
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

Moonshots API: Discover Breakout Tokens Before the Crowd
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!
- 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.
- 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
- 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.
- 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.

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.
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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.

Fundamental Grade Crypto API: Real Crypto Fundamentals in One Score
Most traders chase price action; Fundamental Grade Crypto API helps you see the business behind the token—community traction, tokenomics design, exchange presence, VC signals, and DeFi health—consolidated into one score you can query in code. In a few minutes, you’ll fetch Fundamental Grade, render it in your product, and ship a due-diligence UX that drives trust. Start by grabbing your key at the Get API Key page, Run Hello-TM to verify your first call, then Clone a Template to go live fast.
What You’ll Build in 2 Minutes
A minimal script to fetch Fundamental Grade from /v2/fundamental-grade for any symbol (e.g., BTC).
- Optional curl to smoke-test your key in seconds.
- A drop-in pattern to display the grade + key drivers in dashboards, screeners, and research tools.
Endpoints to consider next
- /v2/tm-grade (technical/sentiment/momentum)
- /v2/price-prediction (scenario planning)
- /v2/resistance-support (risk levels)
- /v2/quantmetrics (risk/return stats)
Why This Matters
Beyond price, toward quality. Markets are noisy—hype rises and fades. Fundamental Grade consolidates hard-to-track signals (community growth, token distribution, liquidity venues, investor quality, DeFi integrations) into a clear, comparable score. You get a fast “is this worth time and capital?” answer for screening, allocation, and monitoring.
Build trust into your product. Whether you run an investor terminal, exchange research tab, or a portfolio tool, Token Metrics discovery helps users justify positions. Pair it with TM Grade or Quantmetrics for a balanced picture: what to buy (fundamentals) and when to act (signals/levels).
Where to Find
The Fundamental Grade is easily accessible in the top right of the API Reference. Grab the cURL request for seamless access!
Ready to build?
- Get API Key — generate a key and start free.
- Run Hello-TM — verify your first successful call.
- Clone a Template — deploy a screener or token page today.
Watch the demo: VIDEO_URL_HERE. Compare plans: Scale confidently with API plans.
FAQs
1) What does the Fundamental Grade API return?
A JSON payload with the overall score/grade plus component scores (e.g., community, tokenomics, exchange presence, VC backing, DeFi health) and timestamps. Use the overall grade for ranking and component scores for explanations.
2) How fast is the endpoint? Do you publish SLOs?
The API is engineered for predictable latency. For high-traffic dashboards, add short-TTL caching and batch requests; for alerts, use jobs/webhooks to minimize round-trips.
3) Can I combine Fundamental Grade with TM Grade or signals?
Yes. A common pattern is Fundamental Grade for quality filter + TM Grade for technical/sentiment context + Trading Signals for timing and Support/Resistance for risk placement.
4) How “accurate” is the grade?
It’s an opinionated synthesis of multiple inputs—not financial advice. Historical studies can inform usage, but past performance doesn’t guarantee future results. Always layer risk management and testing.
5) Do you offer SDKs and examples?
You can use REST directly (see JS/Python above). The docs include quickstarts, Postman, and ready-to-clone templates—start with Run Hello-TM.
6) Polling vs webhooks for fundamentals updates?
For UI pages, cached polling works well. For event-style notifications (upgrades/downgrades), prefer webhooks or scheduled jobs to avoid spiky traffic.
7) What about pricing, limits, and enterprise SLAs?
Begin free and scale as you grow. See API plans for allowances; enterprise SLAs and support are available—contact us.

Fundamental Grade Crypto API: Invest with Conviction Using Real Project Signals
Most traders chase price action; Fundamental Grade Crypto API helps you see the business behind the token—community traction, tokenomics design, exchange presence, VC signals, and DeFi health—consolidated into one score you can query in code. In a few minutes, you’ll fetch Fundamental Grade, render it in your product, and ship a due-diligence UX that drives trust. Start by grabbing your key at the Get API Key page, Run Hello-TM to verify your first call, then Clone a Template to go live fast.
