Crypto Basics

What is Shiba Inu (SHIB) Coin and is it a Good Investment?

Learn everything about Shiba Inu, its history, benefits and top features in this descriptive guide.
Token Metrics Team
6 minutes
MIN

Shiba Inu (SHIB) is an Ethereum-based altcoin in the world of cryptocurrencies and has recently gained attention. It is a meme-inspired project based on the "Dogecoin" meme featuring the Shiba Inu dog as its mascot.

SHIB has been launched as a decentralized cryptocurrency built on the Ethereum blockchain. It is a deflationary token designed to be used as a medium of exchange and store of value. SHIB has a total supply of 1,000,000,000,000 tokens and is currently being traded on major exchanges such as Binance, OKEx, and Huobi.

SHIB has seen a huge surge in price and popularity since its launch in May 2021 and has become one of the most talked about cryptocurrencies in the market, with arguably the largest community than Bitcoin.

In this article, we will look at Shiba Inu coin, its features, and its potential for investors.

History Of Shiba Inu

Originally, Shiba Inu was launched as a direct competitor of Dogecoin as a joke. Both Shiba Inu and Dogecoin come under the category of meme coins. The meme coin originated from a 2013 meme featuring the Japanese breed dog of the same name. What began as a community-driven token representing a meme became a multi-billion dollar crypto project.

In 2020, an anonymous person or group called "Ryoshi” created a token named after the animal to continue the series of dog meme cryptocurrencies. After gaining full traction in 2021, it was declared the official rival of Dogecoin, leading Floki Inu, Akita Inu, and Dogelon Mars.

From its creation to up until October 2021, the SHIB coin raised from a low of $0.000000000056 to an all-time high of $0.00008616, rising an incredible 150 million percent.

Also, the generous donation of $1 billion in SHIB was a crucial moment in the coin's history that Ethereum's lead engineer and co-founder Vitalik Buterin granted to help fight the devastating spread of COVID-19 in India, making it the largest donation ever given in history. 

The Limelight Of SHIB

Having the support of Elon Musk is like getting the blue tick certification. Elon and his tweets have an extreme market sentiment influence which can make or break the deal for a cryptocurrency.

Shiba Inu is one such outrageously positive outcome of his tweets. When he first posted the Shiba Inu dog image, it gave the first major push to the SHIB token, powering it up by nearly 300%.

Some of the SHIB supporters believe it to be the "Dogecoin-Killer," too.

Top Features of SHIB

SHIB is a deflationary token designed to be used as a medium of exchange and store of value. It is a privacy-enabled decentralized peer-to-peer blockchain network. 

Three types of tokens affect the SHIB ecosystem:

  1. Shiba Inu (SHIB): This is the predominant currency of this project, which sums up to a total supply of 1 quadrillion tokens when it was launched. It can be exchanged with any of the ERC20 tokens of the Ethereum ecosystem.
  2. Leash (LEASH): It is the second token in the Shiba Inu ecosystem, with a total supply of only 107,646 tokens, and was initially a rebase token tied to the price of Dogecoin. A rebase token has a flexible monetary base in that its supply is set to increase or decrease to adjust the token price without affecting the value of anyone's share of coins. The rebase function was later switched off for good, and the token returned to its ERC20 design. 
  3. Bone (BONE): With a total supply of 250,000,000 tokens, only available on ShibaSwap, BONE is intended to fill up the circulation supply gap between the other two tokens. It is a kind of governance token that will allow the ShibArmy to vote on proposals. The more BONE users possess, the more weight their vote will carry in the decision process of future projects.

What are the Benefits of Investing in SHIB?

A Meme-Inspired Cryptocurrency - The core feature of SHIB is that it is a meme-inspired cryptocurrency launched on the Ethereum blockchain. It is a deflationary token designed to be used as a medium of exchange and store of value.

