| |
| import numpy as np |
| from data.api_client import YahooFinanceClient |
|
|
| class TechnicalAnalyzer: |
| @staticmethod |
| def calculate_rsi(data, window=14): |
| delta = data['Close'].diff() |
| gain = (delta.where(delta > 0, 0)).rolling(window=window).mean() |
| loss = (-delta.where(delta < 0, 0)).rolling(window=window).mean() |
| rs = gain / loss |
| return 100 - (100 / (1 + rs)) |
|
|
| @staticmethod |
| def calculate_sma(data, window): |
| return data['Close'].rolling(window=window).mean() |
|
|
| def analyze(self, ticker): |
| data = YahooFinanceClient.download_data(ticker, period='1y') |
| if data.empty or data.shape[0] < 50: |
| return None |
|
|
| sma_50 = self.calculate_sma(data, 50).iloc[-1].item() |
| current_price = data['Close'].iloc[-1].item() |
| rsi = self.calculate_rsi(data).iloc[-1].item() |
|
|
| return { |
| 'price': current_price, |
| 'sma_50': sma_50, |
| 'price_vs_sma': (current_price / sma_50) - 1, |
| 'rsi': rsi if not np.isnan(rsi) else 50, |
| 'trend': 'bullish' if current_price > sma_50 else 'bearish' |
| } |
