import btgsolutions_dataservices as btg
ws = btg.MarketDataWebSocketClient(api_key='YOUR_API_KEY', data_type='books', instruments=['PETR4', 'VALE3'])
ws.run(on_message=lambda message: print(message))

## The following is optional to keep the program running in a .py file:
# from time import sleep
# while True:
#   sleep(1)

## Another examples
# ws.available_to_subscribe()

import btgsolutions_dataservices as btg
ws = btg.MarketDataWebSocketClient(api_key='YOUR_API_KEY', data_type='trades', stream_type='delayed', instruments=['PETR4', 'VALE3'])
ws.run(on_message=lambda message: print(message))

## The following is optional to keep the program running in a .py file:
# from time import sleep
# while True:
#   sleep(1)

## Another examples
# ws.available_to_subscribe()

import btgsolutions_dataservices as btg
ws = btg.MarketDataWebSocketClient(api_key='YOUR_API_KEY', data_type='trades', stream_type='throttle', instruments=['PETR4', 'VALE3'])
ws.run(on_message=lambda message: print(message))

## The following is optional to keep the program running in a .py file:
# from time import sleep
# while True:
#   sleep(1)

## Another examples
# ws.available_to_subscribe()

import btgsolutions_dataservices as btg
ws = btg.MarketDataWebSocketClient(api_key='YOUR_API_KEY', data_type='securities', data_subtype='derivatives')
ws.run(on_message=lambda message: print(message))

## The following is optional to keep the program running in a .py file:
# from time import sleep
# while True:
#   sleep(1)

import btgsolutions_dataservices as btg
ws = btg.MarketDataWebSocketClient(api_key='YOUR_API_KEY', data_type='candles-1S', stream_type='realtime')
ws.run(on_message=lambda message: print(message))
ws.candle_subscribe(list_instruments=['PETR4','VALE3'], candle_type='partial')

## The following is optional to keep the program running in a .py file:
# from time import sleep
# while True:
#   sleep(1)

## Another examples
# ws.candle_subscribe(list_instruments=['PRIO3'], candle_type='closed')
# ws.candle_subscribe(list_instruments=['WEGE3'], candle_type='all')
# ws.candle_unsubscribe(list_instruments=['PRIO3', 'PETR4'], candle_type='all')

import btgsolutions_dataservices as btg
ws = btg.MarketDataWebSocketClient(api_key='YOUR_API_KEY', exchange='bmv', data_type='trades')
ws.run(on_message=lambda message: print(message))

## The following is optional to keep the program running in a .py file:
# from time import sleep
# while True:
#   sleep(1)

import btgsolutions_dataservices as btg
ws = btg.MarketDataWebSocketClient(api_key='YOUR_API_KEY', data_type='books', instruments=['PETR4', 'VALE3'])
ws.run(on_message=lambda message: print(message), spawn_thread=False)

## The following is optional to keep the program running in a .py file:
# from time import sleep
# while True:
#   sleep(1)

## Another examples
# ws.available_to_subscribe()

import btgsolutions_dataservices as btg
ws = btg.HFNWebSocketClient(api_key='YOUR_API_KEY', country='brazil')
ws.run(on_message=lambda message: print(message))

## The following is optional to keep the program running in a .py file:
# from time import sleep
# while True:
#   sleep(1)

import btgsolutions_dataservices as btg
int_candles = btg.IntradayCandles(api_key='YOUR_API_KEY')
int_candles.get_intraday_candles(market_type='stocks', tickers=['PETR4', 'VALE3'], candle_period='1m', mode='relative', raw_data=True)

import btgsolutions_dataservices as btg
hist_candles = btg.HistoricalCandles(api_key='YOUR_API_KEY')
hist_candles.get_interday_history_candles(ticker='PETR4',  market_type='stocks', corporate_events_adj=True, start_date='2023-10-01', end_date='2023-10-13', rmv_after_market=True, timezone='UTC', raw_data=False)

import btgsolutions_dataservices as btg
hist_candles = btg.HistoricalCandles(api_key='YOUR_API_KEY')
hist_candles.get_intraday_history_candles(ticker='PETR4',  market_type='stocks', corporate_events_adj=True, date='2023-10-06', candle='1m', rmv_after_market=True, timezone='UTC', raw_data=False)

import btgsolutions_dataservices as btg
hist_candles = btg.HistoricalCandles(api_key='YOUR_API_KEY')
hist_candles.get_intraday_history_candles(ticker='PETR4',  market_type='stocks', corporate_events_adj=True, date='2023-10-06', candle='1m', rmv_after_market=True, timezone='UTC', raw_data=False).plot(x='candle_time', y='close_price', kind='scatter')

import btgsolutions_dataservices as btg
quotes = btg.Quotes(api_key='YOUR_API_KEY')
quotes.get_quote(market_type = 'stocks', tickers = ['PETR4', 'VALE3'])

import btgsolutions_dataservices as btg
last_event = btg.TickerLastEvent(api_key='YOUR_API_KEY')
last_event.get_trades(data_type='equities', ticker='VALE3')

import btgsolutions_dataservices as btg
bulk_data = btg.BulkData(api_key='YOUR_API_KEY')
bulk_data.get_available_tickers(date='2023-07-03', data_type='trades', prefix='PETR')

import btgsolutions_dataservices as btg
bulk_data = btg.BulkData(api_key='YOUR_API_KEY')
bulk_data.get_data(ticker='PETR4', date='2023-07-03', data_type='trades')
# bulk_data.get_data(ticker='PETR4', date='2024-01-22', data_type='book-events')
# bulk_data.get_data(ticker='VALE3', date='2024-04-01', data_type='trades-and-book-events')

import btgsolutions_dataservices as btg
bulk_data = btg.BulkData(api_key='YOUR_API_KEY')
bulk_data.get_market_data_channels(date='2024-01-03')

import btgsolutions_dataservices as btg
bulk_data = btg.BulkData(api_key='YOUR_API_KEY')
bulk_data.get_compressed_data(channel='001', date='2024-01-03', data_type='instruments')
# bulk_data.get_compressed_data(channel='053', date='2024-01-03', data_type='incremental')
# bulk_data.get_compressed_data(channel='051', date='2024-01-03', data_type='snapshot')

import btgsolutions_dataservices as btg
intra_tickdata = btg.IntradayTickData(api_key='YOUR_API_KEY')
intra_tickdata.get_trades(ticker='PETR4')

import btgsolutions_dataservices as btg
hfn = btg.HighFrequencyNews(api_key='YOUR_API_KEY')
hfn.latest_news()