# Read and sort CSV data (reverse chronological) data = [] with open(csv_path, 'r') as f: reader = csv.DictReader(f) for row in reader: # Convert date from YYYY-MM-DD to YYYYMMDD integer date_obj = datetime.strptime(row['Date'], '%Y-%m-%d') date_int = int(date_obj.strftime('%Y%m%d')) # Convert values record = 'date': date_int, 'open': float(row['Open']), 'high': float(row['High']), 'low': float(row['Low']), 'close': float(row['Close']), 'volume': int(row['Volume']), 'open_interest': 0.0 # Default if not provided data.append(record)
import glob csv_files = glob.glob('C:/CSVs/*.csv') for i, csv_file in enumerate(csv_files): security_name = os.path.basename(csv_file).replace('.csv', '') dat_filename = f'Fi+1:05d.DAT' # F00001.DAT, F00002.DAT, etc. csv_to_metastock(csv_file, 'C:/MetaStock/BatchData', security_name) convert csv to metastock format
# Reverse to MetaStock order (newest first) data.reverse() # Read and sort CSV data (reverse chronological)
# Create output folder if not exists os.makedirs(output_folder, exist_ok=True) File size in bytes ÷ 28 = Number
Then update the MASTER file with all security names (requires binary editing or use a tool like ). Best Free Tools Summary | Tool | Platform | Ease of Use | |------|----------|-------------| | MetaStock Converter (MSconv) | Windows | Easy | | Python script (above) | Any | Moderate | | Excel + Binary editor | Windows | Hard | | Notepad++ + Hex plugin | Windows | Very Hard | Final Checklist ✅ CSV has headers: Date, Open, High, Low, Close, Volume ✅ Dates converted to YYYYMMDD integers ✅ Data sorted newest to oldest (descending) ✅ Volume is integer, prices are floats ✅ Output folder path contains no spaces or special characters ✅ MetaStock is closed during file write (to avoid locking)
Once done, your CSV data will function exactly like native MetaStock data, allowing full charting, backtesting, and scanning.
File size in bytes ÷ 28 = Number of records Example: 2800 bytes ÷ 28 = 100 days of data. Using Python, loop through a folder: