mirror of
https://github.com/chrisnov-it/quantumbotx.git
synced 2026-07-27 18:57:47 +00:00
Reynov Christian
78737b6835
- Update `.gitignore` to include `lab/` for backtesting and raw data. - Refactor `app.py` to improve error handling and logging. - Remove deprecated files: `core/bot_logic.py`, `core/bots/base_bot.py`, `core/bots/manager.py`, `core/db/database.py`, `core/routes/api_analysis.py`, `core/routes/api_bots_analysis.py`, `core/strategies/logic_ma.py`, `core/strategies/logic_rsi.py`. - Modify multiple files to enhance bot management, routing, and strategy handling. - Update JavaScript and HTML templates for better UI and functionality.
38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
# download_data.py
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import MetaTrader5 as mt5
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import pandas as pd
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from datetime import datetime
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# --- Kredensial Anda ---
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ACCOUNT = 94464091
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PASSWORD = "3rX@GcMm"
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SERVER = "MetaQuotes-Demo"
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# --- Inisialisasi MT5 ---
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if not mt5.initialize(login=ACCOUNT, password=PASSWORD, server=SERVER):
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print("Gagal menginisialisasi MT5!", mt5.last_error())
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mt5.shutdown()
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else:
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print("Berhasil terhubung ke MT5")
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# --- Parameter Download ---
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symbol = "SP500m" # Ganti dengan simbol yang Anda inginkan
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timeframe = mt5.TIMEFRAME_H1 # Timeframe 1 Jam
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start_date = datetime(2020, 1, 1) # Mulai dari 1 Januari 2020
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end_date = datetime.now() # Sampai sekarang
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# --- Ambil Data ---
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rates = mt5.copy_rates_range(symbol, timeframe, start_date, end_date)
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mt5.shutdown()
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# --- Simpan ke File CSV ---
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if rates is not None and len(rates) > 0:
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df = pd.DataFrame(rates)
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df['time'] = pd.to_datetime(df['time'], unit='s')
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# Simpan ke file agar tidak perlu download lagi
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file_path = f'{symbol}_{timeframe}_data.csv'
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df.to_csv(file_path, index=False)
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print(f"Data berhasil disimpan ke {file_path}. Total {len(df)} baris.")
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else:
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print("Tidak ada data yang diunduh.") |