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Stop Guessing, Start Trading: The Token Metrics API Advantage

Announcements

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:

  1. Sign up at www.tokenmetrics.com/api
  2. Generate an API key and explore sample requests.
  3. Choose a tier–start with 50 free API calls/month, or stake TMAI tokens for premium access.
  4. 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.

Research

Building the On-Chain S&P 500: A Technical Deep Dive into TM100 | Crypto Indices

Token Metrics Team
10
MIN

Welcome to a deep dive into the evolution of crypto portfolio management and how innovative on-chain indices are shaping the future of digital asset strategies. As the crypto landscape matures, new methodologies emerge to address longstanding challenges and unlock new opportunities for investors and developers alike.

The Evolution of Crypto Portfolio Management

We've been working toward this launch for several years, through multiple pivots and market cycles. What started as a centralized exchange concept evolved into a fully on-chain solution as we observed the market's clear trajectory toward decentralized infrastructure. The TM100 index represents our most significant product development to date: a non-custodial, cross-chain crypto index with integrated risk management.

The crypto market has matured considerably since 2017. We've collectively experienced the pattern: massive rallies followed by 70-95% drawdowns, the challenge of maintaining discipline during euphoria, and the difficulty of executing systematic strategies when emotions run high. This cycle presents unique characteristics—it's become intensely narrative-driven and trading-focused, with leadership rotating weekly rather than quarterly.

The Core Problem

Traditional crypto portfolio management faces several structural challenges:

  • Execution Complexity: Acquiring exposure across multiple blockchains requires navigating different exchanges, handling KYC requirements, managing multiple wallets, and executing cross-chain bridges. Even with institutional access, certain exchanges remain unavailable due to regulatory constraints, forcing reliance on OTC desks with varying asset availability.
  • Narrative Velocity: This cycle moves faster than previous ones. What works in Q1 may be obsolete by Q2. Bitcoin dominance fluctuates, sector leadership rotates rapidly (we've seen AI, memes, DeFi, RWAs all take turns), and weekly rebalancing has become necessary where quarterly sufficed before.
  • Drawdown Management: The most sophisticated analysis means little if you can't execute the exit. Behavioral finance research consistently shows that humans struggle to sell winning positions or admit mistakes on losing ones. Automation removes the emotional component entirely.
  • Access and Custody: Every centralized platform introduces counterparty risk, as demonstrated by FTX, Celsius, and BlockFi. The industry learned "not your keys, not your crypto" the hard way.

Technical Architecture

Multi-Chain Infrastructure

The TM100 operates across seven blockchains: Ethereum, Base, Binance Smart Chain, Polygon, Avalanche, Arbitrum, and Solana. This represents six EVM-compatible chains plus Solana, covering the vast majority of liquid crypto assets.

We use wrapped derivatives (WBTC instead of BTC, WETH instead of ETH) to standardize operations across EVM chains. All funds are held in a master vault on Base (selected for lower transaction costs), with sub-vaults on other chains holding underlying assets.

Selection Methodology

The index tracks the top 100 tokens by market capitalization, filtered through two critical criteria:

  • Liquidity Floor: Minimum 300k TVL in AMM pools. This ensures executable trades without excessive slippage.
  • Circulating Supply: Minimum 25% circulation. This filters out low-float VC projects prone to unlock dumps.

Market cap weighting determines position sizing, with weekly rebalancing to capture narrative shifts. Our backtesting suggests 5-15% portfolio turnover weekly to monthly, depending on market conditions.

The Risk Management Layer

This is where the product differentiates from passive indices. We've integrated our market indicator to create a risk-off mechanism:

  • Bullish Signal: Full allocation to filtered top 100 tokens, rebalanced weekly.
  • Bearish Signal: Exit to yield-bearing assets (Sky stablecoin at approximately 4% yield, PAX Gold).

The system doesn't try to catch falling knives. When the market indicator flips bearish, the index systematically exits. This addresses what we consider the primary challenge in crypto: not missing the rally, but avoiding the round trip.

Smart Contract Standards

We're using ERC-4626, Ethereum's tokenized vault standard. This provides:

  • Standardized deposit/withdrawal interfaces
  • Composability with other DeFi protocols
  • Auditable, battle-tested contract patterns
  • Clear ownership representation via index tokens

The delegated actions feature (ERC-7682) allows automated rebalancing while maintaining non-custodial status. Users grant permission for the vault to rebalance but retain ultimate control and withdrawal rights.

Security Infrastructure

Given the target scale (we're planning for significant AUM), security requires multiple layers:

  • Wallet Layer (Privy): Handles authentication and wallet abstraction. Supports social logins, email, and traditional wallet connections. Used by major platforms including Hyperliquid and Polymarket.
  • Key Management (Turnkey): Secure private key infrastructure. Keys never exist in plaintext on application servers.
  • Contract Audits (Cantina/Spiritbit): Comprehensive smart contract audits before launch, with ongoing review processes.
  • Real-Time Monitoring (Hypernative): This proved expensive but necessary. Hypernative's AI-powered firewall monitors transactions in real-time and can pause contracts if suspicious activity is detected. Built by Israeli cybersecurity engineers, it's used by protocols like Uniswap. Given potential AUM, we couldn't rely solely on pre-deployment audits.

DeFi Composability: The Real Innovation

The index token itself becomes a tradable, yield-bearing, composable asset. This creates possibilities beyond traditional index funds:

Primary Markets

  • Index tokens can trade on DEXs (Uniswap, Aerodrome) and potentially centralized exchanges. This solves the liquidity problem that traditional funds face—your ownership stake can be exited anytime at market prices.
  • Yield Separation (Pendle): Platforms like Pendle allow separating principal from yield. Institutional investors could buy the principal token (price exposure without yield), while others buy yield tokens (yield without price exposure). This requires approximately $2 million+ TVL for listing.
  • Collateralization (Morpho, Euler): Money markets could accept index tokens as collateral. Users maintain full crypto market exposure while borrowing against their position—capturing upside without selling, potentially using borrowed capital for other opportunities.
  • Treasury Integration: DAOs and protocols often hold idle treasury assets. Rather than choosing between stablecoins (no upside) or Bitcoin (concentrated risk), treasuries could hold diversified crypto exposure via index tokens, with automated bear market protection.

API Access

We're integrating TM100 into our developer API. AI agents built on Virtual Protocol or Eliza can programmatically invest in the index. During our European hackathon, treasury management emerged as the most popular use case.

This composability creates network effects. As TVL grows, more DeFi protocols integrate the token, attracting more capital, which enables further integrations—a sustainable flywheel.

Performance Analysis

Disclaimer: All results are backtested simulations, not live trading results.

Testing from 2017 to present:

  • Annualized Return: 104% (no fees), 85% (with fees)
  • Volatility: 45%
  • Sharpe Ratio: 1.58
  • Sortino Ratio: 2.0
  • Maximum Drawdown: 41%

The maximum drawdown metric deserves emphasis. Bitcoin historically shows approximately 75% peak-to-trough drawdowns. A 41% maximum drawdown represents significant downside protection while maintaining similar Sharpe ratios to Bitcoin (around 1.5 for BTC this cycle).

Across cycles, Bitcoin's maximum drawdown tends to decrease by about 10% each cycle: from roughly 95% two cycles ago, to around 85% last cycle, and an estimated 75% in this cycle. The asset is maturing, attracting institutional capital with lower volatility tolerance. Altcoins generally lag Bitcoin by one cycle in this pattern, with Ethereum’s drawdown characteristics mirroring Bitcoin's from a prior cycle.

Fee Structure and Economics

Management Fee: 1% annually, accruing on-chain (likely daily). Performance Fee: 15% quarterly, with a high watermark. This means fees are only charged on new profits. If the index increases then falls, no fees are due until it surpasses its previous peak.

For context, our Token Metrics Ventures fund charges 2% management and 20% performance. The index’s lower fees are due to operational efficiencies once smart contracts are deployed.

TMAI Integration

Our native token reduces fees through staking scores:

  • Score of 10: Performance fee drops to 5%
  • Score of 10: Management fee drops to 0.5%
  • Ten percent of platform fees flow to the DAO: 50% for TMAI buyback and burn, and 50% distributed to stakers proportional to veTM holdings.
  • This setup aligns incentives: users who stake and participate benefit from fee discounts and revenue sharing.

    Liquidity and Execution

    Phase 1 (Current): LI.FI integration for smart order routing. Handles trades up to around $25,000 efficiently with minimal slippage.

    Phase 2 (Q4 target): Market maker integrations (Wintermute, Amber) for larger orders via request-for-quote. Orders between $25,000 and $250,000 will compare on-chain quotes against market maker quotes for optimal execution.

    Phase 3 (Planned): Full API access for programmatic trading and platform integration. Current methods pool capital over 24 hours to optimize gas and price impact; future iterations will execute more granular trades staggered throughout the day.

    Market Context and Timing

    We project a cycle peak around spring to fall 2026, roughly one year from now. Our key targets include:

    • Bitcoin at approximately $140-145K (from recent levels)
    • Total crypto market cap between $8-14 trillion
    • Maximum drawdown around 65% from peak

    This cycle is characterized by intense trading activity, with perpetual platforms like Hyperliquid, Bybit, and Binance dominating volume. Narrative rotation occurs weekly, and every major exchange is launching on-chain alternatives, reflecting shifting liquidity flows.

    Our strategic focus has shifted from new venture investments to liquid strategies, given the challenges posed by high-FDV launches and retail behavior. Regulatory developments and stablecoin adoption are accelerating tokenization and traditional asset integrations.

    As a cyclical asset class, crypto's resilience depends on timing accurately. If the cycle extends beyond 2026, the index remains deployed; if the market turns bearish, the system withdraws to preserve capital. This adaptive approach aims to leverage both uptrends and downturns.

    Implementation Details

    The early access process involves:

    1. Form Submission: Interest form to gauge demand and plan infrastructure scaling.
    2. Wallet Funding: Users fund via existing wallets or fiat ramps like Moonpay or Coinbase, as non-custodial platforms require.
    3. Delegated Actions: Permissions granted for rebalancing actions.
    4. Token Receipt: Receive index tokens representing ownership.

    The platform provides:

    • Real-time holdings across chains
    • Weekly rebalancing history
    • Quarterly performance fee calculations
    • Market indicator status (risk-on/risk-off)
    • Transaction history exports for tax reporting

    Once received, index tokens are immediately tradable and composable, supporting a variety of DeFi strategies.

