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| import streamlit as st | |
| import plotly.express as px | |
| import yfinance as yf | |
| import pandas as pd | |
| dfl1 = pd.read_csv(r'https://github.com/H8-Assignments-Bay/p2---final-project-ftds-016-rmt-group-002/raw/main/Dataset_clean/High%20Clean/Manulife%20Dana%20Saham%20Kelas%20A%20Clean.csv') | |
| dfl2 = pd.read_csv(r'https://github.com/H8-Assignments-Bay/p2---final-project-ftds-016-rmt-group-002/raw/main/Dataset_clean/High%20Clean/Batavia%20Dana%20Saham%20Clean.csv') | |
| dfl3 = pd.read_csv(r'https://github.com/H8-Assignments-Bay/p2---final-project-ftds-016-rmt-group-002/raw/main/Dataset_clean/High%20Clean/Sucroinvest%20Equity%20Fund%20Clean.csv') | |
| dfl4 = pd.read_csv(r'https://github.com/H8-Assignments-Bay/p2---final-project-ftds-016-rmt-group-002/raw/main/Dataset_clean/High%20Clean/Manulife%20Saham%20Andalan%20Clean.csv') | |
| dfl5 = pd.read_csv(r'https://github.com/H8-Assignments-Bay/p2---final-project-ftds-016-rmt-group-002/raw/main/Dataset_clean/High%20Clean/BNI-AM%20Indeks%20IDX30%20Clean.csv') | |
| dfl6 = pd.read_csv(r'https://github.com/H8-Assignments-Bay/p2---final-project-ftds-016-rmt-group-002/raw/main/Dataset_clean/High%20Clean/BNI-AM%20Inspiring%20Equity%20Fund%20Clean.csv') | |
| dfl7 = pd.read_csv(r'https://github.com/H8-Assignments-Bay/p2---final-project-ftds-016-rmt-group-002/raw/main/Dataset_clean/High%20Clean/Simas%20Saham%20Unggulan%20Clean.csv') | |
| dfl8 = pd.read_csv(r'https://github.com/H8-Assignments-Bay/p2---final-project-ftds-016-rmt-group-002/raw/main/Dataset_clean/High%20Clean/Schroder%2090%20Plus%20Equity%20Fund%20Clean.csv') | |
| dfl9 = pd.read_csv(r'https://github.com/H8-Assignments-Bay/p2---final-project-ftds-016-rmt-group-002/raw/main/Dataset_clean/High%20Clean/Sucroinvest%20Sharia%20Equity%20Fund%20Clean.csv') | |
| dfl10 = pd.read_csv(r'https://github.com/H8-Assignments-Bay/p2---final-project-ftds-016-rmt-group-002/raw/main/Dataset_clean/High%20Clean/DanaReksa%20Mawah%20Konsumer%2010%20Kelas%20A%20Clean.csv') | |
| def run(): | |
| def user_input_low(): | |
| low_symbol = st.sidebar.selectbox('Mutual Funds', ('Manulife dana saham kelas A', | |
| 'Batavia Dana Saham', | |
| 'Sucorinvest equity fund', | |
| 'Manulife Saham Andalan', | |
| 'BNI-AM Indeks IDX30', | |
| 'BNI-AM Dana Saham Inspiring Equity Fund', | |
| 'Simas Saham Unggulan', | |
| 'Schroder 90 Plus Equity Fund', | |
| 'Sucorinvest Sharia Equity Fund', | |
| 'Danareksa Mawar Konsumer 10 Kelas A')) | |
| tickerData = yf.Ticker(low_symbol+'.JK') | |
| return low_symbol | |
| low_symbol = user_input_low() | |
| if low_symbol == 'Manulife dana saham kelas A' : | |
| dfl1['value'] = dfl1['value'].astype(float) | |
| dfl1['date']=pd.to_datetime(dfl1['date']) | |
| fig = px.line(dfl1, x="date", y="value") | |
| fig.update_traces(textposition="bottom right") | |
| st.plotly_chart(fig) | |
| st.markdown('---') | |
| if low_symbol == 'Batavia Dana Saham' : | |
| dfl2['value'] = dfl2['value'].astype(float) | |
| dfl2['date']=pd.to_datetime(dfl2['date']) | |
| fig = px.line(dfl2, x="date", y="value") | |
| fig.update_traces(textposition="bottom right") | |
| st.plotly_chart(fig) | |
| st.markdown('---') | |
| elif low_symbol == 'Sucorinvest equity fund' : | |
| dfl3['value'] = dfl3['value'].astype(float) | |
| dfl3['date']=pd.to_datetime(dfl3['date']) | |
| fig = px.line(dfl3, x="date", y="value") | |
| fig.update_traces(textposition="bottom right") | |
| st.plotly_chart(fig) | |
| st.markdown('---') | |
| elif low_symbol == 'Manulife Saham Andalan' : | |
| dfl4['value'] = dfl4['value'].astype(float) | |
| dfl4['date']=pd.to_datetime(dfl4['date']) | |
| fig = px.line(dfl4, x="date", y="value") | |
| fig.update_traces(textposition="bottom right") | |
| st.plotly_chart(fig) | |
| st.markdown('---') | |
| elif low_symbol == 'BNI-AM Indeks IDX30' : | |
| dfl5['value'] = dfl5['value'].astype(float) | |
| dfl5['date']=pd.to_datetime(dfl5['date']) | |
| fig = px.line(dfl5, x="date", y="value") | |
| fig.update_traces(textposition="bottom right") | |
| st.plotly_chart(fig) | |
| st.markdown('---') | |
| elif low_symbol == 'BNI-AM Dana Saham Inspiring Equity Fund' : | |
| dfl6['value'] = dfl6['value'].astype(float) | |
| dfl6['date']=pd.to_datetime(dfl6['date']) | |
| fig = px.line(dfl6, x="date", y="value") | |
| fig.update_traces(textposition="bottom right") | |
| st.plotly_chart(fig) | |
| st.markdown('---') | |
| elif low_symbol == 'Simas Saham Unggulan' : | |
| dfl7['value'] = dfl7['value'].astype(float) | |
| dfl7['date']=pd.to_datetime(dfl7['date']) | |
| fig = px.line(dfl7, x="date", y="value") | |
| fig.update_traces(textposition="bottom right") | |
| st.plotly_chart(fig) | |
| st.markdown('---') | |
| elif low_symbol == 'Schroder 90 Plus Equity Fund' : | |
| dfl8['value'] = dfl8['value'].astype(float) | |
| dfl8['date']=pd.to_datetime(dfl8['date']) | |
| fig = px.line(dfl8, x="date", y="value") | |
| fig.update_traces(textposition="bottom right") | |
| st.plotly_chart(fig) | |
| st.markdown('---') | |
| elif low_symbol == 'Sucorinvest Sharia Equity Fund' : | |
| dfl9['value'] = dfl9['value'].astype(float) | |
| dfl9['date']=pd.to_datetime(dfl9['date']) | |
| fig = px.line(dfl9, x="date", y="value") | |
| fig.update_traces(textposition="bottom right") | |
| st.plotly_chart(fig) | |
| st.markdown('---') | |
| elif low_symbol == 'Danareksa Mawar Konsumer 10 Kelas A' : | |
| dfl10['value'] = dfl10['value'].astype(float) | |
| dfl10['date']=pd.to_datetime(dfl10['date']) | |
| fig = px.line(dfl10, x="date", y="value") | |
| fig.update_traces(textposition="bottom right") | |
| st.plotly_chart(fig) | |
| st.markdown('---') | |
| if __name__ == '__main__': | |
| run() |