Latest Crypto News, Blogs, Articles & Stories

3 min

Big news: We’re cranking up the heat on AI-driven crypto analytics with the launch of the Token Metrics API and our official SDK (Software Development Kit). This isn’t just an upgrade – it's a quantum leap, giving traders, hedge funds, developers, and institutions direct access to cutting-edge market intelligence, trading signals, and predictive analytics.

Crypto markets move fast, and having real-time, AI-powered insights can be the difference between catching the next big trend or getting left behind. Until now, traders and quants have been wrestling with scattered data, delayed reporting, and a lack of truly predictive analytics. Not anymore.

The Token Metrics API delivers 32+ high-performance endpoints packed with powerful AI-driven insights right into your lap, including:

Trading Signals: AI-driven buy/sell recommendations based on real-time market conditions.
Investor & Trader Grades: Our proprietary risk-adjusted scoring for assessing crypto assets.
Price Predictions: Machine learning-powered forecasts for multiple time frames.
Sentiment Analysis: Aggregated insights from social media, news, and market data.
Market Indicators: Advanced metrics, including correlation analysis, volatility trends, and macro-level market insights.

‍Getting started with the Token Metrics API is simple:

Sign up at www.tokenmetrics.com/api.
Generate an API key and explore sample requests.
Choose a tier–start with 50 free API calls/month, or stake TMAI tokens for premium access.
Optionally–download the SDK, install it for your preferred programming language, and follow the provided setup guide.

At Token Metrics, we believe data should be decentralized, predictive, and actionable.

The Token Metrics API & SDK bring next-gen AI-powered crypto intelligence to anyone looking to trade smarter, build better, and stay ahead of the curve. With our official SDK, developers can plug these insights into their own trading bots, dashboards, and research tools – no need to reinvent the wheel.

Building True Passive Income with Crypto Indices: The Complete Guide to Automated Wealth Creation

12 min read

The dream of passive income drives millions toward cryptocurrency—earning money while you sleep, building wealth automatically, achieving financial freedom without constant work. Yet most crypto "passive income" strategies require active management, constant monitoring, technical expertise, and significant time investment. They're anything but passive.

Token Metrics AI Indices deliver genuine passive income through systematic wealth accumulation requiring minimal ongoing effort. Once established, your crypto portfolio grows automatically through professional AI management, strategic rebalancing, and compound returns—all without your daily involvement or active trading.

This comprehensive guide explores how crypto indices create true passive income, compares index investing to other passive income strategies, reveals the mathematics of automated wealth compounding, and provides actionable frameworks for building substantial passive income streams through disciplined index allocation.

What True Passive Income Actually Means

Understanding genuine passive income requires distinguishing it from "active income disguised as passive" that dominates crypto discussions.

Active Income Disguised as Passive

Many crypto strategies marketed as "passive income" require substantial ongoing effort:

Day Trading/Swing Trading: Requires constant market monitoring, analysis, and execution—full-time active work
Yield Farming: Demands daily monitoring of APYs, moving capital between protocols, managing impermanent loss risks
NFT Flipping: Requires researching projects, timing mints, managing listings, following trends constantly
Staking on Volatile Assets: Needs continuous evaluation of lock-up risks, protocol security, and token price sustainability
DeFi Protocol Management: Involves complex smart contract interactions, gas fee optimization, and continuous security monitoring

These strategies generate income but demand active participation—they're jobs, not passive income streams.

Characteristics of Genuine Passive Income

True passive income exhibits specific characteristics:

Minimal Time Investment: Requires 1-2 hours monthly maximum after initial setup
No Specialized Expertise: Accessible to anyone regardless of technical knowledge
Automatic Execution: Operates without your constant involvement or decision-making
Predictable Processes: Follows systematic approaches rather than requiring moment-to-moment judgment
Scalable Without Additional Time: Can grow substantially without proportionally increasing time commitment
Professional Management: Experts handle complexity on your behalf

Token Metrics indices meet all these criteria—once established, your wealth grows automatically through AI-powered management while you focus on other priorities.

How Crypto Indices Create Passive Income

Understanding the mechanisms generating passive returns through indices reveals why this approach delivers superior risk-adjusted income compared to alternatives.

Capital Appreciation Through Systematic Growth

The primary income source from crypto indices is capital appreciation—portfolio value increasing over time as cryptocurrency markets grow and AI optimization captures opportunities.

Unlike stocks requiring decades to double, crypto indices can deliver 50-200% annual returns during favorable market cycles. A $25,000 initial investment growing at 60% annually becomes $100,000 in three years and $400,000 in six years—substantial wealth creation requiring zero active trading.

This appreciation occurs passively through:

AI selecting highest-probability opportunities across 6,000+ tokens
Automatic rebalancing capturing profits from winners and accumulating losers at discounts
Diversification spreading risk while maintaining upside exposure
Professional risk management limiting catastrophic losses

You make no trading decisions. You don't research tokens. You don't time markets. The system handles everything while appreciation compounds automatically.

Compound Growth Acceleration

Passive income's true power emerges through compounding—returns generating additional returns in self-reinforcing cycles. Token Metrics indices amplify compounding through systematic profit capture and reinvestment.

When indices rebalance, profits from appreciating tokens are automatically reinvested into new opportunities. This mechanical reinvestment ensures all gains compound rather than sitting idle. Over years and decades, compounding creates extraordinary wealth accumulation.

Example: $10,000 growing at 40% annually with full reinvestment becomes $150,000 in seven years. Without reinvestment—if you withdrew gains annually—the same investment reaches only $38,000. Compounding creates an additional $112,000 in wealth automatically.

Dollar-Cost Averaging Enhancement

Adding regular contributions to index positions creates powerful dollar-cost averaging benefits that enhance passive returns. By investing fixed amounts regardless of market conditions, you automatically buy more tokens when prices are low and fewer when prices are high.

This systematic averaging removes timing pressure—you don't need to identify perfect entry points. Whether markets surge or crash, your regular contributions continue mechanically, building positions that appreciate over complete market cycles.

Combined with compound growth, dollar-cost averaging creates remarkable long-term wealth accumulation requiring minimal effort beyond initial automated contribution setup.

Tax-Efficient Growth Optimization

Token Metrics indices can be held in tax-advantaged retirement accounts where appreciation compounds tax-free (Roth IRA) or tax-deferred (Traditional IRA). This tax optimization dramatically accelerates wealth accumulation compared to taxable accounts.

In taxable accounts, annual rebalancing triggers capital gains taxes that reduce compounding power. In retirement accounts, all gains compound without tax drag—a significant passive income enhancement requiring only initial account setup.

Comparing Index Passive Income to Alternatives

Understanding how index-based passive income compares to other strategies reveals relative advantages.

Vs. Staking/Yield Farming: While staking offers 5-20% APY, it involves token price risk (10% yield means nothing if price drops 50%), lock-up periods preventing selling during crashes, impermanent loss, protocol risks, and constant management overhead. Index capital appreciation typically exceeds staking yields by 40+ percentage points while maintaining complete liquidity.

Vs. Real Estate: Real estate requires $50,000-$500,000+ minimums, involves management burdens despite property managers, suffers from illiquidity (months to sell), concentrates wealth geographically, and carries leverage risks. Indices require minimal capital, zero management, complete liquidity, global diversification, and no leverage risks.

Vs. Dividend Stocks: Dividend yields of 2-4% and appreciation of 6-8% annually pale against crypto potential. Dividends trigger immediate taxation reducing after-tax returns. Crypto indices offer dramatically higher return potential with tax-efficient compounding.

Vs. Bitcoin/Ethereum Only: Concentrated two-asset holdings sacrifice diversification, miss altcoin opportunities, lack rebalancing benefits, and forego professional management. Indices provide superior risk-adjusted returns with equal passivity.

The Mathematics of Automated Wealth Building

Understanding how small initial investments and regular contributions compound into substantial wealth over time makes passive income potential concrete rather than abstract.

Starting Small: The Power of Consistency

You don't need large capital to begin building meaningful passive income. Small amounts invested consistently compound into substantial wealth through time and returns.

Scenario 1: Modest Beginning

Initial investment: $1,000
Monthly contribution: $250
Average annual return: 50%
Time horizon: 10 years
Ending value: $486,000

This scenario transforms $31,000 in total contributions into nearly half a million through compound growth—passive income requiring only initial setup and automated monthly contributions.

Scenario 2: Aggressive Accumulation

Initial investment: $5,000
Monthly contribution: $500
Average annual return: 50%
Time horizon: 10 years
Ending value: $972,000

Nearly $1 million from $65,000 in contributions—extraordinary passive wealth creation through systematic index investing.

The Impact of Return Variability

Real returns vary annually—bull markets deliver 100-300% returns while bear markets create 50-80% drawdowns. However, averaging across complete cycles, conservative crypto indices historically achieve 30-60% annualized returns.

Even at conservative 30% annual average:

$10,000 initial + $300 monthly for 15 years = $1.1 million
$25,000 initial + $500 monthly for 15 years = $2.8 million

These projections assume no income from your job increases, which is unrealistic. As your career progresses and income grows, contribution amounts can increase proportionally, accelerating wealth accumulation further.

Retirement Income Generation

Once accumulated, substantial crypto index holdings generate retirement income through systematic withdrawal strategies.

If you accumulate $2 million in crypto indices by age 60, withdrawing 4% annually provides $80,000 passive income while preserving principal. If crypto continues appreciating even modestly at 15% annually, your portfolio grows despite withdrawals, providing inflation-protected lifetime income.

This passive income stream requires no active work—automated monthly withdrawals provide cash flow while remaining capital compounds through continued AI management.

