Oracle Token Stress-Test 🔮

Focus: LINK, BAND, DIA, API3 Resilience

🧠 Overview

This dashboard explores the resilience of key oracle tokens (LINK, BAND, DIA, API3) during market volatility. We analyze how each performed during drawdowns, their price/liquidity behavior, and how well they’ve recovered from recent lows.

📊 Dashboard Highlights

• 🔻 Drawdown Chart: Track the % loss from peak for each oracle token over time.

• 📉 Price vs Volume (LINK): Compare price movement with trading volume to assess liquidity stress.

• 📈 Recovery Rates: Visualize which token bounced back the most from its market bottom.

• 

🔍 Key Insights

• API3 showed the strongest price recovery over the last 90 days.

• LINK maintained better liquidity during price drops compared to others.

• Strong correlation patterns suggest LINK acts as a price anchor for the oracle sector.

• 

📂 Dataset

• Price, volume, and supply data were pulled from Coingecko API.

• Calculations were done in Python using pandas.

• Visuals built using Glint + matplotlib.

🧰 Tools Used

• Python (pandas, matplotlib)

• Glint (dashboard builder)

• Coingecko API

• CSV uploaded dataset [available on request]

🔗 Live Dashboard

👉 https://app.glintanalytics.com/

This dashboard is part of the SuperTeam x Glint Dashboard Contest.
My goal: show how data storytelling can highlight on-chain token behavior under pressure.