If you’re new to cryptocurrency investing, feeling overwhelmed is common. With more than 6,000 cryptocurrencies, a multitude of trading platforms, and round-the-clock markets, knowing where to begin can seem daunting.

Fortunately, you don’t need to master blockchain or spend countless hours analyzing charts. Token Metrics AI indices offer a straightforward, research-driven entry point for beginners, removing complexity and minimizing guesswork.

Just as the S&P 500 index simplifies stock investing, crypto indices provide diversified exposure to quality assets through a single portfolio. This guide unpacks everything you need to know to start with Token Metrics AI indices—confidently and securely.

What Exactly Are Crypto Indices?

A crypto index is a curated basket of cryptocurrencies, each selected and managed according to specific criteria. Rather than individually picking tokens, investors gain access to pre-built portfolios that automatically adapt to market changes.

How Token Metrics Indices Work

Token Metrics integrates artificial intelligence and machine learning to evaluate over 80 data points for every crypto asset, including

The AI synthesizes this data to select top-performing cryptocurrencies for each index and automatically rebalances portfolios on a schedule (weekly, monthly, or quarterly), aligned with your chosen investment strategy.

The Token Metrics Advantage

Understanding Different Types of Token Metrics Indices

Token Metrics provides 14+ indices tailored to various goals and risk profile

Tokens within each index are selected and weighted by Token Metrics algorithms to maintain the desired risk-reward balance.

Which Index Should You Choose as a Beginner?

Beginners are often best served by starting with the Balanced Investor Index, which offers quarterly or annual rebalancing. This approach provides diversified exposure to proven projects, infrequent maintenance, and space to learn progressively.

As your familiarity grows, consider exploring active trading or sector-driven strategies according to your comfort with market cycles and research.

Getting Started: Your 5-Step Action Plan

Ready to make the leap? Here’s a step-by-step road map:

Three Common Beginner Mistakes (And How to Avoid Them)

Understanding Dollar-Cost Averaging (DCA) for Beginners

Dollar-cost averaging (DCA) is a strategy where investors commit a fixed amount at regular intervals—regardless of market conditions.

A simple DCA approach: Invest the same sum on the same day each month into your Token Metrics index allocations, building wealth methodically over time.

Essential Security Tips for Beginners

Adopt strict security practices from the start:

Realistic Expectations: What Returns Can You Expect?

Crypto is known for outsized moves, but results vary with market cycles:

Establish expectations over a five-year window, prioritizing steady growth and disciplined allocation rather than chasing quick profits. Historical performance is informative but not predictive.

Building Your Knowledge Over Time

A methodical approach helps you evolve:

Next Steps: Taking Action Today

The most impactful step is starting. Use the following checklist to guide your first month:

Final Thoughts: Your Crypto Investment Journey Begins

Using Token Metrics AI indices places beginners at a distinct advantage—minimizing rookie errors and capitalizing on institutional-grade analysis. Follow core tenets: start modestly, prioritize learning, stay disciplined, diversify, and rebalance periodically.

The crypto economy offers meaningful opportunities for calculated, patient investors. With a focused, research-driven approach like that offered by Token Metrics, you gain access to sophisticated strategies and insights from your very first day.

Your path to building a resilient crypto portfolio begins with a single, informed choice.

Discover Crypto Gems with Token Metrics AI

Token Metrics uses AI-powered analysis to help you uncover profitable opportunities in the crypto market. Get Started For Free

FAQ: Token Metrics AI Indices and Crypto Index Investing

What is a crypto index and how does it work?

A crypto index is a diversified portfolio of cryptocurrencies chosen based on specific themes, fundamental criteria, or market conditions. Token Metrics’ indices use AI and data-driven analytics to select and rebalance holdings with the goal of simplifying exposure to the crypto market.

What makes Token Metrics indices different from picking cryptocurrencies myself?

Token Metrics leverages AI to analyze thousands of data points, automating research and portfolio selection that would be time-consuming to perform manually. This reduces bias, streamlines asset rotation, and enhances risk management compared to individual selection.

How much of my portfolio should I allocate to crypto using Token Metrics indices?

While portfolio allocation depends on individual circumstances, many educational resources suggest a starting range of 3–10% of investable assets for beginners. Always assess personal risk tolerance before choosing an allocation.

Is dollar-cost averaging (DCA) a good approach with Token Metrics indices?

DCA can help beginners avoid market timing pitfalls by investing a fixed amount consistently over time. This method encourages discipline and can smooth out volatility when followed long-term.

