# coding=utf-8
import datetime as dt

from configuration import test_me

# Import these for User's convenience
from data_provider_factory.data_loading_plan import HistIngestionPlan, Plan
from IBridgePy.IbridgepyTools import symbol, superSymbol

# Related YouTube tutorials about IBridgePy backtester
# Build “Buy low Sell high” strategy by Machine learning https://youtu.be/hNCwNxeXrwA
# Detailed explanation about “Buy low Sell high” strategy https://youtu.be/PI5dhqCAuvA
# Calculate Sharpe Ratio https://youtu.be/4xTHdzAMhcI
# Backtest without hist ingestion https://youtu.be/bwmx5hiSPV4
# Backtest with hist ingestion https://youtu.be/XnpxAVU4ogY
# Backtest with hist from local files https://youtu.be/UR_7_F8wPL0
# Speed up backtest by designating spot times https://youtu.be/bVE59nZ02ig
# Convert hist data format https://youtu.be/hYL6SYgy7wE
# Backtest using IBridgePy data center https://youtu.be/0FPgtmUpTI0
fileName = 'demo_buy_low_sell_high.py'

accountCode = 'DU1868499'  # IB accountCode is needed to retrieve historical data from IB server.
dataProviderName = 'IB'  # RANDOM, IB, LOCAL_FILE, TD, ROBINHOOD, IBRIDGEPY

####
# The backtesting time period is defined by two variables: endTime and startTime, default timezone = 'US/Eastern'
# Refer to this YouTube tutorial about IBridgePy Backtester: https://youtu.be/bwmx5hiSPV4
####

# As a demo, endTime is the current time.
# IBridgePy automatically sets endTime.second to 0 because the default mode of IBridgePy backtester is designed to
# backtest strategies minutely and the second must be zero.
endTime = dt.datetime.now()

# As a demo, startTime is 10 days ago from the current time.
startTime = endTime - dt.timedelta(days=10)

test_me(fileName, globals())