    Beyond TM100: Future Considerations

    While initial plans included multiple sector-specific indices (AI, memes, DeFi), liquidity fragmentation and lower-than-expected volume have shifted focus to a single, highly liquid index. Benefits of this approach include:

    • Deeper liquidity pools
    • Enhanced DEX integration
    • Attractiveness to protocols requiring minimum liquidity
    • Simpler user experience

    Future concepts include:

    • Listing index tokens on traditional exchanges or asset management platforms
    • Derivatives, options, and structured products based on index tokens
    • Integration with institutional custody and compliance solutions

    Why This Matters

    The crypto market has long sought robust, on-chain infrastructure to address retail and institutional needs. Challenges include concentrated bets, custody risks, and high fees. Many high-profile failures underscored the importance of transparency, automation, and non-custodial design.

    The Token Metrics TM100 aims to provide a systematic, transparent, and secure solution for diversified exposure, harnessing DeFi’s composability and automation to support a mature market infrastructure.

    Technical Roadmap

    Current (Early Access):

    • Core index deployment on Base
    • LI.FI integration for optimized order routing
    • Dashboard with analytics
    • Manual onboarding and support

    Q4 2024:

    • Market maker integrations
    • Automation of execution algorithms
    • Enhanced onboarding flow
    • Referral program launch

    Q1 2025:

    • Full API release
    • Additional protocol integrations
    • Enhanced analytics dashboard
    • Mobile app considerations

    Beyond 2025:

    • Yield options and derivatives
    • Cross-protocol composability
    • Institutional custody solutions

    Conclusion

    Building on-chain infrastructure involves unique tradeoffs: immutability, gas costs, and layered security. By approaching TM100 as foundational infrastructure, we aim to provide a primitive that supports innovation and institutional adoption alike. As crypto matures, this decentralized, secure, and composable approach enables new sophistication in digital asset management.

    The code is entering final audits. Early access onboarding begins soon. The foundational infrastructure is ready to serve the evolving demands of the crypto ecosystem.

    For early access information and technical documentation, visit our platform. All performance data represents backtested simulations and should not be considered indicative of future results. Cryptocurrency investments carry substantial risk including potential total loss of capital.

Research

The Self-Custodial Crypto Index: Why You Don't Need to Trust Us With Your Crypto

Token Metrics Team
12
MIN

"Not your keys, not your crypto" has become the defining mantra of crypto's sovereignty movement. Yet most crypto indices require exactly what the industry warns against: trusting a third party with custody of your assets. You deposit funds into their platform, they promise to manage it responsibly, and you hope they're not the next FTX, Celsius, or BlockFi.Token Metrics built TM Global 100 on a radically different principle: you shouldn't need to trust us. The index operates through self-custodial embedded wallets where you maintain complete control of your funds. Token Metrics cannot access your crypto, cannot freeze your account, cannot require permission to withdraw, and cannot misuse your capital—not because we promise not to, but because the architecture makes it impossible.

This isn't marketing language. It's verifiable through on-chain examination of the smart contract wallet system. Understanding why this matters requires reviewing crypto's history of custodial failures—and understanding how Token Metrics' approach eliminates these risks entirely while maintaining sophisticated index functionality.

The Custodial Crisis: When "Trust Us" Fails

Crypto's short history is littered with custodial disasters. Each promised security, each broke that promise, and each reinforced why self-custody matters.

The Hall of Shame: Major Custodial Failures

  • Mt. Gox (2014): Once handled 70% of all Bitcoin transactions. Declared bankruptcy after losing 850,000 BTC (~$450M at the time). Users had no recourse—funds simply vanished. Lesson: Size and market dominance don't guarantee security.
  • QuadrigaCX (2019): Canadian exchange collapsed after founder's death. $190M in customer funds inaccessible. Revealed funds had been misappropriated for years. Lesson: Single points of failure create catastrophic risk.
  • Celsius Network (2022): Promised 18%+ yields on deposits. Filed bankruptcy owing $4.7B to users. Revealed massive mismanagement and risky lending. Users waited years for partial recovery. Lesson: High yields often mask unsustainable business models.
  • FTX (2022): Third-largest exchange by volume. Collapsed in 72 hours after revealing $8B hole in balance sheet. Customer deposits illegally used for proprietary trading. Criminal charges against leadership. Lesson: Even "reputable" custodians can commit fraud.
  • BlockFi (2022): Lending platform with 650,000+ users. Bankruptcy following exposure to FTX and Three Arrows Capital. Users became unsecured creditors. Lesson: Custodial services create contagion risk across platforms.

The Common Pattern

  1. Trust establishment: Platform builds reputation through marketing, partnerships, and perceived legitimacy.
  2. Deposit accumulation: Users transfer custody of assets based on trust.
  3. Mismanagement/fraud: Platform misuses funds through incompetence or malice.
  4. Crisis discovery: Problem becomes public, often suddenly.
  5. Withdrawal freeze: Platform blocks user access to protect remaining assets.
  6. Bankruptcy: Legal proceedings that recover pennies on the dollar.

Token Metrics analyzed 23 major crypto custodial failures from 2014-2024. Average customer recovery: 31 cents per dollar. Average recovery timeline: 2.7 years. Percentage of cases with criminal charges: 39%. The data is clear: custodial risk isn't theoretical. It's the largest predictable loss vector in crypto investing.

What Self-Custody Actually Means

Self-custody means you—and only you—control the private keys that authorize transactions from your wallet. No intermediary can access, freeze, seize, or require approval to move your funds.

The Key Principles

  • Principle 1: Exclusive Control Traditional custody: Provider holds private keys. You request withdrawals. They approve or deny. Self-custody: You hold private keys (or control smart contract wallet). You authorize transactions. No third-party approval required.
  • Principle 2: On-Chain Verification Custodial balances: Provider's database says you own X tokens. You trust their accounting. Self-custodial balances: Blockchain shows your wallet address owns X tokens. Publicly verifiable, tamper-proof.
  • Principle 3: Counterparty Independence Custodial services: If provider goes bankrupt, your funds are trapped in legal proceedings. Self-custody: If a service provider disappears, your funds remain accessible in your wallet.
  • Principle 4: Censorship Resistance Custodians: Can freeze accounts, block transactions, or seize funds based on their policies or government requests. Self-custody: No entity can prevent you from transacting (subject only to blockchain protocol rules).

The Traditional Self-Custody Tradeoffs

Pure self-custody (hardware wallets, MetaMask, etc.) provides maximum security but historically came with significant operational burden:

  • Complex setup processes (seed phrases, hardware wallets)
  • Manual transaction signing for every action
  • No recovery if seed phrase is lost
  • Technical knowledge requirements
  • Limited functionality (no automated strategies)

These tradeoffs meant most users chose custodial services for convenience—accepting counterparty risk for operational simplicity. Token Metrics' embedded wallet architecture eliminates this false choice.

Token Metrics' Self-Custodial Architecture

TM Global 100 uses embedded smart contract wallets that provide self-custody without traditional complexity. Here's how it works:

Smart Contract Wallets Explained

Traditional crypto wallets are "externally owned accounts" (EOAs)—addresses controlled by a single private key. Lose that key, lose the funds. Smart contract wallets are programmable accounts with built-in security features and recovery mechanisms.

  • Multi-Factor Authentication: Instead of a single private key, wallet access uses email verification, biometrics, or social login. The cryptographic keys are sharded across multiple secure enclaves—no single point of compromise.
  • Social Recovery: If you lose access (lost phone, forgotten password), designated guardians or recovery mechanisms restore access without needing a 12-word seed phrase stored on paper.
  • Programmable Security: Set spending limits, require multi-signature for large transactions, whitelist addresses, or implement time-locks. Security policies impossible with traditional wallets.
  • Account Abstraction: Gas fee management, transaction batching, and network switching happen automatically. Users see simple dollar amounts and confirmations, not hexadecimal addresses.

Who Controls What

  • You Control: Wallet access (through your authentication), transaction authorization (all buys/sells require your approval), fund withdrawals (move to any address, anytime), recovery mechanisms (designate guardians if desired).
  • Token Metrics Controls: Index strategy (what TM Global 100 holds), rebalancing execution (when signals say to rebalance), smart contract development (code underlying the system).

Token Metrics CANNOT:

  • Access your wallet without your authentication
  • Withdraw your funds to any address
  • Freeze your account or block transactions
  • Require approval to move your assets
  • Seize funds under any circumstances

This separation is enforced by smart contract architecture, not trust. The code determines what's possible—and accessing user funds isn't possible, even if Token Metrics wanted to.

On-Chain Verification

Every TM Global 100 wallet is a publicly visible blockchain address. Using blockchain explorers (Etherscan, etc.), anyone can verify:

  • Wallet balance matches what the interface shows
  • Transaction history matches logged rebalances
  • Funds are actually in user-controlled wallet, not Token Metrics' custody
  • Smart contract permissions don't allow Token Metrics withdrawal authority

This transparency means trust becomes optional—you verify rather than trust.

The Practical Reality: How Self-Custody Works Daily

Token Metrics designed TM Global 100's self-custodial experience to be invisible to users while maintaining full sovereignty.

Initial Setup (90 seconds)

  • Navigate to TM Global 100 on Token Metrics Indices hub
  • Click "Buy Index"
  • Create embedded wallet: Provide email or use social login (Google, Apple)
  • Set authentication: Biometrics or password
  • Fund wallet: Transfer crypto or use on-ramp to purchase
  • Confirm purchase: Review TM Global 100 details and approve

Your wallet is created, you control it, and you've bought the index—all while maintaining self-custody.

Ongoing Operations (Zero Custody Risk)

Weekly Rebalances: Token Metrics' smart contract initiates rebalance based on strategy rules. Transaction occurs within YOUR wallet (not custodial account). You can see the transaction on blockchain explorers. Funds never leave your control—they just recompose from BTC+ETH+... to updated weights.

Regime Switches: When signals turn bearish, YOUR wallet sells crypto and holds stables. When signals turn bullish, YOUR wallet buys crypto from stables. Token Metrics triggers the transaction, but it executes in your self-custodial wallet.

Withdrawals: At any time, withdraw some or all funds to any address. No approval needed from Token Metrics. It’s a standard blockchain transaction—Token Metrics can't block it.

What Happens If Token Metrics Disappears?

Imagine Token Metrics goes bankrupt tomorrow. With custodial services, your funds are trapped. With TM Global 100:

  • Your wallet still exists (it's on-chain, independent of Token Metrics)
  • Your holdings remain accessible (you can view balances on blockchain explorers)
  • You can transfer funds (to any wallet/exchange you choose)
  • You can continue holding (the tokens don't disappear)
  • You can't access automated rebalancing (that requires Token Metrics' smart contracts), but your capital is 100% safe and accessible.

This is the power of self-custody: no dependency on the service provider's solvency or operations.

Comparison to Custodial Crypto Indices

Token Metrics isn't the only crypto index provider. How does TM Global 100's self-custody compare to alternatives?

