Check your dependencies for malware and vulnerabilities without leaving VS Code

Meet Spectra Code, for free

Get the extension
Spectra Assure
Community
  • Toolbox
  • Explore
  • Learn
  • ReversingLabs
    • Spectra Assure
    Community
    passEverything is awesome!
    Scanned: 1 day ago

    quant-trading-backtrader

    1.0.0
    latest
    Build, backtest, and optimize quantitative trading strategies in Python using Backtrader with support for indicators, risk management, and reporting.
    License: Permissive (MIT-0)
    Published: 8 months ago
    Owner: @gmsx000-cloud
    See on ClawHub

    SAFE Assessment

    Compliance

    Licenses
    No license compliance issues
    Secrets
    No sensitive information found

    Security

    Vulnerabilities
    No known vulnerabilities detected
    Hardening
    No application hardening issues

    Threats

    Tampering
    No evidence of software tampering
    Malware
    No evidence of malware inclusion
    Overviewissues1vulnerabilities0malware0behaviors9dependencies0contributors1versions1

    FAQ for quant-trading-backtrader

    What is quant-trading-backtrader?

    Build, backtest, and optimize quantitative trading strategies in Python using Backtrader with support for indicators, risk management, and reporting.

    Is quant-trading-backtrader malicious or is it safe to use?

    The ClawHub package quant-trading-backtrader was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. No risks were detected, therefore, this version of the package is currently considered as safe to use.

    Is quant-trading-backtrader popular?

    The ClawHub package quant-trading-backtrader ranks among the top 10000 projects in this community. It has 2K recorded downloads. A package's popularity is not a good indicator of its safety, visit the SAFE Assessment section to see the full analysis of package deployment risk categories.

    How do I secure quant-trading-backtrader once it is in my app?

    Since we can't know when or where malicious attacks will happen, we recommend tracking how quant-trading-backtrader behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a quant-trading-backtrader version, which can prevent advanced software supply chain attacks. Read how our technology can help prevent future attacks similar to SolarWinds and 3CX.

    Did you know...

    ... that you can use ReversingLabs’ Spectra Assure platform to perform regular risk assessments of packages you develop in-house?

    We recommend continuous software safeness monitoring through CI/CD integrations and pre-release/deployment checks. In addition to basic package information found on this page our platform offers rich reports for developers and DevSecOps that help them remediate all reported issues.