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

Support and Resistance API: Auto-Calculate Smart Levels for Better Trades

Token Metrics Team
4
MIN

Most traders still draw lines by hand in TradingView. The support and resistance API from Token Metrics auto-calculates clean support and resistance levels from one request, so your dashboard, bot, or alerts can react instantly. In minutes, you’ll call /v2/resistance-support, render actionable levels for any token, and wire them into stops, targets, or notifications. Start by grabbing your key on Get API Key, then Run Hello-TM and Clone a Template to ship a production-ready feature fast.

What You’ll Build in 2 Minutes

A minimal script that fetches Support/Resistance via /v2/resistance-support for a symbol (e.g., BTC, SOL).

  • A one-liner curl to smoke-test your key.
  • A UI pattern to display nearest support, nearest resistance, level strength, and last updated time.

Next Endpoints to add

  • /v2/trading-signals (entries/exits)
  • /v2/hourly-trading-signals (intraday updates)
  • /v2/tm-grade (single-score context)
  • /v2/quantmetrics (risk/return framing)

Why This Matters

Precision beats guesswork. Hand-drawn lines are subjective and slow. The support and resistance API standardizes levels across assets and timeframes, enabling deterministic stops and take-profits your users (and bots) can trust.

Production-ready by design. A simple REST shape, predictable latency, and clear semantics let you add levels to token pages, automate SL/TP alerts, and build rule-based execution with minimal glue code.

Where to Find

Need the Support and Resistance data? The cURL request for it is in the top right of the API Reference for quick access.

👉 Keep momentum: Get API Key • Run Hello-TM • Clone a Template

How It Works (Under the Hood)

The Support/Resistance endpoint analyzes recent price structure to produce discrete levels above and below current price, along with strength indicators you can use for priority and styling. Query /v2/resistance-support?symbol=<ASSET>&timeframe=<HORIZON> to receive arrays of level objects and timestamps.

Polling vs webhooks. For dashboards, short-TTL caching and batched fetches keep pages snappy. For bots and alerts, use queued jobs or webhooks (where applicable) to avoid noisy, bursty polling—especially around market opens and major events.

Production Checklist

  • Rate limits: Respect plan caps; add client-side throttling.
  • Retries/backoff: Exponential backoff with jitter for 429/5xx; log failures.
  • Idempotency: Make alerting and order logic idempotent to prevent duplicates.
  • Caching: Memory/Redis/KV with short TTLs; pre-warm top symbols.
  • Batching: Fetch multiple assets per cycle; parallelize within rate limits.
  • Threshold logic: Add %-of-price buffers (e.g., alert at 0.3–0.5% from level).
  • Error catalog: Map common 4xx/5xx to actionable user guidance; keep request IDs.
  • Observability: Track p95/p99; measure alert precision (touch vs approach).
  • Security: Store API keys in a secrets manager; rotate regularly.

Use Cases & Patterns

  • Bot Builder (Headless): Use nearest support for stop placement and nearest resistance for profit targets. Combine with /v2/trading-signals for entries/exits and size via Quantmetrics (volatility, drawdown).
  • Dashboard Builder (Product): Add a Levels widget to token pages; badge strength (e.g., High/Med/Low) and show last touch time. Color the price region (below support, between levels, above resistance) for instant context.
  • Screener Maker (Lightweight Tools): “Close to level” sort: highlight tokens within X% of a strong level. Toggle alerts for approach vs breakout events.
  • Risk Management: Create policy rules like “no new long if price is within 0.2% of strong resistance.” Export daily level snapshots for audit/compliance.

Next Steps

  • Get API Key — generate a key and start free.
  • Run Hello-TM — verify your first successful call.
  • Clone a Template — deploy a levels panel or alerts bot today.
  • Watch the demo: Compare plans: Scale confidently with API plans.

FAQs

1) What does the Support & Resistance API return?

A JSON payload with arrays of support and resistance levels for a symbol (and optional timeframe), each with a price and strength indicator, plus an update timestamp.

2) How timely are the levels? What are the latency/SLOs?