A Lower Price - SHIB is a low-priced token worth in pennies, which is easier for most people to invest in compared to something like Bitcoin.‍

A Decentralized Network - SHIB aims to be a decentralized network to keep on running, without any reasons for halting.‍

An Easy-To-Use Wallet - The SHIB blockchain network has been designed to be easy to use. This makes it a preferred option for most users. Three different wallets are available for use: Android, iOS, and Web.

How to Purchase SHIB Token?

SHIB and LEASH can be bought and sold on ShibaSwap, Uniswap, and a growing number of centralized exchanges (CEXs). On September 16, 2021, Coinbase listed SHIB, joining popular CEXs like Binance, Huobi, and Kucoin in trading the token. 

However, Robinhood, a U.S. financial services platform, has yet to list SHIB due to concerns over its security, as stated by its CEO. In contrast, Robinhood's rival Public.com listed SHIB in October 2021.

Is SHIB Token a Good Investment in 2023?

Shiba Inu's growth largely depends on market sentiment. During extremely fearful times, Shiba Inu underperforms; however, during euphoric times, Shiba Inu has the potential to explode in popularity.

While you analyze Shiba Inu's market position, make it a point to distinguish between market capitalization and price. SHIB's low price can deceive new investors, causing them to inaccurately gauge SHIB's price potential. Market capitalization is usually calculated by multiplying the total circulating supply of coins by the current market price of a single coin, which is useful for determining growth potential. 

At the time of writing, SHIB's price is roughly $0.000012. Therefore, if SHIB were to reach $0.01, investors would experience a return of over 800x. However, more importantly, to reach $0.01, Shiba Inu would need to reach a whopping market value north of $5 trillion. This value is greater than the market value of Apple, Google, and Bitcoin combined. As a result, when making realistic price predictions, it's paramount to consider market capitalization.

SHIB Price and Market Capitalization

As of Feb 1st,2023, Shiba Inu is trading at $0.000012 USD. The current market capitalization of the SHIB token is over $6.70B. This makes SHIB rank 81st in terms of market capitalization among all cryptocurrencies.

The Bottom Line

The Shiba Inu developing team is quite secretive about the coin roadmap. Therefore, it's rather difficult to anticipate what's in the cards for the cryptocurrency in the near future.

The developers might decide to burn other coins to make SHIB more deflationary than it is now and help with a price appreciation. We recently learned that Shiba is preparing to enter the Metaverse and will be burning more SHIB soon, further reducing the total supply.

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2025’s Leading Crypto APIs for Trading, Price Data & Wallet Integration

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Building or upgrading a crypto platform in 2025 demands reliable, fast, and versatile APIs. Whether you’re developing a trading algorithm, a portfolio tracker, or a wallet application, integrating the right crypto APIs can be the linchpin of user experience and product success. With blockchain and digital assets maturing rapidly, today’s APIs deliver not only real-time price data, but also advanced trading features and seamless wallet integration. But which APIs stand out from the pack?

Top 10 Crypto APIs for 2025: Core Features and Use Cases

API solutions have evolved into indispensable tools for developers, quantitative analysts, businesses, and anyone seeking reliable crypto integration. Here are 10 standout crypto APIs for 2025, each offering a unique mix of performance, breadth, and versatility:

  1. Token Metrics API: Focuses on AI-driven analytics, real-time price feeds, advanced on-chain data, and market signals, suitable for portfolio tools and research dashboards.
  2. CoinGecko API: Delivers extensive market data on thousands of cryptocurrencies, including pricing, volume, and historical charts—popular for portfolio tracking apps.
  3. CoinMarketCap API: Renowned for aggregate crypto price data and deep market cap information, supporting up-to-date listings and trending asset widgets.
  4. Binance API: Offers robust trading endpoints, order books, WebSocket feeds, and spot/futures functionalities, ideal for automated trading bots on one of the largest exchanges.
  5. Kraken API: Reliable for both spot and derivatives trading, plus seamless account management and funding workflows.
  6. Alchemy API: Provides powerful web3 infrastructure, including wallet management, smart contract interaction, and NFT access on EVM-compatible chains.
  7. CryptoCompare API: Delivers accurate market data, news, and social analytics for comprehensive crypto app backends.
  8. Blockchair API: A blockchain explorer API supporting multiple chains (BTC, ETH, etc.) with deep transaction analytics and address lookups.
  9. Fireblocks API: Focuses on secure wallet and asset management for enterprises, with advanced transaction automation and MPC (multi-party computation).
  10. Moralis API: Enables rapid integration of decentralized identities, wallets, NFT metadata, and database-sync functionality for dApp developers.

