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The "Combined_NFIv7_SMA_Rallipanos_20210707" strategy is a trading strategy that involves combining multiple indicators and conditions to generate buy signals. Here is a breakdown of its main components:
populate_indicators(): This method is responsible for populating the indicators used in the strategy. It takes a DataFrame and metadata as input and returns the modified DataFrame with the indicators.
populate_buy_trend(): This method generates buy signals based on various conditions.
It creates a list of conditions that need to be satisfied for a buy signal to occur.
Some of the important conditions include: RSI (Relative Strength Index): The RSI_slow_descending indicator should have a rolling sum of 1, indicating a descending trend. RSI_fast: The RSI_fast value should be less than 35. Uptrend_1h: The uptrend_1h value should be greater than 0, indicating an uptrend. Close and Open Prices: The close price should be less than the lower moving average (ma_lower), and the open price should be greater than the lower moving average. Volume: The volume should be greater than 0. EMA (Exponential Moving Average): Various conditions are checked involving EMA values and their relationships with open and low prices. Other Protections: The strategy includes additional buy protections based on conditions such as EMA_slow, close_above_ema_fast, sma200_rising, safe_dips, and safe_pump. The logic combines these conditions using logical operators (AND) to determine the buy signals. The resulting buy signals are stored in the 'buy_01_trigger', 'buy_02_trigger', 'buy_03_trigger', and so on, columns of the DataFrame. The strategy allows enabling or disabling different sets of conditions using boolean flags (e.g., buy_condition_1_enable, buy_condition_2_enable). By modifying these flags and adjusting the parameter values, the strategy can be customized to fit specific trading preferences.
populate_buy_trend(): This method generates buy signals based on various conditions.
It creates a list of conditions that need to be satisfied for a buy signal to occur.
Some of the important conditions include: RSI (Relative Strength Index): The RSI_slow_descending indicator should have a rolling sum of 1, indicating a descending trend. RSI_fast: The RSI_fast value should be less than 35. Uptrend_1h: The uptrend_1h value should be greater than 0, indicating an uptrend. Close and Open Prices: The close price should be less than the lower moving average (ma_lower), and the open price should be greater than the lower moving average. Volume: The volume should be greater than 0. EMA (Exponential Moving Average): Various conditions are checked involving EMA values and their relationships with open and low prices. Other Protections: The strategy includes additional buy protections based on conditions such as EMA_slow, close_above_ema_fast, sma200_rising, safe_dips, and safe_pump. The logic combines these conditions using logical operators (AND) to determine the buy signals. The resulting buy signals are stored in the 'buy_01_trigger', 'buy_02_trigger', 'buy_03_trigger', and so on, columns of the DataFrame. The strategy allows enabling or disabling different sets of conditions using boolean flags (e.g., buy_condition_1_enable, buy_condition_2_enable). By modifying these flags and adjusting the parameter values, the strategy can be customized to fit specific trading preferences.
stoploss: -0.99 timeframe: 5m hash(sha256): 7c418bfb65492eae17271e1e3bf09ce80e42e986b26b4651b2c723d8514730fe
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last change: 2022-07-02 19:54:08