
Every hour you wait is a signal you miss.

Stop Guessing, Start Trading: The Token Metrics API Advantage
Big news: We’re cranking up the heat on AI-driven crypto analytics with the launch of the Token Metrics API and our official SDK (Software Development Kit). This isn’t just an upgrade – it's a quantum leap, giving traders, hedge funds, developers, and institutions direct access to cutting-edge market intelligence, trading signals, and predictive analytics.
Crypto markets move fast, and having real-time, AI-powered insights can be the difference between catching the next big trend or getting left behind. Until now, traders and quants have been wrestling with scattered data, delayed reporting, and a lack of truly predictive analytics. Not anymore.
The Token Metrics API delivers 32+ high-performance endpoints packed with powerful AI-driven insights right into your lap, including:
- Trading Signals: AI-driven buy/sell recommendations based on real-time market conditions.
- Investor & Trader Grades: Our proprietary risk-adjusted scoring for assessing crypto assets.
- Price Predictions: Machine learning-powered forecasts for multiple time frames.
- Sentiment Analysis: Aggregated insights from social media, news, and market data.
- Market Indicators: Advanced metrics, including correlation analysis, volatility trends, and macro-level market insights.
Getting started with the Token Metrics API is simple:
- Sign up at www.tokenmetrics.com/api.
- Generate an API key and explore sample requests.
- Choose a tier–start with 50 free API calls/month, or stake TMAI tokens for premium access.
- Optionally–download the SDK, install it for your preferred programming language, and follow the provided setup guide.
At Token Metrics, we believe data should be decentralized, predictive, and actionable.
The Token Metrics API & SDK bring next-gen AI-powered crypto intelligence to anyone looking to trade smarter, build better, and stay ahead of the curve. With our official SDK, developers can plug these insights into their own trading bots, dashboards, and research tools – no need to reinvent the wheel.
Support and Resistance API: Auto-Calculate Smart Levels for Better Trades
Most traders still draw lines by hand in TradingView. The support and resistance API from Token Metrics auto-calculates clean support and resistance levels from one request, so your dashboard, bot, or alerts can react instantly. In minutes, you’ll call /v2/resistance-support, render actionable levels for any token, and wire them into stops, targets, or notifications. Start by grabbing your key on Get API Key, then Run Hello-TM and Clone a Template to ship a production-ready feature fast.
What You’ll Build in 2 Minutes
A minimal script that fetches Support/Resistance via /v2/resistance-support for a symbol (e.g., BTC, SOL).
- A one-liner curl to smoke-test your key.
- A UI pattern to display nearest support, nearest resistance, level strength, and last updated time.
Next Endpoints to add
- /v2/trading-signals (entries/exits)
- /v2/hourly-trading-signals (intraday updates)
- /v2/tm-grade (single-score context)
- /v2/quantmetrics (risk/return framing)
Why This Matters
Precision beats guesswork. Hand-drawn lines are subjective and slow. The support and resistance API standardizes levels across assets and timeframes, enabling deterministic stops and take-profits your users (and bots) can trust.
Production-ready by design. A simple REST shape, predictable latency, and clear semantics let you add levels to token pages, automate SL/TP alerts, and build rule-based execution with minimal glue code.
Where to Find
Need the Support and Resistance data? The cURL request for it is in the top right of the API Reference for quick access.
👉 Keep momentum: Get API Key • Run Hello-TM • Clone a Template
How It Works (Under the Hood)
The Support/Resistance endpoint analyzes recent price structure to produce discrete levels above and below current price, along with strength indicators you can use for priority and styling. Query /v2/resistance-support?symbol=<ASSET>&timeframe=<HORIZON> to receive arrays of level objects and timestamps.
Polling vs webhooks. For dashboards, short-TTL caching and batched fetches keep pages snappy. For bots and alerts, use queued jobs or webhooks (where applicable) to avoid noisy, bursty polling—especially around market opens and major events.
Production Checklist
- Rate limits: Respect plan caps; add client-side throttling.
- Retries/backoff: Exponential backoff with jitter for 429/5xx; log failures.
- Idempotency: Make alerting and order logic idempotent to prevent duplicates.
- Caching: Memory/Redis/KV with short TTLs; pre-warm top symbols.
- Batching: Fetch multiple assets per cycle; parallelize within rate limits.
- Threshold logic: Add %-of-price buffers (e.g., alert at 0.3–0.5% from level).
- Error catalog: Map common 4xx/5xx to actionable user guidance; keep request IDs.
- Observability: Track p95/p99; measure alert precision (touch vs approach).
- Security: Store API keys in a secrets manager; rotate regularly.
Use Cases & Patterns
- Bot Builder (Headless): Use nearest support for stop placement and nearest resistance for profit targets. Combine with /v2/trading-signals for entries/exits and size via Quantmetrics (volatility, drawdown).
- Dashboard Builder (Product): Add a Levels widget to token pages; badge strength (e.g., High/Med/Low) and show last touch time. Color the price region (below support, between levels, above resistance) for instant context.
- Screener Maker (Lightweight Tools): “Close to level” sort: highlight tokens within X% of a strong level. Toggle alerts for approach vs breakout events.
- Risk Management: Create policy rules like “no new long if price is within 0.2% of strong resistance.” Export daily level snapshots for audit/compliance.
Next Steps
- Get API Key — generate a key and start free.
- Run Hello-TM — verify your first successful call.
- Clone a Template — deploy a levels panel or alerts bot today.
- Watch the demo: Compare plans: Scale confidently with API plans.
FAQs
1) What does the Support & Resistance API return?
A JSON payload with arrays of support and resistance levels for a symbol (and optional timeframe), each with a price and strength indicator, plus an update timestamp.
2) How timely are the levels? What are the latency/SLOs?
The endpoint targets predictable latency suitable for dashboards and alerts. Use short-TTL caching for UIs, and queued jobs or webhooks for alerting to smooth traffic.