Building Your Passive Income System

Creating effective passive income through crypto indices requires systematic implementation across several phases.

Phase 1: Foundation Setup (Month 1)

Open Token Metrics account and explore available indices
Determine appropriate total crypto allocation based on age, risk tolerance, and financial situation
Select specific indices matching your risk profile (conservative, balanced, aggressive)
Open exchange accounts and complete verification processes
Link bank accounts for funding transfers
Consider opening self-directed IRA for tax-advantaged growth

Complete this foundation work once—all subsequent wealth building occurs automatically.

Phase 2: Automation Implementation (Month 2)

Set up automatic recurring bank transfers to exchange accounts
Configure automatic index purchases on predetermined schedules (weekly, bi-weekly, or monthly)
Enable automatic rebalancing following Token Metrics recommendations
Set up portfolio tracking and optional performance alerts
Document your strategy and rules in writing for future reference

After automation setup, your system operates independently requiring minimal intervention.

Phase 3: Optimization and Scaling (Months 3-12)

Monitor system monthly to ensure automation functions correctly
Increase contribution amounts as income grows throughout your career
Rebalance between indices quarterly based on Token Metrics guidance
Take advantage of market crashes by adding lump sums opportunistically
Review and adjust tax strategies annually with professional guidance

Even during optimization phase, time commitment remains minimal—1-2 hours monthly maximum.

Phase 4: Wealth Preservation and Distribution (Years 10+)

Gradually shift allocation toward conservative indices as wealth accumulates
Implement systematic profit-taking during euphoric bull markets
Develop withdrawal strategy for retirement income needs
Consider estate planning for accumulated wealth transfer
Maintain disciplined approach through all market conditions

Throughout all phases, your involvement remains minimal while wealth compounds automatically through professional AI management.

Maximizing Passive Income Through Strategic Allocation

Optimizing passive income requires strategic decisions about allocation, risk management, and contribution timing.

Allocation Balance: Higher returns come with higher volatility. Conservative approach uses 70% conservative/20% balanced/10% aggressive indices. Moderate uses 50/30/20 split. Aggressive uses 30/30/40 split. All remain completely passive from management perspective.

Contribution Timing: Maintain regular automated contributions always, but keep 10-20% dry powder in stablecoins for crisis deployment during 30%+ market crashes. These fear-driven purchases generate outsized returns.

Tax Location Optimization: Roth IRA provides tax-free growth ideal for aggressive indices. Traditional IRA offers tax-deferred growth suitable for conservative indices. Taxable accounts provide flexibility but trigger annual rebalancing taxes. This optimization happens once but compounds into substantial savings over decades.

Common Passive Income Mistakes to Avoid

Even with automated systems, investors make predictable mistakes that undermine passive income goals.

Insufficient Automation: Failing to fully automate contributions and rebalancing introduces friction preventing consistent execution
Excessive Monitoring: Checking portfolio daily or weekly increases anxiety without improving results—monthly reviews suffice
Abandoning Strategy During Drawdowns: Selling during bear markets destroys passive income system's effectiveness—maintain discipline through downturns
Chasing Performance: Constantly switching between indices based on recent performance undermines long-term compounding
Withdrawing Gains Prematurely: Taking profits during accumulation phase prevents compounding—let gains reinvest automatically
Under-Contributing Relative to Income: Failing to increase contributions as career income grows limits wealth accumulation unnecessarily
Neglecting Tax Optimization: Holding crypto in taxable accounts when retirement accounts available costs substantial long-term returns

Conclusion: The Path to Financial Freedom

True passive income through crypto indices isn't mythical—it's mathematically achievable through systematic implementation and patient execution. Token Metrics provides the professional AI management, diversification, and optimization infrastructure transforming crypto from speculation into genuine passive wealth building.

The beauty of this approach is simplicity: establish system once, contribute consistently, trust professional management, and let compound growth work its magic over years and decades. No day trading. No constant monitoring. No technical expertise required. Just disciplined, automated wealth accumulation.

Your action determines outcomes. Those who begin today, implement systematic contributions, and maintain discipline through market cycles build substantial passive income streams funding financial independence. Those who delay, overthink, or abandon strategy during volatility watch opportunities pass without capturing benefits.

Token Metrics indices eliminate complexity and emotion from crypto investing, leaving only systematic wealth accumulation. The technology works. The mathematics favor consistent long-term investors. The only question is whether you'll begin building your passive income system today or postpone financial freedom indefinitely.

Start your 7-day free trial and take the first step toward true passive income through automated, professional crypto index investing. Your future self will thank you for the decision you make today.

Frequently Asked Questions

Why AI Makes All the Difference: The Technology Advantage Behind Token Metrics Crypto Indices

12 min read

When evaluating cryptocurrency index providers, most investors focus on past performance, fees, or token selection. While these factors matter, they miss the fundamental differentiator determining long-term success: the sophistication of artificial intelligence powering portfolio management.

Token Metrics doesn't just use AI as marketing buzzword—the platform employs cutting-edge machine learning systems that fundamentally outperform human decision-making in ways that compound into extraordinary advantages over time. Understanding why AI-driven indices surpass both traditional approaches and human-managed alternatives reveals why this technology represents the future of crypto investing.

This comprehensive guide explores the specific AI technologies powering Token Metrics indices, examines what these systems can do that humans cannot, compares AI-driven approaches to traditional alternatives, and reveals how technological advantages translate into superior investment outcomes.

The Limitations of Human Crypto Portfolio Management

Before understanding AI's advantages, recognize the inherent limitations of human portfolio management in cryptocurrency markets.

Information Processing Constraints

The human brain processes information sequentially and slowly. A skilled analyst might evaluate 10-20 cryptocurrencies daily using 5-10 data points each. This yields 50-200 data points daily—a tiny fraction of available information.

Token Metrics' AI analyzes 6,000+ cryptocurrencies using 80+ data points each—480,000+ data points daily. This 2,400x information processing advantage means the AI identifies opportunities and risks invisible to human analysis.

Cognitive Biases Distort Judgment

Human decision-making suffers from systematic cognitive biases:

Confirmation Bias: Seeking information supporting existing beliefs while dismissing contradictory evidence
Recency Bias: Overweighting recent events while underweighting historical patterns
Anchoring Bias: Fixating on initial information (like purchase price) rather than current reality
Herding Bias: Following crowd behavior rather than independent analysis
Overconfidence Bias: Believing personal judgment exceeds actual accuracy

These biases cause systematic errors leading to poor timing, holding losers too long, selling winners prematurely, and following crowds into overvalued assets. AI systems have no cognitive biases—they evaluate data objectively based on mathematical relationships.

Emotional Volatility Undermines Discipline

Human portfolio managers experience fear during market crashes and euphoria during rallies. These emotions trigger fight-or-flight responses overwhelming rational analysis, causing panic selling at bottoms and overconfident buying at tops.

AI experiences no emotions. Market crashes don't trigger fear. Rallies don't create euphoria. The system evaluates probabilities and executes strategies mechanically regardless of market sentiment.

Physical and Mental Limitations

Humans require sleep, breaks, vacations, and time for other life activities. Portfolio managers cannot monitor markets 24/7 or maintain consistent attention over years without degradation.

AI operates continuously without fatigue, monitoring global markets across time zones simultaneously. The system never sleeps, never takes vacations, never loses focus—maintaining perpetual vigilance impossible for humans.

Inability to Learn from All Data

Human learning occurs slowly through experience and study. A portfolio manager might learn from hundreds of trades over decades, building intuition from limited personal experience.

AI learns from millions of data points across thousands of assets simultaneously. Every market movement, every token launch, every sentiment shift contributes to model training. The system identifies patterns across entire crypto history that individual humans could never detect.

The Specific AI Technologies Powering Token Metrics

Token Metrics employs an ensemble of sophisticated machine learning models, each serving specific purposes within the investment process.

Gradient Boosting Decision Trees

These models excel at identifying complex, non-linear relationships between variables. In crypto markets, simple linear relationships rarely exist—token performance depends on intricate interactions between multiple factors.

Gradient boosting builds thousands of decision trees, each learning from previous trees' errors. This iterative process creates highly accurate predictions by combining many weak predictors into strong aggregate models.

Application: Identifying which combinations of technical, fundamental, and sentiment factors predict future price movements most accurately.

Recurrent Neural Networks (RNNs)

RNNs specialize in time-series analysis, recognizing patterns in sequential data. Cryptocurrency prices represent time-series data where past patterns influence future movements.

Unlike simple technical analysis looking at individual indicators, RNNs identify complex temporal relationships spanning multiple timeframes simultaneously. The networks detect subtle patterns in how prices, volumes, and other metrics evolve together over time.

Application: Forecasting price trajectories by learning from historical patterns while adapting to changing market dynamics.

Random Forests

Random forest algorithms create multiple decision trees using random subsets of data and features, then aggregate their predictions. This approach reduces overfitting risk—where models perform excellently on historical data but fail on new data.

By training on different data subsets, random forests identify robust patterns that generalize well rather than memorizing specific historical sequences unlikely to repeat exactly.

Application: Robust token classification separating quality projects from low-quality alternatives based on generalizable characteristics.

Natural Language Processing (NLP)

NLP algorithms analyze text data from social media, news articles, developer communications, and community forums. These systems extract sentiment, identify trending topics, detect narrative shifts, and quantify community engagement.

Unlike humans who might read dozens of articles weekly, NLP processes millions of text sources daily, identifying sentiment patterns and narrative changes before they become obvious.

Application: Gauging market sentiment, detecting emerging narratives, identifying coordinated pumps or manipulative campaigns, and assessing community health.

