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NFT Scams - 7 Simple Ways to Stay Protected

Learn everything about NFT scams and discover 7 ways to protect yourself in this descriptive guide.
Token Metrics Team
13 Minutes
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NFTs, or non-fungible tokens, have gained immense popularity in recent years. These digital assets provide a unique way to buy, sell, and trade digital art, collectibles, and other virtual items. 

However, as with any rapidly growing market, the rise of NFTs has also attracted scammers looking to take advantage of unsuspecting individuals. 

In this article, we will explore the topic of NFT scams and provide you with 7 simple ways to stay protected in this exciting but potentially risky landscape.

What are NFT Scams?

NFT scams are fraudulent activities that exploit the popularity of non-fungible tokens. These scams involve the sale of fake or low-value NFTs, deceiving buyers into investing in worthless digital assets. 

Scammers impersonate artists or celebrities, taking advantage of the unregulated nature of the NFT market. They may also use phishing attacks to steal funds or access NFT wallets. 

To protect themselves, investors should research and verify the authenticity of NFT projects, artists, and platforms before making any purchases or transactions.

10 Most Common NFT Scams

Here is the list of 10 common NFT scams -

1. Fake Artwork and Counterfeit NFTs

One of the most common NFT scams involves the creation and sale of fake artwork or counterfeit NFTs. Scammers may replicate popular digital art pieces or create entirely new ones, passing them off as original and valuable. Unsuspecting buyers may end up paying large sums of money for worthless or stolen artwork.

To protect yourself, it's essential to verify the authenticity of the artwork and the NFT before making a purchase. Research the artist, check for any previous sales or exhibitions, and look for reputable marketplaces or platforms that authenticate the NFTs they list.

2. Rug-Pull Scams

A rug-pull is a fraudulent scheme in which developers generate hype, excitement and anticipation for an NFT (non-fungible token), only to abruptly abandon the project and abscond with a substantial amount of funds raised from investors. 

These unscrupulous developers often leverage social media platforms to establish trust and create a buzz around their NFT, while patiently awaiting a surge of investor contributions. 

However, as soon as they accumulate a sufficient sum, they abruptly terminate the entire venture and disappear with the amassed funds.

3. Phishing and Impersonation Scams

Phishing and impersonation scams are prevalent in the NFT space. Scammers may create fake websites or social media accounts that closely resemble legitimate NFT marketplaces or artists' profiles. They lure unsuspecting individuals into providing their private keys or personal information, which can lead to the theft of their digital assets.

Always double-check the website URL and ensure you are visiting the official platform. Be cautious of unsolicited messages or emails asking for personal information or private keys. Legitimate NFT marketplaces will never ask for your private keys or passwords.

4. Bidding Scams

Bidding frauds frequently occur in the secondary market when attempting to sell your NFT. Once you list your NFT for sale, scammers strategically place the highest bid, tempting you to finalize the transaction with them. 

However, these deceptive individuals can surreptitiously alter the cryptocurrency used for bidding, unbeknownst to you.

To safeguard yourself from falling victim to such scams, it is important to consistently verify the cryptocurrency you are being paid with.

5. Pump and Dump NFT Schemes

Pump and dump schemes are not unique to NFTs but have made their way into the market. In these schemes, scammers artificially inflate the price of a particular NFT by creating hype and promoting it heavily. 

Once the price reaches a peak, the scammers sell their holdings, causing the value to plummet and leaving unsuspecting buyers with significant losses.

Be wary of sudden spikes in the price of an NFT and do thorough research before making an investment. Avoid jumping on the bandwagon without understanding the true value of the asset.

6. NFT Airdrop Scams

Airdrop frauds involve scammers who distribute free NFT giveaways through social media platforms. Once users visit the provided link, scammers request them to agree to the specified "terms and conditions." 

Additionally, they encourage users to share the message or tweet with others. Once the link is clicked, users are prompted to connect their MetaMask wallet credentials to claim the offered prize. 

The credentials entered by users will be stored in the scammers' system. Consequently, the scammers will gain unauthorized access to the user's MetaMask library, enabling them to easily pilfer their assets.

7. Customer Support NFT scams

Customer support scams are unfortunately a common occurrence across various industries. Fraudulent individuals exploit NFT holders by obtaining their contact details through platforms like Discord, Telegram, or Reddit, and then carry out deceptive NFT schemes.

These scammers adopt false personas by creating convincing profiles on legitimate-looking websites. Posing as technical staff from reputable marketplaces, they attempt to manipulate users with enticing offers. 

