maybe-hft

Use when hedging EA dengan sistem trailing stop dan pending order otomatis. Converted dari MQL5, cross-platform (Windows/Linux/Mac). Compatible dengan mt5linux Docker. Use when working with maybe hft.

SKILL.md

GitHub

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

Rationalization Reality
"First result is good enough" Deep research finds better answers. Keep digging.
"I do not need to verify sources" Unverified sources lead to wrong conclusions. Always cross-check.
"Research is a one-time thing" Markets change. Research needs to be continuous, not one-off.

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