calc_debt_ratio.py

__author__ = "http://hive.blog/@cervantes"
__copyright__ = "Copyright (C) 2020 hive's @cervantes"
__license__ = "MIT"
__version__ = "1.1"

from beem import Steem


def average(mylist):
    '''Compute median value'''
    sum=0
    for e in mylist:
        sum=sum+int(e)
    
    average_value = (sum/len(mylist))/1000
    return(average_value)


def get_debt_ratio():

    stm = Steem("https://anyx.io")
    prop = stm.get_dynamic_global_properties()
    #for k in prop:
        #print("%s: %s"%(k,prop[k]))

    virtual_supply = int(prop["virtual_supply"]["amount"]) / 1000
    current_supply = int(prop["current_supply"]["amount"]) / 1000
    current_sbd_supply = int(prop["current_sbd_supply"]["amount"]) / 1000

    median_base = int(stm.get_current_median_history()["base"]["amount"]) 
    median_quote = int(stm.get_current_median_history()["quote"]["amount"])
    median_price = (median_base / median_quote)
    prices = [k["base"]["amount"] for k in  stm.get_feed_history()["price_history"]]
    median_price = average(prices)
    #median_price = 0.45
    steem_market_cap = virtual_supply * median_price
    debt_ratio = (current_sbd_supply / (virtual_supply * median_price)) * 100

    result = {}
    result["virtual_supply"] = virtual_supply
    result["current_supply"] = current_supply
    result["current_sbd_supply"] = current_sbd_supply
    result["median_price_history"] = prices
    result["median_price"] = median_price
    result["steem_market_cap"] = steem_market_cap
    result["debt_ratio"] = debt_ratio


    return(result)

if __name__ == '__main__':

    result = get_debt_ratio()

    #print(result)

    print("\n")
    print("################ HBD/HIVE DEBT RATIO #######")
    print("virtual_supply: %s Mio HIVE" % str(round((result["virtual_supply"]/1000000),2)))
    print("current_supply: %s Mio HIVE" % str(round((result["current_supply"]/1000000),2)))
    print("current_sbd_supply: %s Mio HDB " % str(round((result["current_sbd_supply"]/1000000),2)))
    print("average_price_feed: %s $" % str(round(result["median_price"],5)))
    print("hive_market_cap: %s Mio $" % str(round(result["steem_market_cap"]/1000000,3)))
    print("debt_ratio: %s %% " % str(round(result["debt_ratio"],4)))
    print("#############################################\n")
    print("The average feed price is over the last %s samples : %s " % (len(result["median_price_history"]), average(result["median_price_history"])))