Analysis & Holdings#

Analysis#

get_recommendations([proxy, as_dict])

Returns a DataFrame with the recommendations Columns: period strongBuy buy hold sell strongSell

recommendations

get_recommendations_summary([proxy, as_dict])

recommendations_summary

get_upgrades_downgrades([proxy, as_dict])

Returns a DataFrame with the recommendations changes (upgrades/downgrades) Index: date of grade Columns: firm toGrade fromGrade action

upgrades_downgrades

get_sustainability([proxy, as_dict])

sustainability

get_analyst_price_targets([proxy])

Keys: current low high mean median

analyst_price_targets

get_earnings_estimate([proxy, as_dict])

Index: 0q +1q 0y +1y Columns: numberOfAnalysts avg low high yearAgoEps growth

earnings_estimate

get_revenue_estimate([proxy, as_dict])

Index: 0q +1q 0y +1y Columns: numberOfAnalysts avg low high yearAgoRevenue growth

revenue_estimate

get_earnings_history([proxy, as_dict])

Index: pd.DatetimeIndex Columns: epsEstimate epsActual epsDifference surprisePercent

earnings_history

get_eps_trend([proxy, as_dict])

Index: 0q +1q 0y +1y Columns: current 7daysAgo 30daysAgo 60daysAgo 90daysAgo

eps_trend

get_eps_revisions([proxy, as_dict])

Index: 0q +1q 0y +1y Columns: upLast7days upLast30days downLast7days downLast30days

eps_revisions

get_growth_estimates([proxy, as_dict])

Index: 0q +1q 0y +1y +5y -5y Columns: stock industry sector index

growth_estimates

Holdings#