How can I keep my crypto index investments safe?

Prioritize security by enabling two-factor authentication, using strong passwords, keeping major holdings in a hardware wallet, and never sharing private keys. Avoid posting sensitive data or investment details online.

Disclaimer

This article is for informational and educational purposes only. It does not constitute financial, investment, or tax advice. Cryptocurrency investing involves risk, and past performance is not indicative of future results. Always conduct your own research and seek independent professional advice before making investment decisions.

Crypto indices have revolutionized diversification and portfolio management, but real outperformance hinges on how intelligently you use platforms like Token Metrics. Unlocking their full potential takes more than passive investing—it requires a blend of AI insights and disciplined strategy.

Understanding Token Metrics' AI-Powered Edge

Token Metrics indices stand out thanks to AI-driven technology analyzing over 80 data points per token. These cover a wide array of crypto themes—Memecoins, RWAs, AI Agents, DeFi, Layer 1s, and more—and are fine-tuned with weekly rebalancing based on dynamic market signals.

• Fundamental Metrics: Team quality, tech innovation, use-case viability
• Technical Indicators: Moving averages, RSI, MACD, support/resistance
• On-Chain Data: Transaction volume, active wallets, network growth
• Sentiment: Social/media trends, community activity, news flow
• Market Dynamics: Liquidity, volume, cap trends
• Code Quality: GitHub commits, development, audits

This robust data suite, coupled with frequent rebalancing, enables responsive and intelligent index management, optimizing exposure to compounding opportunities while mitigating market risks.

Strategy #1: Multi-Index Allocation for Smart Diversification

A common pitfall is putting all your capital into a single index. Top performers, however, diversify across multiple Token Metrics indices, targeting different market segments to balance stability and growth.

Consider a three-tier framework:

• Tier 1 – Core Stability (50-60%): Focus on large-cap, fundamentally strong projects via an Investor Index (annual rebalancing).
• Tier 2 – Growth Engine (25-35%): Allocate to a Trader Index (weekly rebalancing), targeting mid-cap momentum tokens.
• Tier 3 – High-Octane Opportunity (10-20%): Choose sector-specific indices (AI, Memecoins, DeFi) for emerging narratives with asymmetric upside.

This structure ensures you capture core market resilience, trend-led growth, and high-risk/high-reward opportunities.

Dynamic reallocation based on market cycles further refines the strategy:

• Bull Market: Increase growth and high-octane allocations.
• Bear Market: Shift to core stability to preserve capital.
• Sideways Market: Maintain a balanced approach.

Token Metrics' Market Analytics can inform these allocation shifts using data-driven bullish or bearish signals.

Strategy #2: Sector Rotation to Follow the Leaders

Different crypto sectors peak at different points in the macro cycle. By monitoring Token Metrics' sector-specific indices, investors can rotate allocations to capture the strongest trends.

Typical cycle stages:

• Early Bull: Bitcoin, major Layer 1s dominate; focus on core indices.
• Mid Bull: DeFi and alt-Layer 1s gain traction.
• Late Bull: High-beta sectors (AI, Gaming, Memecoins) lead performance.
• Bear: Quality consolidates, stablecoins rise, core indices regain value.

A tactical example: Begin with 60% in an Investor Index during an early bull phase, then pivot a portion to sector leaders as outperformance emerges, using clear quantitative signals from Token Metrics analytics.

Don’t try to predict sector winners; let relative performance guide your rotation decisions.

Strategy #3: Choose the Right Time Horizon Through Rebalancing

Each investor’s available time and risk tolerance should match the index’s rebalancing schedule. Token Metrics provides:

• Daily/Weekly Rebalancing: For active users, allows agile adaptation to market changes, but requires frequent oversight.
• Monthly/Quarterly: Suitable for those with less time, providing systematic adjustments with lower volatility.

Misaligning your activity level with rebalancing frequency can mean missed signals or excessive trading costs. Honest self-assessment leads to better index selection and results.

Strategy #4: Enhance Results with Smart Dollar-Cost Averaging (DCA)

Classic lump-sum investing exposes you to timing risk. Strategic DCA smooths entries, especially when adapted to market signals:

• Deploy a portion of capital initially, then invest systematically over time.
• Increase allocation during market dips (e.g., 10-30% declines) and scale back after notable rallies.
• Split DCA into scheduled, volatility-triggered, and "crash reserve" buckets for more targeted accumulation.

