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The NostalgiaForInfinityX2 strategy is designed to backtest trading strategies. It starts by populating indicators on different timeframes, including informative indicators related to Bitcoin (BTC) and other indicators specific to the chosen timeframe. The strategy then determines entry and exit points based on certain conditions.
For entry points, the strategy checks various conditions, such as the closing price being higher than certain moving averages (sma_200_4h, sma_50, sma_200_1h, sma_50_1h, sma_200_4h), the closing price being higher than specific support levels (sup_level_4h, sup_level_1h), the closing price being between certain resistance levels (res3_1d), the relationship between exponential moving averages (ema_26 and ema_12), the relative strength index (rsi_14_4h) being below 50.0, and the volume being greater than zero.
For exit points, the strategy currently sets both 'exit_long' and 'exit_short' to zero, indicating no specific exit conditions.
The strategy also includes a time_in_force function that checks if a buy order should be executed based on the current rate and slippage. If the slippage is below a certain threshold (0.038), the function returns True, allowing the buy order to proceed. Otherwise, it returns False. The strategy uses various conditions and indicators to generate buy signals and determine the time to execute trades, but it does not specify a specific trading logic or provide a complete description of the strategy's intended behavior. Further details and additional components of the strategy may be present in other parts of the code.
For entry points, the strategy checks various conditions, such as the closing price being higher than certain moving averages (sma_200_4h, sma_50, sma_200_1h, sma_50_1h, sma_200_4h), the closing price being higher than specific support levels (sup_level_4h, sup_level_1h), the closing price being between certain resistance levels (res3_1d), the relationship between exponential moving averages (ema_26 and ema_12), the relative strength index (rsi_14_4h) being below 50.0, and the volume being greater than zero.
For exit points, the strategy currently sets both 'exit_long' and 'exit_short' to zero, indicating no specific exit conditions.
The strategy also includes a time_in_force function that checks if a buy order should be executed based on the current rate and slippage. If the slippage is below a certain threshold (0.038), the function returns True, allowing the buy order to proceed. Otherwise, it returns False. The strategy uses various conditions and indicators to generate buy signals and determine the time to execute trades, but it does not specify a specific trading logic or provide a complete description of the strategy's intended behavior. Further details and additional components of the strategy may be present in other parts of the code.
stoploss: -0.99 timeframe: 5m hash(sha256): ee401315ca9818312062468a0c9c721bbc62ddbad27d2d68c6682f6202369b90 indicators: sma_200_1h res_level upper bt_agefilter_ok rsi_14_4h res_hlevel ema_200 ema_50 res3_1d close_s close high open close res1 high_s low_s btc_info_ pivot USDTBUSDUSDCDAITUSDPAXUSDEURGBP sma_200_4h xe5 r_14 bb20_2_upp_1h rsi_14_1h volume sma_50_1h sup3 live_data_ok sup_level_4h sup_level_1h xe1 sma_50 date open sup2 5m15m1h4h1d xe4 open_s rsi_14 bb20_2_low bb20_2_upp high sma_200 low_s open_s close_s mid low open close r_480 sup1 sma_50_4h 15m1h4h1d sup3_1d 11 not_downtrend crossed_below_ema_12_26 x
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last change: 2022-08-30 14:17:35