

Wisdomise AI (WSDM) is a Switzerland-regulated AI-powered investment platform designed to democratize wealth creation and improve global financial inclusion. Since its launch in May 2024, the project has established itself as an innovative solution combining proprietary AI insights with automated financial instruments for risk-adjusted cryptocurrency market investments. As of December 31, 2025, WSDM has achieved a market capitalization of approximately $293,698.65, with a circulating supply of around 487.87 million tokens trading at $0.000602. This emerging digital asset is playing an increasingly important role in the decentralized finance ecosystem through its governance and utility mechanisms.
This article will provide a comprehensive analysis of WSDM's price trends and market dynamics, incorporating historical performance data, supply-demand fundamentals, and ecosystem development factors. By examining these key variables, we aim to deliver professional price forecasts and practical investment strategies for market participants seeking exposure to this AI-powered investment platform token.
As of December 31, 2025, WSDM is trading at $0.000602, with a 24-hour trading volume of approximately $62,216.91. The token exhibits short-term volatility, showing a gain of 0.08% over the past hour, while declining 0.61% over 24 hours and 0.08% over the past 7 days. The market capitalization stands at $293,698.65, with a fully diluted valuation of $602,000. The circulating supply comprises 487,871,512.03 tokens out of a total supply of 1,000,000,000 tokens, representing 48.79% circulation ratio. The token maintains a market dominance of 0.000018%, indicating a minimal share of the broader cryptocurrency market. With 8,522 token holders and active trading on Gate.com, WSDM maintains continued ecosystem participation despite the significant year-long depreciation.
View current WSDM market price

2025-12-31 Fear and Greed Index: 21 (Extreme Fear)
Click to view current Fear & Greed Index
The crypto market is experiencing extreme fear, with the Fear and Greed Index plummeting to 21. This unprecedented level of panic indicates investors are heavily risk-averse, presenting potential opportunities for contrarian traders. When sentiment reaches such extremes, historically volatile rebounds often follow. Consider dollar-cost averaging into positions and monitoring support levels closely. On Gate.com, you can track real-time market sentiment and make informed decisions. While extreme fear signals caution, savvy investors use these moments to identify undervalued assets. Remember, market cycles are inevitable—fear often precedes recovery.

The address holdings distribution chart illustrates the concentration of WSDM tokens across different wallet addresses on the blockchain. This metric reveals the degree of token centralization and provides critical insights into potential market risks, including large holder influence on price movements and market stability. By analyzing the top holders and comparing their combined holdings against the broader token distribution, investors can assess the decentralization level and structural vulnerabilities of the token ecosystem.
Based on the current data, WSDM exhibits moderate concentration characteristics. The top five addresses collectively control approximately 48.54% of the total token supply, with the largest holder accounting for 12.09% and the second-largest holding 10.64%. While no single address demonstrates extreme dominance, the cumulative concentration of the top five addresses suggests a moderately centralized distribution structure. The remaining 51.46% of tokens distributed among other addresses indicates that a majority of the token supply is dispersed across numerous holders, which serves as a counterbalance to the concentration among the top five positions.
This distribution pattern carries meaningful implications for market dynamics. The concentration among top holders creates potential for significant price volatility if these addresses initiate large-scale transactions. However, the presence of a substantial non-concentrated holder base (51.46%) provides liquidity depth and reduces the likelihood of coordinated market manipulation by a single actor. The current structure suggests WSDM maintains a reasonably balanced decentralized profile, though continued monitoring of top holder activities remains prudent for assessing medium-term market stability and identifying potential accumulation or distribution trends that could influence broader market sentiment.
Click to view current WSDM Holdings Distribution

