Forex - Trading Bot (built using python)

**Currently depolyed at https://forex.devhorizon.io/ **

v1-Dash-Deployment

Data comes from OANDA API

Writes data to pkl's for each currency conversion then consolidates all pkl's into an excel sheet for advanced data analysis

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to Start the backend server:

1. get into python venv: F:\GitHub\Trader\Code> .\venv\Scripts\Activate

2. Collect data if needed: python main.py

3. start the server we built using python server.py

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to view / create the dashboard

1. navigate to: F:\GitHub\Trader\Code\forex-dash>

2. run: npm start

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check the setup.bat file

run with .\setup.bat

main

##### if data is to be changed

check the setup.bat file

run with .\setup.bat

The stocks and data are from Oanda

@ developer.oanda.com

educational account - nonprofit

Oanda api:
950e89e18324a1decd3d88f4cc43a085-5f59d5913e0f487ebe5eec4cb06b20c1

account number
101-001-27981277-001

Requirements

• check the requirements.txt

• generate the requirements.txt from installed packages: pip freeze > requirements.txt -install requirements.txt: pip install -r requirements.txt

We will need python for this application can use "python3 -V" to get version or "python3" to install python. 3.10 + required.

Setting up the python virtual environment:

1. "python -m venv venv" <!--create it by typing in the terminal ->
2. "venv/scripts/activate"
3. "pip install pillow"
4. "venv/scripts/deactivate"

in the project Code folder: 5. "pip install wheel" 6. "pip install pandas jupyter" 7. "pip install jupyterthemes" 8. "pip install requests" 9. "pip install plotly" 10."jt -t onedork -f roboto -cellw 95%"

11."jupyter notebook" <!--run the notebook server->

PS Pandas has changed the group by to include more than numerics, so we will use groupby(stuff...).sum(numeric_only=true)

1. generate the pkl's for each currency with:

   api = OandaApi() instrumentCollection.LoadInstruments("./data") run_collection(instrumentCollection, api)

2. ** Delete the ma res trades and ma res pkl before generating the spreadsheets with:

   run_ma_sim() # Run the moving average simulation

   (if not deleted the spreadsheets will be wack)