Files
xau-ai-trading-bot/QUICK-START.md
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buckybonez 82eca84230 feat: apply #28B smart breakeven + #31B H1 EMA20 filter, add backtests #26-#32
Live trading optimizations (cumulative: $2,807 net, 81.8% WR, Sharpe 3.97):
- #28B: Smart breakeven locks profit at entry + 0.5x ATR instead of fixed $2
- #31B: H1 Price vs EMA20 filter — BUY only when H1 bullish, SELL only when bearish

Backtests #26-#32 (7 scripts testing sell improvement, regime-aware entry,
confluence scoring, dynamic RR, multi-TF H1, and ML exit optimizer).
Winners: #28B (+$229), #31B (+$343). Failed: #26, #27, #29, #30, #32.

Also includes: web dashboard redesign, Docker setup, startup scripts.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-08 10:33:24 +07:00

3.4 KiB

Quick Start - Tambah Dashboard ke Docker Existing

Status Saat Ini

Docker Compose sudah ada Service postgres sudah running (container: trading_bot_db) Service trading-api dan dashboard sudah didefinisikan tapi belum di-build

🚀 Cara Menjalankan

1. Setup Environment (Kalau Belum)

cd "C:\Users\Administrator\Videos\Smart Automatic Trading BOT + AI"

REM Copy environment template kalau belum ada
copy .env.docker.example .env

REM Edit dengan MT5 credentials Anda
notepad .env

Pastikan isi .env:

MT5_LOGIN=your_login
MT5_PASSWORD=your_password
MT5_SERVER=your_server
MT5_PATH=C:/Program Files/MetaTrader 5/terminal64.exe

SYMBOL=XAUUSD
CAPITAL=10000

2. Build Services Baru

REM Build trading-api dan dashboard
docker-compose build trading-api dashboard

Ini akan:

  • Build Dockerfile untuk Python API
  • Build Dockerfile untuk Next.js Dashboard
  • Tidak ganggu database yang sudah running

3. Start Services Baru

REM Start trading-api dan dashboard
docker-compose up -d trading-api dashboard

4. Check Status

docker-compose ps

Output akan menunjukkan:

NAME                     STATUS                 PORTS
trading_bot_db           Up (healthy)          0.0.0.0:5432->5432/tcp
trading_bot_api          Up (healthy)          0.0.0.0:8000->8000/tcp
trading_bot_dashboard    Up (healthy)          0.0.0.0:3000->3000/tcp

5. Akses Dashboard

Buka browser:

📋 Commands Penting

# Lihat logs
docker-compose logs -f dashboard
docker-compose logs -f trading-api

# Restart service
docker-compose restart trading-api
docker-compose restart dashboard

# Stop service
docker-compose stop trading-api dashboard

# Start lagi
docker-compose up -d trading-api dashboard

# Rebuild setelah update code
docker-compose build trading-api dashboard
docker-compose up -d trading-api dashboard

🔍 Troubleshooting

Build Error

# Clean build
docker-compose build --no-cache trading-api dashboard

Service Tidak Start

# Check logs
docker-compose logs trading-api
docker-compose logs dashboard

# Check health
curl http://localhost:8000/api/health
curl http://localhost:3000

Port Conflict

Edit .env:

API_PORT=8001
DASHBOARD_PORT=3001

Lalu restart:

docker-compose down trading-api dashboard
docker-compose up -d trading-api dashboard

One-Liner (All in One)

cd "C:\Users\Administrator\Videos\Smart Automatic Trading BOT + AI" && docker-compose build trading-api dashboard && docker-compose up -d trading-api dashboard && docker-compose ps

📊 Arsitektur

Docker Compose Project: "smart-automatic-trading-bot-ai"
├── postgres (RUNNING) ✅
│   └── trading_bot_db
├── trading-api (BUILD & START) ⚡
│   └── trading_bot_api
└── dashboard (BUILD & START) ⚡
    └── trading_bot_dashboard

Checklist


That's it! Simple kan? 🎉