### Install alpaca-backtrader-api using pip

Source: https://github.com/alpacahq/alpaca-backtrader-api/blob/master/README.md

This command installs the alpaca-backtrader-api library using pip, the Python package installer. Ensure you are using pip3 for Python 3 installations.

```bash
pip3 install alpaca-backtrader-api
```

--------------------------------

### Basic Alpaca trading strategy with backtrader

Source: https://github.com/alpacahq/alpaca-backtrader-api/blob/master/README.md

This Python code demonstrates a simple trading strategy (SmaCross) using the alpaca-backtrader-api library. It configures the Alpaca store with API credentials and paper trading mode, fetches historical data for a stock (AAPL), and runs the strategy within the backtrader framework. The code also prints the initial and final portfolio values.

```python
import alpaca_backtrader_api
import backtrader as bt
from datetime import datetime

ALPACA_API_KEY = <key_id>
ALPACA_SECRET_KEY = <secret_key>
ALPACA_PAPER = True


class SmaCross(bt.SignalStrategy):
  def __init__(self):
    sma1, sma2 = bt.ind.SMA(period=10), bt.ind.SMA(period=30)
    crossover = bt.ind.CrossOver(sma1, sma2)
    self.signal_add(bt.SIGNAL_LONG, crossover)


cerebro = bt.Cerebro()
cerebro.addstrategy(SmaCross)

store = alpaca_backtrader_api.AlpacaStore(
    key_id=ALPACA_API_KEY,
    secret_key=ALPACA_SECRET_KEY,
    paper=ALPACA_PAPER
)

if not ALPACA_PAPER:
  broker = store.getbroker()  # or just alpaca_backtrader_api.AlpacaBroker()
  cerebro.setbroker(broker)

DataFactory = store.getdata  # or use alpaca_backtrader_api.AlpacaData
data0 = DataFactory(dataname='AAPL', historical=True, fromdate=datetime(
    2015, 1, 1), timeframe=bt.TimeFrame.Days)
cerebro.adddata(data0)

print('Starting Portfolio Value: %.2f' % cerebro.broker.getvalue())
cerebro.run()
print('Final Portfolio Value: %.2f' % cerebro.broker.getvalue())
cerebro.plot()
```

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