Bitcoin (BTC) price action may be “unsustainably high” as one metric hits its highest levels in seven months.
Data from on-chain analytics firm Glassnode confirms that on Dec. 21, Bitcoin’s network value to transaction (NVT) signal reached levels not seen since April.
Bitcoin activity may not support $17,000 BTC price
Created by statistician Willy Woo, NVT essentially measures the ratio between on-chain activity and the Bitcoin price.
NVT signal modifies its readings by using a 90-day moving average of daily transaction volume instead of raw data, something Glassnode says “improves” NVT and allows it “to better function as a leading indicator.”
On Dec. 21, NVT signal hit 18.58, a level which last appeared as it declined in the final days of April. At the time, BTC/USD traded at just over $40,000.
Fast forward to year end, and NVT is flashing a warning. Despite Bitcoin being worth less than 50% of its April levels, network volume has declined to such an extent that even the current $16,800 valuation might not last.
As Woo explained in a description of NVT ratio on his analytics site, Woobull:
“When Bitcoin’s NVT is high, it indicates that its network valuation is outstripping the value being transmitted on its payment network, this can happen when the network is in high growth and investors are valuing it as a high return investment, or alternatively when the price is in an unsustainable bubble.”
A tale of two NVT signals
There is a catch to NVT, however. As various analysts, including Woo, note, the constantly-changing nature of the Bitcoin network means that transactions are, for example, increasingly moving off-chain.
Related: Bitcoin price fails to retake $17K with market ‘not prepared’ for dip
Together with other phenomena, this impacts on-chain transaction data to the extent that NVT may be trending lower but still produce an overly bearish picture of value-to-transactions.
This is addressed with an addition to the indicator called dynamic range NVT (DRNVT). Created by Charles Edwards, CEO of asset manager Capriole, DRNVT uses standard deviations to measure NVT divergence from the mean. It also supplies value zones for easier determination of entry points based on its readings.
Currently, DRNVT is in that value zone, data from TradingView shows — a key contrast to the standard model.
“The NVT Signal with a dynamic fair value range must be used with care,” Edwards…
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