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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.
Building High-Performance APIs with FastAPI
FastAPI has rapidly become a go-to framework for Python developers who need fast, async-ready web APIs. In this post we break down why FastAPI delivers strong developer ergonomics and runtime performance, how to design scalable endpoints, and practical patterns for production deployment. Whether you are prototyping an AI-backed service or integrating real-time crypto feeds, understanding FastAPI's architecture helps you build resilient APIs that scale.
Overview: What Makes FastAPI Fast?
FastAPI combines modern Python type hints, asynchronous request handling, and an automatic interactive API docs system to accelerate development and runtime efficiency. It is built on top of Starlette for the web parts and Pydantic for data validation. Key advantages include:
- Asynchronous concurrency: Native support for async/await lets FastAPI handle I/O-bound workloads with high concurrency when served by ASGI servers like Uvicorn or Hypercorn.
- Type-driven validation: Request and response schemas are derived from Python types, reducing boilerplate and surface area for bugs.
- Auto docs: OpenAPI and Swagger UI are generated automatically, improving discoverability and client integration.
These traits make FastAPI suitable for microservices, ML model endpoints, and real-time data APIs where latency and developer velocity matter.
Performance & Scalability Patterns
Performance is a combination of framework design, server selection, and deployment topology. Consider these patterns:
- ASGI server tuning: Use Uvicorn with Gunicorn workers for multi-core deployments (example: Gunicorn to manage multiple Uvicorn worker processes).
- Concurrency model: Prefer async operations for external I/O (databases, HTTP calls). Use thread pools for CPU-bound tasks or offload to background workers like Celery or RQ.
- Connection pooling: Maintain connection pools to databases and upstream services to avoid per-request handshake overhead.
- Horizontal scaling: Deploy multiple replicas behind a load balancer and utilize health checks and graceful shutdown to ensure reliability.
Measure latency and throughput under realistic traffic using tools like Locust or k6, and tune worker counts and max requests to balance memory and CPU usage.
Best Practices for Building APIs with FastAPI
Adopt these practical steps to keep APIs maintainable and secure:
- Schema-first design: Define request and response models early with Pydantic, and use OpenAPI to validate client expectations.
- Versioning: Include API versioning in your URL paths or headers to enable iterative changes without breaking clients.
- Input validation & error handling: Rely on Pydantic for validation and implement consistent error responses with clear status codes.
- Authentication & rate limiting: Protect endpoints with OAuth2/JWT or API keys and apply rate limits via middleware or API gateways.
- CI/CD & testing: Automate unit and integration tests, and include performance tests in CI to detect regressions early.
Document deployment runbooks that cover database migrations, secrets rotation, and safe schema migrations to reduce operational risk.
Integrating AI and Real-Time Data
FastAPI is commonly used to expose AI model inference endpoints and aggregate real-time data streams. Key considerations include:
- Model serving: For CPU/GPU-bound inference, consider dedicated model servers (e.g., TensorFlow Serving, TorchServe) or containerized inference processes, with FastAPI handling orchestration and routing.
- Batching & async inference: Implement request batching if latency and throughput profiles allow it. Use async I/O for data fetches and preprocessing.
- Data pipelines: Separate ingestion, processing, and serving layers. Use message queues (Kafka, RabbitMQ) for event-driven flows and background workers for heavy transforms.
AI-driven research and analytics tools can augment API development and monitoring. For example, Token Metrics provides structured crypto insights and on-chain metrics that can be integrated into API endpoints for analytics or enrichment workflows.
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
What is FastAPI and when should I use it?
FastAPI is a modern Python web framework optimized for building APIs quickly using async support and type annotations. Use it when you need high-concurrency I/O performance, automatic API docs, and strong input validation for services like microservices, ML endpoints, or data APIs.
Should I write async or sync endpoints?
If your endpoint performs network or I/O-bound operations (database queries, HTTP calls), async endpoints with awaitable libraries improve concurrency. For CPU-heavy tasks, prefer offloading to background workers or separate services to avoid blocking the event loop.
What are common deployment options for FastAPI?
Common patterns include Uvicorn managed by Gunicorn for process management, containerized deployments on Kubernetes, serverless deployments via providers that support ASGI, and platform-as-a-service options that accept Docker images. Choose based on operational needs and scaling model.
How do I secure FastAPI endpoints?
Implement authentication (OAuth2, JWT, API keys), enforce HTTPS, validate inputs with Pydantic models, and apply rate limiting. Use security headers and monitor logs for suspicious activity. Consider using API gateways for centralized auth and throttling.
How should I monitor and debug FastAPI in production?
Instrument endpoints with structured logging, distributed tracing, and metrics (request latency, error rates). Use APM tools compatible with ASGI frameworks. Configure health checks, and capture exception traces to diagnose errors without exposing sensitive data.
How do I test FastAPI applications?
Use the TestClient from FastAPI (built on Starlette) for endpoint tests, and pytest for unit tests. Include schema validation tests, contract tests for public APIs, and performance tests with k6 or Locust for load characterization.
Disclaimer: This article is educational and technical in nature. It explains development patterns, architecture choices, and tooling options for API design and deployment. It is not financial, trading, or investment advice. Always conduct independent research and follow your organizations compliance policies when integrating external data or services.
Building High-Performance APIs with FastAPI
FastAPI has emerged as a go-to framework for building fast, scalable, and developer-friendly APIs in Python. Whether you are prototyping a machine learning inference endpoint, building internal microservices, or exposing realtime data to clients, understanding FastAPI’s design principles and best practices can save development time and operational costs. This guide walks through the technology fundamentals, pragmatic design patterns, deployment considerations, and how to integrate modern AI tools safely and efficiently.
Overview: What Makes FastAPI Fast?
FastAPI is built on Starlette for the web parts and Pydantic for data validation. It leverages Python’s async/await syntax and ASGI (Asynchronous Server Gateway Interface) to handle high concurrency with non-blocking I/O. Key features that contribute to its performance profile include:
- Async-first architecture: Native support for asynchronous endpoints enables efficient multiplexing of I/O-bound tasks.
- Automatic validation and docs: Pydantic-based validation reduces runtime errors and generates OpenAPI schemas and interactive docs out of the box.
- Small, focused stack: Minimal middleware and lean core reduce overhead compared to some full-stack frameworks.
In practice, correctly using async patterns and avoiding blocking calls (e.g., heavy CPU-bound tasks or synchronous DB drivers) is critical to achieve the theoretical throughput FastAPI promises.
Design Patterns & Best Practices
Adopt these patterns to keep your FastAPI codebase maintainable and performant:
- Separate concerns: Keep routing, business logic, and data access in separate modules. Use dependency injection for database sessions, authentication, and configuration.
- Prefer async I/O: Use async database drivers (e.g., asyncpg for PostgreSQL), async HTTP clients (httpx), and async message brokers when possible. If you must call blocking code, run it in a thread pool via asyncio.to_thread or FastAPI’s background tasks.