Custodial Index Providers

  • Typical Structure: Deposit funds to provider's platform. Provider holds crypto in their custody. You own "shares" or "units" representing claim on assets. Withdrawal requires provider approval and processing time.
  • Advantages: Familiar model for traditional finance users, May offer insurance (though rarely covers full balances), Simple tax reporting through provider.
  • Disadvantages: Counterparty risk, Provider failure means lost funds, Withdrawal restrictions, Can freeze accounts, Delay withdrawals, Regulatory risk, Government can seize provider’s assets, Transparency limits, Can't verify actual holdings on-chain, Censorship vulnerability, Can block your access unilaterally.

Self-Custodial Model

Funds remain in your self-custodial smart contract wallet. You maintain control via private authentication. Token Metrics provides strategy execution, not custody. Withdrawal is immediate—it's already your wallet.

  • Advantages: Zero counterparty risk, No withdrawal restrictions, Move funds any time, Regulatory isolation, Transparent on-chain holdings, Censorship resistance.
  • Tradeoffs: User responsibility for wallet management, No traditional insurance, You handle tax reporting, Logs are provided.

For investors who understand crypto's core value—financial sovereignty—the self-custodial model is strictly superior. Custodial convenience isn't worth systemic risk.

Trustless by Design

Token Metrics established itself as the premier crypto analytics platform by providing exceptional research to 50,000+ users—building trust through performance, not promises. But with TM Global 100, Token Metrics deliberately designed a system where trust is unnecessary.

Traditional Financial Services

"Trust us to handle your money responsibly. We have reputation, insurance, and regulatory oversight."

Crypto's Original Vision

"Don't trust, verify. Use cryptographic proof and transparent blockchains to eliminate need for trust."

TM Global 100

"We provide excellent research and systematic execution. But you don't need to trust us with custody—verify your holdings on-chain, control your keys, withdraw anytime."

This philosophy aligns with crypto's foundational principles while delivering institutional-grade sophistication.

How Token Metrics Makes Money Without Custody

Traditional indices profit by holding client assets and taking fees. Token Metrics profits differently: Platform Fee: Annual percentage (1.5-2.0%) charged from YOUR holdings in YOUR wallet. No custody required to collect fees—they're automatically deducted from the smart contract wallet based on holdings value. Not Revenue Sources for TM Global 100: Lending out client funds (we don't hold them), Interest on deposited cash (there is no deposit), Proprietary trading with client capital (we can't access it), Rehypothecation (impossible without custody). Token Metrics' business model works precisely because we DON'T hold funds. The platform fee compensates for research, development, and operations—without requiring custody or creating counterparty risk.

The Accountability Structure

Self-custody creates natural accountability:

  • Custodial Model: If provider performs poorly, changing is difficult (withdrawal delays, tax events, operational friction). Users stay with mediocre services out of inertia.
  • Self-Custodial Model: If TM Global 100 underperforms expectations, users can withdraw immediately with zero friction. Token Metrics must continuously earn business through performance, not trap users through custody. This alignment of incentives produces better outcomes. Token Metrics succeeds only if TM Global 100 delivers value—not if we successfully retain custody.

Security Without Custodial Risk

Self-custody doesn't mean "no security"—it means security without counterparty risk. Token Metrics implements multiple security layers:

  • Wallet Security: Multi-Factor Authentication, Encryption, Rate Limiting, Device Fingerprinting, Session Management.
  • Smart Contract Security: Audited Code, Immutable Logic, Permission Controls, Upgrade Mechanisms.
  • Operational Security: No Centralized Custody, Separation of Duties, Monitoring Systems, Incident Response.
  • Recovery Security: Social Recovery, Time-Locked Recovery, Guardian Options, No Single Point of Failure.

This comprehensive security operates without Token Metrics ever holding custody—proving security and sovereignty aren't mutually exclusive.

The Regulatory Advantage

Self-custody provides regulatory benefits beyond security:

  • Reduced Compliance Burden: Token Metrics doesn't need custodial licenses or maintain costly compliance infrastructure for holdings we don't control.
  • Jurisdictional Flexibility: Users can access TM Global 100 based on their local regulations without Token Metrics needing approval in every jurisdiction (though we maintain appropriate licensing for our services).
  • Asset Protection: Government actions against Token Metrics don't freeze user funds—they're already in user wallets.
  • Portability: Regulatory changes in one region don't trap users—they control their funds and can move them freely.

As crypto regulations evolve globally, self-custodial models will likely face less restrictive treatment than custodial alternatives—another reason Token Metrics chose this architecture.

Decision Framework: Custodial vs. Self-Custodial Indices

  • Choose self-custodial indices (TM Global 100) if: You value financial sovereignty, censorship resistance, want on-chain verification, eliminate counterparty risk, are comfortable with wallet authentication, and desire instant withdrawal.
  • Consider custodial alternatives if: You prefer traditional finance models, want FDIC-style insurance (though limited), need institutional custody for compliance, are uncomfortable managing wallets, or prioritize traditional tax reporting.

For most crypto investors—especially those who understand why Bitcoin was created—self-custody is non-negotiable. TM Global 100 delivers sophisticated index strategies without compromising this core principle.

Conclusion: Trust Through Verification, Not Promises

The crypto industry has taught expensive lessons about custodial risk. Billions in user funds have vanished through exchange collapses, lending platform failures, and outright fraud. Each disaster reinforced crypto's founding principle: financial sovereignty requires self-custody.

Token Metrics built TM Global 100 to honor this principle. The index provides systematic diversification, weekly rebalancing, regime-based risk management, and institutional-grade execution—all while you maintain complete control of your funds. Token Metrics can't access your crypto, not because we promise not to, but because the smart contract architecture makes it impossible.

This isn't about not trusting Token Metrics. It's about not needing to trust Token Metrics—or anyone else—with custody of your capital. That's how crypto is supposed to work. You verify holdings on-chain. You control withdrawals. You authorize transactions. Token Metrics provides research, signals, and systematic execution. But your crypto stays yours.

As crypto matures, self-custodial infrastructure will become standard—not because it's idealistic, but because custodial alternatives have failed too many times, too catastrophically. Token Metrics is simply ahead of the curve. Not your keys, not your crypto. TM Global 100: your keys, your crypto.

Research

From Research to Execution: Turning Token Metrics Insights Into Trades

Token Metrics Team
8
MIN

You've spent 30 minutes analyzing Token Metrics' AI-powered ratings. VIRTUAL shows 89/100, RENDER at 82/100, JUP at 78/100. The market regime indicator flashes bullish. Your portfolio optimization tool suggests increasing exposure to AI and DePIN sectors. The research is clear: these tokens offer compelling risk-adjusted opportunities.

Then reality hits. You need to: calculate position sizes, open exchanges where these tokens trade, execute eight separate buy orders, track cost basis for each, set rebalancing reminders, monitor for exit signals, and repeat this process as ratings update weekly. Two hours later, you've bought two tokens and added "finish portfolio construction" to your weekend to-do list.

This is the execution gap—the chasm between knowing what to do and actually doing it. Token Metrics surveyed 5,200 subscribers in 2024: 78% reported "not fully implementing" their research-based strategies, with "time constraints" (42%), "operational complexity" (31%), and "decision fatigue" (19%) as primary barriers. The platform delivers world-class crypto intelligence to 50,000+ users, but turning insights into positions remained frustratingly manual—until TM Global 100 closed the loop.

The Research Excellence Problem

Token Metrics established itself as the premier crypto analytics platform through comprehensive, data-driven analysis. The platform provides:

  • AI-Powered Token Ratings: Token Metrics analyzes 6,000+ cryptocurrencies using machine learning models trained on:
    • Technical indicators: Price momentum, volume patterns, trend strength
    • Fundamental metrics: Developer activity, protocol revenue, tokenomics
    • On-chain data: Holder distribution, exchange flows, network growth
    • Market structure: Liquidity analysis, derivatives positioning
    • Sentiment analysis: Social trends, news sentiment, community engagement
  • Each token receives grades from 0-100 across multiple categories: Trader Grade, Investor Grade, Overall Grade, Risk Score.

The power: In Q3 2024, tokens rated 80+ outperformed the market by 47% on average over the following quarter. The research identifies opportunities with statistical edge.

The problem: Knowing VIRTUAL scores 89/100 doesn't automatically put it in your portfolio.

Market Regime Signals

Token Metrics' regime detection analyzes multi-factor conditions to classify market environments as bullish, bearish, or neutral. These signals inform portfolio positioning—should you be risk-on (full crypto exposure) or risk-off (defensive/stablecoins)?

Historical accuracy: Token Metrics' regime signals showed 68-72% directional accuracy over 4-8 week periods across 2022-2024, helping subscribers avoid the worst of bear market drawdowns.

The problem: When the signal flips bearish, you need to manually exit dozens of positions. Most subscribers acknowledged the signal but procrastinated execution—often until too late.

Trading Signals

Beyond broad regime indicators, Token Metrics provides specific entry/exit signals for individual tokens based on technical and fundamental triggers.

Example signals (October 2024):

  • SOL: "Strong buy" at $148 (reached $185 within 6 weeks)
  • RENDER: "Buy accumulation" at $5.20 (reached $7.80 within 8 weeks)
  • LINK: "Take partial profits" at $15.50 (consolidated to $12.20 over 4 weeks)

The problem: By the time you see the signal, research supporting rationale, decide position size, and execute—the entry has moved or the window closed.

Portfolio Optimization

Token Metrics' portfolio tools suggest optimal allocations based on your risk tolerance, time horizon, and conviction levels. They show which tokens to overweight, which to trim, and what overall exposure makes sense.

The insight: "Your portfolio is 45% BTC, 30% ETH, 25% alts. Optimal allocation for your risk profile: 35% BTC, 25% ETH, 40% high-rated alts with 5% in AI agents, 8% DePIN, 12% DeFi, 15% layer-1s."

The problem: Implementing these recommendations requires many trades, rebalancing calculations, tracking new cost basis, and ongoing maintenance.

The Execution Gap: Where Good Research Dies

Token Metrics' internal analysis revealed a striking pattern: subscribers using premium research features showed significantly better token selection (measured by ratings of holdings) but only marginally better performance than casual users. The bottleneck wasn't research quality—it was implementation.

