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testy/archive/alpacaGetHistoryBars.py

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+from alpaca.data.historical import CryptoHistoricalDataClient, StockHistoricalDataClient
+from alpaca.data.requests import CryptoLatestTradeRequest, StockLatestTradeRequest, StockLatestBarRequest, StockTradesRequest, StockBarsRequest
+from alpaca.data.enums import DataFeed
+from config import API_KEY, SECRET_KEY, MAX_BATCH_SIZE
+import datetime
+import time
+from alpaca.data import Quote, Trade, Snapshot, Bar
+from alpaca.data.models import BarSet, QuoteSet, TradeSet
+from alpaca.data.timeframe import TimeFrame
+import mplfinance as mpf
+import pandas as pd
+
+parametry = {}
+
+# no keys required
+#client = CryptoHistoricalDataClient()
+client = StockHistoricalDataClient(API_KEY, SECRET_KEY, raw_data=False)
+datetime_object_from = datetime.datetime(2023, 2, 27, 18, 51, 38, tzinfo=datetime.timezone.utc)
+datetime_object_to = datetime.datetime(2023, 2, 27, 21, 51, 39, tzinfo=datetime.timezone.utc)
+bar_request = StockBarsRequest(symbol_or_symbols="BAC",timeframe=TimeFrame.Hour, start=datetime_object_from, end=datetime_object_to, feed=DataFeed.SIP)
+
+bars = client.get_stock_bars(bar_request).df
+#bars = bars.drop(['symbol'])
+
+#print(bars.df.close)
+bars = bars.tz_convert('America/New_York')
+print(bars)
+print(bars.df.columns)
+#Index(['open', 'high', 'low', 'close', 'volume', 'trade_count', 'vwap'], dtype='object')
+bars.df.set_index('timestamp', inplace=True)
+
+mpf.plot(bars.df, # the dataframe containing the OHLC (Open, High, Low and Close) data
+         type='candle', # use candlesticks 
+         volume=True, # also show the volume
+         mav=(3,6,9), # use three different moving averages
+         figratio=(3,1), # set the ratio of the figure
+         style='yahoo',  # choose the yahoo style
+         title='Prvni chart');
+
+# #vrací se list od dict
+# print(bars["BAC"])
+
+# # k nemu muzeme pristupovat s 
+# dict = bars["BAC"]
+# print(type(dict))
+# print(dict[2].timestamp)
+
+# print(dict[2].close)
+
+# print(dict[].close)
+
+