Merge branch 'develop' into margin-db
This commit is contained in:
@@ -11,6 +11,37 @@ Per default, the bot loads the configuration from the `config.json` file, locate
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You can specify a different configuration file used by the bot with the `-c/--config` command-line option.
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If you used the [Quick start](installation.md/#quick-start) method for installing
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the bot, the installation script should have already created the default configuration file (`config.json`) for you.
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If the default configuration file is not created we recommend to use `freqtrade new-config --config config.json` to generate a basic configuration file.
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The Freqtrade configuration file is to be written in JSON format.
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Additionally to the standard JSON syntax, you may use one-line `// ...` and multi-line `/* ... */` comments in your configuration files and trailing commas in the lists of parameters.
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Do not worry if you are not familiar with JSON format -- simply open the configuration file with an editor of your choice, make some changes to the parameters you need, save your changes and, finally, restart the bot or, if it was previously stopped, run it again with the changes you made to the configuration. The bot validates the syntax of the configuration file at startup and will warn you if you made any errors editing it, pointing out problematic lines.
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### Environment variables
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Set options in the Freqtrade configuration via environment variables.
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This takes priority over the corresponding value in configuration or strategy.
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Environment variables must be prefixed with `FREQTRADE__` to be loaded to the freqtrade configuration.
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`__` serves as level separator, so the format used should correspond to `FREQTRADE__{section}__{key}`.
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As such - an environment variable defined as `export FREQTRADE__STAKE_AMOUNT=200` would result in `{stake_amount: 200}`.
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A more complex example might be `export FREQTRADE__EXCHANGE__KEY=<yourExchangeKey>` to keep your exchange key secret. This will move the value to the `exchange.key` section of the configuration.
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Using this scheme, all configuration settings will also be available as environment variables.
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Please note that Environment variables will overwrite corresponding settings in your configuration, but command line Arguments will always win.
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!!! Note
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Environment variables detected are logged at startup - so if you can't find why a value is not what you think it should be based on the configuration, make sure it's not loaded from an environment variable.
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### Multiple configuration files
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Multiple configuration files can be specified and used by the bot or the bot can read its configuration parameters from the process standard input stream.
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!!! Tip "Use multiple configuration files to keep secrets secret"
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@@ -22,17 +53,6 @@ Multiple configuration files can be specified and used by the bot or the bot can
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The 2nd file should only specify what you intend to override.
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If a key is in more than one of the configurations, then the "last specified configuration" wins (in the above example, `config-private.json`).
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If you used the [Quick start](installation.md/#quick-start) method for installing
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the bot, the installation script should have already created the default configuration file (`config.json`) for you.
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If the default configuration file is not created we recommend you to use `freqtrade new-config --config config.json` to generate a basic configuration file.
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The Freqtrade configuration file is to be written in JSON format.
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Additionally to the standard JSON syntax, you may use one-line `// ...` and multi-line `/* ... */` comments in your configuration files and trailing commas in the lists of parameters.
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Do not worry if you are not familiar with JSON format -- simply open the configuration file with an editor of your choice, make some changes to the parameters you need, save your changes and, finally, restart the bot or, if it was previously stopped, run it again with the changes you made to the configuration. The bot validates the syntax of the configuration file at startup and will warn you if you made any errors editing it, pointing out problematic lines.
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## Configuration parameters
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The table below will list all configuration parameters available.
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@@ -41,6 +61,7 @@ Freqtrade can also load many options via command line (CLI) arguments (check out
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The prevalence for all Options is as follows:
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- CLI arguments override any other option
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- [Environment Variables](#environment-variables)
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- Configuration files are used in sequence (the last file wins) and override Strategy configurations.
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- Strategy configurations are only used if they are not set via configuration or command-line arguments. These options are marked with [Strategy Override](#parameters-in-the-strategy) in the below table.
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@@ -526,9 +547,10 @@ Once you will be happy with your bot performance running in the Dry-run mode, yo
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## Switch to production mode
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In production mode, the bot will engage your money. Be careful, since a wrong
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strategy can lose all your money. Be aware of what you are doing when
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you run it in production mode.
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In production mode, the bot will engage your money. Be careful, since a wrong strategy can lose all your money.
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Be aware of what you are doing when you run it in production mode.
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When switching to Production mode, please make sure to use a different / fresh database to avoid dry-run trades messing with your exchange money and eventually tainting your statistics.
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### Setup your exchange account
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@@ -24,82 +24,21 @@ Freqtrade provides an official Docker image on [Dockerhub](https://hub.docker.co
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Create a new directory and place the [docker-compose file](https://raw.githubusercontent.com/freqtrade/freqtrade/stable/docker-compose.yml) in this directory.
