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| title: Blockchain Intelligence Dashboard | |
| emoji: 🔗 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 6.5.1 | |
| app_file: app.py | |
| pinned: true | |
| license: mit | |
| tags: | |
| - blockchain | |
| - cryptocurrency | |
| - analytics | |
| - cross-chain | |
| - visualization | |
| datasets: | |
| - Omarrran/50k_Cryptocurrency_Transaction_Dataset_by_HNM | |
| short_description: '8-dimension cross-chain analysis ' | |
| # 🔗 Blockchain Intelligence Dashboard | |
| **8-Dimension Cross-Chain Analysis of 50,000 Real Cryptocurrency Transactions** | |
| Interactive exploration of ETC, BTC, DOGE, BCH, and DASH across eight research dimensions: | |
| | # | Dimension | Key Finding | | |
| |---|-----------|-------------| | |
| | 1 | Fee Market Efficiency | BCH CV=15.89 (highest), BTC CV=3.12 (most stable) | | |
| | 2 | Whale Concentration | DOGE Gini=0.998, top 1% controls 53-99% of volume | | |
| | 3 | Network Reliability | ETC 99.93% success, failures unpredictable (AUC=0.499) | | |
| | 4 | AML Pattern Detection | 15,330 peeling chains, BTC risk rate 40.1% | | |
| | 5 | Payment Velocity | 12,400× gap: DOGE (30,978) vs BTC (2.49) | | |
| | 6 | Gas Price & MEV | R²=0.269, moving averages = 96% importance | | |
| | 7 | Cross-Chain Arbitrage | All 5 pairs cointegrated, 1,615 divergence signals | | |
| | 8 | Privacy Leakage | ETC 55.6% address reuse, normalized entropy 0.715 | | |
| ## Features | |
| - **Interactive Plots**: Plotly-based visualizations for each research dimension | |
| - **Radar Comparison**: Normalized cross-chain comparison across all metrics | |
| - **Custom Analysis**: Upload your own CSV to get instant blockchain analytics | |
| - **Real Data**: All results from verified blockchain transactions (Nov 2024) | |
| ## Dataset | |
| Uses [Omarrran/50k_Cryptocurrency_Transaction_Dataset_by_HNM](https://huggingface.co/datasets/Omarrran/50k_Cryptocurrency_Transaction_Dataset_by_HNM) | |
| — 50,000 transactions (10K per chain) from live blockchain explorers. | |
| ## Methods | |
| - Statistical testing: Levene's, KS, Engle-Granger cointegration | |
| - Machine learning: Random Forest, Gradient Boosting, Isolation Forest, DBSCAN | |
| - Information theory: Shannon entropy, Gini coefficient | |
| - All models use random seed 42 and temporal train/test splits | |
| ## Citation | |
| ```bibtex | |
| @misc{blockchain_intelligence_2026, | |
| title={Comprehensive Cross-Chain Cryptocurrency Analysis: Eight Dimensions of Blockchain Intelligence}, | |
| author={Haq Nawaz, XXXX}, | |
| year={2025}, | |
| howpublished={HuggingFace Spaces} | |
| } | |
| ``` |