#!/usr/bin/env python
# coding: utf-8

# # Imports

# In[ ]:


get_ipython().system('pip install --upgrade pyalgotrading')


# In[1]:


from pyalgotrading.algobulls import AlgoBullsConnection


# # Connection

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connection = AlgoBullsConnection()


# In[3]:


connection.get_token_url()


# In[4]:


API_TOKEN = "0a3f547761154cd89b5616aa3f34603e9902d002"
connection.set_access_token(API_TOKEN)


# #### NOTE: Before creating or executing the strategy, ensure your Alpaca account is binded with your AlgoBulls account (as shown below). To know more click [here](https://algobulls.github.io/pyalgotrading/brokers/connecting_alpaca/).![Reference](https://algobulls.github.io/pyalgotrading/python_build/imgs_v2/python_build_Oauth_successful.png)

# # Strategy Creation

# ## Import Strategy from pyalgostrategypool

# In[5]:


get_ipython().system(' wget -O aroon_crossover_us.py https://raw.githubusercontent.com/algobulls/pyalgostrategypool/master/pyalgostrategypool/aroon_crossover/_strategy.py')
get_ipython().system(" sed -i '1s/^/from pyalgotrading.strategy import StrategyBase\\n/' aroon_crossover_us.py")


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from aroon_crossover_us import AroonCrossover as strategy_cls


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response = connection.create_strategy(strategy_cls, overwrite=True)
response


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strategy = response['strategyId']


# # Strategy Testing

# ## Instruments Searching (optional)

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instrument = connection.search_instrument('AAPL', exchange='NASDAQ')[0]['value']
instrument


# ## Setup Parameters

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parameters = {
  'TIME_PERIOD': 12
}


# In[11]:


initial_virtual_funds = 4000     # in dollars


# ## Backtesting

# #### NOTE: Ensure your Alpaca account is binded with your AlgoBulls account (as shown below). To know more click [here](https://algobulls.github.io/pyalgotrading/brokers/connecting_alpaca/).

# ### Start

# In[12]:


connection.backtest(
    strategy=strategy, 
    start='2021-08-01 09:15 -0400', 
    end='2023-07-31 15:30 -0400', 
    instrument='NASDAQ:AAPL', 
    lots=5,
    parameters=parameters, 
    candle='1 hour',
    initial_funds_virtual=initial_virtual_funds
)


# ### Status

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connection.get_backtesting_job_status(strategy)


# ### Logs

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logs = connection.get_backtesting_logs(strategy)


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print(logs)


# ### Stop

# In[16]:


connection.stop_backtesting_job(strategy)


# ## Profit and Loss Reports

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pnl_reports = connection.get_backtesting_report_pnl_table(strategy)
pnl_reports


# ## Statistics Reports

# ### Statistics

# In[18]:


connection.get_backtesting_report_statistics(strategy)


# ### Quantstats Full Report

# In[19]:


connection.get_backtesting_report_statistics(strategy, report='full', html_dump=True)


# ## Order History

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order_history = connection.get_backtesting_report_order_history(strategy)
print(order_history)


# ## Papertrading

# #### NOTE: Ensure your Alpaca account is binded with your AlgoBulls account (as shown below). To know more click [here](https://algobulls.github.io/pyalgotrading/brokers/connecting_alpaca/).

# ### Start

# In[ ]:


connection.papertrade(
    strategy=strategy, 
    start='9:15 -0400', 
    end='15:00 -0400',  
    instruments='NASDAQ:AAPL', 
    lots=5,
    parameters=parameters, 
    candle='1 minute'
)


# ### Status

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connection.get_papertrading_job_status(strategy)


# ### Logs

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logs = connection.get_papertrading_logs(strategy)
print(logs)


# ### Stop

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connection.stop_papertrading_job(strategy)


# ### Profit and Loss Reports (Paper Trading)

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pnl_reports = connection.get_papertrading_report_pnl_table(strategy)
pnl_reports


# ### Statistics Reports (Paper Trading)

# #### Statistics

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connection.get_papertrading_report_statistics(strategy)


# #### Quantstats Full Report

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connection.get_papertrading_report_statistics(strategy, mode='quantstats', report='full', html_dump=True)


# ### Order History (Papertrading)

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order_history = connection.get_papertrading_report_order_history(strategy)
print(order_history)


# ## Live Trading (Real Trading)

# #### NOTE: Ensure your Alpaca account is binded with your AlgoBulls account (as shown below). To know more click [here](https://algobulls.github.io/pyalgotrading/brokers/connecting_alpaca/).

# ### Start

# In[ ]:


broking_details = {
    'brokerName': 'ALPACA LIVE',
    'credentialParameters': {}
}


# In[ ]:


connection.realtrade(
    strategy=strategy, 
    start='9:00 -0400', 
    end='15:00 -0400', 
    instruments='NASDAQ:AAPL', 
    lots=5,
    parameters=parameters, 
    candle='1 minute',
    broking_details=broking_details
)


# ### Status

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connection.get_realtrading_job_status(strategy)


# ### Logs

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logs = connection.get_realtrading_logs(strategy, display_logs_in_auto_update_mode=False)
print(logs)


# ### Stop

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connection.stop_realtrading_job(strategy)


# ### Profit and Loss Reports (Live Trading)

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pnl_reports = connection.get_realtrading_report_pnl_table(strategy)
pnl_reports


# ### Statistics Reports (Live Trading)

# #### Statistics

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connection.get_realtrading_report_statistics(strategy)


# #### Quantstats Full Report

# In[ ]:


connection.get_realtrading_report_statistics(strategy, mode='quantstats', report='full', html_dump=True)