Finance with Christopher A.

Learn the main details behind market driving data, commodities, FTX, stocks, and bonds. Understand the balance between these main components in an existing environment and understanding the meaning of their movement. We use code to analyze data faster, learn how to organize information, and parse it for graphical observation. Learn how to use Seasonality (Daily,Weekly,Monthly,Yearly) with Numpy and pandas! In this course the main players are Python, SQL, and Excel, using all three of these beasts one can collect, parse, and analyze data in countless ways that can help visualize personal finance or trading data in the same set of code. These courses are perfect for Traders of all types from market, commodity, fiat, and crypto. Also great for data analysts wanting to optimize personal finances for small, medium, and large companies. We focus on creating a few personal tools: -Python +Pandas +matlab +yfinance +os +shutil +other python libraries +sklearn + -SQL +Server +Workbench +Code Access and Management -Excel +Manage Data +Dashboard Interface +CSV/XSLX Management With the above, we analyze different forms of strategies including Seasonality, Data Parsing and Manipulation, Data storage and retrieval, and AI optimization. Further levels included with higher mathematical difficulty including Markowitz Analysis for Risk/Reward and Portfolio optimization with tests.