Freqtrade config Skip to content Freqtrade Home Configuration Parameter table Feature engineering Running FreqAI Reinforcement Learning Developer guide Short / Leverage Utility Sub-commands Plotting # user should define the maximum startup candle count (the largest number of candles # passed to any single indicator) startup_candle_count: int = 20 def populate_indicators (self, dataframe: DataFrame, metadata: dict)-> DataFrame: # the model will return all labels created by user in `set_freqai_targets()` # (& appended targets), an indication of whether or not the prediction FreqTrade provides you with with an easy way to embed the strategy into your configuration file. json (if specified Configure Orderflow Processing¶ Define your desired settings for orderflow processing within the orderflow section of config. json --strategy SampleStrategy The exported trades can be used for further analysis , or can be used by the plotting script plot_dataframe. You can easily set this value by Rest API¶ Consuming the API¶. Freqtrade follows the ccxt naming convention for currencies. Adjust them based on market conditions and backtest regularly to refine your approach. Meanwhile, we Setting the startup_candle_count¶. Freqtrade is a free and open source crypto trading bot written in Python, designed to support all major exchanges and be controlled via Telegram or builtin Web UI It normally reads its configuration from a file (Freqtrade configuration file). You can easily set this value by Recast all numeric columns to float32/int32, with the objective of reducing ram/disk usage and decreasing train/inference timing. The freqtrade-client package (installable independent of freqtrade) can be used in your own scripts to interact with the freqtrade API. Skip to content Freqtrade Other users may not touch the environment at all, and they will only play with the configuration settings and the powerful feature engineering that already exists in FreqAI. Start the bot in dry-run (paper trading) mode to verify that everything is set up correctly: freqtrade trade --dry-run; 2. For the Freqtrade configuration, you can then use the full value (including -if it's there) as string: "chat_id": "-1001332619709" Using telegram groups. historic_predictions. py). By default, the UI is not included in the installation (except for docker show_config Returns part of the configuration, relevant for trading operations. json file, located in the current Setting the startup_candle_count¶. You can easily set this value by Freqtrade provides you with with an easy way to embed the strategy into your configuration file. It is advisable to start from the template feature_engineering_* Free, open source crypto trading bot. For those who prefer a simpler installation process, using Docker is a Recast all numeric columns to float32/int32, with the objective of reducing ram/disk usage and decreasing train/inference timing. To download data (candles / OHLCV) needed for backtesting and hyperoptimization use the freqtrade download-data command. The --analysis-groups option is used to specify the various tabular outputs showing the profit of each group or trade, ranging from the simplest (0) to the most detailed per pair, per buy and per sell tag (4):. Setting the startup_candle_count¶. By carefully configuring freqtrade, you can enhance your automated trading capabilities, maximize profits, Freqtrade is a free and open source crypto trading bot written in Python, designed to support all major exchanges and be controlled via Telegram or builtin Web UI. Skip to content Freqtrade Strategy Quickstart The number of slots is defined by the max_open_trades configuration option. io/en/stable/includes/pairlists/ Example volume pair list. Configuring it correctly is crucial for maximizing trading strategies and FreqAI is configured through the typical Freqtrade config file and the standard Freqtrade strategy. Freqtrade provides means to control the verbosity of your telegram bot. {"text":"Status: running"} body and Content-Type: application/json header which results Status: running message in the Mattermost channel. ref https://www. # user should define the maximum startup candle count (the largest number of candles # passed to any single indicator) startup_candle_count: int = 20 def populate_indicators (self, dataframe: DataFrame, metadata: dict)-> DataFrame: # the model will return all labels created by user in `set_freqai_targets()` # (& appended targets), an indication of whether or not the prediction # user should define the maximum startup candle count (the largest number of candles # passed to any single indicator) startup_candle_count: int = 20 def populate_indicators (self, dataframe: DataFrame, metadata: dict)-> DataFrame: # the model will return all labels created by user in `set_freqai_targets()` # (& appended targets), an indication of whether or not the prediction # user should define the maximum startup candle count (the largest number of candles # passed to any single indicator) startup_candle_count: int = 20 def populate_indicators (self, dataframe: DataFrame, metadata: dict)-> DataFrame: # the model will return all labels created by user in `set_freqai_targets()` # (& appended targets), an indication of whether or not the prediction The bot uses a set of configuration parameters during its operation that all together conform to the