The strategy implemented in this code is called "CombinedBinHClucAndMADV9" and is inspired by the "CombinedBinHAndClucV6" strategy. The main objectives of this strategy are to minimize drawdown, buy at dips, sell quickly to release funds for the next buy, and perform checks on market conditions. Here are the important aspects of the strategy: The strategy uses SSL Channels, which are calculated based on the Average True Range (ATR) and moving averages.
These channels help identify potential buy and sell zones.
The strategy defines a set of buy conditions and parameters that determine when to enter a position.
These conditions include checks on Bollinger Bands, volume changes, RSI (Relative Strength Index) values, and MACD (Moving Average Convergence Divergence) indicators. The strategy implements a custom stop-loss function that manages losing trades and tries to minimize losses. It also includes a trailing stop-loss option. Informative pairs are used to gather additional data from a higher timeframe (1h) to make more informed decisions. The strategy provides a set of general recommendations for optimal performance, including the use of 2 to 4 open trades with unlimited stake and a 5-minute timeframe. It is important to note that this description provides a high-level overview of the strategy. The specific details of how each condition and parameter are used can be found in the code itself.
These channels help identify potential buy and sell zones.
The strategy defines a set of buy conditions and parameters that determine when to enter a position.
These conditions include checks on Bollinger Bands, volume changes, RSI (Relative Strength Index) values, and MACD (Moving Average Convergence Divergence) indicators. The strategy implements a custom stop-loss function that manages losing trades and tries to minimize losses. It also includes a trailing stop-loss option. Informative pairs are used to gather additional data from a higher timeframe (1h) to make more informed decisions. The strategy provides a set of general recommendations for optimal performance, including the use of 2 to 4 open trades with unlimited stake and a 5-minute timeframe. It is important to note that this description provides a high-level overview of the strategy. The specific details of how each condition and parameter are used can be found in the code itself.
startup_candle_count : 200 Recursive Analysis found no issues while using 200 startup_candle_count
data/strategies/MadV9HO.py", line 183, in custom_stoploss candle = dataframe.iloc[-number_of_candle_shift].squeeze() ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexing.py", line 1153, in __getitem__ return self._getitem_axis(maybe_callable, axis=axis) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexing.py", line 1714, in _getitem_axis self._validate_integer(key, axis) File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexing.py", line 1647, in _validate_integer raise IndexError("single positional indexer is out-of-bounds") IndexError: single positional indexer is out-of-bounds
stoploss: -0.99 timeframe: 5m hash(sha256): b84527c579f57f34b51ab95f86af29472f51655249cf276c3fd2e59d4770aa6a indicators: upper ema_200 ema_50 close sma_5 bb_lowerband ema_200_1h volume smaHigh ATR ssl_up sslDown open hlv volume_mean_slow ema_50_1h smaLow high sslUp mid ssl_down_1h ssl_down rsi_1h lower ema_12 bb_middleband rsi bb_upperband ema_26 low ssl_up_1h
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last change: 2024-09-29 02:54:19