### Test Documentation Locally

Source: https://www.freqtrade.io/en/stable/developer

Commands to install documentation dependencies and start a local development server.

```bash
pip install -r docs/requirements-docs.txt
mkdocs serve
```

--------------------------------

### Full Pairlist Configuration Example

Source: https://www.freqtrade.io/en/stable/plugins

This example demonstrates a comprehensive pairlist setup including blacklisting, volume-based sorting, delisting and age filters, precision and price filters, spread and volatility filters, and finally shuffling the pairs.

```json
"exchange": {
    "pair_whitelist": [],
    "pair_blacklist": ["BNB/BTC"]
},
"pairlists": [
    {
        "method": "VolumePairList",
        "number_assets": 20,
        "sort_key": "quoteVolume"
    },
    {
        "method": "DelistFilter",
        "max_days_from_now": 0,
    },
    {"method": "AgeFilter", "min_days_listed": 10},
    {"method": "PrecisionFilter"},
    {"method": "PriceFilter", "low_price_ratio": 0.01},
    {"method": "SpreadFilter", "max_spread_ratio": 0.005},
    {
        "method": "RangeStabilityFilter",
        "lookback_days": 10,
        "min_rate_of_change": 0.01,
        "refresh_period": 86400
    },
    {
        "method": "VolatilityFilter",
        "lookback_days": 10,
        "min_volatility": 0.05,
        "max_volatility": 0.50,
        "refresh_period": 86400
    },
    {"method": "ShuffleFilter", "seed": 42}
],

```

--------------------------------

### Update Freqtrade with Setup Script

Source: https://www.freqtrade.io/en/stable/updating

Execute the setup script with the --update flag to update your Freqtrade installation. Ensure your virtual environment is disabled before running this command.

```bash
./setup.sh --update
```

--------------------------------

### Freqtrade Client Force Enter Example

Source: https://www.freqtrade.io/en/stable/rest-api

Example of using the `freqtrade-client` to force enter a trade with keyword arguments for clarity.

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

```

--------------------------------

### Start Tensorboard Logging

Source: https://www.freqtrade.io/en/stable/freqai-running

Run this command in a separate shell to start Tensorboard. Ensure `freqai.activate_tensorboard` is set to `True` in your configuration.

```bash
cd freqtrade
tensorboard --logdir user_data/models/unique-id

```

--------------------------------

### Install FreqAI dependencies

Source: https://www.freqtrade.io/en/stable/freqai

Use this command to manually install FreqAI dependencies if they were not selected during the initial Freqtrade installation.

```bash
pip install -r requirements-freqai.txt
```

--------------------------------

### Example Hyperopt Buy Parameters

Source: https://www.freqtrade.io/en/stable/hyperopt

This block shows an example of buy parameters generated by Hyperopt. It indicates which indicators to use and their optimal values, as well as which indicators to disable.

```python
buy_params = {
        'buy_adx': 44,
        'buy_rsi': 29,
        'buy_adx_enabled': False,
        'buy_rsi_enabled': True,
        'buy_trigger': 'bb_lower'
    }
```

--------------------------------

### Backtesting with Custom Starting Balance

Source: https://www.freqtrade.io/en/stable/backtesting

Perform backtesting with a custom starting balance for the dry-run wallet, specified in the stake currency.

```bash
freqtrade backtesting --strategy AwesomeStrategy --dry-run-wallet 1000
```

--------------------------------

### Static Pair List Configuration Example

Source: https://www.freqtrade.io/en/stable/plugins

This example shows how to configure a StaticPairList with a whitelist and blacklist. It demonstrates using regex for pair selection, such as '.*\/USDT' to include all USDT pairs not explicitly blacklisted.

```json
"exchange": {
    "name": "...",
    // ... 
    "pair_whitelist": [
        "BTC/USDT",
        "ETH/USDT",
        // ...
    ],
    "pair_blacklist": [
        "BNB/USDT",
        // ...
    ]
},
"pairlists": [
    {"method": "StaticPairList"}
],

```

--------------------------------

### Install sqlite3 on Ubuntu/Debian

Source: https://www.freqtrade.io/en/stable/sql_cheatsheet

Use the package manager to install the sqlite3 command-line tool.