3) How do I trigger alerts or trades from levels?
Common patterns: alert when price is within X% of a level, touches a level, or breaks beyond with confirmation. Always make downstream actions idempotent and respect rate limits.
4) Can I combine levels with other endpoints?
Yes—pair with /v2/trading-signals for timing, /v2/tm-grade for quality context, and /v2/quantmetrics for risk sizing. This yields a complete decide-plan-execute loop.
5) Which timeframe should I use?
Intraday bots prefer shorter horizons; swing/position dashboards use daily or higher-timeframe levels. Offer a timeframe toggle and cache results per setting.
6) Do you provide SDKs or examples?
Use the REST snippets above (JS/Python). The docs include quickstarts, Postman collections, and templates—start with Run Hello-TM.
7) Pricing, limits, and enterprise SLAs?
Begin free and scale as you grow. See API plans for rate limits and enterprise SLA options.
Disclaimer
This content is for educational purposes only and does not constitute financial advice. Always conduct your own research before making any trading decisions.
Quantmetrics API: Measure Risk & Reward in One Call
Most traders see price—quants see probabilities. The Quantmetrics API turns raw performance into risk-adjusted stats like Sharpe, Sortino, volatility, drawdown, and CAGR so you can compare tokens objectively and build smarter bots and dashboards. In minutes, you’ll query /v2/quantmetrics, render a clear performance snapshot, and ship a feature that customers trust. Start by grabbing your key at Get API Key, Run Hello-TM to verify your first call, then Clone a Template to go live fast.
What You’ll Build in 2 Minutes
- A minimal script that fetches Quantmetrics for a token via /v2/quantmetrics (e.g., BTC, ETH, SOL).
- A smoke-test curl you can paste into your terminal.
- A UI pattern that displays Sharpe, Sortino, volatility, max drawdown, CAGR, and lookback window.
Next Endpoints to Add
- /v2/tm-grade (one-score signal)
- /v2/trading-signals
- /v2/hourly-trading-signals (timing)
- /v2/resistance-support (risk placement)
- /v2/price-prediction (scenario planning)
Why This Matters
Risk-adjusted truth beats hype. Price alone hides tail risk and whipsaws. Quantmetrics compresses edge, risk, and consistency into metrics that travel across assets and timeframes—so you can rank universes, size positions, and communicate performance like a professional.
Built for dev speed
A clean REST schema, predictable latency, and easy auth mean you can plug Sharpe/Sortino into bots, dashboards, and screeners without maintaining your own analytics pipeline. Pair with caching and batching to serve fast pages at scale.
Where to Find
The Quant Metrics cURL request is located in the top right of the API Reference, allowing you to easily integrate it with your application.
Build Smarter Crypto Apps & AI Agents with Token Metrics
Token Metrics provides real-time prices, trading signals, and on-chain insights all from one powerful API. Grab a Free API Key
How It Works (Under the Hood)
Quantmetrics computes risk-adjusted performance over a chosen lookback (e.g., 30d, 90d, 1y). You’ll receive a JSON snapshot with core statistics:
- Sharpe ratio: excess return per unit of total volatility.
- Sortino ratio: penalizes downside volatility more than upside.
- Volatility: standard deviation of returns over the window.
- Max drawdown: worst peak-to-trough decline.
- CAGR / performance snapshot: geometric growth rate and best/worst periods.
Call /v2/quantmetrics?symbol=<ASSET>&window=<LOOKBACK> to fetch the current snapshot. For dashboards spanning many tokens, batch symbols and apply short-TTL caching. If you generate alerts (e.g., “Sharpe crossed 1.5”), run a scheduled job and queue notifications to avoid bursty polling.
Production Checklist
- Rate limits: Understand your tier caps; add client-side throttling and queues.
- Retries & backoff: Exponential backoff with jitter; treat 429/5xx as transient.
- Idempotency: Prevent duplicate downstream actions on retried jobs.
- Caching: Memory/Redis/KV with short TTLs; pre-warm popular symbols and windows.
- Batching: Fetch multiple symbols per cycle; parallelize carefully within limits.
- Error catalog: Map 4xx/5xx to clear remediation; log request IDs for tracing.
- Observability: Track p95/p99 latency and error rates; alert on drift.
- Security: Store API keys in secrets managers; rotate regularly.
Use Cases & Patterns
- Bot Builder (Headless): Gate entries by Sharpe ≥ threshold and drawdown ≤ limit, then trigger with /v2/trading-signals; size by inverse volatility.
- Dashboard Builder (Product): Add a Quantmetrics panel to token pages; allow switching lookbacks (30d/90d/1y) and export CSV.
- Screener Maker (Lightweight Tools): Top-N by Sortino with filters for volatility and sector; add alert toggles when thresholds cross.
- Allocator/PM Tools: Blend CAGR, Sharpe, drawdown into a composite score to rank reallocations; show methodology for trust.
- Research/Reporting: Weekly digest of tokens with Sharpe ↑, drawdown ↓, and volatility ↓.
Next Steps
- Get API Key — start free and generate a key in seconds.
- Run Hello-TM — verify your first successful call.
- Clone a Template — deploy a screener or dashboard today.
- Watch the demo: VIDEO_URL_HERE
- Compare plans: Scale with API plans.
FAQs
1) What does the Quantmetrics API return?
A JSON snapshot of risk-adjusted metrics (e.g., Sharpe, Sortino, volatility, max drawdown, CAGR) for a symbol and lookback window—ideal for ranking, sizing, and dashboards.
2) How fresh are the stats? What about latency/SLOs?
Responses are engineered for predictable latency. For heavy UI usage, add short-TTL caching and batch requests; for alerts, use scheduled jobs or webhooks where available.
3) Can I use Quantmetrics to size positions in a live bot?
Yes—many quants size inversely to volatility or require Sharpe ≥ X to trade. Always backtest and paper-trade before going live; past results are illustrative, not guarantees.
