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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

What Happens When Your Crypto Index Goes to Cash (Stablecoins)?

Token Metrics Team
14
MIN

In the fast-paced and often unpredictable world of cryptocurrency investing, knowing when to step aside can be as valuable as knowing when to jump in. This wisdom is especially pertinent in 2025, a year marked by heightened market volatility and growing institutional interest in digital assets. Stablecoins are a type of cryptocurrency designed to maintain a stable value relative to another asset, such as the US dollar, making them a unique crypto asset that offers lower volatility and greater usability in transactions. As the stablecoin market surpasses $232 billion in market capitalization and regime-switching strategies gain traction among professional investors, understanding what happens when your crypto index goes to cash stablecoins could be the key to preserving wealth amid turbulent markets.

Moving your crypto index to cash—specifically into stablecoins—does not mean abandoning the crypto market altogether. Instead, it represents a tactical shift designed to protect your portfolio’s value when market conditions become unfavorable. Stablecoins are digital tokens that act as stable assets and serve as a form of money within the crypto ecosystem, providing a digital representation of fiat currencies on the blockchain. What makes stablecoins attractive for this strategy is their ability to provide price stability and reduce risk during market downturns. This article explores the mechanics, rationale, and real-world impact of this increasingly popular strategy, with a focus on how stablecoins function as a defensive asset in the evolving crypto landscape.

The Evolution of Smart Index Strategies

Traditional crypto indices typically maintain constant exposure to a broad basket of crypto assets, forcing investors to endure the full brunt of market crashes from peak to bottom. This static approach can be punishing given the crypto market’s notorious volatility, where sharp drawdowns can erase years of gains in just a few weeks.

However, 2025 has ushered in a new paradigm: regime-switching indices that dynamically allocate between risk assets and defensive positions based on quantifiable market signals. These smart index strategies adjust exposure in real time, shifting from volatile crypto assets to stablecoins when indicators suggest heightened market risk.

A prime example is Token Metrics’ TM Global 100 Index, which leverages AI-powered analytics to monitor market conditions and execute these regime switches systematically. This approach represents one of the most significant innovations in crypto portfolio management since the advent of Bitcoin ETFs, offering investors a way to maintain participation in the crypto market while actively managing downside risk.

Unlike traditional indices that remain fully invested regardless of market turmoil, regime-switching strategies prioritize capital preservation by moving into cash stablecoins during bearish phases. This dynamic allocation is a data-driven response to the brutal reality of crypto’s worst drawdowns and aims to protect investors from severe losses.

Understanding the Cash Transition: The Mechanics

When a regime-switching crypto index like the TM Global 100 moves to cash stablecoins, several important processes take place simultaneously:

  • Portfolio Liquidation: The index systematically sells its crypto holdings—whether that includes the top 100 crypto assets by market capitalization or a more focused selection—and converts the proceeds into stablecoins such as USDC or USDT. These stablecoins are typically backed by reserve assets, which help maintain their value and stability. Companies that issue stablecoins must follow certain regulatory requirements and proposed rules to ensure transparency, proper management of reserve assets, and overall stability in the market. USDT alone processes over $1 trillion in transactions monthly and the total stablecoin transaction volume exceeds $4.7 trillion in recent 30-day periods.
  • Capital Preservation Mode: Once converted, your investment no longer rides the waves of highly volatile cryptocurrencies but instead resides in dollar-pegged stablecoins that maintain a stable value relative to the US dollar. This means that while the broader crypto market could plunge by 30%, 50%, or even more, your portfolio’s value remains anchored, shielding you from significant losses.
  • Transaction Transparency: Platforms like Token Metrics provide full visibility into every rebalance and transaction. Investors can track exactly when the switch occurred, the prices at which assets were sold, and the current holdings in stablecoins. The process to issue stablecoins involves compliance with proposed rules and oversight by the issuing company, which further enhances transparency and regulatory confidence. This transparency addresses common concerns about algorithmic trading strategies operating as a “black box.”
  • Fee and Slippage Management: Moving from crypto assets to stablecoins isn’t without cost. Gas fees, platform fees, and potential slippage during asset liquidation can impact returns. However, leading platforms disclose these costs upfront, enabling investors to weigh the benefits of risk reduction against transaction expenses before executing the switch.

Types of Stablecoins: What Your Index Might Hold

Stablecoins are a unique class of digital asset designed to maintain a stable value, typically pegged to a traditional asset like the US dollar. For crypto investors and stablecoin issuers, understanding the different types of stablecoins is crucial for navigating the crypto market and making informed decisions about risk and exposure.

  • Fiat-backed stablecoins: are the most widely used, with examples like Tether (USDT) and USD Coin (USDC). These stablecoins are backed by reserves of fiat currency, such as dollars, held in bank accounts or with trusted custodians. This direct link to fiat currency helps maintain price stability and makes them a preferred choice for investors seeking a stable value during periods of market volatility.
  • Commodity-backed stablecoins: offer another approach, using physical assets like gold to back their value. Tether Gold (XAUt) is a prominent example, allowing investors to hold a digital token that represents ownership of a specific amount of gold. These stablecoins provide exposure to traditional assets while leveraging the efficiency of blockchain technology.
  • Crypto-backed stablecoins: use other cryptocurrencies as collateral. Dai (DAI) is a leading example, where users lock up crypto assets in smart contracts to issue new stablecoins. This model relies on overcollateralization to absorb market fluctuations and maintain the stablecoin’s value, offering a decentralized alternative to fiat-backed options.
  • Algorithmic stablecoins: take a different route, using computer algorithms and smart contracts to automatically adjust supply and demand. Projects like Ampleforth (AMPL) aim to maintain price stability without direct backing from fiat currencies or other assets. While innovative, algorithmic stablecoins can be more susceptible to market shocks and require careful monitoring by both investors and stablecoin issuers.

By understanding these types of stablecoins—fiat-backed, commodity-backed, crypto-backed, and algorithmic—crypto investors can better assess the risks and benefits of each, ensuring their portfolios are aligned with their risk tolerance and market outlook.

Stablecoin Mechanism: How Stability is Maintained

The stability of stablecoins is achieved through a combination of collateralization, algorithmic controls, and transparent reserve management. Each type of stablecoin employs a distinct mechanism to maintain its peg and ensure trust among users and investors.

