Crypto Basics

Initial Coin Offering (ICO) Explained - A Complete Guide

Learn everything about Initial Coin Offering (ICO) in this guide. This guide will help beginners to understand the fundraising process using cryptocurrencies.
Sumit Meghani
9 Minutes
MIN

In the world of cryptocurrency, Initial Coin Offerings (ICOs) have emerged as a popular method of fundraising for startups and projects. But what exactly are ICOs, and how do they work?

In this definitive guide, we will explore the concept of ICOs, their history and evolution, the benefits and risks of participating in ICOs, and the factors to consider before investing in an ICO.

What is an ICO?

ICOs, also known as Initial Coin Offerings, are a form of crowdfunding where companies issue digital tokens or coins to raise funds for their projects. 

These tokens are usually built on existing blockchain platforms, such as Ethereum, and can represent various assets or utilities within a project's ecosystem.

Unlike traditional fundraising methods like Initial Public Offerings (IPOs), ICOs allow companies to bypass the lengthy and costly process of going public. 

Instead, they can directly sell their tokens to the public, offering early investors the opportunity to buy tokens at a discounted price before they are listed on cryptocurrency exchanges.

History and evolution of ICOs

The concept of ICOs originated with the launch of Mastercoin in 2013, which raised over 5000 Bitcoin (BTC) in its crowdfunding campaign. This success paved the way for other projects to adopt the ICO model, leading to a surge in popularity in the following years.

In 2017, ICOs reached their peak, with numerous projects raising millions, and sometimes even billions, of dollars in a matter of days. 

However, this period was also marked by a lack of regulation and oversight, resulting in many fraudulent projects and scams that left investors high and dry.

How do ICOs work?

Project Development

Before an ICO, the project team develops a whitepaper. This document outlines the project's purpose, technical aspects, the amount of capital required, how many tokens the project team will hold, the type of money accepted, and the timeline of the ICO campaign.

Token Sale

Once the whitepaper is ready, the project team will announce the ICO date and begin the token sale. Early project enthusiasts, also known as the 'early bird investors,' will buy tokens in this phase. 

If the money raised does not meet the project's requirements, the ICO is deemed unsuccessful, and the money is returned to the investors.

Token Distribution

If the ICO campaign reaches its funding goal, the tokens are distributed to investors, and the project team uses the funds to further the project development.

In return for their investment, participants receive a certain number of tokens, which can later be traded on cryptocurrency exchanges or used within the project's ecosystem. 

The value of these tokens can fluctuate, offering investors the potential for significant returns if the project succeeds.

Benefits and risks of participating in ICOs

Participating in ICOs can offer several benefits for investors but it also comes with few risks. Let’s understand the key benefits and risks of ICO investments.

Benefits

1. Investment Opportunity: ICOs present an opportunity to invest in promising projects at the ground level. If the project succeeds, the token value can rise substantially, leading to significant returns.

2. Democratized Funding: ICOs allow anyone in the public to contribute to the project. This is unlike traditional investment methods, often limited to accredited investors.

3. Fostering Innovation: ICOs provide a platform for innovative projects to get the funding they need to develop their ideas.

Risks

1. Lack of Regulation: While some regulation exists, the ICO space still remains somewhat unregulated, which can expose investors to fraudulent projects.

2. Market Volatility: Cryptocurrencies are known for their volatility. The value of tokens bought during an ICO can decrease significantly.

3. Project Failure: As with any investment in a new project, there's always the risk that the project will not succeed, leading to a loss of investment.

Factors to consider before investing in an ICO

Before investing in an ICO, there are several factors that you should consider to make an informed decision. 

Firstly, evaluate the project's whitepaper and roadmap to understand its goals, vision, and feasibility. Look for a strong team with relevant experience and a clear plan for execution.

Additionally, consider the market potential of the project and its competitive advantage. Does the project solve a real-world problem or offer a unique solution? Assess the project's token economics and distribution model to ensure fairness and long-term sustainability.

Lastly, pay attention to the project's community and investor relations. A strong and supportive community can contribute to the project's success, while poor communication or lack of transparency can be red flags.

Where to find initial coin offerings?