| Top | Address | Holding Qty | Holding (%) |
|---|---|---|---|
| 1 | 0x51e3...bc75e0 | 120979.33K | 12.09% |
| 2 | 0xf91b...ab798d | 106458.33K | 10.64% |
| 3 | 0x0529...c553b7 | 104265.54K | 10.42% |
| 4 | 0x59a7...ce79e2 | 86350.00K | 8.63% |
| 5 | 0x24e0...3f63d0 | 67600.00K | 6.76% |
| - | Others | 514346.81K | 51.46% |
Historical Price Movement: WSDM reached its all-time high of $0.16 on May 14, 2024, while recording its lowest price of $0.0006331 on October 29, 2025. This significant price fluctuation reflects the impact of market sentiment, user adoption rates, and external factors on the token's valuation.
Current Market Dynamics: Price volatility continues to be driven by shifts in market sentiment and investor confidence in the project's long-term prospects.
Technical Evolution: The project's future price trajectory is closely tied to ongoing technological innovations and improvements to the underlying infrastructure supporting web search and data mining functionalities.
Ecosystem Growth: The expansion of ecosystem applications and integration of emerging technologies will play a critical role in determining investor confidence and market adoption rates.
Supply and Demand Dynamics: Market supply and demand relationships, combined with broader macroeconomic conditions, are expected to significantly influence WSDM's price performance through 2025 and beyond.
Investment Considerations: Investors should maintain focus on technological development progress and real-time market dynamics when evaluating investment opportunities in WSDM, with analysis conducted through platforms such as Gate.com for market data and insights.
| 年份 | 预测最高价 | 预测平均价格 | 预测最低价 | 涨跌幅 |
|---|---|---|---|---|
| 2025 | 0.00064 | 0.0006 | 0.00049 | 0 |
| 2026 | 0.00067 | 0.00062 | 0.00052 | 3 |
| 2027 | 0.00092 | 0.00064 | 0.00062 | 7 |
| 2028 | 0.00113 | 0.00078 | 0.00067 | 29 |
| 2029 | 0.00117 | 0.00096 | 0.00058 | 58 |
| 2030 | 0.0015 | 0.00106 | 0.00066 | 76 |
Wisdomise AI (WSDM) is a Switzerland-regulated AI-powered intelligence and investment platform designed to democratize wealth creation in the cryptocurrency market. As of December 31, 2025, WSDM trades at $0.000602 with a market capitalization of $293,698.65 and a fully diluted valuation of $602,000. The token serves as the sole currency and governance mechanism within the Wisdomise ecosystem, offering utilities including yield farming, liquid staking, preferential access, loss protection, and governance rights.
Key Metrics Overview:
The WSDM token has experienced significant volatility since its launch:
| Time Period | Price Change | Change Amount |
|---|---|---|
| 1 Hour | +0.08% | +0.000000481215027978 |
| 24 Hours | -0.61% | -0.000003694737901197 |
| 7 Days | -0.08% | -0.000000481985588471 |
| 30 Days | -1.18% | -0.000007188423396074 |
| 1 Year | -93.96% | -0.009364887417218542 |
The token's severe one-year decline of 93.96% from launch price of $0.03 reflects significant market challenges and reduced investor interest. However, recent stabilization near all-time lows suggests potential support levels.
Target Investors: Early-stage believers in AI-powered investment platforms, ecosystem participants seeking governance participation, and long-term cryptocurrency investors with high risk tolerance.
Operation Guidelines:
Technical Analysis Considerations:
Wave Trading Considerations:
Given the token's nascent stage, extreme volatility, and 93.96% annual decline, conservative allocation approaches are strongly recommended regardless of investor profile.
Hot Wallet Storage:
Cold Storage Best Practices:
Critical Security Considerations:
Wisdomise AI represents a speculative investment in an early-stage, Switzerland-regulated AI investment platform. While the project's vision of democratizing wealth creation through AI-powered tools is compelling, execution risks remain substantial. The 93.96% annual price decline, limited liquidity (1 exchange listing), and only 8,522 token holders indicate the project has struggled to achieve mainstream adoption.
Current pricing near all-time lows may present a contrarian accumulation opportunity for risk-tolerant investors believing in long-term platform success, but this thesis remains unproven. The upcoming ecosystem expansion integrating select dApps and DeFi protocols represents a critical inflection point; successful execution could drive renewed investor interest, while delays or technical issues could further pressure valuations.
✅ For Beginners:
✅ For Experienced Investors:
✅ For Institutional Investors:
Cryptocurrency investments carry extreme risk and are highly volatile. This report does not constitute investment advice. Investors must assess their individual risk tolerance and financial situation before making investment decisions. Strongly consider consulting a professional financial advisor before investing in speculative cryptocurrencies like WSDM. Never invest more than you can afford to lose completely. Past performance does not guarantee future results.
WSDM price prediction is an analytical method for forecasting Wisdomise AI token prices. It is primarily applied in cryptocurrency trading, investment analysis, and market trend assessment to help users make informed decisions.
WSDM price prediction requires historical price data, trading volume, market capitalization, on-chain metrics, sentiment analysis, technical indicators, and macroeconomic factors as key data sources and features.
Common WSDM price prediction models include linear regression, decision trees, random forests, support vector machines (SVM), and neural networks. Choose models based on data characteristics and prediction requirements for optimal results.
Evaluate WSDM prediction models through backtesting against historical data, comparing predicted versus actual prices, analyzing error metrics like RMSE and MAE, assessing consistency across different market conditions, and monitoring real-time prediction accuracy against trading volume patterns.
WSDM price prediction encounters sparse data availability, volatile market dynamics, and limited historical patterns. Cold start problems, insufficient trading volume, and inaccurate market sentiment analysis significantly constrain prediction accuracy and reliability.
Deep learning excels at capturing complex non-linear patterns in WSDM price movements, offering higher prediction accuracy. However, it requires substantial computational resources. Traditional machine learning is more interpretable and efficient with smaller datasets, but struggles with complex market dynamics. Deep learning is better for large-scale price prediction tasks.











