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Crypto Security and its Importance - A Complete Guide

Learn everything about crypto security and its importance in this comprehensive guide. Explore key practices to safeguard your digital assets effectively.
S. Vishwa
9 Minutes
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As digital currencies continue to gain momentum, crypto security has become more critical than ever. Cryptocurrency, though a groundbreaking invention, operates in a digital sphere, making it susceptible to hacking and fraud. 

Ensuring crypto security is thus vital for every investor, trader, or enthusiast in the crypto sphere. But why is it so important, and how can you ensure you're fully secured? Let's delve in.

Understanding Cryptocurrency and Its Security

Before discussing the importance of crypto security, let's take a step back to understand what cryptocurrency is. Cryptocurrency is a digital or virtual form of currency secured by cryptography. 

This encryption makes it nearly impossible to double-spend or counterfeit. Cryptocurrencies operate on decentralized platforms called blockchain technology, which is a distributed ledger enforced by a disparate network of computers, also known as nodes.

Crypto security, therefore, involves protecting these digital assets through various measures and practices, ensuring the safety of the user's funds and personal information from potential cyber threats. The importance of cryptocurrency security is directly linked to the unique characteristics of the technology itself.

The Importance of Crypto Security

Prevention of Asset Theft: Since cryptocurrency transactions are irreversible, losing access to your funds can be a costly mistake. 

Unlike traditional banking systems, where transactions can be disputed or reversed, blockchain technology offers no such luxury. Therefore, top-notch security is vital to prevent theft of these digital assets.

Maintaining Anonymity: Many users turn to cryptocurrencies for their promise of privacy. Without proper security measures, users' identities can be exposed, which can lead to significant risks, including financial loss and personal safety concerns.

Preservation of Wealth: With the burgeoning crypto market, cryptocurrencies have become a popular investment choice. Without the proper security in place, your digital wealth may be at risk.

Investor Confidence: The safety of digital currencies directly impacts investor confidence. If a platform can't offer robust security measures, it risks losing users' trust. Consequently, strong security protocols contribute to the overall growth of the crypto ecosystem.

Key Elements of Crypto Security

Understanding the importance of crypto security is the first step; the next step involves knowing the key elements that make up a secure crypto environment. Here are the crucial aspects:

Wallets: Crypto wallets are an essential part of digital currency security. Wallets can be either software or hardware-based, with the latter generally considered more secure. Keep your wallet's private keys safe, and consider using multi-signature wallets for added security.

Secure Internet Connection: Always make sure your internet connection is secure when dealing with cryptocurrencies. Avoid using public Wi-Fi networks for crypto transactions, as they can be hotspots for cyber threats.

Exchanges: Not all cryptocurrency exchanges are created equal. Before committing, research the security measures an exchange has in place. Look for features like two-factor authentication (2FA), cold storage, and withdrawal whitelists.

Education: Understanding the technology behind cryptocurrencies and the various threats you could face is crucial. Regularly keep yourself updated with the latest security trends and threats in the crypto space.

Common Security Risks Associated with Crypto

Navigating the cryptocurrency landscape involves being aware of the potential security risks associated with it. Here are some common security threats you should know:

Phishing Attacks: These occur when an attacker masquerades as a trustworthy entity to trick victims into revealing sensitive information, such as login credentials and wallet private keys. Phishing can happen via email, text messages, or even fake websites.

Exchange Hacks: While cryptocurrency exchanges have bolstered their security measures over the years, they are still lucrative targets for hackers. In these attacks, hackers exploit security vulnerabilities to steal funds from exchange users.

Wallet Hacks: Crypto wallets, especially those connected to the internet (hot wallets), are susceptible to attacks. If an attacker gains access to your wallet's private keys, they can drain your funds.

Ponzi and Pyramid Schemes: These fraud schemes promise high returns to investors. However, they rely on funds from new participants to pay profits to earlier investors. Eventually, when new investors dry up, the scheme collapses.

Awareness of these common risks is the first step towards better protection in the crypto space. As an investor or trader, you should always stay vigilant and double-check any information or transactions you make.

How to Protect Your Cryptocurrencies?

As the world of cryptocurrency grows, it becomes increasingly important to take measures to protect your digital investments. Here are some steps you can follow:

Use Secure Wallets: Opt for wallets known for their strong security features. Hardware wallets, which store your private keys offline, offer a higher level of security than online wallets.

Implementing 2FA: Two-Factor Authentication (2FA) adds an extra layer of security to your accounts. This means even if your password is compromised, an attacker would still need your second factor to access your account.

Keep Software Up-to-date: Ensure that your devices, wallets, and apps are up to date. Updates often include security enhancements that protect against newly discovered threats.

Use Secure Networks: Avoid conducting crypto transactions over public Wi-Fi networks. These networks can be insecure, making it easier for hackers to intercept sensitive data.

Be Wary of Phishing Attempts: Be vigilant about potential phishing attempts. Always double-check emails and messages, especially those prompting you to reveal sensitive information.