Keeping track of new coin launches in the dynamic world of cryptocurrencies can be a challenging task, but with the right tools and resources, you can stay up-to-date. 

Various cryptocurrency exchanges like Coinbase, Gemini, and Kraken often list new tokens and provide updates about upcoming launches on their platforms. 

Crypto market data aggregators such as CoinGecko and CoinMarketCap serve as comprehensive resources for information about new coin listings.

Remember, investing in ICOs involves risk. The suggestions are not investment advice, but merely resources to monitor. Always conduct thorough research and due diligence before investing in any ICOs.

Tips for successful participation in ICOs

Participating in an ICO can be an exciting and potentially lucrative opportunity, but it's important to approach it with caution and follow some best practices. Here are some tips for successful participation in ICOs:

  • Conduct thorough research: Read the project's whitepaper, evaluate its team and advisors, and assess its market potential before making any investment decisions.
  • Diversify your investments: Spread your investments across multiple ICOs to mitigate risk. Avoid putting all your eggs in one basket.
  • Stay informed: Keep up-to-date with the latest news and developments in the cryptocurrency industry. Follow reputable sources and join communities to stay informed about upcoming ICOs and market trends.
  • Set a budget: Determine how much you are willing to invest in ICOs and stick to your budget. Avoid investing more than you can afford to lose.
  • Use secure wallets: Store your tokens in secure wallets to protect them from hacks and theft. Consider using hardware wallets for added security.

ICO regulations and legal considerations

With the rise of ICO scams and fraudulent projects, regulatory bodies around the world have started taking action to protect investors and promote transparency in the ICO market. 

Countries like the United States, Switzerland, and Singapore have issued guidelines and regulations for ICOs, imposing stricter requirements on projects and enhancing investor protection.

Before participating in an ICO, it's crucial to familiarize yourself with the regulatory landscape in your jurisdiction. 

Understand the legal considerations and requirements for both the project and the investors. This will help you make informed decisions and avoid potential legal pitfalls.

Future of ICOs in 2023 and beyond

As we look ahead to 2023 and beyond, the future of ICOs remains uncertain. While ICOs have revolutionized fundraising in the cryptocurrency space, they have also faced criticism and regulatory scrutiny due to the prevalence of scams and fraudulent projects.

In response to these challenges, we can expect to see increased regulation and oversight in the ICO market. 

Regulatory bodies around the world are working to establish guidelines and frameworks to protect investors and weed out fraudulent projects. 

This regulatory clarity could help to restore confidence in the ICO market and attract more traditional investors.

Furthermore, we may witness the emergence of new fundraising models that address the shortcomings of ICOs. 

Security Token Offerings (STOs) and Initial Exchange Offerings (IEOs) are already gaining traction as alternative fundraising methods that offer increased investor protection and compliance with existing regulations.

Frequently Asked Questions

Q1. How are ICOs different from STOs and IEOs?

While ICOs (Initial Coin Offerings), STOs (Security Token Offerings), and IEOs (Initial Exchange Offerings) are all fundraising methods in the crypto space, they differ in their regulatory frameworks and the rights they offer to investors.

Q2. Are all ICOs legal?

The legality of ICOs depends on the regulatory framework of each country. Some countries have banned ICOs, while others have regulated them. It's essential to check the legal status of ICOs in your country before participating.

Q3. What happens to the funds if the ICO doesn't reach its target?

Typically, if an ICO does not reach its funding target, the raised funds are returned to the investors. This process, known as a "refund," is usually outlined in the project's whitepaper.

Q4. How can I participate in an ICO?

To participate in an ICO, you typically need to create an account on the ICO's official website, go through a Know Your Customer (KYC) process, and then send your investment (often in the form of Bitcoin or Ethereum) to a designated address.

Q5. Are ICOs a good investment?

Investing in ICOs can be high-risk, high-reward. While some ICOs have delivered impressive returns, others have led to significant losses. It's crucial to conduct thorough research and consider your risk tolerance before investing in an ICO.

Q6. Can ICOs make you rich?

While it's true that some investors have made substantial profits from successful ICOs, it's essential to understand that investing in ICOs is not a guaranteed way to get rich. Many ICOs fail or are scams. Due diligence and a solid understanding of the project are crucial before investing.