Five Common Execution Failures

  1. Analysis Paralysis: "I spent three hours reviewing ratings and signals. Then I couldn't decide which tokens to prioritize, what position sizes to use, or when exactly to execute. I ended up doing nothing." The paradox: More information should enable better decisions. Instead, comprehensive research sometimes creates decision overload. With 50+ tokens rated 70+, which 10-15 do you actually buy?
  2. Implementation Friction: Even after deciding, execution proves tedious: Check which exchanges list each token, calculate position sizes maintaining diversification, execute orders across platforms, pay fees, track entry prices, set up monitoring. Most subscribers gave up after 3-5 tokens, leaving portfolios partially implemented and suboptimal.
  3. Timing Delays: Research with delayed execution captures a fraction of potential returns. For example, signals issued on Monday may be acted upon days later, missing ideal entry points and moves.
  4. Inconsistent Rebalancing: Monthly rebalancing optimizes portfolios but is operationally burdensome. Many subscribers rebalanced quarterly or less often, causing drift from optimal allocations.
  5. Emotional Override: When market signals turn bearish, the instinct to hold or doubt the research sometimes overrides systematic execution, leading to subpar outcomes.

The Missing Infrastructure: Automatic Implementation

Token Metrics recognized these patterns and asked: What if research insights automatically became portfolio positions? What if ratings updates triggered systematic rebalancing? What if regime signals executed defensive positioning without user decision-making? This led to TM Global 100 Index—Token Metrics' execution layer that converts research into action.

How TM Global 100 Implements Token Metrics Research

Research Input #1: Market Cap Rankings + Quality Screening

Token Metrics maintains data on 6,000+ tokens. TM Global 100 systematically holds the top 100 by market cap—correlating strongly with high-rated tokens (85%+ of top-100 score 60+).

Execution: Weekly rebalancing automatically updates holdings to current top-100, ensuring your portfolio aligns with market leaders.

Research Input #2: Market Regime Signals

When signals indicate bullish conditions, TM Global 100 holds the top-100 basket. When signals turn bearish, it shifts entirely to stablecoins. All transitions happen automatically, without manual intervention.

Research Input #3: Rebalancing Discipline

Weekly rebalancing is optimal for systematic profit-taking and reaccumulation. The index rebalances every Monday automatically, maintaining up-to-date weights without user effort.

Research Input #4: Diversification Principles

The index provides instant 100-token diversification through a single purchase, making broad exposure achievable in seconds compared to manual management.

Real Subscriber Stories: Before and After

Case Study 1: The Overwhelmed Analyst

Background: 29-year-old analyst since 2022, managing 25 tokens manually, spending 6-8 hours weekly. Missed opportunities due to operational hurdles. After TM Global 100 (2024): Portfolio automatically holds 100 tokens, rebalances weekly, with returns improving from +23% to +38%, and no missed opportunities.

Quote: "TM Global 100 turns every insight into an automatic position. Finally, my returns match the research quality."

Case Study 2: The Signal Ignorer

Background: 45-year-old focused on high conviction, ignoring regime signals. After TM Global 100 (2024): Systematic rebalancing and regime-based allocations improved risk management, with +42% return on the index. Quote: "Automation removed the psychological barrier. The research was always good; I was the broken execution layer."

Case Study 3: The Time-Strapped Professional

Background: 36-year-old limited time, holding just BTC and ETH. After TM Global 100 (2024): Automatic weekly rebalancing and comprehensive exposure increased returns from +18% to +41%. Quote: "Finally, research became ROI—no more operational burden."

The Feedback Loop: How TM Global 100 Improves Token Metrics Research

The system works bidirectionally. User data helps refine research by revealing which signals and features produce the best risk-adjusted results, and what visualization tools reduce operational hurdles. This cycle benefits all users through continuous improvement.

The Broader Execution Suite (Beyond TM Global 100)

Token Metrics is developing sector-specific indices, risk-stratified portfolios, and a portfolio sync tool to suit different strategies and risk levels. The goal is to provide flexible, automated solutions aligned with diverse user preferences.

Manual Implementation Guide (for those who prefer it)

For active managers, a structured weekly workflow can help bridge research and execution:

  1. Review market regime and weekly commentary (20 min)
  2. Assess ratings for holdings and potential entries (30 min)
  3. Execute trades, update records (15 min)
  4. Review portfolio and prepare next steps (15-25 min)

This approach balances active management with leveraging Token Metrics’ insights, reducing operational burden while maintaining control.

Cost-Benefit Analysis: Subscription + Index vs. Subscription Alone

Combining Token Metrics subscription with TM Global 100 can maximize value—automatic rebalancing, market regime adaptation, and broad diversification—delivering a streamlined, cost-effective way to implement research.

Conclusion: Close the Loop

Token Metrics offers exceptional AI-driven crypto analysis, market regime signals, and portfolio tools. However, transforming insights into actual positions is often where many miss out. TM Global 100 automates this process—turning research into systematic action, immediate risk management, and continuous portfolio renewal.

For subscribers frustrated with manual implementation or seeking a more systematic approach, TM Global 100 is the evolution from analysis platform to comprehensive investment solution. Great research deserves great execution—now it has it.

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Announcements

Token Metrics Crypto API and Windsurf Integration: Unlock Hidden Crypto Signals for Smarter Trading

Token Metrics Team
8 min
MIN

In today’s crypto market, raw data isn’t enough. Speed isn’t enough. What you need is insight.

That’s why we’re excited to unveil a game-changing integration: Token Metrics Crypto API now powers an ultra-fast, AI-driven crypto analytics platform—supercharged by Windsurf Coding Agent automation. This isn’t just another crypto dashboard. It’s a real-time intelligence engine designed for traders, funds, and crypto builders who demand an edge.

The Problem with Most Crypto Dashboards

Most crypto dashboards simply pull price data and display it. But serious traders know that price alone doesn’t tell the full story. You need context. You need predictive signals. You need advanced analytics that go beyond surface-level charts.

The Token Metrics Crypto API changes that.

By combining cutting-edge AI models with deep on-chain and market data, the Token Metrics API delivers the kind of actionable intelligence that traditional platforms can’t match.

The Power of Token Metrics API

At the heart of this new platform lies the Token Metrics API — widely regarded by traders and funds as the best crypto API available today.

Here’s why:

✅ Real-Time AI Insights

The Token Metrics API delivers real-time valuations, grades, risk metrics, and momentum signals—powered by sophisticated AI and machine learning models analyzing thousands of crypto assets.

✅ Predictive Token Ratings

Leverage Investor Grade and Trader Grade rankings to see which tokens are gaining momentum — before the market fully reacts.

✅ Quant Metrics & Risk Analysis

Access volatility scores, Sharpe ratios, value-at-risk metrics, and drawdown analysis to manage risk with precision.

✅ Clustering & Sentiment Analysis

Identify hidden relationships between tokens using real-time clustering and on-chain sentiment analysis.

✅ Full Market Coverage

Whether you trade altcoins, L1 ecosystems, DeFi, or memecoins — the Token Metrics Crypto API covers thousands of assets across multiple chains.

This depth of data allows the platform to do far more than just monitor prices — it discovers patterns, clusters, momentum shifts, and early market signals in real-time.

How Windsurf Coding Agent Unlocks New Possibilities

To build a truly responsive and adaptive crypto intelligence platform, we leveraged Windsurf Coding Agent automation. Windsurf allows us to ship new dashboards, signals, and features in hours—not weeks.

As crypto markets evolve rapidly, speed to insight becomes critical. With Windsurf’s agent-driven automation, we can prototype, iterate, and deploy new AI models and data visualizations faster than any traditional development cycle allows.

  • 🔄 New momentum indicators can be developed overnight
  • 🔄 Cluster algorithms can be recalibrated instantly
  • 🔄 Dashboards respond live to market shifts

This makes the entire system fluid, adaptive, and always tuned to the latest market behavior.

Not Just Another Dashboard — A Real-Time AI Engine

This isn’t your average crypto dashboard.

Every data point is analyzed, filtered, and rendered within milliseconds. As soon as the Token Metrics API delivers updated data, the platform processes it through real-time clustering, momentum scoring, and risk analysis.

The result? A blazingly fast, AI-powered crypto dashboard that gives you insights while your competition is still refreshing price feeds.

Platform Highlights:

  • Real-Time Market Trends:
    See market shifts as they happen, not minutes later.

  • Hidden Cluster Discovery:
    Identify which tokens are moving together before major narratives emerge.

  • Smart Momentum Signals:
    Detect early breakout signals across DeFi, AI, RWA, Memes, and other sectors.

  • Token Ratings & Sentiment:
    Get automated Investor Grades, Trader Grades, and community sentiment scoring.

  • Built-in AI Analysis Engine:
    Summary insights are auto-generated by AI to make complex data immediately actionable.

Turning Complexity Into Clarity

Crypto markets generate overwhelming amounts of data — price swings, liquidity changes, on-chain flows, funding rates, sentiment shifts, and more.

The Token Metrics + Windsurf integration filters that noise into clear, actionable signals. Whether you’re:

  • A crypto fund manager seeking alpha
  • An algorithmic trader hunting momentum
  • A community builder wanting to inform your Discord or Telegram group
  • A developer creating your own crypto trading bots or dashboards

... this platform turns complexity into clarity.

The signal is out there. We help you find it.

Why Token Metrics API is the Best Crypto API for Builders

When evaluating crypto APIs, most traders and developers face the same issues: incomplete data, poor documentation, limited endpoints, or stale updates. The Token Metrics API stands apart as the best crypto API for several key reasons:

1️⃣ Comprehensive Data Coverage

The Token Metrics API covers over 6,000 crypto assets across major chains, sectors, and narratives.

2️⃣ AI-Driven Metrics

Unlike other crypto APIs that only provide raw market data, Token Metrics delivers pre-calculated AI insights including:

  • Trader & Investor Grades
  • Bullish/Bearish Signals
  • Quantitative Rsk Metrics
  • Sentiment Scores
  • Support & Resistance Levels

3️⃣ Developer Friendly

The API is fully documented, REST-based, and easily integrates with platforms like Windsurf, Zapier, and custom trading systems.

4️⃣ Instant Updates

Data is refreshed continuously to ensure you’re always working with the latest available insights.

This makes the Token Metrics crypto API ideal for:

  • Building automated trading agents
  • Developing AI-powered dashboards
  • Running quant research pipelines
  • Powering Discord/Telegram trading bots
  • Creating crypto advisory tools for funds or DAOs

Example Use Case: Proactive Cluster Monitoring

Imagine this:

You’re managing a portfolio with exposure to several DeFi tokens. The platform detects that several mid-cap DeFi projects are clustering together with rising momentum scores and improving Investor Grades. Within seconds, your dashboard flashes an early “sector breakout” signal.

By the time social media narratives catch on hours or days later — you’re already positioned.

This is the edge that real-time AI-driven analytics delivers.

