OUR HYPOTHESIS ✅ = Mining concentrates where electricity is cheap or free - often stolen, subsidized, or politically unstable
Hypothesis HY10064
OUR HYPOTHESIS ✅ = Mining concentrates where electricity is cheap or free - often stolen, subsidized, or politically unstable
Bitcoin mining is pure electricity arbitrage. Miners locate where power is cheapest - subsidized hydropower, stolen electricity, or politically unstable jurisdictions. This creates geographic concentration risk that affects network security.
Trading hypothesis
What traders get wrong
False assumption:
"Mining is distributed globally and uses market-rate electricity."
Truth:
Mining concentrates where electricity is cheapest: subsidized hydropower, stolen electricity, or authoritarian regimes with artificially low rates. This creates concentration risk and regulatory vulnerability.
Problem for trader:
Mining concentration in unstable regions or on stolen power creates regulatory and operational risks that can suddenly affect the entire network.
Key takeaways
What you should consider as a trader
- Electricity cost dominates - Power is 60-80% of mining operational costs.
- Cheap power has strings - Subsidized, stolen, or unstable sources carry hidden risks.
- Geographic concentration - Mining clusters in few regions: Kazakhstan, Texas, Russia, etc.
- Regulatory vulnerability - Government action in mining regions affects network hash rate.
- China ban proved the risk - Single country action caused 50% hash rate drop overnight.
Data you need
Understand mining economics
Data points:
- Mining geographic distribution
- Electricity cost by region
- Hash rate migration patterns
- Regulatory risk by jurisdiction
Comparison of data sources
Where to get crucial data feeds
| Source | Availability | Notes |
| Cambridge Bitcoin Index | ⚠️ Partial | Geographic estimates, significant lag. |
| Mining pool data | ⚠️ Partial | Incomplete geographic information. |
| **Madjik** | ✅ Yes | 🚀 Get API Access Now |
Available metrics for this hypothesis:
| Metric | Description | Change dimensions | Time dimensions | How to use | API spec |
| `ME10005` | Mining & network | • Absolute Value (value) • Relative Change (relchg) • Score 0-100 (score) | • Current (now) • Past 7 Days (past7d) • Past 30 Days (past30d) | Example | API |
| `ME10010` | Regulatory | • Absolute Value (value) • Relative Change (relchg) • Score 0-100 (score) | • Current (now) • Past 7 Days (past7d) • Past 30 Days (past30d) | Example | API |
Clean data for AI, A2A, MCP, etc.
Science behind hypothesis
Research supports this hypothesis
China mining ban caused 50% hash rate drop and massive migration. Mining follows cheap electricity - often in jurisdictions with political instability or weak rule of law.
Bottom line
Mining follows cheap power, and cheap power often has political strings. Geographic concentration creates systemic risks most traders ignore. Madjik tracks mining distribution, hash rate migration, and regulatory developments in key mining regions.
Practical use
How to use this data in trading:
Combine these metrics for comprehensive analysis:
- ME10005 (Mining & Network): Detect miner capitulation for bottom signals and monitor network security for risk assessment.
- ME10010 (Regulatory): Monitor enforcement actions and policy signals for regulatory risk management.
Detailed examples with Python code, AI agent integration (MCP/A2A), and risk analysis:
| `ME10005` | Mining & Network Trading Guide | Example → |
| `ME10010` | Regulatory Trading Guide | Example → |
API Documentation: docs.madjik.io
For informational purposes only. Not financial, investment, tax, legal or other advice.