4) Which lookback window should I choose?
Short windows (30–90d) adapt faster but are noisier; longer windows (6–12m) are steadier but slower to react. Offer users a toggle and cache each window.
5) Do you provide SDKs or examples?
REST is straightforward (JS/Python above). Docs include quickstarts, Postman collections, and templates—start with Run Hello-TM.
6) Polling vs webhooks for quant alerts?
Dashboards usually use cached polling. For threshold alerts (e.g., Sharpe crosses 1.0), run scheduled jobs and queue notifications to keep usage smooth and idempotent.
7) Pricing, limits, and enterprise SLAs?
Begin free and scale up. See API plans for rate limits and enterprise SLA options.
Disclaimer
All information provided in this blog is for educational purposes only. It is not intended as financial advice. Users should perform their own research and consult with licensed professionals before making any investment or trading decisions.
Crypto Trading Signals API: Put Bullish/Bearish Calls Right in Your App
Timing makes or breaks every trade. The crypto trading signals API from Token Metrics lets you surface bullish and bearish calls directly in your product—no spreadsheet wrangling, no chart gymnastics. In this guide, you’ll hit the /v2/trading-signals endpoint, display actionable signals on a token (e.g., SOL, BTC, ETH), and ship a conversion-ready feature for bots, dashboards, or Discord. Start by creating a key on Get API Key, then Run Hello-TM and Clone a Template to go live fast.
What You’ll Build in 2 Minutes
- A minimal script that fetches Trading Signals via /v2/trading-signals for one symbol (e.g., SOL).
- A copy-paste curl to smoke-test your key.
- A UI pattern to render signal, confidence/score, and timestamp in your dashboard or bot.
Endpoints to add next
- /v2/hourly-trading-signals (intraday updates)
- /v2/resistance-support (risk placement)
- /v2/tm-grade (one-score view)
- /v2/quantmetrics (risk/return context)
Why This Matters
Action over analysis paralysis. Traders don’t need more lines on a chart—they need an opinionated call they can automate. The trading signals API compresses technical momentum and regime reads into Bullish/Bearish events you can rank, alert on, and route into strategies.
Built for dev speed and reliability. A clean schema, predictable performance, and straightforward auth make it easy to wire signals into bots, dashboards, and community tools. Pair with short-TTL caching or webhooks to minimize polling and keep latency low.
Where to Find
You can find the cURL request for Crypto Trading Signals in the top right corner of the API Reference. Use it to access the latest signals!
Live Demo & Templates
- Trading Bot Starter: Use Bullish/Bearish calls to trigger paper trades; add take-profit/stop rules with Support/Resistance.
- Dashboard Signal Panel: Show the latest call, confidence, and last-updated time; add a history table for context.
- Discord/Telegram Alerts: Post signal changes to a channel with a link back to your app.
How It Works (Under the Hood)
Trading Signals distill model evidence (e.g., momentum regimes and pattern detections) into Bullish or Bearish calls with metadata such as confidence/score and timestamp. You request /v2/trading-signals?symbol=<ASSET> and render the most recent event, or a small history, in your UI.
For intraday workflows, use /v2/hourly-trading-signals to update positions or alerts more frequently. Dashboards typically use short-TTL caching or batched fetches; headless bots lean on webhooks, queues, or short polling with backoff to avoid spiky API usage.
Production Checklist
- Rate limits: Know your tier caps; add client-side throttling and queues.
- Retries/backoff: Exponential backoff with jitter; treat 429/5xx as transient.
- Idempotency: Guard downstream actions (don’t double-trade on retries).
- Caching: Memory/Redis/KV with short TTLs for reads; pre-warm popular symbols.
- Webhooks & jobs: Prefer webhooks or scheduled workers for signal change alerts.
- Pagination/Bulk: Batch symbols; parallelize with care; respect limits.
- Error catalog: Map common 4xx/5xx to clear fixes; log request IDs.
- Observability: Track p95/p99 latency, error rate, and alert delivery success.
- Security: Keep keys in a secrets manager; rotate regularly.
Use Cases & Patterns
- Bot Builder (Headless): Route Bullish into candidate entries; confirm with /v2/resistance-support for risk and TM Grade for quality.
- Dashboard Builder (Product): Add a “Signals” module per token; color-code state and show history for credibility.
- Screener Maker (Lightweight Tools): Filter lists by Bullish state; sort by confidence/score; add alert toggles.
- Community/Discord: Post signal changes with links to token pages; throttle to avoid noise.
- Allocator/PM Tools: Track signal hit rates by sector/timeframe to inform position sizing (paper-trade first).
Next Steps
- Get API Key — create a key and start free.
- Run Hello-TM — confirm your first successful call.
- Clone a Template — deploy a bot, dashboard, or alerting tool today.
FAQs
1) What does the Trading Signals API return?
A JSON payload with the latest Bullish/Bearish call for a symbol, typically including a confidence/score and generated_at timestamp. You can render the latest call or a recent history for context.
2) Is it real-time? What about latency/SLOs?
Signals are designed for timely, programmatic use with predictable latency. For faster cycles, use /v2/hourly-trading-signals. Add caching and queues/webhooks to reduce round-trips.
3) Can I use the signals in a live trading bot?
Yes—many developers do. A common pattern is: Signals → candidate entry, Support/Resistance → stop/targets, Quantmetrics → risk sizing. Always backtest and paper-trade before going live.
4) How accurate are the signals?
Backtests are illustrative, not guarantees. Treat signals as one input in a broader framework with risk controls. Evaluate hit rates and drawdowns on your universe/timeframe.
5) Do you provide SDKs and examples?
You can integrate via REST using JavaScript and Python snippets above. The docs include quickstarts, Postman collections, and templates—start with Run Hello-TM.
6) Polling vs webhooks for alerts?
Dashboards often use cached polling. For bots/alerts, prefer webhooks or scheduled jobs and keep retries idempotent to avoid duplicate trades or messages.
