Reports

Functional:

• Binance testnet account

• An actual Binance account (Optional)

• API keys (Which you can get after creating a binance account)

Non-Functional:

• Trading Knowledge

As discussed in the interface, we have 4 components i.e. Watchlist, Logger, Strategies and Trades. These components are tiled and placed on the root window(Tkinter concept).

We can easily switch between live market (You use your own money to trade) and the simulated market (Test your strategies and practice trading without putting in real money).

We've gone with minimal design and preferred functionality over design for this app as major focus is on trades and to keep placing orders when the trade conditions are met. The app does this infinitely, until the strategy is switched off.

Technical:

• All you need is a running system with python installed.

• You just go the directory and run the command: 'py main.py' OR 'python main.py'

Economical:

• You don't have to use real money i.e. it is optional. You can use the amount provided in the demo account by binance to practice and know the outcome of your strategy.

Operational:

• You need to keep the app running, i.e. the system must be on while you are trading or doing other work side by side.

• We followed OOP and implemented its principles and also modularized our code.

• Wrote our code in such a way that when you're writing code in other modules, you'll get auto complete help by the IDE you're using.

• We used try-except wherever necessary to make our app more robust.

• Testing and validation checks.

Binance does all the heavy lifting here for us. i.e. we don't have to worry about authentication and security since we're using their API and they've implemented best in class security measures, we're just leveraging them.

None. On the developing side our cost was Zero, we used free resources like Binance Testnet(Demo/Simulated trading environment) and the Binance API

Cost of money can incur if you want to trade in the live market where you use your own money to trade, but since we used Binance testnet as our base to develop this app, cost is Zero.

• Add support for more exchanges like Bitmex, WazirX, CoinDCX, Coinbase, etc.

• Add more template strategies, or 'tried and proven' classic strategies.

1. Binance API documentation: https://binance-docs.github.io/apidocs/futures/en/#general-info

2. Binance testnet demo: https://www.youtube.com/watch?v=Vp2jSUtrdK0&t=1230s

3. Tkinter documentation https://docs.python.org/3/library/tk.html

4. Tkinter video tutorial: https://www.youtube.com/watch?v=YXPyB4XeYLA&t=634s

5. For Strategies:

   • MACD indicator implementation: https://medium.com/codex/algorithmic-trading-with-macd-in-python-1c2769a6ad1b

   • RSI indicator implementation: https://medium.com/codex/algorithmic-trading-with-relative-strength-index-in-python-d969cf22dd85

   • MACD + RSI Strategy implementation: https://medium.com/analytics-vidhya/momentum-trading-with-macd-and-rsi-yfinance-python-e5203d2e1a8a

6. Trading Basics: https://www.youtube.com/watch?v=y7iVTTH5tOA

7. w3schools as a mini reference for python concepts/doubts: https://www.w3schools.com/python/python_reference.asp

8. Websockets basics: https://www.youtube.com/watch?v=8ARodQ4Wlf4

9. websocket-client documentation: https://pypi.org/project/websocket-client/

10. logging documentation: https://docs.python.org/3/library/logging.html