
main.py
# Welcome to sumtymeLab! 🚀
from sumtyme import Client
# Initialise the client with the provided API key
client = EIPClient(apikey='your-api-key-here')
forecast = client.ohlc_forecast(
data_input='folder/ohlc_data.csv',
interval=1,
interval_unit='minutes',
reasoning_mode='reactive'
)
>>> {datetime_string: chain_detected}
# chain_detected values: 1, -1, 0
Build Your Foundation
Learn how the Causal Intelligence Layer identifies the hidden threads connecting micro-level fluctuations to macro-scale shifts.