
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.
Practical Guide to Claude API Integration
The Claude API is increasingly used to build context-aware AI assistants, document summarizers, and conversational workflows. This guide breaks down what the API offers, integration patterns, capability trade-offs, and practical safeguards to consider when embedding Claude models into production systems.
Overview: What the Claude API Provides
The Claude API exposes access to Anthropic’s Claude family of large language models. At a high level, it lets developers send prompts and structured instructions and receive text outputs, completions, or assistant-style responses. Key delivery modes typically include synchronous completions, streaming tokens for low-latency interfaces, and tools for handling multi-turn context. Understanding input/output semantics and token accounting is essential before integrating Claude into downstream applications.
Capabilities & Feature Surface
Claude models are designed for safety-focused conversational AI and often emphasize instruction following and helpfulness while applying content filters. Typical features to assess:
- Instruction clarity: Claude responds robustly to explicit, structured instructions and system-level guidelines embedded in prompts.
- Context handling: Larger context windows enable multi-turn memory and long-document summarization; analyze limits for your use case.
- Streaming vs batch: Streaming reduces perceived latency in chat apps. Batch completions suit offline generation and analytics tasks.
- Safety layers: Built-in moderation and safety heuristics can reduce harmful outputs but should not replace application-level checks.
Integration Patterns & Best Practices
Designing a robust integration with the Claude API means balancing performance, cost, and safety. Practical guidance:
- Prompt engineering: Build modular prompts: system instructions, user content, and optional retrieval results. Keep system prompts explicit and version-controlled.
- Context management: Implement truncation or document retrieval to stay within context limits. Use semantic search to surface the most relevant chunks before calling Claude.
- Latency strategies: Use streaming for interactive UI and batch for background processing. Cache frequent completions when possible to reduce API calls.
- Safety & validation: Post-process outputs with rule-based checks, content filters, or secondary moderation models to catch hallucinations or policy violations.
- Monitoring: Track token usage, latency percentiles, and error rates. Instrument prompts to correlate model changes with downstream metrics.
Primary Use Cases and Risk Considerations
Claude API use cases span chat assistants, summarization, prompt-driven code generation, and domain-specific Q&A. For each area evaluate these risk vectors:
- Hallucination risk: Models may fabricate facts; rely on provenance and retrieval augmentation when answers require accuracy.
- Privacy: Avoid sending sensitive personal data unless contract and data processing terms explicitly permit it.
- Regulatory exposure: For regulated domains (health, legal, finance) include human oversight and compliance review rather than treating outputs as authoritative.
- Operational cost: Longer contexts and high throughput increase token costs; profile realistic workloads before scaling.
Tools, Libraries, and Ecosystem Fit
Tooling around Claude often mirrors other LLM APIs: HTTP/SDK clients, streaming libraries, and orchestration frameworks. Combine the Claude API with retrieval-augmented generation (RAG) systems, vector stores for semantic search, and lightweight caching layers. AI-driven research platforms such as Token Metrics can complement model outputs by providing analytics and signal overlays when integrating market or on-chain data into prompts.
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
FAQ — What is the Claude API?
The Claude API is an interface for sending prompts and receiving text-based model outputs from the Claude family. It supports completions, streaming responses, and multi-turn conversations, depending on the provider’s endpoints.
FAQ — How do I manage long documents and context?
Implement a retrieval-augmented generation (RAG) approach: index documents into a vector store, use semantic search to fetch relevant segments, and summarize or stitch results before sending a concise prompt to Claude. Also consider chunking and progressive summarization when documents exceed context limits.
FAQ — How can I control API costs?
Optimize prompts to be concise, cache common responses, batch non-interactive requests, and choose lower-capacity model variants for non-critical tasks. Monitor token usage and set alerts for unexpected spikes.
FAQ — What safety measures are recommended?
Combine Claude’s built-in safety mechanisms with application-level filters, content validation, and human review workflows. Avoid sending regulated or sensitive data without proper agreements and minimize reliance on unverified outputs.
FAQ — When should I use streaming vs batch responses?
Use streaming for interactive chat interfaces where perceived latency matters. Batch completions are suitable for offline processing, analytics, and situations where full output is required before downstream steps.
Disclaimer
This article is for educational purposes only and does not constitute professional, legal, or financial advice. It explains technical capabilities and integration considerations for the Claude API without endorsing specific implementations. Review service terms, privacy policies, and applicable regulations before deploying AI systems in production.
API Keys Explained: Secure Access for Developers
Every modern integration — from a simple weather widget to a crypto analytics agent — relies on API credentials to authenticate requests. An api key is one of the simplest and most widely used credentials, but simplicity invites misuse. This article explains what an api key is, how it functions, practical security patterns, and how developers can manage keys safely in production.
What an API Key Is and How It Works
An api key is a short token issued by a service to identify and authenticate an application or user making an HTTP request. Unlike full user credentials, api keys are typically static strings passed as headers, query parameters, or request bodies. On the server side, the receiving API validates the key against its database, checks permissions and rate limits, and then either serves the request or rejects it.
Technically, api keys are a form of bearer token: possession of the key is sufficient to access associated resources. Because they do not necessarily carry user-level context or scopes by default, many providers layer additional access-control mechanisms (scopes, IP allowlists, or linked user tokens) to reduce risk.
Common API Key Use Cases and Limitations
API keys are popular because they are easy to generate and integrate: you create a key in a dashboard and paste it into your application. Typical use cases include server-to-server integrations, analytics pulls, and third-party widgets. In crypto and AI applications, keys often control access to market data, trading endpoints, or model inference APIs.
Limitations: api keys alone lack strong cryptographic proof of origin (compared with signed requests), are vulnerable if embedded in client-side code, and can be compromised if not rotated. For higher-security scenarios, consider combining keys with stronger authentication approaches like OAuth 2.0, mutual TLS, or request signing.
Practical Security Best Practices for API Keys
Secure handling of api keys reduces the chance of leak and abuse. Key best practices include:
- Least privilege: Create keys with the minimum permissions required. Use separate keys for read-only and write actions.
- Rotate regularly: Implement scheduled rotation and automated replacement to limit exposure from undetected leaks.
- Use environment variables and secrets managers: Never commit keys to source control. Use environment variables, vaults, or cloud KMS services to store secrets.
- Restrict usage: Apply IP allowlists, referrer checks, or VPC restrictions where supported to limit where the key can be used.
- Audit and monitor: Log usage, set alerts for anomalous patterns, and review dashboards for spikes or unexpected endpoints.
- Expire and revoke: Use short-lived keys where possible; immediately revoke compromised keys and revoke unused ones.
These patterns are practical to implement: for example, many platforms offer scoped keys and rotation APIs so you can automate revocation and issuance without manual intervention.
Managing API Keys in Crypto and AI Workflows
Crypto data feeds, trading APIs, and model inference endpoints commonly require api keys. In these contexts, the attack surface often includes automated agents, cloud functions, and browser-based dashboards. Treat any key embedded in an agent as potentially discoverable and design controls accordingly.
Operational tips for crypto and AI projects:
- Use separate keys per service and environment (dev, staging, production).
- Scale permission granularity: allow market-data reads without trading execution permissions.
- Encrypt keys at rest and limit human access to production secrets.
- Integrate rate-limit and quota checks to avoid service disruption and to detect misuse quickly.
Platforms such as Token Metrics provide APIs tailored to crypto research and can be configured with scoped keys for safe consumption in analytics pipelines and AI agents.
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
FAQ: What Is an API Key?
An api key is a token that applications send with requests to identify and authenticate themselves to a service. It is often used for simple authentication, usage tracking, and applying access controls such as rate limits.
FAQ: How should I store api keys?
Store api keys outside of code: use environment variables, container secrets, or a managed secrets store. Ensure access to those stores is role-restricted and audited. Never commit keys to public repositories or client-side bundles.
FAQ: What's the difference between an api key and an OAuth token?
API keys are static identifiers primarily for application-level authentication. OAuth tokens represent delegated user authorization and often include scopes and expiration. OAuth is generally more suitable for user-centric access control, while api keys are common for machine-to-machine interactions.
FAQ: How often should I rotate api keys?
Rotation frequency depends on risk tolerance and exposure: a common pattern is scheduled rotation every 30–90 days, with immediate rotation upon suspected compromise. Automate the rotation process to avoid service interruptions.
FAQ: What are signs an api key is compromised?
Watch for abnormal usage patterns: sudden spikes in requests, calls from unexpected IPs or geographic regions, attempts to access endpoints outside expected scopes, or errors tied to rate-limit triggers. Configure alerts for such anomalies.
FAQ: Can I restrict an api key to a single IP or domain?
Many providers allow IP allowlisting or referrer restrictions. This reduces the attack surface by ensuring keys only work from known servers or client domains. Use this in combination with short lifetimes and least-privilege scopes.
FAQ: How do api keys fit into automated AI agents?
AI agents that call external services should use securely stored keys injected at runtime. Limit their permissions to only what the agent requires, rotate keys regularly, and monitor agent activity to detect unexpected behavior.
