# Maybe Hft

> Hedging Expert Advisor in Python with trailing stop and automated pending orders, converted from MQL5 and cross-platform compatible with mt5linux Docker.

- Skill: `oyi77/maybe-hft` (Agent Skill)
- Install (CLI): `npx skillmds@latest add oyi77/maybe-hft`
- Raw SKILL.md: https://api.skillmd.com/api/skills/oyi77/maybe-hft/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra, Containers & Kubernetes
- Tags: Docker, Expert Advisor, Hedging, Mql5, Mt5linux, Pending Orders, Python, Trailing Stop
- License: Apache-2.0
- Author: oyi77 (https://skillmd.com/u/oyi77)
- Updated: 2026-08-22
- Page: https://skillmd.com/skills/oyi77/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

```python
# 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
1. **Execute** — Run maybe hft workflow with configured parameters
1. **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