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The NostalgiaForInfinityNext strategy is a trading strategy that involves backtesting multiple trading scenarios. It consists of several components:
Indicator Population: The strategy populates various indicators based on different timeframes and pairs. It retrieves price data and calculates indicators such as moving averages, volume, and other technical indicators.
The indicators are merged with the original dataframe.
Informative Timeframe: The strategy includes an informative timeframe where additional indicators are calculated and merged with the original dataframe.
This provides more context and information for making trading decisions. Resampling: The strategy resamples the dataframe to another timeframe, if specified. The resampled data is then used to calculate additional indicators, which are merged back into the original dataframe. Buy Trend Conditions: The strategy determines the conditions for entering a buy trend. It checks various parameters such as exponential moving averages (EMA), close price above EMAs, rising SMAs, safe dips thresholds, safe pumps, BTC not in a downtrend, close price over/under pivot points, and other customizable parameters. If the conditions are met, a "buy_tag" is assigned to the corresponding row in the dataframe. Overall, the NostalgiaForInfinityNext strategy focuses on analyzing different indicators and conditions to identify potential buy trends in the market.
The indicators are merged with the original dataframe.
Informative Timeframe: The strategy includes an informative timeframe where additional indicators are calculated and merged with the original dataframe.
This provides more context and information for making trading decisions. Resampling: The strategy resamples the dataframe to another timeframe, if specified. The resampled data is then used to calculate additional indicators, which are merged back into the original dataframe. Buy Trend Conditions: The strategy determines the conditions for entering a buy trend. It checks various parameters such as exponential moving averages (EMA), close price above EMAs, rising SMAs, safe dips thresholds, safe pumps, BTC not in a downtrend, close price over/under pivot points, and other customizable parameters. If the conditions are met, a "buy_tag" is assigned to the corresponding row in the dataframe. Overall, the NostalgiaForInfinityNext strategy focuses on analyzing different indicators and conditions to identify potential buy trends in the market.
stoploss: -0.5 timeframe: 5m hash(sha256): f0f55138dfb6a41a57be2494bace583333b08614a8009cf3d687ab5e5866cf01 indicators: sma_200_1h upper safe_pump_type safe_pump_24_30 leading_senkou_span_b_1h close ema_15 res1 senkou_a sell_pump_36_2 sell_pump_24_1_1h sma_5 low_s safe_pump_period ema_25 ema_200_1h tenkan_sen 39 sma200_rising_val r_480_1h safe_pump_24_100 volume rsi_4 sma_200_dec_20 leading_senkou_span_a f"global_buy_protection_paramsclose_under_pivot_type_1d senkou_a senkou_b safe_pump_24_120 tg_dataframe sell_pump_36_1_1h ema_20 source safe_pump_48_30 momdiv_coh oc_pct_change_48 rsi_14 sell_pump_48_1_1h high to
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last change: 2023-09-15 13:59:11