Most Active
Returns the most active stocks for the day. This includes the symbol, the name, the price, the change and the change percentage.
Returns: pd.DataFrame: A dataframe with the most active stocks for the day.
Most Active in Python
get_most_active_stocks is part of the Discovery module of the open-source Finance Toolkit. Install it with:
pip install financetoolkit -U
Then call get_most_active_stocks as shown below.
from financetoolkit import Discovery
discovery = Discovery(api_key="FINANCIAL_MODELING_PREP_KEY")
most_active_stocks = discovery.get_most_active_stocks()
most_active_stocks.head(10)
Which returns:
| Symbol | Name | Change | Price | Change % |
|---|---|---|---|---|
| AAPL | Apple Inc. | -1.05 | 192.53 | -0.5424 |
| ADTX | Aditxt, Inc. | 1.81 | 6.63 | 37.5519 |
| AMD | Advanced Micro Devices, Inc. | -1.35 | 147.41 | -0.9075 |
| AMZN | Amazon.com, Inc. | -1.44 | 151.94 | -0.9388 |
| BAC | Bank of America Corporation | -0.21 | 33.67 | -0.6198 |
| BITF | Bitfarms Ltd. | -0.41 | 2.91 | -12.3494 |
| BITO | ProShares Bitcoin Strategy ETF | -0.33 | 20.49 | -1.585 |
| CAN | Canaan Inc. | -0.5 | 2.31 | -17.7936 |
| CLSK | CleanSpark, Inc. | -2.08 | 11.03 | -15.8657 |
| DISH | DISH Network Corporation | 0.11 | 5.77 | 1.9435 |