Anomaly Detection Frameworks

Anomaly detection identifies unusual patterns suggesting either opportunities or risks. These systems establish baseline "normal" behavior, then flag deviations warranting attention.

In crypto markets, anomalies might indicate insider trading before announcements, coordinated manipulation schemes, security vulnerabilities, or emerging trends before mainstream recognition.

Application: Early warning systems for security threats, manipulation detection, and identifying breakout candidates showing unusual strength relative to historical patterns.

What AI Can Do That Humans Cannot

Understanding specific capabilities unique to AI reveals why technology-driven approaches surpass traditional methods.

Simultaneous Multi-Asset Analysis

Human portfolio managers analyze assets sequentially—evaluating Bitcoin, then Ethereum, then Solana, one at a time. This sequential processing misses relationships between assets.

AI analyzes all assets simultaneously, identifying correlations, relative strength patterns, sector rotations, and cross-asset opportunities. The system recognizes when DeFi tokens strengthen relative to Layer-1s, when memecoins show coordinated movement, or when specific sectors lead or lag broader markets.

This simultaneous analysis reveals relative value opportunities invisible to sequential human analysis.

Pattern Recognition Across Massive Datasets

Humans excel at recognizing simple patterns—support and resistance levels, head-and-shoulders formations, moving average crossovers. However, complex multi-dimensional patterns exceed human cognitive capacity.

AI identifies patterns involving dozens of variables simultaneously across thousands of assets. These patterns might involve specific combinations of technical indicators, on-chain metrics, sentiment scores, and fundamental factors that human analysts could never process holistically.

Example: The AI might recognize that tokens with specific combinations of technical momentum, developer activity growth, and social sentiment shifts outperform 73% of the time over subsequent 30 days. Humans cannot track and validate such complex multi-factor patterns.

Emotionless Execution During Extremes

The most valuable investment opportunities occur during market extremes when fear or greed overwhelm rational analysis. Humans struggle maintaining discipline during these periods—buying during maximum fear feels terrifying, selling during euphoria seems foolish.

AI executes mechanically based on statistical probabilities regardless of market sentiment. When indicators show extreme fear and historically attractive valuations, the system buys aggressively. When indicators show extreme euphoria and overvaluation, the system takes profits systematically.

This emotionless execution during extremes generates substantial alpha that humans rarely capture despite understanding the principle intellectually.

Continuous Learning and Adaptation

Human learning occurs slowly. Portfolio managers develop strategies based on historical experience, but adapting to new market regimes takes time and often requires painful losses first.

AI learns continuously from every market movement. When strategies underperform, the system adjusts weightings automatically. When new patterns emerge, the AI incorporates them immediately. This perpetual learning ensures strategies evolve with markets rather than becoming obsolete.

Microsecond Response Times

Markets move in milliseconds. By the time humans notice significant price movements and decide how to respond, opportunities have passed.

AI monitors markets continuously and responds within microseconds. When rebalancing signals trigger or new opportunities emerge, execution occurs immediately rather than after human deliberation delays.

This speed advantage proves especially valuable during volatile periods when opportunities appear and disappear rapidly.

Comparing AI-Driven Indices to Traditional Alternatives

Understanding Token Metrics' AI advantages becomes clearer through direct comparison with traditional approaches.

Vs. Market-Cap-Weighted Indices: Traditional indices simply track largest cryptocurrencies by size, overexposing to overvalued bubbles and missing emerging opportunities. Token Metrics' AI evaluates fundamentals, momentum, and valuations, overweighting undervalued opportunities regardless of size.

Vs. Human-Managed Crypto Funds: Traditional funds employ analyst teams covering 50-100 tokens maximum, influenced by cognitive biases, charging 2% management and 20% performance fees. Token Metrics covers 6,000+ tokens without biases or emotions at subscription fees far lower than traditional management costs.

Vs. DIY Individual Selection: Individual investors face time constraints, limited professional tools, emotional attachment preventing objectivity, and FOMO-driven poor timing. AI provides comprehensive analysis using professional data, objective evaluation, and systematic timing based on probabilities.

How AI Advantages Translate to Superior Returns

Understanding theoretical AI advantages is useful, but what matters most is how these translate into actual superior investment performance.

Earlier Opportunity Identification

AI identifies emerging opportunities before they become obvious to human investors. By analyzing on-chain activity, developer engagement, and early sentiment shifts, the system detects promising tokens months before mainstream attention arrives.

Result: Index positions established at significantly lower prices capture maximum appreciation when opportunities materialize.

Superior Risk Management

AI's anomaly detection and comprehensive analysis identify risks earlier than human analysis. Security vulnerabilities, team problems, tokenomics issues, or manipulation schemes trigger early warning systems.

Result: Positions reduced or eliminated before major problems cause catastrophic losses, preserving capital for better opportunities.

Optimal Rebalancing Timing

The system identifies optimal rebalancing timing based on technical signals, sentiment extremes, and volatility patterns. Rather than rebalancing on arbitrary schedules, the AI rebalances when conditions offer maximum advantage.

Result: Systematic "buy low, sell high" execution that human emotion prevents, generating additional alpha through superior timing.

Diversification Optimization

AI constructs portfolios maximizing diversification benefits through correlation analysis across all tokens. Rather than naive diversification holding many similar assets, the system combines tokens with complementary characteristics.

Result: Smoother return profiles with superior risk-adjusted performance through true diversification rather than false variety.

Compound Learning Effects

Every market cycle improves AI performance through additional training data. Each bull market, bear market, and consolidation phase provides data points refining model accuracy.

Result: Performance improving over time rather than degrading as with human strategies that become obsolete when markets evolve.

The Future of AI-Driven Crypto Investing

AI technology continues advancing rapidly, suggesting Token Metrics' advantages will expand over time:

Advanced Neural Architectures: Emerging technologies like transformers offer superior pattern recognition capabilities
Real-Time On-Chain Analysis: AI analyzing blockchain transactions identifies smart money movements and whale behavior
Cross-Market Intelligence: Integration with traditional markets, macroeconomics, and geopolitics creates comprehensive models
Personalized Optimization: Future AI could create personalized indices tailored to individual preferences while maintaining professional management

Practical Implications for Investors

Understanding AI advantages has direct practical implications:

Accept AI Superiority: Recognize that outperforming sophisticated AI through individual selection is increasingly difficult. Strategic allocation to AI-driven indices becomes increasingly rational.
Focus Human Energy Wisely: Concentrate on risk tolerance, emotional discipline, and strategic allocation—areas where humans add value—rather than token selection where AI excels.
Trust Uncomfortable Recommendations: The system identifies opportunities before they become obvious. Buy when it feels scary, sell when it feels premature.
Recognize Competitive Disadvantage: As capital flows into AI-driven strategies, traditional approaches face increasing disadvantage. Early adoption provides compounding advantages.

Conclusion: The Inevitable Future

Artificial intelligence represents the future of cryptocurrency portfolio management not because it's trendy—because it's fundamentally superior. The information processing, pattern recognition, emotionless execution, and continuous learning capabilities of modern AI exceed human limitations by orders of magnitude.

Token Metrics doesn't just use AI as marketing—the platform employs institutional-grade machine learning providing genuine competitive advantages translating into measurably superior risk-adjusted returns.

The choice facing crypto investors is straightforward: compete against sophisticated AI systems using human limitations, or harness those same AI capabilities through Token Metrics indices. One approach fights the future; the other embraces it.

As AI technology continues advancing and more capital recognizes these advantages, the performance gap between AI-driven and traditional approaches will widen. Early adopters of superior technology capture outsized returns, while late adopters play catch-up from positions of disadvantage.

Your opportunity exists today. Token Metrics provides access to institutional-grade AI previously available only to hedge funds and professional investors. The democratization of artificial intelligence through accessible indices transforms crypto investing from speculation into systematic wealth building.

Begin your 7-day free trial and experience firsthand how artificial intelligence transforms cryptocurrency investing from emotional gambling into disciplined, technology-driven wealth creation.

Bitcoin Cash (BCH) 2028 Price Targets: Token Metrics Scenarios

Bitcoin Cash Token Details

7 min read

Market Context for Bitcoin Cash: The Case for 2028

The Layer 1 landscape is consolidating as users and developers gravitate to chains with clear specialization. Bitcoin Cash positions itself as a payment-focused chain with low fees and quick settlement for everyday usage.

The scenario projections below map potential outcomes for BCH across different total crypto market sizes. Base cases assume steady usage and listings, while moon scenarios factor in stronger liquidity and accelerated adoption.

Disclosure

Educational purposes only, not financial advice. Crypto is volatile, do your own research and manage risk.

How to read it: Each band blends cycle analogues and market-cap share math with TA guardrails. Base assumes steady adoption and neutral or positive macro. Moon layers in a liquidity boom. Bear assumes muted flows and tighter liquidity.

TM Agent baseline:

Token Metrics lead metric for Bitcoin Cash, cashtag $BCH, is a TM Grade of 54.81%, which translates to Neutral, and the trading signal is bearish, indicating short-term downward momentum. This implies Token Metrics views $BCH as mixed value long term: fundamentals look strong, while valuation and technology scores are weak, so upside depends on improvements in adoption or technical development. Market context: Bitcoin has been setting market direction, and with broader risk-off moves altcoins face pressure, which increases downside risk for $BCH in the near term.

Live details:

Buy BCH on MEXC

Affiliate Disclosure: We may earn a commission from qualifying purchases made via this link, at no extra cost to you.

