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Merge branch 'develop' into download_module

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Matthias
2019-08-20 06:49:18 +02:00
parent 8d1a575a9b c63856dac4
commit e8ee087e9d
25 changed files with 315 additions and 239 deletions
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4
docs/docker.md
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@@ -26,6 +26,10 @@ To update the image, simply run the above commands again and restart your runnin
Should you require additional libraries, please [build the image yourself](#build-your-own-docker-image).
!!! Note Docker image update frequency
The official docker images with tags `master`, `develop` and `latest` are automatically rebuild once a week to keep the base image uptodate.
In addition to that, every merge to `develop` will trigger a rebuild for `develop` and `latest`.
### Prepare the configuration files
Even though you will use docker, you'll still need some files from the github repository.

23
docs/strategy-customization.md
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@@ -274,27 +274,24 @@ Please always check the mode of operation to select the correct method to get da
#### Possible options for DataProvider
- `available_pairs` - Property with tuples listing cached pairs with their intervals. (pair, interval)
- `ohlcv(pair, ticker_interval)` - Currently cached ticker data for all pairs in the whitelist, returns DataFrame or empty DataFrame
- `historic_ohlcv(pair, ticker_interval)` - Data stored on disk
- `available_pairs` - Property with tuples listing cached pairs with their intervals (pair, interval).
- `ohlcv(pair, ticker_interval)` - Currently cached ticker data for the pair, returns DataFrame or empty DataFrame.
- `historic_ohlcv(pair, ticker_interval)` - Returns historical data stored on disk.
- `get_pair_dataframe(pair, ticker_interval)` - This is a universal method, which returns either historical data (for backtesting) or cached live data (for the Dry-Run and Live-Run modes).
- `runmode` - Property containing the current runmode.
#### ohlcv / historic_ohlcv
#### Example: fetch live ohlcv / historic data for the first informative pair
``` python
if self.dp:
if self.dp.runmode in ('live', 'dry_run'):
if (f'{self.stake_currency}/BTC', self.ticker_interval) in self.dp.available_pairs:
data_eth = self.dp.ohlcv(pair='{self.stake_currency}/BTC',
ticker_interval=self.ticker_interval)
else:
# Get historic ohlcv data (cached on disk).
history_eth = self.dp.historic_ohlcv(pair='{self.stake_currency}/BTC',
ticker_interval='1h')
inf_pair, inf_timeframe = self.informative_pairs()[0]
informative = self.dp.get_pair_dataframe(pair=inf_pair,
ticker_interval=inf_timeframe)
```
!!! Warning Warning about backtesting
Be carefull when using dataprovider in backtesting. `historic_ohlcv()` provides the full time-range in one go,
Be carefull when using dataprovider in backtesting. `historic_ohlcv()` (and `get_pair_dataframe()`
for the backtesting runmode) provides the full time-range in one go,
so please be aware of it and make sure to not "look into the future" to avoid surprises when running in dry/live mode).
!!! Warning Warning in hyperopt