What You Can Build With Token Metrics API + Windsurf

The possibilities are nearly endless:

  • Fully autonomous AI trading agents
  • Real-time risk management dashboards
  • Community-facing Discord or Telegram bots
  • Investor-grade weekly market reports
  • Live streaming momentum monitors
  • Institutional quant analysis tools

And because Windsurf Coding Agent automates development, these solutions can evolve rapidly as new narratives, tokens, and market behaviors emerge.

Start Building Your Edge Today

If you’re serious about staying ahead in crypto, you need more than just prices—you need intelligence.

The combination of Token Metrics API and Windsurf’s automation delivers the fastest, smartest way to build your own crypto intelligence systems.

➤ Sign up for Token Metrics

➤ Get API access

➤ Start building with Windsurf

Turn data into insights. Turn insights into profits.

Click here to view the demo!

Conclusion: The Future of Crypto Analytics Is Here

The days of static dashboards and delayed signals are over. The future belongs to platforms that deliver real-time, AI-powered, adaptive crypto intelligence.

With Token Metrics Crypto API and Windsurf Coding Agent, you have the tools to build that future—today.

Announcements

Build AI-Powered Crypto Trading Bots in Minutes: Token Metrics Partners with Cline for Seamless Crypto API Integration

Token Metrics Team
8 min
MIN

Combine the Best Crypto API with Cline’s AI Coding Environment to Automate Smarter Trades—Faster

The world of crypto development just leveled up.

We're excited to announce a powerful new integration between Token Metrics and Cline (via the Roo Code extension)—bringing together the most advanced crypto API on the market and an AI-native coding environment purpose-built for building and testing crypto trading bots.

This partnership unlocks the ability to rapidly prototype, test, and launch intelligent trading strategies using real-time data from Token Metrics directly inside Cline, making it easier than ever for developers and traders to build in the crypto economy.

In this post, we’ll show you exactly how this works, walk through a working example using the Hyperliquid token, and explain why Token Metrics is the best crypto API to use with Cline for next-gen trading automation.

What Is Cline (Roo Code)?

Cline is an AI-first coding assistant designed to turn ideas into code through conversational prompts. With the Roo Code extension in Visual Studio Code, Cline transforms your IDE into an AI-native environment, allowing you to:

  • Write and debug code using natural language
  • Chain tools and APIs together with zero setup
  • Backtest and optimize strategies within a single flow

By integrating Token Metrics’ cryptocurrency API through its MCP (Multi-Client Protocol) server, developers can access real-time grades, trading signals, quant metrics, and risk insights—all through AI-driven prompts.

This combo of live crypto data and AI-native coding makes Cline one of the fastest ways to build trading bots today.

What Is Token Metrics MCP & API?

The Token Metrics API is the ultimate toolkit for crypto developers. It's a high-performance, developer-focused crypto API that gives you:

  • AI-powered Trader & Investor Grades
  • Buy/Sell Signals for bull/bear market detection
  • Support & Resistance Levels
  • Sentiment Analysis
  • Quantitative Metrics including ROI, performance vs. BTC, and more
  • Full Token Reports & Rankings

These features are now accessible via the MCP server—a gateway that standardizes access to Token Metrics data for AI agents, bots, dashboards, and more.

Whether you’re building a Telegram bot, a trading terminal, or a portfolio optimizer, the Token Metrics MCP setup with Cline makes it seamless.

Step-by-Step: Build a Trading Bot in Cline Using Token Metrics

Here’s a walkthrough of how you can build a complete AI-powered trading bot using Cline and the Token Metrics API.

1. Set Up Your Project in Visual Studio Code

Open VS Code and click “Open Folder.” Name your project something fun—like “Hype Bot.”
Then go to the Extensions tab, search for “Roo Code” (the advanced version of Cline), and install it.

2. Connect to the Token Metrics MCP Server

Once installed:

  • Click the MCP icon in the sidebar.
  • Choose “Edit Global MCP.”
  • Visit the official Token Metrics MCP Instructions and copy the full configuration block.
  • Paste it into your global MCP settings in Cline.

🎉 Now your environment is live, and you’re connected to the best crypto API on the market.

3. Explore the API with a Prompt

Inside Cline, simply prompt:

“Explore the Token Metrics API and analyze the Hyperliquid token.”

In seconds, the agent fetches and returns detailed insights—including investor grade, sentiment shifts, trading volume, and support/resistance levels for Hyperliquid. It even detects patterns not visible on typical trading platforms.

4. Generate a Trading Strategy

Next prompt:

“Create a trading strategy using this data.”

The agent responds with a full Python trading script based on AI signals from the API—complete with buy/sell logic, thresholds, and data pipelines.

5. Run Backtests and Analyze Performance

Cline automatically generates a backtest file and plots a performance chart.

For example:

  • Portfolio grew from $10,000 to $10,600
  • 27 trades, with an 18.5% win rate
  • Maximum drawdown of 14%
  • Realistic insights into risk-adjusted returns

This is real-time data, real code, real results—all built through a few smart prompts.

Why This Partnership Matters

🔗 Natural-Language-Powered Crypto Development

No more hours spent reading docs or integrating messy SDKs. With Cline + Token Metrics, you talk to your agent, and it builds the bot, fetches the data, and runs the strategy.

⚙️ Best-in-Class Crypto Market Intelligence

Token Metrics provides professional-grade market signals used by hedge funds, traders, and analysts. With 80+ metrics per token, it’s the most detailed cryptocurrency API available—now accessible to indie devs and builders via Cline.

⚡ Build, Test, Iterate—Fast

Backtesting, strategy generation, and data access happen within seconds. This drastically cuts time-to-market for MVPs, AI assistants, and algo bots.

Use Cases You Can Build

  • Hype Token Trading Bots – Surf emerging narratives like Memecoins, RWA, or AI.
  • Risk-Managed Portfolios – Adjust exposure based on grades and market phases.
  • Discord/Telegram Bots – Stream top-performing tokens with real-time buy alerts.
  • CEX/DEX Strategy Automation – Monitor performance across centralized and decentralized exchanges.
  • Quant Research Dashboards – Power internal tools with Token Metrics data for investment committees or research teams.

Why Token Metrics Is the Best Crypto API for Cline Developers

  • Built for AI Workflows – Easy to use via prompts, structured for agent consumption.
  • Real-Time Coverage – Stay updated on narrative-driven tokens before they pump.
  • Secure & Scalable – Use API keys, MCP servers, and secure backtest environments.
  • Free to Start – Includes 5,000 free API calls so you can build before committing.

Final Thoughts

The future of building in crypto is agent-driven, data-rich, and fast.

This integration between Token Metrics and Cline proves that with the right tools, anyone can turn an idea into a trading bot in under 10 minutes—using real-time market data, AI-grade analysis, and seamless backtesting in one workflow.

No manual coding. No noise. Just results.

Start building smarter bots today:
👉 Get your API Key on Token Metrics
👉 Install Roo Code and connect Cline

Watch demo here!

Let’s build the next generation of crypto trading together.

Announcements

Transforming Crypto AI Trading: Token Metrics Crypto API Now Integrates Seamlessly with Cursor AI

Token Metrics Team
8 min
MIN

AI is transforming the future of AI crypto trading—and with the integration of Token Metrics Crypto API and Cursor AI, we’re taking another giant leap forward.

This integration unlocks the ability for developers, quants, and crypto-native builders to create powerful trading agents using natural language, real-time crypto market data, and automation—all through a single interface.

Whether you're building an AI agent that monitors market trends, provides trading signals, or develops actionable investment plans, the combination of Token Metrics' cryptocurrency API and Cursor AI’s intelligent prompt interface is the future of how crypto strategies are built and executed.

In this blog, we’ll walk you through the integration, show you what’s possible, and explain why this is the most developer-friendly and data-rich crypto API available today.

What Is the Token Metrics Crypto API?

The Token Metrics API is a developer-grade crypto API that delivers over 80 advanced signals and data points per token. It covers:

  • AI Trader Grades & Investor Grades
  • Buy/Sell Signals based on bull/bear market trends
  • Support & Resistance levels
  • Sentiment Analysis
  • Quantitative Metrics & ROI Data
  • Project Reports & Risk Ratings

With deep market insight and predictive analytics, it’s built for developers looking to power anything from crypto dashboards to automated trading agents, telegram bots, or custom portfolio apps.

Now, with the Cursor AI integration, all of this power is just one conversation away.

What Is Cursor AI?

Cursor AI is an advanced AI development environment where agents can write code, test ideas, and build applications based on natural language prompts. With support for live API integrations and tool chaining, it’s the perfect platform to build and deploy intelligent agents—without switching tabs or writing boilerplate code.

Now, developers can query live cryptocurrency API data from Token Metrics using natural language—and let the agent create insights, strategies, and trading logic on the fly.

What You Can Build: Real Example

Let’s walk through what building with Token Metrics on Cursor AI looks like.

Step 1: Prompt the Agent

It starts with a simple prompt:
“What are the tools you have for Token Metrics MCP?”

In seconds, the agent replies with the full toolkit available via Token Metrics Multi-Client Protocol (MCP), including:

  • Access to trader and investor grades
  • Market analysis and real-time predictions
  • Quantitative metrics and token reports
  • AI-driven sentiment and momentum scores

Step 2: Ask for a Use Case

Next, you say:
“Give me a trading agent idea using those tools.”

The agent responds by combining crypto API tools into an actionable concept—for instance, a trading assistant that monitors bull flips on high-ROI tokens, cross-checks sentiment, and then alerts you when investor and trader grades align.

Step 3: Build a Plan Using Live Data

Then you prompt again:
“Can you explore the tools and create a comprehensive plan for me?”

Here’s the magic: the agent pulls real-time data directly from the Token Metrics API, analyzes signals, ranks tokens, identifies top performers, and builds a structured trading plan with entry/exit logic.

No manual research. No spreadsheet wrangling.
Just clean, fast, and intelligent crypto trading strategy—generated by AI using the best crypto API on the market.

Why This Changes Everything

🔗 Unified AI & Data Stack

With Token Metrics + Cursor AI, developers can interact with crypto data using plain English. There’s no more need to juggle raw JSON files or multiple APIs. One schema, one key, full access.

⚡ Real-Time, Actionable Insights

Cursor agents can now fetch live signals and respond instantly, allowing you to create agents that trade, monitor, alert, and adapt based on changing market conditions.

🤖 Build AI Trading Agents in Minutes

From backtesting tools to investment advisors to portfolio rebalancers, the combined power of a smart agent and a smart API turns hours of coding into a few well-written prompts.

Why Token Metrics API Is the Best Crypto API for AI Agents

  • Built for Speed – Fast response times and optimized endpoints for seamless agent-to-agent communication.
  • AI-Ready Structure – The API was designed with machine learning and automated trading in mind.
  • Massive Coverage – Thousands of tokens, over 80+ data points per asset.
  • MCP Gateway – Unified interface for all AI tools to access one consistent schema.
  • Free Tier – Get started with 5,000 free API calls at Token Metrics.

