Research

What Are the Top DeFi Protocols? Complete 2025 Guide to Decentralized Finance

Decentralized Finance (DeFi) has revolutionized how we interact with money, eliminating traditional intermediaries and creating a permissionless financial system accessible to anyone with an internet connection. As we navigate through 2025, the DeFi ecosystem has matured dramatically, with innovative protocols competing for dominance while collectively managing billions of dollars in Total Value Locked (TVL).
Talha Ahmad
5 min
MIN

Decentralized Finance (DeFi) has revolutionized how we interact with money, eliminating traditional intermediaries and creating a permissionless financial system accessible to anyone with an internet connection. As we navigate through 2025, the DeFi ecosystem has matured dramatically, with innovative protocols competing for dominance while collectively managing billions of dollars in Total Value Locked (TVL). For investors and traders seeking to capitalize on DeFi opportunities, understanding the leading protocols is essential—particularly when paired with sophisticated analytics platforms like Token Metrics that provide the intelligence needed to navigate this complex landscape profitably. This comprehensive guide explores the top DeFi protocols reshaping finance and how to evaluate them for investment opportunities.

Understanding DeFi Protocols and Total Value Locked

Before diving into specific protocols, it's important to understand what DeFi protocols are and how we measure their success. A DeFi protocol is a collection of smart contracts, code, and governance rules that automate financial services on blockchain networks without requiring centralized intermediaries. These protocols enable lending, borrowing, trading, staking, and yield generation—all executed through transparent, auditable code rather than traditional financial institutions.

Total Value Locked (TVL) serves as the primary metric for assessing DeFi protocol success. TVL quantifies the dollar value of all digital assets—cryptocurrencies, stablecoins, and tokenized assets—that users have deposited into a protocol's smart contracts for various purposes including lending, staking, and liquidity provision. A higher TVL generally indicates greater user confidence, adoption, and capital efficiency, making it the standard benchmark for comparing DeFi platforms.

Calculating TVL involves listing every asset held in a protocol's on-chain contracts, fetching real-time USD prices for each asset via reliable market APIs like CoinGecko or Chainlink oracles, multiplying each asset's contract balance by its current price, and summing these values to obtain the protocol's total TVL. Platforms like DefiLlama provide these calculations in real-time, offering up-to-the-second snapshots of DeFi's economic activity across the entire ecosystem.

The Top DeFi Protocols of 2025

1. Lido: Liquid Staking Dominance

Lido stands as the undisputed leader in DeFi by TVL, with over $10.2 billion locked in the protocol as of mid-2025. This pioneering liquid staking platform enables users to stake their Ethereum, Polygon, and Solana tokens while maintaining liquidity—solving one of crypto's most significant problems.

Traditional staking requires locking assets for extended periods, sacrificing liquidity and opportunity cost. Lido revolutionized this model by issuing derivative tokens like stETH (staked Ethereum) that represent staked assets while remaining tradeable and usable across DeFi. Users can stake ETH through Lido, receive stETH in return, and continue earning staking rewards while simultaneously using their stETH for lending, providing liquidity, or other DeFi activities.

This innovation has made Lido indispensable for ETH holders wanting to earn staking yields (currently around 3-4% annually) without sacrificing capital flexibility. The protocol's straightforward process—connect wallet, select cryptocurrency, specify staking amount—combined with its battle-tested security has established Lido as the backbone of Ethereum's staking infrastructure.

2. Aave: Premier Lending and Borrowing Protocol

Aave ranks among the top DeFi protocols with its sophisticated lending and borrowing marketplace. This non-custodial protocol allows users to lend crypto assets to earn interest or borrow against collateral—all executed through smart contracts without intermediaries.

What distinguishes Aave is its innovation in lending mechanics. The protocol pioneered "flash loans"—uncollateralized loans that must be borrowed and repaid within a single blockchain transaction. While this sounds risky, the atomic nature of blockchain transactions means that if the loan isn't repaid, the entire transaction reverts, eliminating default risk. Flash loans enable sophisticated arbitrage strategies and capital-efficient operations previously impossible in traditional finance.

Aave supports lending and borrowing across 15+ cryptocurrencies on multiple blockchain networks including Ethereum, Polygon, Avalanche, and Arbitrum. Users can choose between stable and variable interest rates, providing flexibility based on market conditions and risk preferences. The protocol's AAVE governance token empowers holders to vote on protocol upgrades, risk parameters, and new market listings, ensuring decentralized decision-making.

3. EigenLayer: Restaking Innovation

EigenLayer has emerged as a transformative force in DeFi, introducing the concept of "restaking"—allowing users to use their staked ETH to secure additional networks and protocols simultaneously, earning multiple yield streams from a single staked asset. This capital efficiency innovation has propelled EigenLayer into the upper echelon of DeFi protocols by TVL.

