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How to Sell Large Amounts of Crypto: Essential Tips and Strategies

Learn effective strategies and tools to sell large amounts of crypto efficiently. Discover practical tips to maximize your trading success. Read more!
Token Metrics Team
6 min
MIN
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Selling large amounts of crypto requires careful planning, a solid understanding of the market, and knowledge of the different trading methods available. Whether you want to sell bitcoin or other digital assets, it’s important to consider factors such as the current market price, tax implications, and security measures to ensure a smooth and profitable transaction. In this article, we will explore how to sell large amounts of crypto effectively, covering everything from centralized exchanges to peer-to-peer platforms and over-the-counter (OTC) trading.

Introduction to Crypto Sales

When it comes to how to sell large amounts of crypto, understanding the market landscape is the first step. There are several trading methods to choose from, including centralized exchanges, peer-to-peer platforms, and OTC trading desks. Each option offers unique advantages and challenges, so selecting the right approach depends on your specific needs and the amount of bitcoin or other crypto assets you intend to sell.

Tax implications also play a crucial role in crypto sales. Selling digital assets like Bitcoin often triggers a taxable event, subject to capital gains tax. Knowing how these taxes apply in your jurisdiction and maintaining accurate transaction records can help you stay compliant and avoid unexpected liabilities.

Another key consideration is the current market price and price fluctuations. Since cryptocurrencies are volatile assets, large transactions can impact the market price, leading to price slippage and unfavorable rates. Therefore, minimizing market impact by using strategic selling methods is essential to maximize returns.

Finally, opting for a user-friendly platform with low trading fees and robust security measures ensures a straightforward process. Features like two-factor authentication and withdrawal limits help protect your holdings while providing flexibility in managing large transactions.

Trading Methods

Centralized exchanges are a popular choice for selling bitcoin due to their convenience and liquidity. Platforms like Token Metrics, Binance and Coinbase allow users to sell crypto quickly, but they often come with high transaction fees and withdrawal limits that can affect large transactions. Additionally, these exchanges have a verification process and security protocols such as two-factor authentication to safeguard user accounts.

Peer-to-peer trade platforms offer an alternative by enabling you to sell bitcoin directly to other users. This method often involves lower fees and more flexible payment methods, including bank transfers and cash. Peer-to-peer platforms facilitate trade directly between parties, reducing the market impact and providing a more personalized service. However, they require caution to avoid security risks when dealing with other users.

For substantial amounts of bitcoin, OTC trading desks are particularly suitable. OTC services allow buyers and sellers to conduct large transactions privately, avoiding the price fluctuations and market impact associated with regular exchange orders. OTC desks offer personalized service and often have lower withdrawal fees and transaction costs compared to major exchanges. Using OTC trading can help you sell crypto safely and efficiently without affecting the overall market price.

Another option is using crypto debit cards, which allow you to convert bitcoin to fiat currency and spend it directly. While convenient, these cards may have high fees and limited withdrawal options, making them less ideal for very large sums.

Crypto Exchange Options

When selecting where to sell crypto, major exchanges and crypto trading platforms like Token Metrics, Binance, Coinbase, and Kraken stand out due to their extensive payment methods and strong security measures. These platforms support bank transfers, credit cards, and sometimes even crypto debit cards, providing flexibility in how you receive funds.

Security is paramount on centralized exchanges. Reputable exchanges implement rigorous security measures, including cold storage for digital currencies, regular security audits, and mandatory two-factor authentication. Enabling two-factor authentication on your exchange account is essential to prevent unauthorized access and protect your crypto holdings.

Some major exchanges offer personalized services tailored for large transactions. These services can help minimize market impact by facilitating limit orders or OTC transactions through their internal desks. Choosing an exchange with low trading fees and withdrawal fees can significantly improve your net proceeds when selling large amounts of crypto.

Alternative Sales Methods

Bitcoin ATMs provide a quick and convenient way to sell bitcoin directly for cash. Using a bitcoin ATM, you can send bitcoin to a deposit address or scan a QR code to complete the transaction within a few hours. However, bitcoin ATMs often charge high fees and have limited withdrawal limits, making them less suitable for selling large sums.

Peer-to-peer platforms like LocalBitcoins or Paxful allow you to sell bitcoin directly to other users. These platforms offer a variety of payment methods and typically have lower fees than centralized exchanges. Peer-to-peer trade can be a straightforward process, but it requires vigilance to avoid scams or security risks when dealing with other users.

OTC trading services are the preferred choice for handling large transactions. OTC desks provide a personalized experience, allowing you to negotiate a specific price and avoid price slippage. These services are designed to handle amounts of bitcoin that would otherwise disrupt the market if sold on regular exchanges.