Such approaches can be tailored with Token Metrics' analytic tools and AI-powered signals.

Strategy #5: Systematic Risk Management and Position Sizing

Disciplined risk rules are essential to avoiding outsized losses. Key principles include:

• Limit total crypto exposure (e.g., 5-25% of net worth depending on risk tolerance).
• Sub-divide crypto holdings across conservative, moderate, and aggressive index types.
• Apply stop-loss and drawdown triggers at both portfolio and index level.
• Periodically rebalance to target allocations—especially after large gains or losses.

Portfolio discipline enables long-term participation and helps minimize drawdowns.

Strategy #6: Strategic Rebalancing Between Indices

Active rebalancing adjusts exposure as market conditions evolve—not just at set intervals. Quarterly reviews help identify outperformers to trim, underperformers to top up, and spot for new opportunities.

Monitor index correlations to ensure real diversification. Use data from Token Metrics' analytics to guide dynamic weight changes if bullish or bearish triggers are hit.

Strategy #7: Unleashing the Full Token Metrics Ecosystem

Take advantage of Token Metrics’ full feature set to maximize insights and execution quality:

1. AI Chatbot: Receives market predictions, analysis, and answers to portfolio questions.
2. Token Grades: Scores out of 100 provide granular analysis for individual cryptos.
3. Research Reports: In-depth sector analysis and actionable insights.
4. Trading Signals: Tactical tools for timing entries and DCA deployments.
5. API Access: For advanced users, allowing custom execution and workflow automation.

Structuring a weekly routine with market check-ins, grade reviews, and strategy adjustments ensures you stay disciplined and data-driven. Leverage all Token Metrics tools for robust, systematic investing.

Avoiding Common Mistakes and Measuring Real Performance

Frequent pitfalls include over-trading, ignoring risk controls, emotional overrides of AI signals, insufficient diversification, forgetting taxes, and chasing hype. Sticking to the above frameworks and monitoring KPIs like absolute return, Sharpe ratio, drawdowns, and portfolio health can keep performance on track.

Effective performance measurement includes:

• Comparing returns to BTC and ETH benchmarks
• Tracking risk-adjusted metrics (Sharpe ratio, drawdown)
• Monitoring adherence to allocation and execution rules

Regular performance and process auditing can lead to continuous improvement.

Real-World Scenarios and Action Plans

Three illustrative approaches:

• Conservative: Low allocation, focus on core indices, apply DCA, review annually.
• Moderate: Blend core/growth indices, quarterly rebalancing, and sector rotation.
• Aggressive: Higher risk, active rotation, profit-taking, and time-intensive management.

Regardless of style, following a clear 30-day roadmap—risk assessment, strategic setup, ongoing refinement—positions you for systematic, data-driven execution over the long term.

Conclusion: Succeeding with Token Metrics Indices

Success stems from synergy: Multi-index allocation, sector rotation, time-matched rebalancing, advanced DCA, rigorous risk management, active rebalancing, and full use of Token Metrics’ AI ecosystem work best together. Even partial adoption can improve outcomes versus passive approaches, while full mastery unlocks maximum performance through discipline and superior analytics.

The journey to consistent crypto performance favors intelligent frameworks and systematic execution. By aligning human strategy with AI insights, investors can aim to capture attractive results while managing risk responsibly.

Discover Crypto Gems with Token Metrics AI

Token Metrics uses AI-powered analysis to help you uncover profitable opportunities in the crypto market. Get Started For Free

FAQs

What makes Token Metrics indices unique?

Token Metrics indices utilize AI and 80+ data points per token, paired with dynamic rebalancing, enabling more adaptive, diversified, and data-informed exposure than traditional indices.

How does weekly rebalancing impact portfolio performance?

Frequent rebalancing helps capture gains, prune underperformers, and stay aligned with emerging trends—compounding results and maintaining optimal portfolios throughout market cycles.

Should I use multiple Token Metrics indices or focus on one?

Diversifying across several indices affords stability while allowing portions of the portfolio to chase growth or sector-specific opportunities, reducing concentrated risk.

How can I decide my crypto allocation and position sizes?

Assess your risk tolerance and time horizon. Use established rules—like capping crypto at a fraction of your net worth—and diversify within crypto between core, growth, and opportunity indices.

Is Token Metrics only for advanced users?

No. Token Metrics offers accessible indices and tools for beginners, plus granular analytics, APIs, and automation features for advanced investors seeking a data-powered edge.

