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Strategy: NFI46
Downloaded: 20220116
Stoploss: -0.99


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The NFI46 strategy is a trading strategy that involves multiple conditions to determine when to buy assets. It uses various indicators and technical analysis tools to identify potential buying opportunities. Here is a brief description of the important parts of the strategy: populate_indicators: This function populates the indicators used by the strategy, including informative 1-hour indicators and normal time frame indicators.

populate_buy_trend: This function defines the buying conditions for the strategy.

It consists of multiple conditions (labeled as conditions), each representing a different buying scenario.

Some of the important conditions include: Condition 1: Involves the comparison of moving averages (ema_50_1h and ema_200_1h) and various other factors like safe dips, safe pump, relative strength index (RSI), and money flow index (MFI). Condition 2: Considers the comparison of moving averages, safe pump conditions, volume, RSI, and other factors. Condition 3: Checks for the close price being higher than a certain moving average multiplied by a relative factor, along with other conditions related to safe pump, Bollinger Bands, and volume. Condition 4: Examines moving averages, safe dips, safe pump, Bollinger Bands, and volume. Condition 5: Considers moving averages, safe dips, safe pump, volume, and the relationship between exponential moving averages (EMA). Condition 6: Involves moving averages, safe dips, volume, and the relationship between exponential moving averages. Condition 7: Similar to Condition 6 but includes an additional RSI condition. Condition 8: Looks at the close price relative to a moving average, moving averages relationship, and the relationship between Smoothed Moving Averages (SMMA). Condition 9: Considers moving averages, safe dips, volume, and the relationship between simple moving average (SMA) and Bollinger Bands. These conditions represent different scenarios in which the strategy may generate a buy signal. The strategy evaluates these conditions based on the input data and returns a DataFrame indicating the buying opportunities.

startup_candle_count : 400
ema_100_1h: 0.001%
ema_200_1h: 0.078%
ewo: 0.086%
stoploss: -0.99
timeframe: 5m
hash(sha256): 3db277f7e4a6ebfc00befe4dd88748be3a856b3e8fbd217f8f01a168fc7528ab
indicators:
sell_pump_36_3_1h sma_200_1h upper close ema_15
sell_pump_36_2 sma_5 safe_pump_36_strict sell_pump_24_1_1h bb_lowerband
ema_200_1h ewo safe_pump_24 volume sell_pump_36_1_1h
ema_20 safe_pump_48_1h safe_pump_24_1h sell_pump_48_1_1h bb_upperband_1h
safe_pump_36_1h high safe_pump_24_normal sell_pump_48_3 rsi_1h
ema_12 sell_pump_48_2 ema_26 safe_pump_24_strict_1h sell_pump_24_1
jaw safe_pump_36 smma_jaw chop safe_pump_36_strict_1h
bbdelta closedelta safe_dips_loose safe_dips_normal safe_pump_48_loose

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last change: 2023-08-02 13:21:29