```bash
sudo apt-get install sqlite3
```

--------------------------------

### Install Web3 Python Package

Source: https://www.freqtrade.io/en/stable/exchanges

Install the `web3` Python package required for exchanges using Web3 functionality, such as The Ocean.

```bash
pip3 install web3

```

--------------------------------

### Minimal ROI Configuration Example

Source: https://www.freqtrade.io/en/stable/configuration

Define the minimal ROI for trades based on duration. This example shows how to set different profit targets for various time intervals.

```json
"minimal_roi": {
    "40": 0.0,
    "30": 0.01,
    "20": 0.02,
    "0":  0.04
},

```

--------------------------------

### Example: Plotting with Freqtrade

Source: https://www.freqtrade.io/en/stable/plotting

This example shows how to use the `freqtrade plot-dataframe` command to plot data for a specific pair and strategy.

```bash
freqtrade plot-dataframe -p BTC/ETH --strategy AwesomeStrategy
```

--------------------------------

### FreqAI Configuration Example

Source: https://www.freqtrade.io/en/stable/freqai-feature-engineering

Example configuration for FreqAI, specifying feature parameters like timeframes, correlated pairs, label period, and shifted candles.

```json
"freqai": {
        //...
        "feature_parameters" : {
            "include_timeframes": ["5m","15m","4h"],
            "include_corr_pairlist": [
                "ETH/USD",
                "LINK/USD",
                "BNB/USD"
            ],
            "label_period_candles": 24,
            "include_shifted_candles": 2,
            "indicator_periods_candles": [10, 20]
        },
        //...
    }
```

--------------------------------

### List downloaded data example

Source: https://www.freqtrade.io/en/stable/data-download

Lists all pair and timeframe combinations found in the specified user directory.

```bash
> freqtrade list-data --userdir ~/.freqtrade/user_data/

              Found 33 pair / timeframe combinations.
┏━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━┓
┃          Pair ┃                                 Timeframe ┃ Type ┃
┡━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━┩
│       ADA/BTC │     5m, 15m, 30m, 1h, 2h, 4h, 6h, 12h, 1d │ spot │
│       ADA/ETH │     5m, 15m, 30m, 1h, 2h, 4h, 6h, 12h, 1d │ spot │
│       ETH/BTC │     5m, 15m, 30m, 1h, 2h, 4h, 6h, 12h, 1d │ spot │
│      ETH/USDT │                  5m, 15m, 30m, 1h, 2h, 4h │ spot │
└───────────────┴───────────────────────────────────────────┴──────┘
```

--------------------------------

### Update Example Notebooks

Source: https://www.freqtrade.io/en/stable/developer

Clears output from Jupyter notebooks and generates a markdown version for documentation.

```bash
jupyter nbconvert --ClearOutputPreprocessor.enabled=True --inplace freqtrade/templates/strategy_analysis_example.ipynb
jupyter nbconvert --ClearOutputPreprocessor.enabled=True --to markdown freqtrade/templates/strategy_analysis_example.ipynb --stdout > docs/strategy_analysis_example.md
```

--------------------------------

### Install Git Hooks

Source: https://www.freqtrade.io/en/stable/developer

Command to initialize pre-commit hooks for automated code quality checks.

```bash
pre-commit install
```

--------------------------------

### Backtesting with Timerange (Date Range Examples)

Source: https://www.freqtrade.io/en/stable/backtesting

Examples of specifying date ranges for backtesting using the --timerange argument. This includes using data until a specific date, since a specific date, or between two specific dates.

```bash
--timerange=-20180131
```

```bash
--timerange=20180131-
```

```bash
--timerange=20180131-20180301
```

```bash
--timerange=1527595200-1527618600
```

--------------------------------

### Default logging configuration

Source: https://www.freqtrade.io/en/stable/advanced-setup

Example of the default logging structure using RotatingFileHandler and FtRichHandler.

```json
{
  "log_config": {
      "version": 1,
      "formatters": {
          "basic": {
              "format": "%(message)s"
          },
          "standard": {
              "format": "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
          }
      },
      "handlers": {
          "console": {
              "class": "freqtrade.loggers.ft_rich_handler.FtRichHandler",
              "formatter": "basic"
          },
          "file": {
              "class": "logging.handlers.RotatingFileHandler",
              "formatter": "standard",
              // "filename": "someRandomLogFile.log",
              "maxBytes": 10485760,
              "backupCount": 10
          }
      },
      "root": {
          "handlers": [
              "console",
              // "file"
          ],
          "level": "INFO",
      }
  }
}
```

--------------------------------

### Initialize strategy with bot_start

Source: https://www.freqtrade.io/en/stable/strategy-callbacks

Executes once after bot instantiation to perform setup tasks like fetching remote data.