  • Fiat-backed stablecoins: maintain price stability by holding reserves of fiat currency, such as US dollars, in bank accounts or with regulated custodians. For every stablecoin issued, an equivalent amount of fiat currency is held in reserve, allowing holders to redeem their tokens for cash at any time. Stablecoin issuers are often required to disclose their reserves monthly, providing transparency and reinforcing confidence in the stablecoin’s value.
  • Commodity-backed stablecoins: operate similarly, but their reserves consist of physical assets like gold or other commodities. The value of the stablecoin is directly linked to the market value of the underlying asset, and regular audits help ensure that the reserves match the outstanding supply.
  • Crypto-backed stablecoins: use overcollateralization to manage risk. By locking up more value in crypto assets than the stablecoins issued, these projects create a buffer against market volatility. Smart contracts automatically manage the collateral, liquidating positions if the value of the backing assets falls below a certain threshold, thus maintaining the stablecoin’s peg.
  • Algorithmic stablecoins: rely on smart contracts and computer algorithms to dynamically adjust the supply of tokens in response to changes in demand. If the stablecoin’s price rises above its target, new tokens are issued to increase supply; if it falls below, tokens are removed from circulation. This approach aims to maintain price stability without direct backing from fiat or other assets, though it can be more vulnerable to extreme market conditions.

Regulatory frameworks like the GENIUS Act require stablecoin issuers to hold reserves in cash or short-term Treasurys and to provide regular disclosures. These measures, combined with robust reserve management and transparent reporting, are essential for maintaining trust and stability in the rapidly evolving stablecoin market.

Why Stablecoins? The Strategic Rationale

The choice to move into stablecoins as a defensive position is far from arbitrary. In 2025, stablecoins have evolved beyond niche crypto instruments to become a mainstream component of the financial market infrastructure. Stablecoins aim to provide a stable alternative to volatile cryptocurrencies, making them attractive for both retail and institutional investors. This transformation is fueled by explosive growth, regulatory clarity, and increasing integration with traditional finance.

Regulatory frameworks such as the European Union’s MiCA regulation and the proposed U.S. GENIUS Act have provided much-needed legal protections and guidelines for stablecoin issuers. These frameworks have a significant impact on companies operating in the digital asset and stablecoin ecosystem, shaping their compliance strategies and opening new opportunities for growth. The passage of such legislation is also aimed at establishing national innovation and promoting national innovation in blockchain technology and digital assets, positioning these sectors as pillars of future economic advancement.

Major financial institutions have also embraced stablecoins. For example, JPMorgan has expanded its JPM Coin platform to facilitate euro-denominated payments, while PayPal has begun using its PYUSD stablecoin for business transactions. These developments validate stablecoins as a legitimate, dollar-equivalent medium of exchange within the digital asset ecosystem. However, unlike central banks, which issue central bank digital currencies (CBDCs) recognized as legal tender by governments, stablecoins are typically issued by private companies and are not considered legal tender. This distinction highlights the differences in credibility, backing, and regulatory oversight between stablecoins and CBDCs.

Stablecoins offer distinct advantages over traditional fiat currency held in bank accounts. They provide 24/7 availability, near-instant settlement of transactions, transparent on-chain tracking, and the ability to redeploy capital rapidly when market conditions improve. When your crypto index signals a return to risk-on mode, converting stablecoins back into crypto assets can happen in just a few hours—something impossible with conventional cash.

Additionally, regions like Latin America have seen rapid adoption of stablecoins, driven by currency instability and limited access to traditional banking infrastructure. This trend underscores the growing importance of stablecoins in emerging markets as a practical solution for financial inclusion and stability.

Regulatory Environment: Navigating Compliance and Oversight

As stablecoins become an integral part of the digital asset ecosystem, the regulatory environment is rapidly evolving to ensure their safety, transparency, and reliability. Governments and regulatory bodies worldwide are establishing comprehensive frameworks to oversee stablecoin issuance, trading, and reserve management.

In the United States, the GENIUS Act, enacted in 2025, sets clear standards for USD-backed payment stablecoins. Under this regulatory framework, stablecoin issuers must hold reserves in cash or short-term Treasurys and disclose their reserves monthly. The Act also provides legal protections for stablecoin holders, ensuring that their assets are safeguarded in the event of issuer insolvency. These requirements are designed to foster trust, support mainstream adoption, and protect investors in the growing stablecoin market.

Europe has taken a similarly proactive approach with the Markets in Crypto Assets Regulation (MiCAR). This regulatory framework bans algorithmic stablecoins and mandates that other stablecoins maintain liquid reserves held by third-party custodians at a strict 1:1 asset-to-coin ratio. These rules are intended to prevent systemic risks and ensure that stablecoins can reliably serve as a medium of exchange and store of value within the broader financial market infrastructure.

For stablecoin issuers and crypto investors, navigating this evolving regulatory landscape is essential. Compliance with reserve requirements, regular disclosures, and legal protections not only supports the stability of individual stablecoins but also underpins the credibility and growth of the entire digital asset sector. As the stablecoin market cap continues to expand—now exceeding $162 billion—regulatory clarity will be a key driver of innovation, investor confidence, and the integration of stablecoins into global digital payments and cross border payments systems.

Token Metrics: Leading the Regime-Switching Revolution

While regime switching is a familiar concept in traditional finance, Token Metrics has pioneered its application in the crypto industry by combining AI-powered analytics with systematic portfolio management. Token Metrics employs a team of data scientists, machine learning experts, and crypto-native analysts to provide insights on over 6,000 crypto and NFT projects.

The TM Global 100 Index embodies this innovative approach. During bullish market phases, it holds the top 100 crypto assets by market capitalization to capture broad upside potential. When bearish signals emerge, it moves entirely to stablecoins, waiting for a green light to re-enter crypto markets. The index rebalances weekly, offering complete transparency including strategy rules, live market gauges, holdings visualized in treemap and table formats, and a full log of every transaction.

What distinguishes Token Metrics is its dual-rating system, assigning each token a Trader Grade for short-term potential and an Investor Grade for long-term viability. These proprietary market signals feed into the regime-switching logic, enabling disciplined and data-driven decisions about when to move to cash stablecoins.

