The goal of this project is to develop a centralized market-intelligence platform that transforms large volumes of real-time and historical market data into clear, actionable insights. By combining machine learning, technical indicators, and candlestick-pattern analysis, the platform aims to help traders identify potential opportunities more efficiently, compare market conditions across multiple assets and timeframes, and make better-informed trading decisions.
Determining whether residential solar panel investments are financially viable across Europe by analyzing electricity prices, installation costs, and regional ROI. Identifies the most profitable markets for solar adoption
Tech stack – Python · PostgreSQL · SQL · Power BI · DAX
As my previous project is not usable for collecting data as expected, because I made the script make way too many requests I decided to try to do the same using the Binance API. With this API the limit of my requests can be much higher, so seems like it is worth a shot.
Importing data, Excel CONCAT function, power query, data modeling, DAX, dashboard creation, filters and slicers, visualizations (donut chart, column charts, map charts, tree map, bar charts, matrix), drill down