14 KiB
REST API & FreqUI
FreqUI
Freqtrade provides a builtin webserver, which can serve FreqUI, the freqtrade UI.
By default, the UI is not included in the installation (except for docker images), and must be installed explicitly with freqtrade install-ui
.
This same command can also be used to update freqUI, should there be a new release.
Once the bot is started in trade / dry-run mode (with freqtrade trade
) - the UI will be available under the configured port below (usually http://127.0.0.1:8080
).
!!! info "Alpha release" FreqUI is still considered an alpha release - if you encounter bugs or inconsistencies please open a FreqUI issue.
!!! Note "developers" Developers should not use this method, but instead use the method described in the freqUI repository to get the source-code of freqUI.
Configuration
Enable the rest API by adding the api_server section to your configuration and setting api_server.enabled
to true
.
Sample configuration:
"api_server": {
"enabled": true,
"listen_ip_address": "127.0.0.1",
"listen_port": 8080,
"verbosity": "error",
"enable_openapi": false,
"jwt_secret_key": "somethingrandom",
"CORS_origins": [],
"username": "Freqtrader",
"password": "SuperSecret1!"
},
!!! Danger "Security warning" By default, the configuration listens on localhost only (so it's not reachable from other systems). We strongly recommend to not expose this API to the internet and choose a strong, unique password, since others will potentially be able to control your bot.
??? Note "API/UI Access on a remote servers" If you're running on a VPS, you should consider using either a ssh tunnel, or setup a VPN (openVPN, wireguard) to connect to your bot. This will ensure that freqUI is not directly exposed to the internet, which is not recommended for security reasons (freqUI does not support https out of the box). Setup of these tools is not part of this tutorial, however many good tutorials can be found on the internet.
You can then access the API by going to http://127.0.0.1:8080/api/v1/ping
in a browser to check if the API is running correctly.
This should return the response:
{"status":"pong"}
All other endpoints return sensitive info and require authentication and are therefore not available through a web browser.
Security
To generate a secure password, best use a password manager, or use the below code.
import secrets
secrets.token_hex()
!!! Hint "JWT token"
Use the same method to also generate a JWT secret key (jwt_secret_key
).
!!! Danger "Password selection"
Please make sure to select a very strong, unique password to protect your bot from unauthorized access.
Also change jwt_secret_key
to something random (no need to remember this, but it'll be used to encrypt your session, so it better be something unique!).
Configuration with docker
If you run your bot using docker, you'll need to have the bot listen to incoming connections. The security is then handled by docker.
"api_server": {
"enabled": true,
"listen_ip_address": "0.0.0.0",
"listen_port": 8080,
"username": "Freqtrader",
"password": "SuperSecret1!",
//...
},
Make sure that the following 2 lines are available in your docker-compose file:
ports:
- "127.0.0.1:8080:8080"
!!! Danger "Security warning"
By using 8080:8080
in the docker port mapping, the API will be available to everyone connecting to the server under the correct port, so others may be able to control your bot.
Rest API
Consuming the API
You can consume the API by using the script scripts/rest_client.py
.
The client script only requires the requests
module, so Freqtrade does not need to be installed on the system.
python3 scripts/rest_client.py <command> [optional parameters]
By default, the script assumes 127.0.0.1
(localhost) and port 8080
to be used, however you can specify a configuration file to override this behaviour.
Minimalistic client config
{
"api_server": {
"enabled": true,
"listen_ip_address": "0.0.0.0",
"listen_port": 8080,
"username": "Freqtrader",
"password": "SuperSecret1!",
//...