The “best” crypto API for 2025 depends on whether your priority is trading, data analytics, wallet management, or web3 protocol interaction. Many forward-thinking teams are now combining several APIs to achieve flexible, scalable architecture.

How to Choose the Best Crypto API for Your Project

With so many options, careful API evaluation is crucial. Consider the following practical factors before integrating a new crypto API:

  • Data Accuracy & Latency: Reliable feeds are essential for trading, especially in volatile markets. Test latency and double-check for data aggregation delays.
  • Coverage & Network Support: Confirm the API supports the blockchains, trading pairs, and tokens relevant to your use case. Some APIs focus on BTC/ETH, while others support long-tail assets and new chains.
  • Security & Compliance: Ensure the API provider follows best practices (rate limits, authentication, encryption). If handling user data or funds, review their compliance documentation.
  • Cost & Scalability: Assess free tiers, paid plans, and limits on requests per second. Advanced projects may require enterprise pricing for higher throughput.
  • Developer Experience: Look for well-documented endpoints, active community support, and SDKs in your preferred language.
  • AI & Analytics Features: APIs that include ML-driven analytics, sentiment scoring, backtesting data, or alerts can provide a competitive edge for automated trading or portfolio management.

Test multiple APIs in sandbox environments to validate uptime, accuracy, and compatibility with your backend infrastructure or front-end frameworks.

API Use Cases: Trading Automation, Price Intelligence & Wallet Integration

Strategic API integration expands what’s possible for developers and crypto businesses. Consider three core implementation scenarios for 2025:

  • Automated Trading Strategies: Connect trading APIs (e.g., Binance, Kraken) and analytics engines (Token Metrics, CryptoCompare) as your bot’s data and execution layer. Tight, low-latency connections are vital where milliseconds can matter.
  • Real-Time Price Alerts & Analytics: Combine a crypto price API with machine learning or user-defined triggers to drive actionable notifications, portfolio rebalances, or smart dashboards. Integrate advanced analytics from providers like Token Metrics or Moralis for deeper insights.
  • Wallet & Web3 dApp Functionality: Utilize APIs like Alchemy, Fireblocks, or Moralis for creating user-friendly wallets, NFT apps, or secure on-chain account management. These offer seamless blockchain interactions and abstract away complex infrastructure challenges.

For teams scaling across blockchains or global jurisdictions, modular design using the leading crypto APIs ensures adaptability and resilience as the ecosystem evolves in 2025 and beyond.

The crypto API landscape is moving fast with several trends shaping developer choices and user expectations:

  • Open Source & Community-Led APIs: More projects are releasing open APIs, encouraging collaboration and faster problem-solving for security or integration issues.
  • AI-Powered Data & Risk Tools: APIs offering on-chain analytics, anomaly detection, or AI price prediction are gaining traction for smarter trading and compliance.
  • Cross-Chain Compatibility: Universal wallet APIs and bridges make it easier to support multi-chain assets and DeFi protocols in one place.
  • Improved Privacy & Decentralization: Zero-knowledge proofs and secure computation features are increasingly offered at the API level for confidential transactions.
  • Regulatory Readiness: Providers are adopting stricter KYC/AML processes, especially for trading and custodian APIs, to meet global compliance demands.