The endpoint targets predictable latency suitable for dashboards and alerts. Use short-TTL caching for UIs, and queued jobs or webhooks for alerting to smooth traffic.

3) How do I trigger alerts or trades from levels?

Common patterns: alert when price is within X% of a level, touches a level, or breaks beyond with confirmation. Always make downstream actions idempotent and respect rate limits.

4) Can I combine levels with other endpoints?

Yes—pair with /v2/trading-signals for timing, /v2/tm-grade for quality context, and /v2/quantmetrics for risk sizing. This yields a complete decide-plan-execute loop.

5) Which timeframe should I use?

Intraday bots prefer shorter horizons; swing/position dashboards use daily or higher-timeframe levels. Offer a timeframe toggle and cache results per setting.

6) Do you provide SDKs or examples?

Use the REST snippets above (JS/Python). The docs include quickstarts, Postman collections, and templates—start with Run Hello-TM.

7) Pricing, limits, and enterprise SLAs?

Begin free and scale as you grow. See API plans for rate limits and enterprise SLA options.

Disclaimer

This content is for educational purposes only and does not constitute financial advice. Always conduct your own research before making any trading decisions.

Research

Quantmetrics API: Measure Risk & Reward in One Call

Token Metrics Team
5
MIN

Most traders see price—quants see probabilities. The Quantmetrics API turns raw performance into risk-adjusted stats like Sharpe, Sortino, volatility, drawdown, and CAGR so you can compare tokens objectively and build smarter bots and dashboards. In minutes, you’ll query /v2/quantmetrics, render a clear performance snapshot, and ship a feature that customers trust. Start by grabbing your key at Get API Key, Run Hello-TM to verify your first call, then Clone a Template to go live fast.

What You’ll Build in 2 Minutes

  • A minimal script that fetches Quantmetrics for a token via /v2/quantmetrics (e.g., BTC, ETH, SOL).
  • A smoke-test curl you can paste into your terminal.
  • A UI pattern that displays Sharpe, Sortino, volatility, max drawdown, CAGR, and lookback window.

Next Endpoints to Add

  • /v2/tm-grade (one-score signal)
  • /v2/trading-signals
  • /v2/hourly-trading-signals (timing)
  • /v2/resistance-support (risk placement)
  • /v2/price-prediction (scenario planning)

Why This Matters

Risk-adjusted truth beats hype. Price alone hides tail risk and whipsaws. Quantmetrics compresses edge, risk, and consistency into metrics that travel across assets and timeframes—so you can rank universes, size positions, and communicate performance like a professional.

Built for dev speed

A clean REST schema, predictable latency, and easy auth mean you can plug Sharpe/Sortino into bots, dashboards, and screeners without maintaining your own analytics pipeline. Pair with caching and batching to serve fast pages at scale.

Where to Find

The Quant Metrics cURL request is located in the top right of the API Reference, allowing you to easily integrate it with your application.

Build Smarter Crypto Apps & AI Agents with Token Metrics

Token Metrics provides real-time prices, trading signals, and on-chain insights all from one powerful API. Grab a Free API Key

How It Works (Under the Hood)

Quantmetrics computes risk-adjusted performance over a chosen lookback (e.g., 30d, 90d, 1y). You’ll receive a JSON snapshot with core statistics:

  • Sharpe ratio: excess return per unit of total volatility.
  • Sortino ratio: penalizes downside volatility more than upside.
  • Volatility: standard deviation of returns over the window.
  • Max drawdown: worst peak-to-trough decline.
  • CAGR / performance snapshot: geometric growth rate and best/worst periods.

Call /v2/quantmetrics?symbol=<ASSET>&window=<LOOKBACK> to fetch the current snapshot. For dashboards spanning many tokens, batch symbols and apply short-TTL caching. If you generate alerts (e.g., “Sharpe crossed 1.5”), run a scheduled job and queue notifications to avoid bursty polling.

