https://github.com/A6-9V/my-drive-projects.git @Jules is an ai agent from google that manage the trading system for this repository https://studio.firebase.google.com/studio-6309792933
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.github feat: implement unified MQL5 EA containerized deployment and CI/CD 2026-02-09 16:19:26 +00:00
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.gcloudignore Add GCP deployment configuration and scripts 2026-01-24 19:21:00 +00:00
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docker-compose.yml feat: implement unified MQL5 EA containerized deployment and CI/CD 2026-02-09 16:19:26 +00:00
Dockerfile feat: Add cloud deployment configurations and automation - Added Dockerfile and docker-compose.yml for containerized deployment - Created render.yaml for Render.com deployment - Created railway.json for Railway.app deployment - Created fly.toml for Fly.io deployment - Added deploy_cloud.py script for multi-platform deployment - Created comprehensive Cloud Deployment Guide documentation - Added GitHub Actions workflow for cloud deployment validation - Updated README with cloud deployment quick start 2026-01-10 04:53:57 +07:00
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📓 Knowledge Base

  • NotebookLM (Primary): Access here
  • NotebookLM (Blueprint & Strategy): Access here
  • Note: These notebooks are available for reading and writing. AI agents must read them before starting work.

SMC + Trend Breakout (MTF) for Exness MT5

This repo contains:

  • mt5/MQL5/Indicators/SMC_TrendBreakout_MTF.mq5: visual indicator (BOS/CHoCH + Donchian breakout + lower-timeframe confirmation).
  • mt5/MQL5/Experts/SMC_TrendBreakout_MTF_EA.mq5: Expert Advisor (alerts + optional auto-trading).

☁️ Cloud Deployment

Deploy to cloud platforms:

  • Render.com: Auto-deploy with render.yaml
  • Railway.app: Deploy with railway.json
  • Fly.io: Deploy with fly.toml
  • Docker: Build and deploy anywhere

Quick Deploy:

# Setup all platform configs
python scripts/deploy_cloud.py all

# Deploy to specific platform
python scripts/deploy_cloud.py render
python scripts/deploy_cloud.py railway
python scripts/deploy_cloud.py flyio
python scripts/deploy_cloud.py docker --build

🐳 Docker Hub Deployment:

  1. Publish Image (Run locally):

    ./scripts/deploy_docker_hub.sh <USERNAME> <TOKEN>
    
  2. Run on VPS/Laptop:

    # Update and run
    ./scripts/update_vps.sh <USERNAME> <TOKEN>
    

📖 For detailed cloud deployment instructions, see Cloud Deployment Guide

🤖 Telegram Bot Deployment

Deploy and manage your trading system via Telegram!

Available Commands:

  • /deploy_flyio - Deploy to Fly.io
  • /deploy_render - Deploy to Render.com
  • /deploy_railway - Deploy to Railway.app
  • /status - Check deployment status

Setup:

# Set your Telegram user ID for access control
export TELEGRAM_ALLOWED_USER_IDS="your_telegram_user_id"

# Start the bot
python scripts/telegram_deploy_bot.py

📖 For detailed setup instructions, see Telegram Bot Setup Guide

Render workspace

My Blue watermelon Workspace tea-d1joqqi4d50c738aiujg

Quick Start: Full Setup

Run the automated setup script to validate your environment and get started:

bash setup.sh

This interactive script will:

  • Check for required dependencies (Python 3, Bash, Git)
  • Validate repository structure and shell scripts
  • Show CLI tools installation status (GitHub CLI, Firebase, Docker, Cursor, Jules)
  • Help you package MT5 files

For non-interactive/CI environments:

bash setup.sh --ci

Install into Exness MetaTrader 5

⚠️ Note: Custom Indicators and EAs are not supported on the Exness Web Terminal. You must use the Desktop version of MT5.

📖 For detailed deployment instructions, see Exness Deployment Guide

Quick start:

  1. Open Exness MT5.
  2. Go to File → Open Data Folder.
  3. Copy:
    • SMC_TrendBreakout_MTF.mq5 to MQL5/Indicators/
    • SMC_TrendBreakout_MTF_EA.mq5 to MQL5/Experts/
  4. In MT5, open MetaEditor (or press F4) and compile the files.
  5. Back in MT5: Navigator → Refresh.

