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a359cc9 1a51130 a359cc9 9703865 d104ba7 5eb07f4 3cba3de bfaebf4 d104ba7 3cba3de bfaebf4 a359cc9 dd89c2f 9703865 c2afca6 1a51130 c2afca6 a359cc9 39e9bad a359cc9 c2afca6 482e901 c2afca6 a359cc9 096bef9 a359cc9 096bef9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | import streamlit as st
import datetime
import time
st.set_page_config(page_title="Inraday_Screener",page_icon="🌍",layout="wide")
from tradingview_screener import Scanner, Query, Column
# Assuming the crosses_below method is defined in a class
class YourClass:
def crosses_below(self, column, other):
return {'left': column.name, 'operation': 'crosses_below', 'right': column._extract_value(other)}
def crosses_above(self, column, other):
return {'left': column.name, 'operation': 'crosses_above', 'right': column._extract_value(other)}
# Create an instance of your class
your_instance = YourClass()
con10, con20 = st.columns(2)
st.success('*_Setup_*')
with con10:
st.write('')
time1 = st.selectbox('*_Time Frame_*', ('1','5','15','30','60','120','240','D','1W','1M'),key=1)
if time1 == 'D':
timevolume = 'volume'
timeADXnegDI = 'ADX-DI'
timeADXposDI = 'ADX+DI'
timeclose = 'close'
else:
timeclose = f'close|{time1}'
timevolume = f'volume|{time}'
timeADXnegDI = f'ADX-DI|{time}'
timeADXposDI = f'ADX+DI|{time}'
with con20:
st.write('')
price_from = st.number_input('*_Price_From_*', min_value=float(1), max_value=float(10000), value=float(100), step=float(5),key=23)
price_to = st.number_input('*_Price_To_*', min_value=float(1), max_value=float(10000), value=float(200), step=float(5),key=2)
def create_link(url:str) -> str:
return f'<a href="https://in.tradingview.com/chart/?symbol={url}">{url}</a>'
if st.button('*_SUBMIT_*'):
# Create a query with the required columns and conditions
df_Bulliesh = (Query().select('Exchange','name',timeclose, timevolume, timeADXnegDI, timeADXposDI).where(your_instance.crosses_below(Column(timeADXnegDI), Column(timeADXposDI)),Column(timeclose).between(price_from, price_to)).order_by(timevolume, ascending=False).limit(10))
df_Beariesh = (Query().select('Exchange','name',timeclose, timevolume, timeADXnegDI, timeADXposDI).where(your_instance.crosses_above(Column(timeADXnegDI), Column(timeADXposDI)),Column(timeclose).between(price_from, price_to)).order_by(timevolume, ascending=False).limit(10))
# Display the result
df_Bulliesh = df_Bulliesh.set_markets('india').get_scanner_data()
df_Bulliesh = df_Bulliesh[1]
df_Bulliesh = df_Bulliesh[df_Bulliesh['exchange'] == 'NSE']
#--------------------------------
df_Beariesh = df_Beariesh.set_markets('india').get_scanner_data()
df_Beariesh = df_Beariesh[1]
df_Beariesh = df_Beariesh[df_Beariesh['exchange'] == 'NSE']
df_Beariesh['🔗 Link'] = [create_link(url) for url in df_Beariesh["ticker"]]
df_Bulliesh['🔗 Link'] = [create_link(url) for url in df_Bulliesh["ticker"]]
st.success('*_Bulliesh_*')
#st.table(df_Bulliesh)
st.write(df_Bulliesh.to_html(escape=False, index=False), unsafe_allow_html=True)
st.error('*_Beariesh_*')
#st.table(df_Beariesh)
st.write(df_Beariesh.to_html(escape=False, index=False), unsafe_allow_html=True) |