aptis-strategy-sdk

v0.5.3 safe
3.0
Low Risk

Python SDK for building plugin trading strategies on the Aptis platform

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators across various categories including network, shell execution, obfuscation, and credential handling. There is no evidence to suggest supply-chain attack vectors.

  • Low risk scores across all assessed categories.
  • No suspicious patterns or activities detected.
Per-check LLM notes
  • Network: The detected network call patterns are typical for handling HTTP requests with retry mechanisms and should not inherently suggest malicious activity.
  • Shell: No shell execution patterns were detected, indicating no immediate risk from shell command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, which could indicate a new or less active user, but no other red flags were identified.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 7 test file(s) found

  • 7 test file(s) detected (e.g. test_client.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://aptis.com/docs
  • Detailed PyPI description (20988 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 60 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • _retries=retry) session = requests.Session() session.mount("http://", adapter) session.mount("h
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Richard Chung" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aptis-strategy-sdk 
Create a fully-functional mini-trading application using the 'aptis-strategy-sdk' Python package. This application will serve as a simple yet powerful tool for users to test their trading strategies on the Aptis platform. The app should allow users to define, backtest, and deploy trading strategies directly from their local machine. Here’s a detailed breakdown of the steps and features required:

1. **Setup Environment**: Ensure you have Python installed along with the 'aptis-strategy-sdk'. You may also need to install other dependencies like pandas for data manipulation.

2. **User Interface**: Develop a user-friendly interface where users can input details about their trading strategy such as asset pairs, timeframes, and specific conditions (e.g., moving averages crossover).

3. **Strategy Definition**: Utilize the 'aptis-strategy-sdk' to define trading strategies programmatically. The SDK should provide functions to create and manipulate trading signals based on user inputs.

4. **Backtesting Module**: Implement a backtesting feature within the application. This module should simulate historical trades based on the defined strategy and display performance metrics like ROI, win/loss ratio, etc.

5. **Deployment Feature**: Once a strategy has been tested and refined through backtesting, users should be able to deploy it onto the Aptis platform via the SDK. This involves submitting the strategy to the platform for live execution.

6. **Performance Monitoring**: After deployment, provide real-time performance monitoring within the app. Users should be able to track their strategy's performance and make adjustments if necessary.

7. **Documentation & Support**: Include comprehensive documentation and support resources for users to understand how to use the application effectively and troubleshoot common issues.

By completing these steps, you'll create a versatile tool that leverages the power of 'aptis-strategy-sdk' to democratize access to algorithmic trading for both beginners and experienced traders.

💬 Discussion Feed

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