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The s_sniperhyper strategy is a trading strategy implemented as a class in Python. Here is a short description of what the strategy does:
populate_indicators: This function calculates and populates various technical indicators in the input dataframe. These indicators include:
VFI (Volume Flow Indicator)
Aroon Up and Aroon Down
TD Sequential Count
EMA (Exponential Moving Average) with a period of 200
VWMACD (Volume Weighted Moving Average Convergence Divergence)
populate_buy_trend: This function determines the buy signals based on certain conditions.
The buy signals are generated when the following conditions are met: VFI crosses above VFI Moving Average (buy_vfi_cat is True) VFI crosses above zero (buy_vfi_cat2 is True) VFI Moving Average crosses above zero (buy_vfi_cat3 is True) VWMACD crosses above its signal line (buy_vwmacd_cat is True) TKE (Triangular Moving Average KAMA Efficiency Ratio) crosses above a specified value (buy_tke_cat is True) Aroon Up crosses above a specified value (buy_arronup_cat is True) Aroon Down crosses above a specified value (buy_arrondown_cat is True) Close price crosses above the EMA with a period of 200 (buy_emas_cat is True) TD Sequential Count equals a specified value (buy_td_cat is True) Volume is greater than zero populate_sell_trend: This function determines the sell signals based on certain conditions.
The sell signals are generated when the following conditions are met: TKE crosses below a specified value (sell_tke_cat is True) Aroon Down crosses above a specified value (sell_arrondown_cat is True) Aroon Up crosses below a specified value (sell_arronup_cat is True) Volume is greater than zero The functions modify the dataframe by adding a "buy" or "sell" column, which indicates the occurrence of a buy or sell signal, respectively.
The strategy utilizes various technical indicators and conditions to generate trading signals for backtesting purposes.
The buy signals are generated when the following conditions are met: VFI crosses above VFI Moving Average (buy_vfi_cat is True) VFI crosses above zero (buy_vfi_cat2 is True) VFI Moving Average crosses above zero (buy_vfi_cat3 is True) VWMACD crosses above its signal line (buy_vwmacd_cat is True) TKE (Triangular Moving Average KAMA Efficiency Ratio) crosses above a specified value (buy_tke_cat is True) Aroon Up crosses above a specified value (buy_arronup_cat is True) Aroon Down crosses above a specified value (buy_arrondown_cat is True) Close price crosses above the EMA with a period of 200 (buy_emas_cat is True) TD Sequential Count equals a specified value (buy_td_cat is True) Volume is greater than zero populate_sell_trend: This function determines the sell signals based on certain conditions.
The sell signals are generated when the following conditions are met: TKE crosses below a specified value (sell_tke_cat is True) Aroon Down crosses above a specified value (sell_arrondown_cat is True) Aroon Up crosses below a specified value (sell_arronup_cat is True) Volume is greater than zero The functions modify the dataframe by adding a "buy" or "sell" column, which indicates the occurrence of a buy or sell signal, respectively.
The strategy utilizes various technical indicators and conditions to generate trading signals for backtesting purposes.
startup_candle_count : 30 TKE: -55.997%
stoploss: -0.252 timeframe: 15m hash(sha256): 983ee7b8ecc2a60f614271b923f4040b74ed3ec0bd1de11eebbc4014ba7ced03 indicators: aroonup vfi volume TKE vwmacds vwmacd signal vfima close td aroondown TD_count ema200
No similar strategies found. (based on used indicators)
last change: 2023-06-27 22:48:16