bot configuration. When using the Form-Encoded or JSON-Encoded Freqtrade Basics Configuration Strategy Quickstart Strategy Customization Strategy Callbacks Stoploss Plugins Start the bot Control the bot Control the bot Telegram freqUI REST API Web Hook Data Downloading Backtesting Hyperopt FreqAI FreqAI Introduction Configuration Parameter table Feature engineering Running FreqAI Running FreqAI Table of contents The result would be a POST request with e. hyperopt import IHyperOptLoss TARGET_TRADES = 600 EXPECTED_MAX_PROFIT = 3. ; silent - Message will be sent, Notification will be without sound / vibration. json --strategy ExampleStrategy. The Freqtrade configuration file¶ The bot uses a set of configuration parameters during its operation that all together conform to the Free, open source crypto trading bot. json) for you. Exchange and pairs will come from config. Anatomy of a strategy¶. The freqtrade plot-dataframe subcommand shows an interactive graph with three subplots: Main plot with candlestics and indicators following price (sma/ema) -V, --version show program's version number and exit -c PATH, --config PATH Specify configuration file (default: `userdir/config. You can easily set this value by Data Downloading¶ Getting data for backtesting and hyperopt¶. [Optional] Configure freqtrade as a systemd service¶ From the freqtrade repo copy freqtrade. This parameter is set in the main level of the Freqtrade configuration file (not inside FreqAI). This same command can also be used to update freqUI to new new releases. json --strategy SampleStrategy --hyperopt SampleHyperopt -e 1000 --timerange 20190601-20200601. A backup file is always held in case of corruption on the main file. We advise consuming the API by using the supported freqtrade-client package (also available as scripts/rest_client. It normally reads its configuration from a file (Freqtrade configuration file). json (if specified Freqtrade Basics Configuration Strategy Customization Strategy Callbacks Stoploss Plugins Start the bot Control the bot Control the bot Telegram freqUI REST API Web Hook Data Downloading Backtesting Hyperopt FreqAI FreqAI Introduction Configuration Parameter table Feature engineering Running FreqAI Running FreqAI Table of contents Live deployments Automatic docker compose run--rm freqtrade backtesting--config user_data/config. ; Example configuration showing the different settings: The result would be a POST request with e. Encoding a string as BASE64¶ This is a quick example, how to generate the BASE64 string in python # user should define the maximum startup candle count (the largest number of candles # passed to any single indicator) startup_candle_count: int = 20 def populate_indicators (self, dataframe: DataFrame, metadata: dict)-> DataFrame: # the model will return all labels created by user in `set_freqai_targets()` # (& appended targets), an indication of whether or not the prediction It normally reads its configuration from a file (Freqtrade configuration file). json. to do so, please use the following: Data Downloading¶ Getting data for backtesting and hyperopt¶. However, there can be a range of scenarios where generating a signal does not always Setting the startup_candle_count¶. g. Freqtrade is free, open source crypto trading bot The name of the bot is Freqtrade and all info on that can be found here use docker-compose run freqtrade test-pairlist to check the pairlist. It contains Freqtrade Basics Configuration Strategy Customization Strategy Callbacks Stoploss Plugins Start the bot Control the bot Control the bot Telegram freqUI REST API Web Hook Data Downloading Backtesting Hyperopt FreqAI FreqAI Introduction Configuration Parameter table Feature engineering Running FreqAI Running FreqAI Table of contents Live deployments Automatic Set options in the Freqtrade configuration via environment variables. py. json--strategy SampleStrategy--timerange 20190801-20191001-i 5m Head over to the Backtesting Documentation to learn more. freqai. How to use multiple configuration files?¶ The bot allows you to use multiple configuration files by specifying multiple -c/--config options in the command line. Configure the bot¶ Freqtrade has many configurable features and possibilities. To learn how to setup your configuration, please refer to the Bot Configuration documentation page. It is designed to support all major exchanges and be controlled via Telegram or webUI. Meanwhile set_freqai_targets() adds the labels/targets. Freqtrade is a free and open source crypto trading bot written in Python, designed to support all major exchanges and be controlled via Telegram or builtin Web UI # user should define the maximum startup candle count (the largest number of candles # passed to any single indicator) startup_candle_count: int = 20 def populate_indicators (self, dataframe: DataFrame, metadata: dict)-> DataFrame: # the model will return all labels created by user in `set_freqai_targets()` # (& appended targets), an indication of whether or not the prediction Most of the strategy files already include the optimal minimal_roi value. freqtrade. Examples of FreqAI config and strategy files can be found in Freqtrade has many configurable features and possibilities. freqtrade backtesting --export trades --config config. By default, these This page explains the different parameters of the bot and how to run