shner-elmo/tradingview-screener

A package that lets you create TradingView screeners in Python

tradingview-screener's Issues

Query to extract all the financials of a ticker

Any query to extract all the financials for a set ticker?

Financials as provided on this link. https://www.tradingview.com/symbols/NASDAQ-AAPL/financials-overview/

Column('Change (1,5, etc)m, %') always returns an error when using .get_scanner_data()

I was testing with the scanner and can't seem to get get passed this error. It seems to be occurring for all the 'Change xm, %'s.

Error:
Exception has occurred: HTTPError 400 Client Error: Bad Request Body: {"totalCount":0,"error":"Unknown field \"change.5\"","data":null} for url: https://scanner.tradingview.com/america/scan File "N:\StockTrading\Live\StockScreener\StockScreener.py", line 20, in <module> .get_scanner_data()) requests.exceptions.HTTPError: 400 Client Error: Bad Request Body: {"totalCount":0,"error":"Unknown field \"change.5\"","data":null} for url: https://scanner.tradingview.com/america/scan

Full code:

from tradingview_screener import Scanner, Query, Column

_, scalpers = (Query()
 .select('name')
 .where(
     Column('Relative Volume') > 1.5,
     Column('relative_volume_10d_calc') > 1.5,
     Column('Change %') >= 8,
 )
 .get_scanner_data())

breakouts = (Query()
 .select('name')
 .where(
     Column('Relative Volume') > 3,
     Column('relative_volume_10d_calc') > 3,
     Column('Relative Volume at Time') > 3,
     Column('Change 5m, %') >= 5
 )
 .get_scanner_data())
#
#_, breakouts = breakouts  # Unpack the tuple to ignore the count and get the DataFrame
## Extract the 'name' column
#tickers = tickers.extend(breakouts['name'].tolist())

print(scalpers['name'].tolist())

Ticker to extract the historical eps & revenue and forecast eps & revenue

Query to extract the historical eps & revenue and forecast eps & revenue for the set ticker?

Just like this graph on https://www.tradingview.com/symbols/NASDAQ-AAPL/forecast/

Possibility to get the data from other market?

I really appreciate the great work from you. Thanks a lot.

Just one question, is it possible to get other market data (e.g., German market) through this API?

Can I get the Analyst rating data by this project?

I want to select the symbol is in strong buy rating

Selected column is not appearing in the DataFrame

Hello Shneor,

Thank you very much for your reply. Much appreciated.

i am running a query which allows me to extract one of the fields I am interested in, 'Revenue (Quarterly QoQ Growth'. I believe it is held in a JSON but could be wrong on this. I am trying to understand how I can place the output from this query into a dataframe? From there I can then manipulate the data, plot it and so on.

Thank you very much,

Stephen

Scanner does not return data but Website does

I observed that not always data gets returned.
_, df = Query().select('name', 'close', 'earnings_release_date',, 'earnings_release_next_date').get_scanner_data()

On 07. Feb 2024 for eaxmple for CRUS:
df[df.name == 'CRUS'][['name', 'close', 'earnings_release_date', 'earnings_release_next_date']]
Empty DataFrame
Columns: [name, close, earnings_release_date, earnings_release_next_date]
Index: []

but on TradingView Earnings View/Screener page they are listed for today after Market

Why is this? Anything else required to retrieve the data?

cannot import name 'NotRequired' from 'typing'

Hi,
I have the error - cannot import name 'NotRequired' from 'typing'

Relative volume query change

Hello It seems like the 'Relative Volume': 'relative_volume_10d_calc' no longer works. It seems like the general 10 day relative volume has been changed to custom values.

cannot import name 'Screener' from 'tradingview_screener'

I'm trying to run my python script, even on Replit i get everytime
"Traceback (most recent call last):
File "C:\xxx\tradinview\index.py", line 1, in
from tradingview_screener import Screener
ImportError: cannot import name 'Screener' from 'tradingview_screener'"

Query to filter with "above of below %"

Hi, the new v2 screener of Trading view allows to have filters like this: "Price above New Low 52 Weeks by 100% or more"

I try to implement this filter with the Query() I add a multiplier (*2) at the end of Column('price_52_week_low'):

(Query()
.select('name', 'close', 'price_52_week_low')
.where(
Column('close') >= (Column('price_52_week_low')*2 ) ,
)
.get_scanner_data())

but get this error:

Traceback (most recent call last):
File "", line 4, in
TypeError: unsupported operand type(s) for +: 'int' and 'Column'

Is there any other way to implement this kind of filters using the "above of below %"?

Thank you

Comparing current close price with previous days

It would be helpful to allow the query to compare current price to previous price. For example, if we want to create a scanner that can identify stocks that had 3 down days, and today's low is lower than yesterday's low and current price is higher than yesterday's low.

Retrieve the next earnings date for a ticker but did receive a float not a date

My idea was to retrieve the next earnings date for a ticker so I checked your code and I think I found the corresponding column to use.
So I tried the customer screener with this query:

Python code used:
tmp = (Query()
.select('name', 'earnings_release_date','Recent Earnings Date','earnings_release_next_date')
.get_scanner_data())
df = tmp[1]
df[df.name == 'PFE']['earnings_release_next_date']

but getting floats instead of dates:

  ticker name  earnings_release_date  earnings_release_date earnings_release_next_date

48 NYSE:PFE PFE 1.706615e+09 1.706615e+09 1.714478e+09

Can you please help/fix?