Additionally, some crypto exchange services such as TransFi’s Ramp offer comprehensive solutions for selling large amounts of bitcoin. They combine the benefits of OTC trading with streamlined payment and withdrawal options, making it easier to convert bitcoin to fiat currency securely and efficiently.

Payment and Withdrawal Options

Choosing the right payment and withdrawal methods is crucial when selling large amounts of crypto. Bank transfers are commonly used for receiving fiat currency after selling bitcoin. While bank transfers are generally secure, they can involve high fees and may take several days to process, which could delay access to your funds.

Crypto debit cards provide an alternative by allowing you to withdraw cash or make purchases directly using your crypto balance. However, these cards often come with high fees and are not accepted everywhere, which limits their usefulness for large transactions.

Peer-to-peer platforms usually support a wide range of payment methods, including cash deposits, bank transfers, and online payment services. Selecting a payment method with low fees and fast processing times helps optimize your sale and reduces the risk of delays.

When using centralized exchanges, be mindful of withdrawal limits and withdrawal fees. Some exchanges impose daily or monthly limits that could restrict how much fiat currency you can access at once. Understanding these limits ahead of time ensures you can plan your sales accordingly.

Security and Safety

Security is a top priority when selling large amounts of bitcoin or other crypto assets. Enabling two-factor authentication on your exchange account and wallets is essential to protect against unauthorized access. This added layer of security helps safeguard your digital assets from hacking attempts.

Reputable exchanges and platforms implement advanced security measures such as cold storage, where the majority of funds are kept offline, and regular security audits to identify vulnerabilities. Using these platforms reduces the risk of losing your crypto due to security breaches.

In addition to platform security, using a secure wallet to store your bitcoin before and after the sale is critical. Hardware wallets or trusted software wallets with strong encryption provide the best protection.

Regularly monitoring your account activity and being aware of potential security risks, such as phishing attacks or suspicious transactions, can help you respond quickly to threats and prevent losses.

Taxes and Regulations

Understanding the tax implications of selling digital assets is vital. In many jurisdictions, selling bitcoin constitutes a taxable event subject to capital gains tax. The amount of tax owed depends on factors like how much bitcoin you sold, the holding period, and your local tax laws.

Tax regulations for cryptocurrencies vary significantly between countries, so it’s important to familiarize yourself with the rules that apply to you. Keeping detailed records of your transactions, including dates, amounts, and prices, will make tax reporting easier and more accurate.

Some countries have specific regulations governing cryptocurrency exchanges and OTC transactions. Compliance with these laws ensures your sales are legitimate and reduces the risk of legal issues.

Consulting a tax professional experienced in digital currencies can provide guidance tailored to your situation, helping you navigate complex tax laws and optimize your tax liabilities.

Avoiding Common Mistakes

Many sellers face challenges when handling large crypto transactions. One common mistake is not understanding the tax implications, which can lead to unexpected capital gains tax bills and financial losses.

Failing to use two-factor authentication leaves accounts vulnerable to hacking and unauthorized access, risking the loss of your crypto holdings.

Choosing an unreliable or unregulated exchange can result in high fees, poor customer service, and even security breaches. Always select reputable exchanges with a solid track record.

Neglecting to monitor your account activity regularly increases the risk of unnoticed fraudulent transactions or security breaches. Staying vigilant helps protect your assets.

Staying Informed and Adapting

The cryptocurrency market is highly volatile and subject to rapid changes. Staying informed about market trends and price fluctuations enables you to time your sales effectively, minimizing market impact and maximizing profit.

Regulations and tax laws surrounding crypto are continually evolving. Keeping up-to-date with these changes ensures you remain compliant and avoid legal complications.

Regularly reviewing and enhancing your security measures, such as updating passwords and enabling new security features, helps protect your accounts from emerging threats.

Adapting your trading strategies in response to market conditions and regulatory changes is key to successful crypto sales over time.

Best Practices for Crypto Sales

To sell large amounts of crypto successfully, choose a reputable exchange or platform that offers low fees, strong security measures, and flexible payment options. Understanding the tax implications and maintaining accurate transaction records will keep you compliant and prepared for tax season.

Always enable two-factor authentication and use secure wallets to safeguard your crypto assets. Regularly monitor your accounts for suspicious activity to prevent losses.

Finally, stay informed about market trends, regulatory updates, and security best practices. By adapting your approach to changes in the crypto landscape, you can maximize profits, minimize risks, and sell bitcoin or other digital currencies with confidence.

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

Recent Posts

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.

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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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