Key Takeaways

Scenario driven, outcomes hinge on total crypto market cap, higher liquidity and adoption lift the bands.
Fundamentals: Fundamental Grade 80.41% (Community 62%, Tokenomics 100%, Exchange 100%, VC —, DeFi Scanner 72%).
Technology: Technology Grade 29.63% (Activity 22%, Repository 70%, Collaboration 48%, Security —, DeFi Scanner 72%).
TM Agent gist: Neutral grade, bearish momentum, adoption must improve.
Education only, not financial advice.

Scenario Analysis

Token Metrics scenarios span four market cap tiers, each representing different levels of crypto market maturity and liquidity:

8T: At an 8t total crypto market cap, BCH projects to $910.79 in bear conditions, $1,025.20 in the base case, and $1,139.62 in bullish scenarios.
16T: Doubling the market to 16 trillion expands the range to $1,606.59 (bear), $1,949.83 (base), and $2,293.07 (moon).
23T: At 23 trillion, the scenarios show $2,302.38, $2,874.46, and $3,446.53 respectively.
31T: In the maximum liquidity scenario of 31 trillion, BCH could reach $2,998.18 (bear), $3,799.08 (base), or $4,599.99 (moon).

Each tier assumes progressively stronger market conditions, with the base case reflecting steady growth and the moon case requiring sustained bull market dynamics.

Why Consider the Indices with Top-100 Exposure

Bitcoin Cash represents one opportunity among hundreds in crypto markets. Token Metrics Indices bundle BCH with top one hundred assets for systematic exposure to the strongest projects. Single tokens face idiosyncratic risks that diversified baskets mitigate.

Historical index performance demonstrates the value of systematic diversification versus concentrated positions.

Join the early access list

What Is Bitcoin Cash?

Bitcoin Cash is a peer-to-peer electronic cash network focused on fast confirmation and low fees. It launched in 2017 as a hard fork of Bitcoin with larger block capacity to prioritize payments. The chain secures value transfers using proof of work and aims to keep everyday transactions affordable.

BCH is used to pay transaction fees and settle transfers, and it is widely listed across major exchanges. Adoption centers on payments, micropayments, and remittances where low fees matter. It competes as a payment‑focused Layer 1 within the broader crypto market.

Token Metrics AI Analysis

Token Metrics AI provides comprehensive context on Bitcoin Cash's positioning and challenges.

Vision:

Bitcoin Cash (BCH) is a cryptocurrency that emerged from a 2017 hard fork of Bitcoin, aiming to function as a peer-to-peer electronic cash system with faster transactions and lower fees. It is known for prioritizing on-chain scalability by increasing block sizes, allowing more transactions per block compared to Bitcoin. This design choice supports its use in everyday payments, appealing to users seeking a digital cash alternative. Adoption has been driven by its utility in micropayments and remittances, particularly in regions with limited banking infrastructure. However, Bitcoin Cash faces challenges including lower network security due to reduced mining hash rate compared to Bitcoin, and ongoing competition from both Bitcoin and other scalable blockchains. Its value proposition centers on accessibility and transaction efficiency, but it operates in a crowded space with evolving technological and regulatory risks.

Problem:

The project addresses scalability limitations in Bitcoin, where rising transaction fees and slow confirmation times hinder its use for small, frequent payments. As Bitcoin evolved into a store of value, a gap emerged for a blockchain-based currency optimized for fast, low-cost transactions accessible to the general public.

Solution:

Bitcoin Cash increases block size limits from 1 MB to 32 MB, enabling more transactions per block and reducing congestion. This on-chain scaling approach allows for faster confirmations and lower fees, making microtransactions feasible. The network supports basic smart contract functionality and replay protection, maintaining compatibility with Bitcoin's core architecture while prioritizing payment utility.

Market Analysis:

Bitcoin Cash operates in the digital currency segment, competing with Bitcoin, Litecoin, and stablecoins for use in payments and remittances. While not the market leader, it occupies a niche focused on on-chain scalability for transactional use. Its adoption is influenced by merchant acceptance, exchange liquidity, and narratives around digital cash. Key risks include competition from layer-2 solutions on other blockchains, regulatory scrutiny of cryptocurrencies, and lower developer and miner activity compared to larger networks. Price movements are often tied to broader crypto market trends and internal protocol developments. Despite its established presence, long-term growth depends on sustained utility, network security, and differentiation in a market increasingly dominated by high-throughput smart contract platforms.

Fundamental and Technology Snapshot from Token Metrics

Fundamental Grade: 80.41% (Community 62%, Tokenomics 100%, Exchange 100%, VC —, DeFi Scanner 72%).

Technology Grade: 29.63% (Activity 22%, Repository 70%, Collaboration 48%, Security —, DeFi Scanner 72%).

Catalysts That Skew Bullish

Institutional and retail access expands with ETFs, listings, and integrations.
Macro tailwinds from lower real rates and improving liquidity.
Product or roadmap milestones such as upgrades, scaling, or partnerships.

Risks That Skew Bearish

Macro risk-off from tightening or liquidity shocks.
Regulatory actions or infrastructure outages.
Concentration or validator economics and competitive displacement.

FAQs

Can BCH reach $3,000?

Based on the scenarios, BCH could reach $3,000 in the 23T moon case and 31T base case. The 23T tier projects $3,446.53 in the moon case. Not financial advice.

Can BCH 10x from current levels?

At current price of $553.54, a 10x would reach $5,535.40. This falls within the 31T base and moon cases. Bear in mind that 10x returns require substantial market cap expansion. Not financial advice.

Should I buy BCH now or wait?

Timing depends on your risk tolerance and macro outlook. Current price of $553.54 sits below the 8T bear case in our scenarios. Dollar-cost averaging may reduce timing risk. Not financial advice.

Next Steps

Track live grades and signals

Join Indices Early Access

Want exposure? Buy BCH on MEXC

Disclosure

Educational purposes only, not financial advice. Crypto is volatile, do your own research and manage risk.

Why Manual Crypto Portfolio Management Is Costing You Money (And Time)

You're tracking 50+ tokens across three exchanges, updating your rebalancing spreadsheet every weekend, and second-guessing every exit decision at 2 AM. Sound familiar? Manual crypto portfolio management isn't just exhausting—it's expensive. Between missed rebalances, execution drag, and behavioral mistakes during volatility, DIY portfolio management quietly erodes returns before you see any market gains.

The data tells the story: investors who manually manage diversified crypto portfolios typically underperform comparable automated strategies by 12-18% annually, with 60% of that gap coming from operational inefficiency rather than market timing. If you're spending 10+ hours weekly maintaining positions, those hours have a cost—and it's higher than you think.

The Hidden Costs Destroying Your Returns

Time Drain: The 500-Hour Tax

Managing a diversified crypto portfolio demands constant vigilance. For investors holding 20+ positions, the weekly time investment breaks down to approximately:

Market monitoring: 5-8 hours tracking prices, news, and on-chain metrics
Rebalancing calculations: 2-3 hours determining optimal weights and required trades
Order execution: 3-5 hours placing trades across multiple platforms
Record keeping: 1-2 hours logging transactions for tax reporting
Research updates: 3-5 hours staying current on project developments

That's 14-23 hours weekly, or 728-1,196 hours annually. At a conservative $50/hour opportunity cost, you're spending $36,400-$59,800 in time value maintaining your portfolio. Even if you value your time at minimum wage, that's still $10,000+ in annual "sweat equity" that automated solutions eliminate.

Execution Drag: Death by a Thousand Trades

Small trades erode portfolios through accumulated friction. Every manual rebalance across a 50-token portfolio requires dozens of individual transactions, each incurring:

Trading fees: 0.1-0.5% per trade (average 0.25%)
Bid-ask spreads: 0.2-0.8% depending on liquidity
Slippage: 0.3-1.2% on smaller cap tokens
Gas fees: $2-50 per transaction depending on network congestion

For a $100,000 portfolio rebalanced monthly with 40 trades per rebalance, the costs add up:

Average cost per trade: ~$100
Monthly execution drag: $4,000
Annual execution drag: $48,000 (48% of portfolio value)

The smaller your individual trades, the worse the ratio becomes. A $500 rebalancing trade on a low-liquidity altcoin might pay $25 in fees—a 5% instant loss before any price movement.

Automated indices solve this. TM Global 100, Token Metrics' rules-based index, consolidates 100 individual positions into a single transaction at purchase, with weekly rebalances executed through optimized smart contract batching. Users typically save 3-7% annually in execution costs alone compared to manual approaches.

Behavioral Mistakes: Your Worst Enemy Is in the Mirror

Market psychology research shows that manual portfolio managers tend to make predictable, costly mistakes:

Panic selling during drawdowns: When Bitcoin drops 25% in a week, can you stick to your exit rules? Many override their plans during high volatility, often selling near local bottoms.
FOMO buying at peaks: Tokens up 300% in a week attract chase behavior, with managers entering after the movement is mostly over.
Rebalancing procrastination: Putting off rebalancing leads to drift, holding too much of past winners and missing new opportunities.

Token Metrics' systematic approach removes emotion from the equation. The TM Global 100 Index follows a transparent ruleset: hold the top 100 tokens by market cap during bullish phases, shift to stablecoins during bearish cycles, and rebalance weekly—eliminating emotional override and procrastination.

Missed Rebalances: Drifting Out of Position

Market cap rankings shift constantly. A token ranked #73 on Monday might hit #95 by Friday, or surge to #58. Without systematic rebalancing, your portfolio becomes a collection of recent winners or dumpers.

In Q3 2024, Solana ecosystem tokens surged while Ethereum DeFi tokens consolidated. Manual managers who missed weekly rebalances held too much ETH and insufficient SOL exposure. The result: 15-20% underperformance compared to systematically rebalanced portfolios. Data from Token Metrics shows that weekly rebalancing outperforms monthly or quarterly approaches by 8-12% annually.