Whether you're building your first crypto trading bot or an enterprise-grade RAG assistant, this integration unlocks full creative and technical freedom.

Final Thoughts

This is just the beginning.

By connecting the Token Metrics API with Cursor AI, we’re moving toward a future where crypto tools are built by conversation, not code. It's not just about faster development—it’s about smarter, more adaptive trading tools that are accessible to everyone.

So go ahead.
Open up Cursor AI.
Type your first prompt.
And start building with the most intelligent crypto API in the game.

👉 Explore the Token Metrics API

👉 Start Building with Cursor AI

Watch Demo here!

Research

Top Crypto Trading Platforms in 2025

Token Metrics Team
10 min
MIN

Is the cryptocurrency market continues to mature, new technologies are emerging to give traders an edge. Among the most transformative is AI-powered crypto trading. From automating strategies to identifying hidden opportunities, AI is redefining how traders interact with digital assets.

In this guide, we’ll break down:

  • What is AI crypto trading?
  • What are the different types of cryptocurrency trading?
  • The top crypto trading exchanges and platforms, with Token Metrics as the leading AI crypto trading option.

What is AI Crypto Trading?

AI crypto trading refers to the use of artificial intelligence (AI), machine learning (ML), and data science techniques to make smarter, faster, and more informed trading decisions in the cryptocurrency markets.

These systems analyze vast datasets—price charts, market sentiment, technical indicators, social media trends, on-chain activity—to generate trading signals, price predictions, and portfolio strategies. The goal: remove emotion and bias from crypto trading and replace it with data-driven precision.

Some AI crypto trading tools offer:

  • Predictive analytics for token performance
  • Real-time trading signals based on pattern recognition
  • Automated execution of buy/sell orders based on predefined strategies
  • Portfolio optimization using volatility and correlation models
  • Sentiment analysis from Twitter, Reddit, and news feeds

AI is especially valuable in the 24/7 crypto markets, where human traders can’t keep up with constant volatility. With AI, traders can react instantly to market shifts and make decisions grounded in data—not gut feeling.

What Are the Types of Cryptocurrency Trading?

Understanding the major types of cryptocurrency trading is essential for choosing the right strategy—especially if you’re planning to use AI to assist or automate your trades.

1. Spot Trading

Spot trading is the simplest and most common form of crypto trading. You buy or sell a cryptocurrency at its current price, and the transaction settles immediately (or “on the spot”). Most traders begin here.

AI can assist by identifying ideal entry and exit points, evaluating token grades, and managing risk.

2. Futures Trading

Futures trading involves contracts that speculate on the future price of a cryptocurrency. Traders can go long or short, using leverage to amplify gains (and risks).

AI helps by identifying bullish or bearish trends, backtesting strategies, and automating trades with quantitative models that adapt to market changes.

3. Margin Trading

Margin trading allows users to borrow funds to increase their trade size. It’s risky but potentially more rewarding.

AI can reduce some of the risks by using real-time volatility data, calculating stop-loss levels, and dynamically adjusting positions.

4. Swing Trading

Swing traders hold positions for days or weeks, capturing short- to medium-term trends.

AI tools are ideal for swing trading, as they can combine technical indicators, market sentiment, and volume analysis to anticipate breakouts and reversals.

5. Day Trading

Day traders open and close positions within a single day, requiring rapid decision-making and constant monitoring.

Here, AI-powered bots can outperform humans by making thousands of micro-decisions per second, reducing slippage and emotional trading errors.

6. Algorithmic and Bot Trading

Algorithmic trading uses coded strategies to automate trades. AI takes this further by allowing the bot to learn and improve over time.

Token Metrics, for example, offers AI grades and indices that traders can plug into their own bots or use through the platform’s native AI strategies.

Top Cryptocurrency Trading Exchanges

When it comes to crypto trading platforms, there are two main categories:

  • Exchanges where you buy, sell, and hold crypto
  • Analytics platforms that help you decide what to trade and when

Below are some of the top cryptocurrency trading platforms in 2025—both exchanges and AI-powered tools—tailored to serious traders:

1. Token Metrics – The #1 AI Crypto Trading Platform

Token Metrics is not an exchange, but a crypto analytics and trading intelligence platform powered by AI. It offers:

  • Trader & Investor Grades (AI-powered scoring of tokens)
  • Bullish/Bearish Signals
  • Portfolio Strategies via AI Indices
  • Custom Alerts for price and grade movements
  • Data API for building AI trading bots

Token Metrics bridges the gap between raw data and actionable decisions. Whether you’re a beginner or a pro running algorithmic strategies, Token Metrics delivers the AI layer needed to outperform the market.

Traders use Token Metrics alongside centralized exchanges (like Binance or Coinbase) or DEXs to validate trades, identify top-performing narratives, and automate entry/exit based on AI signals.

2. Binance

Binance is the largest crypto exchange by volume, offering thousands of trading pairs, margin, and futures trading. While it doesn’t offer native AI tools, many traders integrate Binance with AI bots using their API.

Use Token Metrics + Binance together for AI-informed execution on a high-liquidity exchange.

3. Coinbase

Coinbase is ideal for retail investors and new traders. While it lacks advanced AI features, it’s a trusted fiat gateway.

Advanced users can subscribe to Coinbase Advanced or integrate with tools like Token Metrics to make smarter trading decisions.

4. Bybit

Bybit offers both spot and derivatives, plus social trading tools like copy trading. It’s popular with swing and leverage traders.

Combine Bybit with Token Metrics for AI-driven entry points on high-volatility setups.

5. Kraken

Kraken is known for strong security and a transparent track record. It supports spot, margin, and futures trading.

When paired with AI tools, Kraken becomes a secure execution venue for data-driven strategies.

6. OKX

OKX offers robust bot features, including grid trading and DCA bots. For users who prefer built-in automation, OKX is a solid option.

Still, Token Metrics outperforms on signal generation, narrative tracking, and AI-backed token scoring—making it an ideal data source for OKX bots.

Why AI is the Future of Crypto Trading

As cryptocurrency trading evolves, manual strategies alone can’t keep up. Market cycles are faster, token launches are more frequent, and volatility is constant. This is where crypto AI trading shines.

Here’s why more traders are adopting AI:

  • Speed: AI analyzes and reacts faster than any human
  • Scale: It can monitor 1,000s of tokens across multiple chains simultaneously
  • Emotionless: AI doesn’t panic-sell or FOMO-buy
  • Backtested: Strategies are tested on historical data for statistical confidence
  • Adaptive: AI learns and improves over time based on market behavior

Platforms like Token Metrics make this technology accessible—offering plug-and-play AI indices, custom signals, and portfolio intelligence for retail traders, funds, and institutions alike.

Final Thoughts

Cryptocurrency trading is becoming more competitive, data-driven, and automated. With the rise of crypto AI trading, traders now have the tools to gain a true edge—whether they’re investing $100 or managing $1M.

If you’re serious about crypto trading in 2025, don’t just guess—trade with data, trade with AI.

Explore how Token Metrics can power your portfolio with AI-generated insights, real-time signals, and next-generation trading tools.

Announcements

🚀 Token Metrics API Goes Live on Hacker News – The AI Crypto Toolkit for Builders

Token Metrics Team
5 min
MIN

The Token Metrics API has officially launched on Hacker News, marking a major milestone in our mission to bring AI-powered crypto insights to every developer, founder, and builder in the Web3 space.

If you're building trading bots, dashboards, investment tools, or AI agents that interact with the crypto market, this is your developer edge in 2025. Forget raw feeds and static charts—this is real-time, AI-grade crypto intelligence available in minutes via a single API key.

What Is the Token Metrics API?

The Token Metrics API is a powerful crypto intelligence engine built for developers who want more than just price data. It combines machine learning, quantitative modeling, and narrative indexing to deliver structured signals that help users make smarter trading decisions.

Instead of simply showing what the market did, the API helps predict what it might do—with insights like:

  • Trader & Investor Grades (0–100 scores on momentum and fundamentals)
  • Bullish/Bearish Signals across 6,000+ assets
  • Narrative-based Indices like DeFi, AI, Memes, RWAs, and more
  • Quantitative Risk Scores and sentiment analysis
  • Real-time updates, no lag, no stale metrics

It’s like giving your crypto bot a brain—and not just any brain, an AI-trained crypto analyst that never sleeps.

Why It’s Different from Every Other Crypto API

Most APIs give you prices, volume, and maybe some on-chain data. Token Metrics gives you opinionated intelligence derived from over 80 on-chain, off-chain, technical, and sentiment indicators.

That means:

  • Your dashboard users get real-time grades and trending tokens.
  • Your AI agent can speak fluently about token fundamentals.
  • Your bot can act on bullish flips before the rest of the market.

We’ve designed this API for modularity and plug-and-play usability. With 21+ endpoints and official SDKs, you can ship faster and smarter—no custom pipeline needed.

What Can You Build?

Whether you're a solo developer or building inside a Web3 team, the possibilities are wide open.

Build smarter with Token Metrics if you’re creating:

  • 🧠 AI trading agents that query real-time token grades
  • 📊 Investor dashboards that surface top-rated altcoins
  • 📈 DApps that alert users to sector momentum shifts
  • 📱 Mobile apps with embedded market signals
  • 🧪 Backtesting systems for narrative-based portfolio strategies

Because the API supports OpenAI, Claude, Cursor, and Raycast integrations, your agents and LLM-powered tools can query live crypto intelligence in natural language—no additional parsing required.

Why the Hacker News Feature Matters

Token Metrics API just made it to the front page of Hacker News, one of the internet’s most trusted platforms for discovering high-impact developer tools.

This means:

  • 💬 A community of builders and engineers is already testing the API
  • 🧪 Feedback is pouring in, helping us evolve faster
  • 🚀 Your early adoption puts you ahead of the curve

If you’ve been waiting for the right time to integrate AI-native crypto signals into your product—this is it.

Get Started for Free

We’re offering 5,000 free API calls/month for every new developer.

Sign up, plug in your key, and build:

  • With one consistent schema
  • Across multiple clients
  • Without chasing multiple API docs

Your users don’t just want raw data anymore—they want insights. Token Metrics delivers those insights in real time, with zero guesswork.

Join the Developer Revolution

💥 Explore the API – Get your key in 30 seconds
💬 Join the Hacker News discussion – See what other devs are saying
📚 Browse Docs – View full endpoints and SDKs

One API. One schema. Smarter crypto apps.
The future of crypto building is AI-powered—and it starts here.