7) Pricing, limits, and enterprise SLAs?
Begin free and scale as you grow. See API plans for allowances; enterprise SLAs and support are available.
Recent Posts

How Token Metrics Spotted HYPE Before the Breakout — And Why It Matters for Every Crypto Trader
The crypto market has been a rollercoaster lately.
Bitcoin is dipping. Altcoins are bleeding. Sentiment across the board is skittish. Fear is gripping retail traders — and in times like these, many are unsure where to turn, what to buy, or when to hold back.
But not everyone’s losing.
Some traders are still finding wins. One example? Hyperliquid (HYPE) — a standout performer in April 2025. And here’s the kicker: Token Metrics called the move before it happened.
While most traders were distracted by meme coins or frozen in fear, Token Metrics users were riding a +51.8% breakout, armed with AI-driven insights and data-backed confidence. This blog breaks down what happened, how Token Metrics spotted the trade before the crowd, and what tools you can use today to find the next HYPE-level breakout before it happens.
The Hyperliquid Surge: What Happened?
On April 14, while much of Crypto Twitter was silent on HYPE, Token Metrics issued a bullish signal on the token. The platform’s AI-powered Trader Grade identified a strong setup forming — based on technical indicators, rising volume, and early momentum shifts.
That signal marked the beginning of a +51.8% price surge, which saw HYPE peak at $38.50 before a broad market correction pulled it back to ~$32.40.
Even with the correction, traders who acted on the early signal locked in solid profits, exited smart, or are now watching for the next move with eyes wide open — guided by grades, not guesswork.
Why Token Metrics Got It Right — When Others Missed It
While most platforms react to price action after it happens, Token Metrics is built to anticipate movement before it’s obvious. Here’s how:
✅ Technical Momentum Detection
The Trader Grade analyzes short-term price action, RSI trends, MACD crossovers, breakout patterns, and dozens of other technical indicators. HYPE’s chart showed tightening consolidation and rising buy volume — and TM’s systems flagged it in real time.
✅ Volume Spike Recognition
One of the earliest clues in any breakout is an uptick in volume. Token Metrics identifies surging liquidity that precedes breakouts — something that traditional screeners miss or catch late.
✅ Narrative Tracking
Hyperliquid was part of a subtle but growing "on-chain perpetuals" narrative — a theme most traders weren’t tracking yet. TM’s AI-powered narrative filters helped surface HYPE as an early player in a trending category.
✅ Signal Strength Confidence
Token Metrics doesn’t just throw out signals randomly. The platform assigns confidence scores based on data quality, historical performance, and AI pattern recognition. HYPE didn’t just look good — it looked statistically strong.
Current Situation: Pullback or Setup?
After topping at $38.50, HYPE retraced — now sitting about 15.8% below its high. Some might see weakness. But Token Metrics helps traders read beyond the price:
- 📈 Trader Grade still says “Buy” — meaning short-to-mid-term bullish momentum is intact.
- 🟡 Investor Grade is Neutral — a smart, cautious stance until more long-term data emerges.
- 🔍 Key Level: $32 — this is the zone bulls need to defend to keep the trend alive.
This context is what makes Token Metrics invaluable. While the crowd panics, TM users stay informed, balanced, and ready.
Token Metrics in Action: Trading with Data, Not Emotion
Let’s zoom out. Why does this matter for your trading journey?
Most traders operate on emotion, social media chatter, or FOMO. Token Metrics flips that model on its head — giving you a complete data-driven crypto trading toolkit:
🧠 AI-Powered Trader Grades
These grades score tokens on a 0–100 scale based on short-term technical momentum. A Trader Grade above 80 often precedes a strong move — as seen with HYPE.
📊 Investor Grades for Long-Term Confidence
Built from 80+ on-chain and off-chain data points — including liquidity, tokenomics, VC backers, exchange listings, community engagement, and developer activity.
📈 Real-Time Market Signals
Get alerted when a new bullish or bearish signal is triggered. These alerts are based on pattern recognition, performance history, and current price action.
🌐 Narrative Filters
Narratives drive price — from DeFi Summer to AI Agent tokens. TM helps you stay on top of evolving themes and find the tokens leading those trends early.
🔔 Alerts & Watchlists
Set custom alerts for grade movements, bold signals, or top gainer movements — so you never miss a trade even when you’re not glued to the screen.
Key Trading Benefits of Using Token Metrics
Let’s break it down: Why use Token Metrics instead of trading blindly?
1. Spot Breakouts Early
Tools like the Market Page and Top Gainers tab help you spot tokens heating up — before they explode. You won’t be the one buying at the top anymore.
2. Avoid FOMO and Bad Buys
TM’s objective grades help filter out low-quality tokens. You can avoid chasing scams or hype-based pumps with no foundation.
3. Simplify Your Research
Instead of spending hours flipping through charts and Twitter threads, Token Metrics gives you instant, high-signal data — all in one place.
4. Trade With Confidence
Whether you’re swing trading or building a long-term bag, the Trader and Investor Grades help validate (or invalidate) your bias.
5. Stay Ahead of Market Rotations
The crypto market rotates fast. Token Metrics surfaces where capital is flowing — and which narratives are gaining strength — so you can rotate with it.
What to Do Next: Trade the Signal, Not the Crowd
Looking ahead, HYPE’s next move depends on what happens at the $32 support zone:
- ✅ If it holds: there’s room for upside continuation. The Trader Grade supports it.
- ❌ If it breaks: eyes shift to $25 — a critical support where new buyers may step in.
Either way, Token Metrics users won’t be guessing. They’ll wait for the next signal — bullish or bearish — and make calculated moves based on real data.
This is the difference between reactive trading and strategic trading.
Final Takeaway: Token Metrics Helps You Trade Smarter, Not Harder
The HYPE breakout wasn’t luck. It was the result of acting on strong, data-backed signals before the crowd caught on.
