The Nostalgia strategy is a trading strategy that involves backtesting multiple indicators and conditions. Here is a brief description of what the strategy does:
Populating Indicators:
Retrieves BTC (Bitcoin) data on different timeframes (5 minutes and 1 hour) and merges it with the main dataframe. Removes unnecessary columns from the merged dataframe.
Retrieves informative data on a different timeframe if specified and merges it with the main dataframe.
Resamples the dataframe to another specified timeframe if required.
Calculates indicators for the normal (5 minutes) timeframe. Populating Entry Trend: Defines a set of conditions and buy protection parameters for entering trades. Calculates buy protection conditions based on indicators like moving averages (EMA), simple moving average (SMA), safe dips, safe pumps, and BTC trends. Defines entry conditions using a combination of buy protection conditions, relative strength index (RSI), money flow index (MFI), Bollinger Bands, and volume. Constructs logical expressions for each entry condition and appends them to a list of conditions. The strategy uses various indicators and conditions to determine the entry points for trades. It incorporates different timeframes and calculates indicators based on price data, moving averages, and other technical analysis tools. The specific details of the indicators and conditions used are not provided in the given code snippet.
Retrieves informative data on a different timeframe if specified and merges it with the main dataframe.
Resamples the dataframe to another specified timeframe if required.
Calculates indicators for the normal (5 minutes) timeframe. Populating Entry Trend: Defines a set of conditions and buy protection parameters for entering trades. Calculates buy protection conditions based on indicators like moving averages (EMA), simple moving average (SMA), safe dips, safe pumps, and BTC trends. Defines entry conditions using a combination of buy protection conditions, relative strength index (RSI), money flow index (MFI), Bollinger Bands, and volume. Constructs logical expressions for each entry condition and appends them to a list of conditions. The strategy uses various indicators and conditions to determine the entry points for trades. It incorporates different timeframes and calculates indicators based on price data, moving averages, and other technical analysis tools. The specific details of the indicators and conditions used are not provided in the given code snippet.
startup_candle_count : 480 ema_200_1h: 0.014% ema_200: -0.004% ewo: -1.247%
stoploss: -0.99 timeframe: 5m hash(sha256): e630254da6430d0ab8abc3759c0b1e4a55a1b32dc5b077b97114563f16a4c87a indicators: sell_pump_36_3_1h sma_200_1h upper safe_pump_type safe_pump_24_30 close tsi_ema_fast ema_15 sell_pump_36_2 sma_5 sell_pump_24_1_1h safe_pump_period ema_25 ema_200_1h safe_dump_50 ewo sma200_rising_val entry_condition_18_enable entry_condition_14_enable safe_pump_24_100 r_480_1h volume rsi_4 sma_200_dec_20 safe_pump_24_120 safe_dips_70 sell_pump_36_1_1h ema_20 safe_pump_48_30 safe_pump_48_100_1h oc_pct_change_48 sell_pump_48_1_1h high tpct_change_2 safe_dips_30 r_480 entry_condition_24_enable sel
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last change: 2024-11-02 01:02:33