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The CHTP_vtest strategy is a trading strategy that aims to identify buying opportunities in the market. Here is a breakdown of what the strategy does:
Timeframe and Data:
The strategy operates on the 5-minute timeframe. It requires at least 200 startup candles for calculation.
It processes only new candles.
Indicators: RSI (Relative Strength Index): Calculates the RSI indicator with a time period of 14.
Bollinger Bands: Calculates the Bollinger Bands indicator using a window of 20 and standard deviations of 2. Informative Pair: The strategy uses the "BTC/USDT" pair on the 5-minute timeframe as an informative pair. It retrieves data for the informative pair using the DataProvider. It calculates various indicators for the informative pair, such as PLUS_DI, MINUS_DI, Chaikin Money Flow (CMF), SMA50 (Simple Moving Average with a period of 50), SMA200 (Simple Moving Average with a period of 200), and percentage change (pct). Buy Signal: The strategy generates a buy signal when the following conditions are met: btc_sma_delta is greater than -2. cmf_5m is less than -0.25. minus_di_5m is greater than plus_di_5m. close_5m is less than sma50_5m. btc_bear is True (sma200_5m is less than sma200_5m.shift(10)). rsi is less than 30. pct is greater than -0.05. close is less than or equal to 0.975 times bb_lowerband. body_pct is greater than 70. OR pct is less than -0.05. close is less than or equal to 0.70 times bb_lowerband. close is less than the previous close. volume is greater than 0. Sell Signal: The strategy does not generate sell signals as the sell part is deactivated. Chaikin Money Flow (CMF): The strategy calculates the Chaikin Money Flow indicator, which measures the money flow volume over a given period. CMF is calculated using the close, low, high, and volume values. CMF is used in the buy signal calculation. The strategy defines a minimal ROI (Return on Investment) and a stop loss, and also includes a trailing stop feature. Please note that this is a brief summary of the strategy. For a more detailed understanding, it is recommended to review the code and familiarize yourself with the individual indicators and their parameters.
It processes only new candles.
Indicators: RSI (Relative Strength Index): Calculates the RSI indicator with a time period of 14.
Bollinger Bands: Calculates the Bollinger Bands indicator using a window of 20 and standard deviations of 2. Informative Pair: The strategy uses the "BTC/USDT" pair on the 5-minute timeframe as an informative pair. It retrieves data for the informative pair using the DataProvider. It calculates various indicators for the informative pair, such as PLUS_DI, MINUS_DI, Chaikin Money Flow (CMF), SMA50 (Simple Moving Average with a period of 50), SMA200 (Simple Moving Average with a period of 200), and percentage change (pct). Buy Signal: The strategy generates a buy signal when the following conditions are met: btc_sma_delta is greater than -2. cmf_5m is less than -0.25. minus_di_5m is greater than plus_di_5m. close_5m is less than sma50_5m. btc_bear is True (sma200_5m is less than sma200_5m.shift(10)). rsi is less than 30. pct is greater than -0.05. close is less than or equal to 0.975 times bb_lowerband. body_pct is greater than 70. OR pct is less than -0.05. close is less than or equal to 0.70 times bb_lowerband. close is less than the previous close. volume is greater than 0. Sell Signal: The strategy does not generate sell signals as the sell part is deactivated. Chaikin Money Flow (CMF): The strategy calculates the Chaikin Money Flow indicator, which measures the money flow volume over a given period. CMF is calculated using the close, low, high, and volume values. CMF is used in the buy signal calculation. The strategy defines a minimal ROI (Return on Investment) and a stop loss, and also includes a trailing stop feature. Please note that this is a brief summary of the strategy. For a more detailed understanding, it is recommended to review the code and familiarize yourself with the individual indicators and their parameters.
startup_candle_count : 200 Recursive Analysis found no issues while using 200 startup_candle_count
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 1391, in start self.load_bt_data_detail() File "/freqtrade/freqtrade/optimize/backtesting.py", line 270, in load_bt_data_detail self.detail_data = history.load_data( ^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/data/history/history_utils.py", line 99, in load_data hist = load_pair_history(pair=pair, timeframe=timeframe, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/data/history/history_utils.py", line 57, in load_pair_history return data_handler.ohlcv_load(pair=pair, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/data/history/idatahandler.py", line 320, in ohlcv_load pairdf = self._ohlcv_load( ^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/data/history/featherdatahandler.py", line 62, in _ohlcv_load pairdata = read_feather(filename) ^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/io/feather_format.py", line 129, in read_feather return feather.read_feather( ^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pyarrow/feather.py", line 226, in read_feather return (read_table( ^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pyarrow/feather.py", line 252, in read_table reader = _feather.FeatherReader( ^^^^^^^^^^^^^^^^^^^^^^^ File "pyarrow/_feather.pyx", line 79, in pyarrow._feather.FeatherReader.__cinit__ File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status pyarrow.lib.ArrowInvalid: Not an Arrow file
stoploss: -0.2 timeframe: 5m hash(sha256): a9b7326b4f713734736d4d6be6450545073ed0652c778f60de71dcd3a966156c indicators: body_pct upper close btc_sma_delta minus_di_5m bb_lowerband volume open plus_di_5m plus_di pct cmf_5m high mid sma50 sma50_5m btc_bear minus_di lower cm bb_middleband rsi sma200_5m bb_upperband low close_5m sma200
Similar Strategies: (based on used indicators)
Strategy: Discord_SMAOffsetPlusDemon, Similarity Score: 96.43%
last change: 2024-08-02 01:25:48