Disclaimer
This article is educational and informational in nature. It is not investment, legal, or security advice. Evaluate any security approach against your project requirements and consult qualified professionals for sensitive implementations.
Mastering Google Maps API: A Practical Developer Guide
Location data powers modern products: discovery, logistics, analytics, and personalized experiences all lean on accurate mapping services. The Google Maps API suite is one of the most feature-rich options for embedding maps, geocoding addresses, routing vehicles, and enriching UX with Places and Street View. This guide breaks the platform down into practical sections—what each API does, how to get started securely, design patterns to control costs and latency, and where AI can add value.
Overview: What the Google Maps API Suite Provides
The Maps Platform is modular: you enable only the APIs and SDKs your project requires. Key components include:
- Maps JavaScript API — interactive web maps, custom markers, overlays, styling, and event hooks for client-side experiences.
- Maps SDKs for Android & iOS — native map views, offline handling patterns, and performance controls on mobile devices.
- Places API — POI lookup, autocomplete, place details, and user-generated content such as reviews and photos.
- Geocoding & Reverse Geocoding — translate addresses to coordinates and back; useful for onboarding, search, and analytics.
- Directions & Distance Matrix — routing, multi-stop optimization, travel time estimates, and matrix computations for fleet logistics.
- Street View & Static Maps — embed photographic context or low-overhead map images for thumbnails and emails.
Each API exposes different latency, quota, and billing characteristics. Plan around the functional needs (display vs. heavy batch geocoding vs. real-time routing).
Getting Started: Keys, Enabling APIs, and Security
Begin in the Google Cloud Console: create or select a project, enable the specific Maps Platform APIs your app requires, and generate an API key. Key operational steps:
- Restrict keys by HTTP referrer (web), package name + SHA-1 (Android), or bundle ID (iOS) to limit abuse.
- Use separate keys for development, staging, and production to isolate usage and credentials.
- Prefer server-side calls for sensitive operations (batch geocoding, billing-heavy tasks) where you can protect API secrets and implement caching.
- Monitor quotas and set alerts in Cloud Monitoring to detect anomalies quickly.
Authentication and identity management are foundational—wider access means higher risk of unexpected charges and data leakage.
Design Patterns & Best Practices
Successful integrations optimize performance, cost, and reliability. Consider these patterns:
- Client vs. Server responsibilities: Use client-side map rendering for interactivity, but delegate heavy or billable tasks (bulk geocoding, route computations) to server-side processes.
- Cache geocoding results where addresses are stable. This reduces repeat requests and lowers bills.
- Use Static Maps for thumbnails instead of full interactive maps when you need small images in lists or emails.
- Handle rate limits gracefully by implementing exponential backoff and queuing to avoid throttling spikes.
- Map styling & lazy loading keep initial payloads light; load map tiles or libraries on user interaction to improve perceived performance.
- Privacy-first design: minimize retention of precise location data unless required, and document retention policies for compliance.
Pricing, Quotas & Cost Management
The Maps Platform uses a pay-as-you-go model with billing tied to API calls, SDK sessions, or map loads depending on the product. To control costs:
- Audit which APIs are enabled and remove unused ones.
- Implement caching layers for geocoding and place lookups.
- Prefer batch jobs outside peak hours and consolidate requests server-side when possible.
- Set programmatic alerts for unexpected usage spikes and daily budget caps to avoid surprises.
Budgeting requires monitoring real usage patterns and aligning product behavior (e.g., map refresh frequency) with cost objectives.
Use Cases & AI Integration
Combining location APIs with machine learning unlocks advanced features: predictive ETA models, demand heatmaps, intelligent geofencing, and dynamic routing that accounts for historic traffic patterns. AI models can also enrich POI categorization from Places API results or prioritize search results based on user intent.
For teams focused on research and signals, AI-driven analytical tools can help surface patterns from large location datasets, cluster user behavior, and integrate external data feeds for richer context. Tools built for crypto and on-chain analytics illustrate how API-driven datasets can be paired with models to create actionable insights in other domains—similarly, map and location data benefit from model-driven enrichment that remains explainable and auditable.
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
Is the Google Maps API free to use?
Google offers a free usage tier and a recurring monthly credit for Maps Platform customers. Beyond the free allocation, usage is billed based on API calls, map loads, or SDK sessions. Monitor your project billing and set alerts to avoid unexpected charges.
Which Maps API should I use for address autocomplete?
The Places API provides address and place autocomplete features tailored for UX-focused address entry. For server-side address validation or bulk geocoding, pair it with Geocoding APIs and implement server-side caching.
How do I secure my API key?
Apply application restrictions (HTTP referrers for web, package name & SHA-1 for Android, bundle ID for iOS) and limit the key to only the required APIs. Rotate keys periodically and keep production keys out of client-side source control when possible.
Can I use Google Maps API for heavy routing and fleet optimization?
Yes—the Directions and Distance Matrix APIs support routing and travel-time estimates. For large-scale fleet optimization, consider server-side batching, rate-limit handling, and hybrid solutions that combine routing APIs with custom optimization logic to manage complexity and cost.
What are common pitfalls when integrating maps?
Common issues include unbounded API keys, lack of caching for geocoding, excessive map refreshes that drive costs, and neglecting offline/mobile behavior. Planning for quotas, testing under realistic loads, and instrumenting telemetry mitigates these pitfalls.
Disclaimer
This article is for educational and technical information only. It does not constitute financial, legal, or professional advice. Evaluate features, quotas, and pricing on official Google documentation and consult appropriate professionals for specific decisions.
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What Are Crypto Indices? A Complete Guide to Crypto Index and AI Crypto Indices
As the cryptocurrency market matures, new tools are emerging to help investors navigate its volatility and complexity. One of the most powerful innovations in this space is the crypto index—a way to simplify crypto investing, reduce risk, and gain exposure to top-performing tokens without having to pick winners manually. Even more exciting is the rise of AI-powered crypto indices, which bring data science and machine learning into the equation to make smarter, real-time portfolio decisions.
In this article, we’ll break down everything you need to know about crypto indices, including:
- What is a crypto index?
- How do crypto indices work?
- Benefits of crypto index investing
- The evolution of AI crypto indices
- Best platforms offering crypto index solutions
- How to start investing in crypto indices
What Is a Crypto Index?
A crypto index is a curated basket of cryptocurrencies that represents a particular theme, strategy, or market segment. Just like traditional stock market indices such as the S&P 500 or NASDAQ-100, a crypto index helps investors track the performance of a group of assets, rather than betting on just one token.
For example, a Top 10 Market Cap Crypto Index would include the ten largest cryptocurrencies by market capitalization (such as Bitcoin, Ethereum, Solana, etc.), and the index’s performance reflects the collective movement of these assets.
Types of Crypto Indices
- Market Cap Indices – Track the top cryptocurrencies by total market value.
- Thematic Indices – Focus on specific sectors like DeFi, AI, Gaming, Memecoins, or Layer-1s.
- Strategy-Based Indices – Include actively managed or algorithm-driven portfolios.
- Yield Indices – Target assets offering staking rewards or yield farming income.
How Do Crypto Indices Work?
Crypto indices are built using a defined methodology that selects, weights, and periodically rebalances assets within the index. Some use fixed rules (e.g., market cap weighting), while others apply more dynamic strategies based on trading signals or AI models.
Key Components:
- Constituent Selection: Tokens are selected based on criteria like market cap, volume, or sector.
- Weighting Method: Each token’s proportion in the index (e.g., equally weighted, cap-weighted).
- Rebalancing: The portfolio is adjusted regularly (weekly, monthly) to reflect market changes.
- Performance Tracking: The index value changes over time to show how the portfolio performs.
Investors can gain exposure to these indices via platforms that either simulate index performance or allow on-chain index purchases through tokenized portfolios.
Benefits of Investing in a Crypto Index
Investing in a crypto index offers multiple benefits—especially for those who want exposure to the crypto market without actively trading.
1. Diversification
Indices reduce the risk of putting all your capital into one volatile asset. Even if one token underperforms, others can balance it out.
2. Simplicity
No need to research every project. Indices package top tokens into a single product that reflects a broader market or theme.
3. Risk Management
Rebalancing and rules-based strategies prevent overexposure to risky or declining assets.
4. Long-Term Growth
Over time, diversified portfolios tend to outperform manual picks due to compounding and market-wide exposure.
5. Passive Investing
Crypto indices are ideal for “set and forget” strategies. Let the index work while you focus on your long-term goals.
What Are AI Crypto Indices?
AI crypto indices take the concept of index investing to the next level. Instead of using static rules, these indices rely on machine learning algorithms to analyze real-time market data and adjust the portfolio dynamically.
How It Works:
- AI scans 80+ data points per token: price action, momentum, sentiment, volatility, volume, technical indicators, and more.
- It generates trading signals (bullish or bearish) for each token.
- The index automatically allocates capital into assets with strong bullish signals.
- When market conditions turn bearish, the AI exits positions into stablecoins to preserve capital.
- Portfolios are updated weekly or even daily for maximum responsiveness.
AI crypto indices are ideal for those who want smart, automated crypto trading without the hassle of constant monitoring.
