u/nikhil_pratap

Hi everyone,

As a CA Finalist, I've been working on this project over the past few months. The idea was to see how much of the equity research and financial modelling workflow could be automated while still keeping the outputs fully editable.

It pulls live market data, generates forecast assumptions based on historicals (which can be edited), builds integrated financial statements and valuation models, and exports a fully formula-linked Excel model or a research report.

I've also experimented with adding DCF valuation, sensitivity analysis, forensic metrics (Beneish M-Score, Altman Z-Score, etc.), risk analysis, earnings call analysis, and industry & market research into the workflow.

I'm interested in hearing from people who build financial models regularly. Are there any modelling standards, Excel practices, or workflows you'd expect to see that I may have overlooked? Any technical feedback or suggestions would be appreciated.

Been working on it for a few week along with office works + studies and somehow ended up with an actual Lite - institutional equity research platform — Meridian Terminal

Live market data, deep equity analysis — company analysis, financial statements, ratio analysis, forensic accounting flags, valuation modelling, DCF, screener, portfolio tracker, and a bunch of other tools I kept adding at 2am because why not.

About Me - 19M, I'm a Big 4 audit trainee. I just knew what I wanted it to look like.

Drop Your suggestions and reviews or whatever you want to comment.

19M, CA Finalist, currently working at KPMG.

Over the last few weeks, I've been building an equity research platform alongside work and studies.

The platform uses live market data from multiple stock exchanges and indices, and the analysis updates based on current data rather than static datasets.

It covers things like company analysis, financial statement analysis, Valuation Modelling, earnings call analysis, risk assessment, Industry Market Screenr, Summarized Report.

Sharing a full video of its working.

Would genuinely appreciate feedbacks !!

About me - 19M, CA Final student currently pursuing articleship at KPMG in Statutory Audit. Near to end of 1st year of articleship in 55 Days

Based on my experience, projects, and profile, would you recommend FP&A, Valuation, Equity Research, Investment Banking, Corporate Finance, Consulting, or any other fields? Also open to suggestions on improving my profile.

Resume attached. Thanks in advance.

Not a developer. CA student at KPMG Mumbai.

Built Financial Intelligence Arena because I couldn't find any interactive platform for learning startup finance. Most resources explain concepts, but very few let you actually simulate them.

The platform includes:

• Startup fundraising journey (Seed → Series A → IPO)
• Valuation models (DCF, multiples, comparables)
• ESOP and founder dilution simulations
• DRHP and due diligence analysis
• Gamified challenges, XP, achievements, and leaderboards

Built using Vanilla JS, HTML/CSS, Chart.js, Firebase Auth, Firestore, and Google APIs.

Had no prior backend experience, so learning and integrating cloud-based authentication, user accounts, and progress syncing was a challenge in itself.

Took about 1.5 weeks excluding research phase and ~30 versions to current deployment.

Would love your feedback on it.

🔗 in the comment section/ or DM me

Every time I read about a funding round, startup valuation, or IPO, I found myself thinking:

"Reading about it is one thing. Could I actually model it myself?"

So over the last 1.5 weeks, I built Financial Intelligence Arena — an interactive platform that lets you simulate a startup's financial journey from Seed funding all the way to IPO.

Some things inside:

• Fundraising simulator (Seed → Series A → Unicorn → IPO)
• ESOP dilution and cap table mechanics
• Startup valuation models used by investors
• DRHP forensic analysis with real-world red flag scenarios
• Case studies based on companies like Freshworks, Razorpay and BYJU'S
• Progress syncing across devices using Firebase

The goal wasn't to build another finance course. I wanted something more hands-on and simulation-driven.

Built solo as a CA student currently working at KPMG.

It's completely free. Open for suggestions.