What You’ll Build in 2 Minutes
A minimal script to fetch Fundamental Grade from /v2/fundamental-grade for any symbol (e.g., BTC).
- Optional curl to smoke-test your key in seconds.
- A drop-in pattern to display the grade + key drivers in dashboards, screeners, and research tools.
Endpoints to consider next:
- /v2/tm-grade (technical/sentiment/momentum)
- /v2/price-prediction (scenario planning)
- /v2/resistance-support (risk levels)
- /v2/quantmetrics (risk/return stats)
Why This Matters
Beyond price, toward quality. Markets are noisy—hype rises and fades. Fundamental Grade consolidates hard-to-track signals (community growth, token distribution, liquidity venues, investor quality, DeFi integrations) into a clear, comparable score. You get a fast “is this worth time and capital?” answer for screening, allocation, and monitoring.
Build trust into your product. Whether you run an investor terminal, exchange research tab, or a portfolio tool, Fundamental Grade lets users justify positions. Pair it with TM Grade or Quantmetrics for a balanced picture: what to buy (fundamentals) and when to act (signals/levels).
Where to Find The Fundamental Grade
The Fundamental Grade is easily accessible in the top right of the API Reference. Grab the cURL request for seamless access!
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How It Works (Under the Hood)
Fundamental Grade aggregates multiple project-quality signals into a normalized score and label (e.g., Strong / Average / Weak). Typical sub-signals include:
- Community: momentum across channels (dev activity/user traction signals where applicable).
- Tokenomics: supply schedule, distribution, unlock dynamics, incentives.
- Exchange Presence: venue coverage, depth/liquidity proxies.
- VC/Investor Signals: quality/durability of backing and ecosystem support.
- DeFi Health: integrations, TVL context, composability footprint.
At query time, you call /v2/fundamental-grade with a symbol; responses include the overall score plus component scores you can visualize. For dashboards with many assets, batch fetches and short-TTL caching keep pages responsive. If you push alerts (e.g., “Fundamental Grade upgraded”), prefer webhooks or queued jobs to avoid hammering the API.
Production Checklist
- Rate limits: Know plan caps; add client throttling and request queues.
- Retries/backoff: Exponential backoff + jitter; surface actionable error messages.
- Idempotency: Prevent duplicate downstream actions on retried calls.
- Caching: Use memory/Redis/KV with short TTLs; pre-warm popular symbols.
- Webhooks & jobs: For alerts, use signed webhooks or scheduled jobs; log delivery outcomes.
- Pagination/Bulk: When covering many tokens, paginate or process in batches.
- Error catalog: Map 4xx/5xx to user-visible fixes; log request IDs.
- Observability: Track p95/p99 and error rate per endpoint; alert on spikes.
- Security: Keep API keys in secrets managers; rotate regularly.
Use Cases & Patterns
- Screener Maker: Rank tokens by Fundamental Grade, filter by market cap/sector, and add “rising fundamentals” badges for discovery.
- Dashboard Builder: On each token page, show the headline grade with a component chart; link to methodology for transparency.
- Research & PM Tools: Flag downgrades/upgrades to prompt re-evaluation; attach notes to component changes (e.g., DeFi health drop).
- Allocator / Risk: Require a minimum Fundamental Grade before inclusion; rebalance only when grade crosses thresholds.
- Community/Discord: Post weekly upgrades as digest messages with links back to your app.
Next Steps
- Get API Key — generate a key and start free.
- Run Hello-TM — verify your first successful call.
- Clone a Template — deploy a screener or token page today.
- Watch the demo: VIDEO_URL_HERE
- Compare plans: Scale confidently with API plans.
FAQs
1) What does the Fundamental Grade API return?
A JSON payload with the overall score/grade plus component scores (e.g., community, tokenomics, exchange presence, VC backing, DeFi health) and timestamps. Use the overall grade for ranking and component scores for explanations.
2) How fast is the endpoint? Do you publish SLOs?
The API is engineered for predictable latency. For high-traffic dashboards, add short-TTL caching and batch requests; for alerts, use jobs/webhooks to minimize round-trips.
