The "SmoothScalp" strategy is designed to generate a large number of potential buy signals and make small profits on each trade. It is recommended to have at least 60 parallel trades active at any given time to cover unavoidable losses. Here are the key components of the strategy:
Minimal ROI (Return on Investment): The strategy aims for a minimal ROI of 0.01 (1%).
This means that each trade should aim to achieve at least a 1% profit.
Stoploss: The optimal stoploss for the strategy is set at -0.5 (-50%).
This means that if a trade reaches a 50% loss, it will be closed automatically to limit further losses. Ticker Interval: The strategy is designed to work on 1-minute candlestick data. It operates on short intervals to identify quick trading opportunities. The strategy uses several technical indicators to make buy and sell decisions. Here are the indicators used: Exponential Moving Averages (EMA): Three EMAs are calculated based on the high, close, and low prices of the candlesticks. Stochastic Oscillator (STOCH): The fast %K and %D values of the Stochastic Oscillator are calculated. Average Directional Index (ADX): The ADX is calculated to measure the strength of a trend. Commodity Channel Index (CCI): The CCI is calculated to identify overbought and oversold conditions. Relative Strength Index (RSI): The RSI is calculated to measure the momentum of price changes. Money Flow Index (MFI): The MFI is calculated to evaluate the inflow and outflow of money in a security. Bollinger Bands: The lower, upper, and middle Bollinger Bands are calculated. Moving Average Convergence Divergence (MACD): The MACD line, signal line, and histogram are calculated. The buy signals are generated based on the following conditions: The opening price is below the EMA (low). The ADX is greater than 30, indicating a strong trend. The MFI is less than 30, indicating oversold conditions. Both the %K and %D values of the Stochastic Oscillator are below 30 and have crossed above each other. The CCI is below -150, indicating an oversold condition. The sell signals are generated based on the following conditions: The opening price is above the EMA (high). Either the %K or %D value of the Stochastic Oscillator has crossed above 70. The CCI is above 150, indicating an overbought condition. Please note that this is a simplified description of the strategy, and further analysis may be required to fully understand its functionality and effectiveness.
This means that each trade should aim to achieve at least a 1% profit.
Stoploss: The optimal stoploss for the strategy is set at -0.5 (-50%).
This means that if a trade reaches a 50% loss, it will be closed automatically to limit further losses. Ticker Interval: The strategy is designed to work on 1-minute candlestick data. It operates on short intervals to identify quick trading opportunities. The strategy uses several technical indicators to make buy and sell decisions. Here are the indicators used: Exponential Moving Averages (EMA): Three EMAs are calculated based on the high, close, and low prices of the candlesticks. Stochastic Oscillator (STOCH): The fast %K and %D values of the Stochastic Oscillator are calculated. Average Directional Index (ADX): The ADX is calculated to measure the strength of a trend. Commodity Channel Index (CCI): The CCI is calculated to identify overbought and oversold conditions. Relative Strength Index (RSI): The RSI is calculated to measure the momentum of price changes. Money Flow Index (MFI): The MFI is calculated to evaluate the inflow and outflow of money in a security. Bollinger Bands: The lower, upper, and middle Bollinger Bands are calculated. Moving Average Convergence Divergence (MACD): The MACD line, signal line, and histogram are calculated. The buy signals are generated based on the following conditions: The opening price is below the EMA (low). The ADX is greater than 30, indicating a strong trend. The MFI is less than 30, indicating oversold conditions. Both the %K and %D values of the Stochastic Oscillator are below 30 and have crossed above each other. The CCI is below -150, indicating an oversold condition. The sell signals are generated based on the following conditions: The opening price is above the EMA (high). Either the %K or %D value of the Stochastic Oscillator has crossed above 70. The CCI is above 150, indicating an overbought condition. Please note that this is a simplified description of the strategy, and further analysis may be required to fully understand its functionality and effectiveness.
Traceback (most recent call last): File "/freqtrade/freqtrade/main.py", line 42, in main return_code = args['func'](args) ^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/commands/optimize_commands.py", line 58, in start_backtesting backtesting.start() File "/freqtrade/freqtrade/optimize/backtesting.py", line 1401, in start min_date, max_date = self.backtest_one_strategy(strat, data, timerange) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/optimize/backtesting.py", line 1318, in backtest_one_strategy preprocessed = self.strategy.advise_all_indicators(data) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1378, in advise_all_indicators return {pair: self.advise_indicators(pair_data.copy(), {'pair': pair}).copy() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1378, inreturn {pair: self.advise_indicators(pair_data.copy(), {'pair': pair}).copy() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1410, in advise_indicators return self.populate_indicators(dataframe, metadata) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/user_data/strategies/SmoothScalp.py", line 42, in populate_indicators stoch_fast = ta.STOCHF(dataframe, 5.0, 3.0, 0.0, 3.0, 0.0) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "talib/_abstract.pxi", line 444, in talib._ta_lib.Function.__call__ File "talib/_abstract.pxi", line 310, in talib._ta_lib.Function.set_function_args File "talib/_abstract.pxi", line 513, in talib._ta_lib.Function.__check_opt_input_value TypeError: Invalid parameter value for fastk_period (expected int, got float)
stoploss: -0.5 timeframe: 1m hash(sha256): 949331b54d874030db451eea5adb2c0d15f87f2e8c7c10bffc53853a6374912c indicators: upper ema_close close mfi bb_lowerband macdhist fastk open fastd macdsignal mid ema_high cci macd ema_low adx lower bb_middleband rsi bb_upperband
Similar Strategies: (based on used indicators)
Strategy: SmoothScalpMOD, Similarity Score: 95.24%
Strategy: SmoothScalpV2, Similarity Score: 95.24%
Strategy: SmoothScalpV3, Similarity Score: 95.24%
Strategy: SmoothScalp_121, Similarity Score: 95.24%
Strategy: SmoothScalp_2, Similarity Score: 95.24%
Strategy: SmoothScalp_256, Similarity Score: 95.24%
Strategy: SmoothScalp_3, Similarity Score: 95.24%
Strategy: SmoothScalp_321, Similarity Score: 95.24%
Strategy: SmoothScalp_386, Similarity Score: 95.24%
Strategy: SmoothScalp_4, Similarity Score: 95.24%
Strategy: SmoothScalp_831, Similarity Score: 95.24%
Strategy: StrategyScalpingFast, Similarity Score: 95.24%
Strategy: reinforced_scalp, Similarity Score: 95.24%
Strategy: tSmoothScalp, Similarity Score: 95.24%
Strategy: tSmoothScalp2, Similarity Score: 95.24%
Strategy: tSmoothScalp20230110, Similarity Score: 95.24%
Strategy: tSmoothScalp230109, Similarity Score: 95.24%
Strategy: tSmoothScalp4, Similarity Score: 95.24%
Strategy: tSmoothScalp5, Similarity Score: 95.24%
last change: 2024-07-27 23:45:59