In March 2025, Token Metrics expanded its capabilities with the launch of Trading on Token Metrics, allowing users to execute trades directly on the platform. This integration streamlines the investment process, reducing execution risk and decision fatigue by enabling research, analysis, and trading within a single ecosystem.

The Real-World Impact: What Investors Experience

When your crypto index shifts to stablecoins, the effects on your portfolio and investment experience are tangible:

  • Immediate Volatility Reduction: The most noticeable change is a dramatic reduction in daily portfolio swings. While crypto markets can fluctuate 5-10% or more daily, stablecoins remain pegged to the US dollar, providing a stable value that cushions against market shocks.
  • Opportunity Cost Considerations: Holding stablecoins during sudden market rallies means missing out on potential gains. However, data from 2024-2025 shows that crypto market narratives rotate rapidly—often within weeks—across sectors like AI agents, gaming, and DePIN protocols. Systematic signals help remove emotional bias and timing errors, enhancing long-term returns despite short-term opportunity costs.
  • Tax Implications: Converting crypto assets to stablecoins may trigger taxable events in many jurisdictions. Investors should consult tax professionals to understand the implications of frequent rebalancing, which can complicate tax reporting.
  • Psychological Relief: Perhaps less quantifiable but equally important is the peace of mind that comes from knowing your capital is preserved during market turmoil. The mental toll of watching portfolio values collapse can be severe, and regime switching addresses this human factor by providing a disciplined safety net.

The 2025 Market Context

The relevance of moving your crypto index to cash stablecoins is heightened by the current market environment in 2025. Bitcoin dominance hovers around 58%, while the CoinMarketCap Altcoin Season Index sits at 55/100, indicating a phase of consolidation and mixed performance rather than clear upward momentum.

This environment is characterized by rapid shifts in market narratives and fragmented liquidity, making systematic risk management strategies more valuable than ever. Moreover, institutional interest in digital assets continues to grow, with 67% of firms planning to increase crypto holdings and professional investors managing $27.4 billion in U.S. Bitcoin ETFs.

As sophisticated capital enters the crypto markets with disciplined risk frameworks, retail investors stand to benefit by adopting similar regime-aware strategies that leverage stablecoins for capital preservation.

Implementing Your Strategy

For investors considering regime-switching indices that move to cash stablecoins, several practical steps can help optimize outcomes:

  • Understand the Signal Logic: Different platforms employ various market indicators to trigger regime switches. Token Metrics uses proprietary signals classifying market conditions as bullish or bearish, but transparency about methodology is crucial for trust.
  • Evaluate Historical Performance: While past performance does not guarantee future results, reviewing how the strategy fared during previous bear markets provides valuable context and confidence.
  • Consider Your Time Horizon: Regime switching suits investors seeking systematic risk management without the need for daily liquidity. Tax considerations related to frequent rebalancing should also be factored into your decision.
  • Start with Core Allocation: Using a regime-switching index for your core crypto allocation allows you to maintain risk-managed exposure while pursuing higher-conviction satellite positions separately.

Conclusion: The Future of Disciplined Crypto Exposure

The question facing crypto investors today is not whether their indices should move to cash stablecoins, but whether their strategies have the discipline to do so when market conditions demand it. Token Metrics’ TM Global 100 Index demonstrates that combining broad crypto exposure with systematic risk management through stablecoin rotation offers a more mature and resilient approach to investing in digital assets.

Transitioning to stablecoins is not about perfectly timing the market; it’s about surviving the inevitable steep drawdowns that have historically wiped out significant value multiple times in crypto’s history. Preservation of capital is as vital as participation in upside moves.

As regulatory frameworks mature, institutional adoption accelerates, and market infrastructure improves throughout 2025, investors have unprecedented tools to navigate crypto’s volatility. Token Metrics’ integration of AI analytics, regime detection, and seamless trade execution creates an ecosystem where investors can capture crypto’s upside while managing downside risks effectively.

When your crypto index goes to cash stablecoins, it’s not retreating—it’s regrouping. In the volatile and rapidly evolving world of digital assets, knowing when to step aside might just be your most genius act yet.

Research

Understanding Crypto Market Microstructure: Lessons from a $19 Billion Liquidation Event

Token Metrics Team
12
MIN

The cryptocurrency markets recently experienced their largest single-day liquidation event in history—$19 billion in leveraged positions eliminated within hours. Beyond the immediate impact on traders and portfolios, this event offers a masterclass in market microstructure, liquidity dynamics, and systemic risk. This analysis explores the mechanics of what happened and the broader implications for understanding how digital asset markets function under stress.

The Anatomy of Market Liquidity

What Is Market Depth?

Market depth refers to the market's ability to sustain large orders without significant price impact. It's visualized through order books—the collection of buy and sell orders at various price levels.

Consider a practical example: If a cryptocurrency has $370,000 in orders within 2% of the current price, this represents the "2% depth." A sell order of this size would move the price down by 2%. During normal market conditions, market makers continuously replenish these orders, maintaining depth.

However, during last week's event, this depth evaporated. Some assets saw their 2% depth collapse from hundreds of thousands to mere tens of thousands—a 10x reduction in market resilience.

The Role of Market Makers

Market makers serve as the plumbing of financial markets. They:

  • Continuously quote both buy and sell prices
  • Provide liquidity for traders entering and exiting positions
  • Hedge their exposure through various instruments
  • Use automated algorithms to manage thousands of positions simultaneously

Their profitability comes from the bid-ask spread, but this model requires:

  • Connectivity: Reliable data feeds from exchanges
  • Hedging capability: Access to instruments for offsetting risk
  • Capital efficiency: Ability to maintain positions across multiple venues

When any of these breaks down, market makers protect themselves by withdrawing—exactly what occurred last Friday.

The Leverage Cascade: A Systems Perspective

Perpetual Futures Architecture

Perpetual futures contracts have become the dominant trading vehicle in crypto, surpassing spot volume on most assets. Unlike traditional futures, perpetuals don't expire. Instead, they use a funding rate mechanism to keep prices anchored to spot markets.

