Recall (RECALL), as a decentralized skill market for AI, has made significant strides since its inception. As of 2025, Recall's market capitalization has reached $68,404,633, with a circulating supply of approximately 201,071,820 tokens, and a price hovering around $0.3402. This asset, known as the "AI Skill Marketplace," is playing an increasingly crucial role in the field of artificial intelligence and decentralized marketplaces.
This article will provide a comprehensive analysis of Recall's price trends from 2025 to 2030, considering historical patterns, market supply and demand, ecosystem development, and macroeconomic factors to offer professional price predictions and practical investment strategies for investors.
As of October 22, 2025, RECALL is trading at $0.3402, experiencing a 9.71% decrease in the last 24 hours. The token has a market capitalization of $68,404,633.164, ranking it 506th in the cryptocurrency market. RECALL's 24-hour trading volume stands at $10,203,897.9156, indicating active market participation.
The current price represents a significant drop from its all-time high of $0.6255, achieved just four days ago. This rapid decline suggests high volatility in the short term. The token is also trading above its all-time low of $0.2667, recorded five days ago, demonstrating the market's dynamic nature.
RECALL's fully diluted valuation is $340,200,000, with a circulating supply of 201,071,820 tokens out of a total supply of 1,000,000,000. The circulating supply ratio is approximately 20.11%, indicating that a significant portion of tokens are not yet in circulation.
The market sentiment for cryptocurrencies overall is currently in a state of "Extreme Fear" with a VIX of 25, which may be influencing RECALL's price performance.
Click to view the current RECALL market price
2025-10-22 Fear and Greed Index: 25 (Extreme Fear)
Click to view the current Fear & Greed Index
The crypto market is gripped by extreme fear, with the Fear and Greed Index plummeting to 25. This bearish sentiment suggests investors are hesitant and risk-averse. However, seasoned traders often view such periods as potential buying opportunities, adhering to the adage "be fearful when others are greedy, and greedy when others are fearful." As always, it's crucial to conduct thorough research and manage risks carefully before making any investment decisions in this volatile market.
The address holdings distribution data for RECALL reveals a highly concentrated ownership structure. The top address holds 29.22% of the total supply, while the top five addresses collectively control 70.03% of all tokens. This level of concentration raises concerns about potential market manipulation and price volatility.
Such a concentrated distribution could have significant implications for RECALL's market dynamics. With a small number of addresses controlling a large portion of the supply, there's an increased risk of price manipulation through large-scale buying or selling actions. Furthermore, this concentration may lead to reduced liquidity and higher price volatility, as any decisions made by these major holders could have outsized effects on the market.
This distribution pattern suggests a relatively low level of decentralization for RECALL, which could be a point of concern for investors seeking a more distributed token ecosystem. The high concentration in a few addresses may also indicate a less mature or less widely adopted project, potentially impacting its long-term stability and growth prospects.
Click to view the current RECALL holdings distribution
Top | Address | Holding Qty | Holding (%) |
---|---|---|---|
1 | 0x1dae...fc38bb | 292266.50K | 29.22% |
2 | 0xefe8...1bc0a3 | 228215.47K | 22.82% |
3 | 0xaf7b...2d058f | 75000.00K | 7.50% |
4 | 0xe4e2...bf71fa | 68598.21K | 6.85% |
5 | 0x6a30...82dfff | 36407.59K | 3.64% |
- | Others | 299512.23K | 29.97% |
Machine Learning Models: Predictive models using machine learning, such as GRU-RNN (Gated Recurrent Unit - Recurrent Neural Network), have shown promising results in stock trend prediction. For example, one study reported an average prediction accuracy of 82.7% for selected stocks.
Large Language Models: Combining financial data with news articles using large language models has shown potential in predicting stock price movements. These models can extract relevant information from text data to complement traditional financial indicators.
年份 | 预测最高价 | 预测平均价格 | 预测最低价 | 涨跌幅 |
---|---|---|---|---|
2025 | 0.49509 | 0.3391 | 0.32554 | 0 |
2026 | 0.56725 | 0.41709 | 0.36287 | 22 |
2027 | 0.63982 | 0.49217 | 0.28054 | 44 |
2028 | 0.83201 | 0.566 | 0.37922 | 66 |
2029 | 0.7689 | 0.699 | 0.4893 | 105 |
2030 | 1.0202 | 0.73395 | 0.55781 | 115 |
(1) Long-term Holding Strategy
(2) Active Trading Strategy
(1) Asset Allocation Principles
(2) Risk Hedging Solutions
(3) Secure Storage Solutions
RECALL offers potential long-term value in the growing AI marketplace, but faces short-term risks from market volatility and regulatory uncertainty.
✅ Beginners: Start with small positions, focus on learning the technology ✅ Experienced investors: Consider dollar-cost averaging and set clear exit strategies ✅ Institutional investors: Conduct thorough due diligence and consider OTC trading for large positions
Cryptocurrency investments carry extremely high risk, and this article does not constitute investment advice. Investors should make decisions carefully based on their own risk tolerance and are advised to consult professional financial advisors. Never invest more than you can afford to lose.
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