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UPdate documentation to remove --continue

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Matthias 2020-09-27 16:21:55 +02:00
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commit 7a652b07d5
2 changed files with 7 additions and 13 deletions
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5
docs/bot-usage.md
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@ -303,7 +303,7 @@ usage: freqtrade hyperopt [-h] [-v] [--logfile FILE] [-V] [-c PATH] [-d PATH]
[--spaces {all,buy,sell,roi,stoploss,trailing,default} [{all,buy,sell,roi,stoploss,trailing,default} ...]] [--spaces {all,buy,sell,roi,stoploss,trailing,default} [{all,buy,sell,roi,stoploss,trailing,default} ...]]
[--dmmp] [--print-all] [--no-color] [--print-json] [--dmmp] [--print-all] [--no-color] [--print-json]
[-j JOBS] [--random-state INT] [--min-trades INT] [-j JOBS] [--random-state INT] [--min-trades INT]
[--continue] [--hyperopt-loss NAME] [--hyperopt-loss NAME]
optional arguments: optional arguments:
-h, --help show this help message and exit -h, --help show this help message and exit
@ -349,9 +349,6 @@ optional arguments:
reproducible hyperopt results. reproducible hyperopt results.
--min-trades INT Set minimal desired number of trades for evaluations --min-trades INT Set minimal desired number of trades for evaluations
in the hyperopt optimization path (default: 1). in the hyperopt optimization path (default: 1).
--continue Continue hyperopt from previous runs. By default,
temporary files will be removed and hyperopt will
start from scratch.
--hyperopt-loss NAME Specify the class name of the hyperopt loss function --hyperopt-loss NAME Specify the class name of the hyperopt loss function
class (IHyperOptLoss). Different functions can class (IHyperOptLoss). Different functions can
generate completely different results, since the generate completely different results, since the

15
docs/hyperopt.md
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@ -102,7 +102,7 @@ There you have two different types of indicators: 1. `guards` and 2. `triggers`.
1. Guards are conditions like "never buy if ADX < 10", or never buy if current price is over EMA10. 1. Guards are conditions like "never buy if ADX < 10", or never buy if current price is over EMA10.
2. Triggers are ones that actually trigger buy in specific moment, like "buy when EMA5 crosses over EMA10" or "buy when close price touches lower Bollinger band". 2. Triggers are ones that actually trigger buy in specific moment, like "buy when EMA5 crosses over EMA10" or "buy when close price touches lower Bollinger band".
Hyperoptimization will, for each eval round, pick one trigger and possibly Hyper-optimization will, for each epoch round, pick one trigger and possibly
multiple guards. The constructed strategy will be something like multiple guards. The constructed strategy will be something like
"*buy exactly when close price touches lower Bollinger band, BUT only if "*buy exactly when close price touches lower Bollinger band, BUT only if
ADX > 10*". ADX > 10*".
@ -240,10 +240,7 @@ running at least several thousand evaluations.
The `--spaces all` option determines that all possible parameters should be optimized. Possibilities are listed below. The `--spaces all` option determines that all possible parameters should be optimized. Possibilities are listed below.
!!! Note !!! Note
By default, hyperopt will erase previous results and start from scratch. Continuation can be archived by using `--continue`. By default, hyperopt will erase previous results and start from scratch.
!!! Warning
When switching parameters or changing configuration options, make sure to not use the argument `--continue` so temporary results can be removed.
### Execute Hyperopt with different historical data source ### Execute Hyperopt with different historical data source
@ -253,7 +250,7 @@ uses data from directory `user_data/data`.
### Running Hyperopt with Smaller Testset ### Running Hyperopt with Smaller Testset
Use the `--timerange` argument to change how much of the testset you want to use. Use the `--timerange` argument to change how much of the test-set you want to use.
For example, to use one month of data, pass the following parameter to the hyperopt call: For example, to use one month of data, pass the following parameter to the hyperopt call:
```bash ```bash
@ -318,7 +315,7 @@ The initial state for generation of these random values (random state) is contro
If you have not set this value explicitly in the command line options, Hyperopt seeds the random state with some random value for you. The random state value for each Hyperopt run is shown in the log, so you can copy and paste it into the `--random-state` command line option to repeat the set of the initial random epochs used. If you have not set this value explicitly in the command line options, Hyperopt seeds the random state with some random value for you. The random state value for each Hyperopt run is shown in the log, so you can copy and paste it into the `--random-state` command line option to repeat the set of the initial random epochs used.
If you have not changed anything in the command line options, configuration, timerange, Strategy and Hyperopt classes, historical data and the Loss Function -- you should obtain same hyperoptimization results with same random state value used. If you have not changed anything in the command line options, configuration, timerange, Strategy and Hyperopt classes, historical data and the Loss Function -- you should obtain same hyper-optimization results with same random state value used.
## Understand the Hyperopt Result ## Understand the Hyperopt Result
@ -371,7 +368,7 @@ By default, hyperopt prints colorized results -- epochs with positive profit are
You can use the `--print-all` command line option if you would like to see all results in the hyperopt output, not only the best ones. When `--print-all` is used, current best results are also colorized by default -- they are printed in bold (bright) style. This can also be switched off with the `--no-color` command line option. You can use the `--print-all` command line option if you would like to see all results in the hyperopt output, not only the best ones. When `--print-all` is used, current best results are also colorized by default -- they are printed in bold (bright) style. This can also be switched off with the `--no-color` command line option.
!!! Note "Windows and color output" !!! Note "Windows and color output"
Windows does not support color-output nativly, therefore it is automatically disabled. To have color-output for hyperopt running under windows, please consider using WSL. Windows does not support color-output natively, therefore it is automatically disabled. To have color-output for hyperopt running under windows, please consider using WSL.
### Understand Hyperopt ROI results ### Understand Hyperopt ROI results
@ -494,7 +491,7 @@ Override the `trailing_space()` method and define the desired range in it if you
## Show details of Hyperopt results ## Show details of Hyperopt results
After you run Hyperopt for the desired amount of epochs, you can later list all results for analysis, select only best or profitable once, and show the details for any of the epochs previously evaluated. This can be done with the `hyperopt-list` and `hyperopt-show` subcommands. The usage of these subcommands is described in the [Utils](utils.md#list-hyperopt-results) chapter. After you run Hyperopt for the desired amount of epochs, you can later list all results for analysis, select only best or profitable once, and show the details for any of the epochs previously evaluated. This can be done with the `hyperopt-list` and `hyperopt-show` sub-commands. The usage of these sub-commands is described in the [Utils](utils.md#list-hyperopt-results) chapter.
## Validate backtesting results ## Validate backtesting results