Grok1.5 (GROK1.5) Price Prediction 2025–2030
Explore Grok1.5 price predictions for 2025 and beyond. Learn about potential price movements based on AI-driven forecasts for 2026-2030
Explore Grok1.5 price predictions for 2025 and beyond. Learn about potential price movements based on AI-driven forecasts for 2026-2030
Explore the current price and AI-based predictions for Grok1.5. Track key indicators like green days and 50-day SMA to understand market trends and make informed decisions.
50-day SMA
What is the 50-day SMA for Grok1.5
(GROK1.5)? The 50-day SMA is the average closing price of GROK1.5 over the past 50 days, used to assess trends. 0 |
200-day SMA
What is the 200-day SMA for Grok1.5
(GROK1.5)? The 200-day SMA is the average closing price of GROK1.5 over the past 200 days. It's a key indicator used to identify long-term price trends. 0 |
Volatility
What does the 30-day Volatility for Grok1.5
(GROK1.5) mean? Volatility measures the price fluctuation of GROK1.5 over the last 30 days. Higher volatility indicates greater price swings and potentially higher risk. 20.72 |
Down Days
What are the Down Days in the last 30 days for Grok1.5
(GROK1.5)? Down Days represent the number of days in the past 30 where the closing price of GROK1.5 was lower than its opening price, indicating negative price movement. 2 |
Green Days
What are Green Days for Grok1.5
(GROK1.5)? Green Days are the days when GROK1.5 closed higher than it opened, indicating positive price movement. 4 |
Get daily price predictions for Grok1.5, including forecasts for today, tomorrow, this week, and the next 30 days. Stay ahead with the latest AI-driven insights.
Date | High | Low | End | Potential ROI |
---|---|---|---|---|
2025-01-19 | 0.00000003804 | 0.00000003800 | 0.00000003804 | 18.12 |
2025-01-20 | 0.00000003804 | 0.00000003728 | 0.00000003728 | 18.12 |
2025-01-19 | 0.00000003804 | 0.00000003800 | 0.00000003804 | 18.12 |
2025-01-31 | 0.00000003855 | 0.00000003722 | 0.00000003795 | 19.7 |
Explore daily price targets for Grok1.5 over the next 30 days. Each prediction includes potential ROI, helping you plan your investments efficiently.
Date | Price | Potential ROI |
---|---|---|
2025-01-18 | 0.00000003800 | 17.99 |
2025-01-19 | 0.00000003804 | 18.12 |
2025-01-20 | 0.00000003728 | 15.76 |
2025-01-21 | 0.00000003803 | 18.08 |
2025-01-22 | 0.00000003735 | 15.98 |
2025-01-23 | 0.00000003762 | 16.82 |
2025-01-24 | 0.00000003776 | 17.23 |
2025-01-25 | 0.00000003722 | 15.58 |
2025-01-26 | 0.00000003797 | 17.89 |
2025-01-27 | 0.00000003753 | 16.53 |
2025-01-28 | 0.00000003782 | 17.44 |
2025-01-29 | 0.00000003784 | 17.5 |
2025-01-30 | 0.00000003855 | 19.7 |
2025-01-31 | 0.00000003795 | 17.82 |
2025-02-01 | 0.00000003815 | 18.45 |
2025-02-02 | 0.00000003739 | 16.08 |
2025-02-03 | 0.00000003813 | 18.4 |
2025-02-04 | 0.00000003786 | 17.55 |
2025-02-05 | 0.00000003819 | 18.56 |
2025-02-06 | 0.00000003750 | 16.44 |
2025-02-07 | 0.00000003825 | 18.77 |
2025-02-08 | 0.00000003749 | 16.4 |
2025-02-09 | 0.00000003717 | 15.39 |
2025-02-10 | 0.00000003791 | 17.7 |
2025-02-11 | 0.00000003808 | 18.24 |
2025-02-12 | 0.00000003744 | 16.24 |
2025-02-13 | 0.00000003797 | 17.9 |
2025-02-14 | 0.00000003740 | 16.13 |
2025-02-15 | 0.00000003714 | 15.31 |
2025-02-16 | 0.00000003783 | 17.47 |
2025-02-17 | 0.00000003752 | 16.49 |
Explore long-term price predictions for Grok1.5 through 2026-2030. Forecasts include minimum, average, and maximum prices for each year, along with potential ROI.
