stockmarket-backtester

Python project to backtest trading strategies in stocks
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[Click here to visit website] (https://stockmarket-backtester.streamlit.app/)\

• Python -m venv .venv
• source ./bin/activate
• python3 -m pip install -r requirements.txt
• streamlit run main.py

Goals

• POC of reading and doing a basic filtering of datatable.
• Enter a random trade within a date range and have the trade close automatically based on RRR
• If-Loops to iterate randomly within date period
• Catch results and adjust PNL
• Add more date ranges, check and store results as benchmark

Next steps (Stock adaptability and entry methods)

• Adapt to other stocks
• Test different trading methods and compare to benchmark and between them
• Try strategy on other stocks and see which performs better

Next steps (Trade management)

• Explore trade management ideas and compare performance