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