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The NostalgiaForInfinityNextGen strategy is a trading strategy that involves populating indicators, determining buy trends, and making buy decisions based on specified conditions. Here is a breakdown of what the strategy does:
Populating Indicators:
The strategy populates various indicators based on different timeframes (5 minutes, 1 hour, 1 day) for the trading pair (BTC) and stake currency. It retrieves BTC informative data and merges it with the current timeframe's data.
It also merges informative data from different timeframes (1 day, 1 hour) if available.
Additionally, it resamples the data to another specified timeframe if required.
Finally, it calculates indicators for the normal (5 minutes) timeframe. Populating Buy Trend: The strategy defines conditions for determining the buy trend. It iterates over buy protection parameters and checks if the buy conditions are enabled. It applies various conditions such as exponential moving averages (EMA), close price above EMA, rising simple moving averages (SMA), safe dips thresholds, and safe pump thresholds. Based on these conditions, it appends a buy tag to the dataframe to indicate a potential buy opportunity. Please note that the provided code snippet seems incomplete, and some parts are missing. The description above covers the available information from the provided code.
It also merges informative data from different timeframes (1 day, 1 hour) if available.
Additionally, it resamples the data to another specified timeframe if required.
Finally, it calculates indicators for the normal (5 minutes) timeframe. Populating Buy Trend: The strategy defines conditions for determining the buy trend. It iterates over buy protection parameters and checks if the buy conditions are enabled. It applies various conditions such as exponential moving averages (EMA), close price above EMA, rising simple moving averages (SMA), safe dips thresholds, and safe pump thresholds. Based on these conditions, it appends a buy tag to the dataframe to indicate a potential buy opportunity. Please note that the provided code snippet seems incomplete, and some parts are missing. The description above covers the available information from the provided code.
stoploss: -0.5 timeframe: 15m hash(sha256): dacd889a1ab78832aec0af09e356e40bcbdd72b3ff7c26135030b993849def68 indicators: sma_200_1h upper open_sha_1d close res1 low_s ema_25 ema_200_1h ewo sma200_rising_val r_480_1h volume sma_200_dec_20 sup_level_1h f"global_buy_protection_paramsclose_under_pivot_type_1d tg_dataframe hl_pct_change_6 ema_20 ewo_ema_1h momdiv_coh hl_pct_change_48_1h rsi_14 high top_grossing_updated close_sha_1d hl_pct_change_36_1h tpct_change_2 close_over_pivot_offset r_480 cci sup_level_1d crossed_below_ema_12_26 vma_20 openclosehighlow bb20_2_mid momdiv_col ema_12 tpct_change_12 btc_not_downtrend
Similar Strategies: (based on used indicators)
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last change: 2023-07-29 20:43:00