Latest Crypto News, Blogs, Articles & Stories

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 cURL request is right there in the top right of the API Reference. Grab it and start tapping into the potential!

‍

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

Live Demo & Templates

Moonshots Screener (Dashboard): A discover tab that ranks tokens by TM Grade and shows the latest Bullish tags and reasons.
Alert Bot (Discord/Telegram): DM when a new token enters the Moonshots list or when the signal flips; include S/R levels for SL/TP.
Watchlist Widget (Product): One-click “Follow” on Moonshots; show Quantmetrics for risk and a Price Prediction range for scenario planning.

Fork a screener or alerting template, plug your key, and deploy. Validate your environment with Hello-TM. When you scale users or need higher limits, compare 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 lets users 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 (where available) to smooth traffic and avoid duplicates. Always make notifications idempotent.

Production Checklist

Rate limits: Respect plan caps; batch and throttle in clients/workers.
Retries & backoff: Exponential backoff with jitter on 429/5xx; capture request IDs.
Idempotency: De-dup alerts and downstream actions (e.g., don’t re-DM on retries).
Caching: Memory/Redis/KV with short TTLs; pre-warm during peak hours.
Batching: Fetch in pages (e.g., limit + offset if supported); parallelize within limits.
Sorting & tags: Sort primarily by tm_grade or composite; surface reason tags to build trust.
Observability: Track p95/p99, error rates, and alert delivery success; log variant versions.
Security: Store keys in a secrets manager; rotate regularly.

Use Cases & Patterns

Bot Builder (Headless):
- Universe filter: trade only tokens appearing in Moonshots with tm_grade ≥ X.
- Timing: 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 integrating 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.
- “New this week” and “Graduated” sections for churn/entry dynamics.
Community/Content:
- Weekly digest: new entrants, upgrades, and notable exits—link back to your product pages.

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 alerts bot today.
Watch the demo: VIDEO_URL_HERE
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.

‍

Token Metrics API

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

Sam Monac

5 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.
Endpoints to add next: /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

Live Demo & Templates

SL/TP Alerts Bot (Telegram/Discord): Ping when price approaches or touches a level; include buffer %, link back to your app.
Token Page Levels Panel (Dashboard): Show nearest support/resistance with strength badges; color the latest candle by zone.
TradingView Overlay Companion: Use levels to annotate charts and label potential entries/exits driven by Trading Signals.

Kick off with our quickstarts—fork a bot or dashboard template, plug your key, and deploy. Confirm your environment by Running Hello-TM. When you’re scaling or need webhooks/limits, review API plans.

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: VIDEO_URL_HERE
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.

‍

Token Metrics API

Quantmetrics API: Measure Risk & Reward in One Call

Sam Monac

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.
Endpoints to add next: /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 pro.

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.

‍

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

Live Demo & Templates

Risk Snapshot Widget (Dashboard): Show Sharpe, Sortino, volatility, and drawdown per token; color-code by thresholds.
Allocator Screener: Rank tokens by Sharpe, filter by drawdown < X%, and surface a top-N list.
Bot Sizer: Use Quantmetrics to scale position sizes (e.g., lower risk = larger size), combined with Trading Signals for entries/exits.

Kick off from quickstarts in the docs—fork a dashboard or screener template, plug your key, and deploy in minutes. Validate your environment with Run Hello-TM; when you need more throughput or webhooks, compare API plans.

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.

‍

Best Long-Term Crypto Picks for the 2025 Bull Market

In a market full of noise, value investors are asking one critical question: what should I hold long-term?

Here are some of our top picks, based on fundamentals, traction, and longevity.

1. Grass – AI + Revenue

Grass stands out in the AI space. With over $15M in revenue from its browser extension and data resale model, it’s one of the few protocols generating real-world value. It’s a top AI blue chip we’re confident holding over multiple cycles.

2. Peaq – DePIN Infrastructure

Peaq positions itself as the Chainlink of decentralized physical infrastructure. While still under $1B FDV, it’s been consistent in development and narrative strength.

3. Sui – Consumer-Focused L1

Sui isn’t just another L1. Between Phantom wallet support, SuiPlay hardware, and growing dApp adoption, Sui has the elements to outpace older chains like Solana or Avalanche in user growth.

4. Parcl – Real Estate Derivatives

For exposure to real-world assets, Parcl offers a compelling play. Their UI is retail-friendly, listings are strong, and the market cap remains under $150M. This is one to watch as RWA adoption grows.

5. BitTensor – AI Infrastructure Layer

With a unique emission model and growing subnet usage, BitTensor remains the top AI infra token. Some even compare its long-term potential to early Bitcoin.

Bonus Mentions:

Uniswap / Aave / Compound – battle-tested DeFi with upcoming fee-sharing upgrades
Chainlink – oracle king still dominating infrastructure
Hyperliquid – sustainable revenue, EVM chain, and perps dominance

Final Words

The 2025 bull market will create noise—but also opportunity. These tokens aren’t just trendy—they’re infrastructure plays with real utility and upside. Allocate accordingly.