Year | Min. Price | Max. Price | Avg | Potential ROI |
---|---|---|---|---|
2025 | 0.00000007586 | 0.00000002567 | 0.00000004637 | 135.51 |
2026 | 0.00000009073 | 0.00000003656 | 0.00000006808 | 181.67 |
2027 | 0.00000003632 | 0.000000005364 | 0.00000001415 | 12.78 |
2028 | 0.00000003537 | 0.000000005364 | 0.00000001358 | 9.83 |
2029 | 0.0000001746 | 0.00000003519 | 0.0000001024 | 442.05 |
In 2025, Grok1.5 is expected to trade between {$%price_min_year%} and $0.00000007586. The most profitable month could be December, with prices potentially increasing by 135.51%.
Month | Min. Price | Max. Price | Avg | Potential ROI |
---|---|---|---|---|
January | 0.00000003722 | 0.00000003855 | 0.00000003778 | 19.7 |
February | 0.00000003714 | 0.00000003839 | 0.00000003778 | 19.18 |
March | 0.00000003563 | 0.00000003787 | 0.00000003686 | 17.57 |
April | 0.00000003329 | 0.00000003625 | 0.00000003500 | 12.56 |
May | 0.00000003022 | 0.00000003394 | 0.00000003209 | 5.38 |
June | 0.00000002585 | 0.00000003036 | 0.00000002810 | -5.73 |
July | 0.00000002567 | 0.00000004526 | 0.00000003502 | 40.51 |
August | 0.00000004545 | 0.00000005307 | 0.00000004927 | 64.77 |
September | 0.00000005234 | 0.00000005988 | 0.00000005593 | 85.92 |
October | 0.00000005935 | 0.00000006558 | 0.00000006224 | 103.62 |
November | 0.00000006427 | 0.00000007164 | 0.00000006806 | 122.42 |
December | 0.00000006951 | 0.00000007586 | 0.00000007282 | 135.51 |
In 2026, Grok1.5 is expected to trade between {$%price_min_year%} and $0.00000009073. The most profitable month could be December, with prices potentially increasing by 181.67%.
Month | Min. Price | Max. Price | Avg | Potential ROI |
---|---|---|---|---|
January | 0.00000007400 | 0.00000007958 | 0.00000007705 | 147.07 |
February | 0.00000007834 | 0.00000008315 | 0.00000008047 | 158.14 |
March | 0.00000008176 | 0.00000008504 | 0.00000008358 | 164.01 |
April | 0.00000008377 | 0.00000008834 | 0.00000008591 | 174.27 |
May | 0.00000008615 | 0.00000008947 | 0.00000008771 | 177.76 |
June | 0.00000008715 | 0.00000009073 | 0.00000008917 | 181.67 |
July | 0.00000005949 | 0.00000009053 | 0.00000007014 | 181.06 |
August | 0.00000005564 | 0.00000006096 | 0.00000005818 | 89.26 |
September | 0.00000005071 | 0.00000005606 | 0.00000005373 | 74.05 |
October | 0.00000004584 | 0.00000005167 | 0.00000004909 | 60.43 |
November | 0.00000004179 | 0.00000004669 | 0.00000004424 | 44.95 |
December | 0.00000003656 | 0.00000004156 | 0.00000003899 | 29.03 |
In 2027, Grok1.5 is expected to trade between {$%price_min_year%} and $0.00000003632. The most profitable month could be December, with prices potentially increasing by 12.78%.