Q7. What's the role of a token in an ICO?

The token issued in an ICO often serves as the utility token for the project's ecosystem. They can represent access rights to a service provided by the project or can be used for transactions within the project's platform.

Q8. How can I spot an ICO scam?

Signs of a potential ICO scam can include unrealistic promises of returns, lack of transparency, an anonymous or inexperienced team, lack of a comprehensive whitepaper, and lack of third-party audits or involvement of recognized crypto exchanges.

Conclusion

ICOs have played a vital role in the growth of the cryptocurrency industry by providing an innovative way to fund new projects. 

However, like any investment, they come with their risks. With proper due diligence and cautious judgment, participating in an ICO can be an exciting way to engage with the crypto world.

Keep in mind that this guide is only the start of your ICO journey. Always strive to deepen your understanding, stay informed about industry changes, and make decisions that align with your risk tolerance and investment goals. 

Happy investing!

Disclaimer

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

Token Metrics does not recommend that any cryptocurrency should be bought, sold, or held by you. Do conduct your own due diligence and consult your financial advisor before making any investment decisions.

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Token Metrics Team

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Research

Backtesting Token Metrics AI: Can AI Grades Really Predict Altcoin Breakouts?

Token Metrics Team
5 min
MIN

To test the accuracy of Token Metrics' proprietary AI signals, we conducted a detailed six-month backtest across three different tokens — Fartcoin, Bittensor ($TAO), and Ethereum. Each represents a unique narrative: memecoins, AI infrastructure, and blue-chip Layer 1s. Our goal? To evaluate how well the AI’s bullish and bearish signals timed market trends and price action.

Fartcoin:

The green and red dots on the following Fartcoin price chart represent the bullish and bearish market signals, respectively. Since Nov 26, 2024, Token Metrics AI has given 4 trading signals for Fartcoin. Let’s analyze each signal separately.

The Fartcoin chart above displays green and red dots that mark bullish and bearish signals from the Token Metrics AI, respectively. Over the last six months — starting November 26, 2024 — our system produced four significant trade signals for Fartcoin. Let’s evaluate them one by one.

The first major signal was bullish on November 26, 2024, when Fartcoin was trading at $0.29. This signal preceded a massive run-up, with the price topping out at $2.49. That’s an astounding 758% gain — all captured within just under two months. It’s one of the most powerful validations of the AI model’s ability to anticipate momentum early.

Following that rally, a bearish signal was triggered on January 26, 2025, just before the market corrected. Fartcoin retraced sharply, plunging 74.76% from the highs. Traders who acted on this bearish alert could have avoided substantial drawdowns — or even profited through short-side exposure.

On March 25, 2025, the AI turned bullish again, as Fartcoin traded near $0.53. Over the next several weeks, the token surged to $1.58, a 198% rally. Again, the AI proved its ability to detect upward momentum early.

Most recently, on June 1, 2025, Token Metrics AI flipped bearish once again. The current Trader Grade of 24.34 reinforces this view. For now, the system warns of weakness in the memecoin market — a trend that appears to be playing out in real-time.

Across all four trades, the AI captured both the explosive upside and protected traders from steep corrections — a rare feat in the volatile world of meme tokens.

Bittensor

Next, we examine Bittensor, the native asset of the decentralized AI Layer 1 network. Over the last six months, Token Metrics AI produced five key signals — and the results were a mixed bag but still largely insightful.

In December 2024, the AI turned bearish around $510, which preceded a sharp decline to $314 by February — a 38.4% drawdown. This alert helped traders sidestep a brutal correction during a high-volatility period.

On February 21, 2025, the system flipped bullish, but this trade didn't play out as expected. The price dropped 25.4% after the signal. Interestingly, the AI reversed again with a bearish signal just five days later, showing how fast sentiment and momentum can shift in emerging narratives like AI tokens.

The third signal marked a solid win: Bittensor dropped from $327 to $182.9 following the bearish call — another 44% drop captured in advance.

In April 2025, momentum returned. The AI issued a bullish alert on April 19, with TAO at $281. By the end of May, the token had rallied to over $474, resulting in a 68.6% gain — one of the best performing bullish signals in the dataset.

