OpenGradient (OPG) price analysis should be framed as scenarios, not a fixed forecast. Data snapshot date: May 14, 2026. Current price is $0.2570, market cap is $48.81M, 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 | $0.2570 |
| Market Cap | $48.81M |
| 24h Change | -10.14% |
| Market Rank | #517 |
| 24h Volume | $69.51M |
| ATH Distance | -45.98% |
Current Price Setup
OpenGradient trades at $0.2570 with a market cap of $48.81M and 24h volume of $69.51M. The latest ranked market snapshot places OPG at #517 by market capitalization. The token is -45.98% from its all-time high of $0.4759, recorded on April 22, 2026. Its all-time low is $0.1808, recorded on April 21, 2026, while the 30-day move is +0.00%. Circulating supply is 190,000,000, total supply is 1,000,000,000, and max supply is 1,000,000,000. Current 24h range runs from $0.2496 to $0.2932, while 24h change is -10.14%. That short-term move should be compared with 7-day performance of +0.14% and 30-day performance of +0.00% before drawing conclusions.
Scenario Framework
The constructive scenario for OPG 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 $0.1808 from April 21, 2026.
Risk and Volatility Inputs
TokenRadar currently assigns OpenGradient a risk score of 5/10, a growth potential index of 52/100, narrative strength of 30/100, and a volatility index of 50/100. The computed risk level is medium. OpenGradient has moderate metrics across the board.
Volatility matters because a percentage move can look attractive while still being unsupported by liquidity. The current volume-to-market-cap ratio is 142.40%, and the ATH drawdown is -45.98% from $0.4759. 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
OpenGradient has market cap of $48.81M and FDV of $256.89M. Circulating supply is 190,000,000, total supply is 1,000,000,000, and max supply is 1,000,000,000. 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 OPG 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 OpenGradient 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 OPG price?
The latest local data snapshot shows OPG at $0.2570 with a 24h move of -10.14%.
What would make the OPG 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 OPG 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.
OpenGradient also needs category-aware interpretation. A Artificial Intelligence (AI) 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 OPG 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.
OpenGradient also needs category-aware interpretation. A Artificial Intelligence (AI) 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 OPG 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.