- Schema-driven DTOs: Define request and response models with Pydantic to validate inputs and serialize outputs consistently. This reduces defensive coding and improves API contract clarity.
- Version your APIs: Use path or header-based versioning to avoid breaking consumers when iterating rapidly.
- Pagination and rate limiting: For endpoints that return large collections, implement pagination and consider rate-limiting to protect downstream systems.
Applying these patterns leads to clearer contracts, fewer runtime errors, and easier scaling.
Performance Tuning and Monitoring
Beyond using async endpoints, real-world performance tuning focuses on observability and identifying bottlenecks:
- Profiling: Profile endpoints under representative load to find hotspots. Tools like py-spy or Scalene can reveal CPU vs. I/O contention.
- Tracing and metrics: Integrate OpenTelemetry or Prometheus to gather latency, error rates, and resource metrics. Correlate traces across services to diagnose distributed latency.
- Connection pooling: Ensure database and HTTP clients use connection pools tuned for your concurrency levels.
- Caching: Use HTTP caching headers, in-memory caches (Redis, Memcached), or application-level caches for expensive or frequently requested data.
- Async worker offloading: Offload CPU-heavy or long-running tasks to background workers (e.g., Celery, Dramatiq, or RQ) to keep request latency low.
Measure before and after changes. Small configuration tweaks (worker counts, keepalive settings) often deliver outsized latency improvements compared to code rewrites.
Deployment, Security, and Scaling
Productionizing FastAPI requires attention to hosting, process management, and security hardening:
- ASGI server: Use a robust ASGI server such as Uvicorn or Hypercorn behind a process manager (systemd) or a supervisor like Gunicorn with Uvicorn workers.
- Containerization: Containerize with multi-stage Dockerfiles to keep images small. Use environment variables and secrets management for configuration.
- Load balancing: Place a reverse proxy (NGINX, Traefik) or cloud load balancer in front of your ASGI processes to manage TLS, routing, and retries.
- Security: Validate and sanitize inputs, enforce strict CORS policies, and implement authentication and authorization (OAuth2, JWT) consistently. Keep dependencies updated and monitor for CVEs.
- Autoscaling: In cloud environments, autoscale based on request latency and queue depth. For stateful workloads or in-memory caches, ensure sticky session or state replication strategies.
Combine operational best practices with continuous monitoring to keep services resilient as traffic grows.
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: How fast is FastAPI compared to Flask or Django?
FastAPI often outperforms traditional WSGI frameworks like Flask or Django for I/O-bound workloads because it leverages ASGI and async endpoints. Benchmarks depend heavily on endpoint logic, database drivers, and deployment configuration. For CPU-bound tasks, raw Python performance is similar; offload heavy computation to workers.
FAQ: Should I rewrite existing Flask endpoints to FastAPI?
Rewrite only if you need asynchronous I/O, better schema validation, or automatic OpenAPI docs. For many projects, incremental migration or adding new async services is a lower-risk approach than a full rewrite.
FAQ: How do I handle background tasks and long-running jobs?
Use background workers or task queues (Celery, Dramatiq) for long-running jobs. FastAPI provides BackgroundTasks for simple fire-and-forget operations, but distributed task systems are better for retries, scheduling, and scaling.
FAQ: What are common pitfalls when using async in FastAPI?
Common pitfalls include calling blocking I/O inside async endpoints (e.g., synchronous DB drivers), not using connection pools properly, and overusing threads. Always verify that third-party libraries are async-compatible or run them in a thread pool.
FAQ: How can FastAPI integrate with AI models and inference pipelines?
FastAPI is a good fit for serving model inference because it can handle concurrent requests and easily serialize inputs and outputs. For heavy inference workloads, serve models with dedicated inference servers (TorchServe, TensorFlow Serving) or containerized model endpoints and use FastAPI as a thin orchestration layer. Implement batching, request timeouts, and model versioning to manage performance and reliability.
Disclaimer
This article is educational and technical in nature. It does not provide investment, legal, or professional advice. Evaluate tools and design decisions according to your project requirements and compliance obligations.
Fast, Reliable APIs with FastAPI
Fast API design is no longer just about response time — it’s about developer ergonomics, safety, observability, and the ability to integrate modern AI services. FastAPI (commonly referenced by the search phrase "fast api") has become a favored framework in Python for building high-performance, async-ready APIs with built-in validation. This article explains the core concepts, best practices, and deployment patterns to help engineering teams build reliable, maintainable APIs that scale.
Overview: What makes FastAPI distinct?
FastAPI is a Python web framework built on top of ASGI standards (like Starlette and Uvicorn) that emphasizes developer speed and runtime performance. Key differentiators include automatic request validation via Pydantic, type-driven documentation (OpenAPI/Swagger UI generated automatically), and first-class async support. Practically, that means less boilerplate, clearer contracts between clients and servers, and competitive throughput for I/O-bound workloads.
Async model and performance considerations
At the heart of FastAPI’s performance is asynchronous concurrency. By leveraging async/await, FastAPI handles many simultaneous connections efficiently, especially when endpoints perform non-blocking I/O such as database queries, HTTP calls to third-party services, or interactions with AI models. Important performance factors to evaluate:
- ASGI server choice: Uvicorn and Hypercorn are common; tuning workers and loop settings affects latency and throughput.
- Blocking calls: Avoid CPU-bound work inside async endpoints; offload heavy computation to worker processes or task queues.
- Connection pooling: Use async database drivers and HTTP clients (e.g., asyncpg, httpx) with pooled connections to reduce latency.
- Metrics and profiling: Collect request duration, error rates, and concurrency metrics to identify hotspots.
Design patterns: validation, schemas, and dependency injection
FastAPI’s integration with Pydantic makes data validation explicit and type-driven. Use Pydantic models for request and response schemas to ensure inputs are sanitized and outputs are predictable. Recommended patterns:
- Separate DTOs and domain models: Keep Pydantic models for I/O distinct from internal database or business models to avoid tight coupling.
- Dependencies: FastAPI’s dependency injection simplifies authentication, database sessions, and configuration handling while keeping endpoints concise.
- Versioning and contracts: Expose clear OpenAPI contracts and consider semantic versioning for breaking changes.
Integration with AI services and external APIs
Many modern APIs act as orchestrators for AI models or third-party data services. FastAPI’s async-first design pairs well with calling model inference endpoints or streaming responses. Practical tips when integrating AI services:
- Use async clients to call external inference or data APIs to prevent blocking the event loop.
- Implement robust timeouts, retries with backoff, and circuit breakers to handle intermittent failures gracefully.
- Cache deterministic responses where appropriate, and use paginated or streaming responses for large outputs to reduce memory pressure.
