config.yaml

# The metrics for which an analysis should be performed.
metrics:
  entropy:
    - 1
  entropy_percentage:
    - 1
  gini:
  hhi:
  nakamoto_coefficient:
  theil_index:
  max_power_ratio:
  tau_index:
    - 0.33
    - 0.66
  total_entities:

# The ledgers for which an analysis should be performed.
ledgers:
  - bitcoin
  - bitcoin_cash
  - cardano
  - dogecoin
  - ethereum
  - litecoin
  - tezos
  - zcash

# Execution flags
execution_flags:
  force_map: false

# Analyze flags
analyze_flags:
  clustering: true

# The timeframe for which an analysis should be performed.
# Each date is a string of the form YYYY-MM-DD.
timeframe:
  start_date: 2011-01-01
  end_date: 2023-12-31

# The number of days to use for the estimation window, i.e.how many days of blocks to use for each data point.
# If left empty, then the entire time frame will be used (only valid when combined with empty frequency).
estimation_window: 30

# How frequently to sample the data, in days
# If left empty, then only one data point will be analyzed (snapshot instead of longitudinal analysis), but this is
#  only valid when combined with an empty estimation_window.
frequency: 30  # todo maybe add hadrcoded values for day, week, month, year (in the code that parses this) + for the estimation window


input_directories:  # Paths to directories that contain raw input data
  - ./input

# Paths to directories of snapshot db files; either absolute or relative from run.py.
# The first path will be used to write newly created dbs and the output of runs
output_directories:  
  - ./output


# Plot flags
plot_parameters:
  plot: false
  animated: true