Doing stuff I almost know. Collecting historical stock market data from the Oslo Stock Exchange and tangle with some prediction and machine learning algorithms.

Step 1. Collect data. Will be done using historical data updated at my own convenience.

Step 2. Send data to a DB (SQL) for storage

Step 3. Do something cool with the data in SQL or maybe do something cool with the data in Python reading from the DB.

Step 4. Profit?

Step 5. Applies to all steps: Learn stuff.

Disclaimers:

AKA DO NOT BE STUPID. This is fun project where my main objective is to learn stuff. This is not a project aimed at giving you any investment advice. Any actions made because of this project or use of this data is at your own right and the creator nor any contributors are to be held accountable.

Please  remember  that  past  performance  may  not  be  indicative  of  future  results.  Different  types  of  investments involve varying degrees of risk, and there can be no assurance that the future performance  of any specific investment, investment strategy, or product made reference to directly or indirectly in this  project, will be profitable, equal any corresponding indicated historical performance level(s),  or be suitable for your portfolio. Due to various factors, including changing market conditions, the content  may no longer be reflective of current opinions or positions. Moreover, you should not assume that any  discussion or information contained in this project serves as the receipt of, or as a substitute  for,  personalized  investment  advice. To  the  extent  that  a  viewer/contributor  has  any  questions regarding the applicability of any specific financial issue to his/her individual situation,  he/she is encouraged to consult with the professional advisor of his/her choosing.