🚀 Automated Startup (NEW!)

Quick Start:

  • Windows: powershell -ExecutionPolicy Bypass -File scripts\startup.ps1
  • Ubuntu/VPS:
    # First time setup (installs Python, Wine, etc.)
    bash scripts/setup_ubuntu.sh
    
    # Start the system
    ./scripts/startup.sh
    
  • Linux/WSL: ./scripts/startup.sh

Auto-Start on Boot:

  • Windows: powershell -ExecutionPolicy Bypass -File scripts\startup.ps1 -CreateScheduledTask
  • Linux: ./scripts/startup.sh --setup-systemd

📚 Documentation:

📖 GitHub Features:

The automation system handles:

  • MT5 Terminal startup
  • Python scripts execution
  • Scheduled tasks configuration
  • Process monitoring and logging
  • Windows Task Scheduler integration
  • Linux systemd/cron integration

Optional: package / deploy helpers

  • Create a zip you can copy to your PC:
    • bash scripts/package_mt5.sh → outputs dist/Exness_MT5_MQL5.zip
  • Copy directly into your MT5 Data Folder (run this on the machine that has MT5 installed):
    • bash scripts/deploy_mt5.sh "/path/from/MT5/File->Open Data Folder"

📺 Demo Scripts

Echo and Hello Window Demo:

  • python3 scripts/echo_hello.py - Run echo and hello window demo (Python version)
  • bash scripts/echo_hello.sh - Run echo and hello window demo (Shell version)

These simple demonstration scripts showcase basic functionality:

  • Echo messages to console
  • Display formatted hello window
  • Cross-platform support

📖 See Echo and Hello Window Guide for details

GitHub automation (reviews, CI, auto-merge, OneDrive sync)

This repo includes GitHub Actions workflows under .github/workflows/:

  • CD (CD - Continuous Deployment): comprehensive deployment automation
    • Triggered on push to main, tag creation, or manual dispatch
    • Builds MT5 package and Docker images
    • Deploys to cloud platforms (Render, Railway, Fly.io)
    • Deploys dashboard to GitHub Pages
    • Creates GitHub releases with assets
    • 📖 See CD Workflow Guide for details
  • CI (CI): runs on pull requests and pushes to main/master
    • Validates repo structure
    • Builds dist/Exness_MT5_MQL5.zip and uploads it as an artifact
  • Auto-merge enablement (Enable auto-merge (label-driven)): if a PR has the label automerge, it will enable GitHub’s auto-merge (squash). Your branch protection rules still control when it can merge (required reviews, required CI, etc.).
  • OneDrive sync (Sync to OneDrive (rclone)): on pushes to main (and manual runs), syncs mt5/MQL5 to OneDrive via rclone.

Recommended repo settings (GitHub → Settings):

  • Branch protection (main):
    • Require pull request reviews (at least 1)
    • Require status checks: CI / validate-and-package
    • (Optional) Require CODEOWNERS review
  • Auto-merge: enable “Allow auto-merge” in repo settings

OneDrive sync setup (required secrets):

  • RCLONE_CONFIG_B64: base64 of your rclone.conf containing a OneDrive remote.

Example (run locally, then paste into GitHub Secrets):

rclone config
base64 -w0 ~/.config/rclone/rclone.conf

Optional secrets:

  • ONEDRIVE_REMOTE: remote name in rclone.conf (default: onedrive)
  • ONEDRIVE_PATH: destination folder path (default: Apps/MT5/MQL5)

Firefox Relay API key (optional secrets):

  • SCRSOR
  • COPILOT

Set both to your Firefox Relay profile API key (https://relay.firefox.com/accounts/profile/). Store these as GitHub Secrets or in a local .env file (see .env.example). Do not commit secret values.

Cloudflare Configuration (required for domain registration/management):

  • CLOUDFLARE_ZONE_ID: Your Cloudflare Zone ID.
  • CLOUDFLARE_ACCOUNT_ID: Your Cloudflare Account ID.
  • DOMAIN_NAME: Your domain name (e.g., Lengkundee01.org).