Production Checklist

  • Rate limits: Understand your tier caps; add client-side throttling and queues.
  • Retries & backoff: Exponential backoff with jitter; treat 429/5xx as transient.
  • Idempotency: Prevent duplicate downstream actions on retried jobs.
  • Caching: Memory/Redis/KV with short TTLs; pre-warm popular symbols and windows.
  • Batching: Fetch multiple symbols per cycle; parallelize carefully within limits.
  • Error catalog: Map 4xx/5xx to clear remediation; log request IDs for tracing.
  • Observability: Track p95/p99 latency and error rates; alert on drift.
  • Security: Store API keys in secrets managers; rotate regularly.

Use Cases & Patterns

  • Bot Builder (Headless): Gate entries by Sharpe ≥ threshold and drawdown ≤ limit, then trigger with /v2/trading-signals; size by inverse volatility.
  • Dashboard Builder (Product): Add a Quantmetrics panel to token pages; allow switching lookbacks (30d/90d/1y) and export CSV.
  • Screener Maker (Lightweight Tools): Top-N by Sortino with filters for volatility and sector; add alert toggles when thresholds cross.
  • Allocator/PM Tools: Blend CAGR, Sharpe, drawdown into a composite score to rank reallocations; show methodology for trust.
  • Research/Reporting: Weekly digest of tokens with Sharpe ↑, drawdown ↓, and volatility ↓.

Next Steps

  • Get API Key — start free and generate a key in seconds.
  • Run Hello-TM — verify your first successful call.
  • Clone a Template — deploy a screener or dashboard today.
  • Watch the demo: VIDEO_URL_HERE
  • Compare plans: Scale with API plans.

FAQs

1) What does the Quantmetrics API return?

A JSON snapshot of risk-adjusted metrics (e.g., Sharpe, Sortino, volatility, max drawdown, CAGR) for a symbol and lookback window—ideal for ranking, sizing, and dashboards.

2) How fresh are the stats? What about latency/SLOs?

Responses are engineered for predictable latency. For heavy UI usage, add short-TTL caching and batch requests; for alerts, use scheduled jobs or webhooks where available.

3) Can I use Quantmetrics to size positions in a live bot?

Yes—many quants size inversely to volatility or require Sharpe ≥ X to trade. Always backtest and paper-trade before going live; past results are illustrative, not guarantees.

4) Which lookback window should I choose?

Short windows (30–90d) adapt faster but are noisier; longer windows (6–12m) are steadier but slower to react. Offer users a toggle and cache each window.

5) Do you provide SDKs or examples?

REST is straightforward (JS/Python above). Docs include quickstarts, Postman collections, and templates—start with Run Hello-TM.

6) Polling vs webhooks for quant alerts?

Dashboards usually use cached polling. For threshold alerts (e.g., Sharpe crosses 1.0), run scheduled jobs and queue notifications to keep usage smooth and idempotent.

7) Pricing, limits, and enterprise SLAs?

Begin free and scale up. See API plans for rate limits and enterprise SLA options.

Disclaimer

All information provided in this blog is for educational purposes only. It is not intended as financial advice. Users should perform their own research and consult with licensed professionals before making any investment or trading decisions.

Research

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

Token Metrics Team
4
MIN

Timing makes or breaks every trade. The crypto trading signals API from Token Metrics lets you surface bullish and bearish calls directly in your product—no spreadsheet wrangling, no chart gymnastics. In this guide, you’ll hit the /v2/trading-signals endpoint, display actionable signals on a token (e.g., SOL, BTC, ETH), and ship a conversion-ready feature for bots, dashboards, or Discord. Start by creating a key on Get API Key, then Run Hello-TM and Clone a Template to go live fast.

What You’ll Build in 2 Minutes

  • A minimal script that fetches Trading Signals via /v2/trading-signals for one symbol (e.g., SOL).
  • A copy-paste curl to smoke-test your key.
  • A UI pattern to render signal, confidence/score, and timestamp in your dashboard or bot.

Endpoints to add next

  • /v2/hourly-trading-signals (intraday updates)
  • /v2/resistance-support (risk placement)
  • /v2/tm-grade (one-score view)
  • /v2/quantmetrics (risk/return context)

Why This Matters

Action over analysis paralysis. Traders don’t need more lines on a chart—they need an opinionated call they can automate. The trading signals API compresses technical momentum and regime reads into Bullish/Bearish events you can rank, alert on, and route into strategies.

