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Strategy: HPStrategy_15
Downloaded: 20231219
Stoploss: -0.99
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 1335, in backtest_one_strategy results = self.backtest( ^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/optimize/backtesting.py", line 1213, in backtest data: Dict = self._get_ohlcv_as_lists(processed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/optimize/backtesting.py", line 381, in _get_ohlcv_as_lists df_analyzed = self.strategy.ft_advise_signals(pair_data, {'pair': pair}) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1391, in ft_advise_signals dataframe = self.advise_entry(dataframe, metadata) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1425, in advise_entry df = self.populate_entry_trend(dataframe, metadata) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 225, in populate_entry_trend return self.populate_buy_trend(dataframe, metadata) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/user_data/strategies/HPStrategy_15.py", line 396, in populate_buy_trend self.analyze_price_movements(dataframe=dataframe, metadata=metadata, window=200) File "/freqtrade/user_data/strategies/HPStrategy_15.py", line 253, in analyze_price_movements with open(os.path.join(user_data_directory, 'high_moving_pairs.json'), 'w') as f: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ OSError: [Errno 30] Read-only file system: 'user_data/high_moving_pairs.json'
stoploss: -0.99
timeframe: 1m
hash(sha256): 9af77757a11961341e8e60f5045f36a17a67eced3277d9ea5b80338f45bfb69c
indicators:
rsi_buy USDT BUSD USDC DAI
TUSD PAX USD EUR GBP
rsi_mean EWO ewo_high percent_drop close
ewo_low high_offset_2 dca_min_rsi max_price macdsignal_adjusted
btc_info_ USDT BUSD pct_change fractal_top
fastk turnaround_signal rsi_fast ma_sell_val ema_14
ma_buy_val lambo2_rsi_4_limit volume rsi_4 higher_tf_trend
low_offset price_history bullish_divergence rolling_max high_offset
volume_mean_long date open volatility fastd
base_nb_candles_buy rsi_14 rsi_8 high macdsignal
drawdown ema_8 price_trend_long 

Similar Strategies: (based on used indicators)

Strategy: HPStrategy_10, Similarity Score: 92.73%
Strategy: HPStrategy_11, Similarity Score: 92.73%
Strategy: HPStrategy_12, Similarity Score: 92.73%
Strategy: HPStrategy_13, Similarity Score: 92.73%
Strategy: HPStrategy_14, Similarity Score: 92.73%
Strategy: HPStrategy_4, Similarity Score: 92.73%
Strategy: HPStrategy_7, Similarity Score: 90.91%
Strategy: HPStrategy_8, Similarity Score: 90.91%
Strategy: HPStrategy_16, Similarity Score: 89.09%
Strategy: HPStrategy_6, Similarity Score: 89.09%
Strategy: HPStrategy_17, Similarity Score: 87.27%
Strategy: HPStrategy_2, Similarity Score: 87.27%
Strategy: HPStrategy_20, Similarity Score: 87.27%
Strategy: HPStrategy_3, Similarity Score: 87.27%
Strategy: HPStrategy_9, Similarity Score: 87.27%
Strategy: HPStrategy, Similarity Score: 85.45%
Strategy: EI3v2_tag_cofi_green_1_4, Similarity Score: 72.73%
Strategy: HPStrategy_5, Similarity Score: 72.73%

last change: 2024-09-14 16:00:51