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DefaultHyperOpts --> DefaultHyperOpt; hyperopts --> hyperopt where it's not correct

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hroff-1902
2019-10-18 23:29:19 +03:00
parent 9e23ca14d1
commit 4ec83a2c24
7 changed files with 19 additions and 19 deletions
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4
docs/bot-usage.md
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@@ -106,7 +106,7 @@ user_data/
├── backtest_results
├── data
├── hyperopts
├── hyperopts_results
├── hyperopt_results
├── plot
└── strategies
```
@@ -256,7 +256,7 @@ optional arguments:
entry and exit).
--customhyperopt NAME
Specify hyperopt class name (default:
`DefaultHyperOpts`).
`DefaultHyperOpt`).
--hyperopt-path PATH Specify additional lookup path for Hyperopts and
Hyperopt Loss functions.
--eps, --enable-position-stacking

4
docs/faq.md
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@@ -38,7 +38,7 @@ like pauses. You can stop your bot, adjust settings and start it again.
### I want to improve the bot with a new strategy
That's great. We have a nice backtesting and hyperoptimizing setup. See
That's great. We have a nice backtesting and hyperoptimization setup. See
the tutorial [here|Testing-new-strategies-with-Hyperopt](bot-usage.md#hyperopt-commands).
### Is there a setting to only SELL the coins being held and not perform anymore BUYS?
@@ -59,7 +59,7 @@ If you're a US customer, the bot will fail to create orders for these pairs, and
### How many epoch do I need to get a good Hyperopt result?
Per default Hyperopts without `-e` or `--epochs` parameter will only
Per default Hyperopt called without the `-e`/`--epochs` command line option will only
run 100 epochs, means 100 evals of your triggers, guards, ... Too few
to find a great result (unless if you are very lucky), so you probably
have to run it for 10.000 or more. But it will take an eternity to

12
docs/hyperopt.md
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@@ -10,12 +10,12 @@ Hyperopt requires historic data to be available, just as backtesting does.
To learn how to get data for the pairs and exchange you're interrested in, head over to the [Data Downloading](data-download.md) section of the documentation.
!!! Bug
Hyperopt will crash when used with only 1 CPU Core as found out in [Issue #1133](https://github.com/freqtrade/freqtrade/issues/1133)
Hyperopt can crash when used with only 1 CPU Core as found out in [Issue #1133](https://github.com/freqtrade/freqtrade/issues/1133)
## Prepare Hyperopting
Before we start digging into Hyperopt, we recommend you to take a look at
an example hyperopt file located into [user_data/hyperopts/](https://github.com/freqtrade/freqtrade/blob/develop/user_data/hyperopts/sample_hyperopt.py)
the sample hyperopt file located in [user_data/hyperopts/](https://github.com/freqtrade/freqtrade/blob/develop/user_data/hyperopts/sample_hyperopt.py).
Configuring hyperopt is similar to writing your own strategy, and many tasks will be similar and a lot of code can be copied across from the strategy.
@@ -64,9 +64,9 @@ multiple guards. The constructed strategy will be something like
"*buy exactly when close price touches lower bollinger band, BUT only if
ADX > 10*".
If you have updated the buy strategy, ie. changed the contents of
`populate_buy_trend()` method you have to update the `guards` and
`triggers` hyperopts must use.
If you have updated the buy strategy, i.e. changed the contents of
`populate_buy_trend()` method, you have to update the `guards` and
`triggers` your hyperopt must use correspondingly.
#### Sell optimization
@@ -82,7 +82,7 @@ To avoid naming collisions in the search-space, please prefix all sell-spaces wi
#### Using ticker-interval as part of the Strategy
The Strategy exposes the ticker-interval as `self.ticker_interval`. The same value is available as class-attribute `HyperoptName.ticker_interval`.
In the case of the linked sample-value this would be `SampleHyperOpts.ticker_interval`.
In the case of the linked sample-value this would be `SampleHyperOpt.ticker_interval`.
## Solving a Mystery