Research

SUI Price Analysis: Short-Term Momentum Builds Amid Long-Term Uncertainty

SUI, a rising Layer 1 blockchain network, has been gaining traction recently—and Token Metrics' AI-powered tools were ahead of the curve in identifying its bullish momentum. On April 24th, the Token Metrics Trader Grade issued a bullish signal for SUI, and since then, the price has climbed nearly 22%, confirming the strength of the short-term trend.

But there’s more to this move than just price action. Token Metrics offers a unique perspective by analyzing both short-term and long-term signals through its proprietary Trader Grade and Investor Grade ratings. These grades offer a layered view of an asset's potential by using machine learning to evaluate over 80 on-chain, off-chain, and technical indicators.

Token Metrics AI: Bullish for Traders, Bearish for Investors

As of the latest data, SUI holds a “Strong Buy” rating on the Token Metrics Trader Grade, signaling powerful momentum for short-term traders. This suggests that swing traders and scalpers could benefit from the current trend, particularly if the price can decisively break through the immediate resistance at $4.25.

However, the Investor Grade tells a different story. While the short-term outlook is bullish, the long-term view remains cautious. The Investor Grade currently recommends a Sell, suggesting SUI may face challenges in sustaining gains over a multi-month time frame. This divergence highlights the importance of aligning your investment strategy with the appropriate time horizon.

TVL Growth Validates SUI’s Ecosystem Expansion

Beyond AI ratings, Token Metrics also factors in fundamental metrics—and one of the strongest tailwinds for SUI right now is its rapidly growing Total Value Locked (TVL). According to DeFi Llama, SUI’s TVL has surged to a new all-time high of $2.11 billion, cementing its position as the 8th largest blockchain by TVL.

This growth in TVL indicates that more capital is being deployed in the SUI ecosystem. It reflects increased user engagement with decentralized applications (dApps) on the network and signals rising confidence among DeFi participants. From a fundamental standpoint, this bodes well for SUI’s long-term utility—even if its price action hasn't yet caught up to the full extent of this growth.

Key Technical Levels: Breakout or Pullback?

From a technical analysis standpoint, SUI is now testing a major resistance at $4.25. A confirmed breakout above this level could send the asset surging toward new all-time highs, potentially igniting a new wave of momentum-driven buying.

However, if the price fails to breach this resistance zone, a pullback is likely. In that scenario, the $3.00 to $3.20 range should act as a solid support area. These levels will be critical for traders to monitor, and Token Metrics' real-time alerts can help users stay on top of such breakouts or reversals.

Trading Smarter with Token Metrics

Whether you're trading short-term breakouts or evaluating long-term positions, Token Metrics helps crypto investors make data-driven decisions. The platform’s dual-grade system—Trader Grade for momentum-based insights and Investor Grade for long-term trends—equips users with nuanced information to act with confidence.

Moreover, Token Metrics integrates this data directly into its AI Trading Agent and custom alerts system, ensuring you never miss an opportunity or warning signal. With instant access to heatmaps, technical breakdowns, and AI-based predictions, SUI traders can manage risk more efficiently and capitalize on emerging trends before the rest of the market catches on.

Final Thoughts

SUI is showing promising signs, especially with its network fundamentals improving rapidly and short-term momentum turning bullish. Still, the cautious long-term outlook suggests that traders should proceed with a balanced approach—watching both breakout levels and support zones, while leveraging tools like Token Metrics for real-time decision-making support.

As always, combining AI-driven insights with strong risk management is the key to navigating volatile markets like crypto. SUI is one to watch—and Token Metrics helps you stay one step ahead.

Announcements

AI Tokens and DeFi 2.0: Where Smart Capital is Flowing

The crypto market is cyclical—not just in price, but in narrative. In recent months, attention has rotated from AI to DeFi, creating new opportunities for savvy investors. Let’s break down the trends.

AI Momentum Remains Strong

Projects like Vader AI, BitTensor, and Grass continue to dominate the conversation. Vader AI, part of the Virtua ecosystem, gained momentum from staking programs and Genesis Launchpad allocations. Grass, a data-layer AI protocol, claims $15M+ in revenue and recently flipped bullish on technical indicators.

BitTensor remains the leading infrastructure play in the AI space, drawing parallels to Bitcoin in its community enthusiasm and decentralization ethos. It has rebounded over 150% from its lows and is showing resilience in the current market cycle.

DeFi’s Comeback: Aerodrome and Beyond

Meanwhile, DeFi is showing signs of resurgence. Aerodrome, a DEX on the Base chain, is gaining traction through strong liquidity incentives and revenue-sharing mechanisms. Its user incentives echo the early days of Curve or Uniswap but on a chain optimized for scalability.

Virtua’s staking model is also driving a hybrid DeFi/AI strategy, blurring the lines between token utility, participation, and value capture.

Narrative Rotation: What It Means

Crypto narratives are rarely zero-sum. What we’re seeing now is a healthy diversification: AI remains dominant, but DeFi is catching a second wind. For investors, this means exploring tokens that sit at the intersection—offering strong tech, compelling incentives, and infrastructure integrations.

