mirror of
git://git.acid.vegas/random.git
synced 2024-11-14 03:56:42 +00:00
100 lines
3.1 KiB
Python
100 lines
3.1 KiB
Python
#!/usr/bin/env python
|
|
# CoinMarketCap Standard Deviation - Developed by acidvegas in Python (https://acid.vegas/random)
|
|
|
|
'''
|
|
The script will calculate the mean, median, mode, high, low & std for the entire cryptocurrency market over the last 7 days.
|
|
|
|
API Documentation:
|
|
https://coinmarketcap.com/api/
|
|
'''
|
|
|
|
import datetime
|
|
import http.client
|
|
import json
|
|
import math
|
|
import time
|
|
import statistics
|
|
|
|
class CoinMarketCap(object):
|
|
def __init__(self):
|
|
self.cache = {'ticker':{'BTC':{'last_updated':0}}}
|
|
|
|
def _ticker(self):
|
|
conn = http.client.HTTPSConnection('api.coinmarketcap.com')
|
|
conn.request('GET', '/v1/ticker/?limit=0')
|
|
data = json.loads(conn.getresponse().read().replace(b': null', b': "0"'))
|
|
conn.close()
|
|
return data
|
|
|
|
def _markets():
|
|
conn = http.client.HTTPSConnection('s2.coinmarketcap.com')
|
|
conn.request('GET', '/generated/search/quick_search.json')
|
|
data = json.loads(conn.getresponse().read())
|
|
conn.close()
|
|
results = dict()
|
|
for item in data:
|
|
results[item['id']] = item['name']
|
|
return results
|
|
|
|
def _graph(self, name, start_time, end_time):
|
|
conn = http.client.HTTPSConnection('graphs2.coinmarketcap.com', timeout=60)
|
|
conn.request('GET', f'/currencies/{name}/{start_time}/{end_time}/')
|
|
return json.loads(conn.getresponse().read())
|
|
|
|
def generate_table(data):
|
|
matrix = dict()
|
|
keys = data[0].keys()
|
|
for item in keys:
|
|
matrix[item] = list()
|
|
del keys
|
|
for item in data:
|
|
for subitem in item:
|
|
matrix[subitem].append(item[subitem])
|
|
for item in matrix:
|
|
matrix[item] = len(max(matrix[item], key=len))
|
|
columns = [item.ljust(matrix[item]) for item in matrix.keys()]
|
|
print(' '.join(columns))
|
|
del columns
|
|
for item in data:
|
|
row_columns = [item[subitem].ljust(matrix[subitem]) for subitem in item]
|
|
print(' | '.join(row_columns))
|
|
|
|
def stddev(data):
|
|
n = len(data)
|
|
if n <= 1:
|
|
return 0.0
|
|
mean = avg_calc(data)
|
|
sd = 0.0
|
|
for el in data:
|
|
sd += (float(el)-mean)**2
|
|
sd = math.sqrt(sd/float(n-1))
|
|
return sd
|
|
|
|
def avg_calc(ls):
|
|
n = len(ls)
|
|
mean = 0.0
|
|
if n <= 1:
|
|
return ls[0]
|
|
for el in ls:
|
|
mean = mean+float(el)
|
|
mean = mean/float(n)
|
|
return mean
|
|
|
|
def get_data(coin, start_time, end_time):
|
|
try:
|
|
time.sleep(4)
|
|
data = [item[1] for item in CMC._graph(coin, start_time, end_time)['price_usd']]
|
|
return {'name':coin,'mean':f'{sum(data)/len(data):.2f}','median':f'{statistics.median(data):.2f}','mode':f'{max(set(data),key=data.count):.2f}','high':f'{max(data):.2f}','low':f'{min(data):.2f}','std':f'{stddev(data):.2f}'}
|
|
except:
|
|
return {'name':'none','mean':'none','median':'none','mode':'none','high':'none','low':'none','std':'0'}
|
|
|
|
CMC = CoinMarketCap()
|
|
ticker_data = CMC._ticker()
|
|
start_time = int((datetime.datetime.now()-datetime.timedelta(days=7)).timestamp()*1000)
|
|
end_time = int(datetime.datetime.now().timestamp()*1000)
|
|
coins = [item['id'] for item in ticker_data] #[:10]
|
|
data = [get_data(coin, start_time, end_time) for coin in coins]
|
|
data = sorted(data, key=lambda k: float(k['std']), reverse=True)
|
|
generate_table(data)
|
|
size=len(CMC._graph('bitcoin', start_time, end_time)['price_usd'])
|
|
print('Spread acrosss 7 days - ' + str(size) + ' points') |