If you’re tired of chasing pumps, panicking in drawdowns, or wondering why others always seem to find winners early, then it's time to level up.
With Token Metrics, you can:
- 🔍 Spot early movers like HYPE
- 📊 Trade with AI-powered confidence
- 📈 Get in before the trend — and exit before the crash
- 🧠 Make every trade a calculated decision
Ready to Catch the Next HYPE?
Join thousands of traders using Token Metrics to find breakout tokens before they pump.
👉 Explore the platform now at tokenmetrics.com
👉 Get real-time signals, bold alerts, and daily data updates
👉 Trade with structure — not speculation
Because in crypto, the edge goes to the trader with information, not emotion.

Solana Price Action: Will the Bulls Regain Control? Token Metrics Signals Offer Clues
Solana has been one of the most closely watched altcoins in the 2025 crypto cycle. With its blazing speed, developer activity, and expanding DePIN ecosystem, Solana has remained on every smart investor’s radar. But with the broader market pulling back sharply — and Bitcoin dipping below $105K — traders are asking: Is Solana still a buy?
Token Metrics' AI-powered tools offer critical insights into this volatile moment.
April's Bullish Signal Paid Off
Token Metrics’ proprietary indicator turned bullish on Solana on April 19, when the price was just $138.18. That signal wasn’t just noise. Within a month, Solana surged by 33.1%, reaching $184 by May 23.
This kind of real-time, data-driven signal is exactly why traders are turning to Token Metrics. Rather than guessing or chasing hype, our platform delivers objective, AI-backed alerts that help traders enter early and exit intelligently.
The Pullback: Market-Wide, Not Solana-Specific
Fast forward to today, and the story has changed. Solana is undergoing a major pullback, largely driven by the overall market correction. Bitcoin’s slide below $105K has dragged most altcoins down, Solana included.
However, Token Metrics' Trader Grade for Solana is now 'Neutral' — not bearish. That’s a crucial distinction. While momentum has cooled, our system is not yet signaling a full reversal. That means there’s still room for recovery.
Technical Outlook: The $160 Level is Critical
Technical analysis highlights a key battleground at $160. If bulls can reclaim this level in the near term, the uptrend could resume. Failure to hold above it, however, could open the door for deeper losses.
Token Metrics users can monitor these levels in real-time with our dynamic charts, trend indicators, and updated market signals.
What Traders Should Watch Next
- Market Signal Shift: If the Token Metrics market signal flips to bearish, it’s a red flag. Until then, volatility may still offer upside.
- $160 Breakout: This is the technical threshold bulls must defend.
- Volume and Sentiment: A spike in volume or positive narrative news could signal a reversal.
Conclusion
Solana remains a high-potential asset — but trading it without real-time analytics in this environment is risky. Token Metrics doesn’t just tell you what’s happening; it shows why it’s happening and what to do next.
Join Token Metrics today to access AI-powered trading signals, risk analysis, and the tools to trade crypto like a pro — even in uncertain markets.

Bearish Signals Ahead? How to Spot Early Warnings Before a Crash
In crypto, everything can change overnight. One minute the market’s bullish — the next, it’s bleeding red. That’s why the ability to spot bearish signals early is crucial for protecting capital and maximizing long-term gains. Token Metrics gives traders an edge with AI-driven alerts that help you act before the crash hits.
Why Most Traders Miss the Top
Retail traders often get caught in the hype. By the time “everyone” is talking about a token, it’s usually too late. The smartest investors are watching subtle changes in data: volume drops, negative sentiment, weakening momentum.
Token Metrics makes those patterns visible before price crashes.
What Is a Bearish Signal on Token Metrics?
A bearish signal is a warning based on:
- Declining Trader Grade (below 30)
- Negative ROI since signal
- Volume drying up while price holds
- Bearish crossover in trend indicators
- Weakening fundamentals or fading narratives
These signals are automatically triggered and displayed on the Market Page.
How to Identify Bearish Tokens Early
- Sort by Negative ROI – See which tokens have declined most after a bold signal.
- Filter by Trader Grade < 30 – These are tokens losing short-term momentum.
- Look for Divergence – If price is flat but volume or sentiment drops, the setup may be turning bearish.
Behavioral Clues You Shouldn’t Ignore
- Signal stops updating – Token Metrics halts signals when confidence fades.
- Narrative dies down – No more tweets, community quiets down? Trouble ahead.
- Trending to Stagnant – Tokens drop from Top Gainers list quickly.
Real Example: Avoiding Losses with Signal Data
Ian Balina mentioned how users avoided major losses by exiting weak tokens early thanks to falling grades and bearish signals. Instead of hoping, they acted — preserving capital and rotating into stronger plays like Launch Coin or AI tokens.
What to Do When You See Bearish Signs
- Don’t panic – Act on data, not emotion.
- Set stop-losses based on bold signal entry points.
- Rotate capital into high-grade tokens or stablecoins.
- Monitor daily – The market can flip from bullish to bearish in hours.
Combining Risk Management with Signals
Token Metrics isn’t just about finding moonshots. It’s also about knowing when not to buy or when to exit early. By using bearish signals, you protect yourself from downside while staying positioned for the next big opportunity.
Conclusion
The best crypto traders aren’t just profit-hunters — they’re risk managers. Bearish signals from Token Metrics help you anticipate weakness, reduce losses, and trade with clarity. In a volatile market, that edge can make all the difference.

From Retail to Institutions: Who’s Driving the Crypto Market in 2025?
Crypto markets are evolving — and fast. In the early days, retail investors dominated the space. But by 2025, the tides are shifting. Institutional investors, family offices, and algorithmic funds are entering the market at scale. This blog explores the growing divide — and how it’s reshaping opportunities for everyday traders.
The Rise of Institutional Money in Crypto
Over the last year, a new class of investors has emerged: professional firms with deep pockets and long-term horizons. They're no longer just “exploring crypto” — they’re actively deploying capital.
