Don't run the bot with python3 freqtrade

* we can either use `python3 -m freqtrade ...` or `freqtrade ...` - and
shorter should be better.
This commit is contained in:
Matthias 2019-07-08 17:00:34 +02:00
parent 87ff1e8cb0
commit c4fb0fd6ca
8 changed files with 29 additions and 29 deletions

View File

@ -24,37 +24,37 @@ The backtesting is very easy with freqtrade.
#### With 5 min tickers (Per default)
```bash
python3 freqtrade backtesting
freqtrade backtesting
```
#### With 1 min tickers
```bash
python3 freqtrade backtesting --ticker-interval 1m
freqtrade backtesting --ticker-interval 1m
```
#### Update cached pairs with the latest data
```bash
python3 freqtrade backtesting --refresh-pairs-cached
freqtrade backtesting --refresh-pairs-cached
```
#### With live data (do not alter your testdata files)
```bash
python3 freqtrade backtesting --live
freqtrade backtesting --live
```
#### Using a different on-disk ticker-data source
```bash
python3 freqtrade backtesting --datadir freqtrade/tests/testdata-20180101
freqtrade backtesting --datadir freqtrade/tests/testdata-20180101
```
#### With a (custom) strategy file
```bash
python3 freqtrade -s TestStrategy backtesting
freqtrade -s TestStrategy backtesting
```
Where `-s TestStrategy` refers to the class name within the strategy file `test_strategy.py` found in the `freqtrade/user_data/strategies` directory
@ -62,7 +62,7 @@ Where `-s TestStrategy` refers to the class name within the strategy file `test_
#### Exporting trades to file
```bash
python3 freqtrade backtesting --export trades
freqtrade backtesting --export trades
```
The exported trades can be used for [further analysis](#further-backtest-result-analysis), or can be used by the plotting script `plot_dataframe.py` in the scripts directory.
@ -70,7 +70,7 @@ The exported trades can be used for [further analysis](#further-backtest-result-
#### Exporting trades to file specifying a custom filename
```bash
python3 freqtrade backtesting --export trades --export-filename=backtest_teststrategy.json
freqtrade backtesting --export trades --export-filename=backtest_teststrategy.json
```
#### Running backtest with smaller testset
@ -81,7 +81,7 @@ you want to use. The last N ticks/timeframes will be used.
Example:
```bash
python3 freqtrade backtesting --timerange=-200
freqtrade backtesting --timerange=-200
```
#### Advanced use of timerange

View File

@ -49,7 +49,7 @@ The bot allows you to select which configuration file you want to use. Per
default, the bot will load the file `./config.json`
```bash
python3 freqtrade -c path/far/far/away/config.json
freqtrade -c path/far/far/away/config.json
```
### How to use multiple configuration files?
@ -65,13 +65,13 @@ empty key and secrete values while running in the Dry Mode (which does not actua
require them):
```bash
python3 freqtrade -c ./config.json
freqtrade -c ./config.json
```
and specify both configuration files when running in the normal Live Trade Mode:
```bash
python3 freqtrade -c ./config.json -c path/to/secrets/keys.config.json
freqtrade -c ./config.json -c path/to/secrets/keys.config.json
```
This could help you hide your private Exchange key and Exchange secrete on you local machine
@ -97,7 +97,7 @@ In `user_data/strategies` you have a file `my_awesome_strategy.py` which has
a strategy class called `AwesomeStrategy` to load it:
```bash
python3 freqtrade --strategy AwesomeStrategy
freqtrade --strategy AwesomeStrategy
```
If the bot does not find your strategy file, it will display in an error
@ -111,7 +111,7 @@ Learn more about strategy file in
This parameter allows you to add an additional strategy lookup path, which gets
checked before the default locations (The passed path must be a directory!):
```bash
python3 freqtrade --strategy AwesomeStrategy --strategy-path /some/directory
freqtrade --strategy AwesomeStrategy --strategy-path /some/directory
```
#### How to install a strategy?
@ -138,7 +138,7 @@ using `--db-url`. This can also be used to specify a custom database
in production mode. Example command:
```bash
python3 freqtrade -c config.json --db-url sqlite:///tradesv3.dry_run.sqlite
freqtrade -c config.json --db-url sqlite:///tradesv3.dry_run.sqlite
```
## Backtesting commands