Research

Bullish or Bearish? Interpreting AI Signals in Today’s Volatile Crypto Market

Token Metrics Team
5 min
MIN

Introduction

Crypto moves fast — and traders who can't read the signs get left behind. But in a market where emotions dominate, how do you distinguish between a real trend and a fakeout? That’s where AI-powered trading signals come in.

Token Metrics AI monitors over 6,000 tokens using 80+ data points, from technical momentum to on-chain activity and social sentiment. Its bullish and bearish signals aren’t just flashes of color — they’re actionable, data-driven insights that can guide decisions in chaotic markets.

In this post, we break down how to interpret bullish and bearish signals, what they’ve been saying recently, and how to react when market direction flips suddenly.

What Are Bullish and Bearish Signals?

Let’s start with the basics:

  • Bullish Signal (Green Dot): Indicates that a token is showing signs of an upward trend based on combined technical, sentiment, and on-chain analysis.
  • Bearish Signal (Red Dot): Suggests that a token is losing momentum, and price downside or stagnation is likely.

But these signals aren’t standalone — they come with contextual grades, like the Trader Grade, which ranks signal strength from 0 to 100. This allows you to not just know the direction, but the confidence behind it.

What Happened Recently? The May 30 Flip

On May 30, 2025, Token Metrics AI issued a broad bearish flip across much of the market. That included:

  • Ethereum
  • Bittensor
  • Launchcoin
  • Many Real World Asset and L2 tokens

The AI signal flipped red, and Trader Grades fell across the board. Why? Here's what the AI detected:

  • Slowing volume
  • Negative sentiment shift
  • Liquidity thinning on DEXs
  • On-chain accumulation stalling

This wasn’t panic-driven — it was a data-driven, proactive warning that the cycle had peaked. In a world where most traders rely on lagging indicators or Twitter sentiment, this was an edge.

How to Interpret a Bullish Signal

A bullish signal isn’t an instant “buy” — it's a call to investigate. Here's what to check when a green dot appears:

✅ 1. Trader Grade Above 80

This means high conviction. If it's between 60–79, the trend is forming, but may lack strength.

✅ 2. Volume Confirmation

Price up + volume up = good. Price up + volume flat = caution.

✅ 3. Narrative Alignment

If the token fits a hot theme (like RWAs or AI), that adds strength to the signal.

✅ 4. Recent Price Action

Did the signal appear after a breakout, or just before? Entry timing depends on whether you're catching the beginning or chasing the middle of the trend.

✅ 5. Compare to Peers

If 3–5 similar tokens are also turning bullish, that indicates sector-wide rotation — a better entry environment.

How to Interpret a Bearish Signal

Red doesn’t mean "dump immediately" — it means it's time to tighten your risk.

❗ 1. Trader Grade Below 50

This indicates deteriorating conviction — exit or reduce exposure.

❗ 2. Volume Divergence

If price is flat but volume is fading, that’s a warning of a potential breakdown.

❗ 3. Signal Timing

Did the bearish flip happen near local highs? That’s often the best exit point.

❗ 4. Check for Repeats

Was this the second red dot in a week? That could confirm a longer-term downtrend.

❗ 5. BTC/ETH Context

If Bitcoin or ETH also flip bearish, it may suggest macro pressure, not just token-specific weakness.

Real-Time Examples from the Webinar

During the June 5 Token Metrics webinar, we walked through examples of how these signals worked in real time:

🟢 Bullish (April) – Launchcoin

Strong signal, grade in the 80s. Resulted in a massive short-term run.

🔴 Bearish (May 30) – Ethereum

Signal turned red around $3,490. Traders who followed it avoided the 55% drawdown that followed.

🔴 Bearish (June) – Fartcoin

After a 700% run-up, the signal flipped bearish with a low Trader Grade of ~24. Result? A slow bleed lower as sentiment cooled.

What Makes AI Signals Different from Traditional TA?

Feature                                                    Token Metrics AI                     Traditional TA

Combines social + on-chain                    ✅                                       ❌

Updated in real time                                 ✅                                       ❌

Machine learning trained on past data   ✅                                       ❌

Outputs confidence grade                       ✅                                       ❌

Adapts to new narratives                         ✅                                       ❌

This isn’t about moving averages or MACD — it’s about combining the entire digital footprint of a token to anticipate what comes next.

How to React to a Signal Flip

What do you do when your favorite token suddenly flips from bullish to bearish?

  1. Reduce exposure immediately — even if you don’t sell everything, cut risk.
  2. Check the Grade — if it’s falling, momentum is likely over.
  3. Watch Peer Tokens — if similar projects are also turning red, it confirms sector rotation.
  4. Set New Alerts — if the signal flips back to green, be ready to re-enter.

Your job isn’t to predict the market. It’s to respond to what the data is saying.

How to Combine AI Signals with a Strategy

Here’s a basic framework:

Entry

  • Bullish signal + Trader Grade > 80 = enter with full size.
  • Grade 60–79 = enter small or wait for confirmation.

Exit

  • Bearish signal = scale out or exit.
  • Grade < 50 = no new positions unless for short trades.

Risk

  • Position size scales with grade.
  • Only trade tokens with high liquidity and volume confirmation.

This keeps your system simple, repeatable, and data-driven.

Conclusion

In volatile markets, conviction matters. Token Metrics AI doesn’t just point up or down — it tells you how strong the trend is, how likely it is to last, and when it’s time to pivot.

Don’t trade on emotions. Don’t chase hype. Use the signals — and trust the grade.

Because in a market that never sleeps, it pays to have an AI watching your back.

Research

Crypto Market Cools Off: What Is Token Metrics AI Saying Now

Token Metrics Team
5 min
MIN

Introduction

The euphoria of April and May in the crypto market has officially hit the brakes. While traders were riding high just weeks ago, the mood has shifted — and the data confirms it. Token Metrics’ proprietary AI signals flipped bearish on May 30, and since then, the market has been slowly but steadily declining.

In this post, we break down what’s happened since the bearish signal, how major altcoins and sectors are reacting, and what Token Metrics’ indicators are telling us about what might come next.

The Big Picture: Cooling Off After a Hot Q1 and Q2 Start

The platform’s AI signal turned bearish on May 30 when the total crypto market cap hit $3.34 trillion. Since then, the momentum that defined early 2025 has reversed.

This wasn’t a sudden crash — it’s a slow bleed. The signal shift didn’t come from headline-driven panic, but from data-level exhaustion: volume softening, sentiment stalling, and trend strength fading across most tokens.

Token Metrics AI recognized the shift — and issued the warning.

What the Bearish Signal Means

The AI model analyzes over 80 metrics across price, volume, sentiment, and on-chain data. When key trends across these data sets weaken, the system flips from bullish (green) to bearish (red).

On May 30:

  • Trader Grades across most tokens declined
  • Signal sentiment flipped bearish
  • Momentum and velocity cooled down

According to the model, these were signs of a broad de-risking cycle — not just isolated weakness.

Sectors Showing Declines

Even tokens that had been performing well throughout Q2 began to stall or roll over.

🚨 Launch Coin

Previously one of the top performers in April, Launch Coin saw its grades decrease and price action softened.It may even be rebranding — a typical signal that a project is pivoting after a hype cycle.

🏦 Real World Assets (RWAs)

RWAs were hot in March–May, but by early June, volume and signal quality had cooled off significantly.

🔐 ZK and L2s

Projects like Starknet and zkSync, once dominant in trader attention, have seen signal strength drop, with many now scoring below 70.

The cooling effect is broad, touching narratives, sectors, and high-performing individual tokens alike.

The Bull-Bear Indicator in Action

One of the key tools used by Token Metrics is the Bull vs. Bear Indicator, which aggregates bullish vs. bearish signals across all tokens tracked.

As of early June:

  • The percentage of tokens with bullish signals dropped to its lowest since January.
  • New projects launching with strong grades also saw a decline.
  • Even community-favorite tokens began receiving “exit” alerts.

This isn’t fear — it’s fatigue.

How Traders Are Reacting

During the webinar, we noted that many users who rely on Token Metrics signals began rotating into stables once the May 30 signal flipped. Others reduced leverage, paused entries, or shifted into defensive plays like ETH and BTC.

This reflects an important philosophy:

"When the data changes, we change our approach."

Instead of trying to fight the tape or chase rebounds, disciplined traders are using the bearish signal to protect gains and preserve capital.

What About Ethereum and Bitcoin?

Even ETH and BTC, the two bellwether assets, aren’t immune.

  • Ethereum: Lost momentum after a strong May push. Its Trader Grade is dropping, and the AI signals currently reflect neutral-to-bearish sentiment.
  • Bitcoin: While still holding structure better than altcoins, it has also declined since peaking above $72k. Volume weakening and sentiment falling suggest caution.

In previous cycles, ETH and BTC acted as shelters during altcoin corrections. But now, even the majors show weakness — another reason why the bearish flip matters.

What Could Reverse This?

Abdullah Sarwar, head of research at Token Metrics, mentioned that for the signals to flip back bullish, we would need to see:

  • Increased momentum across top tokens
  • New narratives (e.g., real-world utility, cross-chain demand)
  • Higher volume and liquidity inflows
  • Positive macro or ETF news

Until then, the system will remain in defensive mode — prioritizing safety over chasing trades.

How to Act During a Bearish Signal

The team offered several tips for traders during this cooling-off period:

  1. Reduce exposure
    Don’t hold full positions in assets with weak grades or bearish signals.

  2. Watch signal reversals
    Keep an eye on sudden bullish flips with high Trader Grades — they often mark trend reversals.

  3. Rebalance into safer assets
    BTC, ETH, or even stables allow you to sit on the sidelines while others take unnecessary risk.

  4. Use Token Metrics filters
    Use the platform to filter for:

    • Top tokens with >80 grades
    • Signals that flipped bullish in the last 3 days
    • Low market-cap tokens with strong on-chain activity

These tools help find exceptions in a weak market.

Conclusion: Bearish Doesn’t Mean Broken

Markets cycle — and AI sees it before headlines do.

Token Metrics' bearish signal wasn’t a call to panic. It was a calibrated, data-backed alert that the trend had shifted — and that it was time to switch from offense to defense.

If you’re navigating this new phase, listen to the data. Use the tools. And most importantly, avoid trading emotionally.

The bull market might return. When it does, Token Metrics AI will flip bullish again — and you’ll be ready.

Research

Backtesting Token Metrics AI: Can AI Grades Really Predict Altcoin Breakouts?

Token Metrics Team
5 min
MIN

To test the accuracy of Token Metrics' proprietary AI signals, we conducted a detailed six-month backtest across three different tokens — Fartcoin, Bittensor ($TAO), and Ethereum. Each represents a unique narrative: memecoins, AI infrastructure, and blue-chip Layer 1s. Our goal? To evaluate how well the AI’s bullish and bearish signals timed market trends and price action.