Why now?
- Regulatory clarity in major jurisdictions
- Bitcoin ETF approvals and crypto fund launches
- Better custody, risk management, and analytics tools (including Token Metrics)
What Are Institutions Buying?
Institutions tend to avoid meme coins and hyper-volatility. Instead, they focus on:
- Layer 1 Infrastructure – Ethereum alternatives like Sui and Avalanche
- AI Tokens – Leveraging real-world utility and strong narratives
- DeFi Blue Chips – Projects with consistent TVL and governance upgrades
- Stable Yield Strategies – On-chain bonds, staking, and real-world asset tokens
Token Metrics has seen a spike in institutional users filtering by Investor Grade and project fundamentals.
Retail Traders Still Dominate One Arena
Retail traders are far from out — they dominate high-volatility narratives:
- Meme tokens
- Social coin launches (e.g., Launchcoin)
- Short-term speculation based on influencer sentiment
Retail’s edge? Speed, risk tolerance, and virality. Many of Token Metrics’ bold signals still originate from this activity before institutions catch on.
Token Metrics Bridging the Divide
What makes Token Metrics powerful in 2025 is its ability to serve both segments:
- Institutions use it for due diligence, grades, and long-term planning.
- Retail traders use it for short-term signals, alerts, and narrative tracking.
This dual capability creates a level playing field, where data, not capital, is the edge.
How to Trade Based on Who’s in Control
- When institutions lead – expect slower but more sustainable growth. Focus on high Investor Grade tokens.
- When retail leads – expect fast-moving pumps and dumps. Use high Trader Grade + bold signals.
- Hybrid phase (now) – Use both metrics to balance volatility and long-term conviction.
Market Behavior Patterns to Watch
- Low volatility + high inflows → Institutional buildup
- High volume + sudden spikes → Retail-driven narratives
- Diverging BTC vs. altcoin trends → Mixed sentiment cycles
Conclusion
The crypto market in 2025 is being driven by both the old guard and the new wave. Institutions bring maturity. Retail brings momentum. Smart investors use tools like Token Metrics to read the room — and position themselves accordingly.

Trader vs. Investor Grade: How to Use Both for Smarter Crypto Bets
Crypto trading success often boils down to timing. But how do you know when to enter — and when to stay long? Token Metrics solves this dilemma with a dual-grade system: Trader Grade and Investor Grade. Each grade serves a different investment goal, and together, they help you make more confident decisions, whether you’re day trading or holding for the long run.
What is the Trader Grade?
The Trader Grade measures short-term momentum. It uses AI to analyze price action, volume trends, technical indicators, and recent sentiment shifts. Scores range from 0 to 100, and a score above 80 signals strong short-term potential.
Use Case:
- Perfect for swing traders and short-term opportunists.
- Look for tokens with Trader Grade > 80 for potential breakout trades.
- Example: Launchcoin had a Trader Grade above 90 before its 35x rally began.
What is the Investor Grade?
The Investor Grade focuses on long-term fundamentals. It’s designed for those who want to hold tokens for months or even years. This grade considers tokenomics, development activity, ecosystem strength, narrative alignment, and long-term price structure.
Use Case:
- Ideal for long-term portfolio builders.
- A token with Investor Grade > 80 is a strong candidate for accumulation.
- AI infrastructure tokens and modular blockchains often rank high here.
Why Use Both?
Most traders fail by only looking at hype or short-term charts. Token Metrics lets you blend data:
- High Trader Grade + Low Investor Grade? Consider a short-term trade, not a long hold.
- High Investor Grade + Low Trader Grade? Consider waiting for a better entry point.
- Both High? Green light for confidence in both entry and long-term performance.
Case Study: Balancing Your Portfolio with Grades
Users can use the dual-grade approach for smarter allocation:
- 30% of capital to high Trader Grade tokens (short-term plays)
- 70% to high Investor Grade tokens (long-term holds)
This method helps mitigate risk and improve overall ROI.
Where to Find the Grades
Both grades are displayed prominently across:
- Token Detail Pages – Real-time grade updates with historical data
- Market Page Filters – Sort tokens by grade thresholds
- Portfolio Builder Tool – Automatically selects tokens with strong grades
Tips for Grade-Based Trading
- Use Trader Grade for volatile markets or when prices are accelerating.
- Use Investor Grade when building positions in strong narratives like AI, DeFi, or infrastructure.
- Avoid tokens with both grades below 60 unless you’re making a speculative bet.
Conclusion
Trading without context is gambling. Token Metrics’ Trader and Investor Grades give you a proven framework for assessing both momentum and fundamentals. Whether you’re here for a quick flip or a long-term bet, using the dual-grade system can level up your crypto strategy.

Inside the Dashboard: How to Monitor API Key Activity and Monthly Usage in Real Time
The power of any great API isn’t just in the data it provides — it’s also in the control, visibility, and accountability it gives developers. That’s why the Token Metrics API Dashboard is more than just a place to generate keys — it’s your real-time command center for monitoring API key usage, managing access, and optimizing performance.
In this article, we’ll explore how to use the Token Metrics API Dashboard to stay in control of your app’s data usage, track request history, and ensure your integrations remain secure and efficient.
📍 Where to Find It
To access the dashboard:
- Log in to your Token Metrics account.
- Go to: https://app.tokenmetrics.com/en/api
- Navigate to the API Keys and API Usage sections.
🔐 View and Manage API Keys
The API Keys section gives you a complete overview of every active key associated with your account. For each key, you’ll see:
- Key Name: Descriptive labels like "Bot A" or "Staging Server"
- Created Date: When the key was generated
- Last Used: Timestamp of the most recent request
- Status: Active or inactive toggle
- Actions: Trash icon to instantly delete a key
💡 Why It Matters:
- Spot unused or stale keys that may pose a security risk
- Instantly disable or delete a key if it’s compromised
- Monitor which app or environment is making the most requests
📊 Monitor API Usage in Real-Time
In the Usage Dashboard, Token Metrics gives you deep insights into how your API credits are being used.
