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The "InformativeDecoratorTest" strategy is used for testing purposes in the Freqtrade bot. It is not intended for modification and serves as an internal example. The strategy has the following key features:
Timeframe: The strategy operates on a 5-minute timeframe.
Stoploss: The stop loss is set at -0.10 (10% loss).
Startup candle count: The strategy requires a minimum of 20 candles to start.
The strategy uses informative pairs, which are additional pairs of data used for analysis and decision-making. In this case, it uses the pair 'NEO/USDT' on a 5-minute timeframe as an informative pair. The strategy defines several methods for populating indicators and generating buy/sell signals: populate_buy_trend: This method initializes a 'buy' column in the dataframe and sets it to 0. populate_sell_trend: This method initializes a 'sell' column in the dataframe and sets it to 0. populate_indicators_1h: This method adds an 'rsi' column to the dataframe with a value of 14. It is decorated with two informative decorators for 30-minute and 1-hour timeframes. populate_indicators_neo_1h: This method adds an 'rsi' column to the dataframe with a value of 14. It is decorated with an informative decorator for the 1-hour timeframe using the 'NEO/{stake}' pair format. populate_indicators_eth_btc_1h: This method adds an 'rsi' column to the dataframe with a value of 14. It is decorated with an informative decorator for the 1-hour timeframe using the 'ETH/BTC' pair format. populate_indicators_btc_1h_2: This method adds an 'rsi' column to the dataframe with a value of 14. It is decorated with an informative decorator for the 30-minute timeframe using the 'NEO/{stake}' pair format. The format includes placeholders for various values such as base, quote, asset, and timeframe. populate_indicators_eth_30m: This method adds an 'rsi' column to the dataframe with a value of 14. It is decorated with an informative decorator for the 30-minute timeframe using the 'ETH/{stake}' pair format. The format is defined by a custom formatter function. The populate_indicators method is responsible for populating the indicators for the strategy. It adds an 'rsi' column to the dataframe with a value of 14. It also calculates an 'rsi_less' column, which compares the 'rsi' value with the 'rsi_1h' value from the informative pair. Additionally, it merges data from the informative pair 'NEO/USDT' on a 5-minute timeframe with the main dataframe using the merge_informative_pair function. Overall, the strategy sets up indicators, generates buy/sell signals, and utilizes informative pairs to enhance its analysis and decision-making process.
Stoploss: The stop loss is set at -0.10 (10% loss).
Startup candle count: The strategy requires a minimum of 20 candles to start.
The strategy uses informative pairs, which are additional pairs of data used for analysis and decision-making. In this case, it uses the pair 'NEO/USDT' on a 5-minute timeframe as an informative pair. The strategy defines several methods for populating indicators and generating buy/sell signals: populate_buy_trend: This method initializes a 'buy' column in the dataframe and sets it to 0. populate_sell_trend: This method initializes a 'sell' column in the dataframe and sets it to 0. populate_indicators_1h: This method adds an 'rsi' column to the dataframe with a value of 14. It is decorated with two informative decorators for 30-minute and 1-hour timeframes. populate_indicators_neo_1h: This method adds an 'rsi' column to the dataframe with a value of 14. It is decorated with an informative decorator for the 1-hour timeframe using the 'NEO/{stake}' pair format. populate_indicators_eth_btc_1h: This method adds an 'rsi' column to the dataframe with a value of 14. It is decorated with an informative decorator for the 1-hour timeframe using the 'ETH/BTC' pair format. populate_indicators_btc_1h_2: This method adds an 'rsi' column to the dataframe with a value of 14. It is decorated with an informative decorator for the 30-minute timeframe using the 'NEO/{stake}' pair format. The format includes placeholders for various values such as base, quote, asset, and timeframe. populate_indicators_eth_30m: This method adds an 'rsi' column to the dataframe with a value of 14. It is decorated with an informative decorator for the 30-minute timeframe using the 'ETH/{stake}' pair format. The format is defined by a custom formatter function. The populate_indicators method is responsible for populating the indicators for the strategy. It adds an 'rsi' column to the dataframe with a value of 14. It also calculates an 'rsi_less' column, which compares the 'rsi' value with the 'rsi_1h' value from the informative pair. Additionally, it merges data from the informative pair 'NEO/USDT' on a 5-minute timeframe with the main dataframe using the merge_informative_pair function. Overall, the strategy sets up indicators, generates buy/sell signals, and utilizes informative pairs to enhance its analysis and decision-making process.
stoploss: -0.1 timeframe: 5m hash(sha256): aa16c3eb88218d4547d30893d48e6a5809a3880c0dc70ed436fb20255f8d6eb3 indicators: sell rsi rsi_less buy rsi_1h
No similar strategies found. (based on used indicators)
last change: 2023-10-25 18:18:05