analyze to use the ccxt OHLCV format

setup: remove bittrex and add requirement to ccxt

freqtradebot: update market summaries to ccxt format

freqtrade/analyze.py

@@ -44,12 +44,13 @@ class Analyze(object):
         :param ticker: See exchange.get_ticker_history
         :return: DataFrame
         """
-        columns = {'C': 'close', 'V': 'volume', 'O': 'open', 'H': 'high', 'L': 'low', 'T': 'date'}
+        cols = ['date', 'open', 'high', 'low', 'close', 'volume']
-        frame = DataFrame(ticker) \
+        frame = DataFrame(ticker, columns=cols)
-            .rename(columns=columns)
+
-        if 'BV' in frame:
+        frame['date'] = to_datetime(frame['date'],
-            frame.drop('BV', 1, inplace=True)
+                                    unit='ms',
-        frame['date'] = to_datetime(frame['date'], utc=True, infer_datetime_format=True)
+                                    utc=True,
+                                    infer_datetime_format=True)
         frame.sort_values('date', inplace=True)
         return frame
 

freqtrade/freqtradebot.py

@@ -208,13 +208,12 @@ class FreqtradeBot(object):
         :return: List of pairs
         """
         summaries = sorted(
-            (s for s in exchange.get_market_summaries() if
+            (v for s, v in exchange.get_market_summaries().items() if v['symbol'].endswith(base_currency)),
-             s['MarketName'].startswith(base_currency)),
+            key=lambda v: v.get('info').get(key) or 0.0,
-            key=lambda s: s.get(key) or 0.0,
             reverse=True
         )
 
-        return [s['MarketName'].replace('-', '_') for s in summaries]
+        return [s['symbol'] for s in summaries]
 
     def _refresh_whitelist(self, whitelist: List[str]) -> List[str]:
         """
@@ -227,15 +226,15 @@ class FreqtradeBot(object):
         sanitized_whitelist = whitelist
         health = exchange.get_wallet_health()
         known_pairs = set()
-        for status in health:
+        for symbol, status in health.items():
-            pair = '{}_{}'.format(self.config['stake_currency'], status['Currency'])
+            pair = f"{status['base']}/{self.config['stake_currency']}"
             # pair is not int the generated dynamic market, or in the blacklist ... ignore it
             if pair not in whitelist or pair in self.config['exchange'].get('pair_blacklist', []):
                 continue
             # else the pair is valid
             known_pairs.add(pair)
             # Market is not active
-            if not status['IsActive']:
+            if not status['active']:
                 sanitized_whitelist.remove(pair)
                 self.logger.info(
                     'Ignoring %s from whitelist (reason: %s).',
@@ -328,7 +327,7 @@ class FreqtradeBot(object):
             pair=pair,
             stake_amount=stake_amount,
             amount=amount,
-            fee=exchange.get_fee(),
+            fee=exchange.get_fee_maker(),
             open_rate=buy_limit,
             open_date=datetime.utcnow(),
             exchange=exchange.get_name().upper(),

scripts/plot_dataframe.py

@@ -55,7 +55,7 @@ def plot_analyzed_dataframe(args: Namespace) -> None:
     if args.live:
         logger.info('Downloading pair.')
         # Init Bittrex to use public API
-        exchange._API = exchange.Bittrex({'key': '', 'secret': ''})
+        exchange.init({'key': '', 'secret': ''})
         tickers[pair] = exchange.get_ticker_history(pair, tick_interval)
     else:
         tickers = optimize.load_data(

setup.py

@@ -21,7 +21,7 @@ setup(name='freqtrade',
       setup_requires=['pytest-runner'],
       tests_require=['pytest', 'pytest-mock', 'pytest-cov'],
       install_requires=[
-          'python-bittrex',
+          'ccxt',
           'SQLAlchemy',
           'python-telegram-bot',
           'arrow',