On June 4, the latest red dot (bearish) appeared. The model anticipates another downward move — time will tell if it materializes, but the track record suggests caution is warranted.

Ethereum

Finally, we analyze the AI’s predictive power for Ethereum, the second-largest crypto by market cap. Over the six-month window, Token Metrics AI made three major calls — and each one captured critical pivots in ETH’s price.

On November 7, 2024, a green dot (bullish) appeared when ETH was priced at $2,880. The price then surged to $4,030 in less than 40 days, marking a 40% gain. For ETH, such a move is substantial and was well-timed.

By December 24, the AI flipped bearish with ETH trading at $3,490. This signal was perhaps the most important, as it came ahead of a major downturn. ETH eventually bottomed out near $1,540 in April 2025, avoiding a 55.8% drawdown for those who acted on the signal.

In May 2025, the AI signaled another bullish trend with ETH around $1,850. Since then, the asset rallied to $2,800, creating a 51% gain.

These three trades — two bullish and one bearish — show the AI’s potential in navigating large-cap assets during both hype cycles and corrections.Backtesting Token Metrics AI across memecoins, AI narratives, and Ethereum shows consistent results: early identification of breakouts, timely exit signals, and minimized risk exposure. While no model is perfect, the six-month history reveals a tool capable of delivering real value — especially when used alongside sound risk management.

Whether you’re a trader looking to time the next big altcoin rally or an investor managing downside in turbulent markets, Token Metrics AI signals — available via the fastest crypto API — offer a powerful edge.

Backtesting Token Metrics AI across memecoins, AI narratives, and Ethereum shows consistent results: early identification of breakouts, timely exit signals, and minimized risk exposure. While no model is perfect, the six-month history reveals a tool capable of delivering real value — especially when used alongside sound risk management.

Whether you’re a trader looking to time the next big altcoin rally or an investor managing downside in turbulent markets, Token Metrics AI signals — available via the fastest crypto API — offer a powerful edge.

Research

Token Metrics API vs. CoinGecko API: Which Crypto API Should You Choose in 2025?

Token Metrics Team
7 min
MIN

As the crypto ecosystem rapidly matures, developers, quant traders, and crypto-native startups are relying more than ever on high-quality APIs to build data-powered applications. Whether you're crafting a trading bot, developing a crypto research platform, or launching a GPT agent for market analysis, choosing the right API is critical.

Two names dominate the space in 2025: CoinGecko and Token Metrics. But while both offer access to market data, they serve fundamentally different purposes. CoinGecko is a trusted source for market-wide token listings and exchange metadata. Token Metrics, on the other hand, delivers AI-powered intelligence for predictive analytics and decision-making.

Let’s break down how they compare—and why the Token Metrics API is the superior choice for advanced, insight-driven builders.

🧠 AI Intelligence: Token Metrics Leads the Pack

At the core of Token Metrics is machine learning and natural language processing. It’s not just a data feed. It’s an AI that interprets the market.

Features exclusive to Token Metrics API:

  • Trader Grade (0–100) – Short-term momentum score based on volume, volatility, and technicals
  • Investor Grade (0–100) – Long-term asset quality score using fundamentals, community metrics, liquidity, and funding
  • Bullish/Bearish AI Signals – Real-time alerts based on over 80 weighted indicators
  • Sector-Based Smart Indices – Curated index sets grouped by theme (AI, DeFi, Gaming, RWA, etc.)
  • Sentiment Scores – Derived from social and news data using NLP
  • LLM-Friendly AI Reports – Structured, API-returned GPT summaries per token
  • Conversational Agent Access – GPT-based assistant that queries the API using natural language

In contrast, CoinGecko is primarily a token and exchange aggregator. It offers static data: price, volume, market cap, supply, etc. It’s incredibly useful for basic info—but it lacks context or predictive modeling.

Winner: Token Metrics — The only crypto API built for AI-native applications and intelligent automation.

🔍 Data Depth & Coverage

While CoinGecko covers more tokens and more exchanges, Token Metrics focuses on providing actionable insights rather than exhaustively listing everything.