Deployment, scaling, and observability
Deploying FastAPI to production typically involves containerized ASGI servers, an API gateway, and autoscaling infrastructure. Core operational considerations include:
- Process model: Run multiple Uvicorn workers per host for CPU-bound workloads or use worker pools for synchronous tasks.
- Autoscaling: Configure horizontal scaling based on request latency and queue length rather than CPU alone for I/O-bound services.
- Logging and tracing: Integrate structured logs, distributed tracing (OpenTelemetry), and request/response sampling to diagnose issues.
- Security: Enforce input validation, rate limiting, authentication layers, and secure secrets management.
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
What is the difference between FastAPI and Flask?
FastAPI is built for the async ASGI ecosystem and emphasizes type-driven validation and automatic OpenAPI documentation. Flask is a synchronous WSGI framework that is lightweight and flexible but requires more manual setup for async support, validation, and schema generation. Choose based on concurrency needs, existing ecosystem, and developer preference.
When should I use async endpoints in FastAPI?
Use async endpoints when your handler performs non-blocking I/O such as database queries with async drivers, external HTTP requests, or calls to async message brokers. For CPU-heavy tasks, prefer background workers or separate services to avoid blocking the event loop.
How do Pydantic models help with API reliability?
Pydantic enforces input types and constraints at the boundary of your application, reducing runtime errors and making APIs self-documenting. It also provides clear error messages, supports complex nested structures, and integrates tightly with FastAPI’s automatic documentation.
What are common deployment pitfalls for FastAPI?
Common issues include running blocking code in async endpoints, inadequate connection pooling, missing rate limiting, and insufficient observability. Ensure proper worker/process models, async drivers, and graceful shutdown handling when deploying to production.
How can I test FastAPI applications effectively?
Use FastAPI’s TestClient (based on Starlette’s testing utilities) for endpoint tests and pytest for unit and integration tests. Mock external services and use testing databases or fixtures for repeatable test runs. Also include load testing to validate performance under expected concurrency.
Is FastAPI suitable for production-grade microservices?
Yes. When combined with proper patterns—type-driven design, async-safe libraries, containerization, observability, and scalable deployment—FastAPI is well-suited for production microservices focused on I/O-bound workloads and integrations with AI or external APIs.
Disclaimer
This article is for educational and informational purposes only. It does not constitute professional, legal, or investment advice. Evaluate tools and architectures according to your organization’s requirements and consult qualified professionals when needed.
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What are NFTs? NFT Art Explained | Future of NFTs
You may have heard of CryptoPunks, Bored Ape Yacht Club, and VeeFriends, but you may not understand what they are. These names may sound like random combinations of words, but they actually represent some of the most valuable non-fungible token (NFT) projects that have emerged in the past few years.
The world of crypto art and NFTs may appear complex and mysterious, with a mix of celebrities, influencers, and internet experts. But it's not as confusing as it seems. Let's start from the beginning.
What Is An NFT?
Nearly all crypto art that has been introduced to the market has been done so through the minting of non-fungible tokens (NFTs). NFTs are digital assets that have verified proof of ownership. While "fungible tokens" like the US dollar can be easily traded (like exchanging 4 quarters for a dollar), each NFT is unique and cannot be easily traded. For example, imagine a sketch of "Starry Night" by Vincent Van Gogh that has been authenticated by a fine art appraiser as an original. This sketch would be non-fungible because you could not easily exchange it for, say, an original sketch by Leonardo da Vinci. This concept is easy to understand with tangible items like art pieces or collectible cards, but when digital assets can range from a celebrity tweet to an iconic meme to a picture of a pimped out animated ape, it may be confusing.
How Can We Ensure Unique Authenticity?
This is where NFTs enter the scene. Say you are a graphic design artist who just finished your newest 1-of-1 piece of work and you want to sell it as an NFT. Whoever purchases this piece would not only receive the artwork but they would also receive a “digital receipt” that proves that this exact piece is original, unique and authentic.
“But What If I Just Screenshot This Digital Artwork? Wouldn’t I Technically Own the Piece as Well?”
This is the first question that many have mockingly asked on social media and internet forums. The easy answer: yes, you can screenshot practically all digital artwork, but no, that does not mean you own it.
For example, millions of people swarm into the Louvre every year, waiting patiently amidst a giddy crowd, just to capture a picture of the priceless Mona Lisa. Obviously, a picture of the Mona Lisa saved on your iPhone camera roll does not mean that you own that painting.
NFTs work the same way.
Just as the Louvre paid millions of dollars to own, maintain, and display the Mona Lisa in their museum, NFT buyers do the same. However, the main difference is that instead of paying dollars to house the art in a fancy museum, they are paying with cryptocurrency and housing their art in a virtual showcase, so to speak.
This is the basis for how NFTs, cryptocurrency, and blockchain technology are establishing a new and lucrative market for digital art and artists.
The Art of Being Digital
In a 2021 interview, Gary Vaynerchuk (founder of Vayner Media and creator of VeeFriends) made the following statement regarding NFTs. The interviewer remarks on the tangibility of NFTs stating, "the digital aspect, like, you can't see it" — Gary jumps in:
"Well, you can't see a blue check on Instagram? I don't walk around the world with a blue check tattooed on my forehead, but everybody sees it. You can't see my 9 million followers on Instagram, or can you? I would argue the reverse. I would argue that people can't see most of the fancy things you have in your house; that people can see more digital than real life."
And he's onto something, and I'd like to call that something "The Art of Being Digital". In our highly digitized world, our online outreach and interconnectivity is wildly amplified. Gary Vee currently has 9.9 million followers on Instagram — but without access to the internet — he has no way of interacting with that community and tapping into the true power of those 9.9 million people.
Why Do NFTs Have Value?
The value of an NFT is determined by the collective intentionality of those who are willing to buy and sell them. In other words, the value of an NFT is based on what people are willing to pay for it. This is similar to the way that the value of traditional art is determined by the market, with the value being based on factors such as the artist's fame and the rarity of the work.
The Tom Brady example illustrates this idea. On the surface, it might seem strange that someone would pay $430k for a digital picture of a cartoon ape. However, if we consider the fact that the buyer was Tom Brady and the seller was the well-known digital artist Trevor Jones, it becomes clearer that the value of the NFT was determined by the collective intentionality of those involved in the transaction.
Furthermore, the digital art of NFTs offers more than just a digital file and a high price tag. NFTs provide the ability for digital artists to monetize their work and for collectors to own and trade unique digital items. This opens up new opportunities for artists and collectors alike, and has led to the growth of a vibrant and exciting market for NFTs.
Join The Club
Celebrities such as Tom Brady, Post Malone, Steph Curry, and Jimmy Fallon have been buying Bored Ape NFTs. Bored Ape NFTs were introduced by the Bored Ape Yacht Club (BAYC) in April 2021 at a price of 0.08 Ethereum (ETH) each, or about $190 at the time. Since then, the price of Bored Apes has increased significantly, yielding substantial returns for early investors.
