The NFI5MOHO_WIP strategy is a backtesting strategy designed for trading. It involves several conditions that determine when to buy assets based on various indicators and market data. Here's a breakdown of the important parts of the strategy:
populate_indicators: This function is responsible for populating indicators used in the strategy.
It combines data from different timeframes and performs calculations to generate indicators.
populate_buy_trend: This function defines the conditions for buying assets.
It contains multiple conditions.append() statements, each representing a specific buy condition. Here are some key conditions: Condition 1: It checks for the crossing of moving averages (EMA and SMA), safe dips and pumps, relative price increase, RSI and MFI values, and positive volume. Condition 2: It checks for moving average crossings, safe pumps, volume thresholds, RSI and MFI values, and price position relative to Bollinger Bands. Condition 3: It checks for price movements relative to exponential moving averages, safe pumps, Bollinger Bands, and volume patterns. Condition 4: It checks for moving average crossings, safe dips, safe pumps, price position relative to Bollinger Bands, and volume thresholds. Condition 5: It checks for exponential moving average crossings, safe dips, safe pumps, RSI values, volume patterns, and Bollinger Bands. Condition 6: It checks for exponential moving average crossings, safe dips, safe pumps, volume patterns, and Bollinger Bands. Condition 7: It checks for exponential moving average crossings, safe dips, safe pumps, volume patterns, RSI values, and Bollinger Bands. Condition 8: It checks for exponential moving average crossings, safe dips, safe pumps, RSI values, volume thresholds, and specific price patterns. Condition 9: It checks for moving average crossings, safe dips, safe pumps, volume patterns, RSI and MFI values, and price position relative to moving averages and Bollinger Bands. Condition 10: It checks for exponential moving average crossings, safe dips, safe pumps, volume patterns, RSI values, and price position relative to moving averages and Bollinger Bands. Condition 11: It checks for exponential moving average crossings, safe dips, safe pumps, and specific price patterns. The strategy combines these conditions to determine when to execute buy orders. It utilizes various indicators such as moving averages, Bollinger Bands, RSI, MFI, and volume patterns to identify potential buying opportunities.
It combines data from different timeframes and performs calculations to generate indicators.
populate_buy_trend: This function defines the conditions for buying assets.
It contains multiple conditions.append() statements, each representing a specific buy condition. Here are some key conditions: Condition 1: It checks for the crossing of moving averages (EMA and SMA), safe dips and pumps, relative price increase, RSI and MFI values, and positive volume. Condition 2: It checks for moving average crossings, safe pumps, volume thresholds, RSI and MFI values, and price position relative to Bollinger Bands. Condition 3: It checks for price movements relative to exponential moving averages, safe pumps, Bollinger Bands, and volume patterns. Condition 4: It checks for moving average crossings, safe dips, safe pumps, price position relative to Bollinger Bands, and volume thresholds. Condition 5: It checks for exponential moving average crossings, safe dips, safe pumps, RSI values, volume patterns, and Bollinger Bands. Condition 6: It checks for exponential moving average crossings, safe dips, safe pumps, volume patterns, and Bollinger Bands. Condition 7: It checks for exponential moving average crossings, safe dips, safe pumps, volume patterns, RSI values, and Bollinger Bands. Condition 8: It checks for exponential moving average crossings, safe dips, safe pumps, RSI values, volume thresholds, and specific price patterns. Condition 9: It checks for moving average crossings, safe dips, safe pumps, volume patterns, RSI and MFI values, and price position relative to moving averages and Bollinger Bands. Condition 10: It checks for exponential moving average crossings, safe dips, safe pumps, volume patterns, RSI values, and price position relative to moving averages and Bollinger Bands. Condition 11: It checks for exponential moving average crossings, safe dips, safe pumps, and specific price patterns. The strategy combines these conditions to determine when to execute buy orders. It utilizes various indicators such as moving averages, Bollinger Bands, RSI, MFI, and volume patterns to identify potential buying opportunities.
startup_candle_count : 300 ema_100_1h: -0.001% ema_200_1h: -0.187% ema_100: 0.003% ema_200: -0.004% ewo: -1.064%
stoploss: -0.99 timeframe: 5m hash(sha256): dc6b55351e6f45181fe8947563e05cf8767497f0c80114cee364f388e60b3db8 indicators: sma_200_1h upper ema_200 ema_50 safe_dips safe_pump_24_loose_1h close safe_pump_36 ema_15 tail sma_5 safe_pump_36_strict chop bb_lowerband safe_pump_24_strict mfi safe_pump_48_strict ema_200_1h sma ema trima t3 kama bbdelta ewo safe_pump_36_strict_1h safe_pump_24 volume low_offset ema_100_1h i_offset_buy closedelta ema_20 high_offset open safe_pump_36_loose safe_dips_loose safe_pump_24_1h safe_dips_strict volume_mean_30 ema_50_1h bb_upperband_1h sma_200 safe_pump_48_loose volume_mean_4 safe_pump
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last change: 2024-05-02 23:12:12