Crypto Risk Radar

⚡ Quick Risk Summary (Last 8h)

• 🔴 Bid Depth Decay: 19.8% – high support erosion
• 🟢 Dormant Addresses: 0 addresses moved $0 to exchanges
• 🔴 Token Unlocks: 10 events upcoming, total value $133,662,223,571
• 🟠 Security Threats: 2 contracts flagged in 24h

Quant Score: 0.45/2.0 | Low Risk | Full details below ↓

1. Market Overview

2. Orderbook Structure

Bid Depth Decay: 19.8% (Current: 1250.5 BTC, 8h ago: 1560.0 BTC)

Historical context: This decay rate is at the 65th percentile of the past 30 days, indicating moderate support removal.

Ask Uniformity: 0.142

Reference: Values below 0.1 may indicate algorithmic order placement; current value is within normal range.

Spread: 12 bps

Volatility Regime: Current 30-day realized volatility is 6.6% (annualized), placing it at the 19th percentile of the past year. Low volatility increases the risk of slippage and stop-loss hunting.

Spoofing Probability: Low (15%) — Orderbook appears organic.
Based on 8-hour orderbook snapshot analysis. High probability suggests potential market manipulation through non-executable orders.

3. Exchange Netflow

24h: -1,250 BTC | 7d: -8,750 BTC | 30d: -28,400 BTC

Green bars = outflow (accumulation), Red bars = inflow (potential selling pressure)

4. Dormant Address Activity

No dormant address activity detected in the last 8 hours.

Real-time monitoring via Etherscan API. Addresses are flagged when they transfer >10 ETH to exchanges after >365 days of inactivity.

Check back next cycle. Historical dormant address events will be archived here when detected.

5. Token Unlock Schedule

Total Unlocks: 10 events | Total Value: $133,662,223,571

6. High Risk Token Watchlist

[OK] Real-time DEX Data: Data sourced from GeckoTerminal API (real-time DEX trading data).
Tokens identified based on liquidity, volatility, and risk metrics from on-chain DEX activity.

Tokens Flagged: 4 | Criteria: Liquidity <$50k, Owner >20%, Risk Score >70

7. Contract Security Scanner

[OK] GoPlus Security API: Real-time contract security scanning via GoPlus Security API.
Threats detected through automated analysis of contract code, permissions, and transaction patterns.

Threats Detected: 2 | Est. Loss Prevention: $2,300,000

8. On-Chain Pattern Observations

Data Source: Real-time monitoring (Nitter API - upgrade available)

Patterns Detected: 3

Note: Real-time monitoring active. Sample patterns shown for demonstration.

These patterns document temporal correlations between social media mentions and market activity. Correlation does not imply causation. Always cross-check with other indicators.

9. Self-Protection Guide

Purpose: Steps to independently verify information before making decisions.

Verification Checklist

Red Flags

• Token has no locked liquidity
• Single wallet holds >20% of supply
• Contract is not verified
• Large buys from wallets created within 7 days
• Immediate transfers to exchanges after price rise

10. Market Anomaly Index

Current Score: +0.45/2.0 | Grade: Positive | Consistency: 67%

7-Day Trend: +0.25 → +0.30 → +0.35 → +0.40 → +0.42 → +0.38 → +0.45

Trend direction: Increasing anomaly

Tail Risk Estimate (99% VaR): Based on EWMA volatility model, the maximum expected 24h loss is BTC -0.81% / ETH -0.99% under normal market conditions. This estimate assumes non-stationary volatility (no mean reversion), which is the only reliable framework for crypto assets.

This index is calculated from bid depth decay, dormant address activity, exchange netflow, and post-promotion price patterns. Higher scores indicate higher statistical anomaly compared to normal market behavior. Based on 12-month historical data.

12. Risk Heatmap Visualization (v8.7)

Interactive visualization of asset risk profiles using 5-dimension scoring model. X-axis: Market Cap (log scale), Y-axis: Volatility, Color: Risk Score.