Disclaimer

This guide is for educational and informational purposes only. Nothing contained herein constitutes investment advice, financial recommendations, or a guarantee of results. Crypto assets are volatile and may not be suitable for all investors. Please consult a qualified financial advisor and conduct your own research before making financial decisions. Past performance is not indicative of future outcomes.

Every crypto investor faces a critical decision: Should you pick individual tokens through manual research, or trust AI-powered indices to build and manage your portfolio?

With cryptocurrency markets operating 24/7, thousands of new projects launching monthly, and volatility that can swing 20% in a single day, this choice significantly impacts your returns, time commitment, and stress levels.

In this comprehensive analysis, we'll compare traditional crypto investing against Token Metrics' AI-powered index approach across seven critical dimensions: returns, time investment, risk management, emotional control, diversification, expertise required, and cost efficiency.

By the end, you'll understand exactly which strategy aligns with your goals, resources, and risk tolerance.

Understanding the Two Approaches

Traditional Crypto Investing: The DIY Method

• Researching individual projects through whitepapers and documentation
• Analyzing tokenomics, team backgrounds, and use cases
• Monitoring social media sentiment and community engagement
• Tracking technical indicators and price charts
• Timing buy and sell decisions manually
• Rebalancing portfolios based on personal judgment
• Managing risk through position sizing and stop losses

Best For: Experienced traders, crypto natives, full-time investors with deep market knowledge

AI-Powered Index Investing: The Automated Method

• Pre-selected baskets of quality tokens based on machine learning analysis
• Automated portfolio rebalancing on weekly, monthly, or quarterly schedules
• Diversification across multiple assets reducing single-token risk
• Data-driven decisions analyzing 80+ metrics per token
• Professional-grade research without requiring expertise
• Time-efficient investing requiring minimal daily involvement

Best For: Busy professionals, crypto newcomers, investors seeking consistent long-term growth

Round 1: Performance and Returns

Traditional Investing Performance

Potential Upside:

• Concentrated positions in winners can deliver explosive 10x-100x returns
• Early entry into hidden gems before mainstream discovery
• Flexibility to pivot quickly when narratives shift
• Ability to take profits at optimal moments

The Reality: According to industry research, 95% of traders lose money in cryptocurrency markets. The primary reasons include:

• Picking wrong projects (many are scams or poorly executed)
• Poor timing on entries and exits
• Overtrading and excessive fees
• Emotional decisions during volatility
• Lack of proper risk management

Example: An investor researches and buys 10 altcoins in January. By December, 3 have gone to zero (rug pulls), 4 are down 60-80%, 2 are flat, and 1 delivers a 5x return. Despite one winner, the portfolio is down 35% overall.

AI-Powered Index Performance

Token Metrics delivers AI-selected crypto baskets with a documented track record of strong historical performance, though past results do not guarantee future outcomes.

• Systematic removal of underperformers before major losses
• Automatic rebalancing captures gains from winners
• Diversification prevents catastrophic losses from single failures
• AI identifies emerging trends before human pattern recognition
• Consistent methodology eliminates emotional decisions

Research indicates that modest crypto index allocations of 1-3% have historically improved portfolio efficiency without meaningfully increasing risk, delivering improved returns, higher Sharpe ratios, and controlled drawdowns.

Backtested results show Token Metrics indices demonstrate consistent outperformance versus Bitcoin-only strategies, with the Trader Index performing strongly when actively managed with scheduled rebalancing.

Summary: AI-powered indices often provide more consistent, risk-adjusted returns. Traditional investing offers potential for outlier performance, but with higher associated risks.

Round 2: Time Investment Required

Traditional Investing Time Commitment

• Daily: 3.5–6 hours (monitoring, reading news, analyzing charts, research, community engagement)
• Weekly: 8–12 hours (deep research, rebalancing, documentation, ongoing education)
• Annual: 1,200–2,400 hours (equivalent to a part-time to full-time job)

AI-Powered Index Time Commitment

• Daily: 15–25 minutes (portfolio check, review major news)
• Weekly/Monthly: 45–60 minutes (review index notifications, minor adjustments)
• Annual: 50–100 hours (96% time reduction compared to traditional)

For example, a portfolio manager earning $75/hour can save over $80,000 in opportunity cost by adopting automated indices versus manual management.

Summary: AI-powered indices drastically reduce the time commitment, making them ideal for busy professionals.

