From 6ba2492360e81e2a8a8879bf6730ca6d4729a40e Mon Sep 17 00:00:00 2001
From: Janne Sinivirta <janne.sinivirta@gmail.com>
Date: Wed, 25 Oct 2017 18:24:20 +0300
Subject: [PATCH] add Awesome Oscillator and try it in hyperopt

---
 freqtrade/analyze.py             | 3 +++
 freqtrade/tests/test_hyperopt.py | 5 ++++-
 2 files changed, 7 insertions(+), 1 deletion(-)

diff --git a/freqtrade/analyze.py b/freqtrade/analyze.py
index 310754754..3b9a870c3 100644
--- a/freqtrade/analyze.py
+++ b/freqtrade/analyze.py
@@ -5,6 +5,7 @@ from datetime import timedelta
 import arrow
 import talib.abstract as ta
 from pandas import DataFrame
+from qtpylib.indicators import awesome_oscillator, crossed_above
 
 from freqtrade import exchange
 from freqtrade.exchange import Bittrex, get_ticker_history
@@ -41,6 +42,8 @@ def populate_indicators(dataframe: DataFrame) -> DataFrame:
     dataframe['tema'] = ta.TEMA(dataframe, timeperiod=9)
     dataframe['mfi'] = ta.MFI(dataframe)
     dataframe['cci'] = ta.CCI(dataframe)
+    dataframe['ao'] = awesome_oscillator(dataframe)
+
     return dataframe
 
 
diff --git a/freqtrade/tests/test_hyperopt.py b/freqtrade/tests/test_hyperopt.py
index 9a9df78e9..ceefb06ac 100644
--- a/freqtrade/tests/test_hyperopt.py
+++ b/freqtrade/tests/test_hyperopt.py
@@ -7,6 +7,7 @@ from functools import reduce
 import pytest
 import arrow
 from pandas import DataFrame
+from qtpylib.indicators import crossed_above
 
 from hyperopt import fmin, tpe, hp
 
@@ -63,6 +64,7 @@ def buy_strategy_generator(params):
         triggers = {
             'lower_bb': dataframe['tema'] <= dataframe['blower'],
             'faststoch10': (dataframe['fastd'] >= 10) & (prev_fastd < 10),
+            'ao_cross_zero': (crossed_above(dataframe['ao'], 0.0)),
         }
         conditions.append(triggers.get(params['trigger']['type']))
 
@@ -124,7 +126,8 @@ def test_hyperopt(conf, pairs, mocker):
         ]),
         'trigger': hp.choice('trigger', [
             {'type': 'lower_bb'},
-            {'type': 'faststoch10'}
+            {'type': 'faststoch10'},
+            {'type': 'ao_cross_zero'}
         ]),
     }
     print('Best parameters {}'.format(fmin(fn=optimizer, space=space, algo=tpe.suggest, max_evals=40)))