In addition to the potential for financial gain, buying a Bored Ape NFT also grants the buyer access to the BAYC community. This includes access to the BAYC Discord, where buyers can connect with other members of the club, including celebrities, and collaborate on NFT-related projects. BAYC also gives members priority access to future NFT drops, allowing them to expand their collections.
Minting and selling NFTs can also be highly lucrative for those who create their own NFT projects. This is another reason why celebrities and others may be interested in the NFT market. Creating and selling NFTs allows artists and other creators to monetize their digital work and gives collectors the opportunity to own unique digital items. The growth of the NFT market has created new opportunities for both artists and collectors, leading to a vibrant and exciting market for NFTs.
Blockchain, Smart Contracts, and Secondary Sales
Blockchain technology is used to record the conversion of traditional currency into cryptocurrency, such as Ethereum (ETH), in the NFT market. This transaction is recorded on the blockchain as public information that is easily accessible to anyone who wants to view it. This ensures transparency and helps to prevent fraud in the NFT market.
Smart contracts are programs stored on the blockchain that allow NFT creators to stipulate the conditions of resale. For example, a creator could draft a smart contract that allows them to earn a 10% commission on any subsequent resales of their NFT. This allows creators to continue to benefit from the success of their work, even after the initial sale.
Smart contracts also facilitate secondary sales in the NFT market. When the value of an NFT increases, the smart contract associated with that NFT can automatically distribute any profits from the sale to the relevant parties, such as the creator or the NFT platform. For example, if the value of Tom Brady's Bored Ape NFT increased from $430k to $530k, the smart contract could automatically distribute the $100k profit to the Bored Ape Yacht Club, if that was stipulated in the contract.
This use of smart contracts helps to ensure that all parties are fairly compensated for their contributions to the NFT market, and it allows for efficient and transparent transactions without the need for intermediaries.
The Future Of Crypto-Art
Grammy-winning artist Tyler, the Creator recently questioned the value of NFTs, stating that most of the examples he has seen are not "beautiful art." While art is subjective and many NFTs are AI-generated, there are still many ways in which NFTs can offer value in the real world.
First, NFTs can be used to represent tangible experiences and achievements. Instead of framing a concert ticket or a season pass, these items could be represented as NFTs, allowing individuals to proudly display their experiences and achievements in the digital world. This could be especially beneficial for VIP experiences and exclusive memberships.
Second, NFTs can provide a level of authenticity and scarcity that cannot be achieved with physical items. This is especially useful for limited edition items and collectibles, which can be authenticated and traded easily on the blockchain.
Third, the use of smart contracts can ensure that all parties are fairly compensated for their contributions to the NFT market. This allows for transparent and efficient transactions without the need for intermediaries.
Overall, while some may dismiss NFTs as "silly little digital artworks," they have the potential to reshape not just the art world, but the world itself.

What is WETH: Wrapped Ethereum? [Answered]
If you are wondering what is WETH, short for Wrapped Ethereum, this is the place to be.
Cryptocurrencies have gained a lot of popularity in recent years, with many investors looking to invest in the digital assets. However, the use of these cryptocurrencies on decentralized applications (dApps) can be limited due to compatibility issues. This is where wrapped tokens come in. Wrapped tokens are tokenized versions of cryptocurrencies that can be pegged to the value of the original coin and used on different blockchain networks. In this article, we will explain what WETH is and how it works.
What is WETH or Wrapped Ethereum?
WETH is the abbreviation for Wrapped Ether, which is a tokenized version of the cryptocurrency Ether (ETH) that is pegged to its value. This means that the value of WETH remains the same as ETH, but it allows for increased interoperability between Ethereum and other blockchain networks.
How Does Wrapped Ethereum Work?
In order to create Wrapped Ethereum, a custodian must hold the collateral (in this case, ETH). This custodian can be a merchant, multi-signature wallet, or a smart contract. To create WETH, an investor sends their ETH to the custodian, and in return, a wrapped version of the ETH is created. This process is similar to how stablecoins are created, as they are essentially "wrapped USD" that can be redeemed for fiat dollars at any time.
What Makes Wrapped Ethereum Unique?
Wrapped tokens like WETH allow investors to hold onto their ETH while using it on other blockchain networks. This increases liquidity and capital efficiency, as investors can wrap their assets and deploy them on other chains. Wrapping Ether can also reduce transaction times and fees, as Ethereum often suffers from high gas fees. However, using wrapped tokens also means relying on a custodian and taking on additional risks.
Are ETH and WETH Different?
Yes, ETH and WETH are different. ETH is the original cryptocurrency, while WETH is a wrapped version of ETH that is ERC-20 compatible. This means that it can be easily used on a wide range of decentralized applications (dApps), but it is equivalent to ETH in terms of value. Investors may need to convert their ETH to WETH in order to use certain dApps.

What Causes Crypto To Rise? [Answered]
Do you want to know what causes crypto to rise? This is the place to be.
Cryptocurrency prices are highly volatile and can fluctuate rapidly, which can be both good and bad for investors. To understand what causes crypto to rise in value, it's important to first understand how cryptocurrencies differ from traditional government-controlled currencies. Unlike fiat currencies, which are backed by a central authority and have value because consumers trust them, cryptocurrencies are decentralized and not controlled by any one entity. This means that cryptocurrencies gain value in different ways than traditional currencies. In this article, we will explore some of the factors that can cause the value of cryptocurrencies to increase.
What Causes Crypto to Rise?
Let's find out what causes cryptocurrencies to rise in value.
Supply and Demand
The value of cryptocurrency is determined by supply and demand, just like any other asset. When demand for a particular cryptocurrency is higher than the supply, its value will increase. For example, if there is a scarcity of a certain cryptocurrency, its value will rise due to the unequal balance between supply and demand.
Each cryptocurrency project typically announces its plans for minting and burning tokens, which is the process of creating and destroying tokens to control the supply. Some cryptocurrencies, such as Bitcoin, have a fixed maximum supply, while others, such as Ether, have no limit on the number of tokens that can be created. Some cryptocurrencies also have mechanisms in place to burn tokens in order to prevent the circulating supply from growing too large and causing inflation.
The demand for a cryptocurrency can increase for a variety of reasons, such as increased awareness of the project or increased utility of the token. So, one factor that can cause the value of a cryptocurrency to rise is consumer demand for that particular coin.
Exchange Availability
Popular cryptocurrencies like Bitcoin and Ether are typically available on multiple exchange platforms, which makes them easily accessible to a large number of investors. However, smaller cryptocurrencies may only be available on a few exchange platforms, which can limit their reach and make them less attractive to investors.
If a cryptocurrency is listed on many exchange platforms, it can increase the number of investors who are able to buy it and drive up demand. As we know, when demand for a cryptocurrency increases, its price will also rise. So, another factor that can cause the value of a cryptocurrency to increase is its availability on exchange platforms.
