Inspiration

What it does

Based on the user's risk tolerance the algorithm uses mean reversion models on crypto currency and equities to place high-frequency trades or swing trades. Each trade is notified via email.

Challenges we ran into

Getting real-time intraday price without paying, Worked around this by scraping the price of yahoo finance.

What's next for PorifTrade

A mobile app, custom trading for users to build and test algorithms without code.

Built With

alphavantage
beautiful-soup
finhub
matplot
numpy
pandas
python
requests
streamlit
yahoo

Updates

Harriharan Sivakumar posted an update — Aug 02, 2021 06:08 PM EDT

Additional Documentation (No new code updates - just documentation)

Low Risk:

Uses an RSI mean reversion strategy on the daily price data and notifies trades via email. Does not currently have any sentiment analysis but looking to add that in the future.

Mid Risk:

Uses an RSI mean reversion strategy on the 5 min intraday price data. The live model sends an email for every trade signal including holding.

High Risk:

Cryptocurrency: Uses MACD, EMA and RSI for trading BTC/USD on the 1 min chart and notifies via email.

Note: All equity models also use an equity model.

Presentation and Walkthrough

Youtube:

Link: https://youtu.be/u1IfUj1V6oc The video already exists on google drive.

For more info email me @ [email protected], I am willing to join you on a live zoom call to elaborate on topics and the code.

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Harriharan Sivakumar posted an update — Aug 02, 2021 10:02 AM EDT

How to start

Download and unzip all the files from the google drive link. Open dashboard.py in the terminal and run the following command "streamlit run dashboard.py"

The GUI will be up and running on your web browser

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Harriharan Sivakumar started this project — Aug 02, 2021 09:59 AM EDT

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