, python and coffee. I created an experiment where the bot can buy, sell, do nothing and request 2 other stocks for intermarket analysis. The bot gets the day chart and time and so has to work on the chart. On the end of the day the positions get closed and the winnings are calculated and summed to total score. I dont have experience on deep nets. Someone with knowledge here would be a real help. First i would try to start with a convolutional net to detect combined patterns for example top + top same level = dopple top So bot is done too but not tested so far. I dont really expect it to work. But if not the project could be used to rank the chart of a stock to help with decision making. My main problem is i am too lazy So im searching for motivating people. If someone is interested i would put this project on git.