Why AI-Powered Indices Are the Future of Crypto Investing
The crypto market is 24/7 and moves fast. Human traders can't keep up with all the news, charts, and patterns—but AI can.
Key Advantages of AI Indices:
- Faster Response: AI reacts instantly to market trends and news.
- Data-Driven Decisions: No emotional bias—just pure analytics.
- Backtested Models: AI strategies can be tested against years of historical data.
- Dynamic Risk Management: AI shifts capital to safety during downtrends.
- Better ROI Potential: AI indices often outperform simple HODL portfolios.
Best Platforms Offering Crypto Indices
Several platforms now offer crypto index investing. Some focus on passive HODL-style indices, while others provide AI-managed strategies.
Top Picks:
- Token Metrics AI Indices: Offers active AI-driven indices that rebalance weekly based on bullish/bearish signals. Includes categories like Memecoins, DeFi, RWA, AI, and Top Market Cap.
- Bitwise: Traditional-style index funds for institutional investors.
- Phuture: On-chain indices that users can invest in directly from their crypto wallets.
- Index Coop: Community-governed crypto index products built on Ethereum.
Crypto Index AI Trading - Coming soon on Token Metrics
How to Start Investing in a Crypto Index
Step 1: Choose Your Platform
Select a platform that offers indices aligned with your goals—passive, thematic, or AI-based.
Step 2: Select an Index
Pick an index based on your interest (Top 10, DeFi, AI tokens, etc.).
Step 3: Connect Wallet / Create Account
Some platforms are on-chain (Web3), others use custodial models.
Step 4: Allocate Capital
Fund your account or wallet with USDC, ETH, or BTC.
Step 5: Monitor Performance
Check your index portfolio’s performance weekly. With AI indices, much of the work is automated.
Final Thoughts: Crypto Indexing Is Smart Investing
Crypto indices are reshaping the way people invest in digital assets. Whether you’re a beginner or seasoned trader, index investing offers a powerful blend of diversification, simplicity, and smart automation. And with the rise of AI-powered indices, investors can now access hedge-fund level strategies at the click of a button.
If you want to invest smarter and trade less, crypto indices—especially AI crypto indices—are the future. They’re not just tools for passive exposure—they’re intelligent systems designed to maximize returns and minimize risks in the wild world of crypto.

Top Crypto Newsletters in 2025: Stay Ahead with the Best Crypto Daily Insights
In the fast-paced world of cryptocurrency, staying informed can mean the difference between seizing a major opportunity and missing it entirely. In 2025, the best way to stay on top of crypto trends, altcoin picks, and market analysis is through expertly curated crypto newsletters. These newsletters offer a steady stream of actionable insights, expert commentary, and research-backed predictions—delivered straight to your inbox.
Whether you're a seasoned investor, a crypto founder, or just a curious learner, subscribing to the right newsletters can supercharge your understanding of the market and help you make better decisions.
In this blog, we’ll highlight the top crypto newsletters in 2025, with an in-depth look at what makes each one valuable. We’ll also explore why the Token Metrics Daily Newsletter stands out as a must-have resource for over 150,000 active subscribers.
Why Crypto Newsletters Still Matter in 2025
Despite the growth of Twitter, Telegram, and Discord communities, newsletters remain the most curated, distraction-free format for staying informed. Here’s why top investors still rely on email newsletters in 2025:
- Signal Over Noise: Unlike social feeds, newsletters deliver only the most relevant insights.
- Expert Commentary: Many newsletters are written by top-tier analysts, developers, or traders.
- Regularity and Consistency: They arrive at a set frequency—daily, weekly, or monthly—making them easy to follow.
- Research-Based: Many crypto newsletters are data-driven, referencing on-chain activity, technical analysis, and AI-powered research.
Now let’s dive into the top newsletters dominating the crypto space in 2025.
1. Token Metrics Daily Newsletter
📩 Frequency: Daily
🧠 Focus: AI-Powered Market Insights, Token Ratings, Investment Research
👥 Subscribers: 150,000+
The Token Metrics Daily Newsletter is one of the most trusted and widely read publications in the crypto industry. Written by a team of crypto quants, analysts, and investment researchers, the newsletter provides a daily breakdown of:
- Top-performing tokens
- AI-generated Bullish and Bearish signals
- Market Sentiment Analysis
- Trader and Investor Grade insights
- New altcoin picks
- Sector-level performance (AI, RWA, DeFi, Memecoins, etc.)
Each issue blends quantitative data with expert interpretation, making it incredibly valuable whether you're a casual investor or managing a professional portfolio.
Token Metrics’ proprietary AI grades over 6,000 tokens and scans the market for shifts in risk/reward, price momentum, and narrative strength. This cutting-edge data is broken down and interpreted in the daily newsletter, giving readers a significant informational edge before markets move.
Why It’s Great:
- Quant research distilled into readable insights
- Actionable signals with clear reasoning
- Trusted by traders, hedge funds, and VC-backed startups
Token Metrics isn’t just a newsletter — it’s a complete crypto intelligence platform. If you’d like a walkthrough of how to use it effectively, book a call with us here.
2. The Defiant
📩 Frequency: Daily
🧠 Focus: DeFi News, Governance, Protocol Deep Dives
👥 Subscribers: 100,000+
The Defiant is the go-to resource for everything DeFi. Launched by journalist Camila Russo, it has grown into a full-fledged media brand with a daily newsletter that delivers news, DeFi protocol updates, governance votes, liquidity shifts, and analysis of the decentralized finance space.
In 2025, the newsletter continues to dominate in terms of original reporting, exclusive interviews, and early alerts about rising DeFi projects or regulatory changes.
Why It’s Great:
- Sharp editorial focus on DeFi
- Excellent context around protocol changes
- Balances technical accuracy with readability
3. Alpha Please
📩 Frequency: Daily
🧠 Focus: On-chain Metrics, Narratives, Emerging Projects
👥 Subscribers: ~80,000–120,000
Alpha Please is one of the fastest-growing newsletters in 2025, known for its data-driven approach and sharp narrative tracking. Every edition focuses on what’s working on-chain—including wallet activity, TVL shifts, token unlocks, and momentum narratives like AI tokens or RWAs.
It distills complexity into clarity, often combining on-chain analytics with sectoral insights across Ethereum, Solana, and newer L1s.
Why It’s Great:
- Excellent coverage of “early narrative rotations”
- Features wallet tracking and token unlock analysis
- Targets power users without being overwhelming
4. CoinSnacks
📩 Frequency: Weekly
🧠 Focus: Crypto News Recap, Regulation, Adoption
👥 Subscribers: 80,000+
CoinSnacks is ideal for the casual crypto enthusiast or early-stage investor who wants a digestible weekly roundup of the most important stories. It balances crypto adoption news, regulatory developments, and token updates in a short and readable format.
With sections like "This Week’s Snacks" and "Chart of the Week", CoinSnacks makes staying informed simple and light.
Why It’s Great:
- Concise and beginner-friendly
- Excellent for catching up once a week
- Good balance of news, commentary, and charts
5. Wolf Den Research
📩 Frequency: 3–4x Weekly
🧠 Focus: Token Deep Dives, Risk Analysis, Undervalued Gems
👥 Subscribers: ~50,000–75,000
Wolf Den stands out for its in-depth token research and valuation breakdowns. It’s favored by readers who are long-term investors or those who want to spot undervalued tokens before they pump. Unlike hype-based newsletters, it emphasizes risk-adjusted analysis and sustainability of growth.
Often, their research overlaps with projects that Token Metrics grades highly, making it a solid complementary source.
Why It’s Great:
- High-conviction, low-frequency publishing model
- Great for long-term thesis-building
- Trusted by boutique crypto funds and serious retail investors
6. Messari Unfiltered
📩 Frequency: Daily
🧠 Focus: Institutional Analysis, Token Valuations, Research Reports
👥 Subscribers: 60,000+
Messari is a respected name in institutional crypto research, and their daily newsletter, Unfiltered, brings that depth to your inbox. It’s packed with token valuations, funding announcements, DAO metrics, and governance proposals.
Perfect for professionals, founders, or analysts looking for rigorous coverage, Messari’s newsletter often links to deeper research pieces that are widely cited in the industry.
Why It’s Great:
- Deep-dive token research and valuations
- Strong emphasis on data integrity
- Institutional-grade insights made accessible
7. TLDR Crypto
📩 Frequency: Daily
🧠 Focus: Daily News Summaries, Token Launches, Ecosystem Updates
👥 Subscribers: 50,000+
TLDR Crypto focuses on summarizing each day’s key crypto developments in one quick email. It covers everything from token announcements and blockchain upgrades to hacks and VC raises.
It’s great for professionals who need to stay informed but have limited time to scan through social media or read multiple news sites.
