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GifariKemal e8355b3f62 feat: add 5 dashboard features — dark mode, trade history, backtests, model insights, alerts
- Dark mode: class-based theme toggle with localStorage persistence and flash prevention
- Trade History (/trades): paginated table, stats cards, equity curve chart with DB API endpoints
- Backtest Viewer (/backtests): log parser for 35 backtest results, sidebar + detail + comparison tabs
- Model Insights: dashboard card + dialog showing feature importance, regime distribution, training history
- Alert/Signal Log (/alerts): signal stats, filterable table with execution tracking
- API: 8 new endpoints with psycopg2 DB connection pool
- Dark mode sweep across books page, about dialog, and all dashboard components
- Architecture docs rewritten with Mermaid diagrams (23 docs)
- README and FEATURES.md rewritten bilingual (Indonesian + English)
- main_live.py: write model_metrics.json on startup and retrain

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-09 05:46:54 +07:00

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Konfigurasi — Pusat Pengaturan Bot

File: src/config.py Class: TradingConfig, RiskConfig, SMCConfig, MLConfig, ThresholdsConfig, RegimeConfig Sumber: Environment variables (.env)


Struktur Konfigurasi

graph TD
    A[".env File"] --> B["TradingConfig.from_env()"]
    B --> C["CapitalMode<br/>SMALL / MEDIUM"]
    C -->|"≤ $10.000"| D["SMALL<br/>Risk 1%, Max Lot 0.05"]
    C -->|"> $10.000"| E["MEDIUM<br/>Risk 0.5%, Max Lot 2.0"]
    B --> F["RiskConfig"]
    B --> G["SMCConfig"]
    B --> H["MLConfig"]
    B --> I["ThresholdsConfig"]
    B --> J["RegimeConfig"]

2 Mode Kapital

Mode SMALL (≤ $10.000) — Growth Mode

Parameter Nilai Keterangan
risk_per_trade 1.0% $50 risiko per trade (akun $5.000)
max_daily_loss 3.0% Batas kerugian harian $150
max_leverage 1:100 Leverage tinggi untuk akun kecil
max_positions 3 Maksimal 3 posisi bersamaan
max_lot_size 0.05 Batas atas lot per trade
min_lot_size 0.01 Lot minimum
execution_timeframe M15 Scalping / day trading

Mode MEDIUM (> $10.000) — Preservation Mode

Parameter Nilai Keterangan
risk_per_trade 0.5% $250 risiko per trade (akun $50.000)
max_daily_loss 2.0% Batas kerugian harian $1.000
max_leverage 1:30 Leverage konservatif
max_positions 5 Lebih banyak diversifikasi
max_lot_size 2.0 Batas atas lot
execution_timeframe H1 Swing trading
trend_timeframe H4 Analisis trend jangka menengah

Thresholds (Ambang Batas)

ML Confidence

Parameter Nilai Fungsi
ml_min_confidence 0.65 Minimum confidence untuk pertimbangkan sinyal
ml_entry_confidence 0.70 Default confidence untuk entry
ml_high_confidence 0.75 High confidence — sinyal kuat
ml_very_high_confidence 0.80 Sangat yakin — lot multiplier aktif

Dynamic Threshold

Parameter Nilai Kondisi
dynamic_threshold_aggressive 0.65 Pasar trending kuat
dynamic_threshold_moderate 0.70 Kondisi normal
dynamic_threshold_conservative 0.75 Pasar bergejolak

Profit/Loss ($)

Parameter Nilai Keterangan
min_profit_to_secure $15 Mulai pertimbangkan take profit
good_profit_level $25 Level profit bagus
great_profit_level $40 Hard take profit — ambil profit

Trading Timing

Parameter Nilai Keterangan
trade_cooldown_seconds 300 5 menit antar trade
loop_interval_seconds 30 Interval main loop
sydney_lot_multiplier 0.5 Lot dikurangi 50% saat Sydney

Environment Variables (.env)

# MetaTrader 5 — WAJIB
MT5_LOGIN=12345678
MT5_PASSWORD=your_password
MT5_SERVER=YourBroker-Server
MT5_PATH=C:/Program Files/MetaTrader 5/terminal64.exe

# Telegram — OPSIONAL
TELEGRAM_BOT_TOKEN=bot123:ABC-DEF
TELEGRAM_CHAT_ID=123456789

# Trading
CAPITAL=5000              # Menentukan mode (SMALL/MEDIUM)
SYMBOL=XAUUSD             # Pair yang diperdagangkan

# Override (opsional)
RISK_PER_TRADE=1.0        # Override risk per trade (%)
MAX_DAILY_LOSS_PERCENT=3.0
MAX_POSITION_SIZE=0.05
AI_CONFIDENCE_THRESHOLD=0.65
FLASH_CRASH_THRESHOLD=2.5

Kalkulasi Position Sizing

Bot menggunakan metode Half-Kelly Criterion untuk menghitung ukuran lot:

def calculate_position_size(self, entry_price, stop_loss_price, account_balance=None):
    # 1. Hitung jumlah risiko dalam $
    risk_amount = balance * (risk_per_trade / 100)

    # 2. Hitung jarak SL dalam pips
    sl_distance = abs(entry_price - stop_loss_price)
    sl_pips = sl_distance / 0.1  # XAUUSD: 1 pip = $0.1

    # 3. Hitung lot size
    lot_size = risk_amount / (sl_pips * pip_value_per_lot)

    # 4. Apply Half-Kelly (keamanan)
    lot_size *= 0.5

    # 5. Round dan batasi
    lot_size = round(lot_size / lot_step) * lot_step
    lot_size = max(min_lot, min(lot_size, max_lot))

Contoh: Akun $5.000, SL 50 pips, risiko 1%:

  • Risiko = $50
  • Lot = $50 / (50 × $1) = 0.01 lot (setelah Half-Kelly)

Validasi Konfigurasi

def _validate_required_settings(self):
    """Validasi environment variables wajib saat startup."""
    # MT5_LOGIN harus ada dan > 0
    # MT5_PASSWORD harus ada dan tidak kosong
    # MT5_SERVER harus ada dan tidak kosong
    # CAPITAL harus > 0
    # Jika ada yang hilang → ValueError dengan pesan jelas

Bot tidak bisa berjalan tanpa kredensial MT5 yang valid.