FreelanceKategorien

Steven ddd

MQL5 Experten

Spezifikation

import pandas as pd
import ta

# Example data (replace with your own data or retrieve from a data source)
data = pd.DataFrame({
    'timestamp': ['2023-05-21', '2023-05-22', '2023-05-23', '2023-05-24', '2023-05-25'],
    'close': [1.2000, 1.2100, 1.2200, 1.2300, 1.2400]
})

# Calculate necessary indicators
data['rsi'] = ta.momentum.RSIIndicator(data['close'], window=14).rsi()
data['ema_fast'] = ta.trend.EMAIndicator(data['close'], window=10).ema_indicator()
data['ema_slow'] = ta.trend.EMAIndicator(data['close'], window=20).ema_indicator()

# Detect reversals based on indicator crossovers or other criteria
reversals = []
for i in range(1, len(data)):
    if data['rsi'][i] < 30 and data['ema_fast'][i] > data['ema_slow'][i]:
        reversals.append({'timestamp': data['timestamp'][i], 'type': 'Bullish'})
    elif data['rsi'][i] > 70 and data['ema_fast'][i] < data['ema_slow'][i]:
        reversals.append({'timestamp': data['timestamp'][i], 'type': 'Bearish'})

# Print detected reversals
for reversal in reversals:
    print(f"Reversal detected on {reversal['timestamp']}: {reversal['type']}")













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Projektdetails

Budget
40+ USD
Für die Entwickler
36 USD
Ausführungsfristen
von 1 bis 10 Tag(e)