DCA Credit Flow Proxy

7 ביוני

**Richard Werner's Credit Flow Proxy – ΔCF vs ΔCR**

This is an open-source indicator designed as a real-time proxy for Richard Werner’s **Quantity Theory of Credit**.

It approximates the split between:
- **ΔC_F** (financial/asset credit growth) → red line + orange histogram (real estate, financials, speculation → bubble risk)
- **ΔC_R** (productive/real-economy credit growth) → green line + green histogram (sustainable growth)

**Key features:**
- All lines and the MACD-style histogram are centered on the same yellow zero line for easy reading
- Histogram: green above zero = productive credit lead (low risk), orange below zero = CF dominance (bubble risk)
- Minsky Instability line (purple) showing acceleration toward speculative/Ponzi phase
- Fully customizable with toggles and scaling options

**Important:**
This is a **proxy only**. PineScript cannot access actual bank credit data (Fed H.8, ECB lending surveys, etc.). It uses sector ETF relative growth rates (ROC) as the closest real-time approximation of Werner’s ΔC_F vs ΔC_R framework. Always cross-check with official monthly central bank credit data for confirmation.

No repainting. No guarantees. Purely educational and analytical.

**How to use:**
Add to any broad market index (SPY, QQQ, ^SPX, ^STOXX50E, ^N225, etc.).
- Green histogram + rising green line → productive credit dominant (more sustainable market move)
- Orange histogram + rising red line → CF dominance (higher asset bubble risk)

**How to create your own proxy (easy to fork):**
1. Change the tickers above to whatever sectors/index you want
2. Modify the `cf_proxy` line to include/exclude sectors
3. Adjust the `bubble_score` formula if you want different weighting
4. Turn `show_minsky` off if you want it cleaner

Feel free to fork this script and publish your own version!

Inspired by Richard Werner’s empirical research on bank money creation and the Quantity Theory of Credit.

7 ביוני

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