Finance

Summarizing earnings results, flagging unusual items, and audio review

Use AI to turn earnings documents and pasted data into plain-English summaries, highlight unusual changes or items to investigate further, and optionally generate audio versions for faster, hands-free review.

Why the human is still essential here

The investor must source the numbers themselves (e.g., filings/finance sites), validate any figures the model mentions, and decide what’s actually material to the thesis.

How people use this

Quarter-over-quarter variance narrative

Paste an income statement and cash flow snapshot into the model and have it write a brief QoQ narrative that highlights the biggest line-item swings to double-check in the filing.

ChatGPT (Advanced Data Analysis)

One-time items and margin anomaly checklist

Provide earnings release tables and ask the model to produce a checklist of potential one-time items (restructuring, impairments, tax impacts) and any margin anomalies worth investigating.

Claude

Spreadsheet-based outlier explanations

Use AI inside a spreadsheet to explain notable deviations in KPIs (e.g., gross margin, SBC, FCF) and suggest follow-up questions for management commentary.

Microsoft Excel Copilot

Earnings PDF to audio overview

Upload the quarterly earnings report PDF and generate a concise summary plus an audio overview to review the key points hands-free.

NotebookLM

Multi-document earnings pack recap

Add the earnings release, 10-Q, and call transcript as sources and produce a combined recap and Q&A, then listen to the audio output to triage what to read in full.

NotebookLM

Custom narrated brief from LLM summary

Generate a written earnings brief from source documents and convert it into a clean, listenable audio narration for quick review.

NotebookLM / ElevenLabs

Community stories (1)

I've been using ChatGPT for stock research during lunch breaks!

I started using ChatGPT for stock research about six months ago, mostly out of boredom between meetings. After a lot of trial and error, I've narrowed it down to a handful of prompts that consistently give useful output.

The most useful ones:

- Devil's advocate prompt — Tell ChatGPT to argue against a stock you're excited about. It's surprisingly good at poking holes when you explicitly ask for the bear case. Helped me avoid a couple of impulsive buys.

- Earnings report summarizer — Paste the key numbers from a quarterly report and ask it to explain them in plain English + flag what stands out. Saves a ton of time vs reading the full transcript.

- Competitive moat analysis — Using the 5 moat types (brand, switching costs, network effects, cost advantages, intangibles). Forces a structured evaluation instead of vibes.

The biggest lesson: ChatGPT is great for understanding stocks, terrible for predicting them (AI is not yet READY for that and I am not sure if it's ever going to be). It'll confidently give you wrong numbers too, so you absolutely have to verify everything against Yahoo Finance or SEC filings.

I wrote up all 10 prompts with examples and tips here if anyone wants the full list:

https://www.boredom-at-work.com/chatgpt-stock-research/

What prompts do you use ChatGPT for when it comes to finance or investing? Curious if anyone's found good ones I'm missing.

Bubbly_Ad_2071Retail investor

Mar 4, 2026