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# analysis/technical.py
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'
} |