}
}
python3 scripts/rest_client.py --config rest_config.json <command> [optional parameters]
Available endpoints
Command | Description |
---|---|
ping |
Simple command testing the API Readiness - requires no authentication. |
start |
Starts the trader. |
stop |
Stops the trader. |
stopbuy |
Stops the trader from opening new trades. Gracefully closes open trades according to their rules. |
reload_config |
Reloads the configuration file. |
trades |
List last trades. Limited to 500 trades per call. |
trade/<tradeid> |
Get specific trade. |
delete_trade <trade_id> |
Remove trade from the database. Tries to close open orders. Requires manual handling of this trade on the exchange. |
show_config |
Shows part of the current configuration with relevant settings to operation. |
logs |
Shows last log messages. |
status |
Lists all open trades. |
count |
Displays number of trades used and available. |
locks |
Displays currently locked pairs. |
delete_lock <lock_id> |
Deletes (disables) the lock by id. |
profit |
Display a summary of your profit/loss from close trades and some stats about your performance. |
forcesell <trade_id> |
Instantly sells the given trade (Ignoring minimum_roi ). |
forcesell all |
Instantly sells all open trades (Ignoring minimum_roi ). |
forcebuy <pair> [rate] |
Instantly buys the given pair. Rate is optional. (forcebuy_enable must be set to True) |
performance |
Show performance of each finished trade grouped by pair. |
balance |
Show account balance per currency. |
daily <n> |
Shows profit or loss per day, over the last n days (n defaults to 7). |
stats |
Display a summary of profit / loss reasons as well as average holding times. |
whitelist |
Show the current whitelist. |
blacklist [pair] |
Show the current blacklist, or adds a pair to the blacklist. |
edge |
Show validated pairs by Edge if it is enabled. |
pair_candles |
Returns dataframe for a pair / timeframe combination while the bot is running. Alpha |
pair_history |
Returns an analyzed dataframe for a given timerange, analyzed by a given strategy. Alpha |
plot_config |
Get plot config from the strategy (or nothing if not configured). Alpha |
strategies |
List strategies in strategy directory. Alpha |
strategy <strategy> |
Get specific Strategy content. Alpha |
available_pairs |
List available backtest data. Alpha |
version |
Show version. |
!!! Warning "Alpha status" Endpoints labeled with Alpha status above may change at any time without notice.
Possible commands can be listed from the rest-client script using the help
command.
python3 scripts/rest_client.py help
Possible commands:
available_pairs
Return available pair (backtest data) based on timeframe / stake_currency selection
:param timeframe: Only pairs with this timeframe available.
:param stake_currency: Only pairs that include this timeframe
balance
Get the account balance.
blacklist
Show the current blacklist.
:param add: List of coins to add (example: "BNB/BTC")
count
Return the amount of open trades.
daily
Return the profits for each day, and amount of trades.
delete_lock
Delete (disable) lock from the database.
:param lock_id: ID for the lock to delete
delete_trade
Delete trade from the database.
Tries to close open orders. Requires manual handling of this asset on the exchange.
:param trade_id: Deletes the trade with this ID from the database.
edge
Return information about edge.
forcebuy
Buy an asset.
:param pair: Pair to buy (ETH/BTC)
:param price: Optional - price to buy
forcesell
Force-sell a trade.
:param tradeid: Id of the trade (can be received via status command)
locks
Return current locks
logs
Show latest logs.
:param limit: Limits log messages to the last <limit> logs. No limit to get the entire log.
pair_candles
Return live dataframe for <pair><timeframe>.
:param pair: Pair to get data for
:param timeframe: Only pairs with this timeframe available.
:param limit: Limit result to the last n candles.
pair_history
Return historic, analyzed dataframe
:param pair: Pair to get data for
:param timeframe: Only pairs with this timeframe available.
:param strategy: Strategy to analyze and get values for
:param timerange: Timerange to get data for (same format than --timerange endpoints)
performance
Return the performance of the different coins.
ping
simple ping
plot_config
Return plot configuration if the strategy defines one.
profit
Return the profit summary.
reload_config
Reload configuration.
show_config
Returns part of the configuration, relevant for trading operations.
start
Start the bot if it's in the stopped state.
stats
Return the stats report (durations, sell-reasons).
status
Get the status of open trades.
stop
Stop the bot. Use `start` to restart.
stopbuy
Stop buying (but handle sells gracefully). Use `reload_config` to reset.
strategies
Lists available strategies
strategy
Get strategy details
:param strategy: Strategy class name
trade
Return specific trade
:param trade_id: Specify which trade to get.
trades
Return trades history, sorted by id
:param limit: Limits trades to the X last trades. Max 500 trades.
:param offset: Offset by this amount of trades.
version
Return the version of the bot.
whitelist
Show the current whitelist.
OpenAPI interface
To enable the builtin openAPI interface (Swagger UI), specify "enable_openapi": true
in the api_server configuration.
This will enable the Swagger UI at the /docs
endpoint. By default, that's running at http://localhost:8080/docs/ - but it'll depend on your settings.
Advanced API usage using JWT tokens
!!! Note The below should be done in an application (a Freqtrade REST API client, which fetches info via API), and is not intended to be used on a regular basis.
