Numerai Julia API

Julia API to programmatically download and upload data for the Numerai machine learning competition. This library was inspired by Numerai Python API by uuazed/numerapi.

Installation

(@v1.9) pkg> add NumerAPI

Example - Tournament

using NumerAPI.Tournament

# Download Current Dataset
tournament_api = TournamentAPI()
download_dataset(tournament_api,"v3/numerai_live_data.parquet", "numerai_live_data.parquet"))

# Get Current Leaderboard
leaderboard = get_leaderboard(tournament_api, limit=25)


# Provide API Token 
public_id = "NUMERAI_PUBLIC_ID"
secret_key = "NUMERAI_SECRET_KEY"
tournament_api = TournamentAPI(public_id, secret_key)

# Upload Predictions
model_id = get_models(tournament_api)['pacio']
upload_predictions(tournament_api, "predictions.csv", model_id=model_id)

# check submission status
submission_status(tournament_api, model_id)

# increase your stake by 1.2 NMR
stake_increase(tournament_api, 1.2)

Example - Signals

using NumerAPI.SignalsAPI

signals_api = SignalsAPI()
leaderboard = get_leaderboard(signals_api, limit=25)

# Provide API Token 
public_id = "NUMERAI_PUBLIC_ID"
secret_key = "NUMERAI_SECRET_KEY"
signals_api = SignalsAPI(public_id, secret_key)

# Upload Predictions
model_id = get_models(tournament_api)['pacio']
upload_predictions(signals_api, "signals.csv", model_id=model_id)

status = submission_status(signals_api, model_id)

Contributions

Contributions are always welcome. Please report any issues and bugs that you encounter in issues.