5-Dimension Risk Scores

Risk Model Weights

• Market Risk (30%): Volatility, liquidity, market cap
• Security Risk (25%): Audit status, exploit history
• Financial Risk (20%): TVL, revenue, treasury
• Operational Risk (15%): Team transparency, governance
• Sentiment Risk (10%): Social signals, news sentiment

13. Risk Matrix Assessment (v8.7)

Standardized risk assessment using 4x4 likelihood-impact matrix. Higher scores indicate higher priority for risk mitigation.

Risk Matrix
======================================================================

Likelihood \ Impact |  Low(1)  | Medium(2) |  High(3)  | Critical(4)
-------------------|----------|-----------|-----------|------------
HIGH               | [ 4] LOW   | [ 8] MED   | [12] HIGH  | [16] CRIT 
MEDIUM             | [ 3] LOW   | [ 6] MED   | [ 9] HIGH  | [12] HIGH 
LOW                | [ 2] LOW   | [ 4] LOW   | [ 6] MED   | [ 8] MED  
RARE               | [ 1] LOW   | [ 2] LOW   | [ 3] LOW   | [ 4] LOW  

Priority Levels:
  [1-4]  LOW     - Monitor
  [5-8]  MEDIUM  - Plan mitigation
  [9-12] HIGH    - Implement controls
  [13-16]CRITICAL- Immediate action

            

Crypto-Specific Risk Assessment

Risk Matrix: Likelihood x Impact = Risk Score (1-16). Priority levels: Low (1-4), Medium (5-8), High (9-12), Critical (13-16).

14. On-Chain Anomaly Fact Sheet (v9.0)

Fact-based comparison: Project claims vs. on-chain reality. No investment advice.

Important Disclaimers

Data Limitations

• This report presents publicly available on-chain data and social media posts
• Correlation does not imply causation
• Patterns may occur due to normal market activity
• Always verify data independently before making decisions

Not Financial Advice

• This report is for educational purposes only
• It does not constitute investment advice
• The researchers do not hold positions in mentioned tokens
• Past patterns do not predict future results

Methodology Transparency

• All data sources are public APIs (Etherscan, Binance, etc.)
• Analysis algorithms are documented in METHODOLOGY.md
• Historical comparisons are based on observed patterns

💬 Comments & Feedback

We welcome criticism, corrections, and additional information about this report.

Requires GitHub account. Alternative: Email feedback to crypto-risk-radar@protonmail.com
All feedback is publicly visible and helps improve report accuracy.

📖 License & Attribution

This report is licensed under CC BY 4.0.

You are free to copy, redistribute, and adapt this content for any purpose, including commercial use, as long as you provide appropriate attribution.

Attribution: "Crypto Risk Radar - https://peteryang546.github.io/crypto-risk-radar/"

About This Report

Generation: This report is generated automatically every 8 hours (3 times daily) to align with major market sessions: 06:00 / 14:00 / 22:00 EST (US market hours).

Transparency: All raw data, analysis scripts, and historical reports are available on GitHub.

Methodology: Detailed formulas and data sources are documented in METHODOLOGY.md.

Verification: All on-chain data can be independently verified via Etherscan/BSCScan using the provided transaction links.

Report Archive

View previous reports to track market changes over time:

• 📁 All Historical Reports (GitHub)
• 📄 Latest Text Summary
• 📊 API Data (JSON)

Reports are archived after each 8-hour cycle. Use the GitHub link above to browse all historical data.

📖 Glossary of Terms

Bid Depth Decay

Percentage reduction in cumulative bid liquidity within 5% price interval. Higher decay indicates weakening market support.

Ask Uniformity

Standard deviation of ask sizes divided by mean. Values below 0.1 suggest algorithmic order placement.

Exchange Netflow

Net BTC transferred to/from exchanges. Positive = inflow (sell pressure), Negative = outflow (accumulation).

Dormant Address

Address inactive for >365 days. Sudden activity often precedes large sell orders.

Market Anomaly Index

Composite score (0-2.0) combining orderbook, netflow, dormant, and social signals. >1.0 indicates elevated risk.

Historical Similarity

Pattern match to past pump-and-dump events. Higher % = more similar to historical manipulation patterns.