@Tradehull_Imran Hello sir, Need you thoughts on this.
Strategy
Uptrend :
Time frame 5 mins
Price is above VWAP
Price is above 20 EMA
RSI is equal to or grater than 60
Downtrend
Time frame 5 mins
Price is blow VWAP
Price is below 20 EMA
RSI is equal to or less than 40
Buy condition
If all the above condition met and price reject from 20 EMA buy
Load your data into a DataFrame
Ensure your DataFrame has columns: [‘timestamp’, ‘open’, ‘high’, ‘low’, ‘close’, ‘volume’]
df = pd.read_csv(‘your_data.csv’, parse_dates=[‘timestamp’])
Calculate indicators
df[‘VWAP’] = ta.volume.volume_weighted_average_price(df[‘high’], df[‘low’], df[‘close’], df[‘volume’])
df[‘EMA20’] = ta.trend.ema_indicator(df[‘close’], window=20)
df[‘RSI’] = ta.momentum.rsi(df[‘close’], window=14)
Define conditions
uptrend = (df[‘close’] > df[‘VWAP’]) & (df[‘close’] > df[‘EMA20’]) & (df[‘RSI’] >= 60)
downtrend = (df[‘close’] < df[‘VWAP’]) & (df[‘close’] < df[‘EMA20’]) & (df[‘RSI’] <= 40)
Implement buy conditions for Call (CE) and Put (PE) options
df[‘Buy_CE’] = uptrend & (df[‘low’] < df[‘EMA20’]) & (df[‘close’] > df[‘EMA20’])
df[‘Buy_PE’] = downtrend & (df[‘high’] > df[‘EMA20’]) & (df[‘close’] < df[‘EMA20’])
Results
print(“Call Buy Signals (CE):”)
print(df[df[‘Buy_CE’]])
print(“\nPut Buy Signals (PE):”)
print(df[df[‘Buy_PE’]])
