Another issue is that the toolbox relies on a NumPy version older than 2.0, which is incompatible with the current environment in Colab: https://colab.research.google.com/drive/1N0xxcVUdZr3m179XeS_OyK1y_d90M0EW

import os
os.environ['API_KEY'] = "XXX"

import qnt.ta as qnta
import qnt.data as qndata
import qnt.backtester as qnbk
import xarray as xr


def load_data(period):
    data = qndata.futures_load_data(tail=period)
    return data


def strategy(data):
    close = data.sel(field='close')
    sma200 = qnta.sma(close, 200).isel(time=-1)
    sma20 = qnta.sma(close, 20).isel(time=-1)
    return xr.where(sma200 < sma20, 1, -1)


qnbk.backtest(
    competition_type="futures",
    load_data=load_data,
    lookback_period=365,
    test_period=2 * 365,
    strategy=strategy,
    check_correlation=False
)

got error:

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
Cell In[1], line 5
      2 os.environ['API_KEY'] = "XXX"
      4 import qnt.ta as qnta
----> 5 import qnt.data as qndata
      6 import qnt.backtester as qnbk
      7 import xarray as xr

File ~/work/toolbox/.venv/lib/python3.10/site-packages/qnt/data/__init__.py:45
     41 from .cryptodaily import load_data as cryptodaily_load_data
     43 from .common import Fields, f, Dimensions, ds, get_env, deprecated_wrap
---> 45 from ..output import write as write_output
     46 from ..output import normalize as sort_and_crop_output
     47 from ..output import clean as clean_output

File ~/work/toolbox/.venv/lib/python3.10/site-packages/qnt/output.py:6
      3 import pandas as pd
      4 import gzip
----> 6 import qnt.stats as qns
      7 import qnt.exposure as qne
      8 from qnt.data.common import ds, f, track_event, get_env

File ~/work/toolbox/.venv/lib/python3.10/site-packages/qnt/stats.py:3
      1 from .data import f, ds, stocks_load_list, get_env, futures_load_list, stocks_load_ndx_list, stocks_load_spx_list
      2 from .data.common import track_event
----> 3 from .output import normalize as output_normalize
      4 from qnt.log import log_info, log_err
      5 import xarray as xr

ImportError: cannot import name 'normalize' from partially initialized module 'qnt.output' (most likely due to a circular import) (/Users/agorodilov/work/toolbox/.venv/lib/python3.10/site-packages/qnt/output.py)

Hey,
got error
https://colab.research.google.com/drive/1ZOLbnAsEzPdD_zd3iU-AiVQnLqyTa5go
"ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject"