Merge branch 'develop' into pr/iuvbio/1563

.travis.yml

@@ -27,7 +27,6 @@ jobs:
     - stage: tests
       script:
       - pytest --cov=freqtrade --cov-config=.coveragerc freqtrade/tests/
-      - coveralls
       name: pytest
     - script:
       - cp config.json.example config.json
@@ -48,6 +47,8 @@ jobs:
         - build_helpers/publish_docker.sh
       name: "Build and test and push docker image"
 
+after_success:
+  - coveralls
 
 notifications:
   slack:

docs/installation.md

@@ -115,10 +115,16 @@ Once you have Docker installed, simply create the config file (e.g. `config.json
 
 **1.1. Clone the git repository**
 
+Linux/Mac/Windows with WSL
 ```bash
 git clone https://github.com/freqtrade/freqtrade.git
 ```
 
+Windows with docker
+```bash
+git clone --config core.autocrlf=input https://github.com/freqtrade/freqtrade.git
+```
+
 **1.2. (Optional) Checkout the develop branch**
 
 ```bash

freqtrade/constants.py

@@ -67,6 +67,7 @@ CONF_SCHEMA = {
             },
             'minProperties': 1
         },
+        'amount_reserve_percent': {'type': 'number', 'minimum': 0.0, 'maximum': 0.5},
         'stoploss': {'type': 'number', 'maximum': 0, 'exclusiveMaximum': True},
         'trailing_stop': {'type': 'boolean'},
         'trailing_stop_positive': {'type': 'number', 'minimum': 0, 'maximum': 1},

freqtrade/exchange/__init__.py

@@ -160,7 +160,6 @@ class Exchange(object):
         return self._api.id
 
     def klines(self, pair_interval: Tuple[str, str], copy=True) -> DataFrame:
-        # create key tuple
         if pair_interval in self._klines:
             return self._klines[pair_interval].copy() if copy else self._klines[pair_interval]
         else:
@@ -547,14 +546,10 @@ class Exchange(object):
 
         input_coroutines = []
 
-        # Gather corotines to run
+        # Gather coroutines to run
         for pair, ticker_interval in set(pair_list):
-            # Calculating ticker interval in second
+            if (not ((pair, ticker_interval) in self._klines)
-            interval_in_sec = constants.TICKER_INTERVAL_MINUTES[ticker_interval] * 60
+                    or self._now_is_time_to_refresh(pair, ticker_interval)):
-
-            if not ((self._pairs_last_refresh_time.get((pair, ticker_interval), 0)
-                     + interval_in_sec) >= arrow.utcnow().timestamp
-                    and (pair, ticker_interval) in self._klines):
                 input_coroutines.append(self._async_get_candle_history(pair, ticker_interval))
             else:
                 logger.debug("Using cached ohlcv data for %s, %s ...", pair, ticker_interval)
@@ -578,6 +573,13 @@ class Exchange(object):
                 ticks, tick_interval, fill_missing=True)
         return tickers
 
+    def _now_is_time_to_refresh(self, pair: str, ticker_interval: str) -> bool:
+        # Calculating ticker interval in seconds
+        interval_in_sec = constants.TICKER_INTERVAL_MINUTES[ticker_interval] * 60
+
+        return not ((self._pairs_last_refresh_time.get((pair, ticker_interval), 0)
+                    + interval_in_sec) >= arrow.utcnow().timestamp)
+
     @retrier_async
     async def _async_get_candle_history(self, pair: str, tick_interval: str,
                                         since_ms: Optional[int] = None) -> Tuple[str, str, List]:

requirements-dev.txt

@@ -1,12 +1,12 @@
 # Include all requirements to run the bot.
 -r requirements.txt
 
-flake8==3.7.5
+flake8==3.7.6
 flake8-type-annotations==0.1.0
 flake8-tidy-imports==2.0.0
-pytest==4.2.1
+pytest==4.3.0
 pytest-mock==1.10.1
 pytest-asyncio==0.10.0
 pytest-cov==2.6.1
-coveralls==1.5.1
+coveralls==1.6.0
 mypy==0.670

requirements.txt

@@ -1,4 +1,4 @@
-ccxt==1.18.247
+ccxt==1.18.270
 SQLAlchemy==1.2.18
 python-telegram-bot==11.1.0
 arrow==0.13.1