import requests

import pandas as pd

import matplotlib.pyplot as plt

import mplfinance as mpf



# Replace these with your ICICI Breeze API credentials

api_key = 'your_api_key'

api_url = 'https://api.icicibreeze.com/v1/market-data' # Example URL



# Function to fetch 3-minute candlestick data

def fetch_candlestick_data(symbol, interval='3min'):

 headers = {

 'Authorization': f'Bearer {api_key}',

 'Content-Type': 'application/json'

 }

 params = {

 'symbol': symbol,

 'interval': interval,

 'outputsize': 'compact' # Adjust based on API capabilities

 }

 response = requests.get(api_url, headers=headers, params=params)

 data = response.json()

 return data



# Fetching data for a specific symbol

symbol = 'ICICI'

interval = '3min'

data = fetch_candlestick_data(symbol, interval)



# Convert the fetched data into a DataFrame

# Example structure - Modify based on the actual data structure returned by ICICI Breeze API

df = pd.DataFrame(data['candles'], columns=['timestamp', 'open', 'high', 'low', 'close', 'volume'])

df['timestamp'] = pd.to_datetime(df['timestamp'])

df.set_index('timestamp', inplace=True)



# Plotting the candlestick chart

mpf.plot(df, type='candle', style='charles', title=f'{symbol} 3-Minute Candlestick', ylabel='Price')



plt.show()