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The akiva6 strategy is a trading strategy implemented in Python. Here is a short description of what the strategy does:
Populate Indicators: This method calculates various technical indicators such as exponential moving averages (EMAs), hull moving average (HMA), simple moving averages (SMAs), EWO (Elliott Wave Oscillator), and relative strength index (RSI) for different time periods. It also merges informative data from a 1-hour timeframe.
Populate Buy Trend: This method determines the conditions for buying.
It checks for specific criteria such as low RSI, close price below a certain moving average (MA) multiplied by an offset, high EWO, and volume above zero.
It assigns a "buy" signal and a corresponding tag based on the conditions met. Populate Sell Trend: This method determines the conditions for selling. It checks for conditions such as the close price above a certain moving average multiplied by an offset, RSI above 50, volume above zero, and the fast RSI greater than the slow RSI. It assigns a "sell" signal based on the conditions met. Calculate SMA Difference: This function calculates the difference between two exponential moving averages (EMAs) divided by the closing price, multiplied by 100. It is used to generate a specific value called "smadif." Overall, the akiva6 strategy uses a combination of technical indicators and specific conditions to generate buy and sell signals for trading.
Populate Buy Trend: This method determines the conditions for buying.
It checks for specific criteria such as low RSI, close price below a certain moving average (MA) multiplied by an offset, high EWO, and volume above zero.
It assigns a "buy" signal and a corresponding tag based on the conditions met. Populate Sell Trend: This method determines the conditions for selling. It checks for conditions such as the close price above a certain moving average multiplied by an offset, RSI above 50, volume above zero, and the fast RSI greater than the slow RSI. It assigns a "sell" signal based on the conditions met. Calculate SMA Difference: This function calculates the difference between two exponential moving averages (EMAs) divided by the closing price, multiplied by 100. It is used to generate a specific value called "smadif." Overall, the akiva6 strategy uses a combination of technical indicators and specific conditions to generate buy and sell signals for trading.
startup_candle_count : 300 ema_100: 0.003% ema_200: -0.004% EWO: -1.064%
Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: -0.04 timeframe: 5m hash(sha256): 04ee0f0be3d46e7dfb3aa808423a6c618c4519fb01c6a34b9692aecf096df9a9 indicators: rsi_buy sell_custom_stoploss_under_rel_1 EWO sell_custom_stoploss_under_rsi_diff_1 ewo_high ema_200 ema_50 ewo_low high_offset_2 close sell_custom_under_rsi_2 ewo_high_2 sell_custom_dec_profit_2 sell_signal rsi_fast ma_sell_val ma_buy_val sell_custom_under_profit_3 volume sell_custom_rsi_2 sell_custom_dec_profit_1 sell_custom_under_rsi_1 low_offset retries sell_custom_under_rsi_3 high_offset low_offset_2 ema_20 base_nb_candles_buy sell_trail_profit_max_1 sma_200 sell_trail_profit_min_2 ___retrie
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last change: 2024-09-29 03:16:49