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The NostalgiaForInfinityV7 strategy is a trading strategy implemented as a class. It inherits from the IStrategy class. The strategy has several methods, including populate_indicators and populate_buy_trend.
In the populate_indicators method, the strategy calculates various indicators using the input dataframe and metadata.
It generates 1-hour informative indicators, merges them with the main timeframe indicators, and returns the updated dataframe.
The populate_buy_trend method is responsible for determining the buy signals based on specified conditions. It defines multiple protection conditions (buy_01_protections, buy_02_protections, etc.) that depend on various indicators such as EMAs, SMAs, RSI, MFI, etc. These protection conditions are combined using logical operations (AND) and stored in corresponding logic lists (buy_01_logic, buy_02_logic, etc.). The buy signals (buy_01_trigger, buy_02_trigger, etc.) are calculated by applying logical operations (AND) to the corresponding logic lists. If enabled, these buy signals are added to the conditions list. The resulting dataframe is updated with the buy_01_trigger, buy_02_trigger, etc. columns. Overall, the strategy calculates multiple protection conditions based on various indicators and combines them to generate buy signals.
In the populate_indicators method, the strategy calculates various indicators using the input dataframe and metadata.
It generates 1-hour informative indicators, merges them with the main timeframe indicators, and returns the updated dataframe.
The populate_buy_trend method is responsible for determining the buy signals based on specified conditions. It defines multiple protection conditions (buy_01_protections, buy_02_protections, etc.) that depend on various indicators such as EMAs, SMAs, RSI, MFI, etc. These protection conditions are combined using logical operations (AND) and stored in corresponding logic lists (buy_01_logic, buy_02_logic, etc.). The buy signals (buy_01_trigger, buy_02_trigger, etc.) are calculated by applying logical operations (AND) to the corresponding logic lists. If enabled, these buy signals are added to the conditions list. The resulting dataframe is updated with the buy_01_trigger, buy_02_trigger, etc. columns. Overall, the strategy calculates multiple protection conditions based on various indicators and combines them to generate buy signals.
stoploss: -0.99 timeframe: 5m hash(sha256): 80569a425327145b5c74631fd164ada6b331d1daff0120d14cf6dc5dcfd53110
Was not able to fetch indicators from Strategyfile.
last change: 2022-07-02 19:54:08