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Version 1.0 of the strategy, called "kcx_strat_prod," aims to backtest and evaluate trading strategies. The strategy utilizes various technical indicators to make buy and sell decisions. Here are the important components of the strategy:
Timeframe: The strategy operates on daily candlestick data.
Stoploss: The stoploss parameter is set to -0.2, indicating a 20% stop loss.
Minimal ROI: The minimal_roi parameter is set to {"0": 0.6}, meaning a minimum return on investment of 60% is expected.
Order types: The strategy uses different order types, including limit orders for buying and selling, market orders for emergency sell and stop loss, and stop loss on the exchange. Indicators: The strategy populates several indicators on the input dataframe: SMA (Simple Moving Average) with a time period of 20. MACD (Moving Average Convergence Divergence) with parameters for fast and slow periods, as well as signal period. RSI (Relative Strength Index) with a time period of 7. Slow Stochastic with parameters for fastk period, slowk period, slowk matype, slowd period, and slowd matype. Keltner Channel with a window of 23 and ATRs (Average True Ranges) of 1. Buy Trend: The strategy identifies buy opportunities when the closing price is above the Keltner Channel's upper band and the MACD histogram is positive. Sell Trend: The strategy identifies sell opportunities when the closing price is below the Keltner Channel's middle band or when the MACD histogram is negative and the Slow Stochastic's slowd value is below 50. This version of the strategy focuses on using these indicators and conditions to determine buy and sell signals.
Stoploss: The stoploss parameter is set to -0.2, indicating a 20% stop loss.
Minimal ROI: The minimal_roi parameter is set to {"0": 0.6}, meaning a minimum return on investment of 60% is expected.
Order types: The strategy uses different order types, including limit orders for buying and selling, market orders for emergency sell and stop loss, and stop loss on the exchange. Indicators: The strategy populates several indicators on the input dataframe: SMA (Simple Moving Average) with a time period of 20. MACD (Moving Average Convergence Divergence) with parameters for fast and slow periods, as well as signal period. RSI (Relative Strength Index) with a time period of 7. Slow Stochastic with parameters for fastk period, slowk period, slowk matype, slowd period, and slowd matype. Keltner Channel with a window of 23 and ATRs (Average True Ranges) of 1. Buy Trend: The strategy identifies buy opportunities when the closing price is above the Keltner Channel's upper band and the MACD histogram is positive. Sell Trend: The strategy identifies sell opportunities when the closing price is below the Keltner Channel's middle band or when the MACD histogram is negative and the Slow Stochastic's slowd value is below 50. This version of the strategy focuses on using these indicators and conditions to determine buy and sell signals.
stoploss: -0.2 timeframe: 5m hash(sha256): 279870e7ca01fd361f362ddfa1c5754a42b92af4c1b3889b2c8100e70618b88e
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last change: 2022-07-10 23:52:43