This structure creates several unique characteristics:

  1. Capital Efficiency: Traders can control large positions with relatively small collateral. A 10x leveraged position allows $10,000 to control $100,000 in exposure.
  2. Liquidation Mechanisms: When collateral falls below maintenance requirements, positions are automatically closed. In centralized exchanges, this happens through the liquidation engine. In decentralized perpetual DEXs, smart contracts execute liquidations.
  3. Socialized Losses: If liquidations can't be executed at prices that cover losses, many platforms employ "auto-deleveraging" (ADL), where profitable traders on the opposite side are automatically closed to balance the system.

The Cascade Effect

The $19 billion liquidation followed a predictable but devastating pattern:

  1. Stage 1: Initial Trigger Geopolitical news created uncertainty, prompting large traders to reduce exposure. A whale allegedly opened significant short positions ahead of a major policy announcement.
  2. Stage 2: Price Movement Initial selling pushed prices down, triggering stop-losses and liquidations of over-leveraged long positions.
  3. Stage 3: Liquidity Withdrawal Critical exchange APIs experienced disruptions. Unable to hedge or access reliable pricing, market makers stopped quoting.
  4. Stage 4: Liquidity Void With minimal order book depth, liquidation orders had exponentially larger price impacts, triggering additional liquidations.
  5. Stage 5: Cross-Margining Failure Traders using multiple positions as collateral (cross-margin) found themselves exposed when individual positions were liquidated, leaving other positions unhedged.
  6. Stage 6: Auto-Deleveraging Even profitable positions were forcibly closed to rebalance the system, affecting traders who thought they were protected.

Comparative Analysis: COVID-19 vs. The Recent Event

March 2020 COVID Crash

The March 12, 2020 crash ("Black Thursday") represented systemic risk-off behavior:

  • Bitcoin: -50%
  • Ethereum: -43 to -45%
  • Broad-based selling across all asset classes

Driven by unprecedented global uncertainty. Recovery took months.

October 2025 Event

The recent event showed different characteristics:

  • Bitcoin: -9%
  • Ethereum: -10%
  • Selective altcoin devastation (some -90%+)
  • Leverage-driven rather than sentiment-driven
  • Partial recovery within days

Key Insight: This was a microstructure event, not a macro repricing. The difference is critical for understanding market health and recovery dynamics.

The Perpetual DEX Revolution and Its Risks

Decentralization of Derivatives

The emergence of perpetual DEXs (Hyperliquid, GMX, dYdX v4) represents a significant market structure evolution:

Advantages:

  • Non-custodial trading
  • Transparent on-chain settlement
  • Reduced counterparty risk
  • Composability with DeFi protocols

Challenges:

  • Concentrated liquidity pools
  • Less sophisticated market-making
  • Smart contract risk
  • Oracle dependencies for liquidations
  • Limited circuit breakers

The proliferation of these platforms contributed to the unprecedented leverage in the system. Open interest across perpetual DEXs had reached all-time highs, creating vulnerability to coordinated liquidation cascades.

Information Asymmetry and Market Timing

The Insider Trading Question

The timing of large short positions immediately preceding policy announcements raises important questions about information flow in crypto markets:

  • Information Hierarchy: True insiders (policymakers, direct contacts)
  • Well-connected individuals (lobbyists, industry leaders)
  • Professional traders monitoring news feeds
  • Retail traders reading headlines

In traditional markets, insider trading is legally defined and enforced. In crypto's global, 24/7 market, jurisdictional ambiguity and pseudonymity complicate enforcement.

Market Efficiency Implications: The rapid price movement suggests either:

  • Exceptional timing and risk appetite
  • Access to non-public information
  • Sophisticated analysis of geopolitical developments

Regardless of the mechanism, it demonstrates that information advantages remain a powerful edge in supposedly "democratized" markets.

Real-World Asset Integration: A Stabilizing Force?

Maple Finance Case Study

Amid the carnage, platforms focused on real-world assets (RWAs) showed resilience. Maple Finance reported:

  • Zero liquidations during the event
  • Continued TVL growth (10x year-over-year)
  • Stable yields throughout volatility

Why RWAs Performed Differently:

  • Lower Leverage: RWA protocols typically don't offer high leverage ratios
  • Real Collateral: Backed by off-chain assets with independent value
  • Institutional Borrowers: More stable, less speculative user base
  • Different Risk Profile: Credit risk versus market risk

This suggests a potential future where crypto markets bifurcate:

  • Speculative layer: High leverage, high velocity, narrative-driven
  • Productive layer: RWAs, yield generation, institutional capital

Risk Management in Volatile Markets

Position Sizing Mathematics

The Kelly Criterion provides a mathematical framework for position sizing:

f = (bp - q) / b

Where:

  • f = optimal fraction of capital to risk
  • b = odds received on bet
  • p = probability of winning
  • q = probability of losing

In crypto's volatile environment, even sophisticated traders often overallocate. The recent event demonstrated that even with positive expected value, overleveraged positions face ruin through path dependency.

The Volatility Paradox

Crypto's appeal partly stems from volatility—the opportunity for significant returns. However, this same volatility creates:

  1. Leverage Incompatibility: High volatility means small price movements can trigger liquidations. A 5x leveraged position can be liquidated with a 20% adverse move—common in crypto.
  2. Correlation Breakdown: Assets assumed to be uncorrelated often converge during stress, eliminating diversification benefits.
  3. Liquidity Illusion: Markets appear liquid until everyone tries to exit simultaneously.

Hedging Challenges

Traditional hedging strategies face unique challenges in crypto:

  • Delta Hedging: Requires continuous rebalancing in a 24/7 market with variable liquidity.
  • Options Strategies: Crypto options markets have limited depth and wide spreads, making sophisticated strategies expensive.
  • Cross-Asset Hedging: Macro hedges (short equities, long gold) often fail to activate or provide insufficient offset.

The Institutional Risk: Who Went Under?

Previous cycles saw major institutional failures:

  • 2022: Celsius, Voyager, BlockFi, FTX/Alameda
  • 2021: Multiple leveraged funds during May crash
  • 2018: Various ICO-era projects and funds

Each followed a similar pattern:

  • Overleveraged positions
  • Illiquid collateral
  • Inability to meet margin calls
  • Cascading liquidations
  • Eventual insolvency

Current Speculation

Several indicators suggest potential institutional distress:

  • Market Maker Silence: Prominent firms haven't issued statements—unusual given the event's magnitude.
  • Withdrawal Delays: Anecdotal reports of delayed withdrawals from certain platforms.
  • Unusual Price Dislocations: Persistent basis spreads suggesting forced deleveraging.
  • Liquidity Patterns: Sustained reduction in market depth even post-event.