3) Can I combine Fundamental Grade with TM Grade or signals?
Yes. A common pattern is Fundamental Grade for quality filter + TM Grade for technical/sentiment context + Trading Signals for timing and Support/Resistance for risk placement.
4) How “accurate” is the grade?
It’s an opinionated synthesis of multiple inputs—not financial advice. Historical studies can inform usage, but past performance doesn’t guarantee future results. Always layer risk management and testing.
5) Do you offer SDKs and examples?
You can use REST directly (see JS/Python above). The docs include quickstarts, Postman, and ready-to-clone templates—start with Run Hello-TM.

Indices Hub: Join the Waitlist for TM Global 100 (2025)
If you’ve been waiting for a simple, rules-based way to own the Token Metrics Global 100—without micromanaging tokens—this hub is for you. The TM Global 100 is a rules-based crypto index that holds the top 100 assets in bull markets and moves to stablecoins in bear markets, with weekly rebalancing and transparent holdings/transaction logs you can verify at any time. It’s designed for hands-off allocators who want disciplined exposure and for active traders who want a core that adapts to regimes—without guesswork or endless rebalancing. Below you’ll find how it works, who it’s for, and exactly how to join the waitlist so you’re first in line when trading opens.
→ Join the waitlist to be first to trade TM Global 100.Why Indices Matter in October 2025
Search intent right now: investors want credible, rules-based crypto exposure that can participate in upside while reducing drawdown pain. A crypto index is a basket of assets selected and maintained by rules—so you avoid one-off bets and constant manual rebalancing.
With liquidity rotating quickly across sectors, weekly rebalancing helps maintain alignment with current market-cap leaders, while regime switching provides a disciplined, pre-defined response to bearish conditions. The result is a clear, consistent process that removes emotional decision-making and operational drag.
Definition
A crypto index is a rules-based basket of digital assets that’s constructed, weighted, and rebalanced on a set schedule.
How the TM Global 100 Index Works (Plain English)
- Regime switching: Bullish: Hold the top-100 crypto assets by market cap.
- Bearish: Exit all positions into stablecoins and wait for a new bullish signal.
- Weekly rebalancing: Reflects updated rankings and weights across the market-cap universe.
- Transparency: Strategy modal shows methodology and thresholds; Gauge → Holdings Treemap → Transactions Log make every change visible.
What you’ll see on launch: Price tile, gauge (“rebalances weekly”), 100 tokens, one-click Buy Index flow, and a 90-second checkout via embedded wallet.See the strategy and rules.
Benefits at a Glance (Why This Beats DIY)
- Time saved: No more manual coin-picking, sizing, and calendar rebalances.
- Lower execution drag: One click vs. dozens of individual orders that can add slippage.
- Stay current: Weekly rebalances help you capture market-cap changes without constant monitoring.
- Discipline in drawdowns: Automatic switch to stablecoins removes panic decisions.
- Radical visibility: Holdings treemap, table, and transactions log show what you own and what changed—every week.
- Operational simplicity: Embedded wallet and a unified dashboard; no juggling chains and exchanges.
Step-by-Step: How to Get Early Access (Waitlist)
- Open the Indices Hub: Head to the Token Metrics Indices hub.
- Choose TM Global 100: Open the index page and review the Gauge → Strategy → Holdings.
- Join the Waitlist: Add your email to be notified the moment trading opens.
- (Optional) Connect Wallet: Pre-connect your wallet for a faster launch-day checkout.
Launch-Day Flow (~90 seconds): Tap Buy Index, review fees/slippage, confirm, and see your position in My Indices. Track Rebalances: After each weekly rebalance or regime change, check the Transactions Log for updates.
→ Join the waitlist to be first to trade TM Global 100.Decision Guide: Is This Right for You?
- Hands-Off Allocator: Want broad exposure without micromanaging? Yes—rules-based + weekly rebalances.
- Active Trader: Need a core that sits in stables during bears while you hunt edges elsewhere? Fits.
- TM Member/Prospect: Already trust Token Metrics research? This is the rules-based version of “own the market.”