While there's no foolproof way to guard against all crypto security threats, these steps can greatly reduce your exposure to risk and help keep your investments safe.

Role of Cryptocurrency Security Standards

Cryptocurrency Security Standards (CCSS) are a framework of security protocols designed by the CryptoCurrency Certification Consortium (C4). 

This standardized set of rules provides an essential guideline for organizations handling cryptocurrencies, ensuring the safe management and security of these digital assets. 

The CCSS covers a wide range of security aspects like key generation, storage, and transaction operations, thus offering protection against potential cyber and physical threats. 

Organizations adhering to CCSS go through regular audits and are classified into three security levels. While not an absolute guarantee against attacks, CCSS adherence signifies a platform's commitment to proactive security measures, offering users a safer environment for their crypto transactions.

Top Examples of Crypto Thefts in History

Even though blockchain technology is highly secure, it's not completely immune to breaches. Here are some of the most notable cryptocurrency thefts in history that highlight the importance of crypto security:

Mt. Gox (2014): Once handling over 70% of all Bitcoin transactions worldwide, Mt. Gox was a significant player in the early days of Bitcoin. 

However, the platform was hacked in 2014, resulting in a loss of around 850,000 Bitcoins, then worth around $460 million. The event remains one of the most infamous episodes in crypto history, leading to the platform's eventual bankruptcy.

Coincheck (2018): The Tokyo-based exchange suffered one of the biggest crypto heists when hackers stole NEM tokens worth around $534 million. The attack exploited a weakness in Coincheck's security system, as the exchange stored its assets in a hot wallet instead of a much more secure cold wallet.

Binance (2019): In a large-scale security breach, hackers withdrew 7000 Bitcoins (around $40 million at that time) from the world's largest cryptocurrency exchange by trading volume. 

Binance confirmed that the hackers employed various methods, including phishing and viruses, to obtain a large number of 2FA codes and API keys.

These instances underline the significant security risks present in the cryptocurrency sector. They serve as reminders of the need for robust security measures and the importance of due diligence when handling cryptocurrencies. 

Even as the technology matures and security improves, remaining vigilant about potential risks is essential in the crypto space.

Frequently Asked Questions

Q1. What is a private key in the context of cryptocurrency?

A private key is a sophisticated form of cryptography that allows a user to access their cryptocurrency. It's an integral aspect of bitcoin and altcoins, and its secure nature ensures that only the owner of a private key can send cryptocurrency.

Q2. What is Two-Factor Authentication (2FA) and why is it important?

Two-Factor Authentication (2FA) is a security measure that requires two types of identification before accessing an account. Often, this involves a password and a secondary code sent to a trusted device. 

In the context of crypto security, 2FA adds an extra layer of protection, making it harder for potential intruders to access your crypto assets.

Q3. What is the difference between a hot wallet and a cold wallet?

A hot wallet is connected to the internet and allows easy access and transfer of assets. However, this convenience comes with a risk, as it can be a target for online hacking attempts. 

A cold wallet, on the other hand, is an offline storage option for cryptocurrencies, making it immune to online hacking attempts but somewhat less convenient for frequent use.

Q4. What are the most secure cryptocurrency exchanges?

The security of a cryptocurrency exchange can vary, and often depends on factors like the use of cold storage for assets, withdrawal protections, and 2FA. Some of the exchanges known for their security measures include eToro, Kraken, and Coinbase. However, users should always conduct personal research before choosing an exchange.

Q5. How can I keep up-to-date with the latest threats in the crypto space?

Many online resources can keep you updated on the latest security threats in the crypto space. Websites like CoinDesk, Cointelegraph, and cybersecurity blogs often report on recent security breaches and potential threats. Following crypto security experts on social media can also be helpful.

Q6. Are mobile wallets safe for storing cryptocurrencies?

While mobile wallets offer convenience, they are not the safest option for storing large amounts of cryptocurrencies due to potential threats like malware and hacking attempts. For larger investments, hardware or cold wallets are often recommended due to their superior security.

Q7. What steps should I take if my cryptocurrency has been stolen?

If you've fallen victim to a cryptocurrency theft, immediate actions include reporting the incident to local law enforcement and contacting your wallet provider or exchange to inform them of the breach. 

If possible, identify the transaction ID for the fraudulent transaction. While recovery of stolen crypto assets is challenging, these steps are essential to take as quickly as possible.

Conclusion

Cryptocurrency has the potential to revolutionize financial systems and empower individuals worldwide. However, it's vital to understand that investing in cryptocurrencies also means taking responsibility for the security of your digital assets. 

As the crypto ecosystem evolves, so do the threats that aim to destabilize it. Crypto security is not just essential - it's an absolute necessity for anyone venturing into the world of digital currencies.

As the cryptocurrency market continues to grow, it becomes increasingly critical for us to prioritize security to protect our investments and maintain the overall integrity of the blockchain ecosystem. Stay safe, stay secure, and remember: your digital wealth is your responsibility.

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

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

Token Metrics Team
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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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