History suggests revelations of institutional failures often emerge weeks or months after the triggering event, as liquidity issues compound.

Behavioral Dynamics: The Human Element

Cognitive Biases in Crisis

The event highlighted several psychological factors:

  • Recency Bias: Many traders, having experienced months of upward price action, underestimated downside risks.
  • Overconfidence: Success in bull markets often leads to excessive risk-taking, particularly with leverage.
  • Loss Aversion: Instead of cutting losses early, many traders added to positions, compounding losses.
  • Herding: Once liquidations began, panic selling accelerated the cascade.

Social Media Amplification

Crypto's real-time social media ecosystem amplified volatility:

  • Liquidation alerts trending on X (Twitter)
  • Telegram groups sharing losses, creating contagion fear
  • Influencers calling for further downside
  • Misinformation about exchange solvency

This feedback loop between price action and social sentiment accelerates both crashes and recoveries.

Technical Infrastructure Vulnerabilities

API Reliability as Systemic Risk

The role of Binance API disruptions cannot be overstated. As the dominant exchange by volume, Binance serves as:

  • Primary price discovery venue
  • Critical hedging platform for market makers
  • Reference for perpetual funding rates
  • Liquidity hub for arbitrage

When its APIs became unreliable, the entire market's plumbing failed. This centralization risk persists despite crypto's decentralization ethos.

Circuit Breakers: The Debate

Traditional markets employ circuit breakers—trading halts during extreme volatility. Crypto's 24/7, decentralized nature complicates implementation:

Arguments For:

  • Prevents cascade liquidations
  • Allows time for rational assessment
  • Protects retail from algos

Arguments Against:

  • Who has authority to halt trading?
  • Increases uncertainty and exit rushing when resumed
  • Antithetical to crypto's permissionless nature
  • Centralized venues would need coordination

The lack of circuit breakers contributed to the cascade but also allowed for rapid price discovery and recovery.

Market Cycle Positioning: Strategic Framework

Identifying Market Phases

The document referenced an accumulation phase. Understanding market cycles requires multiple indicators:

  1. Momentum Indicators: Price trends across multiple timeframes, volume patterns, volatility regimes
  2. Sentiment Metrics: Funding rates (bullish when positive), open interest growth or decline, social media sentiment analysis
  3. On-Chain Data: Exchange flows (accumulation vs. distribution), dormant coin circulation, miner behavior

The Trader vs. Investor Dichotomy

Current market conditions favor trading over investing:

Trading Approach
  • Narrative-driven entries (AI, RWAs, privacy, etc.)
  • Defined exit criteria
  • Risk management through position sizing
  • Frequent portfolio turnover
Investing Approach
  • Fundamental analysis of technology and adoption
  • Multi-year hold periods
  • Conviction through volatility
  • Network effect accumulation

The challenge: most altcoins lack the fundamentals for long-term holding, yet trading requires timing and execution that most cannot consistently achieve.

Alternative Strategies: Defensive Positioning

Yield-Bearing Stablecoins

For risk-off periods, yield-generating strategies offer protection:

  • Options: Staked stablecoins (sUSDS, sDAI): 4-5% APY
  • Delta-neutral strategies (Ethena): 5-8% APY
  • Lending protocols (Aave, Compound): 3-12% depending on asset

Risk Considerations:

  • Smart contract risk
  • Protocol solvency
  • Depeg risk for synthetic stables
  • Opportunity cost versus appreciation assets

The Index Approach

Systematized exposure through index products offers advantages:

  • Benefits:
    • Eliminates Selection Risk: Own the market rather than picking winners
    • Rebalancing Discipline: Automated position management
    • Risk Management: Systematic entry/exit based on market conditions
    • Compounding: Consistent moderate returns compound over time
  • Trade-offs:
    • Lower ceiling than identifying individual winners
    • Fees and rebalancing costs
    • Still subject to overall market direction
    • Requires discipline during bull markets

Historical Outperformers in Bear Markets

Previous cycles identified categories that maintained relative strength:

  • 2018-2019 Bear Market: Chainlink: Infrastructure play, oracle adoption
  • Binance Coin: Exchange utility, launchpad value
  • Synthetix: Innovation in synthetic assets

Common Characteristics:

  • Real usage and adoption
  • Revenue generation
  • Solving specific problems
  • Community and developer activity

The challenge: identifying these requires foresight that's obvious only in retrospect.

Future Market Structure Evolution

Potential Developments

  1. Institutional Infrastructure: Better custody, prime brokerage services, and institutional-grade derivatives will reduce some forms of market instability while potentially introducing others (e.g., complex derivatives).
  2. Regulatory Clarity: Clearer frameworks may reduce certain risks (fraud, manipulation) but could introduce others (compliance costs, reduced access).
  3. Improved Oracle Networks: More reliable price feeds will reduce liquidation errors and improve DeFi stability.
  4. Cross-Chain Liquidity: Better interoperability could distribute liquidity more evenly, reducing concentration risk.
  5. RWA Integration: Tokenized real-world assets may provide ballast to purely speculative markets.

Persistent Challenges

  1. Volatility Will Remain: The crypto market's youth, global accessibility, and 24/7 nature ensure ongoing volatility.
  2. Leverage Will Persist: The demand for capital efficiency means leveraged products will continue to exist and evolve.
  3. Information Asymmetry: Some participants will always have better information, analysis, or execution.
  4. Technical Fragility: As systems grow more complex, new vulnerabilities emerge.