Whether you’re prototyping a new app or enhancing a mature platform, staying up-to-date with these innovations ensures your tech stack remains competitive and agile as the regulatory and market landscape shifts.

Build Smarter Crypto Apps & AI Agents with Token Metrics

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Frequently Asked Questions About Crypto APIs

Which crypto API offers the most accurate real-time price data?

Accuracy can depend on exchange coverage and update frequency. APIs like CoinGecko, CoinMarketCap, and Token Metrics aggregate data from multiple sources to improve reliability. Always test feeds for your specific asset list.

What is a crypto wallet integration API?

A crypto wallet API enables developers to add wallet functionalities—such as creating, managing, and sending cryptocurrencies—directly within apps. Leading options like Alchemy and Fireblocks allow seamless blockchain transactions and secure asset management.

Are there free crypto APIs for development?

Yes. Many top crypto APIs, such as CoinGecko, Moralis, and Token Metrics API, offer free tiers for development and low-usage applications. However, higher volume or advanced features may require paid plans.

How can I ensure security when using a crypto API?

Prioritize APIs with robust authentication, encryption, and documented security protocols. Use API keys or OAuth, monitor for suspicious activity, and regularly audit your application’s handling of user data and crypto operations.

Do any crypto APIs include AI-based analytics or trading signals?

Yes. Advanced APIs such as Token Metrics provide AI-driven analytics, signals, and predictive tools to enhance research and strategy development. These can be integrated into custom dashboards or apps for additional intelligence.

Disclaimer

This article is for informational and educational purposes only. It does not constitute financial, legal, or investment advice. Please conduct your own research and consult licensed professionals before making technical or business decisions involving cryptocurrency technology or markets.

Research

From Beginner to Advanced: Building Your First Python Crypto Trading Bot

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Automated trading is reshaping the way traders interact with the crypto markets. For beginners and advanced users alike, building a Python-powered crypto trading bot opens up incredible possibilities—from automating strategies to conducting rapid backtests and executing trades 24/7. But how do you go from a basic script to a robust trading algorithm? This guide walks you through the process, addresses key technical considerations, and illustrates how AI and analytics platforms can make your journey more efficient and insightful.

Why Use Python for Crypto Trading Bots?

Python has become the top choice for quantitative finance and crypto automation. Its rich ecosystem of libraries (like ccxt for exchange APIs, pandas for data analysis, and TA-Lib for technical indicators) allows even beginners to build powerful bots.


     

     

     

     


Core Components of a Crypto Trading Bot

Every effective crypto bot has several essential building blocks:


     

     

     

     

     


Organizing these parts within clean Python classes or modules makes your bot scalable and easier to maintain as your strategy evolves.

Step-By-Step: How to Build a Simple Python Crypto Bot

Let’s walk through the foundational process of building your first crypto bot with Python. This approach is equally valuable whether you’re a coding newcomer or migrating from manual trading.


     

     

     

     

     

     

     


This modular workflow sets the groundwork for more advanced automation and risk controls as you gain confidence.

From Basic to Advanced: Expanding Your Bot’s Capabilities

Once you’ve mastered a basic bot, you can enhance its effectiveness dramatically through both software engineering and strategic sophistication:


     

     

     

     

     

     


Successful automation relies on continuous monitoring and refinement. For many, using analytical tools and platforms like Token Metrics can support data-driven hypothesis generation and rapid backtesting.

Security Best Practices and Compliance Considerations

Operating a crypto trading bot safely involves attention to both cybersecurity fundamentals and regulatory factors:


     

     

     

     

     


Consider open-source libraries with active support, or opt for trusted SaaS tools for additional layers of safety and monitoring.

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Frequently Asked Questions

What is a crypto trading bot?

A crypto trading bot is a software application that executes predefined trading strategies automatically, buying or selling cryptocurrencies on your behalf using real-time market data.

How much Python do I need to know to build a bot?