Why It’s Great:
- Extremely time-efficient
- No-fluff format
- Covers a broad range of topics daily
Choosing the Right Newsletter for You
NewsletterBest ForToken MetricsQuantitative traders, serious investorsThe DefiantDeFi natives, DAO participantsBanklessEthereum and L2 enthusiastsCoinSnacksCasual investors, beginnersMilk RoadMeme lovers, quick readersMessariProfessionals and institutionsTLDR CryptoBusy readers, quick digest seekers
Final Thoughts
In 2025, crypto newsletters remain one of the best ways to stay informed, sharpen your trading strategy, and build conviction in your investments. Whether you’re deep into DeFi or just want to know which altcoin is trending today, there’s a newsletter for you.
And if you’re looking for daily, AI-backed crypto research that cuts through the noise, the Token Metrics Daily Newsletter is an essential tool in your arsenal. With powerful insights, expert analysis, and real-time signals, it helps over 150,000 subscribers stay one step ahead of the market every day.
Subscribe to the Token Metrics Newsletter
📬 https://research.tokenmetrics.com/
Because in crypto, timing isn’t everything—it’s the only thing.

Unlock AI Crypto Trading: Token Metrics Crypto API Integration with QuickNode
The world of crypto trading is evolving fast, and access to real-time AI-driven data is becoming critical for both individual traders and developers building crypto applications. Token Metrics, a leading AI-powered crypto trading and analytics platform, has taken another giant leap by integrating with QuickNode, a cutting-edge blockchain infrastructure provider. This integration enables developers and crypto enthusiasts to access Token Metrics’ powerful trading signals, grades, and reports directly through QuickNode’s robust API marketplace.
In this article, we’ll walk you through how the Token Metrics API works on QuickNode, how to set it up, and why this partnership is a game-changer for anyone serious about crypto trading or building crypto applications.
Why Token Metrics Integration with QuickNode Matters
Before we dive into the setup process, let’s understand why this integration is so valuable.
Token Metrics uses advanced AI models that analyze over 80 data points across thousands of crypto assets. These models generate actionable insights, including:
- Trader Grades: Short-term performance outlooks
- Investor Grades: Long-term performance assessments
- AI Trading Signals: Real-time buy/sell signals based on market conditions
- AI Agents & Reports: In-depth analysis generated by autonomous AI agents
With the QuickNode integration, developers and traders can now directly access this rich dataset through a simplified, scalable API infrastructure, without worrying about backend complexity.
Step-by-Step: How to Set Up Token Metrics API on QuickNode
Setting up Token Metrics API endpoints via QuickNode is remarkably straightforward. Here’s how you can start pulling real-time trading signals into your application or trading dashboard:
1️⃣ Create a New Endpoint
First, log in to your QuickNode account. In the Endpoints section, click on Create New Endpoint. You will be prompted to select a base chain. For this example, we’ll select Base Mainnet — QuickNode's high-performance blockchain infrastructure designed for speed, scalability, and reliability.
After selecting the chain, click Continue to move to the next step.
2️⃣ Select Your Token Metrics API Plan
QuickNode offers multiple Token Metrics API subscription plans based on your needs:

For this setup, let’s choose the Basic Plan, which provides 5,000 API calls per month along with access to Trader Grades — ideal for developers just starting out or small-scale projects.
Once you’ve selected your plan, proceed to checkout and click Complete Purchase.
3️⃣ Retrieve and Apply Your API Key
After purchasing your Token Metrics API subscription, QuickNode will generate your endpoint URL and API key. This is where the integration gets incredibly developer-friendly.
Go to the Add-Ons > Getting Started section, copy the provided endpoint code, and paste it into your project’s codebase. Assign a title to the key for easy reference — for example, you might name it Token ID — and provide the specific token identifier. In this case, for Bitcoin, you would set its value to 3375.
Once set up, simply click Send to initiate your first request.
4️⃣ Access Real-Time Trading Signals
The Trading Signals Endpoint is one of the most powerful tools available through the Token Metrics API. For each token you query, the endpoint returns daily trading signals, allowing you to:
- See whether the AI recommends buying or selling
- Analyze signals based on real-time market data
- Use these insights to improve your trading decisions or power your crypto applications
For example, when querying Bitcoin, the Token Metrics API will deliver the most up-to-date trading recommendation based on AI analysis of price movements, technical indicators, sentiment analysis, and on-chain data.
5️⃣ Monitor Live Metrics
Once you start pulling data from the API, you’ll be able to monitor live trading signals via your integrated dashboards or trading tools. This real-time data empowers traders to make smarter, more timely decisions while offering developers a new layer of predictive analytics for their crypto platforms.
With minimal code, you can embed Token Metrics’ proprietary AI-driven metrics into:
- Trading bots
- Portfolio trackers
- Crypto dashboards
- Market intelligence platforms
- Educational apps
The Power of AI Crypto Trading at Your Fingertips
What makes this integration unique is Token Metrics’ AI-first approach to crypto analysis. Unlike basic data aggregators, Token Metrics leverages machine learning models trained on:
- Price action
- Technical indicators
- On-chain activity
- Market sentiment
- Macroeconomic trends
This allows the system to generate forward-looking signals, not just lagging indicators — a massive advantage for crypto traders who need to stay ahead of volatile market swings.
Benefits for Developers
The integration with QuickNode isn’t just for active traders — it’s a huge win for developers building crypto products:
- Faster Time-to-Market: No need to build complex analytics models from scratch.
- Scalability: QuickNode handles the backend infrastructure, while Token Metrics handles the AI data.
- Customizable API Usage: Tailor your subscription level based on how much data your app needs.
- Enterprise-Grade Reliability: QuickNode’s low-latency infrastructure ensures your app stays fast and stable.
Whether you're building for retail traders, institutions, or crypto communities, this API integration lets you deliver AI-powered insights quickly.
Unlock the Future of Crypto Trading
The Token Metrics integration with QuickNode represents the next evolution in crypto market intelligence — combining AI-powered predictive analytics with world-class blockchain infrastructure. Developers can now easily embed Token Metrics’ actionable trading signals into their applications, while traders can make smarter, data-driven decisions.
If you’re serious about building cutting-edge crypto products or improving your personal trading strategies, this integration offers you the most advanced AI tools available — ready to deploy within minutes.
Click here to view the demo!
👉 Start today by integrating Token Metrics API via QuickNode and unlock AI-powered crypto trading.
Frequently Asked Questions (FAQ)
Q: Do I need to be a developer to use Token Metrics API via QuickNode?
A: While some technical knowledge is helpful, QuickNode’s user-friendly interface makes it easy to set up endpoints even if you’re not a full-time developer.
Q: Can I upgrade my Token Metrics plan later?
A: Yes. You can start with any plan and upgrade as your needs grow.
Q: What kind of data does the API provide?
A: Trader Grades, Investor Grades, AI Trading Signals, Token Reports, AI Agent Reports, and much more depending on your subscription tier.
Q: Can I use this for building trading bots?
A: Absolutely. Many developers integrate Token Metrics data directly into automated trading bots to execute AI-informed strategies.

AI Crypto Trading: Token Metrics Bullish & Bearish Signals Explained 2025
In the world of cryptocurrency trading, timing isn’t just important — it’s everything.
Buying too early ties up valuable capital. Buying too late means you miss the explosive moves that define crypto trading cycles. That’s why serious traders in 2025 are moving beyond basic technical analysis and adopting advanced AI crypto trading tools that deliver real-time precision.
At the forefront of this evolution is Token Metrics, a leading AI-powered crypto trading platform. Its Bullish and Bearish Signals, driven by cutting-edge AI cryptocurrency trading algorithms, are providing traders with an unprecedented edge — outperforming legacy indicators like RSI, MACD, trendlines, and other traditional tools.
In this detailed guide, we’ll explore exactly how these signals work, why they’re so effective, and how they’re helping traders dominate the crypto trading markets with confidence and clarity.
What Are Token Metrics Bullish and Bearish Signals?
Token Metrics has developed a proprietary system that generates Bullish and Bearish signals across thousands of crypto assets. Unlike simplistic price-based indicators, these signals are built on a sophisticated multi-factor model that combines:
- Price momentum shifts
- Trading volume spikes
- Support and resistance levels
- On-chain activity strength
- Whale wallet flows
- Sentiment analysis
- Historical pattern recognition
- Liquidity and order book depth
Each signal is generated when multiple independent factors align — a process known as signal confluence. This drastically reduces false positives and ensures that only high-probability setups trigger alerts.
In simple terms: Token Metrics Bullish and Bearish Signals don’t trigger based on one factor — they fire when multiple critical data points confirm the setup. This makes them far more reliable than most tools used in traditional cryptocurrency trading.
The AI Advantage: Why These Signals Are Different
What sets Token Metrics apart from standard crypto trading indicators is its heavy use of artificial intelligence (AI) and machine learning models that analyze real market behavior.
Traditional Tools Are Lagging
Popular indicators like RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence) have been staples of cryptocurrency trading for years. But they share one fatal flaw: they are lagging indicators. They only react after price movements have already occurred.
This delay often causes traders to enter late, miss opportunities, or fall into bull traps right before reversals.