Practical Takeaways

For Traders

  • Leverage Is Optional: Most traders would perform better without it
  • Liquidity Matters: Trade assets where you can exit quickly
  • Position Sizing: Risk per trade should reflect volatility
  • Diversify Exchanges: Don't keep all funds in one venue
  • Plan Before Crisis: Know your exits before entering

For Investors

  • Fundamentals Still Matter: Technology and adoption outlast hype
  • Time Horizon Clarity: Match holdings to investment timeframe
  • Understand Tokenomics: Supply dynamics affect long-term value
  • Diversification Limits: Most altcoins are highly correlated
  • Emotional Discipline: Volatility is the price of admission

For Market Observers

  • Microstructure Drives Macro: Short-term moves often reflect technical factors rather than fundamental repricing
  • Liquidity Is Fragile: Order book depth can vanish instantly
  • Interconnectedness: Crypto's ecosystem is highly interconnected despite appearing diverse
  • Innovation Pace: Market structure evolves rapidly, requiring continuous learning
  • Regulatory Impact: Policy decisions increasingly influence market behavior

Conclusion: The Maturation Paradox

The recent $19 billion liquidation event reveals a paradox in crypto market evolution. Markets have simultaneously become more sophisticated (complex derivatives, institutional participation, integrated infrastructure) and more fragile (concentrated leverage, technical dependencies, correlated liquidations).

This isn't a bug—it's a feature of financial market development. Traditional markets experienced similar growing pains: the 1987 crash, the 1998 LTCM crisis, the 2008 financial crisis. Each revealed vulnerabilities in market structure, leading to reforms, regulations, and evolution.

Crypto's path will likely parallel this trajectory: periodic crises exposing weaknesses, followed by improvements in infrastructure, risk management, and participant sophistication. The difference is tempo—crypto's 24/7, global, permissionless nature compresses decades of traditional market evolution into years.

For participants, the imperative is clear: understand the mechanics underlying market movements, not just price action. Liquidity dynamics, leverage mechanics, information flow, and technical infrastructure aren't peripheral concerns—they're central to navigating these markets successfully.

The $19 billion question isn't whether such events will recur—they will. It's whether each iteration teaches lessons that improve individual decision-making and collective market resilience. Based on history, both in crypto and traditional finance, the answer is cautiously optimistic: markets do learn, but slowly, and often at significant cost to those who fail to adapt.

Research

How Can I Mint My Own NFT? A Complete 2025 Guide

Token Metrics Team
9
MIN

In recent years, the explosion of non-fungible tokens (NFTs) has revolutionized the way digital creators monetize and establish ownership of their work. Whether you are a digital artist, musician, entrepreneur, or simply curious about blockchain technology, understanding how can I mint my own NFT is essential to participate in this vibrant digital economy. Minting your own NFT means transforming your digital files—be it art, music, or collectibles—into unique digital assets secured by blockchain technology. This comprehensive 2025 guide will walk you through every step of the minting process, from concept creation to selling your NFT on a marketplace, ensuring you grasp both the technical and strategic aspects of creating NFTs.

Understanding NFT Minting: What It Actually Means

Minting an NFT is the process of creating a unique token on a blockchain that represents ownership of a specific digital asset. When you mint an NFT, you convert your digital content—such as an image, music track, video, or collectible—into a unique token recorded on the blockchain. This token acts as a verifiable certificate of authenticity and ownership that cannot be altered or duplicated.

Think of minting as digitally striking a limited-edition coin or printing a certificate of authenticity for your digital content. The blockchain acts as a permanent ledger, logging your NFT’s metadata, ownership details, and any royalty agreements you assign for future sales. This process uses smart contracts—self-executing contracts on the blockchain—that define the NFT’s unique characteristics and govern its transfer, sale, or other interactions.

Most NFTs are minted as ERC-721 or ERC-1155 tokens on the Ethereum network or equivalent standards on other blockchains, ensuring interoperability across wallets, marketplaces, and applications. This universal recognition empowers your NFT to be bought, sold, or transferred seamlessly within the growing Web3 world.

Step 1: Choose Your Concept and Create Your Digital Asset

Before you start minting, you need a clear concept and a finished digital file. NFTs can represent virtually any form of digital content, including but not limited to:

  • Visual Art: Digital paintings, illustrations, photography, generative art, or 3D models
  • Music and Audio: Songs, albums, sound effects, or exclusive recordings
  • Video Content: Short films, animations, music videos, or memorable moments
  • Collectibles: Digital trading cards, memorabilia, or character designs
  • Utility NFTs: Membership passes, event tickets, or access tokens
  • Gaming Assets: In-game items, characters, skins, or virtual land

Your concept should balance your creative vision with an understanding of the market. Research existing NFT projects in your niche to discover what appeals to collectors. Decide whether your NFT will be a standalone piece or part of a larger collection, as this influences your minting strategy and marketing approach.

Create your digital asset using the appropriate software tools: Adobe Creative Suite for digital art, digital audio workstations (DAWs) for music, Blender for 3D models, or any other tool that produces high-quality digital files. Ensure your final file complies with the technical requirements of your chosen marketplace, which usually accepts formats like:

  • Image: PNG, JPEG, GIF, SVG
  • Video: MP4, MOV, WEBM
  • Audio: MP3, WAV, FLAC

File size limits typically range up to 100MB, though some platforms allow larger files.

Step 2: Select Your Blockchain Network

Choosing the right blockchain network is a critical decision that affects minting costs, marketplace compatibility, and your target audience. Each blockchain offers unique benefits and tradeoffs:

  • Ethereum: The most established and widely supported network for NFTs, Ethereum boasts the largest marketplace presence and liquidity. However, minting on Ethereum often involves high gas fees—transaction costs that can reach hundreds of dollars during peak times. Ethereum NFTs use ERC-721 or ERC-1155 standards, ensuring broad compatibility.
  • Polygon: A layer-2 solution compatible with Ethereum, Polygon dramatically reduces gas fees to just a few cents or less per transaction. It supports major marketplaces like OpenSea, making it an excellent choice for creators looking to mint NFTs affordably without sacrificing audience reach.
  • Solana: Known for its lightning-fast transaction speeds and minimal fees (fractions of a cent), Solana has become popular for gaming NFTs and large-scale projects. Its ecosystem includes marketplaces like Magic Eden and Solanart.
  • Tezos: An environmentally friendly, proof-of-stake blockchain with very low fees. Tezos appeals to creators and collectors concerned about sustainability.

Your choice of network determines which wallets and marketplaces you can use, so consider where your potential buyers congregate and what aligns with your project’s values and budget.