Basic Python programming—data types, functions, loops, modules—is sufficient for creating simple bots. For advanced features (e.g., machine learning, concurrency), deeper knowledge is helpful but not mandatory at the outset.

Is it safe to use Python for crypto bot development?

Python is widely used and considered secure if best practices are followed, especially regarding API key management and keeping dependencies up to date.

Which exchanges support Python crypto bots?

Most major centralized exchanges (like Binance, Coinbase Pro, Kraken, KuCoin) support API-based trading compatible with Python libraries such as ccxt or exchange-specific SDKs.

Can I integrate AI or machine learning in my crypto bot?

Yes. You can utilize libraries such as scikit-learn or PyTorch to add AI models for signal detection, predictive analytics, or anomaly detection, enhancing your strategy’s adaptability.

Disclaimer

This article is for educational and informational purposes only and does not constitute financial, investment, or trading advice. Always conduct your own research and comply with applicable regulations and best practices when developing or using automated trading bots.

Research

Comparing the Top Crypto Trading Bots of 2025: Open Source and Paid

Token Metrics Team
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The landscape of crypto trading is rapidly evolving, and as we move into 2025, automation through trading bots remains one of the most transformative trends. Both newcomers and experienced traders are turning to crypto trading bots to streamline processes, manage risk, and take advantage of around-the-clock markets. But with the explosion of open source and paid options, how do you identify which bots merit your attention? In this deep dive, we’ll compare the leading crypto trading bots of 2025—balancing tech, usability, and transparency—so you can navigate this essential toolkit with confidence.

What Are Crypto Trading Bots and How Do They Work?

Crypto trading bots are software programs designed to automate buying, selling, and portfolio rebalancing in cryptocurrency markets. Leveraging predefined rules, technical indicators, or advanced machine learning, these bots execute trades faster and without the emotional bias that can affect manual trading. Bots can operate 24/7, responding instantly to market changes and often employing sophisticated strategies that would be challenging to replicate manually.

In 2025, the variety of bots available spans from simple rule-based systems to complex AI-driven agents. They connect to crypto exchanges—such as Binance, Coinbase, or Kraken—through API integrations. Most bots allow users to customize strategies, set risk parameters, and monitor performance through intuitive dashboards.

Open Source vs. Paid Trading Bots: Key Differences

The difference between open source and paid crypto trading bots often comes down to transparency, control, and ease of use.

  • Open Source Bots: These bots offer transparency and community collaboration. Users can audit the code, ensure no hidden functionality exists, and even tweak algorithms to better suit their needs. Popular examples include Freqtrade and Gekko. While these bots are typically free, they require more technical expertise to set up and maintain, especially when connecting APIs or deploying custom strategies.
  • Paid (Commercial) Bots: Premium bots bundle user-friendly interfaces, customer support, and often proprietary algorithms. Services like 3Commas, Cryptohopper, and Bitsgap lead this category by offering plug-and-play features, cloud hosting, and advanced automation. While they have subscription fees, they cater to users who prefer convenience, security, and ongoing updates over full source code access.

Choosing between open source or paid options in 2025 depends on your technical skill, needs for customizability, trust level, and budget allocation for trading infrastructure.

As AI integrates deeper into crypto trading, both open source and paid bots have seen an upgrade in intelligence and adaptability:

  • Natural Language Strategy Creation: Some advanced bots allow users to describe trading strategies in plain language, which the AI then translates into executable code.
  • Reinforcement Learning Algorithms: AI-driven bots in 2025 commonly use reinforcement learning, optimizing their strategies based on real-time outcomes and historical market data.
  • On-Chain Data Integration: The best bots can process on-chain metrics—such as wallet movements and DeFi protocol activity—adding fresh market context to traditional technical indicators.
  • Risk-Aware Trade Execution: Automated position sizing, stop-loss rules, and volatility analysis are standard, reducing exposure in turbulent conditions without constant user intervention.
  • Multi-Exchange and Cross-Asset Support: Top bots can manage portfolios across several trading platforms, balancing trades among Bitcoin, Ethereum, altcoins, and even tokenized real-world assets.

