Calling: search_ticker - query="Nvidia"

Calling: load - start_date="2021-05-30", tickers=["NVDA"], metrics=["total_revenue"] DataFrame 3 OK nvda_fundamentals (101 rows)

Calling: compute - code="df = df_3[df_3['period_type'] == 'quarterly'].sort_values('date')\ndf = df.copy()\ndf['ttm_revenue'] = df.groupby('ticker')['total_revenue'].rolling(window=4).sum().reset_index(0, drop=True)\nresult = df[['date', 'ttm_revenue']].tail(20) # Showing recent 5 years roughly", dataframe_ids=[3] DataFrame 4 OK result_4 (20 rows)

Calling: show - dataframe_id=4 Blob 2 DataFrame 4 OK result_4 (20 rows)