Store these as GitHub Secrets or in a local .env file. See Secrets Management Guide for more details.

You can use the helper script to set these secrets if you have the GitHub CLI installed:

# First, update config/vault.json with your credentials
# Then run:
bash scripts/set_github_secrets.sh vault

Use the indicator

  • Attach SMC_TrendBreakout_MTF to a chart (your main timeframe).
  • Set LowerTF to a smaller timeframe (ex: main = M15, lower = M5 or M1).
  • Signals require lower-TF confirmation by default (EMA fast/slow direction).

Use the EA (push to terminal + optional auto trading)

  • Attach SMC_TrendBreakout_MTF_EA to a chart.
  • Enable Algo Trading in MT5 if you want auto entries.
  • If you want phone push alerts:
    • MT5 → Tools → Options → Notifications
    • enable push notifications and set your MetaQuotes ID.
  • For web request integrations (ZOLO-A6-9V-NUNA- plugin):
    • Set the EA input WebRequestURL to your bridge endpoint (example: https://your-bridge.example/api/signal)
    • Enable the EA input EnableWebRequest
    • Add your bridge URL to MT5's allowed URLs list:
      • MT5 → Tools → Options → Expert Advisors
      • Check "Allow WebRequest for listed URL"
      • Add the URL: https://your-bridge.example

🤖 AI Integration (Gemini & Jules)

The EA supports Google Gemini and Jules AI to confirm trades before entry.

Setup:

  1. Get an API Key:

  2. Configure MT5:

    • Go to Tools → Options → Expert Advisors.
    • Check "Allow WebRequest for listed URL".
    • Add the URLs:
      • https://generativelanguage.googleapis.com (for Gemini)
      • Your Jules API URL (e.g., https://api.jules.ai or similar)
  3. Configure the EA:

    • Set UseGeminiFilter to true (Enable AI).
    • Select AiProvider: PROVIDER_GEMINI or PROVIDER_JULES.
    • Paste your API Key into GeminiApiKey or JulesApiKey.

    Shared/Default Keys:

    • Gemini: [INSERT_GEMINI_API_KEY]
    • Jules: [INSERT_JULES_API_KEY]

🧠 AI Market Research & Upgrade Automation (New!)

Automate market analysis and code upgrades using Gemini and Jules.

Setup:

  1. Run the setup script:
    ./scripts/setup_research.sh
    
  2. Add your API keys to the .env file generated:
    GEMINI_API_KEY=...
    JULES_API_KEY=...
    JULES_API_URL=...
    

Features:

  • Market Research: Fetches real market data (via yfinance) and generates a report (docs/market_research_report.md).
  • Code Upgrades: Suggests EA improvements based on the research (docs/upgrade_suggestions.md).
  • Scheduling: Runs automatically every 4 hours via scripts/schedule_research.py.

Auto SL/TP + risk management (EA)

In SMC_TrendBreakout_MTF_EA:

  • SLMode
    • SL_ATR: SL = ATR × ATR_SL_Mult
    • SL_SWING: SL beyond last confirmed fractal swing (with SwingSLBufferPoints), fallback to ATR if swing is missing/invalid
    • SL_FIXED_POINTS: SL = FixedSLPoints
  • TPMode
    • TP_RR: TP = RR × SL distance
    • TP_FIXED_POINTS: TP = FixedTPPoints
    • TP_DONCHIAN_WIDTH: TP = Donchian channel width × DonchianTP_Mult (fallback to ATR width if needed)
  • RiskPercent
    • If RiskPercent > 0, lots are calculated from SL distance so the money at risk ≈ RiskPercent of Equity (or Balance if you disable RiskUseEquity).
    • RiskClampToFreeMargin can reduce lots if required margin is too high.

Notes / safety

  • This is a rules-based implementation of common “SMC” ideas (fractal swing BOS/CHoCH) and a Donchian breakout.
  • Test in Strategy Tester and/or demo before using real funds.

Contact