How to Build an Interactive NVIDIA Stock Analysis App in Minutes with EODHD API and Plotly Studio

You want to analyze NVIDIA’s stock (NVDA) with reliable data, clear visuals, and advanced metrics. The problem? Most tools either require you to code everything from scratch or force you into rigid templates that don’t show the indicators and KPIs you really need.

I’ve been there — scrambling to put together a professional-looking NVIDIA dashboard for a meeting, with hours spent on messy CSVs and incomplete APIs.

If you’ve tried this before, you’ve probably hit these walls:

1. APIs with missing fields or restrictive limits.

2. Data that needs hours of cleaning.

3. Indicators like RSI or MACD that you have to calculate manually.

4. Dashboards that are a nightmare to customize.

As Peter Lynch said:

“Know what you own, and know why you own it.”

The issue is that many investors spend more time wrestling with the data than interpreting it.

The Solution

With EODHD API and Plotly Studio, you can go from raw NVIDIA data to an interactive, risk-aware dashboard in minutes — no front-end coding needed.

1. The Python Script for NVIDIA

This script pulls:

• Fundamentals: Market cap, PE ratio, Dividend yield, etc.

• Historical OHLCV (last 5 years).

• Technical indicators: SMA50, SMA200, RSI(14), MACD(12,26,9), and 52-week High/Low.

It then outputs clean CSVs ready for Plotly Studio, plus a summary file with KPIs.

2. Building the NVIDIA App in Plotly Studio (The How-To)

This is where the magic happens. Once you’ve run the script, you have your NVDA_US_prices_indicators.csv file ready. Here’s how to turn it into an interactive dashboard in under 10 minutes:

1. Upload Your Data

• Go to Plotly Studio.

• Upload NVDA_US_prices_indicators.csv.

2. Set the Context & Goals

• Paste the advanced NVIDIA prompt (see section 3 below).

• This tells Plotly Studio exactly what visualizations and KPIs you want.

• Configure the Filters

• Add a date range filter so you can zoom in on specific periods.

• If you plan to compare in the future, keep a symbol filter (even though now it’s only NVDA).

3. Add KPI Cards

• Last Close Price

• 52-week High / Low

• Average Volume

• YTD % Change

• Max Drawdown

• Sharpe Ratio

1. These act like your “executive summary” — perfect for decision-makers.

2. Insert Main Charts

• Candlestick + SMAs (20, 50, 200 days) → identify trend shifts.

• MACD & RSI Panels → measure momentum and overbought/oversold conditions.

• Cumulative Returns vs SPY → see how NVIDIA stacks up against the S&P 500.

• Drawdown Curve → visualize worst-case declines.

• Volatility (30-day rolling) → understand market stability.

4. Polish the Style

• Keep it minimalist: light grid lines, clear labels, no clutter.

• Enable interactivity: zoom, pan, hover details.

3. Advanced Prompt for NVIDIA

Paste this into Set Context & Goals in Plotly Studio after uploading your CSV:

“Visualize NVIDIA (NVDA) historical prices with a candlestick chart and moving averages of 20, 50, and 200 days, adding volume, RSI(14), and MACD (12,26,9) in secondary panels. Include cumulative returns vs the S&P 500 (SPY), drawdown curve, 30-day rolling volatility, and Sharpe ratio. Show KPI cards with last close, 52-week High/Low, average volume, YTD %, max drawdown, and Sharpe. Minimalist professional style, with interactivity (zoom, pan, hover) and filters for date range and symbol.”

This single prompt instructs Plotly Studio to:

• Pull multiple chart types.

• Add advanced risk and performance analysis.

• Build a KPI panel for quick decision-making.

It’s like giving your dashboard a blueprint before you even touch a single chart setting.

You can see the app live here

4. A Personal Story

When I first used this exact flow for NVIDIA, it was for a high-stakes investor presentation. The goal was to show NVDA’s performance and risk profile clearly — no fluff, no 20-tab spreadsheets.

With the EODHD API, I had clean, accurate data in seconds. With Plotly Studio, I had a fully interactive dashboard in 12 minutes — complete with KPIs, benchmark comparisons, and risk analytics.

One attendee told me:

“This is exactly the kind of clarity we need to act quickly.”

That was the moment I realized: speed and clarity are competitive advantages.

5. Closing & CTA

If you want your own NVIDIA dashboard with live market data and risk analysis, start with EODHD API. From there, you can build interactive apps in minutes — no more wasting hours on data cleanup or clunky tools.

As Warren Buffett said:

“Risk comes from not knowing what you’re doing.”

With this setup, you’ll always know.

Send me a message on LinkedIn or email me at kevinmenesesgonzalez@gmail.com.