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Best Crypto YouTube Channels in 2024 - Token Metrics Moon Awards

Discover the top crypto YouTube channels of 2024 with the Token Metrics Moon Awards. Stay ahead in crypto trends and insights for savvy investments.
Token Metrics Team
5 Minutes
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Welcome to the Token Metrics Moon Awards, a prestigious accolade in the cryptocurrency industry, honoring platforms, projects, and initiatives that have significantly impacted the industry. 

Today, we are thrilled to introduce a new category of Moon Awards - the Best Crypto YouTube Channels in 2024.

Selection Process

At Token Metrics, we emphasize our audience, considering them the foundation of our operations. Our approach, deeply rooted in community engagement, ensures that the outcomes of our awards genuinely reflect crypto enthusiasts' sentiments and experiences.

Empowering Community Perspectives

The Moon Awards by Token Metrics aim to amplify the community's voice, offering a clear and focused assessment of the entities propelling advancements in the industry.

By actively involving our community members and utilizing user voting, we have thoughtfully curated a comprehensive list of the Best Crypto YouTube Channels in 2024, drawing from a wealth of survey data and user input.

This article will explore the best crypto YouTube channels in 2024, providing you with a comprehensive list of channels to follow and engage with.

List of the Best Crypto YouTube Channels in 2024

Best Crypto YouTube Cannels
Image Source - Token Metrics Moon Awards

Token Metrics

In the Moon Awards survey, the Token Metrics YouTube channel secured the top position with 49.6% of the total votes.

Token Metrics is a well-known YouTube channel hosted by Ian Balina. Ian shares in-depth analysis and research on various cryptocurrencies. 

Their team of experts uses data-driven metrics and machine-learning algorithms to evaluate the potential of different digital assets. 

From fundamental analysis to technical analysis, Token Metrics covers many topics that can help you make informed investment decisions.

Coin Bureau

In the Moon Awards survey, the Coin Bureau YouTube channel secured the 2nd position with 16.5% of the total votes.

Coin Bureau is a popular YouTube channel hosted by Guy Turner. The channel offers unbiased reviews, market analysis, and insights into the latest trends in the crypto industry. 

Whether you're a beginner or an experienced investor, Coin Bureau provides valuable information to help you navigate the complex world of cryptocurrencies.

Crypto Banter

In the Moon Awards survey, the Crypto Banter YouTube channel secured the 3rd position with 16.5% of the total votes.

Crypto Banter is a dynamic YouTube channel hosted by Ran Neuner that offers informative content and entertaining discussions about cryptocurrencies. 

The hosts engage with industry experts, traders, and influencers to give viewers valuable insights and market updates. If you're looking for a channel that combines education with entertainment, Crypto Banter is a great choice.

Altcoin Daily

In the Moon Awards survey, the Altcoin Daily YouTube channel secured the 4th position with 5.8% of the total votes.

Altcoin Daily is a popular YouTube channel Aaron and Austin Arnold host focusing on altcoins and blockchain projects. The channel updates the latest news, market trends, and cryptocurrency investment opportunities daily. 

With a strong emphasis on research and analysis, Altcoin Daily aims to educate viewers about the potential of different digital assets.

Ivan on Tech

In the Moon Awards survey, Ivan on Tech YouTube channel secured the 5th position with 2.8% of the total votes.

Ivan on Tech is a widely recognized YouTube channel hosted by Ivan Liljeqvist, a blockchain educator and developer. The channel covers various topics, including blockchain technology, cryptocurrencies, and decentralized finance (DeFi). 

Ivan's in-depth knowledge and ability to explain complex concepts in a simple manner make his channel a valuable resource for both beginners and experienced crypto enthusiasts.

Alex Becker

In the Moon Awards survey, Alex Becker's YouTube channel secured the 6th position with 2.3% of the total votes.

Alex Becker is a prominent figure in the crypto community, and his YouTube channel offers a unique perspective on investing and entrepreneurship. While not solely focused on cryptocurrencies, 

Alex provides insights into various investment strategies and opportunities, including the crypto market. His channel is an excellent resource for those looking to broaden their investment horizons.

Virtual Bacon

In the Moon Awards survey, the Virtual Bacon YouTube channel secured the 7th position with 2% of the total votes.

Virtual Bacon is a YouTube channel hosted by Dennis dedicated to providing educational content about cryptocurrencies and blockchain technology. 

Virtual Bacon covers various topics, including tutorials, market analysis, and project reviews. With a focus on simplifying complex concepts, Virtual Bacon's channel is a valuable resource for beginners in crypto.

Elliotrades

In the Moon Awards survey, Elliotrades YouTube channel secured the 8th position with 1.7% of the total votes.

Elliotrades is a YouTube channel that offers technical analysis and market insights for cryptocurrencies. The host, Elliot, combines his expertise in chart analysis with fundamental research to provide viewers with a well-rounded perspective on the market. 

Elliotrades offers valuable insights to help you make informed decisions whether you're interested in short-term trading or long-term investing.

Ben Armstrong

In the Moon Awards survey, Ben Armstrong's YouTube channel secured the 9th position with 1.5% of the total votes.

Ben Armstrong, also known as BitBoy Crypto, is a popular YouTube personality in the crypto community. His channel covers various topics, including market updates, project reviews, and interviews with industry experts. 

With his engaging personality and informative content, Ben Armstrong's channel is a go-to resource for many crypto enthusiasts.

Paul Barron Network

In the Moon Awards survey, Paul Barron Network's YouTube channel secured the 10th position with 1.4% of the total votes.

The Paul Barron Network is a YouTube channel that explores the intersection of technology and finance, including cryptocurrencies. The channel provides insights into the latest trends, market analysis, and interviews with industry leaders. 

Paul Barron's unique perspective and in-depth coverage make his channel a valuable resource for crypto enthusiasts.

Conclusion

Staying informed and engaged in cryptocurrencies is essential for making informed investment decisions. The YouTube channels listed above offer a wealth of knowledge, market analysis, and educational content to help you navigate the ever-changing crypto landscape. 

Whether you're a beginner or an experienced investor, these channels provide valuable insights and perspectives to enhance your understanding of cryptocurrencies. 

Remember always to research and consider multiple sources of information before making any investment decisions in the crypto space.

Disclaimer

The information provided on this website does not constitute investment advice, financial advice, trading advice, or any other advice, and you should not treat any of the website's content as such.

Token Metrics does not recommend buying, selling, or holding any cryptocurrency. Conduct your due diligence and consult your financial advisor before making investment decisions.

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About Token Metrics
Token Metrics: AI-powered crypto research and ratings platform. We help investors make smarter decisions with unbiased Token Metrics Ratings, on-chain analytics, and editor-curated “Top 10” guides. Our platform distills thousands of data points into clear scores, trends, and alerts you can act on.
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Recent Posts

Research

Crypto Trading Signals API: Put Bullish/Bearish Calls Right in Your App

Token Metrics Team
4

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

  1. Get API Key — create a key and start free.
  2. Run Hello-TM — confirm your first successful call.
  3. 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.

Research

Fundamental Grade Crypto API: Real Crypto Fundamentals in One Score

Token Metrics Team
3

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.

Research

Fundamental Grade Crypto API: Invest with Conviction Using Real Project Signals

Token Metrics Team
4

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!

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)

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.

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