CMM

Test suite for Trading View strategies. It has an endpoint which accepts incoming POST requests from Trading View alerts. It then log these alerts onto a Google Sheet, as well as sending webhook messages to Discord's API to send bot messages to corresponding channels. Additionally, it sends trade orders to Alpaca's paper trading API.

Development

Python Virtual Environment

Create a .ve virtual environment. Activate the environment, and then install required modules with pip3 install -r requirements.txt

Starting Flask

On MacOS or Linux, run dev.sh.

On Windows, run dev_win.cmd.

Environmental Variables

Create a .env at root directory containing the environmental variables needed.

APCA_API_BASE_URL=
APCA_API_KEY_ID=
APCA_API_SECRET_KEY=
WEBHOOK_PASSPHRASE=
DISCORD_URL=
DISCORD_URL_OB=
DISCORD_URL_CP=
DISCORD_URL_RSI=
DISCORD_URL_FIB=
DISCORD_URL_DIV=
DISCORD_URL_CME=
GSHEET_ID=
GCREDS='{
    "type": "service_account",
    ...
}'

Deployment

Heroku

Remember to configure the environmental variables same as .env and additionally:

FLASK_APP=app.py
FLASK_DEBUG=0

Reference

Example base JSON of a strategy alert from Trading View:

{
    "passphrase": "abcdefgh",
    "time": "2022-07-02T01:44:17Z",
    "exchange": "BINANCE",
    "ticker": "BTCUSD",
    "bar": {
        "time": "2022-07-02T01:44:17Z",
        "open": 19272.13,
        "high": 19272.13,
        "low": 19272.13,
        "close": 19272.13,
        "volume": 0.0008
    },
    "order_id": "x123y987",
    "position_size": 0.1,
    "order_action": "buy",
    "order_contracts": 1,
    "order_price": 19200,
    "market_position": "long",
    "market_position_size": 0.1,
    "prev_market_position": "flat",
    "prev_market_position_size": 0.1,
    "do_trade": false
}

Additional key-value pairs are added for different strategies:

For Candle Pattern (Hanging Man):

{
    "strategy_name": "CP",
    "candle_pattern": "Hanging Man"
}

For RSI:

{
    "strategy_name": "RSI"
}