Step 3: Set Up Your Cryptocurrency Wallet

To mint NFTs, you need a cryptocurrency wallet that connects to the blockchain network and stores your digital assets. Your wallet acts as your digital identity and bank account within the NFT world. MetaMask is the most widely used wallet for Ethereum and compatible networks. It is available as a browser extension and mobile app, providing a user-friendly interface to manage your crypto and NFTs. Setting up MetaMask involves:

  • Downloading the app or extension from metamask.io or official app stores.
  • Creating a new wallet and setting a strong password.
  • Writing down your 12-24 word seed phrase on paper and storing it securely offline. This phrase is your only way to recover your wallet if you lose access. Never share it or save it digitally.
  • Adding additional networks like Polygon or Avalanche through the wallet’s network settings if needed.

Other popular wallets include Coinbase Wallet, Trust Wallet (mobile-first), and Phantom Wallet (for Solana NFTs). Choose a wallet compatible with your chosen blockchain and your preferred user experience.

Step 4: Fund Your Wallet with Cryptocurrency

Minting NFTs requires cryptocurrency to pay network transaction fees, known as gas fees. The amount depends on your blockchain choice:

  • Ethereum: Budget between $150 and $300 or more to cover minting and gas fees, which fluctuate with network congestion.
  • Polygon: Around $5 to $10 can cover multiple minting transactions due to its low fees.
  • Solana: Typically $1 to $5 is sufficient for extensive minting.

You can purchase cryptocurrency on centralized exchanges such as Coinbase, Binance, or Kraken, using bank transfers, credit cards, or debit cards. After buying, withdraw your crypto to your wallet’s public address—a long alphanumeric string visible in your wallet interface. Always double-check the address before sending, since blockchain transactions are irreversible.

For layer-2 networks like Polygon, you might need to bridge tokens from Ethereum mainnet. Many wallets and marketplaces include built-in bridging tools to simplify this step.

Step 5: Choose Your NFT Marketplace

NFT marketplaces provide the platform to mint, showcase, sell, and trade your digital assets. Each marketplace has its own audience, fee structure, and supported blockchains:

  • OpenSea: The largest NFT marketplace supporting Ethereum, Polygon, Arbitrum, Optimism, Avalanche, and Base. Supports lazy minting, allowing NFTs to be minted without upfront gas fees, paid upon first sale. Platform fee: 2.5% of sales.
  • Rarible: A decentralized, community-driven platform offering multi-chain support and token rewards (RARI). It emphasizes creator empowerment and charges a 2.5% fee on transactions.
  • Foundation: Curated marketplace focusing on high-quality digital art. Charges a 5% platform fee.
  • SuperRare: For exclusive, single-edition digital art, with a 3% primary sale fee and 15% secondary sale fee. It offers a high-end collector experience.
  • Coinbase NFT: Integrated with Coinbase Wallet and exchange, ideal for users in the Coinbase ecosystem.
  • Solanart and Magic Eden: Leading Solana-based marketplaces with low fees and a growing user base.

Select a marketplace that aligns with your blockchain choice, target audience, and project objectives.

Step 6: The Minting Process Step-by-Step

Using OpenSea as an example, the minting steps are as follows:

  1. Connect Your Wallet: Visit the marketplace and click “Connect Wallet.” Select your wallet type (e.g., MetaMask) and approve the connection.
  2. Create a Collection: Organize your NFTs by creating a collection. Enter its name, description, banner, and logo. Set royalty percentages (typically 5-10%).
  3. Start Minting: Click “Create” or “Mint NFT.”
  4. Upload Your Digital File: Drag and drop your file. The platform uploads it to decentralized storage like IPFS.
  5. Configure Metadata: Name your NFT, write a compelling description, add properties, and set supply.
  6. Sales Method: Choose between fixed price, auction, or open bids.
  7. Sign and Mint: Approve the transaction in your wallet. On some platforms, lazy minting is possible, which defers gas fees until sale.
  8. List for Sale: After minting, set your sale price and approve listing.

Understanding and Managing Gas Fees

Gas fees are payments made to blockchain validators to process transactions. Fees vary based on network demand and complexity. During high congestion, Ethereum fees can spike dramatically. To manage costs:

  • Time Transactions: Mint during off-peak hours using tools like ETH Gas Station to monitor real-time fees.
  • Lazy Minting: Platforms like OpenSea allow gasless minting, shifting costs to buyers.
  • Use Cost-Effective Networks: Networks like Polygon, Solana, and Tezos offer minimal fees.
  • Batch Minting: Mint multiple NFTs simultaneously to reduce per-item costs.

Post-Minting Strategies: Marketing and Community Building

Minting your NFT is just the beginning; promotion is key to attracting interest and building value. Consider:

  • Community Engagement: Build a community on Discord, Twitter, or other platforms. Share your creative process and teasers.
  • Social Media Promotion: Use Twitter (X) to showcase high-quality images, stories, and interact with the community. Use relevant hashtags.
  • Create Scarcity: Limited editions and timed drops generate urgency.
  • Ongoing Engagement: Offer exclusive content, holder benefits, and regular updates to maintain interest.

The Role of Analytics in NFT Success

Market intelligence tools like Token Metrics provide AI-powered analytics. They help creators understand market trends, best timing for minting and selling, and collector behavior. Such insights can assist in managing and maximizing digital assets in a competitive landscape.

Common Pitfalls and How to Avoid Them

  • Underestimating Costs: Account for all fees and budget extra for volatility.
  • Legal Issues: Clarify copyright and licensing rights when minting.
  • Community Neglect: Engage and build your audience for sustained interest.
  • Poor Presentation: Use high-quality images, clear descriptions, and storytelling.
  • Expecting Instant Success: Patience and consistent effort are essential.

The Future of NFT Minting

Advancements like gasless minting, layer-2 scaling, and cross-chain interoperability are shaping the future. NFTs are expanding into gaming, virtual real estate, event tickets, memberships, and real-world assets, opening many new opportunities.

Taking the First Step

While minting your first NFT might seem complex, the process is manageable with proper guidance. Start with small, low-cost projects on platforms like Polygon to learn and build your experience. Authenticity and persistence are key in this evolving space. The tools and communities are ready for creators like you to participate and innovate.

