Безопасен ли Stockanalysisagent?
Stockanalysisagent — Nerq Trust Score 53.0/100 (Оценка D). На основе анализа 4 измерений доверия, считается имеющим заметные проблемы безопасности. Последнее обновление: 2026-04-02.
Используйте Stockanalysisagent с осторожностью. Stockanalysisagent is a software tool с рейтингом доверия Nerq 53.0/100 (D), based on 4 независимых показателей данных. Ниже рекомендуемого порога в 70. Обслуживание: 0/100. Popularity: 0/100. Данные из multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Последнее обновление: 2026-04-02. Машинночитаемые данные (JSON).
Безопасен ли Stockanalysisagent?
ОСТОРОЖНО — Stockanalysisagent имеет рейтинг доверия Nerq 53.0/100 (D). Умеренные сигналы доверия, но есть отдельные области, требующие внимания. Подходит для разработки — проверьте сигналы безопасности и обслуживания перед развёртыванием в продакшене.
Каков рейтинг доверия Stockanalysisagent?
Stockanalysisagent имеет рейтинг доверия Nerq 53.0/100, earning a D grade. This score is based on 4 independently measured показателей including безопасность, обслуживание, and принятие сообществом.
Каковы основные выводы по безопасности Stockanalysisagent?
Stockanalysisagent's strongest signal is соответствие at 82/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
Что такое Stockanalysisagent и кто его поддерживает?
| Разработчик | OnursFriends |
| Категория | finance |
| Звёзды | 1 |
| Источник | https://huggingface.co/spaces/OnursFriends/StockAnalysisAgent |
| Protocols | huggingface_hub |
Соответствие нормативам
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 82/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Популярные альтернативы в finance
What Is Stockanalysisagent?
Stockanalysisagent is a software tool in the finance category: Automates stock market analysis.. It has 1 GitHub stars. Nerq Trust Score: 53/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including безопасность vulnerabilities, обслуживание activity, license соответствие, and принятие сообществом.
How Nerq Assesses Stockanalysisagent's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five показателей. Here is how Stockanalysisagent performs in each:
- Обслуживание (0/100): Stockanalysisagent is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API документация, usage examples, and contribution guidelines.
- Compliance (82/100): Stockanalysisagent is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. На основе GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 53.0/100 (D) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.
Who Should Use Stockanalysisagent?
Stockanalysisagent is designed for:
- Developers and teams working with finance tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Stockanalysisagent is suitable for development and testing environments. Before production deployment, conduct a thorough review of its безопасность posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Stockanalysisagent's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Проверьте repository безопасность policy, open issues, and recent commits for signs of active обслуживание.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Stockanalysisagent's dependency tree. - Отзыв permissions — Understand what access Stockanalysisagent requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Stockanalysisagent in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=StockAnalysisAgent - Проверьте license — Confirm that Stockanalysisagent'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.
- 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 безопасность concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Stockanalysisagent
When evaluating whether Stockanalysisagent is safe, consider these category-specific risks:
Understand how Stockanalysisagent processes, stores, and transmits your data. Проверьте tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Stockanalysisagent's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher безопасность risk.
Regularly check for updates to Stockanalysisagent. Безопасность patches and bug fixes are only effective if you're running the latest version.
If Stockanalysisagent 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.
Verify that Stockanalysisagent's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Stockanalysisagent in violation of its license can expose your organization to legal liability.
Best Practices for Using Stockanalysisagent Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Stockanalysisagent while minimizing risk:
Periodically review how Stockanalysisagent is used in your workflow. Check for unexpected behavior, permissions drift, and соответствие with your безопасность policies.
Ensure Stockanalysisagent and all its dependencies are running the latest stable versions to benefit from безопасность patches.
Grant Stockanalysisagent only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Stockanalysisagent's безопасность advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Stockanalysisagent is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Stockanalysisagent?
Even promising tools aren't right for every situation. Consider avoiding Stockanalysisagent in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional соответствие review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Stockanalysisagent 53.0/100 meets your organization's risk tolerance. We recommend running a manual безопасность assessment alongside the automated Nerq score.
How Stockanalysisagent Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among finance tools, the average Trust Score is 62/100. Stockanalysisagent's score of 53.0/100 is near the category average of 62/100.
This places Stockanalysisagent in line with the typical finance tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks умеренный 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 Stockanalysisagent 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 обслуживание patterns change, Stockanalysisagent'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 безопасность and quality. Conversely, a downward trend may signal reduced обслуживание, growing technical debt, or unresolved vulnerabilities. To track Stockanalysisagent's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=StockAnalysisAgent&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 — безопасность, обслуживание, документация, соответствие, and community — has evolved independently, providing granular visibility into which aspects of Stockanalysisagent are strengthening or weakening over time.
Stockanalysisagent vs Альтернативы
В категории finance, Stockanalysisagent получает 53.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Stockanalysisagent vs OpenBB — Trust Score: 78.7/100
- Stockanalysisagent vs qlib — Trust Score: 91.2/100
- Stockanalysisagent vs TradingAgents — Trust Score: 87.9/100
Основные выводы
- Stockanalysisagent имеет рейтинг доверия 53.0/100 (D) and is not yet Nerq Verified.
- Stockanalysisagent shows умеренный trust signals. Conduct thorough due diligence before deploying to production environments.
- Among finance tools, Stockanalysisagent scores near the category average of 62/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Часто задаваемые вопросы
Безопасен ли Stockanalysisagent для использования?
Что такое Stockanalysisagent's trust score?
Какие более безопасные альтернативы Stockanalysisagent?
How often is Stockanalysisagent's safety score updated?
Можно ли использовать Stockanalysisagent в регулируемой среде?
Disclaimer: Рейтинги доверия Nerq — это автоматические оценки, основанные на публично доступных сигналах. Они не являются рекомендацией или гарантией. Всегда проводите собственную проверку.