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The MultiMA_TSL3 strategy is a trading strategy that uses multiple indicators to generate buy and sell signals. Here are the key components of the strategy:
Indicators:
EWO (Elliott Wave Oscillator): Calculates the EWO values using the specified parameters. RSI (Relative Strength Index): Computes the RSI values for different time periods.
Heikin Ashi: Applies Heikin Ashi transformation to the price data.
PM and PMX: Calculates the pmax values based on Heikin Ashi data.
Source: Computes the average of high, low, open, and close prices. PMAX Threshold: Calculates the exponential moving average (EMA) of the source values. Data Processing: HA (Heikin Ashi): Further processes the data using the Heikin Ashi transformation. Live Data Handling: If the strategy is running in live or dry run mode, it checks the availability of live data for a specific number of candles. Custom Information: Maintains custom information for each trading pair. Buy Trend: Calculates various buy offsets using different indicators such as EMA, TRIMA, ZEMA, and HMA. Evaluates multiple conditions for potential buy signals, including price and indicator crossovers, RSI values, and volume checks. Generates buy tags and assigns buy signals to the corresponding rows in the dataframe. Sell Trend: Conditions for sell signals are not provided in the code snippet. Overall, the MultiMA_TSL3 strategy combines different indicators and conditions to identify potential buy signals in the market. The strategy can be further enhanced by adding sell conditions to determine when to exit a position.
Heikin Ashi: Applies Heikin Ashi transformation to the price data.
PM and PMX: Calculates the pmax values based on Heikin Ashi data.
Source: Computes the average of high, low, open, and close prices. PMAX Threshold: Calculates the exponential moving average (EMA) of the source values. Data Processing: HA (Heikin Ashi): Further processes the data using the Heikin Ashi transformation. Live Data Handling: If the strategy is running in live or dry run mode, it checks the availability of live data for a specific number of candles. Custom Information: Maintains custom information for each trading pair. Buy Trend: Calculates various buy offsets using different indicators such as EMA, TRIMA, ZEMA, and HMA. Evaluates multiple conditions for potential buy signals, including price and indicator crossovers, RSI values, and volume checks. Generates buy tags and assigns buy signals to the corresponding rows in the dataframe. Sell Trend: Conditions for sell signals are not provided in the code snippet. Overall, the MultiMA_TSL3 strategy combines different indicators and conditions to identify potential buy signals in the market. The strategy can be further enhanced by adding sell conditions to determine when to exit a position.
stoploss: -0.25 timeframe: 5m hash(sha256): 2133bc93beade09e013a6eae2d9c96b7f6f92dbebff458e70737d230a85b2eba
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last change: 2022-07-30 08:25:00