OUR HYPOTHESIS ✅ = Stimulus money inflated crypto - when the printer stops, prices crash
Hypothesis HY10046
OUR HYPOTHESIS ✅ = Stimulus money inflated crypto - when the printer stops, prices crash
The 2020-2021 crypto bull run wasn't organic adoption - it was stimulus money seeking returns. Trillions in government handouts, PPP loans, and zero interest rates created a wall of liquidity that flowed into speculative assets. When stimulus ends and rates rise, crypto crashes first and hardest.
Trading hypothesis
What traders get wrong
False assumption:
"Crypto prices reflect genuine adoption, utility, and technological progress."
Truth:
Crypto prices reflect monetary policy more than fundamentals. Stimulus checks, PPP fraud, and zero rates pushed money into speculation. When liquidity tightens, risk assets crash.
Problem for trader:
You're not trading adoption curves - you're trading Fed policy. Your technical analysis is noise over the monetary signal.
Key takeaways
What you should consider as a trader
- Stimulus = speculation fuel - Direct correlation between stimulus payments and crypto inflows documented.
- Zero rates pushed risk-seeking - With bonds paying nothing, money chased yield in crypto.
- PPP fraud funded speculation - Significant fraudulent PPP loan money went directly into crypto.
- Tightening kills crypto first - Risk assets sell first when Fed tightens. Crypto is the riskiest.
- Watch the Fed, not the blockchain - M2 money supply predicts crypto better than any on-chain metric.
Data you need
Track macro liquidity
Data points:
- M2 money supply vs crypto correlation
- Fed balance sheet impact
- Stimulus timing vs exchange inflows
- Interest rate sensitivity
Comparison of data sources
Where to get crucial data feeds
| Source | Availability | Notes |
| FRED Economic Data | ⚠️ Partial | Macro data, no crypto correlation analysis. |
| Glassnode | ⚠️ Partial | On-chain focus, no macro integration. |
| **Madjik** | ✅ Yes | 🚀 Get API Access Now |
Available metrics for this hypothesis:
| Metric | Description | Change dimensions | Time dimensions | How to use | API spec |
| `ME10014` | Correlation | • Absolute Value (value) • Relative Change (relchg) • Score 0-100 (score) | • Past 7 Days (past7d) • Past 30 Days (past30d) • 90d | Example | API |
| `ME10016` | Regime detection | • 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
Strong correlation documented between M2 growth and BTC price. 2022 crypto crash coincided precisely with Fed tightening. Crypto behaves as a high-beta liquidity proxy.
Bottom line
Crypto is a liquidity sponge, not a store of value. When central banks print, crypto pumps. When they tighten, crypto dumps. Madjik tracks macro liquidity indicators alongside crypto metrics so you can see the monetary tide that actually drives prices.
Practical use
How to use this data in trading:
Combine these metrics for comprehensive analysis:
- ME10014 (Correlation): Identify correlation regimes to determine when BTC provides diversification vs moves with equities.
- ME10016 (Regime Detection): Select appropriate strategies (trend, mean reversion, volatility) based on detected market regime.
Detailed examples with Python code, AI agent integration (MCP/A2A), and risk analysis:
| `ME10014` | Correlation Trading Guide | Example → |
| `ME10016` | Regime Detection Trading Guide | Example → |
API Documentation: docs.madjik.io
For informational purposes only. Not financial, investment, tax, legal or other advice.