finance-watcher

Automate subscription detection from banking transactions by importing CSV files or banking API data into the watcher. The Skill analyzes recurring transaction patterns to identify subscriptions and logs them automatically.

Flag unusual transactions in a CSV file by processing the data through the financial monitoring scripts. The framework detects large or abnormal transactions and alerts you for auditing purposes.

Yes, you need Python and the BaseWatcher framework to monitor banking API data. The Skill depends on this foundation to process API inputs, analyze transactions, and generate financial summaries.

Yes, you can generate weekly financial summaries and expense tracking reports automatically. The Skill processes your logged banking transactions to produce comprehensive financial records without manual effort.

The best way to track recurring expenses for personal finance management is using an automated watcher framework. It continuously monitors transaction data, detects subscription patterns, and maintains your expense records.

Limitations when using pandas and watchdog for transaction monitoring include relying on structured CSV formats or compatible banking APIs. The framework requires proper Python environment setup to execute the monitoring scripts effectively.