Token Metrics Signals Are Forward-Looking
In contrast, Token Metrics AI Signals are trained on outcomes, not just patterns. The AI models analyze:
- How thousands of past price patterns played out
- Which combinations of factors led to real breakouts or breakdowns
- Which setups frequently produced false signals historically
By learning from historical market outcomes, the AI constantly refines its signal generation, adapting to ever-changing cryptocurrency trading conditions. This adaptability makes the system market responsive, something static indicators like RSI or MACD can’t achieve.
AI Validation & Backtesting
Every signal generated by Token Metrics is validated using AI-powered backtesting. This allows the system to continuously test its models against massive historical datasets, ensuring the signals remain accurate across different market regimes — whether it’s bull markets, bear markets, or sideways ranges.
The end result: a real-time AI cryptocurrency trading system that constantly evolves and improves its accuracy.
Real-World Examples: Token Metrics Signals in Action
During a recent webinar, the Token Metrics team showcased multiple real-world examples of how its Bullish and Bearish Signals outperformed traditional indicators.
Example 1: $DEGEN
- A Bullish Signal was triggered on $DEGEN before a major +35% breakout.
- At the time of signal activation, there was no traditional RSI divergence or MACD cross.
- Traders using Token Metrics entered early, while those relying on standard tools were still waiting for confirmation.
Example 2: $ENA
- A Bearish Signal was triggered on $ENA ahead of a -22% price correction.
- Again, standard technical indicators provided no early warning.
- Traders using AI crypto trading signals were able to exit before the sharp drop.
These examples highlight how AI-powered crypto trading systems offer traders an advantage — not by predicting the future perfectly, but by identifying statistically high-probability setups before they become obvious to the rest of the market.
How Traders Use Token Metrics Signals in Cryptocurrency Trading
The flexibility of Token Metrics signals allows traders across multiple strategies to integrate them into their trading workflows.
1. Signal Confirmation with Trader Grades
Many traders first screen for high Trader Grade tokens (another proprietary AI scoring model within Token Metrics) and then use Bullish or Bearish Signals for entry and exit timing confirmation.
2. Real-Time Alerts
Traders set real-time alerts on specific tokens. When a signal fires, they receive instant notifications via the platform, web app, or API — allowing them to act immediately.
3. Backtesting & Historical Performance
Token Metrics provides overlays on price charts that visually display previous signal triggers. Traders can easily backtest how signals performed historically, building trust in the system’s accuracy.
4. Algorithmic Bot Integration
For advanced users and developers, Token Metrics provides full API access. This allows algorithmic traders and fund managers to integrate Bullish and Bearish Signals directly into automated AI crypto trading bots for fully systematic execution.
Bullish vs Bearish: What Do These Signals Actually Mean?
Bullish Signal
- Multiple AI-validated factors align to suggest that price momentum, volume expansion, sentiment, and technical structure are primed for an upside breakout.
- Signals early momentum shifts before retail traders notice.
Bearish Signal
- Signals deterioration in momentum, liquidity weakening, profit-taking behavior, and increased downside risk.
- Often triggers before obvious technical breakdowns occur.
Unlike basic indicators that react late, these signals give you early actionable intelligence — exactly what’s needed in highly volatile cryptocurrency trading markets.
Token Metrics AI Signals vs Traditional TA Indicators
Feature Token Metrics AI Signals RSI / MACD / Traditional TA
AI-trained on historical outcomes ✅ Yes ❌ No
Multi-factor confluence (80+ data points) ✅ Yes ❌ No
Adaptive to changing market conditions ✅ Dynamic ❌ Static
Intraday real-time updates ✅ Yes ❌ Often delayed
API integration for automated trading ✅ Yes ❌ No
In short: Token Metrics AI Signals give you a probabilistic edge that traditional technical analysis simply can’t offer.
Who Benefits Most from AI Cryptocurrency Trading Signals?
AI-powered Bullish and Bearish Signals can be game-changing for a wide variety of cryptocurrency trading participants:
- Day Traders: Time breakouts early and manage risk efficiently.
- Swing Traders: Identify narrative shifts and sector rotations before price expansion.
- Algorithmic Bot Builders: Feed signals directly into AI crypto trading bots for systematic execution.
- Fund Managers: Avoid drawdowns and rebalance portfolios with quant-level precision.
- Long-Term Investors: Exit fading trends early and reallocate into stronger narratives.
Whether you’re an active trader or a long-term crypto investor, having AI-driven signals at your fingertips gives you a competitive advantage over the majority of traders still relying on outdated, lagging tools.
The Future of Cryptocurrency Trading Is AI-Powered
The cryptocurrency markets have evolved dramatically. In 2025, AI crypto trading is no longer a luxury for large institutions — it’s quickly becoming the standard for serious crypto traders.
- Markets are faster.
- Narratives rotate quicker.
- Capital flows shift hourly.
- Manual chart watching is increasingly obsolete.
With Token Metrics Bullish and Bearish Signals:
- You trade data, not emotion.
- You follow probability, not predictions.
- You respond to real-time conditions instead of reacting late.
In a space where being early is everything, AI cryptocurrency trading delivers the edge traders need to stay profitable in both bull and bear markets.
Conclusion
Crypto trading in 2025 demands smarter tools. Token Metrics Bullish and Bearish Signals represent a major breakthrough in AI crypto trading technology, providing traders with real-time, actionable intelligence that beats traditional indicators.
By combining deep AI analysis, multi-factor modeling, and continuous backtesting, Token Metrics offers one of the most advanced cryptocurrency trading systems available today.
If you want to trade with greater precision, avoid costly mistakes, and stay ahead of volatile market shifts, AI crypto trading signals from Token Metrics are your new secret weapon.

AI Crypto Trading: Token Metrics Real-Time AI Grades for Crypto Trading
The cryptocurrency trading landscape moves at lightning speed. Tokens pump, narratives shift, and entire sectors rotate overnight. In this chaotic environment, traders need more than just basic charts and lagging indicators — they need real-time, data-driven tools that can process vast amounts of information instantly.
That’s exactly where AI crypto trading comes in. In 2025, Token Metrics has taken cryptocurrency trading to a new level with its advanced Real-Time AI Grades, giving both traders and investors a clear edge in the hyper-volatile crypto trading markets.
With AI-powered Trader and Investor Grades, Token Metrics helps users evaluate any token’s strength, momentum, and long-term trend alignment — all calculated in real-time using over 80 data points. This isn’t just data. It’s actionable intelligence, powered by AI cryptocurrency trading models designed for today’s fast-moving market.
What Are Token Metrics Real-Time AI Grades?
At the core of Token Metrics' AI crypto trading platform are two proprietary grading systems:
1. Trader Grade
- Focuses on short-term price action and momentum.
- Designed for swing traders, active traders, and short-term speculators.
- Measures rapid changes in volatility, volume, trend strength, and technical setups.
- Helps traders identify tokens with breakout potential before they take off.
2. Investor Grade
- Focuses on long-term trend sustainability.
- Ideal for long-term holders, portfolio managers, and fundamental investors.
- Evaluates trend alignment, strength of price structure, and on-chain sustainability.
- Helps investors avoid weak tokens and stay positioned in strong long-term performers.
Both grades are calculated using over 80 quantitative and on-chain data points that are continuously updated. These data points include:
- Volatility metrics
- Liquidity and volume trends
- RSI divergences
- On-chain transaction activity
- Relative strength vs Bitcoin and Ethereum
- Order book dynamics
- Sentiment analysis
- Whale wallet flows
- Exchange inflows/outflows
The grades are expressed on a simple 0 to 100 scale, making it easy for traders to quickly assess a token’s strength. In most cases, a Trader Grade above 90 signals that a token is showing breakout potential, while a falling Investor Grade can warn of an impending trend reversal.
In short, Token Metrics uses AI cryptocurrency trading technology to distill massive data into simple, actionable grades — making cryptocurrency trading far more data-driven and precise.
Real-Time AI Grading: The New Standard for Crypto Trading
Until recently, these grades were updated daily. But now, Token Metrics has moved to real-time grading for high-volume tokens, creating a breakthrough moment for AI crypto trading.
What real-time AI grading means for crypto traders:
- Intraday Adjustments: Grades now update throughout the day based on real-time price movements, volume surges, and market volatility shifts.
- Early Breakout Detection: Traders receive breakout signals early — often before major price moves hit social media or mainstream attention.
- Risk-Off Alerts: Investor Grades drop as long-term trends weaken, providing timely warnings to exit positions before steep corrections occur.
With real-time grading, these AI crypto trading signals are no longer simply informative — they’re fully actionable. Traders can now respond to shifts in momentum as they happen, not after the move has already played out.
Live Use Case: Real-Time Grades in Action
During a recent Token Metrics webinar, the power of real-time AI grading was demonstrated with live market examples:
- The Trader Grade flagged a high score on $NORMIE just before a 40% intraday move. Traders who acted on the signal caught the breakout early.
- Simultaneously, the Investor Grade on $TNSR began to drop, signaling weakening long-term strength — a clear sign to rotate out and avoid potential downside.
This real-time grading system gives traders an enormous edge in cryptocurrency trading. Instead of reacting emotionally to price moves, traders can confidently follow objective AI-powered signals.