it. You can easily set this value by If you used the Quick start method for installing the bot, the installation script should have already created the default configuration file (config. The startup_candle_count in the FreqAI strategy needs to be set up in the same way as in the standard Freqtrade strategy (see details here). If no additional parameter is specified, freqtrade will download data for "1m" and "5m" timeframes for the last 30 days. Here, you can adjust factors like: cache_size: How many previous orderflow candles are saved into cache instead of calculated every new candle; max_candles: Filter how many candles would you like to get trades data docker compose run--rm freqtrade backtesting--config user_data/config. If you use it in the configuration file, it will override the minimal_roi value from the strategy file. The table below will list all configuration parameters available. json` or `config. Please make sure that you can trust everyone in the telegram group to avoid Data Downloading¶ Getting data for backtesting and hyperopt¶. json (if specified Different template levels. Freqtrade provides a builtin webserver, which can serve FreqUI, the freqtrade frontend. freqUI can also be manually installed by using the freqtrade install-ui command. Each setting has the following possible values: on - Messages will be sent, and user will be notified. Per default, the bot loads configuration from the config. json file, located in the current working directory. When using the Form-Encoded or JSON-Encoded configuration you can configure any number of payload values, and both the key and value will be output in the POST request. Note The self. json configuration file from the current working directory. You can easily set this value by Initialize the Freqtrade configuration: freqtrade new-config; Configure your exchange API keys, trading pairs, and other settings in the config. json to generate a basic configuration file. ; off - Skip sending a message-type all together. json (if specified Freqtrade is a free and open source crypto trading bot written in Python, designed to support all major exchanges and be controlled via Telegram or builtin Web UI. Default: False. Data Downloading¶ Getting data for backtesting and hyperopt¶. persistence import Trade from datetime import timedelta class AwesomeStrategy Example: freqtrade --config config. Freqtrade is an open-source cryptocurrency trading bot designed to facilitate automated trading. Encoding a string as BASE64¶ This is a quick example, how to generate the BASE64 string in python Freqtrade is a free and open source crypto trading bot written in Python, designed to support all major exchanges and be controlled via Telegram or builtin Web UI. However, the bot was tested by the development team with only a few exchanges. The complete up-to-date list can be found in the CCXT repo homepage. It is advisable to start from the template feature_engineering_* Data Downloading¶ Getting data for backtesting and hyperopt¶. This command can be installed independent of any running freqtrade bot by using pip install freqtrade-client. Freqtrade Basics Configuration Strategy Customization Strategy Callbacks Stoploss Plugins Start the bot Control the bot Control the bot Telegram freqUI REST API Web Hook Data Downloading Backtesting Hyperopt FreqAI FreqAI Introduction Configuration Parameter table Feature engineering Running FreqAI Running FreqAI Table of contents Live deployments Automatic Setting the startup_candle_count¶. Configuration Parameter table Feature engineering Running FreqAI Reinforcement Learning Developer guide Short / Leverage Utility Sub-commands Plotting Exchange-specific Notes Data Analysis Freqtrade is a free and open source crypto trading bot written in Python. Using the wrong naming convention in the wrong market will usually result in the bot not recognizing the pair, usually resulting in errors like "this pair is not available". You can easily set this value by Setting the startup_candle_count¶. Configure Orderflow Processing¶ Define your desired settings for orderflow processing within the orderflow section of config. freqtrade trade --config path/to/config. Defining Freqtrade is a free and open source crypto trading bot written in Python, designed to support all major exchanges and be controlled via Telegram or builtin Web UI Recast all numeric columns to float32/int32, with the objective of reducing ram/disk usage and decreasing train/inference timing. This module is designed to be lightweight, and only depends on the requests and python-rapidjson modules, 7. Here, you can adjust factors like: cache_size: How many previous orderflow candles are saved into cache instead of calculated every new candle; max_candles: Filter how many candles would you like to get trades data Freqtrade is a free and open source crypto trading bot written in Python, designed to support all major exchanges and be controlled via Telegram or builtin Web UI. A current list of these can be found in the "Home" section of this documentation. If default configuration file is not created we recommend you to use freqtrade new-config --config config. You can easily set this value by FreqUI¶. Meanwhile, high level feature engineering is handled within "feature_parameters":{} in the FreqAI config. Example: freqtrade --config config. sh, don't forget to activate your virtual environment (source . Over time, use logs and performance metrics to optimize bot settings and strategy parameters. pkl is used to reload the model after a crash or a config change. stop It normally reads its configuration from a file (Freqtrade configuration file). config/systemd/user) and update WorkingDirectory and ExecStart to match your setup. 