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testy/archive/alpacapyexampleshistorical.py

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+# 2 clients for historical data StockHistoricalDataClient (needs keys), CryptoHistoricalDataClient
+# 2 clients for real time data CryptoDataStream, StockDataStream
+
+
+# naimportuju si daneho clienta
+from alpaca.data.historical import StockHistoricalDataClient, CryptoHistoricalDataClient
+
+#pokdu pouzivam historicke data(tzn. REST) tak si naimportuju dany request object
+from alpaca.data.requests import StockLatestQuoteRequest, StockBarsRequest, StockTradesRequest
+
+#objekty se kterymi pak pracuju (jsou soucasi package výše, tady jen informačně)
+from alpaca.data import Quote, Trade, Snapshot, Bar
+from alpaca.data.models import BarSet, QuoteSet, TradeSet
+
+
+from config import API_KEY, SECRET_KEY
+from datetime import datetime, timedelta
+import pandas as pd
+import rich
+
+# vytvorim si clienta
+stock_client = StockHistoricalDataClient(API_KEY, SECRET_KEY, raw_data=True)
+crypto_client = CryptoHistoricalDataClient()
+
+time_from = datetime(2023, 2, 17, 14, 30, 0, 0)
+time_to = datetime(2023, 2, 17, 14, 30, 1, 0)
+#print(time_from)
+
+# vytvorim request objekt
+#latestQuoteRequest = StockLatestQuoteRequest(symbol_or_symbols=["SPY", "GLD", "TLT"])
+stockTradeRequest = StockTradesRequest(symbol_or_symbols=["BAC","C","MSFT"], start=time_from,end=time_to)
+
+#zavolam na clientovi metodu s request objektem, vrací se mi Dict[str, Quote] - obj.Quote pro kazdy symbol
+#latestQuoteObject = stock_client.get_stock_latest_quote(latestQuoteRequest)
+tradesResponse = stock_client.get_stock_trades(stockTradeRequest)
+print(tradesResponse)
+
+for i in tradesResponse['BAC']:
+    print(i)
+
+# vrací m to tradeset dict = Trades identifikovane symbolem
+
+#for 
+
+#access as a list
+#print(tradesResponse["BAC"])
+
+# The scope of these changes made to
+# pandas settings are local to with statement.
+# with pd.option_context('display.max_rows', None,
+#                        'display.max_columns', None,
+#                        'display.precision', 3,
+#                        ):
+#     #convert to dataframe
+#     print(tradesResponse.df)
+
+# this is the Quote object for 
+#bacquote=latestQuoteObject["SPY"]
+
+# print(bacquote)
+#vrati se mi objekt typu LatestQuote
+# print(type(latestQuoteObject))
+
+# print(latestQuoteObject)
+#gld_latest_ask_price = latestQuoteObject["GLD"].ask_price
+#print(gld_latest_ask_price, latestQuoteObject["GLD"].timestamp)