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Data science: Based on crypto historical data we would like to predict where is the Best moment to buy crypto or sell. We could test algoritm on for example Etherium crypto then apply it to rest of crypto curriencies. Following task can be split for steps: 1. Find where data can be retrieved(free api or other method like scrapping) We can Focus on value in each day and/or hour. 2. Create algoritm based on known data science Methods, some existing library can be used. (Like neural Networks, linear Regression etc) 3. As output we do prediction for future And Stored in database. 4. Output is later validated, calculating accuracy. 5. Accuracy should be higher than 60%, close to 100% would be perfect. I recommend to use Java for that, but if you feel better in for example Python or other lan...