0: overall winrate and profit summary by enter_tag; 1: profit summaries grouped by enter_tag It normally reads its configuration from a file (Freqtrade configuration file). You can easily set this value by Features include: Self-adaptive retraining - Retrain models during live deployments to self-adapt to the market in a supervised manner; Rapid feature engineering - Create large rich feature sets (10k+ features) based on simple user-created strategies; High performance - Threading allows for adaptive model retraining on a separate thread (or on GPU if available) from model inferencing The freqtrade plot-dataframe subcommand shows an interactive graph with three subplots: Main plot with candlesticks and indicators following price (sma/ema) -V, --version show program's version number and exit -c PATH, --config PATH Specify configuration file (default: `userdir/config. Before a exit order is placed, The result would be a POST request with e. Structure Description; config_*. start Start the bot if it's in the stopped state. This value is used by Freqtrade to ensure that a sufficient amount of data is provided when calling the dataprovider, to avoid any NaNs at the beginning of the first training. If it is not set in either Strategy or Configuration, a default of 1000% {"0": 10} is used, and minimal roi is disabled unless your trade generates 1000% # user should define the maximum startup candle count (the largest number of candles # passed to any single indicator) startup_candle_count: int = 20 def populate_indicators (self, dataframe: DataFrame, metadata: dict)-> DataFrame: # the model will return all labels created by user in `set_freqai_targets()` # (& appended targets), an indication of whether or not the prediction Setting the startup_candle_count¶. The Freqtrade configuration file¶ This is a short and to the point guide for how I set up Freqtrade. Here, you can adjust factors like: cache_size: How many previous orderflow candles are saved into cache instead of calculated every new candle; max_candles: Filter how many candles would you like to get trades data Per default, the bot loads the config. Multiple - Meanwhile, high level feature engineering is handled within "feature_parameters":{} in the FreqAI config. After that you can start the daemon with: Data Downloading¶ Getting data for backtesting and hyperopt¶. Edge module¶ Edge implements interesting approach for controlling position size, is there any theory behind it?¶ The Edge module is mostly a result of brainstorming of @mishaker and @creslinux freqtrade team members. The freqtrade plot-dataframe subcommand shows an interactive graph with three subplots: Main plot with candlesticks and indicators following price (sma/ema) -V, --version show program's version number and exit -c PATH, --config PATH Specify configuration file (default: `userdir/config. The Freqtrade configuration file is to be written in the JSON format. A strategy If multiple files are in the add_config_files section, then they will be assumed to be at identical levels, having the last occurrence override the earlier config (unless a parent already defined such a key). Multiple --config options may be used. # user should define the maximum startup candle count (the largest number of candles # passed to any single indicator) startup_candle_count: int = 20 def populate_indicators (self, dataframe: DataFrame, metadata: dict)-> DataFrame: # the model will return all labels created by user in `set_freqai_targets()` # (& appended targets), an indication of whether or Setting the startup_candle_count¶. json: A copy of the model specific configuration file. json file. json You are ready to run, read Bot Configuration, remember to start with dry_run: True and verify that everything is working. You can specify a different configuration file used by the bot with the -c/--config command-line option. . Determine exit-price based on exit_pricing configuration setting or by using the custom_exit_price() callback. Additional dependencies with docker ¶ Per default, the bot loads the config. Configuration parameters defined in the latter configuration files override parameters with the same name defined in the previous Example: freqtrade --config config. This takes priority over the corresponding value in configuration or strategy. py in the scripts directory. If multiple files are in the add_config_files section, then they will be assumed to be at identical levels, having the last occurrence override the earlier config (unless a parent already defined such a key). pkl: A file containing all historic predictions generated during the lifetime of the identifier model during live deployment. You can easily set this value by Freqtrade Basics Configuration Strategy Customization Strategy Callbacks Strategy Callbacks Table of contents Bot start Bot loop start Stake size management Custom exit signal Custom stoploss Adjust stoploss after position adjustments Custom stoploss examples from freqtrade. # Step 1 - Initialize user folder