freqtrade_origin/docs/rest-api.md

REST API

FreqUI

FreqUI now has it's own dedicated documentation section - please refer to that section for all information regarding the 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!",
        "ws_token": "sercet_Ws_t0ken"
    },

!!! 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" (or "0.0.0.0:8080:8080") 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. This may be safe if you're running the bot in a secure environment (like your home network), but it's not recommended to expose the API to the internet.

Rest API

Consuming the API

You can consume the API by using freqtrade-client (also available as scripts/rest_client.py). This command can be installed independent of the bot by using pip install freqtrade-client.

This module is designed to be lightweight, and only depends on the requests and python-rapidjson modules, skipping all heavy dependencies freqtrade otherwise needs.

freqtrade-client <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!",
        //...
    }
}

freqtrade-client --config rest_config.json <command> [optional parameters]

Commands with many arguments may require keyword arguments (for clarity) - which can be provided as follows:

freqtrade-client --config rest_config.json forceenter BTC/USDT long enter_tag=GutFeeling

This method will work for all arguments - check the "show" command for a list of available parameters.

??? Note "Programmatic use" The freqtrade-client package (installable independent of freqtrade) can be used in your own scripts to interact with the freqtrade API. to do so, please use the following:

``` python
from freqtrade_client import FtRestClient


client = FtRestClient(server_url, username, password)

# Get the status of the bot
ping = client.ping()
print(ping)
# ... 
```

For a full list of available commands, please refer to the list below.

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.
trades/<tradeid>	DELETE - Remove trade from the database. Tries to close open orders. Requires manual handling of this trade on the exchange.
trades/<tradeid>/open-order	DELETE - Cancel open order for this trade.
trades/<tradeid>/reload	GET - Reload a trade from the Exchange. Only works in live, and can potentially help recover a trade that was manually sold 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.
entries [pair]	Shows profit statistics for each enter tags for given pair (or all pairs if pair isn't given). Pair is optional.
exits [pair]	Shows profit statistics for each exit reasons for given pair (or all pairs if pair isn't given). Pair is optional.
mix_tags [pair]	Shows profit statistics for each combinations of enter tag + exit reasons for given pair (or all pairs if pair isn't given). Pair is optional.
locks	Displays currently locked pairs.
delete_lock <lock_id>	Deletes (disables) the lock by id.
locks add <pair>, <until>, [side], [reason]	Locks a pair until "until". (Until will be rounded up to the nearest timeframe).
profit	Display a summary of your profit/loss from close trades and some stats about your performance.
forceexit <trade_id> [order_type] [amount]	Instantly exits the given trade (ignoring minimum_roi), using the given order type ("market" or "limit", uses your config setting if not specified), and the chosen amount (full sell if not specified).
forceexit all	Instantly exits all open trades (Ignoring minimum_roi).
forceenter <pair> [rate]	Instantly enters the given pair. Rate is optional. (force_entry_enable must be set to True)
forceenter <pair> <side> [rate]	Instantly longs or shorts the given pair. Rate is optional. (force_entry_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).
weekly <n>	Shows profit or loss per week, over the last n days (n defaults to 4).
monthly <n>	Shows profit or loss per month, over the last n days (n defaults to 3).
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.
sysinfo	Show information about the system load.
health	Show bot health (last bot loop).

!!! 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.

freqtrade-client 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")

cancel_open_order
	Cancel open order for trade.

        :param trade_id: Cancels open orders for this trade.

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

forceenter
	Force entering a trade

        :param pair: Pair to buy (ETH/BTC)
        :param side: 'long' or 'short'
        :param price: Optional - price to buy

forceexit
	Force-exit a trade.

        :param tradeid: Id of the trade (can be received via status command)
        :param ordertype: Order type to use (must be market or limit)
        :param amount: Amount to sell. Full sell if not given

health
	Provides a quick health check of the running bot.

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

sysinfo
	Provides system information (CPU, RAM usage)

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.

Message WebSocket

The API Server includes a websocket endpoint for subscribing to RPC messages from the freqtrade Bot. This can be used to consume real-time data from your bot, such as entry/exit fill messages, whitelist changes, populated indicators for pairs, and more.

This is also used to setup Producer/Consumer mode in Freqtrade.

Assuming your rest API is set to 127.0.0.1 on port 8080, the endpoint is available at http://localhost:8080/api/v1/message/ws.

To access the websocket endpoint, the ws_token is required as a query parameter in the endpoint URL.

To generate a safe ws_token you can run the following code:

>>> import secrets
>>> secrets.token_urlsafe(25)
'hZ-y58LXyX_HZ8O1cJzVyN6ePWrLpNQv4Q'

You would then add that token under ws_token in your api_server config. Like so:

"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!",
    "ws_token": "hZ-y58LXyX_HZ8O1cJzVyN6ePWrLpNQv4Q" // <-----
},

You can now connect to the endpoint at http://localhost:8080/api/v1/message/ws?token=hZ-y58LXyX_HZ8O1cJzVyN6ePWrLpNQv4Q.

!!! Danger "Reuse of example tokens" Please do not use the above example token. To make sure you are secure, generate a completely new token.

Using the WebSocket

Once connected to the WebSocket, the bot will broadcast RPC messages to anyone who is subscribed to them. To subscribe to a list of messages, you must send a JSON request through the WebSocket like the one below. The data key must be a list of message type strings.

{
  "type": "subscribe",
  "data": ["whitelist", "analyzed_df"] // A list of string message types
}

For a list of message types, please refer to the RPCMessageType enum in freqtrade/enums/rpcmessagetype.py

Now anytime those types of RPC messages are sent in the bot, you will receive them through the WebSocket as long as the connection is active. They typically take the same form as the request:

{
  "type": "analyzed_df",
  "data": {
      "key": ["NEO/BTC", "5m", "spot"],
      "df": {}, // The dataframe
      "la": "2022-09-08 22:14:41.457786+00:00"
  }
}

Reverse Proxy setup

When using Nginx, the following configuration is required for WebSockets to work (Note this configuration is incomplete, it's missing some information and can not be used as is):

Please make sure to replace <freqtrade_listen_ip> (and the subsequent port) with the IP and Port matching your configuration/setup.

http {
    map $http_upgrade $connection_upgrade {
        default upgrade;
        '' close;
    }

    #...

    server {
        #...

        location / {
            proxy_http_version 1.1;
            proxy_pass http://<freqtrade_listen_ip>:8080;
            proxy_set_header Upgrade $http_upgrade;
            proxy_set_header Connection $connection_upgrade;
            proxy_set_header Host $host;
        }
    }
}

To properly configure your reverse proxy (securely), please consult it's documentation for proxying websockets.

• Traefik: Traefik supports websockets out of the box, see the documentation
• Caddy: Caddy v2 supports websockets out of the box, see the documentation

!!! Tip "SSL certificates" You can use tools like certbot to setup ssl certificates to access your bot's UI through encrypted connection by using any of the above reverse proxies. While this will protect your data in transit, we do not recommend to run the freqtrade API outside of your private network (VPN, SSH tunnel).

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"}

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