The NFINextMultiOffsetAndHO2 strategy is a backtesting strategy that performs various calculations and analysis on financial data to determine buying conditions for trading. Here's a breakdown of what the strategy does:
Populating Indicators:
The strategy starts by populating indicators for the Bitcoin (BTC) pair at different timeframes (5 minutes and 1 hour). It merges the informative pair data with the original dataframe.
It resamples the data to another timeframe if specified.
Finally, it calculates indicators for the normal (5 minutes) timeframe.
Populating Buy Trend: The strategy defines conditions and a buy protection list. It checks for various buy protection parameters and appends corresponding conditions to the protection list. It calculates the rolling volume and applies conditions based on different indicators such as moving averages (EMA), simple moving averages (SMA), relative strength index (RSI), money flow index (MFI), etc. It sets buy conditions based on the defined logic for each condition. The buy conditions involve comparisons between different indicators and price/volume data. Overall, the strategy involves populating indicators for different timeframes, merging and resampling data, and applying buy conditions based on various technical indicators and price/volume data.
It resamples the data to another timeframe if specified.
Finally, it calculates indicators for the normal (5 minutes) timeframe.
Populating Buy Trend: The strategy defines conditions and a buy protection list. It checks for various buy protection parameters and appends corresponding conditions to the protection list. It calculates the rolling volume and applies conditions based on different indicators such as moving averages (EMA), simple moving averages (SMA), relative strength index (RSI), money flow index (MFI), etc. It sets buy conditions based on the defined logic for each condition. The buy conditions involve comparisons between different indicators and price/volume data. Overall, the strategy involves populating indicators for different timeframes, merging and resampling data, and applying buy conditions based on various technical indicators and price/volume data.
startup_candle_count : 480 ema_200_1h: 0.032% ema_200: 0.013% ewo: -1.940% stochrsi_fastd_96: -0.170%
stoploss: -0.99 timeframe: 5m hash(sha256): 1aa0b8ac5ca1b63ae1eacf6edbd0afe17d21cdb23a2a09edf28f2da237e85746 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 buy_condition_4_enable sell_pump_24_1_1h safe_pump_period ema_25 ema_200_1h buy_condition_27_enable safe_dump_50 ewo sma200_rising_val buy_condition_6_enable buy_condition_16_enable r_480_1h safe_pump_24_100 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 buy_condition_29_enable oc_pct_change_48 sell_pump_48_1_1h h
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last change: 2024-05-02 09:24:44