The STRATEGY_DEFAULT class represents a trading strategy that utilizes various technical indicators to generate buy and sell signals for a given dataset. Here is a breakdown of what the strategy does:
populate_indicators: This method takes a dataframe containing exchange data and adds several technical indicators to it. The indicators used include ADX, RSI, Stochastic Fast, MACD, MFI, Bollinger Bands, SAR, TEMA, and Hilbert Transform Sine.
These indicators provide insights into market trends, volatility, and momentum.
populate_buy_trend: This method populates the buy signal for the dataframe based on the values of the indicators.
The conditions for a buy signal include crossing above a certain RSI threshold (30), the TEMA (Triple Exponential Moving Average) being below the middle Bollinger Band, the TEMA rising, and non-zero volume. populate_sell_trend: This method populates the sell signal for the dataframe based on the values of the indicators. The conditions for a sell signal include crossing above a certain RSI threshold (70), the TEMA being above the middle Bollinger Band, the TEMA falling, and non-zero volume. By combining these indicators and their respective conditions, the strategy aims to identify potential buying and selling opportunities in the market. It is important to note that this is just one example of a trading strategy, and the effectiveness of the strategy should be thoroughly tested and evaluated before applying it to real trading scenarios.
These indicators provide insights into market trends, volatility, and momentum.
populate_buy_trend: This method populates the buy signal for the dataframe based on the values of the indicators.
The conditions for a buy signal include crossing above a certain RSI threshold (30), the TEMA (Triple Exponential Moving Average) being below the middle Bollinger Band, the TEMA rising, and non-zero volume. populate_sell_trend: This method populates the sell signal for the dataframe based on the values of the indicators. The conditions for a sell signal include crossing above a certain RSI threshold (70), the TEMA being above the middle Bollinger Band, the TEMA falling, and non-zero volume. By combining these indicators and their respective conditions, the strategy aims to identify potential buying and selling opportunities in the market. It is important to note that this is just one example of a trading strategy, and the effectiveness of the strategy should be thoroughly tested and evaluated before applying it to real trading scenarios.
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/STRATEGY_DEFAULT.py", line 287, in populate_indicators i1 = c1*dataframe["close"] + c2*DataFrame.fillna(i1[1]) ^^ UnboundLocalError: cannot access local variable 'i1' where it is not associated with a value
stoploss: -0.1 timeframe: 5m hash(sha256): b5972c2212cc0ef948188bb392251840e7f8b46b02e542a6d8284fce0a6ce570 indicators: upper htsine tema asks close mfi bb_lowerband bb_percent macdhist fastk htleadsine leadsine volume fastd best_ask sar bids macdsignal mid bb_width coral_trend macd best_bid adx lower bb_middleband rsi bb_upperband sine
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last change: 2024-07-28 02:53:30