Is Smarttradebot Safe?

Smarttradebot — Nerq Trust Score 38.7/100 (E grade). Based on analysis of 5 trust dimensions, it is has significant safety risks. Last updated: 2026-04-02.

Exercise caution with Smarttradebot. Smarttradebot is a software tool with a Nerq Trust Score of 38.7/100 (E). It is below the recommended threshold of 70. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-02. Machine-readable data (JSON).

Is Smarttradebot safe?

NO — USE WITH CAUTION — Smarttradebot has a Nerq Trust Score of 38.7/100 (E). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.

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What is Smarttradebot's trust score?

Smarttradebot has a Nerq Trust Score of 38.7/100, earning a E grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.

Overall Trust
38.7

What are the key security findings for Smarttradebot?

Smarttradebot's strongest signal is overall trust at 38.7/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Composite trust score: 38.7/100 across all available signals

What is Smarttradebot and who maintains it?

Authorda9632ab84e09f310170f0eb87bc17c36e0d5d8ee5b42d67
Categorycommunity
Sourcehttps://agentverse.ai/agents/smarttradebot

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What Is Smarttradebot?

Smarttradebot is a software tool in the community category available on agentverse. Nerq Trust Score: 39/100 (E).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.

How Nerq Assesses Smarttradebot's Safety

Nerq evaluates every software tool across 13+ independent trust signals drawn from public sources including GitHub, NVD, OSV.dev, OpenSSF Scorecard, and package registries. These signals are grouped into five core dimensions: Security (known CVEs, dependency vulnerabilities, security policies), Maintenance (commit frequency, release cadence, issue response times), Documentation (README quality, API docs, examples), Compliance (license, regulatory alignment across 52 jurisdictions), and Community (stars, forks, downloads, ecosystem integrations).

Smarttradebot receives an overall Trust Score of 38.7/100 (E), which Nerq considers low. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.

Nerq updates trust scores continuously as new data becomes available. To get the latest assessment, query the API: GET nerq.ai/v1/preflight?target=SmartTradeBot

Each dimension is weighted according to its importance for the tool's category. For example, Security and Maintenance carry higher weight for tools that handle sensitive data or execute code, while Community and Documentation are weighted more heavily for developer-facing libraries and frameworks. This ensures that Smarttradebot's score reflects the risks most relevant to its actual usage patterns. The final score is a weighted average across all five dimensions, normalized to a 0-100 scale with letter grades from A (highest) to F (lowest).

Who Should Use Smarttradebot?

Smarttradebot is designed for:

Risk guidance: We recommend caution with Smarttradebot. The low trust score suggests potential risks in security, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.

How to Verify Smarttradebot's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Review the repository security policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Smarttradebot's dependency tree.
  3. Review permissions — Understand what access Smarttradebot requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Smarttradebot in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=SmartTradeBot
  6. Review the license — Confirm that Smarttradebot's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
  7. Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses security concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Smarttradebot

When evaluating whether Smarttradebot is safe, consider these category-specific risks:

Data handling

Understand how Smarttradebot processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency security

Check Smarttradebot's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

Regularly check for updates to Smarttradebot. Security patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Smarttradebot connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.

License and IP compliance

Verify that Smarttradebot's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Smarttradebot in violation of its license can expose your organization to legal liability.

Best Practices for Using Smarttradebot Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Smarttradebot while minimizing risk:

Conduct regular audits

Periodically review how Smarttradebot is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

Ensure Smarttradebot and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

Grant Smarttradebot only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for security advisories

Subscribe to Smarttradebot's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Smarttradebot is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Smarttradebot?

Even promising tools aren't right for every situation. Consider avoiding Smarttradebot in these scenarios:

For each scenario, evaluate whether Smarttradebot's trust score of 38.7/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Smarttradebot Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among community tools, the average Trust Score is 62/100. Smarttradebot's score of 38.7/100 is below the category average of 62/100.

This suggests that Smarttradebot trails behind many comparable community tools. Organizations with strict security requirements should evaluate whether higher-scoring alternatives better meet their needs.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderate in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.

Trust Score History

Nerq continuously monitors Smarttradebot and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or maintenance patterns change, Smarttradebot's score is updated within 24 hours.

Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Smarttradebot's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=SmartTradeBot&include=history

Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Smarttradebot are strengthening or weakening over time.

Smarttradebot vs Alternatives

In the community category, Smarttradebot scores 38.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Key Takeaways

Frequently Asked Questions

Is Smarttradebot safe to use?
Exercise caution. SmartTradeBot has a Nerq Trust Score of 38.7/100 (E). Strongest signal: overall trust (38.7/100). Score based on multiple trust dimensions.
What is Smarttradebot's trust score?
SmartTradeBot: 38.7/100 (E). Score based on: multiple trust dimensions. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=SmartTradeBot
What are safer alternatives to Smarttradebot?
In the community category, higher-rated alternatives include DemoAgent57 (64/100), ATS Resume Generation Agent (64/100), InTouch: Bridging Memory Gaps (64/100). SmartTradeBot scores 38.7/100.
How often is Smarttradebot's safety score updated?
Nerq continuously monitors Smarttradebot and updates its trust score as new data becomes available. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 38.7/100 (E), last verified 2026-04-02. API: GET nerq.ai/v1/preflight?target=SmartTradeBot
Can I use Smarttradebot in a regulated environment?
Smarttradebot has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

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