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| import numpy as np | |
| import cv2 | |
| from datetime import datetime | |
| def extract_candle_data(image): | |
| # Basic HSV-based detection placeholder | |
| # You should replace with your detailed TRANSFINITY detection logic | |
| return { | |
| "candles": [], # Populate with parsed candle info | |
| "current_time": datetime.utcnow() + timedelta(hours=6), # UTC+6 | |
| "asset": "UNKNOWN_OTC" | |
| } | |
| def detect_valid_signal(data): | |
| # Placeholder signal logic (replace with scoring engine) | |
| current_time = data["current_time"] | |
| time_str = current_time.strftime("%H:%M") | |
| asset = data["asset"] | |
| # Insert your advanced scoring + filter logic here | |
| # For now, simulate a PUT signal | |
| signal_ok = True # Replace with your conditions | |
| if signal_ok: | |
| return f"{time_str} • {asset} • PUT" | |
| return None | |