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data.py
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data.py
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import requests
import pandas as pd
'''API DOC: https://lunarcrush.com/developers/docs# '''
KEY_API = '39o5gbbtx7n1gxkvnhf6na'
def get_coin_data(symbol, data_points=365, interval='day'):
url = "https://api.lunarcrush.com/v2?data=assets&key={}&symbol={}&data_points={}&interval={}".format(KEY_API,
symbol,
data_points,
interval)
response = requests.get(url).json()
data = response['data'][0]
df = pd.json_normalize(data['timeSeries'])
df['time'] = pd.to_datetime(df['time'], unit='s')
data = pd.json_normalize(data)
df['MA-Low'] = df.low.rolling(window=20).mean()
df['MA-High'] = df.high.rolling(window=20).mean()
df['MA-Volume'] = df.volume.rolling(window=20).mean()
details = data[
['name', 'symbol', 'price', 'price_btc', 'market_cap', 'percent_change_24h', 'percent_change_7d',
'percent_change_30d',
'volume_24h', 'max_supply']]
return (df, details.to_dict(orient='records')[0])
def get_global_information(change=6, data_points=182):
url = "https://api.lunarcrush.com/v2?data=global&key={}&change={}m&data_points={}".format(KEY_API,
change, data_points)
response = requests.get(url).json()
df = pd.json_normalize(response['data']['timeSeries'])
df = df[['time', 'volume', 'btc_dominance', 'btc_market_cap', 'alt_coin_market_cap', 'altcoin_dominance']]
df['time'] = pd.to_datetime(df['time'], unit='s')
return df
def get_n_top_coins(n=50):
url = 'https://api.lunarcrush.com/v2?data=market&key={}&sort=acr&type=fast'.format(KEY_API)
response = requests.get(url).json()
df = pd.json_normalize(response['data'])
df.rename(columns={
's': 'Symbol',
'n': 'Name',
'p': 'Price',
'v': 'Volume',
'pc': '24 Hours',
'pch': '1 Hour',
'mc': 'Market Cap',
'gs': 'Galaxy Score',
'ss': 'Social Score',
'acr': 'ALTRank',
't': 'Number of tweets',
'sd': 'Social Dominance',
'd': 'Market Dominance'
}, inplace=True)
df['24 Hours'] = df['24 Hours'].div(100).round(4)
df['1 Hour'] = df['1 Hour'].div(100).round(4)
return df[['ALTRank', 'Galaxy Score', 'Social Score', 'Symbol', 'Name', 'Price', 'Volume', '24 Hours', '1 Hour',
'Market Cap', 'Number of tweets', 'Social Dominance', 'Market Dominance']]
def get_social_coin_data(symbol):
url = 'https://api.lunarcrush.com/v2?data=assets&key={}&symbol={}'.format(KEY_API, symbol)
response = requests.get(url).json()['data']
df = pd.json_normalize(
response,
record_path=['timeSeries'],
meta=['symbol']
)
df['time'] = pd.to_datetime(df['time'], unit='s')
df = df[['unique_url_shares', 'url_shares', 'reddit_posts', 'tweets', 'tweet_spam', 'time', 'symbol']]
return df
def get_feeds_information():
url = "https://api.lunarcrush.com/v2?data=feeds&key={}&limit=20&sources=news,urls".format(KEY_API)
response = requests.get(url).json()
df = pd.json_normalize(response['data'])
df['time'] = pd.to_datetime(df['time'], unit='s')
return df
def get_tweets_data():
url = "https://api.lunarcrush.com/v2?data=feeds&key=39o5gbbtx7n1gxkvnhf6na&&limit=20&sources=twitter"
response = requests.get(url).json()
data = response['data']
df = pd.json_normalize(data)
df['time'] = pd.to_datetime(df['time'], unit='s')
return df