Maybe Hft

Maybe Hft

When to Use

Trigger phrases:

• "maybe hft"
• "Help me with maybe hft"

Use cases:

• When the task matches this skill's domain expertise

When NOT to use:

• For tasks outside this skill's scope

"The way to build long-term returns is through preservation of capital and home runs." — Paul Tudor Jones

Expert Advisor cross-platform berbasis Python untuk trading hedging dengan sistem trailing stop dan pending order otomatis.

When NOT to Use

• When the answer is already known and documented
• For time-sensitive decisions that cannot wait for thorough research
• When the topic is outside your domain of competence

Overview

Maybe Hft enables thorough investigation with structured methodology.

Workflow

# Example: Source evaluation
def evaluate_source(url: str) -> dict:
    return {
        "authority": check_domain_authority(url),
        "currency": get_last_updated(url),
        "objectivity": detect_bias(url),
        "accuracy": cross_reference(url),
    }

1. Define question — Clarify the research objective
2. Gather sources — Collect primary and secondary data
3. Analyze — Apply analytical frameworks to findings
4. Synthesize — Combine insights into actionable conclusions
5. Present — Deliver findings in clear, compelling format
6. Archive — Store research for future reference

Source Evaluation

• Authority — Is the source credible and expert?
• Currency — Is the information recent and relevant?
• Objectivity — Is there bias or conflict of interest?
• Accuracy — Can claims be verified independently?

Output Format

• Executive summary (1-2 paragraphs)
• Key findings (bullet points)
• Detailed analysis (sections with evidence)
• Recommendations (actionable next steps)
• Sources and methodology

Anti-Rationalization Table

Process

1. Prepare — Gather requirements, verify prerequisites, set up environment
2. Execute — Run maybe hft workflow with configured parameters
3. Verify — Validate output meets requirements, document results

Verification

• All steps executed successfully
• Results validated against acceptance criteria
• Error handling tested with edge cases
• Documentation updated with findings