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=== "PC/MAC/Linux"
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``` bash
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mkdir ft_userdata
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cd ft_userdata/
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# Download the docker-compose file from the repository
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curl https://raw.githubusercontent.com/freqtrade/freqtrade/stable/docker-compose.yml -o docker-compose.yml
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``` bash
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mkdir ft_userdata
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cd ft_userdata/
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# Download the docker-compose file from the repository
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curl https://raw.githubusercontent.com/freqtrade/freqtrade/stable/docker-compose.yml -o docker-compose.yml
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# Pull the freqtrade image
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docker-compose pull
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# Pull the freqtrade image
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docker-compose pull
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# Create user directory structure
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docker-compose run --rm freqtrade create-userdir --userdir user_data
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# Create user directory structure
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docker-compose run --rm freqtrade create-userdir --userdir user_data
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# Create configuration - Requires answering interactive questions
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docker-compose run --rm freqtrade new-config --config user_data/config.json
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```
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=== "RaspberryPi"
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``` bash
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mkdir ft_userdata
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cd ft_userdata/
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# Download the docker-compose file from the repository
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curl https://raw.githubusercontent.com/freqtrade/freqtrade/stable/docker-compose.yml -o docker-compose.yml
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# Edit the compose file to use an image named `*_pi` (stable_pi or develop_pi)
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# Pull the freqtrade image
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docker-compose pull
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# Create user directory structure
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docker-compose run --rm freqtrade create-userdir --userdir user_data
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# Create configuration - Requires answering interactive questions
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docker-compose run --rm freqtrade new-config --config user_data/config.json
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```
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!!! Note "Change your docker Image"
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You have to change the docker image in the docker-compose file for your Raspberry build to work properly.
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``` yml
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image: freqtradeorg/freqtrade:stable_pi
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# image: freqtradeorg/freqtrade:develop_pi
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```
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=== "ARM 64 Systenms (Mac M1, Raspberry Pi 4, Jetson Nano)"
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In case of a Mac M1, make sure that your docker installation is running in native mode
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Arm64 images are not yet provided via Docker Hub and need to be build locally first.
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Depending on the device, this may take a few minutes (Apple M1) or multiple hours (Raspberry Pi)
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``` bash
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# Clone Freqtrade repository
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git clone https://github.com/freqtrade/freqtrade.git
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cd freqtrade
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# Optionally switch to the stable version
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git checkout stable
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# Modify your docker-compose file to enable building and change the image name
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# (see the Note Box below for necessary changes)
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# Build image
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docker-compose build
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# Create user directory structure
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docker-compose run --rm freqtrade create-userdir --userdir user_data
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# Create configuration - Requires answering interactive questions
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docker-compose run --rm freqtrade new-config --config user_data/config.json
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```
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!!! Note "Change your docker Image"
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You have to change the docker image in the docker-compose file for your arm64 build to work properly.
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``` yml
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image: freqtradeorg/freqtrade:custom_arm64
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build:
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context: .
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dockerfile: "Dockerfile"
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```
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# Create configuration - Requires answering interactive questions
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docker-compose run --rm freqtrade new-config --config user_data/config.json
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```
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The above snippet creates a new directory called `ft_userdata`, downloads the latest compose file and pulls the freqtrade image.
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The last 2 steps in the snippet create the directory with `user_data`, as well as (interactively) the default configuration based on your selections.
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@@ -117,7 +56,7 @@ The last 2 steps in the snippet create the directory with `user_data`, as well a
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The `SampleStrategy` is run by default.
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!!! Warning "`SampleStrategy` is just a demo!"
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!!! Danger "`SampleStrategy` is just a demo!"
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The `SampleStrategy` is there for your reference and give you ideas for your own strategy.
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Please always backtest your strategy and use dry-run for some time before risking real money!
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You will find more information about Strategy development in the [Strategy documentation](strategy-customization.md).
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@@ -167,6 +106,10 @@ Advanced users may edit the docker-compose file further to include all possible
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All freqtrade arguments will be available by running `docker-compose run --rm freqtrade <command> <optional arguments>`.
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!!! Warning "`docker-compose` for trade commands"
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Trade commands (`freqtrade trade <...>`) should not be ran via `docker-compose run` - but should use `docker-compose up -d` instead.
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This makes sure that the container is properly started (including port forwardings) and will make sure that the container will restart after a system reboot.
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!!! Note "`docker-compose run --rm`"
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Including `--rm` will remove the container after completion, and is highly recommended for all modes except trading mode (running with `freqtrade trade` command).