In some cases, these fraudsters even pretend to assist in resolving issues, cunningly extracting sensitive information from unsuspecting consumers.

If you fall prey to their deception and become convinced, these imposters will request your digital collectible's credentials and other sensitive data. Regrettably, once you provide this information, your NFT assets will be stolen by these scammers.

8. Ponzi and Pyramid Schemes

Ponzi and pyramid schemes have also found their way into the NFT space. Scammers promise high returns to early investors by recruiting new participants into the scheme. 

These schemes rely on a constant influx of new investors' money to pay off previous investors. Eventually, the scheme collapses, leaving the majority of participants with substantial financial losses.

9. Unverified Platforms and Marketplaces

The rapid growth of the NFT market has led to the emergence of numerous platforms and marketplaces. While many of these platforms are legitimate and reputable, some may be unverified or poorly regulated. 

Scammers can take advantage of these unverified platforms to list counterfeit or non-existent NFTs, deceiving buyers and making a quick profit.

Before engaging with a new platform or marketplace, do thorough research to ensure it has a solid reputation and positive user reviews. 

Look for platforms that have implemented security measures such as KYC (Know Your Customer) procedures and offer escrow services to protect buyers and sellers.

10. Front Running and Insider Trading

Front-running and insider trading are practices commonly associated with traditional financial markets. However, they can also occur in the NFT space. 

Front-running involves purchasing an NFT ahead of a known event or announcement, with the intention of selling it at a higher price once the news is made public. 

Insider trading occurs when individuals have access to non-public information about upcoming releases or collaborations and use that information to gain an unfair advantage.

To protect yourself from front-running and insider trading, be cautious of unusually timed sales or rapid price increases ahead of significant announcements. Stick to reputable platforms and marketplaces that have policies in place to prevent these practices.

7 Simple Ways to Stay Protected from NFT Scams

In order to effectively recognize and safeguard yourself against NFT scams, it is crucial to have a comprehensive understanding of their nature and tactics. 

By familiarizing yourself with the following information, you will be better equipped to spot and protect yourself from potential fraudulent activities in the NFT space.

NFT scams
Image Source - https://stackbrowser.com/blog/are-nfts-scams

1. Research Before You Buy - When considering purchasing an NFT, thorough research is crucial. Take the time to investigate the project, the artist or creator behind it, and the authenticity of the artwork or collectible. 

Look for reputable sources of information such as the artist's website, social media profiles, or reliable NFT marketplaces. Verify the history and reputation of the artist, and ensure that the project has a solid track record before making a purchase.

2. Stick to Established Marketplaces - To minimize the risk of falling victim to an NFT scam, it's advisable to stick to established and reputable NFT marketplaces. 

Platforms such as OpenSea, Rarible, and SuperRare have established themselves as trustworthy platforms in the NFT space. 

These marketplaces have implemented security measures to protect buyers and sellers, making them a safer option compared to lesser-known platforms.

3. Be Wary of Unrealistic Promises - If an NFT project promises extravagant returns or guarantees that seem too good to be true, exercise caution.

Scammers often lure unsuspecting individuals with promises of quick profits or exclusive deals. Remember that NFT investments, like any other form of investment, come with risks. 

Be skeptical of projects that make unrealistic claims and always do your due diligence before committing your funds.

4. Double-Check URLs and Wallet Addresses - Phishing attacks are common in the NFT space. Scammers may attempt to trick you into visiting fake websites or sending funds to fraudulent wallet addresses. 

Always double-check the URLs of websites you visit and ensure that they are legitimate. Verify wallet addresses with multiple sources before making any transactions. Be vigilant and cautious when interacting with unfamiliar links or addresses.

5. Utilize Security Measures - Protecting your digital assets is crucial in the world of NFTs. Utilize security measures such as two-factor authentication (2FA) to add an extra layer of protection to your NFT marketplace accounts. 

Enable 2FA on platforms that offer this feature to prevent unauthorized access to your account. Additionally, consider using a hardware wallet or a secure software wallet to store your NFTs offline and protect them from potential hacks or thefts.

6. Educate Yourself on Smart Contracts - Smart contracts play a significant role in the NFT ecosystem. These self-executing contracts govern the ownership, transfer, and conditions of NFT transactions. It's essential to educate yourself on how smart contracts work and understand the terms and conditions embedded within them. 