- Risk-Aware Newcomer: Prefer a clear framework over vibes? Methodology is visible and auditable.
- DIY Basket Builder: Tired of missed rebalances and slippage? One click can reduce execution drag.
- Data-First Analyst: Want to verify? See the holdings, weights, and transaction history anytime.
FAQs
1) What is a TM Global 100 index?
It’s a rules-based crypto index that holds the top 100 assets by market cap in bullish regimes and moves to stablecoins in bearish regimes. It rebalances weekly and shows transparent holdings and transactions.
2) How often does the index rebalance?
Weekly, with additional full-portfolio switches when the market regime changes.
3) What triggers the move to stablecoins?
A proprietary market signal. When bearish, the index exits all token positions into stablecoins and waits for a bullish re-entry signal.
4) Can I fund with USDC or fiat?
At launch, funding and settlement options surface based on the embedded wallet and supported chains. USDC payouts are supported for selling; additional entry options may be introduced later.
5) Is the wallet custodial?
No. The Embedded Wallet is self-custodial—you control your funds while using a streamlined, on-chain checkout.
6) How are fees shown?
Before you confirm, the Buy flow shows estimated gas, platform fee, maximum slippage, and the minimum expected value.
7) How do I join the waitlist?
Go to the Token Metrics Indices hub or the TM Global 100 strategy page and submit your email. We’ll notify you the moment trading opens.
Security, Risk & Transparency
- Self-custody: Embedded smart wallet; you hold the keys.
- 2FA & session hygiene: Use strong auth practices for your TM account.
- Fee clarity: Gas, platform fee, and slippage are displayed before you confirm.
- Auditability: Holdings, treemap, and transactions log are always visible.
- Model limits: Regime logic can be wrong, and markets can gap; rules reduce discretion—not risk.
- Regional availability: Product surfaces may vary by region as we expand.
Crypto is volatile and can lose value. Past performance is not indicative of future results. This article is for research/education, not financial advice.
Conclusion
If you want a disciplined, rules-based core that adapts to market regimes, Token Metrics Global 100 is built for you. Weekly rebalances, transparent holdings, and one-click buy remove operational friction so you can focus on your strategy.
→ Join the waitlist to be first to trade TM Global 100.
Top Crypto Index for Hands-Off Portfolios (2025)
If you want broad exposure to cryptocurrencies without constant chart monitoring, a top crypto index offers a streamlined way to participate in the market. Token Metrics provides innovative tools to help you understand and access such indices efficiently.
Opening Hook
If you’re seeking an uncomplicated, rules-driven approach to crypto investing that adapts to market conditions, a top crypto index might be worth exploring. These indexes automate the process of capturing upside potential while managing risk during downturns, making crypto investing more accessible for a variety of investor profiles.
What is a Crypto Index?
A crypto index is a systematic, rules-based collection of digital assets that reflects a specific universe—such as the top 100 cryptocurrencies by market capitalization. It relies on transparent methodologies and scheduled rebalancing to ensure that the composition remains aligned with market dynamics. These indexes aim to provide broad exposure while reducing the need for individual asset management.
How Top Crypto Indexes Function in 2025
Many modern crypto indexes incorporate regime switching mechanisms: during bullish periods, they hold top assets; during bear markets, they shift to stablecoins to mitigate losses. Weekly rebalancing updates the constituents based on current market rankings, and transparency tools such as strategy descriptions, gauges, and transaction logs allow users to verify holdings and changes in real-time.
Benefits of Using a Crypto Index Over DIY Approaches
- Time efficiency: Automates rebalancing and regime switching, saving manual effort.
- Lower slippage: Executes large baskets with minimal impact on prices.
- Consistency: Ensures regular rebalancing and discipline during volatile periods.
- Transparency: Clear logs and dashboards allow for full accountability.
- Speed: Simplified onboarding with quick allocation processes.
Getting Early Access to Top Crypto Indexes
To gain early exposure, follow these steps:
- Open the Token Metrics Indices hub.
- Select TM Global 100 and view its details.
