freqsignals-client

FreqSignals client for python! FreqSignals is a platform enabling easier exchange of trading signals. This client library assists in token management and abstracts the HTTP requests to make it easy to upload or download signals.

Learn more at https://freqsignals.com.

Install

pip install freqsignals-client

Docs

FreqSignalsClient

init

from freqsignals_client import FreqSignalsClient,
client = FreqSignalsClient(
    client_id="1234",
    client_secret="567890",
)

get_signals

see documentation

# get all signals
client.get_signals()
# pass some filters as a dict of query parameters (see documentation)
client.get_signals({
    "data_set_id": "1234-56-78-9012",
    "updated_date__gt": "2023-01-01",
    "limit": 1,
})

Note: Might raise a freqsignals_client.FreqSignalsError if FreqSignals rejects the request

Note: Might raise a freqsignals_client.FreqSignalsTimeoutError if the request times out

which returns:

{
    "count": 420,
    "next": "https://api.freqsignals.com/api/crud/signals/?limit=1&offset=1",
    "previous": null,
    "results": [
      {
        "id": "1237-45-67-8910",
        "symbol": "DOGE/USDT",
        "value": 48.965,
        "ttl_minutes": 5,
        "created_date": "2022-11-13T22:52:58.216164Z",
        "updated_date": "2023-01-26T23:25:46.360932Z",
        "context": {
          "rsi": 48.965,
          "price": 0.086,
          "open": 0.086,
          "close": 0.086,
          "high": 0.086,
          "low": 0.086,
          "last_move": 0.0
        },
        "data_set_id": "2345-67-89-1234"
      }
    ]
}

post_signal

see documentation

client.post_signal({
    "symbol": "BTC",
    "value": 0.1,
    "ttl_minutes": 60,
    "data_set_id": "DATA_SET_ID"
})

logging

To get visibility into logged events, override the log method and log however your app needs to log:

class CustomFreqSignalsClass(FreqSignalsClient):
    def log(self, level, msg, **log_variables):
        print(f"[{level}] {msg}", log_variables)
        

client = CustomFreqSignalsClass(client_id, client_secret)

Example

from freqsignals import FreqSignalsClient, FreqSignalsError, FreqSignalsTimeoutError

my_client = FreqSignalsClient("1234", "56-789")
try:
    results = my_client.get_signals()
    print(results)
except FreqSignalsError:
    print("FreqSignals failure")
except FreqSignalsTimeoutError:
    print("FreqSignals timed out")

Common Commands:

Black Formatting

$ black freqsignals_client --config freqsignals_client.toml

Build

$ python3 setup.py sdist

Pypi Distribution

$ python3 -m twine upload dist/*

License

FreqSignals Client is MIT licensed.