Other

项目介绍

francomascareloai/EA_SCALPER_XAUUSD 是一个托管在 GitHub 上的开源项目,主要使用 MQL5 编写,采用 Other 许可证,目前获得 182 个 Star、53 次 Fork。

仓库全名
francomascareloai/EA_SCALPER_XAUUSD
开源许可证
Other
Star 数
182
Fork 数
53
未关闭 Issue
2

README 摘要

EASCALPERXAUUSD — XAUUSD (Gold) Trading Research, in the open Status: work in progress. This is an active research-and-engineering project, not a finished product. The robot is not "done" — we are still building, fixing, and validating in the open. If you're here for a plug-and-play money machine, this isn't it (and you should be suspicious of anyone selling you one). This repository is the public MQL5 snapshot of a…

完整内容见 GitHub 原始 README 或本页 。

常见问题

EA_SCALPER_XAUUSD 用什么语言开发?

主要使用 MQL5 编写,采用 Other 许可证,目前有 182 个 Star。

EA_SCALPER_XAUUSD 可以免费商用吗?

仓库标注的许可证为 Other,商用前请先阅读仓库 LICENSE 文件确认授权范围。

如何获取 EA_SCALPER_XAUUSD 的源码?

可以直接克隆仓库:git clone https://github.com/francomascareloai/EA_SCALPER_XAUUSD.git;安装与运行步骤见仓库 README。

EA_SCALPER_XAUUSD 最近还在维护吗?

仓库最近一次更新为 6月21日,当前有 2 个未关闭 Issue;Star 数为 182,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

WIP — XAUUSD (Gold) automated-trading research, in the open. MQL5 (public) + Python/NautilusTrader (private). Studied thousands of bots first. No signals, no profit claims — just the engineering.

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

语言占比

Batchfile
HCL
HLSL
HTML
MQL4
MQL5
PowerShell
Python
Shell

README

EA_SCALPER_XAUUSD — XAUUSD (Gold) Trading Research, in the open

Status: work in progress. This is an active research-and-engineering project, not a finished product. The robot is not “done” — we are still building, fixing, and validating in the open. If you’re here for a plug-and-play money machine, this isn’t it (and you should be suspicious of anyone selling you one).

This repository is the public MQL5 snapshot of a larger XAUUSD automated-trading project. It’s kept public for study, analysis, and engineering collaboration.

Why this project exists

Before writing a line of strategy code, we analyzed 5,000+ trading bots floating around forums, marketplaces and Telegram groups — to map what’s real engineering versus what’s repackaged hype. Most were the same recycled martingale/grid with a new skin. This project is the attempt to do the opposite, in the open: show the actual code, the actual decisions, and the actual unfinished parts.

So the honest pitch is: no scams, no signals, no “guaranteed” returns — just the engineering, visible and in progress.

What this is

  • A public MQL5 snapshot (larger than the minimal CORE demo) you can read and learn from.
  • A reference codebase to discuss architecture, study prop-firm constraints (Apex / FTMO style), and contribute improvements in docs / infra / quality.
  • A “building in public” log of a real, messy, still-evolving system.

What this is NOT

  • ❌ Not a promise of profitability — there are no live performance claims here.
  • ❌ Not financial advice.
  • ❌ Not a finished or production-ready robot.
  • ❌ Not allowed for live/funded trading or broker-connected paper/demo execution (see TRADING_RESTRICTIONS.md).

The bigger picture (open-core split)

  • Public minimal CORE (study/demo only): aurum-core
    • Minimal, auditable demo EA + educational indicators.
  • This repo: the broader MQL5 snapshot for study and collaboration.
  • Private work-in-progress system: the Python/NautilusTrader stack where the active development happens (not public yet).

The private side is where we’re currently working on the hard parts:

  • Strategy layer (multiple variants, routing/selection) — in progress
  • Execution layer (adapters, cost/latency/slippage modeling) — in progress
  • Risk & compliance (drawdown tracking, safety gates, time windows) — in progress
  • Backtesting & optimization (walk-forward, Monte Carlo, stress tests) — in progress
  • Observability and runbooks — in progress

None of the proprietary rules, parameters, or “go-live” wiring are included in this public snapshot — partly because they’re proprietary, and partly because they’re not finished and we won’t pretend otherwise.

Tech stack

  • MQL5 — MetaTrader 5 Expert Advisors and indicators (this snapshot).
  • Python + NautilusTrader — event-driven backtesting/execution (private side).
  • SMC concepts, ML regime detection, ONNX inference — explored and being validated, not all wired end-to-end yet.

Contributing (limited PR scope)

This repository accepts PRs with a limited scope:

  • ✅ Accepted: docs, CI/build, tooling, refactors for clarity, and non-edge bugfixes.
  • ❌ Not accepted: strategy changes, entry/exit rules, or anything that bypasses TRADING_RESTRICTIONS.md.

A lightweight CLA is required before merging contributions (see CONTRIBUTING.md).

For serious engineers — let’s build together

If you’re a serious, dedicated engineer (quant, Python/Nautilus, MQL5, ML, infra) and you genuinely want to help move this project forward, there’s an open door. This isn’t a “leave a drive-by PR” ask — it’s an invitation to real collaboration.

The deal is simple and two-way:

  • You contribute real engineering to the project.
  • In return, I help you back — mentorship, deep technical Q&A, and working through hard problems together.

If that’s you, reach out on Telegram (@francomascareloai) with a bit about your background and what you’d like to work on. Strong contributors can earn access to deeper parts of the project beyond this public snapshot.

What I’m not looking for: signal-seekers, copy-paste contributors, or anyone trying to extract the edge. This is for people who like the engineering.

Support development (optional)

If the project is useful to you and you want to support the engineering work:

Support is for educational content and engineering Q&A — not signals, not performance claims.

Contact

  • Telegram: @francomascareloai

Disclaimer

This project is shared for educational purposes only. Trading involves substantial risk of loss and is not suitable for all investors. Past results — simulated or real — do not guarantee future performance.

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