Technical Indicators from Past Data

Alpaca Market Data
1

I am a paid member using paper trading.

I planned on using the method to retrieve past stock data to calculate the EMAs of various stocks.

So, I ran this function:

def validate_ema9(bar,symbol):
client = StockHistoricalDataClient(api_options.ALPACA_API_KEY,api_options.ALPACA_SECRET_KEY)

bars_request = StockBarsRequest(
    symbol_or_symbols=symbol,
    timeframe=TimeFrame.Minute,
    start=pd.Timestamp.now() - pd.Timedelta(days=20),
    end=pd.Timestamp.now()
)

bars = client.get_stock_bars(bars_request).df

bars['EMA9'] = bars['close'].ewm(span=9, adjust=False).mean()

last_ema9 = bars['EMA9'].iloc[-1]

last_bar_timestamp = bars.index[-1]

print(f"Most recent bar timestamp: {last_bar_timestamp}")

return bar['close'] > last_ema9

The problem is the data is 8 hours old… Is there a better way to get past data?