Month | Min. Price | Max. Price | Avg | Potential ROI |
---|---|---|---|---|
January | 0.00000003112 | 0.00000003632 | 0.00000003377 | 12.78 |
February | 0.00000002641 | 0.00000003103 | 0.00000002883 | -3.66 |
March | 0.00000002147 | 0.00000002666 | 0.00000002400 | -17.2 |
April | 0.00000001669 | 0.00000002169 | 0.00000001905 | -32.66 |
May | 0.00000001232 | 0.00000001666 | 0.00000001453 | -48.27 |
June | 0.000000008408 | 0.00000001224 | 0.00000001027 | -61.99 |
July | 0.000000005364 | 0.000000008281 | 0.000000006706 | -74.29 |
August | 0.000000005364 | 0.000000008046 | 0.000000006720 | -75.02 |
September | 0.000000005364 | 0.000000008046 | 0.000000006705 | -75.02 |
October | 0.000000005364 | 0.000000008046 | 0.000000006729 | -75.02 |
November | 0.000000005364 | 0.000000008046 | 0.000000006705 | -75.02 |
December | 0.000000005364 | 0.000000008046 | 0.000000006739 | -75.02 |
In 2028, Grok1.5 is expected to trade between {$%price_min_year%} and $0.00000003537. The most profitable month could be December, with prices potentially increasing by 9.83%.
Month | Min. Price | Max. Price | Avg | Potential ROI |
---|---|---|---|---|
January | 0.000000005364 | 0.000000008046 | 0.000000006748 | -75.02 |
February | 0.000000005364 | 0.000000008046 | 0.000000006659 | -75.02 |
March | 0.000000005364 | 0.000000008046 | 0.000000006748 | -75.02 |
April | 0.000000005364 | 0.000000008046 | 0.000000006705 | -75.02 |
May | 0.000000005364 | 0.000000008046 | 0.000000006662 | -75.02 |
June | 0.000000005364 | 0.000000008046 | 0.000000006563 | -75.02 |
July | 0.000000006928 | 0.00000001076 | 0.000000008848 | -66.57 |
August | 0.00000001091 | 0.00000001528 | 0.00000001307 | -52.53 |
September | 0.00000001550 | 0.00000001983 | 0.00000001771 | -38.43 |
October | 0.00000002002 | 0.00000002502 | 0.00000002250 | -22.32 |
November | 0.00000002491 | 0.00000003002 | 0.00000002760 | -6.8 |
December | 0.00000002989 | 0.00000003537 | 0.00000003285 | 9.83 |
In 2029, Grok1.5 is expected to trade between {$%price_min_year%} and $0.0000001746. The most profitable month could be December, with prices potentially increasing by 442.05%.
Month | Min. Price | Max. Price | Avg | Potential ROI |
---|---|---|---|---|
January | 0.00000003519 | 0.00000004481 | 0.00000004011 | 39.12 |
February | 0.00000004425 | 0.00000005370 | 0.00000004914 | 66.71 |
March | 0.00000005310 | 0.00000006408 | 0.00000005868 | 98.95 |
April | 0.00000006472 | 0.00000007646 | 0.00000007026 | 137.38 |
May | 0.00000007462 | 0.00000008929 | 0.00000008208 | 177.21 |
June | 0.00000008886 | 0.0000001002 | 0.00000009454 | 211.12 |
July | 0.0000001011 | 0.0000001155 | 0.0000001074 | 258.59 |
August | 0.0000001123 | 0.0000001262 | 0.0000001197 | 291.92 |
September | 0.0000001277 | 0.0000001418 | 0.0000001335 | 340.51 |
October | 0.0000001390 | 0.0000001540 | 0.0000001458 | 378.15 |
November | 0.0000001514 | 0.0000001640 | 0.0000001576 | 409.15 |
December | 0.0000001624 | 0.0000001746 | 0.0000001684 | 442.05 |