Not Enough Data to display!
Average Overall
| Not Enough Data! / Avg statistics not populated yet. |
|---|
The SampleStrategy is a trading strategy that utilizes various technical indicators to generate buy and sell signals. Here's a breakdown of what the strategy does:
populate_indicators: This function takes a DataFrame containing exchange data and adds several technical indicators to it. The indicators used in this strategy are:
ADX (Average Directional Index)
RSI (Relative Strength Index)
Stochastic Fast
MACD (Moving Average Convergence Divergence)
MFI (Money Flow Index)
Bollinger Bands
SAR (Stop and Reverse)
TEMA (Triple Exponential Moving Average)
Hilbert Transform - Sine Wave
populate_buy_trend: This function populates the buy signal for the DataFrame based on the values of the indicators.
The conditions for a buy signal in this strategy are: RSI crossing above 30 TEMA (Triple Exponential Moving Average) below the middle Bollinger Band TEMA is rising Volume is greater than 0 populate_sell_trend: This function populates the sell signal for the DataFrame based on the values of the indicators.
The conditions for a sell signal in this strategy are: RSI crossing above 70 TEMA above the middle Bollinger Band TEMA is falling Volume is greater than 0 The strategy uses these indicators and signal conditions to determine when to buy or sell in a trading scenario.
The conditions for a buy signal in this strategy are: RSI crossing above 30 TEMA (Triple Exponential Moving Average) below the middle Bollinger Band TEMA is rising Volume is greater than 0 populate_sell_trend: This function populates the sell signal for the DataFrame based on the values of the indicators.
The conditions for a sell signal in this strategy are: RSI crossing above 70 TEMA above the middle Bollinger Band TEMA is falling Volume is greater than 0 The strategy uses these indicators and signal conditions to determine when to buy or sell in a trading scenario.
startup_candle_count : 30 bb_lowerband: -0.030% bb_middleband: -0.042% bb_upperband: -0.054% bb_percent: 24.444% bb_width: -5.425% sar: -0.073%
stoploss: -0.1 timeframe: 5m hash(sha256): 3c6909563663ca6d09eae65e9a871f913bfddcf6b1a15ebbd32c2be7254e98e6 indicators: upper htsine tema asks close mfi bb_lowerband bb_percent macdhist fastk htleadsine leadsine volume fastd best_ask sar bids macdsignal mid bb_width macd best_bid adx lower bb_middleband rsi bb_upperband sine
Similar Strategies: (based on used indicators)
Strategy: AlligatorV4, Similarity Score: 96.55%
Strategy: FRAYSTRAT, Similarity Score: 96.55%
Strategy: Machete, Similarity Score: 96.55%
Strategy: MeoMeo99, Similarity Score: 96.55%
Strategy: MrFutu, Similarity Score: 96.55%
Strategy: STRATEGY_DEFAULT, Similarity Score: 96.55%
Strategy: Sar, Similarity Score: 96.55%
Strategy: SmithHoeckx, Similarity Score: 96.55%
Strategy: TEMA, Similarity Score: 96.55%
Strategy: TrainDeepQStrategy, Similarity Score: 96.55%
Strategy: bonafe, Similarity Score: 96.55%
Strategy: default, Similarity Score: 96.55%
Strategy: matteo1905, Similarity Score: 96.55%
Strategy: sample_strategy_151, Similarity Score: 96.55%
Strategy: sample_strategy_168, Similarity Score: 96.55%
Strategy: sample_strategy_170, Similarity Score: 96.55%
Strategy: sample_strategy_193, Similarity Score: 96.55%
Strategy: sample_strategy_2, Similarity Score: 96.55%
Strategy: sample_strategy_20, Similarity Score: 96.55%
Strategy: sample_strategy_215, Similarity Score: 96.55%
Strategy: sample_strategy_47, Similarity Score: 96.55%
Strategy: sample_strategy_56, Similarity Score: 96.55%
Strategy: sample_strategy_701, Similarity Score: 96.55%
Strategy: sample_strategy_902, Similarity Score: 96.55%
Strategy: winner, Similarity Score: 96.55%
Strategy: winner2, Similarity Score: 96.55%
Strategy: sample_strategy_643, Similarity Score: 93.1%
Strategy: firesoul, Similarity Score: 89.66%
Strategy: sample_strategy_34, Similarity Score: 86.21%
Strategy: sample_strategy_487, Similarity Score: 86.21%
last change: 2023-09-23 04:11:20