Merge pull request #1696 from freqtrade/docs/1521

Update documentation with correct way of calling
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Misagh 2019-03-24 17:06:46 +01:00 committed by GitHub
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10 changed files with 50 additions and 36 deletions

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@ -33,11 +33,11 @@ jobs:
name: pytest
- script:
- cp config.json.example config.json
- python freqtrade/main.py --datadir freqtrade/tests/testdata backtesting
- python freqtrade --datadir freqtrade/tests/testdata backtesting
name: backtest
- script:
- cp config.json.example config.json
- python freqtrade/main.py --datadir freqtrade/tests/testdata hyperopt -e 5
- python freqtrade --datadir freqtrade/tests/testdata hyperopt -e 5
name: hyperopt
- script: flake8 freqtrade
name: flake8

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@ -24,37 +24,37 @@ The backtesting is very easy with freqtrade.
#### With 5 min tickers (Per default)
```bash
python3 ./freqtrade/main.py backtesting
python3 freqtrade backtesting
```
#### With 1 min tickers
```bash
python3 ./freqtrade/main.py backtesting --ticker-interval 1m
python3 freqtrade backtesting --ticker-interval 1m
```
#### Update cached pairs with the latest data
```bash
python3 ./freqtrade/main.py backtesting --refresh-pairs-cached
python3 freqtrade backtesting --refresh-pairs-cached
```
#### With live data (do not alter your testdata files)
```bash
python3 ./freqtrade/main.py backtesting --live
python3 freqtrade backtesting --live
```
#### Using a different on-disk ticker-data source
```bash
python3 ./freqtrade/main.py backtesting --datadir freqtrade/tests/testdata-20180101
python3 freqtrade backtesting --datadir freqtrade/tests/testdata-20180101
```
#### With a (custom) strategy file
```bash
python3 ./freqtrade/main.py -s TestStrategy backtesting
python3 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/main.py backtesting --export trades
python3 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 folder.
@ -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/main.py backtesting --export trades --export-filename=backtest_teststrategy.json
python3 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/main.py backtesting --timerange=-200
python3 freqtrade backtesting --timerange=-200
```
#### Advanced use of timerange

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@ -14,7 +14,7 @@ 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/main.py --strategy AwesomeStrategy
python3 freqtrade --strategy AwesomeStrategy
```
## Change your strategy
@ -41,7 +41,7 @@ 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/main.py --strategy AwesomeStrategy
python3 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)
@ -355,7 +355,7 @@ The default buy strategy is located in the file
If you want to use a strategy from a different folder you can pass `--strategy-path`
```bash
python3 ./freqtrade/main.py --strategy AwesomeStrategy --strategy-path /some/folder
python3 freqtrade --strategy AwesomeStrategy --strategy-path /some/folder
```
### Further strategy ideas

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@ -47,7 +47,7 @@ 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/main.py -c path/far/far/away/config.json
python3 freqtrade -c path/far/far/away/config.json
```
### How to use multiple configuration files?
@ -63,13 +63,13 @@ empty key and secrete values while running in the Dry Mode (which does not actua
require them):
```bash
python3 ./freqtrade/main.py -c ./config.json
python3 freqtrade -c ./config.json
```
and specify both configuration files when running in the normal Live Trade Mode:
```bash
python3 ./freqtrade/main.py -c ./config.json -c path/to/secrets/keys.config.json
python3 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
@ -95,7 +95,7 @@ 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/main.py --strategy AwesomeStrategy
python3 freqtrade --strategy AwesomeStrategy
```
If the bot does not find your strategy file, it will display in an error
@ -109,7 +109,7 @@ 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 folder!):
```bash
python3 ./freqtrade/main.py --strategy AwesomeStrategy --strategy-path /some/folder
python3 freqtrade --strategy AwesomeStrategy --strategy-path /some/folder
```
#### How to install a strategy?
@ -136,7 +136,7 @@ using `--db-url`. This can also be used to specify a custom database
in production mode. Example command:
```bash
python3 ./freqtrade/main.py -c config.json --db-url sqlite:///tradesv3.dry_run.sqlite
python3 freqtrade -c config.json --db-url sqlite:///tradesv3.dry_run.sqlite
```
## Backtesting commands

