The NFI46FrogZ strategy is a trading strategy implemented as a class that inherits from the IStrategy class. Here is a brief description of what the strategy does:
The populate_indicators method is responsible for populating the indicators used in the strategy. It takes a DataFrame and metadata as inputs and returns a modified DataFrame with the indicators.
The method retrieves informative data for a specific pair, applies indicators to the data, and merges it with the original data.
It also performs additional transformations and renames columns.
The resulting DataFrame is returned. The populate_buy_trend method populates the buy signals for the strategy. It takes a DataFrame and metadata as inputs and returns a modified DataFrame with buy signals. The method defines multiple conditions for buying based on various indicators and criteria such as moving averages, relative strength index (RSI), volume, and price patterns. If any of the conditions are met, a buy signal is generated for the corresponding data point. Overall, the strategy combines multiple indicators and conditions to determine buy signals for trading. It utilizes indicators such as moving averages, RSI, and volume to identify favorable buying opportunities in the market.
The method retrieves informative data for a specific pair, applies indicators to the data, and merges it with the original data.
It also performs additional transformations and renames columns.
The resulting DataFrame is returned. The populate_buy_trend method populates the buy signals for the strategy. It takes a DataFrame and metadata as inputs and returns a modified DataFrame with buy signals. The method defines multiple conditions for buying based on various indicators and criteria such as moving averages, relative strength index (RSI), volume, and price patterns. If any of the conditions are met, a buy signal is generated for the corresponding data point. Overall, the strategy combines multiple indicators and conditions to determine buy signals for trading. It utilizes indicators such as moving averages, RSI, and volume to identify favorable buying opportunities in the market.
startup_candle_count : 400 ema_100_1h: 0.001% ema_200_1h: 0.078% ewo: 0.086%
stoploss: -0.99 timeframe: 5m hash(sha256): 6f9f3884189e82a5589e10e339bb04fea3449b3d2bd4351566d042e24eeafab5 indicators: sell_pump_36_3_1h sma_200_1h upper close HA_Close ema_15 sell_pump_36_2 safe_pump_36_strict sell_pump_24_1_1h bb_lowerband sma_5 ema_200_1h ewo date candleuptrend safe_pump_24 HA_High volume smaHigh sslDown sell_pump_36_1_1h ema_20 safe_pump_48_1h safe_pump_24_1h DI sell_pump_48_1_1h bb_upperband_1h safe_pump_36_1h high sslUp emac date sroc safe_pump_24_normal sell_pump_48_3 rsi_1h atr adx openclosehigh hhlow ema_12 sell_pump_48_2 ema_26 runmode safe_pump_24_strict_1h Smooth_HA_C active_trade HA
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last change: 2024-05-02 15:48:42