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@@ -77,8 +77,9 @@ You can get a list of restricted markets by using the following snippet:
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``` python
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import ccxt
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ct = ccxt.bittrex()
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_ = ct.load_markets()
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res = [ f"{x['MarketCurrency']}/{x['BaseCurrency']}" for x in ct.publicGetMarkets()['result'] if x['IsRestricted']]
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lm = ct.load_markets()
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res = [p for p, x in lm.items() if 'US' in x['info']['prohibitedIn']]
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print(res)
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```
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@@ -221,10 +221,10 @@ If `DOGE/BTC` maximum bid is 0.00000026 and minimum ask is 0.00000027, the ratio
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#### RangeStabilityFilter
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Removes pairs where the difference between lowest low and highest high over `lookback_days` days is below `min_rate_of_change`. Since this is a filter that requires additional data, the results are cached for `refresh_period`.
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Removes pairs where the difference between lowest low and highest high over `lookback_days` days is below `min_rate_of_change` or above `max_rate_of_change`. Since this is a filter that requires additional data, the results are cached for `refresh_period`.
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In the below example:
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If the trading range over the last 10 days is <1%, remove the pair from the whitelist.
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If the trading range over the last 10 days is <1% or >99%, remove the pair from the whitelist.
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```json
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"pairlists": [
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@@ -232,6 +232,7 @@ If the trading range over the last 10 days is <1%, remove the pair from the whit
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"method": "RangeStabilityFilter",
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"lookback_days": 10,
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"min_rate_of_change": 0.01,
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"max_rate_of_change": 0.99,
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"refresh_period": 1440
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}
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]
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@@ -239,6 +240,7 @@ If the trading range over the last 10 days is <1%, remove the pair from the whit
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!!! Tip
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This Filter can be used to automatically remove stable coin pairs, which have a very low trading range, and are therefore extremely difficult to trade with profit.
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Additionally, it can also be used to automatically remove pairs with extreme high/low variance over a given amount of time.
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#### VolatilityFilter
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@@ -1,4 +1,4 @@
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mkdocs==1.2.2
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mkdocs-material==7.2.1
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mkdocs-material==7.2.2
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mdx_truly_sane_lists==1.2
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pymdown-extensions==8.2
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@@ -110,7 +110,7 @@ DELETE FROM trades WHERE id = 31;
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Freqtrade supports PostgreSQL by using SQLAlchemy, which supports multiple different database systems.
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Installation:
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`pip install psycopg2`
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`pip install psycopg2-binary`
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Usage:
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`... --db-url postgresql+psycopg2://<username>:<password>@localhost:5432/<database>`
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@@ -114,6 +114,36 @@ class AwesomeStrategy(IStrategy):
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See [Dataframe access](#dataframe-access) for more information about dataframe use in strategy callbacks.
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## Buy Tag
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When your strategy has multiple buy signals, you can name the signal that triggered.
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Then you can access you buy signal on `custom_sell`
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```python
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def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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dataframe.loc[
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(
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(dataframe['rsi'] < 35) &
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(dataframe['volume'] > 0)
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),
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['buy', 'buy_tag']] = (1, 'buy_signal_rsi')
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return dataframe
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def custom_sell(self, pair: str, trade: Trade, current_time: datetime, current_rate: float,
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current_profit: float, **kwargs):
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dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
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last_candle = dataframe.iloc[-1].squeeze()
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if trade.buy_tag == 'buy_signal_rsi' and last_candle['rsi'] > 80:
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return 'sell_signal_rsi'
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return None
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```
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!!! Note
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`buy_tag` is limited to 100 characters, remaining data will be truncated.
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## Custom stoploss
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The stoploss price can only ever move upwards - if the stoploss value returned from `custom_stoploss` would result in a lower stoploss price than was previously set, it will be ignored. The traditional `stoploss` value serves as an absolute lower level and will be instated as the initial stoploss.
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@@ -627,7 +627,7 @@ FreqUI will also show the backtesting results.
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```
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usage: freqtrade webserver [-h] [-v] [--logfile FILE] [-V] [-c PATH] [-d PATH]
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[--userdir PATH] [-s NAME] [--strategy-path PATH]
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[--userdir PATH]
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optional arguments:
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-h, --help show this help message and exit
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@@ -648,12 +648,6 @@ Common arguments:
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--userdir PATH, --user-data-dir PATH
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Path to userdata directory.
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Strategy arguments:
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-s NAME, --strategy NAME
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Specify strategy class name which will be used by the
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bot.
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--strategy-path PATH Specify additional strategy lookup path.
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```
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## List Hyperopt results
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@@ -83,6 +83,7 @@ Possible parameters are:
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* `fiat_currency`
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* `order_type`
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* `current_rate`
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* `buy_tag`
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### Webhookbuycancel
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@@ -100,6 +101,7 @@ Possible parameters are:
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* `fiat_currency`
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* `order_type`
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* `current_rate`
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* `buy_tag`
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### Webhookbuyfill
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@@ -115,6 +117,7 @@ Possible parameters are:
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* `stake_amount`
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* `stake_currency`
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* `fiat_currency`
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* `buy_tag`
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### Webhooksell
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Reference in New Issue
Block a user