Analysis for dogwifhat
Description & usage
dogwifhat is a meme-oriented crypto asset whose market value is primarily driven by community momentum, liquidity, and short-term sentiment. The token typically has no traditional cash-flow backing; network narrative, liquidity, and community momentum are central. Key drivers are exchange liquidity, narrative cycles, crypto risk appetite, and volatility regimes.
Basic info
- Symbol
- WIF
- Category
- Meme
- Available history
- 2.2 years
- Last trading day
- 06/04/2026
Market context
- DXY
- 120.89last available value
- US 10Y Real
- 1.99%
- Fed Balance
- $6.68T
- CPI YoY
- 2.4%
- Fed Rate
- 3.75%
- US 10Y
- 4.35%
- VIX
- 24.54
- HY OAS
- 3.17%
- Brent
- $121.88
- Core CPI
- 2.5%
- US 2Y
- 3.84%
- ISM PMI
- –
Score overview
Analysis summary
Overall, the picture looks calm but not clearly directional. Trend is currently doing more of the work than performance, with sub-scores of 13 for performance, 36 for stability and 48 for trend.
The strongest support currently comes from the available recent return profile. The visible recent return data gives the setup some current traction, but the read is less complete where values are missing.
The main drag is limited long-run confirmation. Five- and ten-year return data are not available, so the longer picture is less complete than the headline score.
The next important change would be clearer direction. Right now the chart is neither broken nor convincing enough to support a stronger technical call.
Historical evaluation and qualitative market context only, not investment advice.
Price chart
Use the chart to read recent price behavior before drilling into metrics.
Scores and metrics
Explore the overall score, the three pillar scores, and the metrics behind them.
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Scores
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Metrics
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Data snapshot
- Snapshot as of
- Jun 04, 2026
- Last trading day
- Jun 04, 2026
- Snapshot status
- Validated
- Data quality
- Passed
Freshness, data quality, and exclusions stay visible. Unavailable values and insufficient history are never treated as valid data.