The protocol essentially creates a marketplace where stakers can opt-in to validate for new blockchain networks, oracle services, data availability layers, and other infrastructure that requires economic security. By leveraging Ethereum's substantial staked capital, EigenLayer enables emerging protocols to bootstrap security without requiring massive token distributions or new validator sets.

This innovation addresses one of crypto's fundamental challenges: capital fragmentation. Rather than every new protocol requiring separate staking mechanisms and validator networks, EigenLayer allows reuse of existing staked capital, improving overall ecosystem efficiency while providing stakers with enhanced yields.

4. Uniswap: Decentralized Exchange Pioneer

Uniswap revolutionized cryptocurrency trading by introducing the Automated Market Maker (AMM) model, eliminating traditional order books in favor of liquidity pools. As the largest decentralized exchange (DEX) by volume, Uniswap processes billions in daily trading volume across thousands of token pairs.

The protocol's latest iteration, Uniswap V3, introduced concentrated liquidity—allowing liquidity providers to allocate capital within specific price ranges rather than across the entire price curve. This capital efficiency improvement enables providers to earn higher fees on the same capital or provide equal liquidity with less capital, dramatically improving returns.

Uniswap's permissionless nature means anyone can list tokens without gatekeepers or approval processes, fostering a truly open financial marketplace. The protocol charges a small fee on each swap (typically 0.05% to 1% depending on the pool), with fees distributed to liquidity providers proportional to their contribution. This simple yet powerful model has processed trillions in cumulative volume since launch.

5. MakerDAO (Sky): Decentralized Stablecoin Issuer

MakerDAO, recently rebranded as Sky, operates the DAI stablecoin—the largest decentralized stablecoin by market capitalization. Unlike centralized stablecoins like USDC or USDT that rely on traditional banking relationships and fiat reserves, DAI is fully collateralized by crypto assets locked in Maker Vaults and governed entirely by smart contracts.

Users generate DAI by depositing collateral (typically ETH or other approved assets) into Maker Vaults. The collateralization ratio must exceed 150% (meaning $150 of collateral generates $100 of DAI), providing safety buffers against price volatility. If collateral value drops below required ratios, the protocol automatically liquidates positions to maintain DAI's dollar peg.

The MKR governance token enables holders to vote on critical parameters including collateral types, stability fees, liquidation ratios, and protocol upgrades. This decentralized governance ensures no single entity controls the stablecoin, making DAI resistant to censorship and regulatory capture—a critical property as governments increase scrutiny of centralized stablecoins.

6. Compound: Algorithmic Interest Rate Protocol

Compound pioneered algorithmic interest rate markets in DeFi, creating a protocol where interest rates adjust automatically based on supply and demand for each asset. When borrowing demand increases, rates rise to incentivize more lending; when supply exceeds demand, rates fall to encourage borrowing—all executed through transparent smart contracts.

The protocol operates on Ethereum, allowing seamless integration with numerous decentralized applications and wallets. Compound's governance operates through COMP tokens, empowering holders to propose and vote on protocol changes, ensuring truly decentralized decision-making.

Users deposit crypto assets into Compound to earn interest from borrowers, receiving cTokens (like cETH or cUSDC) that represent their deposit plus accrued interest. These cTokens can be used across DeFi—as collateral, for trading, or in other protocols—while continuously earning interest, creating capital efficiency similar to Lido's liquid staking model.

7. Curve Finance: Stablecoin Trading Specialist

Curve Finance dominates stablecoin trading with its specialized AMM optimized for low-slippage swaps between similarly-valued assets. While Uniswap excels at trading volatile assets, Curve's algorithms ensure minimal price impact when swapping between stablecoins like USDC, USDT, DAI, and FRAX—often achieving slippage under 0.01% on large trades.

This specialization makes Curve indispensable for DeFi protocols that need efficient stablecoin conversions, treasury management, or large-volume swaps. The protocol's liquidity pools also supply capital to other DeFi protocols like Compound, enabling users to earn multiple yield streams simultaneously—trading fees plus lending interest.

Curve's unique "vote-escrowed" governance model (veCRV) rewards long-term commitment. Users can lock CRV tokens for periods between one week and four years, receiving veCRV that provides voting power, boosted pool rewards (up to 2.5x), and fee rebates. This mechanism aligns incentives, encouraging governance participants to consider long-term protocol health rather than short-term extraction.