Closing Thoughts

Whether you’re riding the AI wave or positioning for the DeFi rebound, it’s clear that smart capital is flowing into ecosystems with tangible traction. Watch the flows, track the signals, and always be ready to pivot.

Track the Trends with Token Metrics

Token Metrics is your edge in navigating the ever-shifting landscape of crypto narratives. Our AI-powered research platform helps you spot bullish trends early, evaluate project fundamentals, and make data-driven investment decisions. Whether you're interested in AI tokens, DeFi protocols, or hybrid plays, Token Metrics provides real-time signals, technical grades, and curated indices to guide your next move.

Explore the platform at www.tokenmetrics.com and discover where smart capital is heading next.

Research

How Hyperliquid is Redefining Decentralized Perpetuals in 2025

While most exchanges compete on liquidity or UI, Hyperliquid is rewriting the rules entirely.
This decentralized perps exchange has not only survived the bear market—it’s thriving. Backed by real revenue, a growing user base, and a unique listing model, Hyperliquid is emerging as the “Uniswap of Perps.”

The Reverse Auction Listing System

Hyperliquid introduces a novel reverse auction system for listing tokens. Bidders compete for tickers, with starting prices set at 2x the previous auction. Some tickers have fetched over $1 million, with the fees used for buybacks and burns—driving long-term value to the ecosystem.

This model isn’t just a gimmick. It introduces scarcity and gamification into token listings—something no other exchange is doing at this level.

Sustainable Revenue and Strong UX

Unlike many DEXs, Hyperliquid generates consistent trading fees, even in sideways markets. Its EVM-compatible L1 is coming soon, which could further cement it as the go-to perps exchange for serious traders.

Product-Market Fit in Action

In a space where hype often outpaces adoption, Hyperliquid offers both. It's not trying to be first—it's trying to be the best. The community listing process, upcoming L1, and high trading volumes all suggest it’s built for long-term relevance.

Smarter Trading with Token Metrics

To navigate emerging platforms like Hyperliquid, sophisticated analytics are key. Token Metrics provides a powerful suite of tools—AI-driven trading signals, token grades, on-chain data, and market indicators—to help traders make confident, data-backed decisions. Whether you're evaluating new token listings, monitoring market sentiment, or comparing DEX performance, Token Metrics equips you with everything you need to stay ahead of the curve.

Final Take

Hyperliquid is more than just another DEX—it’s a case study in how to build sustainable tokenomics and community alignment. If you’re looking for the next big infrastructure play in trading, don’t sleep on this one. And if you want to trade smarter, platforms like Token Metrics can be your secret weapon in decoding the market's next moves.

Announcements

Is Sui the Next Solana? A Deep Dive into L1 Competitors

As the Layer 1 (L1) narrative continues to evolve, one blockchain has rapidly emerged as a serious contender to Solana’s throne: Sui. With growing infrastructure support and a strong focus on user experience, Sui is positioning itself as one of the most compelling L1 platforms in 2025.

Why the Sui Hype?

Sui has been gaining traction due to key integrations across the crypto ecosystem. Phantom wallet, known for its Solana roots, recently announced Sui support—putting Sui directly in the hands of thousands of users. Similarly, Axelar and LI.FI, major players in bridging and routing, have added Sui to their networks.

These integrations are not just symbolic; they’re strategic. By positioning itself as a supported chain across EVM-native infrastructure, Sui becomes more accessible and developer-friendly—critical factors for long-term adoption.

The SuiPlay Effect

Sui is also expanding beyond traditional DeFi and into consumer crypto. SuiPlay, a gaming-focused hardware device launched earlier this year, sold out in days. It marks a shift in L1 differentiation—no longer just about TPS (transactions per second), but about vertical-specific UX.

The gaming angle aligns with Sui’s broader push toward being the “consumer chain,” capturing not only dApp developers but also everyday users seeking smoother, gamified blockchain experiences.

Performance and Market Sentiment

Price action also favors Sui. While Solana bounced impressively from its post-FTX lows, Sui is now showing similar potential—with infrastructure support, developer traction, and consumer-facing products driving upward momentum.

The market seems to agree. Multiple indicators suggest Sui could outperform both Solana and Ethereum in the upcoming cycle. Its lower starting valuation also offers more upside, especially for value investors looking for the “next Solana.”

Final Thoughts

While it’s too early to crown Sui the definitive winner, all signs point to a strong L1 contender. Between integrations, product expansion, and market sentiment, Sui is carving a path worth watching—and potentially investing in.

Track Sui’s Momentum with Token Metrics

At Token Metrics, our AI-powered analytics tools help you track emerging L1 narratives like Sui in real time. From grade-based investment ratings and on-chain indicators to AI-generated bullish/bearish signals and technical scorecards, Token Metrics gives you the data you need to make smarter decisions. Explore Sui’s performance, compare it to other L1s, and stay ahead of the next market rotation—all in one dashboard.

Announcements

Launch Coin and the Rise of Internet Capital Markets

3 min