freqtrade create-userdir--userdir user_data # Step 2 - Create a new configuration file freqtrade new-config--config user_data/config. Here, you can adjust factors like: cache_size: How many previous orderflow candles are saved into cache instead of calculated every new candle; max_candles: Filter how many candles would you like to get trades data The freqtrade plot-dataframe subcommand shows an interactive graph with three subplots: Main plot with candlestics and indicators following price (sma/ema) -V, --version show program's version number and exit -c PATH, --config PATH Specify configuration file (default: `userdir/config. Skip to content Freqtrade -V, --version show program's version number and exit -c PATH, --config PATH Specify configuration file (default: `userdir/config. json (if specified Example: freqtrade --config config. json file located in the current working directory. 0 MAX_ACCEPTED_TRADE_DURATION = 300 class SuperDuperHyperOptLoss freqtrade-client--config rest_config. "pair_whitelist": FreqTrade provides you with with an easy way to embed the strategy into your configuration file. You can specify a different configuration file used by the bot with the -c/--config command line option. This is done by utilizing BASE64 encoding and providing this string at the strategy configuration field, in your chosen config file. This parameter can be set in either Strategy or Configuration file. Exchange configuration¶ Freqtrade is based on CCXT library that supports over 100 cryptocurrency exchange markets and trading APIs. stats Return the stats report (durations, sell-reasons). Freqtrade provides a builtin webserver, which can serve FreqUI, the freqtrade UI. You can easily set this value by from datetime import datetime from typing import Any, Dict from pandas import DataFrame from freqtrade. You can easily set this # user should define the maximum startup candle count (the largest number of candles # passed to any single indicator) startup_candle_count: int = 20 def populate_indicators (self, dataframe: DataFrame, metadata: dict)-> DataFrame: # the model will return all labels created by user in `set_freqai_targets()` # (& appended targets), an indication of whether or not the prediction It normally reads its configuration from a file (Freqtrade configuration file). 0 MAX_ACCEPTED_TRADE_DURATION = 300 class SuperDuperHyperOptLoss . ". Freqtrade can also load many options via command line (CLI) arguments (check out the Setting the startup_candle_count¶. By default, the UI is automatically installed as part of the installation (script, docker). Per default, the bot loads the configuration from the config. Note Features must be defined in feature_engineering_*(). Programmatic use. Use --template minimal to get an empty strategy without any indicator examples, or --template advanced to get a template with more complicated features defined. # user should define the maximum startup candle count (the largest number of candles # passed to any single indicator) startup_candle_count: int = 20 def populate_indicators (self, dataframe: DataFrame, metadata: dict)-> DataFrame: # the model will return all labels created by user in `set_freqai_targets()` # (& appended targets), an indication of whether or not the prediction Most of the strategy files already include the optimal minimal_roi value. Control telegram noise¶. venv/bin/activate) before running Configure the bot¶ Freqtrade has many configurable features and possibilities. # user should define the maximum startup candle count (the largest number of candles # passed to any single indicator) startup_candle_count: int = 20 def populate_indicators (self, dataframe: DataFrame, metadata: dict)-> DataFrame: # the model will return all labels created by user in `set_freqai_targets()` # (& appended targets), an indication of whether or # user should define the maximum startup candle count (the largest number of candles # passed to any single indicator) startup_candle_count: int = 20 def populate_indicators (self, dataframe: DataFrame, metadata: dict)-> DataFrame: # the model will return all labels created by user in `set_freqai_targets()` # (& appended targets), an indication of whether or not the prediction # user should define the maximum startup candle count (the largest number of candles # passed to any single indicator) startup_candle_count: int = 20 def populate_indicators (self, dataframe: DataFrame, metadata: dict)-> DataFrame: # the model will return all labels created by user in `set_freqai_targets()` # (& appended targets), an indication of whether or not the prediction It normally reads its configuration from a file (Freqtrade configuration file). However, there can be a range of scenarios where generating a signal does not always Freqtrade is a free and open source crypto trading bot written in Python, designed to support all major exchanges and be controlled via Telegram or builtin Web UI Freqtrade follows the ccxt naming convention for currencies. Configuration parameters defined in the latter configuration files override parameters with the same name defined in the previous This command will read from the last backtesting results. Environment variables must be prefixed with FREQTRADE__ to be loaded to the freqtrade configuration. json (if specified Freqtrade Basics Configuration Strategy Customization Strategy Callbacks Stoploss Plugins Start the bot Control the bot Control the bot Telegram freqUI REST API Web Hook Data Downloading Backtesting Hyperopt FreqAI FreqAI Introduction Configuration Parameter table Feature engineering Running FreqAI Running FreqAI Table of contents Live deployments Automatic Freqtrade is a free and open source crypto trading bot written in Python, designed to support all major exchanges and be controlled via Telegram or builtin Web UI. status Get the status of open trades. A full example strategy is available in templates/FreqaiExampleStrategy. 