Visual Overlays: Making AI Crypto Trading Clearer Than Ever
One of the most powerful features of Token Metrics Real-Time Grades is the overlay integration on live price charts within the platform.
With visual overlays, traders can:
- Instantly see when grades peak or drop.
- Correlate grading signals with live price action.
- Visually backtest how grades behaved during previous trends.
- Clearly identify when a token’s momentum flips from bullish to bearish.
This creates a visual roadmap for crypto trading — allowing users to instantly read the health of any token’s trend with unparalleled clarity. For AI crypto trading, this level of real-time visual feedback dramatically improves confidence and precision.
Token Metrics AI Grades vs Traditional Crypto Trading Indicators
Traditional cryptocurrency trading indicators like RSI, MACD, and basic chart patterns have major limitations:
Feature Token Metrics AI Grades Traditional TA Tools
Combines 80+ real-time data points ✅ Yes ❌ No
AI-powered signal generation ✅ Yes ❌ No
Real-time intraday updates ✅ Yes ❌Often delayed
Visual chart overlays ✅ Yes ❌ Manual
Integrated filtering & automation ✅ Yes ❌ Lacks automation
While traditional indicators rely on simplistic price-based formulas, Token Metrics combines multi-dimensional data sources with AI modeling. This is the future of AI cryptocurrency trading — far more comprehensive, adaptive, and responsive than old-school technical analysis.
Who Should Use Token Metrics AI Grades?
The beauty of real-time AI grading is that it’s highly adaptable across different types of cryptocurrency traders and investors:
- Day Traders & Swing Traders: Spot breakout candidates early based on rapid Trader Grade spikes.
- Algorithmic Strategy Builders: Feed real-time grading data into automated AI crypto trading bots for highly responsive execution.
- Fund Managers & Portfolio Analysts: Vet tokens for long-term allocations using Investor Grades and trend alignment.
- Crypto Research Analysts: Monitor sector strength, narrative shifts, and capital rotations based on aggregate grades.
- Token Metrics API Developers: Integrate AI grading data directly into custom crypto trading dashboards and bots.
If you care about momentum, timing, filtering, and precision in cryptocurrency trading, these grades offer one of the strongest data-driven edges available in the market today.
Why AI Crypto Trading Is the Future of Cryptocurrency Trading
The cryptocurrency market is simply too fast, too global, and too emotional for purely manual trading. Attention shifts hourly. Liquidity floods into narratives instantly. Retail and institutional money rotate rapidly between sectors.
AI crypto trading is the only way to stay ahead of this chaos.
With Token Metrics’ Real-Time AI Grades:
- Traders don’t need to monitor hundreds of charts 24/7.
- Emotions and guesswork are replaced with objective AI signals.
- Capital can be rotated systematically into outperforming sectors.
- Positions can be exited efficiently as momentum fades.
This is quant-grade crypto trading — delivered directly to everyday traders.
In 2025, smart crypto traders are no longer trading charts. They’re trading AI grades.
Conclusion
As the cryptocurrency trading industry matures, traders increasingly seek smarter, data-driven solutions that remove emotion, improve timing, and boost profitability. Token Metrics’ Real-Time AI Grades are delivering exactly that.
By combining real-time price action, on-chain analytics, volatility measures, liquidity flows, and machine learning models, Token Metrics has built one of the most advanced AI crypto trading platforms available today.
If you want to succeed in cryptocurrency trading — and stay ahead of fast-moving markets in 2025 — real-time AI grading is no longer optional. It’s the new standard.

AI Crypto Trading - How Token Metrics AI Helps You Catch Every Crypto Narrative Before It Pumps
In crypto, narratives don’t just tell stories — they move serious capital.
Every few weeks, a new sector takes center stage. One day it’s memecoins. The next it’s AI tokens. After that, it's Real World Assets (RWAs), restaking protocols, or something entirely new. The constant cycle of hype and attention creates volatile capital flows that most traders struggle to keep up with. By the time you realize a narrative is pumping, you're often already late. The smart money has rotated, and you’re left holding the bag as exit liquidity.
This is where Token Metrics steps in with a powerful solution: AI-driven Portfolio Rotation based on real-time narrative performance.
Instead of relying on gut feeling or Twitter hype, Token Metrics uses real-time data, AI-powered grading, and predictive analytics to help you rotate your crypto portfolio into the right narratives at exactly the right time. It’s built for traders who want to consistently stay ahead of capital flows, and it’s already live for Premium users.
Let’s dive deeper into why narrative rotation matters, how Token Metrics tracks it in real-time, and why this AI-powered system is changing the way traders approach crypto markets.
Why Narrative Rotation Matters
If you’ve been trading crypto for a while, you already know one core truth: attention drives liquidity. And in crypto, attention shifts fast.
Whenever a new narrative gains traction — whether it's driven by a protocol upgrade, macroeconomic news, or simply viral social media posts — the capital starts flowing:
- Venture capital firms pump their favorite tokens tied to the narrative.
- Influencers and alpha groups amplify the hype.
- Traders chase short-term momentum looking for fast gains.
- Retail investors arrive late and often buy the top.
This cycle repeats over and over. If you’re not rotating early, you end up entering the trade just as early participants are exiting. The trick is not just identifying strong narratives — it’s recognizing when they start to heat up, and moving capital accordingly.
Narrative rotation allows traders to continuously reallocate their portfolio toward the sectors that are attracting fresh liquidity — and more importantly — exiting fading narratives before they reverse.
In traditional markets, this level of active sector rotation often requires hedge fund-level resources. In crypto, with its fragmented data and 24/7 markets, it's even harder to pull off manually. That’s where AI comes in.
How Token Metrics Tracks Narratives in Real Time
The Token Metrics team recognized that crypto traders needed a smarter, data-driven approach to narrative rotation. So they built an entire system that tracks sector performance dynamically — in real time — across hundreds of tokens and multiple narratives.
Here’s how it works:
- Curated Narrative Indices: Token Metrics has built multiple AI-curated indices that group tokens into active narratives such as Top AI Tokens, Top Memecoins, Top RWAs, and more. Each index represents a distinct narrative, aggregating multiple projects into a single performance tracker.
- Live ROI Tracking: Every index is continuously monitored based on 7-Day and 30-Day ROI metrics. This gives traders instant visibility into which narratives are starting to outperform and where capital is rotating.
- Real-Time Bullish/Bearish Signals: The platform applies AI-powered bullish and bearish signals across individual tokens within each index. This helps you gauge not only sector-level momentum but also individual token strength.
- Trader Grade Scoring: Every token within each narrative is also scored using Token Metrics’ proprietary Trader Grade, which ranks tokens by short-term momentum, volatility, liquidity, and AI-driven signal strength.
In short, instead of relying on your gut instinct or waiting for narratives to trend on crypto Twitter, you’re seeing clear, data-backed signals the moment narratives begin to heat up — and well before retail crowds arrive.
What is AI Portfolio Rotation?
The real breakthrough is AI Portfolio Rotation. This isn’t just a dashboard that shows you sector performance. Token Metrics goes a step further by actually generating actionable portfolio rotation recommendations based on live narrative performance.
The system works like this:
- Monitor Narrative Outperformance: The AI monitors all active narrative indices, tracking which sectors are outperforming based on short-term ROI, momentum signals, and Trader Grades.
- Rotate Exposure Automatically: As narratives shift, the system automatically suggests reallocating exposure into the narratives that are gaining momentum.
- Select Top Tokens: Within each narrative, only the top-scoring tokens — those with the strongest Trader Grades and bullish signals — are included in the recommended allocation.
- Exit Underperformers: If a narrative weakens, or signals turn bearish, the system exits positions and reallocates capital into stronger sectors.
It’s essentially an AI-powered quant fund operating on narrative rotation logic — continuously adapting your portfolio allocation based on capital flows across narratives in real-time.
For traders, it turns the chaotic, unpredictable world of crypto narratives into a structured, rules-based trading system.
Example From the Webinar: AI → Memes → RWA
During the recent Token Metrics Premium webinar, the team showcased how AI Portfolio Rotation played out in the real market over just a few weeks.
- AI Tokens Surge: After new OpenAI product announcements, AI-related crypto tokens like FET, RNDR, and AGIX began to outperform, attracting attention from traders anticipating a broader AI sector pump.
- Memecoin Mania: Shortly after, celebrity-driven memecoin launches flooded the market, pushing memecoins like PEPE, FLOKI, and DOGE into the spotlight. The narrative shifted hard, and capital rotated into these high-volatility assets.
- Real World Assets (RWA) Take Over: As macroeconomic narratives around tokenized assets and on-chain treasuries gained momentum, the RWA sector surged. Tokens tied to tokenization narratives, like ONDO or POLYX, saw significant inflows.
By using Token Metrics’ AI-powered system, traders following the dashboard were able to rotate their portfolios in sync with these capital flows — entering hot narratives early and exiting before momentum faded.
Who Is This For?
AI Portfolio Rotation isn’t just for advanced quant traders — it's designed for a wide range of crypto participants:
- Swing Traders: Rotate across hot sectors with clear, data-driven insights.
- Fund Managers: Systematically allocate capital across outperforming narratives while minimizing guesswork.
