ahr999 index calculation

ahr999_index.py

from datetime import datetime
from math import log10
import json
import requests

# Enter the glass node API_KEY here
glass_node_api_key = ''

birth_date = datetime(year=2009, month=1, day=3)
today = datetime.now()
age_days = (today - birth_date).days

target_price = 10 ** (5.84 * log10(age_days) - 17.01)

print('target_price:', target_price)


# make API request
res = requests.get('https://api.glassnode.com/v1/metrics/market/price_usd_close',
    params={'a': 'BTC', 'api_key': glass_node_api_key})

price_json = json.loads(res.text)


price_sum = 0
for i in range(200):
    price_sum += price_json[-i]['v']
average_200_day_price = price_sum / 200

print('average_200_day_price:', average_200_day_price)

import requests
cur_price_url = 'https://api.coindesk.com/v1/bpi/currentprice/USD.json'
response = requests.get(cur_price_url, allow_redirects=True)
cur_price = response.json()["bpi"]["USD"]["rate_float"]
print('current price:', cur_price)


p1 = cur_price / target_price
p2 = cur_price / average_200_day_price
p = p1 * p2
print()
print('all-in range: <=0.45')
print('DCA range: 0.45 ~ 1.20')
print('Sell range: >= 5.0')
print()

# Before a bull run, stop DCA when >=3.0
# After a bull run, start DCA when <= 1.2
print('ahr_999_index:', '{:.2f}'.format(p))

if p <= 0.45:
    print('  Suggestion: ALL IN!')
elif p <= 1.20:
    print('  Suggestion: Dollar cost averaging.')
elif p < 5.0:
    print('  Suggestion: Stop buying.')
elif p >= 5.0:
    print('  Suggestion: Sell some BTC to secure some fiat for daily spending.')
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