- Tap “Join Waitlist” and enter your email (optionally connect your wallet).
- Review strategy criteria, holdings, and rebalancing rules.
- Once launched, connect your wallet, review estimated fees, and confirm your allocation.
- Funds appear in your index portfolio, enabling easy tracking and management.
Is This Index Suitable for You?
Consider your investment style:
- Hands-Off Allocator: Ideal if you prefer broad market exposure with minimal management.
- Active Trader: Use as a core component, complemented by higher-beta bets.
- New to Crypto: Great for beginners seeking transparent exposure through simplified flows.
- DIY Enthusiast: Replace complex basket-building with a rules-based index.
- Self-Custody User: Benefit from integrated self-custodial wallets with clear transaction records.
FAQs
What is a top crypto index?
It is a rules-based basket that tracks a defined universe of digital assets—such as the top 100 by market cap—using transparent methodology and scheduled rebalancing.
How often does the index rebalance?
The index rebalances weekly, with regime switches occurring when market signals change, ensuring adaptability during different market cycles.
What prompts the move to stablecoins?
A proprietary market-regime signal triggers the transition, exiting token positions to stablecoins during bearish periods and re-entering when signals turn bullish.
Can I fund with USDC or fiat?
At launch, the embedded wallet will support supported funding options based on your chain or wallet. USDC payout is available upon sale; further options may follow.
Is the wallet custodial?
No. It’s an embedded, self-custodial smart wallet—giving you full control over your private keys and funds.
How are fees shown?
Estimated gas, platform fee, slippage, and minimum expected value are displayed before you confirm the transaction, providing full transparency.
How do I join the waitlist?
Visit the Token Metrics Indices hub or the TM Global 100 page, tap “Join Waitlist,” and follow the instructions to register your interest and prepare for launch.
Disclaimer
Crypto assets are highly volatile and can result in significant losses. Past performance does not guarantee future results. This content is for research and educational purposes only and not financial advice.

Top 100 Crypto Index: What It Is, How It’s Built, and Who It’s For (2025)
If you’ve tried to “own the market” in crypto, you’ve felt the pain: chasing listings, juggling wallets, and missing rebalances while prices move. A top 100 crypto index aims to fix that—giving you broad exposure when the market is bullish and standing down when it’s not. Token Metrics Global 100 is our rules-based version of that idea: it holds the top-100 by market cap in bull regimes, moves to stablecoins in bear regimes, and rebalances weekly. You can see every rule, every holding, and every rebalance—then buy the index in ~90 seconds with an embedded on-chain flow. → Join the waitlist to be first to trade TM Global 100.
Why a “Top 100 Crypto Index” Matters in October 2025
The market keeps cycling. New leaders emerge quickly. A “set-and-forget” bag can fall behind, while manual baskets burn hours and rack up slippage. Search interest for crypto index, regime switching, and weekly rebalancing keeps growing because people want a simple, disciplined core that adapts.
Definition (for featured snippets):
A top 100 crypto index is a rules-based basket that tracks the largest 100 crypto assets by market cap, typically rebalanced on a schedule to keep weights aligned with the market. In 2025, that alone isn’t enough. You also need discipline for downtrends. Token Metrics adds a regime-switching layer to move to stablecoins during bear phases—so you can participate in upside and sit out major drawdowns with a consistent, rules-based approach.
How the TM Global 100 Index Works (Plain English)
Regime switching:
- Bullish: The index holds the top-100 assets by market cap.
- Bearish: The index exits positions and moves fully to stablecoins until a bullish re-entry signal.
Weekly rebalancing:
- Every week, the composition and weights update to reflect current market-cap rankings. No manual list maintenance. No “oops, I missed the new entrant.”
Transparency:
- Strategy modal explains selection criteria and regime logic.
- Gauge → Treemap → Transactions Log shows the signal, the real-time holdings view, and every rebalance/regime switch.
You’ll always see what you own, how it changed, and why.
What you’ll see on launch
- Price tile, 100 tokens, “rebalances weekly,” and one-click Buy.
- Gauge to visualize the market signal.