The question isn’t just how can I mint my own NFT—you absolutely can. The real question is: what will you create?

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Research

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

Token Metrics Team
6
MIN

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

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

The Hidden Costs Destroying Your Returns

Time Drain: The 500-Hour Tax

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

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

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

Execution Drag: Death by a Thousand Trades

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

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

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

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

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

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

Behavioral Mistakes: Your Worst Enemy Is in the Mirror

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

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

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

Missed Rebalances: Drifting Out of Position

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

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

Tax Reporting Nightmares

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

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

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

The Token Metrics Advantage: Research Meets Execution

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

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

Automation Without Compromise

The best automation is transparent. TM Global 100 offers:

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

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

Decision Framework: When to Automate

Automation suits investors who:

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

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

The Compound Effect of Efficiency

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

Conclusion: Time Back, Returns Up

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

Research

Moonshots API: Discover Breakout Tokens Before the Crowd

Token Metrics Team
5
MIN

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

What You’ll Build in 2 Minutes

Why This Matters

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

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

Where to Find The Moonshots API

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

How It Works (Under the Hood)

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

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

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

Production Checklist

Use Cases & Patterns

Next Steps

FAQs

1) What does the Moonshots API return?

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

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

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

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

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

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

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

5) Can I filter the Moonshots list?

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

6) Do you provide SDKs or examples?

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

7) Pricing, limits, and enterprise SLAs?

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

Research

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

Token Metrics Team
4
MIN

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

What You’ll Build in 2 Minutes

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

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

Next Endpoints to add

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

Why This Matters

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

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

Where to Find

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

👉 Keep momentum: Get API KeyRun Hello-TMClone a Template

How It Works (Under the Hood)

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

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

Production Checklist

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

Use Cases & Patterns

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

Next Steps

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

FAQs

1) What does the Support & Resistance API return?

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

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

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

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

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

4) Can I combine levels with other endpoints?

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

5) Which timeframe should I use?

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

6) Do you provide SDKs or examples?

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

7) Pricing, limits, and enterprise SLAs?

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

Disclaimer

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

Research

Quantmetrics API: Measure Risk & Reward in One Call

Token Metrics Team
5
MIN

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

What You’ll Build in 2 Minutes

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

Next Endpoints to Add

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

Why This Matters

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

Built for dev speed

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

Where to Find

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

Build Smarter Crypto Apps & AI Agents with Token Metrics

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

How It Works (Under the Hood)

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

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

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

Production Checklist

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

Use Cases & Patterns

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

Next Steps

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

FAQs

1) What does the Quantmetrics API return?

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

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

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

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

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

4) Which lookback window should I choose?

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

5) Do you provide SDKs or examples?

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

6) Polling vs webhooks for quant alerts?

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

7) Pricing, limits, and enterprise SLAs?

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

Disclaimer

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

Research

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

Token Metrics Team
4
MIN

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

What You’ll Build in 2 Minutes

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

Endpoints to add next

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

Why This Matters

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

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

Where to Find

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

Live Demo & Templates

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

How It Works (Under the Hood)

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

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

Production Checklist

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

Use Cases & Patterns

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

Next Steps

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

FAQs

1) What does the Trading Signals API return?

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

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

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

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

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

4) How accurate are the signals?

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

5) Do you provide SDKs and examples?

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

6) Polling vs webhooks for alerts?

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

7) Pricing, limits, and enterprise SLAs?

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

Research

Fundamental Grade Crypto API: Real Crypto Fundamentals in One Score

Token Metrics Team
3
MIN

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

What You’ll Build in 2 Minutes

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

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

Endpoints to consider next

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

Why This Matters

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

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

Where to Find

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

Ready to build?

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

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

FAQs

1) What does the Fundamental Grade API return?

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

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

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

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

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

4) How “accurate” is the grade?

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

5) Do you offer SDKs and examples?

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

6) Polling vs webhooks for fundamentals updates?

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

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

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

Research

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

Token Metrics Team
4
MIN

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

What You’ll Build in 2 Minutes

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

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

Endpoints to consider next:

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

Why This Matters

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

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

Where to Find The Fundamental Grade

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

Build Smarter Crypto Apps & AI Agents with Token Metrics

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

How It Works (Under the Hood)

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

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

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

Production Checklist

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

Use Cases & Patterns

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

Next Steps

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

FAQs

1) What does the Fundamental Grade API return?

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

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

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

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

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

4) How “accurate” is the grade?

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

5) Do you offer SDKs and examples?

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

Research

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

Token Metrics Team
5
MIN

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

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

Why Indices Matter in October 2025

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

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

Definition

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

How the TM Global 100 Index Works (Plain English)

  • Regime switching: Bullish: Hold the top-100 crypto assets by market cap.
  • Bearish: Exit all positions into stablecoins and wait for a new bullish signal.
  • Weekly rebalancing: Reflects updated rankings and weights across the market-cap universe.
  • Transparency: Strategy modal shows methodology and thresholds; Gauge → Holdings Treemap → Transactions Log make every change visible.

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

Benefits at a Glance (Why This Beats DIY)

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

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

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

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

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

Decision Guide: Is This Right for You?

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

FAQs

1) What is a TM Global 100 index?

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

2) How often does the index rebalance?

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

3) What triggers the move to stablecoins?

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

4) Can I fund with USDC or fiat?

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

5) Is the wallet custodial?

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

6) How are fees shown?

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

7) How do I join the waitlist?

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

Security, Risk & Transparency

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

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

Conclusion

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

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

Top Crypto Index for Hands-Off Portfolios (2025)

Token Metrics Team
4
MIN

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

Opening Hook

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

What is a Crypto Index?

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

How Top Crypto Indexes Function in 2025

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

Benefits of Using a Crypto Index Over DIY Approaches

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

Getting Early Access to Top Crypto Indexes

To gain early exposure, follow these steps:

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

Is This Index Suitable for You?

Consider your investment style:

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

FAQs

What is a top crypto index?

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

How often does the index rebalance?

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

What prompts the move to stablecoins?

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

Can I fund with USDC or fiat?

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

Is the wallet custodial?

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

How are fees shown?

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

How do I join the waitlist?

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

Disclaimer

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

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