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The NostalgiaForInfinityX2 strategy is a trading strategy implemented as a class. It inherits from the IStrategy class. The strategy has two main functions: populate_indicators and populate_entry_trend.
In the populate_indicators function, the strategy calculates and populates various indicators based on different timeframes.
It starts by fetching BTC informative indicators and merging them with the base timeframe data.
Then it drops unnecessary columns from the dataframe. Next, it fetches and merges indicators for informative timeframes and performs similar column dropping operations. Finally, it calculates indicators for the base timeframe (5 minutes) and returns the updated dataframe. In the populate_entry_trend function, the strategy defines conditions for entry into a trade. It iterates over a set of buy parameters and constructs logical conditions based on the dataframe's data. The conditions involve comparisons between different indicators, moving averages, percentage changes, and other factors. If the conditions for a specific buy parameter are met, an enter tag is assigned to the corresponding row in the dataframe. Overall, the NostalgiaForInfinityX2 strategy aims to generate trading signals based on the calculated indicators and entry conditions.
In the populate_indicators function, the strategy calculates and populates various indicators based on different timeframes.
It starts by fetching BTC informative indicators and merging them with the base timeframe data.
Then it drops unnecessary columns from the dataframe. Next, it fetches and merges indicators for informative timeframes and performs similar column dropping operations. Finally, it calculates indicators for the base timeframe (5 minutes) and returns the updated dataframe. In the populate_entry_trend function, the strategy defines conditions for entry into a trade. It iterates over a set of buy parameters and constructs logical conditions based on the dataframe's data. The conditions involve comparisons between different indicators, moving averages, percentage changes, and other factors. If the conditions for a specific buy parameter are met, an enter tag is assigned to the corresponding row in the dataframe. Overall, the NostalgiaForInfinityX2 strategy aims to generate trading signals based on the calculated indicators and entry conditions.
stoploss: -0.99 timeframe: 5m hash(sha256): 1f222d51f77ade4d3df16e8ff210e1cad79fe49e63244fe2dc36c3287595ced5 indicators: sma_200_1h upper not_downtrend_4h close res1 low_s not_downtrend_1h ema_200_1h pct_close_max_24 profit sma_12 volume xe1 r_480_4h sma_50 hl_pct_change_6 hl_pct_change_48_1h rsi_14 high ema_12_4h tpct_change_2 btc_is_bull_4h r_480 sma_12_4h cti_20 crossed_below_ema_12_26 xe6 openclosehighlow bb20_2_mid ha_high ema_12 tpct_change_12 T3Average force_entry 1 2 3 runmode ema_26 res_level close_max_48 pct_close_max_72 pivot USDTBUSDUSDCDAITUSDPAXUSDEURGBP hl_pct_change_12_1h bb20_2_upp_1h live_data_ok
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last change: 2022-11-28 02:00:46