Competition
There are thousands of different cryptocurrencies and new projects and tokens are being launched all the time. Because the entry barriers to creating a new cryptocurrency are relatively low, the most important aspect of a cryptocurrency's success is building a network of users. Applications built on blockchain technology can help to build networks quickly, especially if they have an advantage over competing applications.
In a situation where a new competitor gains traction, it can take value away from the incumbent cryptocurrency, causing its price to drop as the new competitor's price rises. Overall, competition is an important factor to consider when looking at the value of a cryptocurrency.
Internal Governance
Cryptocurrency networks typically operate according to a fixed set of rules. Some cryptocurrencies, known as governance tokens, allow stakeholders to have a say in the future of the project, including how the token is used or mined. In order for changes to be made to the protocol of a token, there must be agreement among stakeholders.
For example, the Ethereum network upgraded from a proof-of-work to a proof-of-stake consensus mechanism, making much of the expensive mining equipment obsolete. This will likely have an impact on the value of Ether.
In theory, governance tokens should rise in value as stakeholders see fit. However, the slow process of improving protocols and updating software can limit the appreciation of cryptocurrency values.

What is KYC in Regard to Crypto? [Answered]
KYC, or "know your customer," is a term used to describe the identity and background checks that financial institutions are required to conduct on their customers. These checks are important for risk mitigation and are part of the Anti-Money Laundering (AML) regulations that these institutions must follow. In the cryptocurrency space, KYC regulations are becoming increasingly important as more and more people use digital assets for financial transactions. By conducting KYC checks, cryptocurrency exchanges and other financial institutions can help prevent money laundering and other illegal activities.
History of Know Your Customer
The United States government has implemented a number of measures to help financial service institutions detect and prevent financial crimes. These measures were established by the USA Patriot Act of 2001 and were finalized in 2002, making KYC (know your customer) checks mandatory for all US financial institutions. In 2016, the Department of Treasury's Financial Crimes Enforcement Network (FinCEN) expanded these regulations to include the FinTech sector, which resulted in virtual currency exchange platforms being declared official money services businesses under the Bank Secrecy Act. This means that these platforms are subject to all AML (anti-money laundering) and KYC requirements.
KYC in Practice
While it is up to regulated entities (banks, crypto exchanges, and other financial institutions) to implement the specifics of KYC and AML regulations, the KYC practices and programs generally include three essential components:
- Customer Identification Program (CIP): Through CIP, firms verify the customer's identity through independent data. This includes the client's name, address, and date of birth. Some firms even request a form of identification (passport or ID), social security number, or a video and selfie from their customers to verify their identity.
- Customer Due Diligence (CDD): CDD is the process of screening the background of a prospective client. Thorough background checks are essential to understand the risks that a new customer could bring to the firm. This process can expose fraudulent activity that potential new clients may have taken part in. If necessary, firms will perform enhanced due diligence (EDD) to get a deeper look into the new customer's past in order to mitigate risk further.
- Ongoing Monitoring and Risk Management: Even after Customer Identification Programs and Due Diligence take place, firms will continue to monitor and manage the potential risks of new customers. They will continue to oversee their customer's transactions and flag anything unusual. This ensures ongoing risk mitigation which is essential for the trust between financial firms and their clients.
Why is KYC/AML Important?
KYC regulations aim to discern that customers are who they say they are. This helps to prevent money laundering, terrorist financing, and fraud within the financial market.
Know Your Customer and other Anti-Money Laundering regulations benefit both financial institutions and their clients. These rules improve security and mitigate risk by keeping bad actors off the books. This acts as an assurance for customers and leads to a more trustworthy company-client relationship.
KYC and Cryptocurrency
The cryptocurrency industry is still relatively new, and its decentralized nature can make it difficult to implement KYC (know your customer) measures. Crypto regulations are also still evolving as regulators seek to prevent financial crimes using cryptocurrencies and blockchain technology. As mentioned, crypto exchanges are considered official money services businesses and are therefore subject to KYC rules. These rules require exchanges to conduct identity and background checks on their customers, which may include requiring a photo ID. Many exchanges only allow transactions to occur once KYC is completed, especially for large sums of money.
However, some exchanges may try to avoid these rules by establishing their companies in countries with less stringent regulations. Exchanges that do not follow KYC and AML laws may not be available to use in countries that have these laws. This is why implementing KYC practices can actually increase an exchange's global reach by making it available in countries that have these laws, such as the US.
As the FinTech industry continues to grow and develop, it is important to regulate and mitigate risks to prevent illegal or suspicious behavior. AML laws are essential for ensuring fairness and equity in the emerging financial technology industry. Over time, regulations will continue to evolve to keep pace with the rapidly changing market.

When Does the Crypto Market Close? [Answered]
There are a few reasons why people might want to know the closing time of the market. First, knowing the closing time can help traders plan their buying and selling activities around the times when the market is most active. This can help them take advantage of price movements and increase their chances of making profitable trades. Second, knowing the closing time can also help investors manage their risk by allowing them to set limits on their trading activities. For example, an investor may want to avoid holding positions overnight in case of significant price movements while the market is closed.
If you want to trade cryptocurrencies, you may be wondering when the crypto market closes. We're here to provide the answer to that question and more.
When Does the Crypto Market Close?
The cryptocurrency market, unlike the stock exchange, does not close. Crypto markets are open 24/7, so you can buy, sell, and swap cryptocurrencies anytime you want. The 24/7 nature of the cryptocurrency market is a significant advantage for traders and investors. Because the market never closes, traders can respond to news and events as they happen, rather than having to wait for the market to open. This allows for more flexibility and can potentially lead to better trading decisions.
Additionally, the continuous trading activity in the crypto market can lead to increased liquidity and tighter spreads, which can make it easier for traders to buy and sell cryptocurrencies at the prices they want. This can be especially beneficial for investors who want to take advantage of short-term price movements or who need to execute large trades quickly.
Furthermore, the fact that the crypto market is always open can be useful for traders in different time zones. Because the market never closes, traders in any part of the world can access it and make trades at any time. This is particularly useful for traders who may not be able to trade during normal market hours due to work or other commitments.
What Time of Day is Crypto-Popular?
Cryptocurrencies are most commonly traded between 8:00 am and 4:00 pm in local time. As a rule of thumb, the market tends to see most of its activity take place on weekdays during the times in which the US stock exchange is open.
Strategies for Day Trading Crypto
The day trading method involves trading one or more shares during a given day to earn profits. It is buying and selling an asset (in this case, a cryptocurrency) within the same day or multiple times over the day. This allows the trader to take advantage of small price moves, which can be very lucrative. To thrive in crypto day trading, keeping your eye on the charts, analytics, and community announcements is very important. Token Metrics provides many of these valuable insights, thanks to our AI and Machine Learning models.
