Merge branch 'develop' into feature/objectify

.gitignore

@@ -88,3 +88,5 @@ target/
 .venv
 .idea
 .vscode
+
+.pytest_cache/

Dockerfile

@@ -1,7 +1,7 @@
-FROM python:3.6.2
+FROM python:3.6.4-slim-stretch
 
 # Install TA-lib
-RUN apt-get update && apt-get -y install build-essential && apt-get clean
+RUN apt-get update && apt-get -y install curl build-essential && apt-get clean
 RUN curl -L http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz | \
   tar xzvf - && \
   cd ta-lib && \

README.md

@@ -2,6 +2,7 @@
 
 [![Build Status](https://travis-ci.org/gcarq/freqtrade.svg?branch=develop)](https://travis-ci.org/gcarq/freqtrade)
 [![Coverage Status](https://coveralls.io/repos/github/gcarq/freqtrade/badge.svg?branch=develop&service=github)](https://coveralls.io/github/gcarq/freqtrade?branch=develop)
+[![Maintainability](https://api.codeclimate.com/v1/badges/5737e6d668200b7518ff/maintainability)](https://codeclimate.com/github/gcarq/freqtrade/maintainability)
 
 
 Simple High frequency trading bot for crypto currencies designed to 
@@ -104,7 +105,7 @@ vi config.json
 **3. Build your docker image and run it**
 ```bash
 docker build -t freqtrade .
-docker run --rm -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
+docker run --rm -v /etc/localtime:/etc/localtime:ro -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
 ```
 
 

docs/backtesting.md

@@ -53,13 +53,13 @@ python3 ./freqtrade/main.py backtesting --datadir freqtrade/tests/testdata-20180
 
 **With a (custom) strategy file**
 ```bash
-python3.6 ./freqtrade/main.py -s currentstrategy backtesting
+python3 ./freqtrade/main.py -s currentstrategy backtesting
 ```
 Where `-s currentstrategy` refers to a filename `currentstrategy.py` in `freqtrade/user_data/strategies`
 
 **Exporting trades to file**
 ```bash
-freqtrade backtesting --export trades
+python3 ./freqtrade/main.py backtesting --export trades
 ```
 
 **Running backtest with smaller testset**  
@@ -99,7 +99,7 @@ cd user_data/data-20180113
 Possibly edit pairs.json file to include/exclude pairs
 
 ```bash
-python freqtrade/tests/testdata/download_backtest_data.py -p pairs.json
+python3 freqtrade/tests/testdata/download_backtest_data.py -p pairs.json
 ```
 
 The script will read your pairs.json file, and download ticker data

docs/installation.md

@@ -129,7 +129,7 @@ docker images
 You can run a one-off container that is immediately deleted upon exiting with the following command (`config.json` must be in the current working directory):
 
 ```bash
-docker run --rm -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
+docker run --rm -v /etc/localtime:/etc/localtime:ro -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
 ```
 
 In this example, the database will be created inside the docker instance and will be lost when you will refresh your image.
@@ -152,6 +152,7 @@ mv tradesv3.sqlite ~/.freqtrade
 ```bash
 docker run -d \
   --name freqtrade \
+  -v /etc/localtime:/etc/localtime:ro \
   -v ~/.freqtrade/config.json:/freqtrade/config.json \
   -v ~/.freqtrade/tradesv3.sqlite:/freqtrade/tradesv3.sqlite \
   freqtrade

docs/plotting.md

@@ -73,5 +73,5 @@ The `-p` pair argument, can be used to plot a single pair
 
 Example
 ```
-python3.6 scripts/plot_profit.py --datadir ../freqtrade/freqtrade/tests/testdata-20171221/ -p BTC_LTC
+python3 scripts/plot_profit.py --datadir ../freqtrade/freqtrade/tests/testdata-20171221/ -p BTC_LTC
 ```

docs/pre-requisite.md

@@ -15,7 +15,7 @@ The only things you need is a working Telegram bot and its API token.
 Below we explain how to create your Telegram Bot, and how to get your
 Telegram user id.
 
-### 1. Create your instagram bot
+### 1. Create your Telegram bot
 **1.1. Start a chat with https://telegram.me/BotFather**  
 **1.2. Send the message** `/newbot`  
 *BotFather response:*

freqtrade/tests/optimize/test_hyperopt.py

@@ -79,6 +79,7 @@ def test_loss_calculation_prefer_correct_trade_count() -> None:
     Test Hyperopt.calculate_loss()
     """
     hyperopt = _HYPEROPT
+    Strategy({'strategy': 'default_strategy'})
 
     correct = hyperopt.calculate_loss(1, hyperopt.target_trades, 20)
     over = hyperopt.calculate_loss(1, hyperopt.target_trades + 100, 20)
@@ -169,10 +170,10 @@ def test_fmin_best_results(mocker, default_conf, caplog) -> None:
     mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf', return_value=conf)
     mocker.patch('freqtrade.logger.Logger.set_format', MagicMock())
 
+    Strategy({'strategy': 'default_strategy'})
     hyperopt = Hyperopt(conf)
     hyperopt.trials = create_trials(mocker)
     hyperopt.tickerdata_to_dataframe = MagicMock()
-    Strategy({'strategy': 'default_strategy'})
     hyperopt.start()
 
     exists = [

requirements.txt

@@ -1,6 +1,6 @@
 python-bittrex==0.3.0
-SQLAlchemy==1.2.4
-python-telegram-bot==9.0.0
+SQLAlchemy==1.2.5
+python-telegram-bot==10.0.1
 arrow==0.12.1
 cachetools==2.0.1
 requests==2.18.4
@@ -10,8 +10,8 @@ pandas==0.22.0
 scikit-learn==0.19.1
 scipy==1.0.0
 jsonschema==2.6.0
-numpy==1.14.1
-TA-Lib==0.4.16
+numpy==1.14.2
+TA-Lib==0.4.17
 pytest==3.4.2
 pytest-mock==1.7.1
 pytest-cov==2.5.1