Skip to content
AI College Prep Academy

Pre-Finance / Business Track · Inaugural Summer 2028

Senior engineer-led · Practicing PhDs co-teach · Selective admissions

Build the analyst AI agent the next generation of investment professionals will keep on their desk their first day.

Capstone agent · Build analyst AI.
I built an AI agent that pulls 10-Ks, computes financial ratios, and surfaces management's framing changes.

High school students at a multi-monitor analyst desk reading a 10-K filing, working on a financial AI agent

What your child will build

The 10-K analyst agent

An agentic system that ingests a public company's annual filings, computes the financial ratios analysts actually run, surfaces year-over-year management framing changes, and produces a one-page investment memo for a portfolio manager.

Claude APIEDGAR API ingestionpgvector (filing corpus)StreamlitVercel deploy

What it does

  • Pulls 10-K filings directly from EDGAR for any public ticker
  • Parses MD&A, risk factors, and financial statements into structured sections
  • Computes liquidity, leverage, profitability, and efficiency ratios
  • Diffs management framing year over year — what tone shifted and where
  • Surfaces undisclosed risks by cross-referencing peer filings
  • Produces a one-page memo with thesis, ratios, framing changes, and risk callouts
Finance analyst archetype (sample profile) — Practicing analyst · Booth / Kellogg alumni network, AI College Prep Academy Pre-Finance / Business co-teaching faculty (sample profile)

Co-Teaching Faculty

Finance analyst archetype (sample profile)

Practicing analyst · Booth / Kellogg alumni network

Our pre-finance track is co-taught by a working analyst — recruited from the Booth, Kellogg, and broader regional finance ecosystem (sell-side research, buy-side equity, or M&A advisory) — alongside a senior software engineer. Your child learns from an analyst who has lived inside the 10-K-to-memo workflow, and who can articulate what a portfolio manager actually wants on their desk before a meeting. The mentor relationship continues past the program: pre-finance students who perform well receive a personal letter of recommendation and direct introductions into the broader practitioner network.

Students leave understanding why a memo's first paragraph matters more than its tenth — and how to spot a tone shift in management commentary.

Curriculum Deep-Dive

Week 2 — Financial AI deep-dive

The pre-finance cohort splits off from the shared Week 1 foundations and works directly with the analyst on filing structure, ratio computation, and the framing-change pattern recognition that turns reports into memos.

  • EDGAR ingestion and 10-K structural parsing — pulling MD&A, risk factors, and statements
  • Ratio computation — liquidity, leverage, profitability, efficiency, and the ones that matter for the company's industry
  • Year-over-year management framing diff — detecting tone shifts in MD&A and earnings calls
  • Peer-comparable analysis — cross-referencing risk factors across an industry
  • Hands-on architecture review with the analyst: hallucination control on numerics, citation grounding
  • Capstone scoping: pick a real public company, write the analyst spec, agree on an evaluation rubric

Week 1 foundations are shared across all 5 tracksWeek 3 builds + admissions coaching

Sample student work

What your child could build.

Sample capstone projects illustrating the scope of Pre-Finance / Business work. Inaugural cohort is Summer 2028 — these are not real-alumni outcomes.

Sample student work — James W. (rising 12th)

Year-over-year MD&A framing diff agent

Built an agent that compares two consecutive 10-Ks for the same company, surfaces material tone shifts in management's discussion, and produces a one-page memo for a portfolio manager.

Claude + EDGAR + pgvector + Streamlit

Sample student work — Sophie L. (rising 11th)

Sector ratio dashboard agent

Built an agent that pulls 10-Ks for the top five companies in a sector, computes industry-relevant ratios, and produces a comparable-company table with framing notes for an analyst's first meeting.

Claude + LangGraph + Postgres + Next.js

Why this track wins for admissions

A capstone an admissions reader can verify.

An admissions reader at a top pre-business university — Wharton, Stern, Booth early entry, MIT Sloan early route — is looking for the rare applicant who has done more than win a stock-pitch competition. Most strong pre-finance applicants present DECA wins, finance-club leadership, and trading-game performance — all important, all common. Far fewer can sit across from an interviewer and discuss the design tradeoffs in 10-K automation, the discipline of grounding numerical claims in source filings, or what a portfolio manager actually scans first in an analyst memo. Your child finishes the program with a working 10-K analyst agent at a personal URL, an architecture writeup an admissions reader can verify, and a Common App essay built around the project — a piece of writing that makes their interest in finance specific, technical, and verifiably their own.

Talk through your child’s admissions strategy
College admissions counselor reviewing a college essay draft with a high school student in a warm advisor's office

Pre-Finance / Business FAQ

Track-specific questions from parents.

Pre-Finance / Business · Selective by design

Ready to give your child the agentic-analyst ai. advantage?

Selective admissions. We expect a 40 to 60 percent admit rate. Rolling applications through Spring 2028.