Round 3: Risk Management Effectiveness

Traditional Investing Risk Profile

Common risks include:

• Concentration risk from favorite projects
• Recency bias and FOMO trading
• Loss aversion and survivor bias

Surveys indicate 67% of investors struggle with position sizing and 58% admit to making emotional decisions during volatility.

Tools such as stop losses, position sizing, and guidelines are often inconsistently applied.

AI-Powered Index Risk Management

• Automatic Diversification: Each index spreads risk across multiple assets, with individual token weights capped, and minimum liquidity thresholds enforced.
• Dynamic Allocation: Indices can reduce exposure or shift to stablecoins in bearish conditions. For example, during the 2022 bear market, Token Metrics indices reduced altcoin exposure by 40%, protecting capital.
• Quality Screening: Tokens pass filters for fundamentals, code quality, liquidity, and sentiment.
• Systematic Rebalancing: Scheduled rebalancing locks gains, eliminates underperformers, and maintains target risk levels.

Institutional portfolio data suggests index strategies experience 30–40% lower volatility with similar returns, resulting in improved Sharpe ratios.

Summary: AI-powered indices deliver systematic risk management, helping avoid common human decision traps.

Round 4: Emotional Control and Discipline

The Psychology of Traditional Investing

• FOMO in bull markets, panic selling in bear markets
• Dunning-Kruger effect: 87% of traders rate themselves above average, yet 95% lose money
• Decision fatigue from constant trading choices

Example: An investor purchases ETH after research at $1,800, sells at $1,200 during a downturn out of fear, and misses the rebound to $2,500—impacting both returns and emotions.

Advantage of Algorithmic Discipline

• AI execution is emotionless: no fear, greed, regret, or impatience
• Consistent, rules-based methodology incorporating multiple forms of analysis
• User surveys with Token Metrics indicate a 73% reduction in investment-related stress compared to manual trading

Summary: Removing emotion and enforcing discipline is a major benefit of algorithmic strategies like Token Metrics indices.

Round 5: Diversification and Portfolio Construction

Traditional Diversification Challenges

• False diversification due to holding correlated tokens
• Over-diversification (too many positions) or under-diversification (too few)
• Sector bias limiting exposure to specific categories

Research suggests that holding 12–20 quality tokens maximizes diversification benefits without unnecessary complexity.

AI-Powered Strategic Diversification

• By Market Cap: Balances large, mid, and small-cap tokens
• By Sector: Includes exposure to AI, DeFi, Layer 1s, Gaming, RWA, and more via sector-specific indices
• By Strategy: Offers indices for value, growth, balanced, and time horizons
• Correlation matrices analyzed to avoid over-concentration

Summary: AI-powered indices enable systematic, multi-dimensional portfolio construction for genuine diversification.

Round 6: Expertise and Learning Curve

Expertise Required for Traditional Investing

• Mastery of technical analysis, fundamentals, and operational best practices
• 12–24 months to competency; 78% of new investors lose money within the first year

Accessibility of AI-Powered Indices

• Simple onboarding: select investor profile, horizon, and style
• Token Metrics transparency allows users to learn from index methodology and analytics
• Tutorials, webinars, and reports provide additional educational support
• Progressive sophistication: start basic, explore advanced indices over time

Summary: AI-powered indices democratize investing, reducing the learning curve and increasing accessibility.

Round 7: Cost Efficiency Analysis

Traditional Investing Costs

• Trading fees (0.1–0.5% per trade), gas fees, spread/slippage, and withdrawal fees
• Additional costs: subscriptions to research platforms, analysis tools, news services
• Annual active trading can cost $5,000–$12,000+ including direct and indirect costs

AI-Powered Index Costs

• Token Metrics subscription: free for basic info, $50–$200/month for advanced features
• Lower overall costs: annual expenditure can be 40–60% less than manual trading, with dramatic time savings
• Potential for the system to pay for itself if indices outperform by even a small margin

Summary: AI indices lower direct costs, reduce opportunity cost of time, and offer improved value for most investors.

Real-World Case Studies

Case Study 1: The Overwhelmed Professional

• Sarah, a busy engineer, struggled to achieve results with manual research and emotional trading.
• After switching to Token Metrics' Balanced Investor Index, she observed improved returns and better work-life balance.

Case Study 2: The Experienced Trader

• Mike, a skilled day trader, devoted major time to trading but experienced high stress and inconsistent results.
• A hybrid approach—with 70% in Token Metrics indices and 30% in active trades—provided stronger performance and reduced time commitment.

