RaphaelBecker/fin_screener

A prototype stock and crytocurrency screener app in Streamlit.

fin_screener

A prototype stock and crytocurrency screener app in Streamlit.

kick start from monolith:

https://2.pmam.com/Thouhgts/analytics/streamlit-data-app/

project build with

• Python 3.9.7

install

• run setup.bat (windows)
• download TA-lib wheels file from: https://www.lfd.uci.edu/~gohlke/pythonlibs/#ta-lib
• and install the downloaded file by pip install "path_to\TA-lib-file.wh"
• in a python shell inside venv, run:
  • >>> import nltk
  • >>> nltk.download()

run

• open cmd in project root
• run activate.bat
• run streamlit run main.py
• OR double click finaap.bat in project root on windows

some of the previews:

Chart Analysis:

Market Screener:

Trading Journal (mock)

streamlit cheat sheet:

• https://share.streamlit.io/daniellewisdl/streamlit-cheat-sheet/app.py

Wishlist:

• different pages
  • trading diary
  • trading checklist
  • portfolio tracker
  • technical + fundamental screener
    • chart pattern (bukowski), janaese candlesticks
    • technische indikatoren
    • overlay studies
    • fundamental business data (f.e. roi, kgv etc...)
    • markets (usa, D, etc...), business sector (tech, raw materials, etc...)
  • watchlist
  • alerts to telegram
  • trading bot
  • strategy backtesting and save strategy

Inspiration:

• custom editabel table list:
  • https://stackoverflow.com/questions/69492406/streamlit-how-to-display-buttons-in-a-single-line
• Good sw architecture in streamlit:
  • https://github.com/adenhaus/f1-data-viz

Paid integrations:

Sentiment analysis:

• Socialsentiment.io
• swaggystocks.com
• quiverquant.com
• social-searcher.com

Stock APIs:

• Polygon