Strategy: NFINextMOHO
Downloaded: 20220116
Stoploss: -0.99
Downloaded: 20220116
Stoploss: -0.99
Showing 1 to 12 of 69 entries
| Buys | Avg Prof% | Cum Prof% | Tot Profit% | Avg Duration | Win | Draw | Loss | Win% | DD% | Stake | Exchange | Sharpe | Month |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | -0.25 | -10.94 | -2.53 | 14:18:00 | 32 | 0 | 12 | 72.7 | 7.65 | USDT | kucoin | -1.1 | 202305 |
| 83 | 0.47 | 38.76 | 8.95 | 11:16:00 | 60 | 0 | 23 | 72.3 | 5.27 | USDT | kucoin | 6.86 | 202304 |
| 64 | 0.13 | 8.21 | 1.9 | 15:49:00 | 44 | 0 | 20 | 68.8 | 8.07 | USDT | kucoin | 1.05 | 202303 |
| 75 | -0.46 | -34.29 | -7.92 | 17:20:00 | 47 | 0 | 28 | 62.7 | 12.95 | USDT | kucoin | -4.04 | 202302 |
| 93 | 1.73 | 161.11 | 48.38 | 14:26:00 | 79 | 0 | 14 | 84.9 | 5.12 | USDT | kucoin | 7.83 | 202301 |
| 51 | -0.59 | -29.96 | -9 | 15:02:00 | 31 | 0 | 20 | 60.8 | 10.04 | USDT | kucoin | -1.94 | 202212 |
| 103 | 0.11 | 11.4 | 3.42 | 8:31:00 | 79 | 0 | 24 | 76.7 | 13.34 | USDT | kucoin | 0.71 | 202211 |
| 48 | -0.38 | -18.18 | -5.45 | 16:26:00 | 30 | 0 | 18 | 62.5 | 11.46 | USDT | kucoin | -1.83 | 202210 |
| 36 | -1.41 | -50.76 | -15.24 | 15:54:00 | 21 | 0 | 15 | 58.3 | 16.27 | USDT | kucoin | -5.53 | 202209 |
| 60 | -0.3 | -17.78 | -5.34 | 17:31:00 | 39 | 0 | 21 | 65 | 13.3 | USDT | kucoin | -1.34 | 202208 |
| 87 | 0.88 | 76.37 | 22.93 | 13:52:00 | 70 | 0 | 17 | 80.5 | 5.39 | USDT | kucoin | 6.13 | 202207 |
| 73 | -0.01 | -0.99 | -0.3 | 19:08:00 | 51 | 0 | 22 | 69.9 | 12.68 | USDT | kucoin | -0.02 | 202206 |
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Average Overall
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The NFINextMOHO strategy is designed to backtest trading decisions using a combination of indicators and conditions. Here is a summary of what the strategy does:
populate_indicators: This function populates indicators for different timeframes. It fetches BTC price data for both the base timeframe and an informative timeframe.
It merges the informative data with the base data and performs necessary data cleaning.
populate_buy_trend: This function defines various conditions for buying assets based on different indicators.
It checks for specific conditions such as moving average crossovers, volume thresholds, RSI values, and price patterns. If any of the conditions are met, a buy signal is generated. The strategy involves multiple conditions and indicators to determine buying opportunities. Each condition is defined with specific rules based on different indicators such as moving averages, RSI, volume, and price patterns. When any of these conditions are satisfied, a buy signal is generated.
It merges the informative data with the base data and performs necessary data cleaning.
populate_buy_trend: This function defines various conditions for buying assets based on different indicators.
It checks for specific conditions such as moving average crossovers, volume thresholds, RSI values, and price patterns. If any of the conditions are met, a buy signal is generated. The strategy involves multiple conditions and indicators to determine buying opportunities. Each condition is defined with specific rules based on different indicators such as moving averages, RSI, volume, and price patterns. When any of these conditions are satisfied, a buy signal is generated.
startup_candle_count : 400 ema_100_1h: 0.001% ema_200_1h: 0.078% ewo: 0.086%
stoploss: -0.99 timeframe: 5m hash(sha256): 27d42963533fb01c9189cd917ad7d45cd9cf165b5eb6affb2381ca394168e571 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 rsi_4 sma_200_dec_20 low_offset sell_pump_36_1_1h ema_20 safe_pump_24_1h oc_pct_change_48 sell_pump_48_1_1h safe_pump_36_1h high tpct_change_2 i_offset_sell sell_pump_48_3 rsi_1h bb20_2_mid ema_12 tpct_change_12 sell_pump_48_2 ema_26 safe_pump_24_strict_1h sell_pump_24_1 safe_pump_24_loose_1h safe_pump_36 chop safe_pump_36_strict_1h sma ema tr
Similar Strategies: (based on used indicators)
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last change: 2023-07-01 15:38:54
Freqtrade Strategy Ninja
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