Case Study 3: The Institutional Investor

• A family office seeking structured crypto exposure leveraged institutional-grade Token Metrics indices to meet compliance and reporting requirements, achieving their goals without dedicating resources to full-time crypto specialists.

When Traditional Investing Makes Sense

While AI-powered indices hold clear advantages, there are scenarios where a traditional approach is more appropriate:

• Specialized expertise in specific sectors
• Access to early-stage or private investment opportunities
• Desire for highly concentrated, conviction-driven bets
• Complex tax optimization requirements
• Ambitious learning goals to become a professional trader

The Hybrid Approach: Best of Both Worlds

Many sophisticated investors combine both strategies:

• Core: 70–80% in diversified AI-powered indices
• Satellite: 20–30% in tactical individual opportunities

Benefits:

• Downside protection from diversified core
• Upside potential through targeted positions
• Reduced overall time commitment

Implementation: Establish index core, set allocation rules, regularly review active positions, and adjust based on outcomes and available resources.

Making Your Decision: A Framework

Consider the following when choosing your approach:

• Traditional: Suited for those with significant time, proven expertise, and strong emotional discipline
• AI-Powered Indices: Designed for investors focused on efficiency, consistent returns, and reduced stress
• Hybrid: Optimal for investors seeking both stability and occasional alpha from active research

The Future: Evolution of Crypto Index Investing

• AI Enhancement: Incorporating real-time sentiment, on-chain analytics, and predictive modeling
• Tokenized Index Products: Allowing for direct, on-chain investment with lower costs and increased composability
• Personalized Robo-Advisors: Custom allocations based on risk profile and financial goals
• Institutional Integration: Professional custody, compliance, and analytics features for large organizations

The landscape is evolving rapidly and Token Metrics remains at the forefront of innovation in this space.

Conclusion: The Verdict

After comparing across all critical dimensions, AI-powered crypto indices offer a highly efficient path to market participation for most investors—delivering consistent returns, systematic risk management, and major time savings. Traditional investing remains valuable for those with specialized expertise, unlimited time, or unique access. However, the majority will benefit from the discipline, structure, and automation of AI-based index strategies.

Token Metrics provides a full suite of indices, analytics, and education for both beginners and advanced users. With over a dozen indices spanning strategies, sectors, and timeframes—and robust tools to support decision-making—investors can find a product that aligns with their needs.

The real question: Which Token Metrics index best matches your goals and risk profile?

Take Action: Your Next Steps

1. Honestly assess your time, knowledge, and discipline
2. Explore Token Metrics indices and features
3. Consider starting small and tracking performance versus manual strategies
4. Scale allocation as you gain experience and confidence

The crypto market moves quickly—AI-powered indices offer a practical, research-backed way to participate without the typical tradeoffs of manual investing.

The future of crypto investing is not selecting individual tokens; it’s selecting the right AI system to do it for you.

Discover Crypto Gems with Token Metrics AI

Token Metrics uses AI-powered analysis to help you uncover profitable opportunities in the crypto market. Get Started For Free

FAQ: What are AI-powered crypto indices?

AI-powered crypto indices use machine learning to select, weight, and rebalance baskets of cryptocurrencies based on dozens of quantitative and qualitative metrics. This approach aims to provide systematic exposure to high-potential tokens while reducing individual asset risk and eliminating emotional decision-making.

FAQ: Are Token Metrics indices safe for beginners?

While all investing carries risk, Token Metrics indices are designed to lower barriers for beginners by providing diversified, rule-based exposure and minimizing common pitfalls such as emotional trading and poor diversification. Education and transparency are key priorities.

FAQ: How often are AI indices rebalanced?

Rebalancing frequency varies by index—Trader indices may be rebalanced weekly or bi-weekly, while long-term Investor indices are typically rebalanced monthly or quarterly. Notifications are provided through the platform.

FAQ: How much do Token Metrics indices cost?

Token Metrics offers a free tier with limited analytics and educational content. Premium plans range from $50 to $200 per month, providing full index access, analytics, trading signals, and AI-powered tools.

FAQ: Can I use both active and AI-powered investing strategies?

Yes, many investors combine an AI-powered index core with satellite active positions. This "core-satellite" approach offers diversification, systematic risk management, and targeted exposure to high-conviction ideas.

Disclaimer

This content is for informational and educational purposes only and does not constitute investment, financial, or other advice. Past performance is not indicative of future results. Please conduct your own research and consult a qualified financial professional before making any investment decisions. Use of Token Metrics platform and tools is subject to all applicable terms and regulations.