Tax Reporting Nightmares

Every trade creates a taxable event. Manual managers executing over 200 trades yearly face:

Hours spent compiling transaction logs
Reconciliation across multiple exchanges
Cost-basis tracking for numerous lots
High professional accounting fees ($500-2,000+)

Automated solutions like Token Metrics provide transparent transaction logs for each rebalance, simplifying tax reporting and reducing accounting costs.

The Token Metrics Advantage: Research Meets Execution

Token Metrics has established itself as a leading crypto analytics platform, supporting over 50,000 users with AI-powered token ratings, market regime detection, portfolio optimization tools, and trading signals. But analysis alone isn't enough—implementation is crucial.

TM Global 100 Index bridges this gap. It turns research into actionable, tradeable products by automating rebalancing based on Token Metrics' signals and methodology. One click replaces hours of manual work, following a validated systematic approach.

Automation Without Compromise

The best automation is transparent. TM Global 100 offers:

Rules-Based Discipline: Bull markets—hold top 100 tokens; bear markets—move to stablecoins
Weekly rebalancing every Monday
Full methodology disclosure
One-Click execution via embedded self-custodial wallet
Real-time market insights and holdings visualization
Transaction logs with fees and timestamps

This streamlined process allows users to rapidly execute disciplined rebalancing, saving countless hours and increasing operational efficiency while maintaining asset control.

Decision Framework: When to Automate

Automation suits investors who:

Hold 15+ tokens and find rebalancing burdensome
Miss optimal rebalancing windows due to time constraints
Have experienced emotional trading decisions during volatility
Spend over 5 hours a week on portfolio management
Want broad exposure without manual tracking

Manual management may be suitable for those with fewer positions, active trading infrastructure, or tactical strategies. For most diversified portfolios, automation enhances efficiency and reduces operational errors.

The Compound Effect of Efficiency

Small inefficiencies compound over time. Over five years, a $50,000 portfolio managed manually with a 12% annual return minus 4-2-1% losses yields roughly a 5% net return, ending at about $63,814. A systematic approach with optimizer integration, zero behavioral errors, and regular rebalancing can attain a 13% net return, reaching approximately $92,246—an increase of over $28,000, not counting time saved.

Conclusion: Time Back, Returns Up

Manual crypto portfolio management made sense when portfolios were small and concentrated. Today’s diversified sets require operational discipline to prevent erosion of returns due to execution drag, missed rebalances, and emotional mistakes. Token Metrics built TM Global 100 to turn research into automated, transparent execution, reclaim your time, and boost portfolio discipline—without sacrificing control.

Moonshots API: Discover Breakout Tokens Before the Crowd

The biggest gains in crypto rarely come from the majors. They come from Moonshots—fast-moving tokens with breakout potential. The Moonshots API surfaces these candidates programmatically so you can rank, alert, and act inside your product. In this guide, you’ll call /v2/moonshots, display a high-signal list with TM Grade and Bullish tags, and wire it into bots, dashboards, or screeners in minutes. Start by grabbing your key at Get API Key, then Run Hello-TM and Clone a Template to ship fast.

What You’ll Build in 2 Minutes

Why This Matters

Discovery that converts. Users want more than price tickers, they want a curated, explainable list of high-potential tokens. The Moonshots API encapsulates multiple signals into a short list designed for exploration, alerts, and watchlists you can monetize.

Built for builders. The endpoint returns a consistent schema with grade, signal, and context so you can immediately sort, badge, and trigger workflows. With predictable latency and clear filters, you can scale to dashboards, mobile apps, and headless bots without reinventing the discovery pipeline.

Where to Find The Moonshots API

The cURL request for the Moonshots endpoint is displayed in the top right of the API Reference. Grab it and start tapping into the potential!

How It Works (Under the Hood)

The Moonshots endpoint aggregates a set of evidence—often combining TM Grade, signal state, and momentum/volume context—into a shortlist of breakout candidates. Each row includes a symbol, grade, signal, and timestamp, plus optional reason tags for transparency.

For UX, a common pattern is: headline list → token detail where you render TM Grade (quality), Trading Signals (timing), Support/Resistance (risk placement), Quantmetrics (risk-adjusted performance), and Price Prediction scenarios. This enables users to understand why a token was flagged and how to act with risk controls.

Polling vs webhooks. Dashboards typically poll with short-TTL caching. Alerting flows use scheduled jobs or webhooks to smooth traffic and avoid duplicates. Always make notifications idempotent.

Production Checklist

Use Cases & Patterns

Next Steps

FAQs

1) What does the Moonshots API return?

A list of breakout candidates with fields such as symbol, tm_grade, signal (often Bullish/Bearish), optional reason tags, and updated_at. Use it to drive discover tabs, alerts, and watchlists.

2) How fresh is the list? What about latency/SLOs?

The endpoint targets predictable latency and timely updates for dashboards and alerts. Use short-TTL caching and queued jobs/webhooks to avoid bursty polling.

3) How do I use Moonshots in a trading workflow?

Common stack: Moonshots for discovery, Trading Signals for timing, Support/Resistance for SL/TP, Quantmetrics for sizing, and Price Prediction for scenario context. Always backtest and paper-trade first.

4) I saw results like “+241%” and a “7.5% average return.” Are these guaranteed?

No. Any historical results are illustrative and not guarantees of future performance. Markets are risky; use risk management and testing.

5) Can I filter the Moonshots list?

Yes—pass parameters like min_grade, signal, and limit (as supported) to tailor to your audience and keep pages fast.

6) Do you provide SDKs or examples?

REST works with JavaScript and Python snippets above. Docs include quickstarts, Postman collections, and templates—start with Run Hello-TM.

7) Pricing, limits, and enterprise SLAs?

Begin free and scale up. See API plans for rate limits and enterprise options.

Support and Resistance API: Auto-Calculate Smart Levels for Better Trades

Most traders still draw lines by hand in TradingView. The support and resistance API from Token Metrics auto-calculates clean support and resistance levels from one request, so your dashboard, bot, or alerts can react instantly. In minutes, you’ll call /v2/resistance-support, render actionable levels for any token, and wire them into stops, targets, or notifications. Start by grabbing your key on Get API Key, then Run Hello-TM and Clone a Template to ship a production-ready feature fast.

What You’ll Build in 2 Minutes

A minimal script that fetches Support/Resistance via /v2/resistance-support for a symbol (e.g., BTC, SOL).

A one-liner curl to smoke-test your key.
A UI pattern to display nearest support, nearest resistance, level strength, and last updated time.

Next Endpoints to add

/v2/trading-signals (entries/exits)
/v2/hourly-trading-signals (intraday updates)
/v2/tm-grade (single-score context)
/v2/quantmetrics (risk/return framing)

Why This Matters

Precision beats guesswork. Hand-drawn lines are subjective and slow. The support and resistance API standardizes levels across assets and timeframes, enabling deterministic stops and take-profits your users (and bots) can trust.

Production-ready by design. A simple REST shape, predictable latency, and clear semantics let you add levels to token pages, automate SL/TP alerts, and build rule-based execution with minimal glue code.

Where to Find

Need the Support and Resistance data? The cURL request for it is in the top right of the API Reference for quick access.

👉 Keep momentum: Get API Key • Run Hello-TM • Clone a Template

How It Works (Under the Hood)

The Support/Resistance endpoint analyzes recent price structure to produce discrete levels above and below current price, along with strength indicators you can use for priority and styling. Query /v2/resistance-support?symbol=<ASSET>&timeframe=<HORIZON> to receive arrays of level objects and timestamps.

Polling vs webhooks. For dashboards, short-TTL caching and batched fetches keep pages snappy. For bots and alerts, use queued jobs or webhooks (where applicable) to avoid noisy, bursty polling—especially around market opens and major events.

Production Checklist

Rate limits: Respect plan caps; add client-side throttling.
Retries/backoff: Exponential backoff with jitter for 429/5xx; log failures.
Idempotency: Make alerting and order logic idempotent to prevent duplicates.
Caching: Memory/Redis/KV with short TTLs; pre-warm top symbols.
Batching: Fetch multiple assets per cycle; parallelize within rate limits.
Threshold logic: Add %-of-price buffers (e.g., alert at 0.3–0.5% from level).
Error catalog: Map common 4xx/5xx to actionable user guidance; keep request IDs.
Observability: Track p95/p99; measure alert precision (touch vs approach).
Security: Store API keys in a secrets manager; rotate regularly.

Use Cases & Patterns

Bot Builder (Headless): Use nearest support for stop placement and nearest resistance for profit targets. Combine with /v2/trading-signals for entries/exits and size via Quantmetrics (volatility, drawdown).
Dashboard Builder (Product): Add a Levels widget to token pages; badge strength (e.g., High/Med/Low) and show last touch time. Color the price region (below support, between levels, above resistance) for instant context.
Screener Maker (Lightweight Tools): “Close to level” sort: highlight tokens within X% of a strong level. Toggle alerts for approach vs breakout events.
Risk Management: Create policy rules like “no new long if price is within 0.2% of strong resistance.” Export daily level snapshots for audit/compliance.

Next Steps

Get API Key — generate a key and start free.
Run Hello-TM — verify your first successful call.
Clone a Template — deploy a levels panel or alerts bot today.
Watch the demo: Compare plans: Scale confidently with API plans.

FAQs

1) What does the Support & Resistance API return?

A JSON payload with arrays of support and resistance levels for a symbol (and optional timeframe), each with a price and strength indicator, plus an update timestamp.

2) How timely are the levels? What are the latency/SLOs?

