Automate Financial Analysis with the Snake Method

SNAKE Method: From Raw Financial Data to Executive Reports in Minutes | Python + AI Pipeline Ever spent days going back and forth between Python, spreadsheets, and ChatGPT just to produce one financial report? Copy-pasting tables, fixing formatting, generating narratives piece by piece — only to end up with a patchwork no auditor would trust? In this video, I show you a better way. The SNAKE method (Source, Notebook, Analysis, Knowledge, Execution) defines your entire financial analysis before a single line of code runs. Combined with the SNAKE Agent Prompt Generator — a tool I built to make this accessible to non-developers — you can go from raw data to dashboards, charts, forecasting, and executive narratives in one automated pipeline. What you'll learn: 00:00 — The problem with current financial analysis workflows 00:20 — Introducing the SNAKE method 01:05 — Walkthrough of the SNAKE Agent Prompt Generator 03:18 — Generating and running the notebook in Google Colab 04:12 — Output review: dashboards, charts, and expense reports 04:32 — Why this matters for regulated industries (EU AI Act) Key features covered: — Expense analysis, revenue reporting, and custom templates — Statistical methods, enrichment steps, and forecasting — Automated chart generation (comparison, trends, variance, composition) — Executive narratives written by AI in the right tone — Built-in error handling for common data issues — Outputs: Markdown reports, HTML dashboards, statistical summaries Who is this for? Controllers, financial analysts, FP&A teams, and anyone in finance who wants reproducible, audit-ready analysis without being a Python expert. One prompt. One pipeline. Executive-ready results. Join the AI Finance Club: https://nicolasboucher.online/?aff=208 Join us at the AI Finance Accelerator Program: https://nicolasboucher.online/sp/ai-finance-accelerator/?aff=208 Get the Snake Agent Prompt Generator: https://aiinfinance.kit.com/ea8f319a26