This evolution assists users at all experience levels, turning AI-powered bots into leading research and automation companions rather than just passive trading engines.

Top Open Source and Paid Crypto Trading Bots in 2025

Let’s spotlight a few prominent options, emphasizing their core features without bias:

  1. Freqtrade (Open Source): Known for its robust backtesting engine, extensive strategy customization, and active GitHub community. Ideal for tech-savvy users who value flexibility and transparency.
  2. Gekko (Open Source): A lightweight bot that runs on Node.js and connects to multiple exchanges. Supports plugin architecture but may lack advanced AI integrations found in newer bots.
  3. Hummingbot (Open Source): Specializes in liquidity mining and market making, enabling users to deploy custom bots with cloud or local hosting. Actively maintained with built-in analytics.
  4. 3Commas (Paid): Offers smart trading terminals, grid bots, trailing features, and AI-powered portfolio management. Designed for accessibility, cloud-based operation, and mobile controls.
  5. Cryptohopper (Paid): Boasts AI strategy creation (“Hopper AI”), paper trading, and a marketplace for community-generated strategies. Focuses on low-latency, round-the-clock trade automation.
  6. Bitsgap (Paid): Supports arbitrage, futures, and spot trading across several exchanges. Known for quick setup, portfolio analytics dashboards, and dynamic grid bots suitable for volatile markets.

Each of these solutions appeals to different user profiles and ambitions. Some prioritize full-stack transparency and algorithmic control (the open source camp), while others seek set-and-forget usability, support, and feature-rich tools (the paid category).

Best Practices for Choosing Crypto Trading Bots

Whether you gravitate toward open source innovation or streamlined paid solutions, consider the following best practices:

  • Security First: Audit the bot’s access permissions. Use secure API keys, track data privacy, and avoid sharing credentials.
  • Community and Support: Evaluate the strength of the bot’s user community or customer support. Active development and transparent documentation are critical for troubleshooting and growth.
  • Strategy Flexibility: Choose bots that support the indicators and logic you require, whether it’s AI-driven strategies or manual rules.
  • Backtesting Capability: Review bots’ simulation features, allowing you to test algorithms on historical data before live implementation.
  • Integration and Scalability: Ensure compatibility with your desired exchanges, assets, and portfolio size. Consider future-proofing with multi-exchange and cross-asset support.

The right research, careful strategy testing, and a responsible approach to automation ensure bots enhance your trading—not replace foundational knowledge or risk management.

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FAQ: Crypto Trading Bots in 2025

Using crypto trading bots is legal in most jurisdictions. However, exchanges may have their own rules, so always review the terms of service for the platforms you use. Compliance with local laws regarding crypto assets is also important.

Can I use trading bots with any crypto exchange?

Most major exchanges provide APIs that allow trading bots to connect and execute trades. However, the level of support and functionalities may vary. Always verify the bot’s compatibility with your chosen exchange.

Do I need to know coding to use crypto trading bots?

Not necessarily. Many paid trading bots offer user-friendly interfaces requiring no coding skills. Open source bots often need technical setup and strategy tweaks, so basic programming knowledge can be helpful for those options.

Are AI-based bots better than rule-based bots?

AI-based bots can adapt to changing market conditions and process complex data in real time, offering advantages in dynamic environments. However, success depends on the implementation, underlying data, and usage. Rule-based bots can be more predictable and transparent.

What are the main risks of using crypto trading bots?

Risks include technical failures, API connection issues, untested algorithms, security breaches, and unpredictable market behavior. It’s important to use secure practices, monitor performance, and regularly audit bot activities.

Disclaimer

This article is intended for informational and educational purposes only. It does not constitute investment advice or recommendations of any kind. Always conduct your own research and consult with financial professionals before engaging in any cryptocurrency trading or investment activities.

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