saving progress

examples/create-graphs.py

@@ -1,10 +1,13 @@
-from models.PyCryptoBot import PyCryptoBot
-from models.Trading import TechnicalAnalysis
-from views.TradingGraphs import TradingGraphs
+import sys
+sys.path.insert(0, ".")
 
-#app = PyCryptoBot()
+from controllers.PyCryptoBot import PyCryptoBot  # noqa: E402
+from models.Trading import TechnicalAnalysis  # noqa: E402
+from views.TradingGraphs import TradingGraphs  # noqa: E402
+
+# app = PyCryptoBot()
 app = PyCryptoBot('binance')
-trading_data = self.get_historical_data(app.market, self.granularity)
+trading_data = app.get_historical_data(app.market, app.granularity, None)
 
 technicalAnalysis = TechnicalAnalysis(trading_data)
 technicalAnalysis.add_all()
@@ -13,4 +16,4 @@
 tradinggraphs.renderFibonacciRetracement(True)
 tradinggraphs.renderSupportResistance(True)
 tradinggraphs.renderCandlesticks(30, True)
-tradinggraphs.renderArima_model_prediction(1, True)
+tradinggraphs.renderArima_model_prediction(1, True)

views/TradingGraphs.py

@@ -1,18 +1,14 @@
 """Plots (and/or saves) the graphical trading data using Matplotlib"""
 
-import re
-import sys
 import pandas as pd
 import numpy as np
 import matplotlib.pyplot as plt
 import matplotlib.ticker as ticker
-from datetime import datetime
+from datetime import datetime, timedelta
 
 from models.Trading import TechnicalAnalysis
 from models.helper.LogHelper import Logger
 
-sys.path.append(".")
-
 
 class TradingGraphs:
     def __init__(self, technical_analysis):
@@ -379,7 +375,7 @@ def renderArima_model_prediction(self, days=30, saveOnly=False):
 
         df = pd.DataFrame(self.df["close"])
         start_date = df.last_valid_index()
-        end_date = start_date + datetime.timedelta(days=days)
+        end_date = start_date + timedelta(days=days)
         pred = results_ARIMA.predict(
             start=str(start_date), end=str(end_date), dynamic=True
         )