Key metrics include:
- API Calls Graph
A daily call volume chart so you can identify peaks in usage, anomalies, or unexpected surges. - Total Monthly API Calls
Example:
8,750 / 20,000
See how much of your monthly quota you’ve used — and when it resets. - Remaining API Credits
Know exactly how many calls you have left in your current cycle. - API Call Statistics Table
Each row includes:
- Endpoint accessed (e.g., /trader-grade)
- Timestamp of the request
- Status code (200 = success, 401 = unauthorized, etc.)
- Originating IP address
- Success/failure response
- Endpoint accessed (e.g., /trader-grade)
🔄 Debugging & Insights Made Easy
This dashboard doesn’t just monitor—it helps you debug and optimize.
- Quickly identify if your integration is repeatedly hitting 400 or 403 errors
- Check whether a specific key is being overused or underused
- Pinpoint spikes in usage that may indicate unauthorized access
- See which endpoints are called most often — and consider caching results
⚠️ Avoid Rate Limit Surprises
If you’re on a Basic or Advanced plan, you’ll have a rate limit (e.g., 1 req/min for free users, up to 600 req/min for VIPs). The dashboard helps ensure you stay within your limits — and scale appropriately when needed.
🚀 Build Better with Transparency
In a production environment, visibility into API activity is critical. With Token Metrics, you’re never flying blind. You always know:
- Which app is using which key
- How many credits you’re using
- When to optimize or upgrade
From security to scaling, the Token Metrics API Dashboard gives you the insight you need to build with clarity and control.

Is the Crypto Market Bullish or Bearish? Why 2025 Is the Year of Neutral Momentum
The crypto market isn't clearly bullish or bearish in mid-2025 — it's neutral. This article explores why this 'in-between' momentum could signal a maturing market cycle, and what investors should watch for as signals normalize after a sharp $1T rebound in total market cap.
As we navigate through the midpoint of 2025, one question dominates trading desks and Telegram groups alike: Is the crypto market bullish or bearish? Surprisingly, the answer might be neither. Current indicators suggest that we are in a neutral zone — an ambiguous space where the market is no longer surging with euphoric gains but isn’t plunging into panic either.
From January through mid-May, the total crypto market cap has grown from $1 trillion to $2 trillion. This swift rebound signals recovery, but not full-blown optimism. Instead, many analysts — ourselves included — interpret this as a healthy correction and stabilization following intense early-year volatility.
This kind of environment often marks the early stages of a maturing cycle. Unlike the sharp swings we saw in previous bull and bear markets, 2025’s trend suggests more measured growth, driven by fundamentals rather than hype. In other words, the market might finally be learning from its past.
That doesn’t mean the space lacks activity. Sectors like DeFi lending and AI-related tokens continue to gain traction, with significant TVL inflows. Retail interest in meme coins also remains high in select regions. But overall, what we’re seeing is consolidation — not chaos.
In this neutral setting, strategy matters more than sentiment. It's no longer about jumping into trending narratives or panic-selling on dips. Instead, identifying projects with real use cases, sustainable economics, and strong communities has become the foundation of long-term success.
For traders and builders alike, the current landscape offers both challenges and opportunities. Risk-adjusted returns are key, and disciplined portfolio rebalancing could be one of the most underrated strategies right now.
As we continue monitoring market signals, we remain committed to surfacing actionable insights backed by real-time data, not just narratives. Whether the next breakout is weeks or months away, staying informed — and unemotional — may prove to be your best edge.
How Token Metrics Helps in a Neutral Market Environment:
In times of neutral momentum, making profitable crypto decisions becomes more complex — and that's where Token Metrics shines:
- Actionable AI Signals:
Token Metrics scans thousands of tokens daily, using over 80 data points to identify bullish and bearish trends even when market sentiment is flat. This helps users cut through noise and act on real opportunities.
- Investor & Trader Grades:
When hype fades, fundamentals matter. Our proprietary grades evaluate both short-term momentum and long-term viability, helping users discover tokens with staying power — not just temporary pumps.
- Smart Rebalancing Alerts:
In a consolidating market, maintaining the right portfolio mix is crucial. Token Metrics' indices and alerts help users rebalance regularly to lock in gains and minimize downside risks.
- Sector-Based Insights:
With DeFi, AI, and meme coins behaving differently, Token Metrics allows users to dive deep into sector-specific analytics — so you can position ahead of capital flows.
- Sentiment & Volume Monitoring:
Our platform tracks shifts in on-chain activity, social sentiment, and volume trends to spot early signs of market reversals — especially useful when traditional signals stall.
In a market where being early beats being emotional, Token Metrics equips you with the clarity and tools to trade with confidence.

🚀 Announcing the Launch of the Token Metrics API & SDK — Powered by $TMAI
Introducing the Token Metrics API: Power Your Crypto Tools with AI-Driven Intelligence
We’re thrilled to announce one of our most important product launches to date: the Token Metrics API is now live.
This powerful crypto API gives developers, quant traders, and crypto startups direct access to the core AI infrastructure that powers the Token Metrics platform. Whether you’re building trading agents, investor dashboards, research tools, or mobile apps, our API and SDKs provide everything you need to build with real-time crypto data and intelligence—right out of the box.
For the first time, you can plug into the same AI API that drives our ratings, signals, and predictions—and embed it directly into your products, tools, or internal systems.
🔍 What’s Inside the Token Metrics API?
Our crypto API is designed to give you high-performance access to the exact data models we use in-house:
✅ AI Trading Signals
Access bullish and bearish calls across thousands of tokens. These API endpoints are powered by machine learning models trained on historical price action, sentiment data, and blockchain activity.
✅ Investor & Trader Grades
Through our API, you can pull dynamic 0–100 grades on any token. Designed for long-term or short-term views, these scores factor in volatility, momentum, market cap trends, and our proprietary AI predictions.