The strategy of day trading contrasts the popular buy and hold, aka HODL strategy, but it does have certain benefits for traders. It is essential to have a well-planned strategy for day trading to succeed in maximizing profits.
Range trading is a common strategy for day trading cryptocurrencies. This involves monitoring the market for drastic changes in price and volume, and buying and selling accordingly. For example, if you notice that the volume of a particular cryptocurrency has increased significantly, you may want to buy it when it reaches an oversold level and sell it when it reaches an overbought level. By doing this, you can take advantage of short-term price movements and potentially profit from them. It's important to remember, however, that the small market caps of many cryptocurrencies make them susceptible to manipulation by large buyers, so it's essential to carefully monitor the market and make informed trading decisions.
Another popular strategy is employing bots to automate your crypto investments. Certain platforms allow traders to customize trading bots to buy low and sell high. Platforms like these use bots to read the markets and let traders break from constantly tracking the blockchain themselves. Similarly, scalping allows traders to benefit from small price movements. Many scalpers use bots to accumulate smaller gains by buying and selling a crypto asset within seconds. Scalping tends to necessitate a larger bankroll to benefit to a greater extent.
The final way in which crypto traders can take advantage of day trading is through arbitrage. Arbitrage involves buying a cryptocurrency on one exchange market and selling it on another where a price discrepancy exists. The fact that the crypto market is unregulated allows for price discrepancies to take place between trading exchange markets. This means a specific cryptocurrency may sell for more on one market than another. This is known as trading the spread. A spread is the difference in a coin's buy and sell price on different platforms.
Traders must consider trading fees when using any day trading tactic, as trading fees may wipe out gains from multiple transactions.
Key Takeaways
The cryptocurrency market is non-stop. Crypto traders are not limited to trading hours, like stock or bond traders. There are a multitude of ways in which crypto traders can take advantage of the ever-changing market by implementing day-trading strategies. It is important to understand the volatility and risks that come with trading cryptocurrencies. It is best to take a measured approach when trading and investing in crypto, and do your own research to understand what tactics would provide significant profits and help achieve your investing goals.

Introducing Token Metrics Research
We are proud to announce Token Metrics Research, a dedicated platform to host all our research for our customers and crypto enthusiasts out there.
Token Metrics is an AI-driven crypto research platform. We bring to you the smartness of machine learning and Artificial Intelligence (AI) by blending the expertise of our investment team, data scientists, and developers to deliver comprehensive institutional-grade research. To help navigate this new asset class we have a team of analysts dedicatedly to researching the crypto space and producing research reports.
Token Metrics Research
For the past years, we have delivered premium research for our customers through our email newsletters, Token Metrics TV and our Youtube channel. We received feedback to have an archive and dedicated platform for all research media, so we created – Token Metrics Research.
- Free Access Articles: Access to crypto educational articles, product announcements and expert reviews on digital assets.
- Premium Access Articles: Premium access includes our institutional-grade research covering Market Update, Hidden Gems from all crypto sectors including DeFi, NFTs, Gaming and Metaverse, Web3 infrastructure projects, project deep-dive analysis, project code reviews, and more.
- Token Metrics TV: A network featuring free daily videos by our team of crypto investment specialists. We also host our Premium and VIP customers weekly webinars only accessible to our Token Metrics Premium and VIP plan customers.
*Token Metrics TV will be accessible through research.tokenmetrics.com*
How To Access Token Metrics Research?
Non-Customers can read all articles labeled ‘Free’ including Crypto Basics, Token Metrics Tutorials, Crypto Moon Awards, and News and Thought-Leadership articles. Non-customers can also read any two premium reports per month for Free. All Shows on Token Metrics TV are FREE with the exception of premium customer webinars.
Basic Plan subscribers can read all Free articles, Token Metrics Navigator (published weekly) and any two Premium reports per month for Free. Basic Plan subscribers can also add all premium reports to their subscription for an additional $20/month. All Shows on Token Metrics TV are FREE including our daily market update with the exception of the premium webinars.
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NFTs Explained: What Are Non-Fungible Tokens?
NFTs, or non-fungible tokens, are gaining widespread popularity in the market for digital art and collectibles. In recent years, NFTs have become a cultural phenomenon, attracting the attention of crypto enthusiasts, digital art creators, and celebrities alike. As the Web 3.0 ecosystem continues to grow and adoption increases, many believe that NFTs will play a key role in the ownership of assets online.
So what are NFTs? Let's find out.
NFT Basics
NFTs, or non-fungible tokens, are a type of digital asset that represents ownership of something on the blockchain.
NFTs can be anything such as art, collectibles, music, profile pictures or PFP, DAO memberships, event tickets, gaming assets, virtual land, domain names, and so on. They can represent either completely digital assets or tokenized versions of assets that exist in the real world. Currently, there is a lot of excitement around using NFTs to sell virtual art.
Characteristics of NFTs
- Ownership: NFT represents digital ownership of an item on a blockchain
- Permanent: NFTs have data permanently stored within the token. This information includes images, messages, signatures, or any other data
- Programmable: An NFT can be programmed to do anything. For example, an NFT artwork might be programmed to pay the artist royalties on every secondary sale of that artwork
- Unique: NFTs are unique, and that uniqueness can be confirmed on a blockchain
How to Make an NFT
To create an NFT, or non-fungible token, you will need to first prepare your media file. NFTs can support a wide range of file types, including audio, images, and even 3D files. Some popular file types that are supported by NFTs include MP3, JPG, PNG, and GIF. You can also use 3D file formats like GLB to create NFTs that represent unique, digital objects.
Once your media is ready, you will need to set up a non-custodial wallet to securely store the cryptocurrency that you will use to buy, sell, and create NFTs. Non-custodial wallets are important because they allow you to retain control of your private keys, which are needed to access your cryptocurrency and make transactions. There are many different wallet options available, so it is important to do your research and choose one that is secure and user-friendly.
Once you have set up your wallet, you will need to buy Ethereum, or other fungible tokens depending on the blockchain being used, to cover the cost of minting your NFT. Ethereum is the most commonly used blockchain for NFTs, and it is typically the easiest to get started with. You can buy Ethereum using a variety of methods, including through a cryptocurrency exchange or from other individuals who are willing to sell.
Once you have your Ethereum, you will need to connect your wallet to an NFT marketplace like Rarible or OpenSea. These platforms allow you to easily create and mint your NFT, as well as trade and purchase NFTs created by others. To connect your wallet, simply tap the "Connect" button in the top right corner of the marketplace's website. This will create an account for you on the platform and allow you to begin creating your NFT.
To create your NFT, upload your media file to the platform and provide a description of your asset. You can choose to create a standalone piece, or create multiple NFTs of the same piece, each with its own unique characteristics. You can also set rules around royalties and other aspects of your NFT to ensure that you are fairly compensated for your work.