```python
import requests

class AwesomeStrategy(IStrategy):

    # ... populate_* methods

    def bot_start(self, **kwargs) -> None:
        """
        Called only once after bot instantiation.
        :param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
        """
        if self.config["runmode"].value in ("live", "dry_run"):
            # Assign this to the class by using self.*
            # can then be used by populate_* methods
            self.custom_remote_data = requests.get("https://some_remote_source.example.com")
```

--------------------------------

### Initialize Freqtrade Docker Environment

Source: https://www.freqtrade.io/en/stable/docker_quickstart

Creates a working directory, downloads the compose file, pulls the image, and initializes the user data and configuration.

```bash
mkdir ft_userdata
cd ft_userdata/
# Download the docker-compose file from the repository
curl https://raw.githubusercontent.com/freqtrade/freqtrade/stable/docker-compose.yml -o docker-compose.yml

# Pull the freqtrade image
docker compose pull

# Create user directory structure
docker compose run --rm freqtrade create-userdir --userdir user_data

# Create configuration - Requires answering interactive questions
docker compose run --rm freqtrade new-config --config user_data/config.json
```

--------------------------------

### Programmatic Freqtrade Client Ping Example

Source: https://www.freqtrade.io/en/stable/rest-api

Python code to get the status of the bot using the `FtRestClient`'s `ping` method.

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

```

--------------------------------

### Get Order Book Structure Example

Source: https://www.freqtrade.io/en/stable/strategy-customization

Illustrates the structure of the order book data returned by the `_orderbook` method, which is aligned with ccxt's order structure.

```json
{
    'bids': [
        [ price, amount ], // [ float, float ]
        [ price, amount ],
        ...
    ],
    'asks': [
        [ price, amount ],
        [ price, amount ],
        //...
    ],
    //...
}

```

--------------------------------

### Backtesting with Timerange (Specific Date)

Source: https://www.freqtrade.io/en/stable/backtesting

Run backtesting using a specific date range from the available historical data. This example uses data starting from May 1st, 2019.

```bash
freqtrade backtesting --timerange=20190501-
```

--------------------------------

### Plotting Multiple Area Annotations with Price Levels

Source: https://www.freqtrade.io/en/stable/strategy-callbacks

This example shows how to plot multiple types of area annotations, including those with dynamic y-axis start and end points based on price data. Be mindful of performance when using a large number of annotations.

```python
# Default imports

class AwesomeStrategy(IStrategy):
    def plot_annotations(
        self,
        pair: str,
        start_date: datetime,
        end_date: datetime,
        dataframe: DataFrame,
        **kwargs,
    ) -> list[AnnotationType]:
        annotations = []
        while start_dt < end_date:
            start_dt += timedelta(hours=1)
            if (start_dt.hour % 4) == 0:
                annotations.append(
                    {
                        "type": "area",
                        "label": "4h",
                        "start": start_dt,
                        "end": start_dt + timedelta(hours=1),
                        "color": "rgba(133, 133, 133, 0.4)",
                    }
                )
            elif (start_dt.hour % 2) == 0:
            price = dataframe.loc[dataframe["date"] == start_dt, "close"].mean()
                annotations.append(
                    {
                        "type": "area",
                        "label": "2h",
                        "start": start_dt,
                        "end": start_dt + timedelta(hours=1),
                        "y_end": price * 1.01,
                        "y_start": price * 0.99,
                        "color": "rgba(0, 255, 0, 0.4)",
                        "z_level": 5,
                    }
                )

        return annotations

```

--------------------------------

### Generate a basic configuration file

Source: https://www.freqtrade.io/en/stable/configuration

Use this command to create a default configuration file if one does not exist.

```bash
freqtrade new-config --config user_data/config.json
```

--------------------------------

### Hyperoptable Parameter Example

Source: https://www.freqtrade.io/en/stable/freqai-running

Example of a hyperoptable parameter for FreqAI, focusing on entry/exit thresholds. This specific example optimizes the Dissimilarity Index threshold for outlier detection.

```python
di_max = IntParameter(low=1, high=20, default=10, space='buy', optimize=True, load=True)
dataframe['outlier'] = np.where(dataframe['DI_values'] > self.di_max.value/10, 1, 0)