Fartcoin:

The green and red dots on the following Fartcoin price chart represent the bullish and bearish market signals, respectively. Since Nov 26, 2024, Token Metrics AI has given 4 trading signals for Fartcoin. Let’s analyze each signal separately.

The Fartcoin chart above displays green and red dots that mark bullish and bearish signals from the Token Metrics AI, respectively. Over the last six months — starting November 26, 2024 — our system produced four significant trade signals for Fartcoin. Let’s evaluate them one by one.

The first major signal was bullish on November 26, 2024, when Fartcoin was trading at $0.29. This signal preceded a massive run-up, with the price topping out at $2.49. That’s an astounding 758% gain — all captured within just under two months. It’s one of the most powerful validations of the AI model’s ability to anticipate momentum early.

Following that rally, a bearish signal was triggered on January 26, 2025, just before the market corrected. Fartcoin retraced sharply, plunging 74.76% from the highs. Traders who acted on this bearish alert could have avoided substantial drawdowns — or even profited through short-side exposure.

On March 25, 2025, the AI turned bullish again, as Fartcoin traded near $0.53. Over the next several weeks, the token surged to $1.58, a 198% rally. Again, the AI proved its ability to detect upward momentum early.

Most recently, on June 1, 2025, Token Metrics AI flipped bearish once again. The current Trader Grade of 24.34 reinforces this view. For now, the system warns of weakness in the memecoin market — a trend that appears to be playing out in real-time.

Across all four trades, the AI captured both the explosive upside and protected traders from steep corrections — a rare feat in the volatile world of meme tokens.

Bittensor

Next, we examine Bittensor, the native asset of the decentralized AI Layer 1 network. Over the last six months, Token Metrics AI produced five key signals — and the results were a mixed bag but still largely insightful.

In December 2024, the AI turned bearish around $510, which preceded a sharp decline to $314 by February — a 38.4% drawdown. This alert helped traders sidestep a brutal correction during a high-volatility period.

On February 21, 2025, the system flipped bullish, but this trade didn't play out as expected. The price dropped 25.4% after the signal. Interestingly, the AI reversed again with a bearish signal just five days later, showing how fast sentiment and momentum can shift in emerging narratives like AI tokens.

The third signal marked a solid win: Bittensor dropped from $327 to $182.9 following the bearish call — another 44% drop captured in advance.

In April 2025, momentum returned. The AI issued a bullish alert on April 19, with TAO at $281. By the end of May, the token had rallied to over $474, resulting in a 68.6% gain — one of the best performing bullish signals in the dataset.

On June 4, the latest red dot (bearish) appeared. The model anticipates another downward move — time will tell if it materializes, but the track record suggests caution is warranted.

Ethereum

Finally, we analyze the AI’s predictive power for Ethereum, the second-largest crypto by market cap. Over the six-month window, Token Metrics AI made three major calls — and each one captured critical pivots in ETH’s price.

On November 7, 2024, a green dot (bullish) appeared when ETH was priced at $2,880. The price then surged to $4,030 in less than 40 days, marking a 40% gain. For ETH, such a move is substantial and was well-timed.

By December 24, the AI flipped bearish with ETH trading at $3,490. This signal was perhaps the most important, as it came ahead of a major downturn. ETH eventually bottomed out near $1,540 in April 2025, avoiding a 55.8% drawdown for those who acted on the signal.

In May 2025, the AI signaled another bullish trend with ETH around $1,850. Since then, the asset rallied to $2,800, creating a 51% gain.

These three trades — two bullish and one bearish — show the AI’s potential in navigating large-cap assets during both hype cycles and corrections.Backtesting Token Metrics AI across memecoins, AI narratives, and Ethereum shows consistent results: early identification of breakouts, timely exit signals, and minimized risk exposure. While no model is perfect, the six-month history reveals a tool capable of delivering real value — especially when used alongside sound risk management.

Whether you’re a trader looking to time the next big altcoin rally or an investor managing downside in turbulent markets, Token Metrics AI signals — available via the fastest crypto API — offer a powerful edge.

Backtesting Token Metrics AI across memecoins, AI narratives, and Ethereum shows consistent results: early identification of breakouts, timely exit signals, and minimized risk exposure. While no model is perfect, the six-month history reveals a tool capable of delivering real value — especially when used alongside sound risk management.

Whether you’re a trader looking to time the next big altcoin rally or an investor managing downside in turbulent markets, Token Metrics AI signals — available via the fastest crypto API — offer a powerful edge.

Research

Token Metrics API vs. CoinGecko API: Which Crypto API Should You Choose in 2025?

Token Metrics Team
7 min
MIN

As the crypto ecosystem rapidly matures, developers, quant traders, and crypto-native startups are relying more than ever on high-quality APIs to build data-powered applications. Whether you're crafting a trading bot, developing a crypto research platform, or launching a GPT agent for market analysis, choosing the right API is critical.

Two names dominate the space in 2025: CoinGecko and Token Metrics. But while both offer access to market data, they serve fundamentally different purposes. CoinGecko is a trusted source for market-wide token listings and exchange metadata. Token Metrics, on the other hand, delivers AI-powered intelligence for predictive analytics and decision-making.

Let’s break down how they compare—and why the Token Metrics API is the superior choice for advanced, insight-driven builders.

🧠 AI Intelligence: Token Metrics Leads the Pack

At the core of Token Metrics is machine learning and natural language processing. It’s not just a data feed. It’s an AI that interprets the market.

Features exclusive to Token Metrics API:

  • Trader Grade (0–100) – Short-term momentum score based on volume, volatility, and technicals
  • Investor Grade (0–100) – Long-term asset quality score using fundamentals, community metrics, liquidity, and funding
  • Bullish/Bearish AI Signals – Real-time alerts based on over 80 weighted indicators
  • Sector-Based Smart Indices – Curated index sets grouped by theme (AI, DeFi, Gaming, RWA, etc.)
  • Sentiment Scores – Derived from social and news data using NLP
  • LLM-Friendly AI Reports – Structured, API-returned GPT summaries per token
  • Conversational Agent Access – GPT-based assistant that queries the API using natural language

In contrast, CoinGecko is primarily a token and exchange aggregator. It offers static data: price, volume, market cap, supply, etc. It’s incredibly useful for basic info—but it lacks context or predictive modeling.

Winner: Token Metrics — The only crypto API built for AI-native applications and intelligent automation.

🔍 Data Depth & Coverage

While CoinGecko covers more tokens and more exchanges, Token Metrics focuses on providing actionable insights rather than exhaustively listing everything.

Feature                                                   Token Metrics API                                    CoinGecko API

Real-time + historical OHLCV              ✅                                                          ✅

Trader/Investor Grades                        ✅ AI-powered                                     ❌

Exchange Aggregation                         ✅ (Used in indices, not exposed)     ✅

Sentiment & Social Scoring                  ✅ NLP-driven                                     ❌

AI Signals                                               ✅                                                         ❌

Token Fundamentals                            ✅ Summary via deepdive         ⚠️ Limited

                                                                        endpoint

NFT Market Data                                  ❌                                                          ✅

On-Chain Behavior                               ✅ Signals + Indices                   ⚠️ Pro-only (limited)

If you're building something analytics-heavy—especially trading or AI-driven—Token Metrics gives you depth, not just breadth.

Verdict: CoinGecko wins on broad metadata coverage. Token Metrics wins on intelligence and strategic utility.

🛠 Developer Experience

One of the biggest barriers in Web3 is getting devs from “idea” to “prototype” without friction. Token Metrics makes that easy.

Token Metrics API Includes:

  • SDKs for Python, Node.js, and Postman
  • Quick-start guides and GitHub sample projects
  • Integrated usage dashboard to track limits and history
  • Conversational agent to explore data interactively
  • Clear, logical endpoint structure across 21 data types

CoinGecko:

  • Simple REST API
  • JSON responses
  • Minimal docs
  • No SDKs
  • No built-in tooling (must build from scratch)

Winner: Token Metrics — Serious devs save hours with ready-to-go SDKs and utilities.

📊 Monitoring, Quotas & Support

CoinGecko Free Tier:

  • 10–30 requests/min
  • No API key needed
  • Public endpoints
  • No email support
  • Rate limiting enforced via IP

Token Metrics Free Tier:

  • 5,000 requests/month
  • 1 request/min
  • Full access to AI signals, grades, rankings
  • Telegram & email support
  • Upgrade paths to 20K–500K requests/month

While CoinGecko’s no-login access is beginner-friendly, Token Metrics offers far more power per call. With just a few queries, your app can determine which tokens are gaining momentum, which are losing steam, and how portfolios should be adjusted.

Winner: Token Metrics — Better for sustained usage, scaling, and production reliability.

💸 Pricing & Value

Plan Feature                CoinGecko Pro            Token Metrics API

Entry Price                  ~$150/month                $99/month

AI Grades & Signals            ❌                               ✅ 

Sentiment Analytics            ❌                               ✅

Sector Index Insights          ❌                               ✅

NLP Token Summaries       ❌                                ✅

Developer SDKs                  ❌                                ✅

Token-Based Discounts     ❌                                ✅ (up to 35% with $TMAI)

For what you pay, Token Metrics delivers quant models and intelligent signal streams — not just raw price.

Winner: Token Metrics — Cheaper entry, deeper value.

🧠 Use Cases Where Token Metrics API Shines

  • Trading Bots
    Use Trader Grade and Signal endpoints to enter/exit based on AI triggers.
  • GPT Agents
    Generate conversational answers for “What’s the best AI token this week?” using structured summaries.
  • Crypto Dashboards
    Power sortable, filtered token tables by grade, signal, or narrative.
  • Portfolio Rebalancers
    Track real-time signals for tokens held, flag risk zones, and show sector exposure.
  • LLM Plugins
    Build chat-based investment tools with explainability and score-based logic.

🧠 Final Verdict: CoinGecko for Info, Token Metrics for Intelligence

If you're building a crypto price tracker, NFT aggregator, or exchange overview site, CoinGecko is a solid foundation. It’s reliable, broad, and easy to get started.

But if your product needs to think, adapt, or help users make better decisions, then Token Metrics API is in another class entirely.

You're not just accessing data — you're integrating AI, machine learning, and predictive analytics into your app. That’s the difference between showing the market and understanding it.

🔗 Ready to Build Smarter?

  • ✅ 5,000 free API calls/month
  • 🤖 Trader & Investor Grades
  • 📊 Live Bull/Bear signals
  • 🧠 AI-powered summaries and GPT compatibility
  • ⚡ 21 endpoints + Python/JS SDKs

👉 Start with Token Metrics API

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