diff --git a/README.md b/README.md
index 1c78e53..9d64f33 100644
--- a/README.md
+++ b/README.md
@@ -123,6 +123,23 @@ Visualization uses external library [plotly](https://plot.ly/). Below You can se
 
 <img src="https://user-images.githubusercontent.com/1301154/28573699-70c6d14c-7119-11e7-8bb6-06c53908066d.png">
 
+Below is an example of Final Simulation Report summary:
+```
+****************************************************
+              Final simulation report:               
+****************************************************
+Wallet at Start: | 50.0DGB |
+Wallet at End: | 51.3464723121DGB |
+Strategy result: -5.68%
+Buy & Hold: -8.16%
+Strategy vs Buy & Hold: 2.47%
+Total txn: 10
+Simulated (data time): 0 days, 4 hours and 55 minutes
+Transactions per hour: 2.03
+Simulation run time: 0 hours 1 minutes and 13 seconds
+Created new window in existing browser session.
+```
+
 
 ## Donate
 If you would like to support the project in other way than code-contributing, you can donate Mosquito development on 
diff --git a/core/report.py b/core/report.py
index 8e8911e..ea5f1f9 100644
--- a/core/report.py
+++ b/core/report.py
@@ -33,6 +33,8 @@ def write_final_stats(self, ticker_start, ticker_end, wallet, trades):
         print('****************************************************')
         print('*           Final simulation report:               *')
         print('****************************************************')
+        print('Wallet at Start:', self.get_wallet_text(wallet.initial_balance))
+        print('Wallet at End:', self.get_wallet_text(wallet.current_balance))
         print(self.get_color_text('Strategy result: ', curr_bal_percent))
         print(self.get_color_text('Buy & Hold: ', buy_and_hold))
         print(self.get_color_text('Strategy vs Buy & Hold: ', curr_bal_percent-buy_and_hold))
@@ -67,7 +69,7 @@ def calc_stats(self, ticker_data, wallet):
         date_time = datetime.fromtimestamp(ticker_data['date'][0]).strftime('%c') + ','
         current_close = 'close:' + format(ticker_data.iloc[0]['close'], '2f') + ','
         # Wallet
-        wallet_text = self.get_wallet_text(wallet)
+        wallet_text = self.get_wallet_text(wallet.current_balance)
         # Balance
         balance = self.calc_balance(ticker_data, wallet.current_balance)
         balance_text = self.get_color_text('$: ', balance) + ','
@@ -90,9 +92,9 @@ def get_wallet_text(wallet, currencies=None):
         """
         # TODO return only wallet of given currencies
         wallet_string = ''
-        for symbol, balance in wallet.current_balance.items():
+        for symbol, balance in wallet.items():
             if balance > 0:
-                wallet_string += ' | ' + str(balance) + symbol
+                wallet_string += '| ' + str(balance) + symbol
         wallet_string += ' |'
         return wallet_string
 
diff --git a/strategies/bumblebee.py b/strategies/bumblebee.py
index ecd7ee6..8ef13c2 100644
--- a/strategies/bumblebee.py
+++ b/strategies/bumblebee.py
@@ -15,7 +15,7 @@ class Bumblebee(Base):
     def __init__(self, args):
         super(Bumblebee, self).__init__(args)
         self.name = 'ema'
-        self.min_history_ticks = 60  # 60 minute interval
+        self.min_history_ticks = 60  # 300 minute interval
         self.pair = 'BTC_DGB'
 
     def calculate(self, look_back, wallet):
@@ -40,11 +40,14 @@ def calculate(self, look_back, wallet):
         volume = df['volume'].values
 
         # ** Ema **
-        # ema = talib.EMA(close, timeperiod=len(close))[end_index]
         # end_index = len(df.index) - 1
+        # ema = talib.EMA(close, timeperiod=len(close))[end_index]
+        # print('ema:', ema)
 
         # ** Slope **
+        # end_index = len(df.index) - 1
         # slope = talib.LINEARREG_SLOPE(close, timeperiod=len(close))[end_index]
+        # print('slope:', slope)
 
         # ** OBV (On Balance Volume)
         obv = talib.OBV(close, volume)
@@ -58,9 +61,9 @@ def calculate(self, look_back, wallet):
         perc_change = percent_change(look_back, 2)
         print('perc_change:', perc_change)
 
-        if obv >= 200:
+        if obv >= 20:
             new_action = TradeState.buy
-        elif obv < 0 or perc_change <= -1.0:
+        elif obv < -5:  # or perc_change <= -1.0:
             new_action = TradeState.sell
 
         df_last = df.iloc[[-1]]