Built for dev speed and reliability. A clean schema, predictable performance, and straightforward auth make it easy to wire signals into bots, dashboards, and community tools. Pair with short-TTL caching or webhooks to minimize polling and keep latency low.

Where to Find

You can find the cURL request for Crypto Trading Signals in the top right corner of the API Reference. Use it to access the latest signals!

Live Demo & Templates

  • Trading Bot Starter: Use Bullish/Bearish calls to trigger paper trades; add take-profit/stop rules with Support/Resistance.
  • Dashboard Signal Panel: Show the latest call, confidence, and last-updated time; add a history table for context.
  • Discord/Telegram Alerts: Post signal changes to a channel with a link back to your app.

How It Works (Under the Hood)

Trading Signals distill model evidence (e.g., momentum regimes and pattern detections) into Bullish or Bearish calls with metadata such as confidence/score and timestamp. You request /v2/trading-signals?symbol=<ASSET> and render the most recent event, or a small history, in your UI.

For intraday workflows, use /v2/hourly-trading-signals to update positions or alerts more frequently. Dashboards typically use short-TTL caching or batched fetches; headless bots lean on webhooks, queues, or short polling with backoff to avoid spiky API usage.

Production Checklist

  • Rate limits: Know your tier caps; add client-side throttling and queues.
  • Retries/backoff: Exponential backoff with jitter; treat 429/5xx as transient.
  • Idempotency: Guard downstream actions (don’t double-trade on retries).
  • Caching: Memory/Redis/KV with short TTLs for reads; pre-warm popular symbols.
  • Webhooks & jobs: Prefer webhooks or scheduled workers for signal change alerts.
  • Pagination/Bulk: Batch symbols; parallelize with care; respect limits.
  • Error catalog: Map common 4xx/5xx to clear fixes; log request IDs.
  • Observability: Track p95/p99 latency, error rate, and alert delivery success.
  • Security: Keep keys in a secrets manager; rotate regularly.

Use Cases & Patterns

  • Bot Builder (Headless): Route Bullish into candidate entries; confirm with /v2/resistance-support for risk and TM Grade for quality.
  • Dashboard Builder (Product): Add a “Signals” module per token; color-code state and show history for credibility.
  • Screener Maker (Lightweight Tools): Filter lists by Bullish state; sort by confidence/score; add alert toggles.
  • Community/Discord: Post signal changes with links to token pages; throttle to avoid noise.
  • Allocator/PM Tools: Track signal hit rates by sector/timeframe to inform position sizing (paper-trade first).

Next Steps

  1. Get API Key — create a key and start free.
  2. Run Hello-TM — confirm your first successful call.
  3. Clone a Template — deploy a bot, dashboard, or alerting tool today.

FAQs

1) What does the Trading Signals API return?

A JSON payload with the latest Bullish/Bearish call for a symbol, typically including a confidence/score and generated_at timestamp. You can render the latest call or a recent history for context.

2) Is it real-time? What about latency/SLOs?

Signals are designed for timely, programmatic use with predictable latency. For faster cycles, use /v2/hourly-trading-signals. Add caching and queues/webhooks to reduce round-trips.

3) Can I use the signals in a live trading bot?

Yes—many developers do. A common pattern is: Signals → candidate entry, Support/Resistance → stop/targets, Quantmetrics → risk sizing. Always backtest and paper-trade before going live.

4) How accurate are the signals?

Backtests are illustrative, not guarantees. Treat signals as one input in a broader framework with risk controls. Evaluate hit rates and drawdowns on your universe/timeframe.

5) Do you provide SDKs and examples?

You can integrate via REST using JavaScript and Python snippets above. The docs include quickstarts, Postman collections, and templates—start with Run Hello-TM.

6) Polling vs webhooks for alerts?

Dashboards often use cached polling. For bots/alerts, prefer webhooks or scheduled jobs and keep retries idempotent to avoid duplicate trades or messages.

7) Pricing, limits, and enterprise SLAs?

Begin free and scale as you grow. See API plans for allowances; enterprise SLAs and support are available.

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