- Crypto Builders & Analysts: Monitor sector flows to understand broader market trends and build better macro narratives.
- On-Chain Traders: Actively manage DeFi portfolios and liquidity positions with narrative-aware positioning.
The point is simple: narrative allocation beats token picking.
Most traders spend hours debating which token to buy, but often fail to recognize that sector rotation drives much larger price moves than token fundamentals alone — especially in the short-term crypto cycle.
Token Metrics vs. Guesswork
To really understand the edge this provides, let’s compare:
Feature Token Metrics AI Rotation Manual Research
Live Narrative ROI Tracking ✅ Yes ❌ No
AI-Driven Rotation Logic ✅ Yes ❌ No
Trader Grade Filtering per Theme ✅ Yes ❌ No
Bullish/Bearish Signals ✅ Yes ❌ No
Performance vs BTC/SOL/ETH Benchmarks ✅ Yes ❌ Time-consuming
While manual research often leaves you reacting late, Token Metrics transforms narrative rotation into an objective, data-powered process that removes emotional bias from your trading decisions.
The Bottom Line
AI-driven portfolio rotation gives you the ultimate edge in fast-moving crypto markets.
Instead of constantly chasing headlines, Discord alphas, or social media hype, Token Metrics allows you to:
- Instantly see which narratives are gaining momentum.
- Automatically rotate into top-rated tokens within those narratives.
- Exit fading narratives before the crowd even realizes the shift.
It’s a systematic, repeatable approach to trading the strongest sectors in real time. And most importantly — it allows you to profit from the same capital flows that move these markets.
In a space where being early is everything, Token Metrics’ AI Portfolio Rotation may be one of the smartest tools available for crypto traders looking to stay ahead of narrative rotations.
This isn’t just better data — it’s better positioning.

Best Crypto API for Automated Trading: How Zapier and Token Metrics Help Crypto Traders Win
Zapier is a no-code automation platform that lets you connect different apps and workflows using simple logic. With this integration, Token Metrics becomes one of the most powerful crypto APIs available for automation.
Now, you can instantly stream insights from the best crypto API into your favorite tools—whether you're managing a community in Discord, running a trading desk in Slack, or tracking token performance in Google Sheets.
Imagine automatically alerting your team when:
- A token’s Investor Grade turns bullish
- The Sharpe Ratio crosses a risk threshold
- A new coin ranks in the top 10 AI indices
- A project’s Valuation Score improves week-over-week
That’s just the beginning.
Building a Real-Time Crypto Market AI Bot on Discord
Let’s break down one of the most exciting use cases: creating a crypto AI assistant in Discord that delivers real-time token insights using Token Metrics and Zapier.
Step 1: Set Up Token Metrics API in Zapier
First, connect your Token Metrics account to Zapier and select your trigger. Zapier will display available endpoints from the Token Metrics API, including:
- Indices Performance
- Investor and Trader Grades
- Quant Metrics
- Valuation Scores
- Support/Resistance Levels
- Volatility and Risk Metrics
For this walkthrough, we’ll use the Quant Metrics endpoint and monitor the token Hyperliquid, a rising star in the market.
Step 2: Pass Token Data to OpenAI (ChatGPT)
Next, we use OpenAI’s ChatGPT node within Zapier to interpret the raw token data.
The Token Metrics API provides rich data fields like:
- Sharpe Ratio
- Value at Risk
- Price Momentum
- Drawdown
- Volatility Score
- Valuation Ranking
In the prompt, we pass these values into ChatGPT and instruct it to generate a human-readable summary. For example:
“Summarize this token's current risk profile and valuation using Sharpe Ratio, Value at Risk, and Price Trend. Mention whether it looks bullish or bearish overall.”
The AI response returns a concise and insightful report.
Step 3: Send the AI Summary to Discord
Now it’s time to publish your insights directly to Discord. Using Zapier’s Discord integration, you simply map the output from ChatGPT into a message block and post it in a channel of your choice.
The result? A clean, formatted message with up-to-date crypto analytics—delivered automatically in real time.
Use Case Expansions: More Than Just One Token
This workflow doesn’t stop at one token.
You can easily expand your automation to:
- Monitor multiple tokens using separate Zaps or a lookup table
- Set alerts for changes in Investor Grades or Valuation Scores
- Summarize weekly performance of indices
- Compare Trader vs Investor sentiment
- Deliver price support/resistance alerts to Telegram, Slack, or email
Every piece of this system is powered by the Token Metrics crypto API, making it one of the most versatile tools for crypto automation on the market.
Why Token Metrics API is the Best Crypto API for Automation
When it comes to building crypto tools, bots, or dashboards, data quality is everything. Here’s what makes Token Metrics the best crypto API to plug into Zapier:
✅ Institutional-Grade Data
We use AI, machine learning, and quantitative analysis to score, rank, and predict token behavior across thousands of coins.
✅ Full Market Coverage
Track tokens across top L1 and L2 chains like Ethereum, Solana, Avalanche, Base, and more.
✅ Actionable Signals
Our API includes pre-calculated metrics like Bullish/Bearish Signals, Investor/Trader Grades, Risk Scores, and On-Chain Sentiment.
✅ Scalable & Modular
Pull exactly the data you need—from a single token’s valuation score to an entire index’s historical performance.
What You Can Build Using the Zapier and Token Metrics API
With this integration, developers, traders, and crypto communities can now build:
- AI Discord bots that auto-analyze any token
- Crypto trading dashboards in Notion or Google Sheets
- Investor alerts via SMS, Slack, or Telegram
- Weekly market reports sent to your email inbox
- Risk monitors for portfolio managers
- Auto-updating content for crypto blogs or newsletters
Zapier’s drag-and-drop interface makes it easy—even if you don’t write code.
Example Project: Community-Run Trading Assistant
Let’s say you’re running a Discord community around DeFi or AI tokens. With this integration, you can:
- Use the Token Metrics API to fetch daily Quant Metrics for trending tokens
- Pass them into OpenAI for summarization
- Auto-publish to a #daily-market channel with the latest signal summary
You now have a fully autonomous crypto analyst working 24/7—helping members stay informed and ahead of market shifts.
Start Building Today
If you’ve been looking for a crypto API that’s both powerful and flexible—Token Metrics is it. And with our new Zapier integration, you can bring those insights directly into the tools you already use.
➤ Ready to build your first crypto AI bot?
- Sign up at https://www.tokenmetrics.com/api
- Get your API key
- Connect to Zapier
- Automate your crypto intelligence in minute
Click here to view the demo!
This is the future of crypto trading: AI-powered, automated, and deeply personalized.
Final Thoughts
Crypto markets don’t sleep—and neither should your insights.
With the best crypto API now available through Zapier, Token Metrics gives you the power to build anything: bots, dashboards, trading agents, alert systems, and more.
Whether you're an individual trader, a Web3 builder, or a fund manager, this integration brings automation, AI, and crypto intelligence to your fingertips.
Let’s build the future of trading—together.

AI Crypto Trading with Token Metrics Crypto API and OpenAI Agents SDK: The Future of Autonomous Crypto Intelligence
Why This Integration Matters
Developer demand for high-fidelity market data has never been higher, and so has the need for agentic AI that can act on that data. Token Metrics delivers one of the best crypto API experiences on the market, streaming tick-level prices, on-chain metrics, and proprietary AI grades across 6,000+ assets. Meanwhile, OpenAI’s new Agents SDK gives engineers a lightweight way to orchestrate autonomous AI workflows—without the overhead of a full UI—by chaining model calls, tools, and memory under a single, developer-friendly abstraction. Together they form a plug-and-play stack for building real-time trading bots, research copilots, and portfolio dashboards that think and act for themselves.
A Quick Primer on the Token Metrics Crypto API & SDK
- Comprehensive Coverage: Tick-level pricing, liquidity snapshots, and on-chain activity for thousands of tokens.
- Actionable AI: Trader and Investor Grades fuse technical, on-chain, social, and venture-funding signals into a single score that beats raw price feeds for alpha generation.
- Ready-Made Signals: Long/short entries and back-tested model outputs arrive via one endpoint—perfect for time-critical agents.
- Instant Integration: Official Python and TypeScript SDKs handle auth, retries, and pandas helpers so you can prototype in minutes.
Because the service unifies raw market data with higher-level AI insight, many builders call it the token metrics crypto API of choice for agentic applications.
What Sets the OpenAI Agents SDK Apart
Unlike prior frameworks that mixed business logic with UI layers, the Agents SDK is headless by design. You write plain TypeScript (or JavaScript) that:
- Defines tools (functions, web-search, file search, or external APIs).
- Describes an agent goal and supplies the tools it can call.
- Streams back structured steps & final answers so you can trace, test, and fine-tune.
Under the hood, the SDK coordinates multiple model calls, routes arguments to tools, and maintains short-term memory—freeing you to focus on domain logic.
Bridging the Two with the Crypto MCP Server
Token Metrics recently shipped its Crypto MCP Server, a lightweight gateway that normalises every client—OpenAI, Claude, Cursor, VS Code, Windsurf, and more—around a single schema and API key. One paste of your key and the OpenAI Agents SDK can query real-time grades, prices, and signals through the same endpoint used in your IDE or CLI.