The endpoint targets predictable latency suitable for dashboards and alerts. Use short-TTL caching for UIs, and queued jobs or webhooks for alerting to smooth traffic.

3) How do I trigger alerts or trades from levels?

Common patterns: alert when price is within X% of a level, touches a level, or breaks beyond with confirmation. Always make downstream actions idempotent and respect rate limits.

4) Can I combine levels with other endpoints?

Yes—pair with /v2/trading-signals for timing, /v2/tm-grade for quality context, and /v2/quantmetrics for risk sizing. This yields a complete decide-plan-execute loop.

5) Which timeframe should I use?

Intraday bots prefer shorter horizons; swing/position dashboards use daily or higher-timeframe levels. Offer a timeframe toggle and cache results per setting.

6) Do you provide SDKs or examples?

Use the REST snippets above (JS/Python). The docs include quickstarts, Postman collections, and templates—start with Run Hello-TM.

7) Pricing, limits, and enterprise SLAs?

Begin free and scale as you grow. See API plans for rate limits and enterprise SLA options.

Disclaimer

This content is for educational purposes only and does not constitute financial advice. Always conduct your own research before making any trading decisions.

Quantmetrics API: Measure Risk & Reward in One Call

Most traders see price—quants see probabilities. The Quantmetrics API turns raw performance into risk-adjusted stats like Sharpe, Sortino, volatility, drawdown, and CAGR so you can compare tokens objectively and build smarter bots and dashboards. In minutes, you’ll query /v2/quantmetrics, render a clear performance snapshot, and ship a feature that customers trust. Start by grabbing your key at Get API Key, Run Hello-TM to verify your first call, then Clone a Template to go live fast.

What You’ll Build in 2 Minutes

A minimal script that fetches Quantmetrics for a token via /v2/quantmetrics (e.g., BTC, ETH, SOL).
A smoke-test curl you can paste into your terminal.
A UI pattern that displays Sharpe, Sortino, volatility, max drawdown, CAGR, and lookback window.

Next Endpoints to Add

/v2/tm-grade (one-score signal)
/v2/trading-signals
/v2/hourly-trading-signals (timing)
/v2/resistance-support (risk placement)
/v2/price-prediction (scenario planning)

Why This Matters

Risk-adjusted truth beats hype. Price alone hides tail risk and whipsaws. Quantmetrics compresses edge, risk, and consistency into metrics that travel across assets and timeframes—so you can rank universes, size positions, and communicate performance like a professional.

Built for dev speed

A clean REST schema, predictable latency, and easy auth mean you can plug Sharpe/Sortino into bots, dashboards, and screeners without maintaining your own analytics pipeline. Pair with caching and batching to serve fast pages at scale.

Where to Find

The Quant Metrics cURL request is located in the top right of the API Reference, allowing you to easily integrate it with your application.

Build Smarter Crypto Apps & AI Agents with Token Metrics

Token Metrics provides real-time prices, trading signals, and on-chain insights all from one powerful API. Grab a Free API Key

How It Works (Under the Hood)

Quantmetrics computes risk-adjusted performance over a chosen lookback (e.g., 30d, 90d, 1y). You’ll receive a JSON snapshot with core statistics:

Sharpe ratio: excess return per unit of total volatility.
Sortino ratio: penalizes downside volatility more than upside.
Volatility: standard deviation of returns over the window.
Max drawdown: worst peak-to-trough decline.
CAGR / performance snapshot: geometric growth rate and best/worst periods.

Call /v2/quantmetrics?symbol=<ASSET>&window=<LOOKBACK> to fetch the current snapshot. For dashboards spanning many tokens, batch symbols and apply short-TTL caching. If you generate alerts (e.g., “Sharpe crossed 1.5”), run a scheduled job and queue notifications to avoid bursty polling.

Production Checklist

Rate limits: Understand your tier caps; add client-side throttling and queues.
Retries & backoff: Exponential backoff with jitter; treat 429/5xx as transient.
Idempotency: Prevent duplicate downstream actions on retried jobs.
Caching: Memory/Redis/KV with short TTLs; pre-warm popular symbols and windows.
Batching: Fetch multiple symbols per cycle; parallelize carefully within limits.
Error catalog: Map 4xx/5xx to clear remediation; log request IDs for tracing.
Observability: Track p95/p99 latency and error rates; alert on drift.
Security: Store API keys in secrets managers; rotate regularly.

Use Cases & Patterns

Bot Builder (Headless): Gate entries by Sharpe ≥ threshold and drawdown ≤ limit, then trigger with /v2/trading-signals; size by inverse volatility.
Dashboard Builder (Product): Add a Quantmetrics panel to token pages; allow switching lookbacks (30d/90d/1y) and export CSV.
Screener Maker (Lightweight Tools): Top-N by Sortino with filters for volatility and sector; add alert toggles when thresholds cross.
Allocator/PM Tools: Blend CAGR, Sharpe, drawdown into a composite score to rank reallocations; show methodology for trust.
Research/Reporting: Weekly digest of tokens with Sharpe ↑, drawdown ↓, and volatility ↓.

Next Steps

Get API Key — start free and generate a key in seconds.
Run Hello-TM — verify your first successful call.
Clone a Template — deploy a screener or dashboard today.
Watch the demo: VIDEO_URL_HERE
Compare plans: Scale with API plans.

FAQs

1) What does the Quantmetrics API return?

A JSON snapshot of risk-adjusted metrics (e.g., Sharpe, Sortino, volatility, max drawdown, CAGR) for a symbol and lookback window—ideal for ranking, sizing, and dashboards.

2) How fresh are the stats? What about latency/SLOs?

Responses are engineered for predictable latency. For heavy UI usage, add short-TTL caching and batch requests; for alerts, use scheduled jobs or webhooks where available.

3) Can I use Quantmetrics to size positions in a live bot?

Yes—many quants size inversely to volatility or require Sharpe ≥ X to trade. Always backtest and paper-trade before going live; past results are illustrative, not guarantees.

4) Which lookback window should I choose?

Short windows (30–90d) adapt faster but are noisier; longer windows (6–12m) are steadier but slower to react. Offer users a toggle and cache each window.

5) Do you provide SDKs or examples?

REST is straightforward (JS/Python above). Docs include quickstarts, Postman collections, and templates—start with Run Hello-TM.

6) Polling vs webhooks for quant alerts?

Dashboards usually use cached polling. For threshold alerts (e.g., Sharpe crosses 1.0), run scheduled jobs and queue notifications to keep usage smooth and idempotent.

7) Pricing, limits, and enterprise SLAs?

Begin free and scale up. See API plans for rate limits and enterprise SLA options.

Disclaimer

All information provided in this blog is for educational purposes only. It is not intended as financial advice. Users should perform their own research and consult with licensed professionals before making any investment or trading decisions.

Crypto Trading Signals API: Put Bullish/Bearish Calls Right in Your App

Timing makes or breaks every trade. The crypto trading signals API from Token Metrics lets you surface bullish and bearish calls directly in your product—no spreadsheet wrangling, no chart gymnastics. In this guide, you’ll hit the /v2/trading-signals endpoint, display actionable signals on a token (e.g., SOL, BTC, ETH), and ship a conversion-ready feature for bots, dashboards, or Discord. Start by creating a key on Get API Key, then Run Hello-TM and Clone a Template to go live fast.

What You’ll Build in 2 Minutes

A minimal script that fetches Trading Signals via /v2/trading-signals for one symbol (e.g., SOL).
A copy-paste curl to smoke-test your key.
A UI pattern to render signal, confidence/score, and timestamp in your dashboard or bot.

Endpoints to add next

/v2/hourly-trading-signals (intraday updates)
/v2/resistance-support (risk placement)
/v2/tm-grade (one-score view)
/v2/quantmetrics (risk/return context)

Why This Matters

Action over analysis paralysis. Traders don’t need more lines on a chart—they need an opinionated call they can automate. The trading signals API compresses technical momentum and regime reads into Bullish/Bearish events you can rank, alert on, and route into strategies.

Built for dev speed and reliability. A clean schema, predictable performance, and straightforward auth make it easy to wire signals into bots, dashboards, and community tools. Pair with short-TTL caching or webhooks to minimize polling and keep latency low.

Where to Find

You can find the cURL request for Crypto Trading Signals in the top right corner of the API Reference. Use it to access the latest signals!

Live Demo & Templates

Trading Bot Starter: Use Bullish/Bearish calls to trigger paper trades; add take-profit/stop rules with Support/Resistance.
Dashboard Signal Panel: Show the latest call, confidence, and last-updated time; add a history table for context.
Discord/Telegram Alerts: Post signal changes to a channel with a link back to your app.

How It Works (Under the Hood)

Trading Signals distill model evidence (e.g., momentum regimes and pattern detections) into Bullish or Bearish calls with metadata such as confidence/score and timestamp. You request /v2/trading-signals?symbol=<ASSET> and render the most recent event, or a small history, in your UI.

For intraday workflows, use /v2/hourly-trading-signals to update positions or alerts more frequently. Dashboards typically use short-TTL caching or batched fetches; headless bots lean on webhooks, queues, or short polling with backoff to avoid spiky API usage.

Production Checklist

Rate limits: Know your tier caps; add client-side throttling and queues.
Retries/backoff: Exponential backoff with jitter; treat 429/5xx as transient.
Idempotency: Guard downstream actions (don’t double-trade on retries).
Caching: Memory/Redis/KV with short TTLs for reads; pre-warm popular symbols.
Webhooks & jobs: Prefer webhooks or scheduled workers for signal change alerts.
Pagination/Bulk: Batch symbols; parallelize with care; respect limits.
Error catalog: Map common 4xx/5xx to clear fixes; log request IDs.
Observability: Track p95/p99 latency, error rate, and alert delivery success.
Security: Keep keys in a secrets manager; rotate regularly.

