Binance USDT Transaction Analysis

I need a clear, data-driven picture of every USDT move in my Binance account. Your task is strictly data analysis and reporting: fetch my complete transaction history through the official Binance API, clean and consolidate the raw records, then surface the insights that actually matter—volumes in and out, average buy/sell prices, fees, net P&L, and any notable patterns you can spot.

Please work in Python (pandas, matplotlib or similar) so I can rerun the notebook whenever I export new statements. SQL is fine for intermediate storage if it makes your life easier. Accuracy and reproducibility are more important than flashy visuals; I mainly want numbers I can trust and a script I can maintain.

Deliverables
• A well-commented Python notebook (or script) that authenticates with the Binance API, downloads the USDT transaction history, and outputs the cleaned dataset.
• A concise report—PDF or HTML—summarising key metrics and your observations. Include any charts you feel strengthen the narrative.
• A brief README explaining setup, required libraries, and how to update the analysis with fresh data.

If you have experience auditing exchange statements or building crypto dashboards, let me know; otherwise a solid data analytics background is perfect.