df_markets.set_index("market", inplace=True)
print("Processing, please wait...")
ROW = 1
for market, data in df_markets.T.iteritems():
print(
f"[{ROW}/{len(df_markets)}] {market} {round((ROW/len(df_markets))*100, 2)}%"
)
try:
if int(data["volume"]) > 0:
ta = TechnicalAnalysis(
api.getHistoricalData(market, GRANULARITY, None))
ta.addEMA(12)
ta.addEMA(26)
ta.addATR(72)
df_1h = ta.getDataFrame()
df_1h["ema12ltema26"] = df_1h.ema12 < df_1h.ema26
df_1h_last = df_1h.tail(1)
# volatility over the last 72 hours
df_markets.at[market,
"atr72"] = float(df_1h_last[["atr72"
]].values[0][0])
df_markets["atr72_pcnt"] = (df_markets["atr72"] /
df_markets["price"] *
100).round(2)
df_markets.at[market, "buy_next"] = df_1h_last[
df_1h_last["market"] ==
market]["ema12ltema26"].values[0]
except Exception as err:
from models.PyCryptoBot import PyCryptoBot from models.Trading import TechnicalAnalysis app = PyCryptoBot() df = app.getHistoricalData(app.getMarket(), app.getGranularity()) model = TechnicalAnalysis(df) model.addATR(14) df = model.getDataFrame() print(df)