8. PancakeSwap: Binance Smart Chain Leader

PancakeSwap emerged as the dominant DEX on Binance Smart Chain (BSC), offering Uniswap-like functionality with significantly lower fees and faster transaction times. The protocol has become one of the most popular DEXs across all chains thanks to its user-friendly interface and extensive farming and staking options.

BSC's lower fees (often under $0.50 per transaction versus $5-50 on Ethereum during congestion) make PancakeSwap particularly attractive for smaller traders and retail users priced out of Ethereum-based protocols. The platform offers yield farming, liquidity provision, staking, and even NFT marketplaces and prediction markets, creating a comprehensive DeFi ecosystem on a single platform.

Token Metrics: Essential Intelligence for DeFi Investing

While understanding top DeFi protocols is crucial, successfully investing in this space requires sophisticated analytics and real-time intelligence. This is where Token Metrics establishes itself as the premier AI-powered crypto trading and analytics platform, providing the insights needed to navigate DeFi profitably.

Comprehensive DeFi Protocol Analysis

Token Metrics applies advanced AI and machine learning to analyze thousands of cryptocurrencies, including governance tokens from major DeFi protocols like AAVE, UNI, COMP, CRV, and emerging protocols. The platform assigns Trader Grades (0-100) for short-term opportunities and Investor Grades for long-term potential, helping users identify which DeFi tokens offer the best risk-adjusted returns.

For DeFi investors, this analysis is invaluable. Rather than manually researching protocol TVL, revenue generation, governance activity, competitive positioning, and tokenomics across dozens of protocols, Token Metrics consolidates this intelligence into actionable scores and signals. The platform's AI processes on-chain metrics, social sentiment, developer activity, and market dynamics to surface opportunities before they become obvious to the broader market.

Real-Time DeFi Market Monitoring

DeFi markets move rapidly, with protocol TVL, yields, and token prices changing constantly based on market conditions, governance decisions, and competitive dynamics. Token Metrics provides real-time monitoring and alerts, notifying users of significant developments including TVL changes signaling capital flows, governance proposals affecting protocol economics, yield opportunities across lending markets, and emerging protocols gaining traction.

This real-time intelligence enables traders to capitalize on opportunities as they emerge rather than discovering them after price appreciation has already occurred. For example, when a major protocol announces a governance vote to change fee structures or token emissions, Token Metrics users receive alerts enabling them to evaluate implications and position accordingly before the broader market reacts.

AI-Powered Portfolio Construction

Token Metrics offers AI-managed indices specifically focused on DeFi sectors, providing diversified exposure to leading protocols while automatically rebalancing based on market conditions. These indices eliminate the need for constant manual rebalancing while ensuring exposure to the highest-quality DeFi tokens identified by Token Metrics' AI algorithms.

For investors seeking DeFi exposure without picking individual protocols, these indices provide professional-grade portfolio management with transparent methodologies and real-time performance tracking. The platform's algorithms consider factors including protocol fundamentals, token valuations, market momentum, and risk metrics to construct optimal DeFi portfolios.

Integrated Trading Execution

In March 2025, Token Metrics launched integrated on-chain trading, enabling users to research DeFi protocols using AI ratings and execute trades directly on the platform through multi-chain swaps—typically completing the entire research-to-execution process in under two minutes.

This integration is particularly valuable for DeFi trading, where opportunities can be fleeting and multiple chains require different wallet configurations. Token Metrics' unified interface simplifies executing trades across Ethereum, Polygon, Arbitrum, and other networks where major DeFi protocols operate, eliminating friction that often causes traders to miss optimal entry points.

Risk Assessment and Security Analysis

DeFi protocols carry unique risks including smart contract vulnerabilities, governance attacks, economic exploits, and composability risks when protocols interact. Token Metrics incorporates security assessments and risk analysis into its protocol evaluations, helping users identify potential red flags before committing capital.

The platform tracks smart contract audits, past security incidents, insurance coverage availability, and community governance health—providing a comprehensive risk profile alongside return potential. This holistic analysis ensures users understand not just upside potential but downside risks when investing in DeFi protocols.

Evaluating DeFi Protocols for Investment

When researching DeFi protocols for investment opportunities, several factors merit consideration beyond simple TVL rankings:

Revenue Generation: Protocols that generate sustainable revenue through fees have demonstrated product-market fit and possess resources for ongoing development. Analyze fee revenue relative to token market cap to identify undervalued protocols.

Token Utility: Strong tokenomics include governance rights, fee sharing, staking rewards, or other utility that creates sustainable demand for the token beyond speculation.

Developer Activity: Active development signals ongoing innovation and protocol improvement. Check GitHub commits, proposal activity, and upgrade implementations.