Use Cases & Patterns

Bot Builder (Headless): Route Bullish into candidate entries; confirm with /v2/resistance-support for risk and TM Grade for quality.
Dashboard Builder (Product): Add a “Signals” module per token; color-code state and show history for credibility.
Screener Maker (Lightweight Tools): Filter lists by Bullish state; sort by confidence/score; add alert toggles.
Community/Discord: Post signal changes with links to token pages; throttle to avoid noise.
Allocator/PM Tools: Track signal hit rates by sector/timeframe to inform position sizing (paper-trade first).

Next Steps

Get API Key — create a key and start free.
Run Hello-TM — confirm your first successful call.
Clone a Template — deploy a bot, dashboard, or alerting tool today.

FAQs

1) What does the Trading Signals API return?

A JSON payload with the latest Bullish/Bearish call for a symbol, typically including a confidence/score and generated_at timestamp. You can render the latest call or a recent history for context.

2) Is it real-time? What about latency/SLOs?

Signals are designed for timely, programmatic use with predictable latency. For faster cycles, use /v2/hourly-trading-signals. Add caching and queues/webhooks to reduce round-trips.

3) Can I use the signals in a live trading bot?

Yes—many developers do. A common pattern is: Signals → candidate entry, Support/Resistance → stop/targets, Quantmetrics → risk sizing. Always backtest and paper-trade before going live.

4) How accurate are the signals?

Backtests are illustrative, not guarantees. Treat signals as one input in a broader framework with risk controls. Evaluate hit rates and drawdowns on your universe/timeframe.

5) Do you provide SDKs and examples?

You can integrate via REST using JavaScript and Python snippets above. The docs include quickstarts, Postman collections, and templates—start with Run Hello-TM.

6) Polling vs webhooks for alerts?

Dashboards often use cached polling. For bots/alerts, prefer webhooks or scheduled jobs and keep retries idempotent to avoid duplicate trades or messages.

7) Pricing, limits, and enterprise SLAs?

Begin free and scale as you grow. See API plans for allowances; enterprise SLAs and support are available.

Fundamental Grade Crypto API: Real Crypto Fundamentals in One Score

Most traders chase price action; Fundamental Grade Crypto API helps you see the business behind the token—community traction, tokenomics design, exchange presence, VC signals, and DeFi health—consolidated into one score you can query in code. In a few minutes, you’ll fetch Fundamental Grade, render it in your product, and ship a due-diligence UX that drives trust. Start by grabbing your key at the Get API Key page, Run Hello-TM to verify your first call, then Clone a Template to go live fast.

What You’ll Build in 2 Minutes

A minimal script to fetch Fundamental Grade from /v2/fundamental-grade for any symbol (e.g., BTC).

Optional curl to smoke-test your key in seconds.
A drop-in pattern to display the grade + key drivers in dashboards, screeners, and research tools.

Endpoints to consider next

/v2/tm-grade (technical/sentiment/momentum)
/v2/price-prediction (scenario planning)
/v2/resistance-support (risk levels)
/v2/quantmetrics (risk/return stats)

Why This Matters

Beyond price, toward quality. Markets are noisy—hype rises and fades. Fundamental Grade consolidates hard-to-track signals (community growth, token distribution, liquidity venues, investor quality, DeFi integrations) into a clear, comparable score. You get a fast “is this worth time and capital?” answer for screening, allocation, and monitoring.

Build trust into your product. Whether you run an investor terminal, exchange research tab, or a portfolio tool, Token Metrics discovery helps users justify positions. Pair it with TM Grade or Quantmetrics for a balanced picture: what to buy (fundamentals) and when to act (signals/levels).

Where to Find

The Fundamental Grade is easily accessible in the top right of the API Reference. Grab the cURL request for seamless access!

Ready to build?

Get API Key — generate a key and start free.
Run Hello-TM — verify your first successful call.
Clone a Template — deploy a screener or token page today.

Watch the demo: VIDEO_URL_HERE. Compare plans: Scale confidently with API plans.

FAQs

1) What does the Fundamental Grade API return?

A JSON payload with the overall score/grade plus component scores (e.g., community, tokenomics, exchange presence, VC backing, DeFi health) and timestamps. Use the overall grade for ranking and component scores for explanations.

2) How fast is the endpoint? Do you publish SLOs?

The API is engineered for predictable latency. For high-traffic dashboards, add short-TTL caching and batch requests; for alerts, use jobs/webhooks to minimize round-trips.

3) Can I combine Fundamental Grade with TM Grade or signals?

Yes. A common pattern is Fundamental Grade for quality filter + TM Grade for technical/sentiment context + Trading Signals for timing and Support/Resistance for risk placement.

4) How “accurate” is the grade?

It’s an opinionated synthesis of multiple inputs—not financial advice. Historical studies can inform usage, but past performance doesn’t guarantee future results. Always layer risk management and testing.

5) Do you offer SDKs and examples?

You can use REST directly (see JS/Python above). The docs include quickstarts, Postman, and ready-to-clone templates—start with Run Hello-TM.

6) Polling vs webhooks for fundamentals updates?

For UI pages, cached polling works well. For event-style notifications (upgrades/downgrades), prefer webhooks or scheduled jobs to avoid spiky traffic.

7) What about pricing, limits, and enterprise SLAs?

Begin free and scale as you grow. See API plans for allowances; enterprise SLAs and support are available—contact us.

Fundamental Grade Crypto API: Invest with Conviction Using Real Project Signals

Most traders chase price action; Fundamental Grade Crypto API helps you see the business behind the token—community traction, tokenomics design, exchange presence, VC signals, and DeFi health—consolidated into one score you can query in code. In a few minutes, you’ll fetch Fundamental Grade, render it in your product, and ship a due-diligence UX that drives trust. Start by grabbing your key at the Get API Key page, Run Hello-TM to verify your first call, then Clone a Template to go live fast.

What You’ll Build in 2 Minutes

A minimal script to fetch Fundamental Grade from /v2/fundamental-grade for any symbol (e.g., BTC).

Optional curl to smoke-test your key in seconds.
A drop-in pattern to display the grade + key drivers in dashboards, screeners, and research tools.

Endpoints to consider next:

/v2/tm-grade (technical/sentiment/momentum)
/v2/price-prediction (scenario planning)
/v2/resistance-support (risk levels)
/v2/quantmetrics (risk/return stats)

Why This Matters

Beyond price, toward quality. Markets are noisy—hype rises and fades. Fundamental Grade consolidates hard-to-track signals (community growth, token distribution, liquidity venues, investor quality, DeFi integrations) into a clear, comparable score. You get a fast “is this worth time and capital?” answer for screening, allocation, and monitoring.

Build trust into your product. Whether you run an investor terminal, exchange research tab, or a portfolio tool, Fundamental Grade lets users justify positions. Pair it with TM Grade or Quantmetrics for a balanced picture: what to buy (fundamentals) and when to act (signals/levels).

Where to Find The Fundamental Grade

The Fundamental Grade is easily accessible in the top right of the API Reference. Grab the cURL request for seamless access!

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How It Works (Under the Hood)

Fundamental Grade aggregates multiple project-quality signals into a normalized score and label (e.g., Strong / Average / Weak). Typical sub-signals include:

Community: momentum across channels (dev activity/user traction signals where applicable).
Tokenomics: supply schedule, distribution, unlock dynamics, incentives.
Exchange Presence: venue coverage, depth/liquidity proxies.
VC/Investor Signals: quality/durability of backing and ecosystem support.
DeFi Health: integrations, TVL context, composability footprint.

At query time, you call /v2/fundamental-grade with a symbol; responses include the overall score plus component scores you can visualize. For dashboards with many assets, batch fetches and short-TTL caching keep pages responsive. If you push alerts (e.g., “Fundamental Grade upgraded”), prefer webhooks or queued jobs to avoid hammering the API.

Production Checklist

Rate limits: Know plan caps; add client throttling and request queues.
Retries/backoff: Exponential backoff + jitter; surface actionable error messages.
Idempotency: Prevent duplicate downstream actions on retried calls.
Caching: Use memory/Redis/KV with short TTLs; pre-warm popular symbols.
Webhooks & jobs: For alerts, use signed webhooks or scheduled jobs; log delivery outcomes.
Pagination/Bulk: When covering many tokens, paginate or process in batches.
Error catalog: Map 4xx/5xx to user-visible fixes; log request IDs.
Observability: Track p95/p99 and error rate per endpoint; alert on spikes.
Security: Keep API keys in secrets managers; rotate regularly.

Use Cases & Patterns

Screener Maker: Rank tokens by Fundamental Grade, filter by market cap/sector, and add “rising fundamentals” badges for discovery.
Dashboard Builder: On each token page, show the headline grade with a component chart; link to methodology for transparency.
Research & PM Tools: Flag downgrades/upgrades to prompt re-evaluation; attach notes to component changes (e.g., DeFi health drop).
Allocator / Risk: Require a minimum Fundamental Grade before inclusion; rebalance only when grade crosses thresholds.
Community/Discord: Post weekly upgrades as digest messages with links back to your app.

Next Steps

Get API Key — generate a key and start free.
Run Hello-TM — verify your first successful call.
Clone a Template — deploy a screener or token page today.
Watch the demo: VIDEO_URL_HERE
Compare plans: Scale confidently with API plans.

FAQs

1) What does the Fundamental Grade API return?

2) How fast is the endpoint? Do you publish SLOs?

The API is engineered for predictable latency. For high-traffic dashboards, add short-TTL caching and batch requests; for alerts, use jobs/webhooks to minimize round-trips.