Feature                                                   Token Metrics API                                    CoinGecko API

Real-time + historical OHLCV              ✅                                                          ✅

Trader/Investor Grades                        ✅ AI-powered                                     ❌

Exchange Aggregation                         ✅ (Used in indices, not exposed)     ✅

Sentiment & Social Scoring                  ✅ NLP-driven                                     ❌

AI Signals                                               ✅                                                         ❌

Token Fundamentals                            ✅ Summary via deepdive         ⚠️ Limited

                                                                        endpoint

NFT Market Data                                  ❌                                                          ✅

On-Chain Behavior                               ✅ Signals + Indices                   ⚠️ Pro-only (limited)

If you're building something analytics-heavy—especially trading or AI-driven—Token Metrics gives you depth, not just breadth.

Verdict: CoinGecko wins on broad metadata coverage. Token Metrics wins on intelligence and strategic utility.

🛠 Developer Experience

One of the biggest barriers in Web3 is getting devs from “idea” to “prototype” without friction. Token Metrics makes that easy.

Token Metrics API Includes:

  • SDKs for Python, Node.js, and Postman
  • Quick-start guides and GitHub sample projects
  • Integrated usage dashboard to track limits and history
  • Conversational agent to explore data interactively
  • Clear, logical endpoint structure across 21 data types

CoinGecko:

  • Simple REST API
  • JSON responses
  • Minimal docs
  • No SDKs
  • No built-in tooling (must build from scratch)

Winner: Token Metrics — Serious devs save hours with ready-to-go SDKs and utilities.

📊 Monitoring, Quotas & Support

CoinGecko Free Tier:

  • 10–30 requests/min
  • No API key needed
  • Public endpoints
  • No email support
  • Rate limiting enforced via IP

Token Metrics Free Tier:

  • 5,000 requests/month
  • 1 request/min
  • Full access to AI signals, grades, rankings
  • Telegram & email support
  • Upgrade paths to 20K–500K requests/month

While CoinGecko’s no-login access is beginner-friendly, Token Metrics offers far more power per call. With just a few queries, your app can determine which tokens are gaining momentum, which are losing steam, and how portfolios should be adjusted.

Winner: Token Metrics — Better for sustained usage, scaling, and production reliability.

💸 Pricing & Value

Plan Feature                CoinGecko Pro            Token Metrics API

Entry Price                  ~$150/month                $99/month

AI Grades & Signals            ❌                               ✅ 

Sentiment Analytics            ❌                               ✅

Sector Index Insights          ❌                               ✅

NLP Token Summaries       ❌                                ✅

Developer SDKs                  ❌                                ✅

Token-Based Discounts     ❌                                ✅ (up to 35% with $TMAI)

For what you pay, Token Metrics delivers quant models and intelligent signal streams — not just raw price.

Winner: Token Metrics — Cheaper entry, deeper value.

🧠 Use Cases Where Token Metrics API Shines

  • Trading Bots
    Use Trader Grade and Signal endpoints to enter/exit based on AI triggers.
  • GPT Agents
    Generate conversational answers for “What’s the best AI token this week?” using structured summaries.
  • Crypto Dashboards
    Power sortable, filtered token tables by grade, signal, or narrative.
  • Portfolio Rebalancers
    Track real-time signals for tokens held, flag risk zones, and show sector exposure.
  • LLM Plugins
    Build chat-based investment tools with explainability and score-based logic.

🧠 Final Verdict: CoinGecko for Info, Token Metrics for Intelligence

If you're building a crypto price tracker, NFT aggregator, or exchange overview site, CoinGecko is a solid foundation. It’s reliable, broad, and easy to get started.

But if your product needs to think, adapt, or help users make better decisions, then Token Metrics API is in another class entirely.

You're not just accessing data — you're integrating AI, machine learning, and predictive analytics into your app. That’s the difference between showing the market and understanding it.

🔗 Ready to Build Smarter?