Competitive Positioning: Understand each protocol's unique value proposition and whether network effects, liquidity advantages, or technical innovations create defensible moats against competition.

Regulatory Risk: DeFi protocols face evolving regulatory scrutiny. Consider jurisdictional risks, compliance measures, and decentralization levels that affect regulatory classification.

The Future of DeFi in 2025 and Beyond

The DeFi landscape continues evolving rapidly with several trends shaping the future:

AI Integration: Artificial intelligence is being integrated into DeFi protocols to enhance trading automation, risk management, and yield optimization—creating more sophisticated and accessible financial products.

Cross-Chain Interoperability: Bridges and cross-chain protocols enable assets to move seamlessly between networks, allowing users to access the best yields and features regardless of blockchain.

Real-World Asset Tokenization: DeFi protocols are increasingly integrating real-world assets like treasuries, real estate, and commodities, bridging traditional and decentralized finance.

Institutional Adoption: Major financial institutions are exploring DeFi protocols for settlements, lending, and asset management, bringing substantial capital and legitimacy to the space.

Conclusion

The top DeFi protocols of 2025—led by Lido, Aave, EigenLayer, Uniswap, MakerDAO, Compound, Curve, and PancakeSwap—represent the cutting edge of financial innovation, collectively managing tens of billions in TVL while providing services ranging from lending and trading to staking and stablecoin issuance. These protocols have demonstrated security, innovation, and product-market fit that positions them as the infrastructure layer for decentralized finance.

For investors seeking to capitalize on DeFi opportunities, success requires more than simply buying governance tokens from top protocols. It demands comprehensive market intelligence, real-time monitoring, risk assessment, and strategic execution—capabilities that Token Metrics provides as the premier AI-powered crypto trading and analytics platform. By combining Token Metrics' sophisticated analytics with deep understanding of DeFi protocol fundamentals, investors can identify opportunities, manage risks, and execute strategies that generate superior returns in the rapidly evolving world of decentralized finance.

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Token Metrics Team
Token Metrics Team

Recent Posts

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

  • A minimal script that fetches Moonshots via /v2/moonshots (optionally filter by grade/signal/limit).
  • A UI pattern to render symbol, TM Grade, signal, reason/tags, and timestamp—plus a link to token details.
  • Optional one-liner curl to smoke-test your key.
  • Endpoints to add next: /v2/tm-grade (one-score ranking), /v2/trading-signals, /v2/hourly-trading-signals (timing), /v2/resistance-support (stops/targets), /v2/quantmetrics (risk sizing), /v2/price-prediction (scenario ranges).

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!

  1. Get API Key — generate a key and start free.
  2. Run Hello-TM — verify your first successful call.
  3. Clone a Template — deploy a screener or alerts bot today.
  4. Compare plans: Scale confidently with API plans.

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

  • Respect plan caps; batch and throttle in clients/workers.
  • Use exponential backoff with jitter on 429/5xx; capture request IDs.
  • De-duplicate alerts and downstream actions.
  • Use memory/Redis with short TTLs; pre-warm during peak hours.
  • Fetch in pages if supported; parallelize within limits.
  • Sort primarily by tm_grade or composite; surface reason tags to build trust.
  • Track p95/p99, error rates, and alert delivery success; log variants.
  • Store keys securely; rotate regularly.

Use Cases & Patterns

  • Bot Builder (Headless): Filter for tokens appearing in Moonshots with tm_grade ≥ X. Confirm entry with /v2/trading-signals; place stops/targets with /v2/resistance-support; size via Quantmetrics.
  • Dashboard Builder (Product): Moonshots tab with badges (Bullish, Grade 80+, Momentum). Token detail page with TM Grade, Signals, S/R, and Predictions for a complete decision loop.
  • Screener Maker (Lightweight Tools): Top-N list with Follow/alert toggles; export CSV. Include “New this week” and “Graduated” sections for churn/entry dynamics.
  • Community/Content: Weekly digest highlighting new entrants, upgrades, and notable exits—link back to your product pages.

Next Steps

  1. Get API Key — generate a key and start free.
  2. Run Hello-TM — verify your first successful call.
  3. Clone a Template — deploy a screener or alerts bot today.
  4. Compare plans: Scale confidently with API plans.

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 Key • Run Hello-TM • Clone a Template

How It Works (Under the Hood)

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

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

Production Checklist

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

Use Cases & Patterns

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

Next Steps

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

FAQs

1) What does the Support & Resistance API return?

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

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

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

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

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

4) Can I combine levels with other endpoints?

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

5) Which timeframe should I use?

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

6) Do you provide SDKs or examples?

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

7) Pricing, limits, and enterprise SLAs?

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

Disclaimer

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

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