def triple_screen(n, coin, screen):
tickers_df = tickers.get_tickers(n, coin, datetime.now(), 0)
if len(tickers_df) >= n:
# last = tickers_df.price.mean()
last = tickers_df.iloc[0].price
tickers.insert_tickers(datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
coin, last, screen)
def get_tick(coin):
polo = Poloniex()
intermediate_data = polo('returnTicker')[coin]
date = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
last = intermediate_data['last']
tickers.insert_tickers(date, coin, last, 0)
return last, date
def get_tick_interval(coin, last_date, interval):
polo = Poloniex()
h = polo.returnChartData(coin, interval, start=last_date)
tick = np.mean((float(h['close']) + float(h['open']) + float(h['low']) +
float(h['high'])))
date = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(h['date']))
try:
tickers.insert_tickers(date, coin, tick, 0)
except Exception:
print("Error Inserting Tick")
return None
return h
def get_historical_screen(interval, coin, screen):
x = 0
tickers_df = tickers.get_all_tickers_screen(coin, 0)
volume = 0
for index, row in tickers_df.iterrows():
x += 1
volume += row.volume
if not (x % (interval * 12)):
start = x - interval * 12
end = x
# last = tickers_df.iloc[start:end].price.mean()
last = tickers_df.iloc[end - 1].price
tickers.insert_tickers(row.date, coin, last, volume, screen)
features.update_indicators(row.date, coin, screen)
volume = 0
def get_historical_data(coin, start):
polo = Poloniex()
print('Fetching External Data')
# historical = polo.returnChartData(coin, 300)
historical = polo.returnChartData(coin, 300, start=start)
print('Got External Data')
inserted = 0
for h in historical:
# tick = np.mean((float(h['close']) + float(h['open']) + float(h['low']) + float(h['high'])))
tick = float(h['close'])
volume = float(h['volume'])
date = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(h['date']))
try:
tickers.insert_tickers(date, coin, tick, volume, 0)
except Exception:
continue
features.update_indicators(date, coin, 0)
inserted += 1
return inserted