3) Can I combine Fundamental Grade with TM Grade or signals?

Yes. A common pattern is Fundamental Grade for quality filter + TM Grade for technical/sentiment context + Trading Signals for timing and Support/Resistance for risk placement.

4) How “accurate” is the grade?

5) Do you offer SDKs and examples?

You can use REST directly (see JS/Python above). The docs include quickstarts, Postman, and ready-to-clone templates—start with Run Hello-TM.

Indices Hub: Join the Waitlist for TM Global 100 (2025)

→ Join the waitlist to be first to trade TM Global 100.

If you’ve been waiting for a simple, rules-based way to own the Token Metrics Global 100—without micromanaging tokens—this hub is for you. The TM Global 100 is a rules-based crypto index that holds the top 100 assets in bull markets and moves to stablecoins in bear markets, with weekly rebalancing and transparent holdings/transaction logs you can verify at any time. It’s designed for hands-off allocators who want disciplined exposure and for active traders who want a core that adapts to regimes—without guesswork or endless rebalancing. Below you’ll find how it works, who it’s for, and exactly how to join the waitlist so you’re first in line when trading opens.

Why Indices Matter in October 2025

Search intent right now: investors want credible, rules-based crypto exposure that can participate in upside while reducing drawdown pain. A crypto index is a basket of assets selected and maintained by rules—so you avoid one-off bets and constant manual rebalancing.

With liquidity rotating quickly across sectors, weekly rebalancing helps maintain alignment with current market-cap leaders, while regime switching provides a disciplined, pre-defined response to bearish conditions. The result is a clear, consistent process that removes emotional decision-making and operational drag.

Definition

A crypto index is a rules-based basket of digital assets that’s constructed, weighted, and rebalanced on a set schedule.

How the TM Global 100 Index Works (Plain English)

Regime switching: Bullish: Hold the top-100 crypto assets by market cap.
Bearish: Exit all positions into stablecoins and wait for a new bullish signal.

Weekly rebalancing: Reflects updated rankings and weights across the market-cap universe.
Transparency: Strategy modal shows methodology and thresholds; Gauge → Holdings Treemap → Transactions Log make every change visible.

What you’ll see on launch: Price tile, gauge (“rebalances weekly”), 100 tokens, one-click Buy Index flow, and a 90-second checkout via embedded wallet.‍See the strategy and rules.

Benefits at a Glance (Why This Beats DIY)

Time saved: No more manual coin-picking, sizing, and calendar rebalances.
Lower execution drag: One click vs. dozens of individual orders that can add slippage.
Stay current: Weekly rebalances help you capture market-cap changes without constant monitoring.
Discipline in drawdowns: Automatic switch to stablecoins removes panic decisions.
Radical visibility: Holdings treemap, table, and transactions log show what you own and what changed—every week.
Operational simplicity: Embedded wallet and a unified dashboard; no juggling chains and exchanges.

Step-by-Step: How to Get Early Access (Waitlist)

Open the Indices Hub: Head to the Token Metrics Indices hub.
Choose TM Global 100: Open the index page and review the Gauge → Strategy → Holdings.
Join the Waitlist: Add your email to be notified the moment trading opens.
(Optional) Connect Wallet: Pre-connect your wallet for a faster launch-day checkout.

Launch-Day Flow (~90 seconds): Tap Buy Index, review fees/slippage, confirm, and see your position in My Indices. Track Rebalances: After each weekly rebalance or regime change, check the Transactions Log for updates.

→ Join the waitlist to be first to trade TM Global 100.

Decision Guide: Is This Right for You?

Hands-Off Allocator: Want broad exposure without micromanaging? Yes—rules-based + weekly rebalances.
Active Trader: Need a core that sits in stables during bears while you hunt edges elsewhere? Fits.
TM Member/Prospect: Already trust Token Metrics research? This is the rules-based version of “own the market.”
Risk-Aware Newcomer: Prefer a clear framework over vibes? Methodology is visible and auditable.
DIY Basket Builder: Tired of missed rebalances and slippage? One click can reduce execution drag.
Data-First Analyst: Want to verify? See the holdings, weights, and transaction history anytime.

FAQs

1) What is a TM Global 100 index?

It’s a rules-based crypto index that holds the top 100 assets by market cap in bullish regimes and moves to stablecoins in bearish regimes. It rebalances weekly and shows transparent holdings and transactions.

2) How often does the index rebalance?

Weekly, with additional full-portfolio switches when the market regime changes.

3) What triggers the move to stablecoins?

A proprietary market signal. When bearish, the index exits all token positions into stablecoins and waits for a bullish re-entry signal.

4) Can I fund with USDC or fiat?

At launch, funding and settlement options surface based on the embedded wallet and supported chains. USDC payouts are supported for selling; additional entry options may be introduced later.

5) Is the wallet custodial?

No. The Embedded Wallet is self-custodial—you control your funds while using a streamlined, on-chain checkout.

6) How are fees shown?

Before you confirm, the Buy flow shows estimated gas, platform fee, maximum slippage, and the minimum expected value.

7) How do I join the waitlist?

Go to the Token Metrics Indices hub or the TM Global 100 strategy page and submit your email. We’ll notify you the moment trading opens.

Security, Risk & Transparency

Self-custody: Embedded smart wallet; you hold the keys.
2FA & session hygiene: Use strong auth practices for your TM account.
Fee clarity: Gas, platform fee, and slippage are displayed before you confirm.
Auditability: Holdings, treemap, and transactions log are always visible.
Model limits: Regime logic can be wrong, and markets can gap; rules reduce discretion—not risk.
Regional availability: Product surfaces may vary by region as we expand.

Crypto is volatile and can lose value. Past performance is not indicative of future results. This article is for research/education, not financial advice.

Conclusion

If you want a disciplined, rules-based core that adapts to market regimes, Token Metrics Global 100 is built for you. Weekly rebalances, transparent holdings, and one-click buy remove operational friction so you can focus on your strategy.

→ Click here to get early access to Token Metrics indices.

Top Crypto Index for Hands-Off Portfolios (2025)

If you want broad exposure to cryptocurrencies without constant chart monitoring, a top crypto index offers a streamlined way to participate in the market. Token Metrics provides innovative tools to help you understand and access such indices efficiently.

Opening Hook

If you’re seeking an uncomplicated, rules-driven approach to crypto investing that adapts to market conditions, a top crypto index might be worth exploring. These indexes automate the process of capturing upside potential while managing risk during downturns, making crypto investing more accessible for a variety of investor profiles.

What is a Crypto Index?

A crypto index is a systematic, rules-based collection of digital assets that reflects a specific universe—such as the top 100 cryptocurrencies by market capitalization. It relies on transparent methodologies and scheduled rebalancing to ensure that the composition remains aligned with market dynamics. These indexes aim to provide broad exposure while reducing the need for individual asset management.

How Top Crypto Indexes Function in 2025

Many modern crypto indexes incorporate regime switching mechanisms: during bullish periods, they hold top assets; during bear markets, they shift to stablecoins to mitigate losses. Weekly rebalancing updates the constituents based on current market rankings, and transparency tools such as strategy descriptions, gauges, and transaction logs allow users to verify holdings and changes in real-time.

Benefits of Using a Crypto Index Over DIY Approaches

Time efficiency: Automates rebalancing and regime switching, saving manual effort.
Lower slippage: Executes large baskets with minimal impact on prices.
Consistency: Ensures regular rebalancing and discipline during volatile periods.
Transparency: Clear logs and dashboards allow for full accountability.
Speed: Simplified onboarding with quick allocation processes.

Getting Early Access to Top Crypto Indexes

To gain early exposure, follow these steps:

Open the Token Metrics Indices hub.
Select TM Global 100 and view its details.
Tap “Join Waitlist” and enter your email (optionally connect your wallet).
Review strategy criteria, holdings, and rebalancing rules.
Once launched, connect your wallet, review estimated fees, and confirm your allocation.
Funds appear in your index portfolio, enabling easy tracking and management.

Is This Index Suitable for You?

Consider your investment style:

Hands-Off Allocator: Ideal if you prefer broad market exposure with minimal management.
Active Trader: Use as a core component, complemented by higher-beta bets.
New to Crypto: Great for beginners seeking transparent exposure through simplified flows.
DIY Enthusiast: Replace complex basket-building with a rules-based index.
Self-Custody User: Benefit from integrated self-custodial wallets with clear transaction records.

FAQs

What is a top crypto index?

It is a rules-based basket that tracks a defined universe of digital assets—such as the top 100 by market cap—using transparent methodology and scheduled rebalancing.

How often does the index rebalance?

The index rebalances weekly, with regime switches occurring when market signals change, ensuring adaptability during different market cycles.

What prompts the move to stablecoins?

A proprietary market-regime signal triggers the transition, exiting token positions to stablecoins during bearish periods and re-entering when signals turn bullish.

Can I fund with USDC or fiat?

At launch, the embedded wallet will support supported funding options based on your chain or wallet. USDC payout is available upon sale; further options may follow.

Is the wallet custodial?

No. It’s an embedded, self-custodial smart wallet—giving you full control over your private keys and funds.

How are fees shown?

Estimated gas, platform fee, slippage, and minimum expected value are displayed before you confirm the transaction, providing full transparency.

How do I join the waitlist?

Visit the Token Metrics Indices hub or the TM Global 100 page, tap “Join Waitlist,” and follow the instructions to register your interest and prepare for launch.

Disclaimer

Crypto assets are highly volatile and can result in significant losses. Past performance does not guarantee future results. This content is for research and educational purposes only and not financial advice.

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