CryptoQuant User Guide
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  • Exchange Flows/Indicators
    • Glossary (Exchange Flows)
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    • Binary CDD
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      • aSOPR (Adjusted SOPR)
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    • Net Unrealized Profit/Loss (NUPL)
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      • UTXO Age Bands
      • Realized Cap - UTXO Age Bands
      • Realized Price - UTXO Age Bands
      • UTXO Count - Age Bands
      • Spent Output Age Bands
    • UTXO Bands (Value)
      • UTXO Value Bands
      • Realized Cap - UTXO Value Bands USD
      • UTXO Count - Value Bands
      • Spent Output Value Bands
  • Market Data/Indicators
    • Glossary (Market)
    • Open Interest
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    • Capitalization models
    • Realized Price
    • Exchange Whale Ratio
    • MVRV (Market Value to Realized Value) Ratio
  • Network Indicators
    • NVT Ratio
    • NVT Golden Cross
    • Puell Multiple
    • Stock to Flow Ratio
    • Stock to Flow Reversion
    • NVM Ratio
  • Stablecoin Exchange Flows/Indicators
    • Glossary (Stablecoin)
    • Stablecoin Network Data
    • Stablecoin Exchange In/Outflow & Netflow
    • Stablecoin Exchange Reserve
    • Stablecoin Exchange Addresses Count
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    • Stablecoins Ratio
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  • Fund data & Premium
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      • GBTC Digital Asset Holdings
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  • Grayscale Ethereum Trust (ETHE)
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  • Coinbase Premium
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  • Definition
  • Interpretation
  • Use Case
  • Predicting market tops and bottoms
  • Link to Our Data

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  1. Network Indicators

Stock to Flow Reversion

Stock to Flow (SF) Reversion is defined as a ratio of the price of BTC divided by SF ratio.

PreviousStock to Flow RatioNextNVM Ratio

Last updated 1 year ago

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Definition

Stock to Flow (SF) Reversion is defined as a ratio of the price of BTC divided by SF ratio.

SF Reversion=Price of BTCSF Ratio\text{SF Reversion} = \frac{\text{Price of BTC}}{\text{SF Ratio}}SF Reversion=SF RatioPrice of BTC​

Interpretation

SF reversion is an indicator that measures the relative difference between the market price and SF ratio. SF ratio so far correctly estimates the price trend, which means the price deviation from SF ratio can be an opportunity to bet. If SF reversion is too high compared to the price, the market price would be corrected soon, meaning a bearish moment.

Use Case

Predicting market tops and bottoms

We first build a linear regression model of SF reversion to the price to align two variables. After aligning both in a single graph shown below, we can clearly see the deviations of SF reversion to the price and those points clearly indicate bullish (green boxes) and bearish (red boxes) regimes respectively.

Link to Our Data

Stock to Flow Reversion in CryptoQuant Live Chart
Stock to Flow Reversion in CryptoQuant Data API Docs