The "NostalgiaForInfinityV8_9_1" strategy is designed for backtesting trading strategies on a website. Here is a short description of what the strategy does:
It populates indicators: This step involves obtaining and merging various indicators for different timeframes. It retrieves Bitcoin (BTC) data and merges it with the current timeframe and informative timeframe.
It also performs resampling to another timeframe if specified.
Additionally, it calculates indicators for the normal (5m) timeframe.
It populates buy trends: This step defines the conditions for buying assets based on specific parameters. It checks various buy protection conditions, such as exponential moving averages (EMA) crossing above the 200-day EMA, close price crossing above EMAs, rising SMA200, safe dips, safe pump, and BTC 1-hour trend. It then defines multiple buy conditions based on these protection conditions and additional parameters like RSI, MFI, price changes, and volume. Overall, the strategy aims to generate buy signals based on a combination of technical indicators and specific conditions.
It also performs resampling to another timeframe if specified.
Additionally, it calculates indicators for the normal (5m) timeframe.
It populates buy trends: This step defines the conditions for buying assets based on specific parameters. It checks various buy protection conditions, such as exponential moving averages (EMA) crossing above the 200-day EMA, close price crossing above EMAs, rising SMA200, safe dips, safe pump, and BTC 1-hour trend. It then defines multiple buy conditions based on these protection conditions and additional parameters like RSI, MFI, price changes, and volume. Overall, the strategy aims to generate buy signals based on a combination of technical indicators and specific conditions.
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/NostalgiaForInfinityV8_9_1.py", line 2851, in populate_indicators dataframe = self.normal_tf_indicators(dataframe, metadata) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/user_data/strategies/NostalgiaForInfinityV8_9_1.py", line 2767, in normal_tf_indicators dataframe['zlema_1'] = pta.zlma(dataframe['closeKF'], length=1) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas_ta/overlap/zlma.py", line 32, in zlma else: zlma = ema(close_, length=length, **kwargs) # "ema" ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas_ta/overlap/ema.py", line 22, in ema ema = EMA(close, length) ^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/talib/__init__.py", line 64, in wrapper result = func(*_args, **_kwds) ^^^^^^^^^^^^^^^^^^^^^ File "talib/_func.pxi", line 2936, in talib._ta_lib.EMA File "talib/_common.pxi", line 47, in talib._ta_lib._ta_check_success Exception: TA_EMA function failed with error code 2: Bad Parameter (TA_BAD_PARAM)
stoploss: -0.99 timeframe: 5m hash(sha256): 0d17d605da9bd7016fcf5a6d1b11d641e3af9e7fea9c31d6f981d85cdd8a1a87 indicators: sell_pump_36_3_1h sma_200_1h upper safe_pump_type safe_pump_24_30 close tsi_ema_fast ema_15 sell_pump_36_2 sma_5 buy_condition_4_enable sell_pump_24_1_1h safe_pump_period ema_25 ema_200_1h buy_condition_27_enable safe_dump_50 ewo sma200_rising_val buy_condition_6_enable buy_condition_16_enable r_480_1h safe_pump_24_100 volume rsi_4 sma_200_dec_20 safe_pump_24_120 safe_dips_70 sell_pump_36_1_1h ema_20 safe_pump_48_30 safe_pump_48_100_1h buy_condition_29_enable oc_pct_change_48 sell_pump_48_1_1h h
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last change: 2024-04-27 22:33:48