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The SMA_BBRSI strategy is a trading strategy that combines moving averages (SMA), Bollinger Bands (BB), and the Relative Strength Index (RSI). Here is a short description of what the strategy does:
Populate Indicators: This step calculates various indicators used in the strategy, including RSI, EMA (Exponential Moving Average), STDDEV (Standard Deviation), ATR (Average True Range), CTI (Cumulative Tick Index), CCI (Commodity Channel Index), and EWO (Elliott Wave Oscillator). Populate Buy Trend: This step defines the conditions for entering a buy trade.
The conditions include: The closing price is below a specific moving average multiplied by a low offset.
The EWO is above a certain threshold.
The RSI is below a specified value. The volume is greater than zero. Populate Sell Trend: This step defines the conditions for exiting a sell trade. The conditions include: The closing price is above a specific moving average multiplied by a high offset. The RSI is above a certain threshold or above the moving average plus a deviation. The CTI is True (indicating a specific condition). The price crosses below a calculated ATR high. The volume is greater than zero. The strategy uses these conditions to generate buy and sell signals based on the indicators and thresholds defined. It can be used for backtesting trading strategies on historical data to evaluate their performance.
The conditions include: The closing price is below a specific moving average multiplied by a low offset.
The EWO is above a certain threshold.
The RSI is below a specified value. The volume is greater than zero. Populate Sell Trend: This step defines the conditions for exiting a sell trade. The conditions include: The closing price is above a specific moving average multiplied by a high offset. The RSI is above a certain threshold or above the moving average plus a deviation. The CTI is True (indicating a specific condition). The price crosses below a calculated ATR high. The volume is greater than zero. The strategy uses these conditions to generate buy and sell signals based on the indicators and thresholds defined. It can be used for backtesting trading strategies on historical data to evaluate their performance.
stoploss: -0.5 timeframe: 5m hash(sha256): 22f3ee2ada73a88068c05b1764469bc4cdca2bcaf210f33ff6b7f631c711a743 indicators: rsi_buy EWO ewo_high ema_atr rsi_high close ewo_low src ma_sell_val dev_for_ma ma_buy_val volume rsi_4 low_offset ewo_high_bb high_offset zema_30 cci_fast cci_slow base_nb_candles_buy high atr_high basis_for_ma moderi_96 for_ma_length for_ma_length_sell base_nb_candles_sell cti pump_strength for_sigma atr rsi for_sigma_sell runmode low zema_200
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last change: 2022-07-29 00:54:05