75 lines
1.9 KiB
Python
75 lines
1.9 KiB
Python
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from alpaca.data.live import StockDataStream, CryptoDataStream
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from alpaca.trading.stream import TradingStream
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from alpaca.data.enums import DataFeed
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from config import API_KEY, SECRET_KEY, MAX_BATCH_SIZE
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from datetime import datetime
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import mplfinance as mpf
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import matplotlib.pyplot as plt
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import threading
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# pripadne parametry pro request
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# parametry = {
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# "brand": "Ford",
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# "model": "Mustang",
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# "year": 1964
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# }
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parametry = {}
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i = 0
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u = 0
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async def data_handler1(data):
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print("HANDLER1")
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global i
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i += 1
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print(data)
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async def data_handler2(data):
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print("HANDLER2")
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global u
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u += 1
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print(data)
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async def data_handler3(data):
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print("HANDLER3")
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global u
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u += 1
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print(data)
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# plt.ion()
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# def animate(ival):
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# # PREPARE DATAFRAME WITH OHLC AND "BUYS" AND "SELLS" HERE
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# apds = [mpf.make_addplot(buys, color='tab:green', ax=ax_buys),
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# mpf.make_addplot(sells, color='tab:red', ax=ax_sells)]
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# for ax in axes:
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# ax.clear()
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# mpf.plot(df_ohlc, type='candle', addplot=apds, ax=ax_main)
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# print('a')
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#client = CryptoDataStream(API_KEY, SECRET_KEY, raw_data=True, websocket_params=parametry)
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client1 = TradingStream(API_KEY, SECRET_KEY, paper=True)
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client1.subscribe_trade_updates(data_handler1)
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t1 = threading.Thread(target=client1.run)
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t1.start()
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print("started1")
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client2 = TradingStream(API_KEY, SECRET_KEY, paper=True)
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client2.subscribe_trade_updates(data_handler2)
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t2 = threading.Thread(target=client2.run)
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t2.start()
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client3 = TradingStream(API_KEY, SECRET_KEY, paper=True)
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client3.subscribe_trade_updates(data_handler3)
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t3 = threading.Thread(target=client3.run)
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t3.start()
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print("started2")
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print(threading.enumerate())
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t2.join()
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t1.join()
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t3.join()
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# client.subscribe_trades(data_handler, "BTC/USD")
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# #client.subscribe_quotes(data_handler_ETH, "ETH/USD")
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# print("pred spustenim runu")
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# client.run()
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# print("po spusteni runu - muzu neco delat?")
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