✅ AI Reports & Conversation Crypto Agent
Query the API to generate custom reports and insights using our smart crypto assistant. Analyze market trends, token health, and investment opportunities—without writing your own models.
✅ Token Performance Data
Retrieve token-level analytics like ROI, predictive volatility, and asset rankings. Perfect for powering dashboards, investor tools, or internal models.
✅ Market Sentiment Models
Use the API to access our AI-modeled sentiment engine, built from social media, news data, and trend signals—ideal for gauging crowd psychology.
All Token Metrics API endpoints are RESTful, fast, and easy to integrate. SDKs for Python, Node.js, and other environments help developers onboard quickly.
🛠️ What You Can Build With the Token Metrics API
Our users are already building next-gen tools and automation using the Token Metrics API:
- 🤖 CEX Trading Agents — Automate entries and exits with real-time signals and token grades
- ⛓️ DEX Arbitrage Engines — Scan price differences across DeFi and act instantly
- 📊 Analytics Dashboards — Build data-driven tools with predictive metrics and visualizations
- 💬 Alert Bots for Telegram & Discord — Deliver actionable alerts using our signal API
- 📱 Web & Mobile Crypto Apps — Enhance portfolios and research apps with AI intelligence
With just a few lines of code and an API key, you can turn static crypto apps into dynamic, intelligent systems.
💸 Affordable Pricing & $TMAI Utility
We’ve designed our crypto API pricing to be flexible and accessible:
- Plans start at $99/month, with high usage limits
- Save up to 35% when you pay with our native token, $TMAI
- All tiers include access to powerful AI tools and real-time crypto data
Whether you're a solo dev or scaling a trading startup, there’s a plan built for you. Paying with $TMAI also deepens your utility in the Token Metrics ecosystem—this is just the beginning of native token perks.
🧪 Try the Token Metrics API for Free
Not ready to commit? Try our free API tier with:
- Limited endpoints to explore
- Access to live documentation and test queries
- Sample code and SDKs for instant implementation
Start exploring at tokenmetrics.com/api
🌐 Why We Built This Crypto API
Token Metrics has always been focused on empowering smarter investing. But as the market evolves, we believe the future lies in infrastructure, automation, and open access.
That’s why we built the Token Metrics API—to give developers access to the exact AI systems we use ourselves. Our models have been fine-tuned over years, and now, that same intelligence can power your platform, tools, or trading agents.
Whether you're building research platforms, signal-based apps, or automated execution tools—this API is your edge.
⚡ Start Building with Token Metrics API for FREE→ tokenmetrics.com/api
The crypto market never sleeps—and with the Token Metrics API, neither do your tools.

Inside Token Metrics’ Market Page Upgrade: Smarter Signal Discovery
Introduction
With thousands of crypto tokens flooding the market, finding the best-performing assets can feel like searching for a needle in a haystack. Token Metrics is solving this with a revamped Market Page experience — designed to surface top signals faster and help users make smarter trading decisions.
Why the Market Page Matters
The Market Page is the heartbeat of Token Metrics' analytics platform. It showcases real-time data on the latest bullish and bearish signals across tokens, providing users with instant access to the platform’s top-rated opportunities. With the recent update, it’s now more powerful and user-friendly than ever.
What’s New in the Market Page?
- Top-Performing Signals First – The layout now prioritizes tokens with the highest ROI bold signals. This means the most alpha-generating opportunities are surfaced first — saving users valuable time.
- Smarter Filters – Users can sort by return, grade, time frame, and signal type. Want only tokens with a Trader Grade above 80? Just one click away.
- Improved Visuals – A cleaner UI now highlights key metrics like entry price, ROI since signal, and latest update date.
How It Helps Traders
This upgrade isn't just cosmetic. It fundamentally changes how traders interact with the platform:
- Faster decision-making by highlighting the best signals up front
- Better precision using advanced filters for investor profiles
- Increased confidence from seeing clear data behind every signal
Case Study: Launch Coin
Launch Coin, the best performing token in 2025 with a 35x return, was identified early thanks to the Market Page’s bold signal tracking. Its signal rose to the top immediately after performance started climbing — helping early users lock in life-changing gains.
How to Use the Market Page Like a Pro
- Visit the Market Page daily to track new signal updates
- Filter by 24H/7D ROI to catch fast movers
- Use Grades to Align with Your Strategy
- Follow Narratives: Filter by AI, DeFi, Gaming, and other emerging themes
The Power of Daily Signals
With market conditions changing fast, the daily updates on the Market Page give Token Metrics users an edge — surfacing fresh opportunities before they trend on social media or make headlines.
Conclusion
The new Market Page isn’t just a dashboard — it’s a discovery engine. Designed for both beginner and experienced traders, it brings clarity, speed, and precision to crypto investing.
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Token Metrics Media LLC is a regular publication of information, analysis, and commentary focused especially on blockchain technology and business, cryptocurrency, blockchain-based tokens, market trends, and trading strategies.
Token Metrics Media LLC does not provide individually tailored investment advice and does not take a subscriber’s or anyone’s personal circumstances into consideration when discussing investments; nor is Token Metrics Advisers LLC registered as an investment adviser or broker-dealer in any jurisdiction.
Information contained herein is not an offer or solicitation to buy, hold, or sell any security. The Token Metrics team has advised and invested in many blockchain companies. A complete list of their advisory roles and current holdings can be viewed here: https://tokenmetrics.com/disclosures.html/
Token Metrics Media LLC relies on information from various sources believed to be reliable, including clients and third parties, but cannot guarantee the accuracy and completeness of that information. Additionally, Token Metrics Media LLC does not provide tax advice, and investors are encouraged to consult with their personal tax advisors.
All investing involves risk, including the possible loss of money you invest, and past performance does not guarantee future performance. Ratings and price predictions are provided for informational and illustrative purposes, and may not reflect actual future performance.