Why MCP?
Consistency—every tool sees the same value for “Trader Grade.”
One-time auth—store one key, let the server handle headers.
Faster prototyping—copy code between Cursor and Windsurf without rewriting requests.
Lower cost—shared quota plus TMAI staking discounts.
In fewer than 30 lines you’ve built a self-orchestrating research assistant that pulls live data from the best crypto API and reasons with GPT-4o.
Architecture Under the Hood
- Agent Layer – OpenAI Agents SDK manages state, reasoning, and tool routing.
- Tool Layer – Each Token Metrics endpoint (prices, grades, signals) is wrapped as an Agents SDK tool.
- Data Layer – The MCP Server proxies calls to the Token Metrics REST API, unifying auth and schemas.
- Execution Layer – Agents call the tools; tools call MCP; MCP returns JSON; the agent responds.
Because every piece is modular, you can swap GPT-4o for GPT-4.1, add a DEX trading function, or stream outputs to a React dashboard—no core rewrites required.
Performance & Pricing Highlights
- Free Tier: 5 000 calls/month—ideal for proof-of-concept agents.
- Premium Tier: 100 000 calls/month and three-year history, unlocking AI Agent endpoints for production workloads.
- VIP: 500 000 calls/month and unlimited history for institutional desks.
OpenAI usage is metered per token, but the Agents SDK optimises context windows and tool invocations, often yielding lower compute cost than bespoke chains.
Roadmap & Next Steps
Token Metrics is rolling out first-party TypeScript helpers that auto-generate tool schemas from the OpenAPI spec, making tool wrapping a one-liner. On the OpenAI side, Responses API is slated to replace the Assistants API by mid-2026, and the Agents SDK will track that upgrade.
Ready to build your own autonomous finance stack?
- Grab a free Token Metrics key → app.tokenmetrics.com
- Clone the Agents SDK starter repo → npx degit openai/agents-sdk-starter
- Ship something your traders will love.
- Watch demo here
The synergy between the Token Metrics crypto API and OpenAI’s Agents SDK isn’t just another integration; it’s the missing link between raw blockchain data and actionable, self-operating intelligence. Tap in today and start letting your agents do the heavy lifting.

Token Metrics Crypto API and Windsurf Integration: Unlock Hidden Crypto Signals for Smarter Trading
In today’s crypto market, raw data isn’t enough. Speed isn’t enough. What you need is insight.
That’s why we’re excited to unveil a game-changing integration: Token Metrics Crypto API now powers an ultra-fast, AI-driven crypto analytics platform—supercharged by Windsurf Coding Agent automation. This isn’t just another crypto dashboard. It’s a real-time intelligence engine designed for traders, funds, and crypto builders who demand an edge.
The Problem with Most Crypto Dashboards
Most crypto dashboards simply pull price data and display it. But serious traders know that price alone doesn’t tell the full story. You need context. You need predictive signals. You need advanced analytics that go beyond surface-level charts.
The Token Metrics Crypto API changes that.
By combining cutting-edge AI models with deep on-chain and market data, the Token Metrics API delivers the kind of actionable intelligence that traditional platforms can’t match.
The Power of Token Metrics API
At the heart of this new platform lies the Token Metrics API — widely regarded by traders and funds as the best crypto API available today.
Here’s why:
✅ Real-Time AI Insights
The Token Metrics API delivers real-time valuations, grades, risk metrics, and momentum signals—powered by sophisticated AI and machine learning models analyzing thousands of crypto assets.
✅ Predictive Token Ratings
Leverage Investor Grade and Trader Grade rankings to see which tokens are gaining momentum — before the market fully reacts.
✅ Quant Metrics & Risk Analysis
Access volatility scores, Sharpe ratios, value-at-risk metrics, and drawdown analysis to manage risk with precision.
✅ Clustering & Sentiment Analysis
Identify hidden relationships between tokens using real-time clustering and on-chain sentiment analysis.
✅ Full Market Coverage
Whether you trade altcoins, L1 ecosystems, DeFi, or memecoins — the Token Metrics Crypto API covers thousands of assets across multiple chains.
This depth of data allows the platform to do far more than just monitor prices — it discovers patterns, clusters, momentum shifts, and early market signals in real-time.
How Windsurf Coding Agent Unlocks New Possibilities
To build a truly responsive and adaptive crypto intelligence platform, we leveraged Windsurf Coding Agent automation. Windsurf allows us to ship new dashboards, signals, and features in hours—not weeks.
As crypto markets evolve rapidly, speed to insight becomes critical. With Windsurf’s agent-driven automation, we can prototype, iterate, and deploy new AI models and data visualizations faster than any traditional development cycle allows.
- 🔄 New momentum indicators can be developed overnight
- 🔄 Cluster algorithms can be recalibrated instantly
- 🔄 Dashboards respond live to market shifts
This makes the entire system fluid, adaptive, and always tuned to the latest market behavior.
Not Just Another Dashboard — A Real-Time AI Engine
This isn’t your average crypto dashboard.
Every data point is analyzed, filtered, and rendered within milliseconds. As soon as the Token Metrics API delivers updated data, the platform processes it through real-time clustering, momentum scoring, and risk analysis.
The result? A blazingly fast, AI-powered crypto dashboard that gives you insights while your competition is still refreshing price feeds.
Platform Highlights:
- Real-Time Market Trends:
See market shifts as they happen, not minutes later. - Hidden Cluster Discovery:
Identify which tokens are moving together before major narratives emerge. - Smart Momentum Signals:
Detect early breakout signals across DeFi, AI, RWA, Memes, and other sectors. - Token Ratings & Sentiment:
Get automated Investor Grades, Trader Grades, and community sentiment scoring. - Built-in AI Analysis Engine:
Summary insights are auto-generated by AI to make complex data immediately actionable.
Turning Complexity Into Clarity
Crypto markets generate overwhelming amounts of data — price swings, liquidity changes, on-chain flows, funding rates, sentiment shifts, and more.
The Token Metrics + Windsurf integration filters that noise into clear, actionable signals. Whether you’re:
- A crypto fund manager seeking alpha
- An algorithmic trader hunting momentum
- A community builder wanting to inform your Discord or Telegram group
- A developer creating your own crypto trading bots or dashboards
... this platform turns complexity into clarity.
The signal is out there. We help you find it.
Why Token Metrics API is the Best Crypto API for Builders
When evaluating crypto APIs, most traders and developers face the same issues: incomplete data, poor documentation, limited endpoints, or stale updates. The Token Metrics API stands apart as the best crypto API for several key reasons:
1️⃣ Comprehensive Data Coverage
The Token Metrics API covers over 6,000 crypto assets across major chains, sectors, and narratives.
2️⃣ AI-Driven Metrics
Unlike other crypto APIs that only provide raw market data, Token Metrics delivers pre-calculated AI insights including:
- Trader & Investor Grades
- Bullish/Bearish Signals
- Quantitative Rsk Metrics
- Sentiment Scores
- Support & Resistance Levels
3️⃣ Developer Friendly
The API is fully documented, REST-based, and easily integrates with platforms like Windsurf, Zapier, and custom trading systems.
4️⃣ Instant Updates
Data is refreshed continuously to ensure you’re always working with the latest available insights.
This makes the Token Metrics crypto API ideal for:
- Building automated trading agents
- Developing AI-powered dashboards
- Running quant research pipelines
- Powering Discord/Telegram trading bots
- Creating crypto advisory tools for funds or DAOs
Example Use Case: Proactive Cluster Monitoring
Imagine this:
You’re managing a portfolio with exposure to several DeFi tokens. The platform detects that several mid-cap DeFi projects are clustering together with rising momentum scores and improving Investor Grades. Within seconds, your dashboard flashes an early “sector breakout” signal.
By the time social media narratives catch on hours or days later — you’re already positioned.
This is the edge that real-time AI-driven analytics delivers.
What You Can Build With Token Metrics API + Windsurf
The possibilities are nearly endless:
- Fully autonomous AI trading agents
- Real-time risk management dashboards
- Community-facing Discord or Telegram bots
- Investor-grade weekly market reports
- Live streaming momentum monitors
- Institutional quant analysis tools
And because Windsurf Coding Agent automates development, these solutions can evolve rapidly as new narratives, tokens, and market behaviors emerge.
Start Building Your Edge Today
If you’re serious about staying ahead in crypto, you need more than just prices—you need intelligence.
The combination of Token Metrics API and Windsurf’s automation delivers the fastest, smartest way to build your own crypto intelligence systems.
➤ Sign up for Token Metrics
➤ Get API access
➤ Start building with Windsurf
Turn data into insights. Turn insights into profits.
Click here to view the demo!
Conclusion: The Future of Crypto Analytics Is Here
The days of static dashboards and delayed signals are over. The future belongs to platforms that deliver real-time, AI-powered, adaptive crypto intelligence.
With Token Metrics Crypto API and Windsurf Coding Agent, you have the tools to build that future—today.
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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.