```

--------------------------------

### Create Freqtrade User Directory

Source: https://www.freqtrade.io/en/stable/utils

Creates the directory structure for Freqtrade files and sample strategies. Use `--reset` to revert sample files to their default state, but be aware this may overwrite existing data.

```bash
usage: freqtrade create-userdir [-h] [--userdir PATH] [--reset]

options:
  -h, --help            show this help message and exit
  --userdir, --user-data-dir PATH
                        Path to userdata directory.
  --reset               Reset sample files to their original state.

```

```tree
├── backtest_results
├── data
├── hyperopt_results
├── hyperopts
│   ├── sample_hyperopt_loss.py
├── notebooks
│   └── strategy_analysis_example.ipynb
├── plot
└── strategies
    └── sample_strategy.py

```

--------------------------------

### Sample Binance Exchange Configuration

Source: https://www.freqtrade.io/en/stable/exchanges

A basic configuration example for the Binance exchange. Ensure you replace 'your_exchange_key' and 'your_exchange_secret' with your actual API credentials.

```json
"exchange": {
    "name": "binance",
    "key": "your_exchange_key",
    "secret": "your_exchange_secret",
    "ccxt_config": {},
    "ccxt_async_config": {},
    // ... 

```

--------------------------------

### Install Plotting Requirements

Source: https://www.freqtrade.io/en/stable/plotting

Installs or upgrades the Plotly library and its dependencies required for Freqtrade plotting modules.

```bash
pip install -U -r requirements-plot.txt
```

--------------------------------

### Create user directory structure

Source: https://www.freqtrade.io/en/stable/bot-usage

Command to initialize a custom user data directory for Freqtrade.

```bash
freqtrade create-userdir --userdir someDirectory
```

--------------------------------

### Configuration Collision Handling Example

Source: https://www.freqtrade.io/en/stable/configuration

Demonstrates how configuration settings are merged when keys exist in multiple files. The parent configuration (config.json) wins over the imported configuration (config-import.json) if the key is defined in both.

```json
{
    "max_open_trades": 3,
    "stake_currency": "USDT",
    "add_config_files": [
        "config-import.json"
    ]
}
```

```json
{
    "max_open_trades": 10,
    "stake_amount": "unlimited",
}
```

```json
{
    "max_open_trades": 3,
    "stake_currency": "USDT",
    "stake_amount": "unlimited"
}
```

--------------------------------

### Install Hyperopt Dependencies

Source: https://www.freqtrade.io/en/stable/hyperopt

Install the necessary dependencies for hyperopt using pip. Ensure your virtual environment is activated before running this command.

```bash
source .venv/bin/activate
pip install -r requirements-hyperopt.txt

```

--------------------------------

### Display Hyperopt CLI Help

Source: https://www.freqtrade.io/en/stable/utils

Displays the usage and available options for the hyperopt-show command.

```bash
usage: freqtrade hyperopt-show [-h] [-v] [--no-color] [--logfile FILE] [-V]
                               [-c PATH] [-d PATH] [--userdir PATH] [--best]
                               [--profitable] [-n INT] [--print-json]
                               [--hyperopt-filename FILENAME] [--no-header]
                               [--disable-param-export]
                               [--breakdown {day,week,month,year,weekday} [{day,week,month,year,weekday} ...]]

options:
  -h, --help            show this help message and exit
  --best                Select only best epochs.
  --profitable          Select only profitable epochs.
  -n, --index INT       Specify the index of the epoch to print details for.
  --print-json          Print output in JSON format.
  --hyperopt-filename FILENAME
                        Hyperopt result filename.Example: `--hyperopt-
                        filename=hyperopt_results_2020-09-27_16-20-48.pickle`
  --no-header           Do not print epoch details header.
  --disable-param-export
                        Disable automatic hyperopt parameter export.
  --breakdown {day,week,month,year,weekday} [{day,week,month,year,weekday} ...]
                        Show backtesting breakdown per [day, week, month,
                        year, weekday].

Common arguments:
  -v, --verbose         Verbose mode (-vv for more, -vvv to get all messages).
  --no-color            Disable colorization of hyperopt results. May be
                        useful if you are redirecting output to a file.
  --logfile, --log-file FILE
                        Log to the file specified. Special values are:
                        'syslog', 'journald'. See the documentation for more
                        details.
  -V, --version         show program's version number and exit
  -c, --config PATH     Specify configuration file (default:
                        `userdir/config.json` or `config.json` whichever
                        exists). Multiple --config options may be used. Can be
                        set to `-` to read config from stdin.
  -d, --datadir, --data-dir PATH
                        Path to the base directory of the exchange with
                        historical backtesting data. To see futures data, use
                        trading-mode additionally.
  --userdir, --user-data-dir PATH
                        Path to userdata directory.
```