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. constants import Config from freqtrade. 3 Using Docker for Installation. Configuration parameters defined in the latter configuration files override parameters with the same name defined in the previous Setting the startup_candle_count¶. By default, these settings are configured via the configuration file (see below). Configuration parameters defined in the latter configuration files override parameters with the same name defined in the previous Configure Orderflow Processing¶ Define your desired settings for orderflow processing within the orderflow section of config. Within this file, it is possible to decide large scale feature expansions on top of the base_features such as "including correlated pairs" or "including informative timeframes" or even "including recent candles. Datatype: Boolean. Reloads the configuration file: show_config: Shows part of the current configuration with relevant settings to operation: status: Lists all open trades: count: Displays number of trades used and available: profit: Display a summary of your profit/loss from close trades and some stats about your performance: forcesell <trade_id> Per default, the bot loads the config. __ serves as level separator, so the format used should correspond to FREQTRADE__{section}__{key}. This is done by utilizing BASE64 encoding and providing this string at the strategy Freqtrade is a free and open source crypto trading bot written in Python, designed to support all major exchanges and be controlled via Telegram or builtin Web UI. Configuration parameters¶. Contribute to freqtrade/freqtrade development by creating an account on GitHub. Multiple - It normally reads its configuration from a file (Freqtrade configuration file). Freqtrade can also load many options via command line (CLI) arguments (check out the Freqtrade is a free and open source crypto trading bot written in Python, designed to support all major exchanges and be controlled via Telegram or builtin Web UI. Freqtrade is a free and open source crypto trading bot written in Python, designed to support all major exchanges and be controlled via Telegram or builtin Web UI. Skip to content Freqtrade Strategy migration Initializing search GitHub More details on how these config defined parameters accelerate feature engineering in the documentation at: https: If multiple files are in the add_config_files section, then they will be assumed to be at identical levels, having the last occurrence override the earlier config (unless a parent already defined such a key). freqtrade new-strategy has an additional parameter, --template, which controls the amount of pre-build information you get in the created strategy. You can easily set this value by Example: freqtrade --config config. optimize. You can easily set this value by Exchange configuration¶ Freqtrade is based on CCXT library that supports over 100 cryptocurrency exchange markets and trading APIs. Freqtrade can also load many options via command line (CLI) arguments (check out the Per default, the bot loads the config. historic_predictions. If it is not set in either Strategy or Configuration, a default of 1000% {"0": 10} is used, and minimal roi is disabled unless your trade generates 1000% If you used the Quick start method for installing the bot, the installation script should have already created the default configuration file (config. You can easily set this Setting the startup_candle_count¶. Notice how the feature_engineering_*() is where features are added. The result would be a POST request with e. Before a exit order is placed, Recast all numeric columns to float32/int32, with the objective of reducing ram/disk usage and decreasing train/inference timing. You can change the name of the configuration file used by the bot with the -c/--config command line option. If you've used setup. service to your systemd user directory (usually ~/. start() function cannot be called outside the populate_indicators(). When using telegram groups, you're giving every member of the telegram group access to your freqtrade bot and to all commands possible via telegram. json` whichever exists). You can easily set this value by Freqtrade is a free and open source crypto trading bot written in Python, designed to support all major exchanges and be controlled via Telegram or builtin Web UI It normally reads its configuration from a file (Freqtrade configuration file). Meanwhile, we from datetime import datetime from typing import Any, Dict from pandas import DataFrame from freqtrade. You can easily set this value by # Step 1 - Initialize user folder freqtrade create-userdir--userdir user_data # Step 2 - Create a new configuration file freqtrade new-config--config user_data/config.
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