  • ✅ 5,000 free API calls/month
  • 🤖 Trader & Investor Grades
  • 📊 Live Bull/Bear signals
  • 🧠 AI-powered summaries and GPT compatibility
  • ⚡ 21 endpoints + Python/JS SDKs

👉 Start with Token Metrics API

Research

Python Quick-Start with Token Metrics: The Ultimate Crypto Price API

Token Metrics Team
10 min
MIN

If you’re a Python developer looking to build smarter crypto apps, bots, or dashboards, you need two things: reliable data and AI-powered insights. The Token Metrics API gives you both. In this tutorial, we’ll show you how to quickly get started using Token Metrics as your Python crypto price API, including how to authenticate, install the SDK, and run your first request in minutes.

Whether you’re pulling live market data, integrating Trader Grades into your trading strategy, or backtesting with OHLCV data, this guide has you covered.

🚀 Quick Setup for Developers in a Hurry

Install the official Token Metrics Python SDK:

pip install tokenmetrics

Or if you prefer working with requests directly, no problem. We’ll show both methods below.

🔑 Step 1: Generate Your API Key

Before anything else, you’ll need a Token Metrics account.

  1. Go to app.tokenmetrics.com/en/api
  2. Log in and navigate to the API Keys Dashboard
  3. Click Generate API Key
  4. Name your key (e.g., “Development”, “Production”)
  5. Copy it immediately — keep it secret.

You can monitor usage, rate limits, and quotas right from the dashboard. Track each key’s status, last used date, and revoke access at any time.

📈 Step 2: Retrieve Crypto Prices in Python

Here’s a simple example to fetch the latest price data for Ethereum (ETH):

import requests

API_KEY = "YOUR_API_KEY"

headers = {"x-api-key": API_KEY}

url = "https://api.tokenmetrics.com/v2/daily-ohlcv?symbol=ETH&startDate=<YYYY-MM-DD>&endDate=<YYYY-MM-DD>"

response = requests.get(url, headers=headers)

data = response.json()

for candle in data['data']:

    print(f"Date: {candle['DATE']} | Close: ${candle['CLOSE']}")

You now have a working python crypto price API pipeline. Customize startDate or endDate to get specific range of historical data.

📊 Add AI-Powered Trader Grades

Token Metrics’ secret sauce is its AI-driven token ratings. Here’s how to access Trader Grades for ETH:

grade_url = "https://api.tokenmetrics.com/v2/trader-grades?symbol=ETH&limit=30d"

grades = requests.get(grade_url, headers=headers).json()['data']

for day in grades:

    print(f"{day['DATE']} — Trader Grade: {day['TA_GRADE']}")

Use this data to automate trading logic (e.g., enter trades when Grade > 85) or overlay on charts.

🔁 Combine Data for Backtesting

Want to test a strategy? Merge OHLCV and Trader Grades for any token:

import pandas as pd

ohlcv_df = pd.DataFrame(data['data'])

grades_df = pd.DataFrame(grades)

combined_df = pd.merge(ohlcv_df, grades_df, on="DATE")

print(combined_df.head())

Now you can run simulations, build analytics dashboards, or train your own models.

⚙️ Endpoint Coverage for Python Devs

  • /daily-ohlcv: Historical price data
  • /trader-grades: AI signal grades (0–100)
  • /trading-signals: Bullish/Bearish signals for short and long positions.
  • /sentiment: AI-modeled sentiment scores
  • /tmai: Ask questions in plain English

All endpoints return structured JSON and can be queried via requests, axios, or any modern client.

🧠 Developer Tips

  • Each request = 1 credit (tracked in real time)
  • Rate limits depend on your plan (Free = 1 req/min)
  • Use the API Usage Dashboard to monitor and optimize
  • Free plan = 5,000 calls/month — perfect for testing and building MVPs

💸 Bonus: Save 35% with $TMAI

You can reduce your API bill by up to 35% by staking and paying with Token Metrics’ native token, $TMAI. Available via the settings → payments page.

🌐 Final Thoughts

If you're searching for the best python crypto price API with more than just price data, Token Metrics is the ultimate choice. It combines market data with proprietary AI intelligence, trader/investor grades, sentiment scores, and backtest-ready endpoints—all in one platform.

✅ Real-time & historical data
✅ RESTful endpoints
✅ Python-ready SDKs and docs
✅ Free plan to start building today

Start building today → tokenmetrics.com/api

Looking for SDK docs? Explore the full Python Quick Start Guide

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