Not Enough Data to display!
Average Overall
| Not Enough Data! / Avg statistics not populated yet. |
|---|
The FRAYSTRAT strategy is a trading strategy that utilizes various technical analysis (TA) indicators to generate buy and sell signals. Here is a summary of what the strategy does:
populate_indicators: This function takes a DataFrame of exchange data and adds several TA indicators to it, including ADX, RSI, Stochastic Fast, MACD, MFI, Bollinger Bands, EMA (Exponential Moving Average), SAR, TEMA (Triple Exponential Moving Average), and HT_SINE. populate_buy_trend: This function populates the buy signal for the given DataFrame based on the TA indicators.
The conditions for a buy signal include the RSI crossing above a specified threshold, the TEMA being below the Bollinger Bands middle band, the TEMA showing an upward trend, the TEMA being below the EMA7, and the volume being greater than 0.
There are additional conditions involving the EMA12, MACD, and RSI for generating buy signals.
populate_sell_trend: This function populates the sell signal for the DataFrame based on the TA indicators. The conditions for a sell signal include the RSI crossing above a specified threshold, the TEMA being above the Bollinger Bands middle band, the TEMA showing a downward trend, and the volume being greater than 0. There are additional conditions involving the EMA12, MACD, and RSI for generating sell signals. Overall, the FRAYSTRAT strategy combines multiple TA indicators to identify potential buying and selling opportunities in the market.
The conditions for a buy signal include the RSI crossing above a specified threshold, the TEMA being below the Bollinger Bands middle band, the TEMA showing an upward trend, the TEMA being below the EMA7, and the volume being greater than 0.
There are additional conditions involving the EMA12, MACD, and RSI for generating buy signals.
populate_sell_trend: This function populates the sell signal for the DataFrame based on the TA indicators. The conditions for a sell signal include the RSI crossing above a specified threshold, the TEMA being above the Bollinger Bands middle band, the TEMA showing a downward trend, and the volume being greater than 0. There are additional conditions involving the EMA12, MACD, and RSI for generating sell signals. Overall, the FRAYSTRAT strategy combines multiple TA indicators to identify potential buying and selling opportunities in the market.
startup_candle_count : 20 rsi: -0.674% bb_lowerband: -0.006% bb_middleband: -0.006% bb_upperband: -0.005% bb_percent: 94.494% bb_width: 0.549% ema7: 0.003% ema12: -0.008% sar: 0.471%
stoploss: -0.1 timeframe: 15m hash(sha256): d3196d39dc18d1c415ba602ac0d5987b8055096de757c6fa49a596b431b5fdd0 indicators: ema30 upper htsine tema asks close mfi bb_lowerband bb_percent macdhist fastk ema12 htleadsine leadsine volume fastd best_ask sar bids macdsignal mid ema100 bb_width macd ema7 best_bid adx lower bb_middleband rsi bb_upperband sine
Similar Strategies: (based on used indicators)
Strategy: SmithHoeckx, Similarity Score: 87.88%
Strategy: default, Similarity Score: 87.88%
Strategy: Machete, Similarity Score: 84.85%
Strategy: MeoMeo99, Similarity Score: 84.85%
Strategy: MrFutu, Similarity Score: 84.85%
Strategy: STRATEGY_DEFAULT, Similarity Score: 84.85%
Strategy: Sar, Similarity Score: 84.85%
Strategy: TEMA, Similarity Score: 84.85%
Strategy: TrainDeepQStrategy, Similarity Score: 84.85%
Strategy: bonafe, Similarity Score: 84.85%
Strategy: sample_strategy_151, Similarity Score: 84.85%
Strategy: sample_strategy_168, Similarity Score: 84.85%
Strategy: sample_strategy_170, Similarity Score: 84.85%
Strategy: sample_strategy_182, Similarity Score: 84.85%
Strategy: sample_strategy_193, Similarity Score: 84.85%
Strategy: sample_strategy_2, Similarity Score: 84.85%
Strategy: sample_strategy_20, Similarity Score: 84.85%
Strategy: sample_strategy_215, Similarity Score: 84.85%
Strategy: sample_strategy_47, Similarity Score: 84.85%
Strategy: sample_strategy_56, Similarity Score: 84.85%
Strategy: sample_strategy_701, Similarity Score: 84.85%
Strategy: sample_strategy_902, Similarity Score: 84.85%
Strategy: winner, Similarity Score: 84.85%
Strategy: winner2, Similarity Score: 84.85%
last change: 2023-06-27 10:30:43