Estimate Analysis
Go deeper than a single consensus number: estimate ranges and dispersion, revision trends over 7 to 90 days, up and down revision breadth, and growth versus industry, sector, and the S&P 500.
- What
- Go deeper than a single consensus number: estimate ranges and dispersion, revision trends over 7 to 90 days, up and down revision breadth, and growth versus industry, sector, and the S&P 500.
- Cost
- Free
- Needs
- Use "Estimate Analysis" with your Muse.
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
⚠️ **Trading warning / Avertissement trading** : informational only, not investment advice. Estimate revisions are a signal about expectations, not a guarantee of future results. Curated by Skill Harbor: a deep dive into analyst estimates and, above all, into how they are moving. It presents the current EPS and revenue consensus for every available period (current quarter, next quarter, current year, next year) with the low and high range, the range width as a share of consensus, and the analyst count, then tracks the revision trend: each period's estimate today versus 7, 30, 60, and 90 days ago, with attention to whether the recent moves are accelerating. It counts revision breadth (how many analysts raised versus cut, and the up ratio), compares expected growth with the industry, the sector, and the S&P 500, and grades the estimates themselves against the last four quarters of actual results, because a consensus with a poor track record deserves less trust. Routes run from a narrow question (just the revision trend) to the full picture. Data comes from Yahoo Finance through the free yfinance library. From the himself65/finance-skills repository (MIT). Honest caveats: you need Python 3 with pip (the skill installs yfinance itself if missing); Yahoo Finance estimates can lag professional real-time consensus feeds by hours or days; estimates cluster around the consensus, so real outcomes scatter wider than the low to high range suggests; next-year estimates are the least reliable, and a single guidance change can reverse a revision trend overnight. Skill Harbor never reviews the code, review it yourself before use.
Version:
Install
Copy the install package below, then paste it into MuseThe install prompt below already includes the vetting steps: your agent follows the community checklist before installing anything with executable code. Want more?
Use "Estimate Analysis" with your Muse. Prerequisites: Python 3 with pip and an agent that can run Python code. The skill installs yfinance itself if it is missing. No API key and no paid data subscription are required; the data comes from Yahoo Finance via the free yfinance library. 1. Open the skill: https://github.com/himself65/finance-skills/blob/main/plugins/market-analysis/skills/estimate-analysis/SKILL.md and copy the full SKILL.md text (the skill also reads its included references/api_reference.md, keep the repo folder handy). 2. Paste it into a chat with Muse and add: "Analyze the analyst estimates for [TICKER]: consensus by period, how revisions have trended over the last 90 days, the up versus down revision breadth, and how reliable this consensus has been." 3. Weigh the trend more than the level: a mediocre consensus that keeps rising usually says more than a high one that keeps slipping. Tip: ask only for the sections you need (for example "just the revision trend and breadth") when you are checking a name quickly. Safety: a skill is plain-text instructions; it runs nothing by itself. This is informational only, not investment advice.
Saved to your recent installs. Find it anytime on /connect.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.