View File

@ -13,14 +13,14 @@ on BaseVolume. This value can be changed when you run the script.
Get the 20 currencies based on BaseVolume.
```bash
python3 freqtrade --dynamic-whitelist
freqtrade --dynamic-whitelist
```
**Customize the number of currencies to retrieve**
Get the 30 currencies based on BaseVolume.
```bash
python3 freqtrade --dynamic-whitelist 30
freqtrade --dynamic-whitelist 30
```
**Exception**

View File

@ -209,7 +209,7 @@ Edge will remove sudden pumps in a given market while going through historical d
You can run Edge independently in order to see in details the result. Here is an example:
```bash
python3 freqtrade edge
freqtrade edge
```
An example of its output:
@ -235,19 +235,19 @@ An example of its output:
### Update cached pairs with the latest data
```bash
python3 freqtrade edge --refresh-pairs-cached
freqtrade edge --refresh-pairs-cached
```
### Precising stoploss range
```bash
python3 freqtrade edge --stoplosses=-0.01,-0.1,-0.001 #min,max,step
freqtrade edge --stoplosses=-0.01,-0.1,-0.001 #min,max,step
```
### Advanced use of timerange
```bash
python3 freqtrade edge --timerange=20181110-20181113
freqtrade edge --timerange=20181110-20181113
```
Doing `--timerange=-200` will get the last 200 timeframes from your inputdata. You can also specify specific dates, or a range span indexed by start and stop.

View File

@ -47,13 +47,13 @@ compute.
We recommend you to run it at least 10.000 epochs:
```bash
python3 freqtrade hyperopt -e 10000
freqtrade hyperopt -e 10000
```
or if you want intermediate result to see
```bash
for i in {1..100}; do python3 freqtrade hyperopt -e 100; done
for i in {1..100}; do freqtrade hyperopt -e 100; done
```
#### Why it is so long to run hyperopt?

View File

@ -158,7 +158,7 @@ Because hyperopt tries a lot of combinations to find the best parameters it will
We strongly recommend to use `screen` or `tmux` to prevent any connection loss.
```bash
python3 freqtrade -c config.json hyperopt --customhyperopt <hyperoptname> -e 5000 --spaces all
freqtrade -c config.json hyperopt --customhyperopt <hyperoptname> -e 5000 --spaces all
```
Use `<hyperoptname>` as the name of the custom hyperopt used.
@ -184,7 +184,7 @@ you want to use. The last N ticks/timeframes will be used.
Example:
```bash
python3 freqtrade hyperopt --timerange -200
freqtrade hyperopt --timerange -200
```
### Running Hyperopt with Smaller Search Space

View File

@ -184,7 +184,7 @@ python3 -m pip install -e .
If this is the first time you run the bot, ensure you are running it in Dry-run `"dry_run": true,` otherwise it will start to buy and sell coins.
```bash
python3 freqtrade -c config.json
freqtrade -c config.json
```
*Note*: If you run the bot on a server, you should consider using [Docker](docker.md) or a terminal multiplexer like `screen` or [`tmux`](https://en.wikipedia.org/wiki/Tmux) to avoid that the bot is stopped on logout.

View File

@ -13,7 +13,7 @@ Let assume you have a class called `AwesomeStrategy` in the file `awesome-strate
2. Start the bot with the param `--strategy AwesomeStrategy` (the parameter is the class name)
```bash
python3 freqtrade --strategy AwesomeStrategy
freqtrade --strategy AwesomeStrategy
```
## Change your strategy
@ -40,7 +40,7 @@ The bot also include a sample strategy called `TestStrategy` you can update: `us
You can test it with the parameter: `--strategy TestStrategy`
```bash
python3 freqtrade --strategy AwesomeStrategy
freqtrade --strategy AwesomeStrategy
```
**For the following section we will use the [user_data/strategies/test_strategy.py](https://github.com/freqtrade/freqtrade/blob/develop/user_data/strategies/test_strategy.py)
@ -400,7 +400,7 @@ The default buy strategy is located in the file
If you want to use a strategy from a different directory you can pass `--strategy-path`
```bash
python3 freqtrade --strategy AwesomeStrategy --strategy-path /some/directory
freqtrade --strategy AwesomeStrategy --strategy-path /some/directory
```
### Further strategy ideas