--------------------------------

### Telegram Bot Configuration Example

Source: https://www.freqtrade.io/en/stable/telegram-usage

Example configuration for Freqtrade to enable Telegram notifications and commands. Ensure 'token' and 'chat_id' are correctly set.

```json
{
    "enabled": true,
    "token": "********",
    "chat_id": "-1001332619709",
    "topic_id": "122"
}
```

--------------------------------

### Install MariaDB/MySQL Driver for Freqtrade

Source: https://www.freqtrade.io/en/stable/advanced-setup

Install the Python package required for Freqtrade to connect to MariaDB or MySQL databases. This is a prerequisite for using these database systems.

```bash
pip install pymysql
```

--------------------------------

### Install PostgreSQL Driver for Freqtrade

Source: https://www.freqtrade.io/en/stable/advanced-setup

Install the necessary Python package for PostgreSQL connectivity. This command is used when Freqtrade needs to connect to a PostgreSQL database.

```bash
pip install "psycopg[binary]"
```

--------------------------------

### Update Freqtrade Native Installation

Source: https://www.freqtrade.io/en/stable/updating

For native installations, pull the latest code, update Python dependencies, and reinstall the package. Ensure freqUI is also updated.

```bash
git pull
pip install -U -r requirements.txt
pip install -e .

# Ensure freqUI is at the latest version
freqtrade install-ui 
```

--------------------------------

### Manual PyPI Release Commands

Source: https://www.freqtrade.io/en/stable/developer

Requires wheel and twine installed. Use the test repository for verification before uploading to production.

```bash
pip install -U build
python -m build --sdist --wheel

# For pypi test (to check if some change to the installation did work)
twine upload --repository-url https://test.pypi.org/legacy/ dist/*

# For production:
twine upload dist/*
```

--------------------------------

### Generate Backtest Documentation Results

Source: https://www.freqtrade.io/en/stable/developer

Commands to prepare a user directory, configure a strategy, download data, and run a backtest for documentation purposes.

```bash
# Assume a dedicated user directory for this output
freqtrade create-userdir --userdir user_data_bttest/
# set can_short = True
sed -i "s/can_short: bool = False/can_short: bool = True/" user_data_bttest/strategies/sample_strategy.py

freqtrade download-data --timerange 20250625-20250801 --config tests/testdata/config.tests.usdt.json --userdir user_data_bttest/ -t 5m

freqtrade backtesting --config tests/testdata/config.tests.usdt.json -s SampleStrategy --userdir user_data_bttest/ --cache none --timerange 20250701-20250801
```

--------------------------------

### Example Hyperopt ROI Table

Source: https://www.freqtrade.io/en/stable/hyperopt

This is an example of a minimal ROI table generated by Hyperopt. It defines the minimum profit percentage to aim for at different time intervals.

```python
minimal_roi = {
        0: 0.10674,
        21: 0.09158,
        78: 0.03634,
        118: 0
    }
```

--------------------------------

### Enable Dry-run Mode and Set Database

Source: https://www.freqtrade.io/en/stable/configuration

Configure `dry_run` to `true` and specify a `db_url` for persistence when testing strategies without risking real money.

```json
"dry_run": true,
"db_url": "sqlite:///tradesv3.dryrun.sqlite",
```

--------------------------------

### Initialize pairs file directory

Source: https://www.freqtrade.io/en/stable/data-download

Commands to create the directory structure and an empty pairs.json file for a specific exchange.

```bash
mkdir -p user_data/data/binance
touch user_data/data/binance/pairs.json
```