Once you are ready to mint your NFT, the process will require you to pay a small amount of ETH for transaction fees. This is necessary to get your NFT added to the blockchain and verified as unique. Once your NFT is minted, it will be available for trade and purchase on the marketplace. You can monitor the progress of your NFT and track its sales through your wallet or the marketplace's website.
NFT Secondary Markets
Creators make NFTs using blockchain-based minting platforms to retain more control over their creative output. Once NFTs are minted on a non-custodial wallet-compatible website, collectors and traders can sell these assets on the secondary market.
Here is a list of the most used NFT marketplaces:
- OpenSea: OpenSea is the first and largest marketplace for NFTs. OpenSea is building tools that allow consumers to trade their items, creators to launch new digital works, and developers to build rich, integrated marketplaces for their digital items. It recently announced the support for Solana-based NFTs.
- Coinbase NFT: Coinbase, a cryptocurrency exchange, recently launched its NFT marketplace in beta version to the public. This marketplace acts as a social media platform in which users can not only buy and sell NFTs but also interact with and showcase their collections using user profiles, likes, and comments.
- Solanart: Solanart is the first and largest fully-fledged NFT marketplace on Solana. Users can get quick and easy access to digital collectibles, and explore, buy, and sell NFTs that run on the Solana blockchain.
- Rarible: Rarible is a do-it-yourself NFT marketplace where you can mint NFTs when and how you please. Creators are highly favorable towards Rarible, as the minting process is free, easy, and unrestricted. Rarible’s native governance token “RARI” is used to incentivize platform users and give the community members a voice.
- Nifty Gateway: Nifty Gateway is owned by the Gemini crypto exchange and has become one of the most known NFT marketplaces lately. They focus on viral drops from artists like Beeple, Trevor Jones, Pak, and more.
- SuperRare: SuperRare (SR) is one of Ethereum’s debut crypto-art NFT marketplaces. Artists must be accepted to the platform before they can list their assets.
Notable NFT Projects
NFT-based companies have seen significant growth in recent years. Some notable examples include:
- Yuga Labs: a blockchain technology company that creates Ethereum-based NFTs and digital collectibles. Yuga's most valuable NFT collection is Bored Ape Yacht Club, which has seen a floor price of over 150 ETH at its all-time high. In addition to apes, Yuga has also created dog NFTs, mutant apes, and deeds for its Metaverse. The company recently acquired Larva Labs, bringing high-value projects like Cryptopunks and Meebits under the Yuga brand. Yuga is backed by investors like Coinbase, Samsung, and Mark Cuban.
- Doodles: a collection of 10,000 Ethereum-based NFTs created by artist BurntToast. The Doodles collection includes a wide range of visual traits, heads, costumes, and colorways. Owners of Doodles NFTs have exclusive access to new experiences like Space Doodles and Dooplicator.
- Okay Bears: a collection of 10,000 Solana-based NFTs. Ownership of an Okay Bear grants access to a community of collectors and exclusive products, merchandise, and events.
Investing in NFTs
NFTs, or non-fungible tokens, provide many benefits as an investment vehicle.
One of the main advantages of NFTs is that they allow physical objects, such as artwork, to be tokenized.
Additionally, NFTs offer greater liquidity for investors, making it easier to trade and sell their assets.
The Future of NFTs
NFTs offer a new way to represent and prove ownership of assets on the blockchain.
This technology has already been used for digital art, collectibles, and in-game assets, but it has the potential to be applied to a wide range of other industries as well. For example, tokenized real estate could provide a way for people to invest in property without the barriers to entry that currently exist.
High-end fashion brands like Louis Vuitton have also expressed interest in using NFTs to track the ownership of luxury items.
Additionally, NFTs can be used to tokenize certifications, degrees, and licenses, providing a way to securely track and maintain this sensitive data on the blockchain.
Overall, the potential applications for NFTs are nearly limitless.

How to Earn Crypto in 2024? 7 Simple Ways [Answered]
If you are looking for ways to earn free crypto this year, in 2024, this is the place to be. Yes, it is possible to earn free cryptocurrency by participating in certain activities or using certain services. For example, some websites and apps offer rewards in the form of cryptocurrency for completing tasks, such as answering surveys or watching videos.
Additionally, some cryptocurrencies, such as Bitcoin and Ethereum, can be earned through a process called mining, in which individuals use their computer's processing power to help verify and record transactions on the blockchain.
However, it is important to be cautious when seeking out opportunities to earn free cryptocurrency, as there are many scams and fraudulent schemes that claim to offer free crypto but actually steal users' personal information or funds. It is always a good idea to thoroughly research any opportunity before participating and to use only trusted and reputable sources.
How to Earn Free Crypto?
Many people never invest in cryptocurrencies due to fear of losing their money, or because they do not have enough money to invest in the first place. However, there are several ways to get cryptocurrencies for free without risking any of your own money.
Let's explore them all.
Learn and Earn Platforms
Learn and Earn platforms are a great way to earn free crypto while also gaining knowledge about the industry. These platforms, such as Coinbase and CoinMarketCap, offer users the opportunity to learn about specific coins and earn rewards in exchange.
To participate in a Learn and Earn platform, users typically need to open an account and pass a KYC verification. Once verified, users can access educational materials and quizzes on the platform, and earn rewards for completing them. These platforms regularly update their offerings, so it is important to check back frequently to see what new opportunities are available.
Airdrops
Airdrops are a popular method of earning free crypto. These are marketing campaigns drawn up by new crypto platforms to gain visibility and increase their customer base. As part of their marketing strategy, these platforms give out free coins to new and existing users in exchange for creating awareness about their project.
To qualify for an airdrop, users must typically be active crypto traders or at least have a crypto wallet. Airdrops can be a win-win for both the trading platform and the user, as the platform gains visibility and the user earns free crypto.
Play-To-Earn Games
Play-to-earn games are a fun and exciting way to earn free crypto. These games allow users to have fun while also earning rewards in the form of crypto. Examples of these games include CoinHunt World, where users can explore a digital environment and earn rewards for finding keys and answering trivia questions, and Crypto Popcoin, where users can earn rewards by grouping cryptocurrencies together and popping them.
To earn actual crypto through these games, users typically need to register their ERC-20 wallet address and have the real crypto token airdropped to their account. Some games may also allow users to earn crypto through their Coinbase account.
Cryptocurrency Dividends
Cryptocurrency dividends are a new way for investors to earn passive income through their digital assets. Similar to traditional stocks, some cryptocurrencies offer dividend payments to their holders as a reward for holding their tokens for a specific period.
These payments can be in the form of additional tokens or other cryptocurrencies, depending on the protocol. For instance, some blockchain networks offer staking rewards to users who lock up their coins to secure the network, while others distribute a portion of their transaction fees to token holders.
By earning crypto through dividends, investors can benefit from both capital appreciation and recurring income, potentially increasing their overall returns on investment. However, as with any investment, it is crucial to do thorough research and assess the risks before committing funds to any cryptocurrency project.
