Price Prediction Model - Python/R Tensorflow

Looking to build a model that gives a daily price prediction for 2 stocks using tensorflow and python or R. The two stocks we wish to predict are SQQQ and TQQQ on the NASDAQ. At 10.00pm Sydney time each night I want a direction prediction and a price prediction for both SQQQ & TQQQ. They are 3x leveraged ETFs which are driven by the change in the stock QQQ which is an ETF that represents the NASDAQ top 100 stocks. The 100 stocks form the NASDAQ-100 which is an index based on the weighted contribution of each of the 100 stocks market cap (the total value of the number of stocks issued x price) Changes in price and volume of each of the 100 will have a certain effect on the price of QQQ My hypothesis is that SQQQ and TQQQ are lagging behind QQQ as they are a few steps removed from the source and the leverage is created by using options, the market takes time to adjust the price of SQQQ and TQQQ to catch up to the underlying stocks. Effectively the change in SQQQ and TQQQ is driven by QQQ which is driven by the change and volume of 100 stocks prices. Change in price and volume in individual stocks are important predictors of QQQ, other interesting data includes the % of short sales for each stock (this is when speculators bet that the stock is going to drop in price, higher % of short sales indicates the markets feel strongly the stock is going to drop in price) Your job is to predict the next days price for the SQQQ and TQQQ We have access to historical data on each of the stocks Regular work improving the model will be available for the successful freelancer who can deliver a working model. Possible profit share available if this turns into a successful partnership. Terms - - You must commit all work to github & update your progress to me via Slack DAILY - You must display the 100 stocks and their increase/decrease (green/red color coded) and the predicted direction for SQQQ and TQQQ and the price prediction - By bidding you agree to assign all copyright in your work to me. -Please provide one example of your algo or tensorflow work Autobids will be deleted Data sources [login to view URL] [login to view URL] [login to view URL] (note stocks are added or removed based on the change of their value a few times a year, your model should change the stocks on the day that they are added or removed from the index