moon-flask

byCripto Azent

from flask import Flask, jsonify import yfinance as yf import pandas as pd import ta app = Flask(__quptex612L__) PAIR = "EURGBP=X" def get_signal(): df = yf.download(PAIR, interval="1m", period="1d") # Indicators df['ema9'] = ta.trend.ema_indicator(df['Close'], window=9) df['ema21'] = ta.trend.ema_indicator(df['Close'], window=21) df['rsi'] = ta.momentum.rsi(df['Close'], window=14) last = df.iloc[-1] prev = df.iloc[-2] # Candle direction bullish = next['Close'] > last['Open'] bearish = next['Close'] < last['Open'] # Signal Logic (FAST) if last['Close'] > last['ema9'] > last['ema21'] and last['rsi'] > 55 and bullish: return { "pair": "EUR/GBP OTC", "signal": "UP 📈", "trade_time": "1 MIN", "confidence": "75%" } elif last['Close'] < last['ema9'] < last['ema21'] and last['rsi'] < 45 and bearish: return { "pair": "EUR/GBP OTC", "signal": "DOWN 📉", "trade_time": "1 MIN", "confidence": "100%" } else: return { "pair": "EUR/GBP OTC", "signal": "WAIT ⏳", "trade_time": "1 MIN", "confidence": "LOW" } @app.route('/') def home(): return jsonify(get_signal()) if __name__ == "__main__": app.run(debug=True)