You will be redirected to the original Strategy in 15 seconds.
The NostalgiaForInfinityNextGen strategy is a trading strategy that performs backtesting on various trading pairs. The strategy involves populating indicators, determining buy conditions, and executing buy orders. Here is a breakdown of what the strategy does:
Populating Indicators:
The strategy retrieves BTC price data in different timeframes (5 minutes and 1 hour).
If the stake currency is not one of the specified options, the strategy uses the BTC/USDT pair.
Otherwise, it uses BTC paired with the stake currency.
Indicators are calculated based on the BTC price data for daily, informative, and base timeframes. The informative timeframes can be configured by the user. Informative Timeframe: If configured, additional informative indicators are calculated for the 1-day and 1-hour timeframes. The calculated indicators are merged with the main dataframe. Resampled Timeframe: If configured, the strategy resamples the data to a specified timeframe. Indicators are calculated for the resampled timeframe. The resampled data is merged with the main dataframe. Normal Timeframe Indicators: Indicators are calculated for the normal 5-minute timeframe. Buy Conditions: The strategy evaluates various conditions to determine buy signals. These conditions include exponential moving average (EMA) crossovers, close price above EMAs, rising SMA200, safe dips thresholds, and safe pump thresholds. Item buy protection lists are created based on the configured parameters. The buy conditions are applied to the dataframe, and a buy tag is assigned to qualifying buy signals. The strategy combines multiple indicators and buy conditions to identify potential buying opportunities. The specific parameters and thresholds used can be customized by the user. The overall goal is to generate profitable trading signals based on the backtested data.
If the stake currency is not one of the specified options, the strategy uses the BTC/USDT pair.
Otherwise, it uses BTC paired with the stake currency.
Indicators are calculated based on the BTC price data for daily, informative, and base timeframes. The informative timeframes can be configured by the user. Informative Timeframe: If configured, additional informative indicators are calculated for the 1-day and 1-hour timeframes. The calculated indicators are merged with the main dataframe. Resampled Timeframe: If configured, the strategy resamples the data to a specified timeframe. Indicators are calculated for the resampled timeframe. The resampled data is merged with the main dataframe. Normal Timeframe Indicators: Indicators are calculated for the normal 5-minute timeframe. Buy Conditions: The strategy evaluates various conditions to determine buy signals. These conditions include exponential moving average (EMA) crossovers, close price above EMAs, rising SMA200, safe dips thresholds, and safe pump thresholds. Item buy protection lists are created based on the configured parameters. The buy conditions are applied to the dataframe, and a buy tag is assigned to qualifying buy signals. The strategy combines multiple indicators and buy conditions to identify potential buying opportunities. The specific parameters and thresholds used can be customized by the user. The overall goal is to generate profitable trading signals based on the backtested data.
stoploss: -0.5 timeframe: 15m hash(sha256): d4655a36b7a302e414b6e5ca707eb555307cd767de0661a5f09fa7bad7f298ed 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)
Strategy: NFINextGen, Similarity Score: 97.5%
Strategy: NostalgiaForInfinityNextGen, Similarity Score: 97.5%
Strategy: NostalgiaForInfinityNextGen_141, Similarity Score: 97.5%
Strategy: NostalgiaForInfinityNextGen_142, Similarity Score: 97.5%
Strategy: NostalgiaForInfinityNextGen_2, Similarity Score: 97.5%
Strategy: NostalgiaForInfinityNextGen_295, Similarity Score: 97.5%
Strategy: NostalgiaForInfinityNextGen_637, Similarity Score: 97.5%
Strategy: NostalgiaForInfinityNextGen_742, Similarity Score: 97.5%
Strategy: NFIX_BB_RPB, Similarity Score: 85%
Strategy: NFIX_BB_RPB_v103, Similarity Score: 85%
last change: 2024-02-29 17:32:09