--------------------------------

### Install Jupyter Kernel for Freqtrade

Source: https://www.freqtrade.io/en/stable/data-analysis

Installs the ipykernel and registers a Jupyter kernel named 'freqtrade' within your virtual environment. This allows you to select and use this kernel in your Jupyter notebooks.

```bash
# Activate virtual environment
source .venv/bin/activate

pip install ipykernel
ipphon kernel install --user --name=freqtrade
# Restart jupyter (lab / notebook)
# select kernel "freqtrade" in the notebook
```

--------------------------------

### Migrate Protections to Property Setup

Source: https://www.freqtrade.io/en/stable/hyperopt

Convert static protection lists into properties to enable dynamic configuration and optimization.

```python
class MyAwesomeStrategy(IStrategy):
    protections = [
        {
            "method": "CooldownPeriod",
            "stop_duration_candles": 4
        }
    ]
```

```python
class MyAwesomeStrategy(IStrategy):

    @property
    def protections(self):
        return [
            {
                "method": "CooldownPeriod",
                "stop_duration_candles": 4
            }
        ]
```

--------------------------------

### Example minimal_roi Configuration

Source: https://www.freqtrade.io/en/stable/backtesting

Illustrates a minimal_roi configuration where the bot will exit trades once a 1% profit is reached. This impacts the maximum achievable profit per trade.

```json
{
    "0":  0.01
}
```

--------------------------------

### PairInformationFilter Configuration Example

Source: https://www.freqtrade.io/en/stable/plugins

Configure PairInformationFilter to select pairs based on specific criteria found within the exchange's market data. This example filters for TradeFi perpetual contracts using the 'info.contractType' key.

```json
[
    // ...
    {
        "method": "PairInformationFilter",
        "selection_mode": "whitelist",  // can be whitelist or blacklist
        "info_key" : "info.contractType", // can be any key in market data
        "info_compare_value": "TRADIFI_PERPETUAL", // can be any matching value
    }
]
```

--------------------------------

### RemotePairList Configuration Example

Source: https://www.freqtrade.io/en/stable/plugins

Configure RemotePairList to fetch a whitelist of trading pairs from a URL with specific processing and refresh settings.

```json
"pairlists": [
    {
        "method": "RemotePairList",
        "mode": "whitelist",
        "processing_mode": "filter",
        "pairlist_url": "https://example.com/pairlist",
        "number_assets": 10,
        "refresh_period": 1800,
        "keep_pairlist_on_failure": true,
        "read_timeout": 60,
        "bearer_token": "my-bearer-token",
        "save_to_file": "user_data/filename.json" 
    }
]
```

--------------------------------

### GET /version

Source: https://www.freqtrade.io/en/stable/telegram-usage

Returns the current bot version.

```APIDOC
## GET /version

### Description
Returns the current version of the Freqtrade bot.

### Method
GET

### Endpoint
/version
```

--------------------------------

### GET /blacklist

Source: https://www.freqtrade.io/en/stable/telegram-usage

Manages and displays the current blacklist.

```APIDOC
## GET /blacklist

### Description
Shows the current blacklist. If a pair is provided, it will be added to the blacklist.

### Method
GET

### Endpoint
/blacklist [pair]

### Parameters
#### Path Parameters
- **pair** (string) - Optional - The trading pair(s) to add to the blacklist.
```

--------------------------------

### Run Multiple Live Instances

Source: https://www.freqtrade.io/en/stable/advanced-setup

Commands to run two separate live trading instances using different configuration files and database paths.

```bash
# Terminal 1:
freqtrade trade -c MyConfigBTC.json -s MyCustomStrategy --db-url sqlite:///user_data/tradesBTC.live.sqlite
# Terminal 2:
freqtrade trade -c MyConfigUSDT.json -s MyCustomStrategy --db-url sqlite:///user_data/tradesUSDT.live.sqlite
```

--------------------------------

### Run Freqtrade Webserver via Docker

Source: https://www.freqtrade.io/en/stable/utils

Start a one-off Freqtrade webserver container, ensuring the port is explicitly configured. The container is automatically removed upon stopping.

```bash
docker compose run --rm -p 127.0.0.1:8080:8080 freqtrade webserver
```

--------------------------------

### GET /whitelist

Source: https://www.freqtrade.io/en/stable/telegram-usage

Shows the current trading whitelist.

```APIDOC
## GET /whitelist

### Description
Displays the current whitelist of trading pairs.

### Method
GET

### Endpoint
/whitelist
```