- Holdings Treemap and Table to inspect exposure.
- Transactions Log to review every rebalance.
- See the strategy and rules.
Benefits at a Glance (Why This Beats DIY)
- Time saved: Skip hours of asset chasing and manual spreadsheets; rebalances happen automatically.
- Lower execution drag: One index buy can reduce slippage vs. piecing together 20–50 small orders across chains.
- Never miss a rebalance: Weekly updates and on/off risk switches run by rules, not vibes.
- Rules-based switching: A clear trigger defines when to sit in stablecoins—no second-guessing.
- Full visibility: The gauge, treemap, table, and log make the process auditable at a glance.
- Operational simplicity: An embedded wallet, 90-second buy flow, fee and slippage estimates upfront.
Step-by-Step: How to Get Early Access (Waitlist)
- Open the Indices hub and tap TM Global 100.
- Join the waitlist with your email—this flags you for day-one access.
- (Optional) Connect your wallet so you’re ready for the embedded checkout.
- Launch day: You’ll get an email and in-app prompt when trading opens.
- Buy in ~90 seconds: Connect, review fees/slippage/estimated value, confirm.
- Track positions: See your holdings, rebalances, and P&L in My Indices.
- Repeat or add funds: Rebalancing is handled weekly; you can add or sell anytime.
→ Join the waitlist to be first to trade TM Global 100.
Decision Guide: Is This Right for You?
- Hands-Off Allocator: Want broad market exposure without managing coin lists? Consider it.
- Active Trader: Want a disciplined core you don’t have to watch while you chase setups? Consider it.
- TM Member (Research-Heavy): Prefer to keep your picks, but want a market base layer? Consider it.
- New to Crypto: Need transparency + clear rules? Consider it, with a small test first.
- Hyper-Niche Maxi: If you only want 1–2 coins, an index may be too broad.
- Short-Term Scalper: You may still benefit from a core allocation, but active trading stays your main driver.
- Tax-/Jurisdiction-Sensitive Users: Check your local rules before investing.
- Institutional Explorers: Looking for transparent rules, logs, and weekly governance? Worth evaluating.
FAQs
What is a top 100 crypto index?
A rules-based basket tracking the largest 100 assets by market cap, typically with scheduled rebalancing. Token Metrics Global 100 adds regime switching to stablecoins during bear markets.
How often does the index rebalance?
Weekly. In addition, if the market signal flips, the entire portfolio may switch between tokens ↔ stablecoins outside the weekly cycle.
What triggers the move to stablecoins?
A proprietary market-regime signal. When it’s bearish, the index exits tokens to stablecoins and waits for a bullish re-entry signal.
Can I fund with USDC or fiat?
On launch, funding options surface based on your connected wallet and supported chains. USDC payouts are supported when selling.
Is the wallet custodial?
The embedded wallet is self-custodial—you control your funds.
How are fees shown?
Before you confirm a buy, you’ll see estimated gas, platform fee, max slippage, and minimum expected value—all up front.
How do I join the waitlist?
Go to the TM Global 100 page or the Indices hub and click Join Waitlist. You’ll get notified at launch with simple steps to buy.
Security, Risk & Transparency
- Self-custody: Embedded, self-custodial smart wallet; you control keys.
- 2FA & device checks: Standard authentication best practices.
- Fee/slippage transparency: All estimates are shown pre-trade; you confirm with eyes open.
- On-chain visibility: Holdings, rebalances, and regime switches appear in the Transactions Log.
- Rule constraints: Signals can be wrong; spreads and volatility can impact outcomes.
- Regional considerations: Availability and tax treatment vary by jurisdiction.
Crypto is volatile and can lose value. Past performance is not indicative of future results. This article is for research/education, not financial advice.
Conclusion + Related Reads
A top 100 crypto index is the simplest path to broad market exposure—if it’s built with discipline. Token Metrics Global 100 combines transparent rules, weekly rebalancing, and a regime switch to stablecoins, so you can focus on your strategy while the core maintains itself. Now’s the time to claim early access. → Join the waitlist to be first to trade TM Global 100.
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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.