Freqtrade's REST API also offers JWT (JSON Web Tokens). You can login using the following command, and subsequently use the resulting access_token.
> curl -X POST --user Freqtrader http://localhost:8080/api/v1/token/login
{"access_token":"eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE1ODkxMTk2ODEsIm5iZiI6MTU4OTExOTY4MSwianRpIjoiMmEwYmY0NWUtMjhmOS00YTUzLTlmNzItMmM5ZWVlYThkNzc2IiwiZXhwIjoxNTg5MTIwNTgxLCJpZGVudGl0eSI6eyJ1IjoiRnJlcXRyYWRlciJ9LCJmcmVzaCI6ZmFsc2UsInR5cGUiOiJhY2Nlc3MifQ.qt6MAXYIa-l556OM7arBvYJ0SDI9J8bIk3_glDujF5g","refresh_token":"eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE1ODkxMTk2ODEsIm5iZiI6MTU4OTExOTY4MSwianRpIjoiZWQ1ZWI3YjAtYjMwMy00YzAyLTg2N2MtNWViMjIxNWQ2YTMxIiwiZXhwIjoxNTkxNzExNjgxLCJpZGVudGl0eSI6eyJ1IjoiRnJlcXRyYWRlciJ9LCJ0eXBlIjoicmVmcmVzaCJ9.d1AT_jYICyTAjD0fiQAr52rkRqtxCjUGEMwlNuuzgNQ"}
> access_token="eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE1ODkxMTk2ODEsIm5iZiI6MTU4OTExOTY4MSwianRpIjoiMmEwYmY0NWUtMjhmOS00YTUzLTlmNzItMmM5ZWVlYThkNzc2IiwiZXhwIjoxNTg5MTIwNTgxLCJpZGVudGl0eSI6eyJ1IjoiRnJlcXRyYWRlciJ9LCJmcmVzaCI6ZmFsc2UsInR5cGUiOiJhY2Nlc3MifQ.qt6MAXYIa-l556OM7arBvYJ0SDI9J8bIk3_glDujF5g"
# Use access_token for authentication
> curl -X GET --header "Authorization: Bearer ${access_token}" http://localhost:8080/api/v1/count
Since the access token has a short timeout (15 min) - the token/refresh
request should be used periodically to get a fresh access token:
> curl -X POST --header "Authorization: Bearer ${refresh_token}"http://localhost:8080/api/v1/token/refresh
{"access_token":"eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE1ODkxMTk5NzQsIm5iZiI6MTU4OTExOTk3NCwianRpIjoiMDBjNTlhMWUtMjBmYS00ZTk0LTliZjAtNWQwNTg2MTdiZDIyIiwiZXhwIjoxNTg5MTIwODc0LCJpZGVudGl0eSI6eyJ1IjoiRnJlcXRyYWRlciJ9LCJmcmVzaCI6ZmFsc2UsInR5cGUiOiJhY2Nlc3MifQ.1seHlII3WprjjclY6DpRhen0rqdF4j6jbvxIhUFaSbs"}
CORS
This whole section is only necessary in cross-origin cases (where you multiple bot API's running on localhost:8081
, localhost:8082
, ...), and want to combine them into one FreqUI instance.
??? info "Technical explanation"
All web-based front-ends are subject to CORS - Cross-Origin Resource Sharing.
Since most of the requests to the Freqtrade API must be authenticated, a proper CORS policy is key to avoid security problems.
Also, the standard disallows *
CORS policies for requests with credentials, so this setting must be set appropriately.
Users can allow access from different origin URL's to the bot API via the CORS_origins
configuration setting.
It consists of a list of allowed URL's that are allowed to consume resources from the bot's API.
Assuming your application is deployed as https://frequi.freqtrade.io/home/
- this would mean that the following configuration becomes necessary:
{
//...
"jwt_secret_key": "somethingrandom",
"CORS_origins": ["https://frequi.freqtrade.io"],
//...
}
In the following (pretty common) case, FreqUI is accessible on http://localhost:8080/trade
(this is what you see in your navbar when navigating to freqUI).
The correct configuration for this case is http://localhost:8080
- the main part of the URL including the port.
{
//...
"jwt_secret_key": "somethingrandom",
"CORS_origins": ["http://localhost:8080"],
//...
}
!!! Note
We strongly recommend to also set jwt_secret_key
to something random and known only to yourself to avoid unauthorized access to your bot.