Credit Cards
One way to earn crypto through credit cards is by using a credit card that offers rewards or cashback in the form of cryptocurrency. Several credit card companies now offer rewards in a form of cryptocurrencies. Users can earn rewards on their purchases and then transfer the earned crypto to their digital wallet.
Another option is to use a crypto credit card, which allows users to earn rewards in cryptocurrency directly. These cards work like traditional credit cards, but instead of earning cashback or points, users earn crypto rewards that can be redeemed for various products and services.
Referral Bonuses
Referral bonuses are a common way for people to earn cryptocurrency without necessarily making a direct investment or engaging in trading. Referral programs are typically offered by cryptocurrency exchanges, wallets, and other platforms that offer a commission or bonus for referring new users to their services.
To earn crypto through referral bonuses, individuals simply need to share their unique referral links with friends, family, and acquaintances who might be interested in using the platform. When someone signs up using the link and completes certain actions, such as making a deposit or trading, the referrer receives a bonus in cryptocurrency.
Referral bonuses can vary in size and scope, but they can be a great way to earn crypto passively and without having to invest a significant amount of time or money.
Browser and Search Engine Rewards
Some search engines and browsers, such as Brave and Pre-search, offer rewards in the form of crypto for viewing ads or just browsing. This is a simple and easy way to earn free crypto without having to invest any money.
While earning free crypto can be a great way to get started in the world of cryptocurrency, it is important to be cautious. This is because not all opportunities to earn free crypto are legitimate or safe.
There are many scams and fraudulent schemes that claim to offer free crypto, but are actually designed to steal users' personal information or funds. These scams can take many forms, such as fake airdrops, fake games, or fake search engines that promise rewards but never actually deliver on them.
Conclusion
Therefore, it is important for users to carefully research and verify any opportunity to earn free crypto before participating. They should look for reputable platforms and sources, and be wary of any offers that seem too good to be true.
Additionally, users should always protect their personal information and crypto assets by using secure wallets and following best practices for online security.
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.

What is Web 3.0? Web 1 vs Web 2 vs Web 3 | Explained
If you're wondering what is Web 3, this is the place to be.
In this article, we'll learn more about the evolution of web over time, and what's next.
Evolution of Web
Being around for 3 decades, the internet has gone through multiple stages of evolution. With each evolution comes new tools and applications relevant to modern-day users, leading us to Web 3.0.
The first generation of the web is called Web 1.0. As the earliest version of the internet, it is known as the “read-only web”. As its name implies, web users can look up facts and information and read upon it. Websites were basic and had very limited functions.
When it comes to Web 1.0, there is a lack of interactions that takes place between online internet content and internet users. Sites are not interactive and there are no contributions, alterations, or impacts that can be made by the average website visitor. Most common from the 1990s to 2005, Web 1.0 connected information with users.
This lack of interaction made Web 1.0 flat and stationary. As the name suggests, “the read-only Web” lacks the forms, visuals, controls, and interactivity we enjoy on today’s Internet. The developers of Web 1.0 sites typically build their sites and develop in text or graphic format.
Static websites and personal sites would be considered part of Web 1.0. Unlike today where many websites aim for high traffic and user return rates, content distributed on Web 1.0 may be useful but does not give people a reason to return.
Web 3.0, also known as the semantic web, is the current stage of the evolution of the web. It is characterized by the use of artificial intelligence and machine learning to create a more intuitive and personalized web experience.
Web 3.0 also enables the integration of data from multiple sources and the creation of intelligent, self-learning systems that can understand the meaning and context of information on the web. This stage of the web is still in development, but it promises to bring significant advancements in terms of user experience and the ability of the web to connect and analyze data.
Web 3.0 – The New Internet
The future stages of the internet will be built on public blockchains. Blockchains are distributed databases that are shared among a number of computer networks. Web 3.0 is decentralized, which means there is no central authority. This is possible because with Web 3.0, information is stored in multiple locations concurrently.
Additionally, because it is trustless and permissionless, anyone can interact with the web without permission from a middleman. This gives users the freedom to interact with the web privately or publicly without having to trust a middleman.
With Web 3.0, individuals finally have the ability to own and govern parts of the internet, rather than relying on companies like Google or Facebook to access it.
Web 3.0 is still very new, and we have not even come close to unlocking its full potential. Characteristics of Web 3.0 can already be seen in blockchain games, the Metaverse, and decentralized finance.
In short, Web 3.0 allows users to interact, exchange information, and securely facilitate different types of transactions without a central authority, which means that Web 3.0 users become content owners rather than just content users.
Advantages of Web 3.0
Web 3.0 offers several key benefits to users, including:
- Ownership and control of personal data and information: In Web 3.0, control and access to personal data and information is returned to the user. This means that users will have complete ownership and control over their data, while still being able to share it on a permission-based or case-by-case basis.
- Access to information from anywhere: One of the main benefits of Web 3.0 is the ability to access data and information from anywhere, using only a smartphone or computer. This technology aims to expand on current ideas and allow devices to collect and share user data, making it more widely accessible.
- Elimination of centralized control: Web 3.0 and blockchain technology allow for the creation of decentralized networks, where data is fully encrypted and unmodifiable. This eliminates the need for intermediaries, such as large companies or governments, to control user data.
- Permissionless blockchain technology: In Web 3.0, anyone can create an address and interact with the blockchain network with complete privacy and security. This means that users are not required to go through any kind of verification process, such as KYC checks, in order to access and use blockchain services.
- Constant availability of services: The use of decentralized networks and encrypted data storage in Web 3.0 means that services are less likely to be suspended or disrupted. Since there is no single point of failure, service disruption is minimized and users have constant access to their data.
Disadvantages of Web 3.0
However, there are also disadvantages to Web 3.0, including:
- Potential for increased cyber attacks: Decentralized networks and encrypted data storage make it more difficult for hackers to access and modify user data. However, this also makes it more difficult for security experts to detect and prevent attacks.
- Need for infrastructure changes: In order for Web 3.0 to be fully adopted, significant changes to current infrastructure will be necessary. This includes changes to network protocols and the development of new software and hardware.
- Early stage of development: Web 3.0 is still in its early stages of development, and has yet to be widely adopted. This means that there are still many challenges and uncertainties associated with the technology.
- Lack of understanding and education: Many people are not familiar with the concept of Web 3.0 and the benefits it offers. This lack of understanding can make it difficult for the technology to gain widespread acceptance.
Key Takeaways
The development of Web 3.0 represents a significant advancement in technology, offering users the ability to read, write, and own data and information. This technology is still in its early stages, but has the potential to break into other industries and change the way we think about data and information ownership. While there are benefits to using Web 3.0, there are also risks involved.
It is up to individuals to determine whether the rewards of using this technology outweigh the potential drawbacks. Overall, the development of Web 3.0 is a major event in the history of modern technology.
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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.