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The NostalgiaForInfinityX2 strategy is a trading strategy implemented as a class in a backtesting website. Here is a short description of what the strategy does:
The strategy first populates informative indicators related to Bitcoin (BTC) on different timeframes, such as daily (1d), 4-hourly (4h), hourly (1h), 15-minute (15m), and 5-minute (5m). These indicators provide additional information about BTC's price, volume, and other metrics.
Next, the strategy populates indicators on informative timeframes other than BTC, using the metadata provided.
These indicators are merged with the base timeframe (5m) data.
The strategy then applies specific conditions to determine the entry trend. These conditions include checks on moving averages (sma), support and resistance levels, exponential moving averages (ema), relative strength index (rsi), and volume. If these conditions are met, the strategy marks the corresponding entry tag. For the exit trend, the strategy does not perform any specific calculations or checks. It initializes the exit_long and exit_short variables to zero. The time_in_force function is responsible for determining if a buy order can be executed based on the current rate, data from the last row of the analyzed dataframe, and slippage. If the slippage is within a certain threshold, the function returns True, indicating that the buy order can be executed. Lastly, there are two functions defined for checking conditions in a given row data. One function checks if the values in the row data are decreasing, while the other checks if the values are increasing. Overall, the NostalgiaForInfinityX2 strategy incorporates various indicators and conditions to determine entry points for trades, with the goal of maximizing profit potential.
Next, the strategy populates indicators on informative timeframes other than BTC, using the metadata provided.
These indicators are merged with the base timeframe (5m) data.
The strategy then applies specific conditions to determine the entry trend. These conditions include checks on moving averages (sma), support and resistance levels, exponential moving averages (ema), relative strength index (rsi), and volume. If these conditions are met, the strategy marks the corresponding entry tag. For the exit trend, the strategy does not perform any specific calculations or checks. It initializes the exit_long and exit_short variables to zero. The time_in_force function is responsible for determining if a buy order can be executed based on the current rate, data from the last row of the analyzed dataframe, and slippage. If the slippage is within a certain threshold, the function returns True, indicating that the buy order can be executed. Lastly, there are two functions defined for checking conditions in a given row data. One function checks if the values in the row data are decreasing, while the other checks if the values are increasing. Overall, the NostalgiaForInfinityX2 strategy incorporates various indicators and conditions to determine entry points for trades, with the goal of maximizing profit potential.
stoploss: -0.99 timeframe: 5m hash(sha256): e243ab654200c512958e1661afc3caa5495ef19b61ef465fd3613cc20001b3bb 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: 2022-09-18 00:51:04