Fidelity Digital Interest Token (FDIT) price analysis should be framed as scenarios, not a fixed forecast. Data snapshot date: May 14, 2026. Current price is $1, market cap is $152.83M, and the 30-day move is +0.00%. This report uses market data, ATH distance, volume quality, and TokenRadar metrics to define what would strengthen or weaken the setup.
| Metric | Value |
|
|
|
| Price | $1 |
| Market Cap | $152.83M |
| 24h Change | +0.00% |
| Market Rank | #226 |
| 24h Volume | $0.00000000 |
| ATH Distance | +0.00% |
Current Price Setup
Fidelity Digital Interest Token trades at $1 with a market cap of $152.83M and 24h volume of $0.00000000. The latest ranked market snapshot places FDIT at #226 by market capitalization. The token is +0.00% from its all-time high of $1, recorded on September 17, 2025. Its all-time low is $1, recorded on September 17, 2025, while the 30-day move is +0.00%. Circulating supply is 152,826,070.13, total supply is 152,826,070.13, and max supply is not available. Current 24h range runs from $1 to $1, while 24h change is +0.00%. That short-term move should be compared with 7-day performance of +0.00% and 30-day performance of +0.00% before drawing conclusions.
Scenario Framework
The constructive scenario for FDIT requires improving volume, stable or rising market rank, and price action that holds above recent weak sessions. The neutral scenario is range-bound trading where market cap and volume do not confirm a strong trend. The downside scenario is a breakdown in liquidity, a weaker category backdrop, or renewed movement toward the all-time low of $1 from September 17, 2025.
Risk and Volatility Inputs
TokenRadar currently assigns Fidelity Digital Interest Token a risk score of 5/10, a growth potential index of 9/100, narrative strength of 80/100, and a volatility index of 0/100. The computed risk level is medium. Fidelity Digital Interest Token is a limited upside, strong narrative, deeply discounted vs ATH token.
Volatility matters because a percentage move can look attractive while still being unsupported by liquidity. The current volume-to-market-cap ratio is 0.00%, and the ATH drawdown is +0.00% from $1. Those two data points help frame whether the market is liquid enough and whether the price is recovering from a deep historical decline.
Market Cap and Supply Pressure
Fidelity Digital Interest Token has market cap of $152.83M and FDV of $152.83M. Circulating supply is 152,826,070.13, total supply is 152,826,070.13, and max supply is not available. If FDV is much larger than market cap, future supply can matter as much as chart momentum. If max supply is fixed, the analysis should still check circulating supply and unlock schedules.
What Would Improve the Outlook
The outlook would improve if FDIT shows stronger volume than its recent baseline, improving 7-day and 30-day trend alignment, clearer project execution, and no major negative security or governance events. A move supported by volume is generally more useful than a price spike with weak turnover.
What Would Weaken the Outlook
The outlook would weaken if price rises while volume falls, if market rank deteriorates, if liquidity becomes fragmented, or if supply data changes without clear disclosure. For high-risk tokens, a positive 24h move can still be a weak signal when the broader trend, ATH distance, and volume ratio do not confirm it.
FAQ
Can Fidelity Digital Interest Token price be predicted exactly?
No. This article uses scenarios and invalidation points rather than exact price targets because crypto markets are volatile and liquidity can change quickly.
What is the current FDIT price?
The latest local data snapshot shows FDIT at $1 with a 24h move of +0.00%.
What would make the FDIT setup stronger?
Improving volume, stable market rank, stronger 30-day trend, and credible project catalysts would make the setup cleaner.
What is the main risk in this analysis?
The main risk is treating a short-term price move as confirmation without checking liquidity, supply, volatility, and project-specific events.
Disclaimer: This article is for informational purposes only and does not constitute financial advice. Always do your own research (DYOR).
For FDIT research, the important control is consistency between the live market snapshot and the longer historical record. A single 24h move can be noisy, while market cap rank, 30-day performance, all-time high distance, supply structure, and volume-to-cap ratio create a more durable comparison set. This is why the article separates market data from decision rules and keeps the conclusion conditional.
Fidelity Digital Interest Token also needs category-aware interpretation. A Ethereum Ecosystem token with high liquidity can behave very differently from a low-volume asset with the same percentage move. The practical question is whether volume, spread quality, supply data, and catalyst evidence confirm the move or contradict it.
The safest way to use this price prediction article is as a checklist. Confirm the latest price, check the current rank, compare 24h volume with market cap, review the ATH and ATL dates, and look for any project-specific changes before treating the data as current enough for research.
For FDIT research, the important control is consistency between the live market snapshot and the longer historical record. A single 24h move can be noisy, while market cap rank, 30-day performance, all-time high distance, supply structure, and volume-to-cap ratio create a more durable comparison set. This is why the article separates market data from decision rules and keeps the conclusion conditional.
Fidelity Digital Interest Token also needs category-aware interpretation. A Ethereum Ecosystem token with high liquidity can behave very differently from a low-volume asset with the same percentage move. The practical question is whether volume, spread quality, supply data, and catalyst evidence confirm the move or contradict it.
The safest way to use this price prediction article is as a checklist. Confirm the latest price, check the current rank, compare 24h volume with market cap, review the ATH and ATL dates, and look for any project-specific changes before treating the data as current enough for research.