Familiarize yourself with the contract's code and ensure that it is audited by reputable third-party firms. By understanding the underlying smart contract, you can better assess the legitimacy and security of the NFT project.

7. Stay Informed and Trust Your Instincts - Staying informed about the latest trends, news, and developments in the NFT space is vital to staying protected. 

Follow reliable sources, join NFT communities, and engage with experienced collectors and artists. By staying informed, you can spot potential red flags, identify emerging scams, and make more informed decisions. 

Trust your instincts and if something feels off or too good to be true, it's better to err on the side of caution.

Also Read - NFT Rarity - What it Means and How to Calculate it?

How NFT Scams Affect the NFT Space?

The prevalence of NFT scams has far-reaching consequences for the NFT space and its stakeholders. Let's explore some of the key impacts:

Loss of Trust and Credibility - NFT scams erode trust and credibility within the NFT community. When investors and collectors fall victim to scams, they become hesitant to participate further, leading to a loss of confidence in the market as a whole. 

The lack of trust can hinder the growth and adoption of NFTs, limiting their potential as a legitimate asset class.

Financial Losses for Investors - NFT scams often result in significant financial losses for investors. Whether through Ponzi schemes, fake art purchases, or pump and dump schemes, individuals can lose substantial amounts of money. 

These losses not only impact the victims directly but also create a negative perception of NFT investments among potential participants.

Damage to Artists and Creators - NFT scams also harm artists and creators in several ways. When scammers plagiarize or counterfeit their work, it undermines their artistic integrity and can lead to financial losses. 

Additionally, the association of scams with the NFT space may discourage genuine artists from embracing NFTs as a platform for showcasing and monetizing their creations.

Examples of NFT Scams

These are few real examples of NFT scams in history

The Beeple's NFT Controversy - One notable example of an NFT scam involves the controversial artist Beeple. In 2021, Beeple's artwork titled "Everydays: The First 5000 Days" was sold for a staggering amount through a major NFT marketplace. 

However, it was later revealed that the buyer was associated with the artist himself, raising concerns about market manipulation and the legitimacy of the sale.

The Rarible Rugging Incident - Rarible, a popular NFT marketplace, experienced a rug pull incident in which scammers exploited a vulnerability in the platform's smart contract. 

By creating fake NFT listings and manipulating the bidding process, the scammers were able to defraud unsuspecting users, resulting in substantial financial losses.

Frequently Asked Questions

Q1. Are all NFTs scams?

No, not all NFTs are scams. NFTs provide a legitimate and innovative way to buy, sell, and collect digital assets. However, there are scams in the NFT space, and it's important to be cautious and conduct thorough research before making any transactions.

Q2. Can I get my money back if I fall victim to an NFT scam?

Unfortunately, it can be challenging to recover funds lost to NFT scams. Blockchain transactions are often irreversible, and scammers may take measures to remain anonymous.

This is why it's crucial to follow the preventive measures outlined in this article and exercise caution when participating in the NFT market.

Q3. How can I verify the authenticity of an NFT?

Verifying the authenticity of an NFT can be done through various means. Check the reputation and history of the artist or creator, look for official verification badges on marketplaces, and review the project's documentation. Some artists may also provide certificates of authenticity or proof of ownership.

Q4. What should I do if I suspect an NFT scam?

If you suspect an NFT scam, report it to the relevant marketplace or platform immediately. Provide all necessary information and evidence to support your claim. Additionally, consider reporting the scam to appropriate authorities or regulatory bodies to help protect others from falling victim.

Q5. Can I protect my NFTs from being stolen?

While no security measure can guarantee 100% protection, you can take steps to secure your NFTs. Use strong, unique passwords for your accounts, enable 2FA, and consider storing your NFTs in a hardware wallet or secure software wallet. Stay vigilant and regularly update your security practices.

Q6. Are there any regulations governing NFTs?

The regulatory landscape surrounding NFTs is still developing. Different countries may have varying regulations or guidelines concerning NFTs. 

It's essential to stay informed about the legal and regulatory implications of participating in the NFT market within your jurisdiction.

Final Thoughts

As the NFT market continues to expand, it is crucial to remain vigilant and informed about the various scams that exist. By understanding the most common NFT scams and taking proactive measures to protect yourself, you can confidently navigate this exciting digital landscape. 

Remember to verify the authenticity of NFTs, be cautious of phishing attempts, research before investing, and use reputable platforms. Stay informed and trust your instincts when engaging in the world of NFTs.

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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Recent Posts

Research

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

Token Metrics Team
4

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

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

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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