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@ -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/main.py --dynamic-whitelist
python3 freqtrade --dynamic-whitelist
```
**Customize the number of currencies to retrieve**
Get the 30 currencies based on BaseVolume.
```bash
python3 ./freqtrade/main.py --dynamic-whitelist 30
python3 freqtrade --dynamic-whitelist 30
```
**Exception**

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@ -146,16 +146,19 @@ Percentage of allowed risk per trade.
(defaults to 0.01 so 1%)
#### stoploss_range_min
Minimum stoploss.
(defaults to -0.01)
#### stoploss_range_max
Maximum stoploss.
(defaults to -0.10)
#### stoploss_range_step
As an example if this is set to -0.01 then Edge will test the strategy for \[-0.01, -0,02, -0,03 ..., -0.09, -0.10\] ranges.
Note than having a smaller step means having a bigger range which could lead to slow calculation.
@ -164,6 +167,7 @@ If you set this parameter to -0.001, you then slow down the Edge calculation by
(defaults to -0.01)
#### minimum_winrate
It filters out pairs which don't have at least minimum_winrate.
This comes handy if you want to be conservative and don't comprise win rate in favour of risk reward ratio.
@ -171,6 +175,7 @@ This comes handy if you want to be conservative and don't comprise win rate in f
(defaults to 0.60)
#### minimum_expectancy
It filters out pairs which have the expectancy lower than this number.
Having an expectancy of 0.20 means if you put 10$ on a trade you expect a 12$ return.
@ -178,6 +183,7 @@ Having an expectancy of 0.20 means if you put 10$ on a trade you expect a 12$ re
(defaults to 0.20)
#### min_trade_number
When calculating *W*, *R* and *E* (expectancy) against historical data, you always want to have a minimum number of trades. The more this number is the more Edge is reliable.
Having a win rate of 100% on a single trade doesn't mean anything at all. But having a win rate of 70% over past 100 trades means clearly something.
@ -185,6 +191,7 @@ Having a win rate of 100% on a single trade doesn't mean anything at all. But ha
(defaults to 10, it is highly recommended not to decrease this number)
#### max_trade_duration_minute
Edge will filter out trades with long duration. If a trade is profitable after 1 month, it is hard to evaluate the strategy based on it. But if most of trades are profitable and they have maximum duration of 30 minutes, then it is clearly a good sign.
**NOTICE:** While configuring this value, you should take into consideration your ticker interval. As an example filtering out trades having duration less than one day for a strategy which has 4h interval does not make sense. Default value is set assuming your strategy interval is relatively small (1m or 5m, etc.).
@ -192,15 +199,17 @@ Edge will filter out trades with long duration. If a trade is profitable after 1
(defaults to 1 day, i.e. to 60 * 24 = 1440 minutes)
#### remove_pumps
Edge will remove sudden pumps in a given market while going through historical data. However, given that pumps happen very often in crypto markets, we recommend you keep this off.
(defaults to false)
## Running Edge independently
You can run Edge independently in order to see in details the result. Here is an example:
```bash
python3 ./freqtrade/main.py edge
python3 freqtrade edge
```
An example of its output:
@ -224,18 +233,21 @@ An example of its output:
| NEBL/BTC | -0.03 | 0.63 | 1.29 | 0.58 | 0.44 | 19 | 59 |
### Update cached pairs with the latest data
```bash
python3 ./freqtrade/main.py edge --refresh-pairs-cached
python3 freqtrade edge --refresh-pairs-cached
```
### Precising stoploss range
```bash
python3 ./freqtrade/main.py edge --stoplosses=-0.01,-0.1,-0.001 #min,max,step
python3 freqtrade edge --stoplosses=-0.01,-0.1,-0.001 #min,max,step
```
### Advanced use of timerange
```bash
python3 ./freqtrade/main.py edge --timerange=20181110-20181113
python3 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.

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@ -46,22 +46,24 @@ have to run it for 10.000 or more. But it will take an eternity to
compute.
We recommend you to run it at least 10.000 epochs:
```bash
python3 ./freqtrade/main.py hyperopt -e 10000
python3 freqtrade hyperopt -e 10000
```
or if you want intermediate result to see
```bash
for i in {1..100}; do python3 ./freqtrade/main.py hyperopt -e 100; done
for i in {1..100}; do python3 freqtrade hyperopt -e 100; done
```
#### Why it is so long to run hyperopt?
Finding a great Hyperopt results takes time.
If you wonder why it takes a while to find great hyperopt results
This answer was written during the under the release 0.15.1, when we had
:
This answer was written during the under the release 0.15.1, when we had:
- 8 triggers
- 9 guards: let's say we evaluate even 10 values from each
- 1 stoploss calculation: let's say we want 10 values from that too to

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@ -152,7 +152,7 @@ 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/main.py -c config.json hyperopt --customhyperopt <hyperoptname> -e 5000 --spaces all
python3 freqtrade -c config.json hyperopt --customhyperopt <hyperoptname> -e 5000 --spaces all
```
Use `<hyperoptname>` as the name of the custom hyperopt used.
@ -178,7 +178,7 @@ you want to use. The last N ticks/timeframes will be used.
Example:
```bash
python3 ./freqtrade/main.py hyperopt --timerange -200
python3 freqtrade hyperopt --timerange -200
```
### Running Hyperopt with Smaller Search Space

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@ -407,7 +407,7 @@ pip3 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
python3.6 ./freqtrade/main.py -c config.json
python3.6 freqtrade -c config.json
```
*Note*: If you run the bot on a server, you should consider using [Docker](#automatic-installation---docker) a terminal multiplexer like `screen` or [`tmux`](https://en.wikipedia.org/wiki/Tmux) to avoid that the bot is stopped on logout.

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@ -235,7 +235,7 @@ function install() {
echo "-------------------------"
echo "Run the bot !"
echo "-------------------------"
echo "You can now use the bot by executing 'source .env/bin/activate; python freqtrade/main.py'."
echo "You can now use the bot by executing 'source .env/bin/activate; python freqtrade'."
}
function plot() {