🔴🟢 Crypto Market Regime Monitor

AI-Powered Fear & Greed Regime Identification

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📊 About This Project

This dashboard uses unsupervised machine learning (K-Means clustering) to identify cryptocurrency market regimes based on 20+ digital assets and the Fear & Greed Index. The model discovers two distinct emotional states: Fear and Greed.

📐 Key Features

Log Return
retBTC = ln(Pt / Pt-1)
Volatility (7-day)
σ7d = std(ret) × √365
Market Breadth
breadth = Σ(P > MA50) / n
F&G Normalized
fgnorm = fgraw / 100

💡 Chart Interpretation:

• The price line shows Bitcoin (BTC) as a market representative

• The colored markers (▼ Fear / ◆ Greed) represent the entire crypto market sentiment derived from 20 assets

• BTC serves as the reference price, while regime labels reflect the broader market emotional state

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--% confidence
BTC Price
$--,---
F&G Index
--
Volatility (7d)
--.--
Market Breadth
--%

📊 Period Statistics

This Week

Fear 0% Greed 0%

Switches: 0

This Month

Fear 0% Greed 0%

Switches: 0

This Quarter

Fear 0% Greed 0%

Switches: 0

⏱️ Regime Duration Statistics (Last 2 Years)

😰
Avg Fear Duration
-
days
🤑
Avg Greed Duration
-
days
🔄
Total Regime Switches
-
times
📅
Current Regime Duration
-
days

📈 7-Day Timeline

📈 30-Day Timeline

📈 100-Day Timeline

📈 1-Year Timeline

🎯 Historical Events Validation

Comparing our model's predictions with major crypto market events

Date Event Description Expected Predicted Confidence Result

🔥 Regime Heatmap Calendar (Last 2 Years)

Each cell represents one day. Hover to see details. Red = Fear | Green = Greed | Darker = Higher confidence

Fear (High)
Fear (Low)
Greed (Low)
Greed (High)