Realization on Python\Django. The base – PostgreSQL. The special thing about the project is that the data(about 10-12 mln records) is monthly loaded in the database, then processed, accounted and withdrawn on the resource pages as tables, charts and maps. Promptitude is accomplished by data caching(Redis, memcached). Also some data is updated automatically every 30 minutes by parsing from american exchange.