This Git repo contains free buy/sell strategies for Freqtrade.

from freqtrade.strategy import IStrategy, merge_informative_pair from pandas import DataFrame class SampleStrategy(IStrategy): # strategy init stuff... timeframe = '5m' # more strategy init stuff.. def informative_pairs(self): # get access to all pairs available in whitelist.

# Plotting equity line (starting with 0 on day 1 and adding daily profit for each backtested day) import pandas as pd import plotly.express as px from freqtrade.configuration import Configuration from freqtrade.data.btanalysis import load_backtest_stats # strategy = 'SampleStrategy' # config = Configuration.from_files(["user_data/config.json"]) # backtest_dir = config["user_data_dir"] / "backtest_results" stats = load_backtest_stats(backtest_dir) strategy_stats = stats["strategy"][strategy] df = pd.DataFrame(columns=["dates", "equity"], data=strategy_stats["daily_profit"]) df["equity_daily"] = df["equity"].cumsum() fig = px.line(df, x="dates", y="equity_daily") fig.show()

This is a sample strategy to inspire you. More information in https://www.freqtrade.io/en/stable/strategy-customization/ · You can: :return: a Dataframe with all mandatory indicators for the strategies · - Rename the class name (Do not forget to update class_name) - Add any methods you want to build your strategy ·

Different libraries work in different ways to generate indicator values. Please check the documentation of each library to understand how to integrate it into your strategy. You can also check the Freqtrade example strategies to give you ideas.

You may access dataframe in various strategy functions by querying it from dataprovider. from freqtrade.exchange import timeframe_to_prev_date class AwesomeStrategy(IStrategy): def confirm_trade_exit(self, pair: str, trade: 'Trade', order_type: str, amount: float, rate: float, time_in_force: str, exit_reason: str, current_time: 'datetime', **kwargs) -> bool: # Obtain pair dataframe.

Freqst is the ultimate destination for anyone looking to find and explore high-quality freqtrade strategies. Our website features a curated selection of strategies submitted by top-performing traders, each of which has been thoroughly backtested and optimized for performance.

Can be any of ["roi", "stop_loss", "stoploss_on_exchange", "trailing_stop_loss", "exit_signal", "force_exit", "emergency_exit"] :param current_time: datetime object, containing the current datetime :param **kwargs: Ensure to keep this here so updates to this won't break your strategy. :return bool: When True, then the exit-order is placed on the exchange. False aborts the process """ if exit_reason == "force_exit" and trade.calc_profit_ratio(rate) < 0: # Reject force-sells with negative profit # This is just a sample, please adjust to your needs # (this does not necessarily make sense, assuming you know when you're force-selling) return False return True

May 29, 2022 - # pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement import talib.abstract as ta from pandas import DataFrame import freqtrade.vendor.qtpylib.indicators as qtpylib from freqtrade.strategy.interface import IStrategy class DefaultStrategy(IStrategy): """ Default Strategy provided by freqtrade bot. Please do not modify this strategy, it's intended for internal use only. Please look at the SampleStrategy in the user_data/strategy directory or strategy repository https://github.com/freqtrade/freqtrade-strategies for samples and inspiration.

├── backtest_results ├── data ├── hyperopt_results ├── hyperopts │ ├── sample_hyperopt_loss.py ├── notebooks │ └── strategy_analysis_example.ipynb ├── plot └── strategies └── sample_strategy.py · Creates a new configuration file, asking some questions which are important selections for a configuration. usage: freqtrade new-config [-h] [-c PATH] options: -h, --help show this help message and exit -c, --config PATH Specify configuration file (default: `userdir/config.json` or `config.json` whichever exists).

from freqtrade.strategy import IStrategy, merge_informative_pair from pandas import DataFrame class SampleStrategy(IStrategy): # strategy init stuff... timeframe = '5m' # more strategy init stuff.. def informative_pairs(self): # get access to all pairs available in whitelist.

March 31, 2023 - Learn more about how to use freqtrade, based on freqtrade code examples created from the most popular ways it is used in public projects

A Trading strategy for the Freqtrade crypto bot.

freqtrade trade --config config_examples/config_freqai.example.json --strategy FreqaiExampleStrategy --freqaimodel LightGBMRegressor --strategy-path freqtrade/templates

September 9, 2022 - You can find it under freqtrade-bot/user_data/strategies/sample_strategy.py.

Copy your working user_data/strategies/<exchange>/config_<exchange>.json to * user_data/strategies/<exchange>/config_<exchange>_short.json* Add the following lines in the main section of your configuration: ... You can only use pairs that support margin trading. To find these, run the following command: freqtrade list-pairs --exchange <exchange> --trading-mode futures

May 11, 2018 - Free trading strategies for Freqtrade bot

August 4, 2023 - # Strategy file example from freqtrade.strategy import IStrategy import talib.abstract as ta class…

https://www.freqtrade.io/en/stable/freqai-feature-engineering/#defining-the-features · · :param dataframe: strategy dataframe which will receive the features · :param period: period of the indicator - usage example: :param metadata: metadata of current pair ·

If anyone is looking to get into Trading bots, I created this fairly easy to follow guide for how to set up a Freqtrade from scratch. Including all the server commands you need to get up and running. ... This is the official word on that from the discord "REMINDER: Basic strategies to get you started with developing your own strats - these aren't for live use!