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The FrostAuraRandomStrategy is a trading strategy that uses random numbers to generate buy and sell signals. It is optimized for a specific time period and interval. Key Features:
Strategy Interface Version: 2
Minimal ROI (Return on Investment) defined for the strategy:
0% profit at the beginning
0.347% profit at some point
0.106% profit after 450 units
0.032% profit after 1169 units
No profit after 1624 units
Stoploss: -0.231 (designed to limit losses)
Trailing Stoploss: Not enabled
Timeframe: 1 hour
Process Only New Candles: False (indicator calculation for all candles)
Use Sell Signal: True
Sell Profit Only: False (sell signal triggered regardless of profit)
Ignore ROI (Return on Investment) if Buy Signal: False
Startup Candle Count: 30 (number of candles required before producing signals)
Order Types:
Buy: Market order
Sell: Market order
Stoploss: Market order
Stoploss on Exchange: Not enabled
Order Time in Force:
Buy: Good 'til canceled (gtc)
Sell: Good 'til canceled (gtc)
Plot Configuration:
Main Plot:
tema (Triple Exponential Moving Average)
sar (Stop and Reverse)
Subplots:
MACD (Moving Average Convergence Divergence):
macd (MACD line)
macdsignal (Signal line)
RSI (Relative Strength Index):
rsi (RSI line)
Indicators:
Random Number: A randomly generated integer between 0 and 100 assigned to each candle.
Buy Trend: Buy Prediction Delta Direction: Categorical parameter ("<" or ">") to determine the direction of the buy prediction.
Buy Probability: Integer parameter (0-100) representing the probability threshold for generating a buy signal based on the random number.
Buy Signal Generation: If the random number is below the buy probability threshold (if buy prediction delta direction is "<") or above the threshold (if buy prediction delta direction is ">"), a buy signal (value of 1) is assigned to the 'buy' column of the dataframe. Sell Trend: Sell Prediction Delta Direction: Categorical parameter ("<" or ">") to determine the direction of the sell prediction. Sell Probability: Integer parameter (0-100) representing the probability threshold for generating a sell signal based on the random number. Sell Signal Generation: If the random number is below the sell probability threshold (if sell prediction delta direction is "<") or above the threshold (if sell prediction delta direction is ">"), a sell signal (value of 1) is assigned to the 'sell' column of the dataframe. Overall, the FrostAuraRandomStrategy uses random numbers and probability thresholds to generate buy and sell signals for trading. The strategy is optimized for a specific profit range, stoploss value, timeframe, and indicator configuration.
Buy Trend: Buy Prediction Delta Direction: Categorical parameter ("<" or ">") to determine the direction of the buy prediction.
Buy Probability: Integer parameter (0-100) representing the probability threshold for generating a buy signal based on the random number.
Buy Signal Generation: If the random number is below the buy probability threshold (if buy prediction delta direction is "<") or above the threshold (if buy prediction delta direction is ">"), a buy signal (value of 1) is assigned to the 'buy' column of the dataframe. Sell Trend: Sell Prediction Delta Direction: Categorical parameter ("<" or ">") to determine the direction of the sell prediction. Sell Probability: Integer parameter (0-100) representing the probability threshold for generating a sell signal based on the random number. Sell Signal Generation: If the random number is below the sell probability threshold (if sell prediction delta direction is "<") or above the threshold (if sell prediction delta direction is ">"), a sell signal (value of 1) is assigned to the 'sell' column of the dataframe. Overall, the FrostAuraRandomStrategy uses random numbers and probability thresholds to generate buy and sell signals for trading. The strategy is optimized for a specific profit range, stoploss value, timeframe, and indicator configuration.
Biased Indicators
random_numberBiased Entry Signals:
17Biased Exit Signals:
15
stoploss: -0.231 timeframe: 1h hash(sha256): 648e837f4bd1c197ec40784458a0c0762f849cab7d528b5ba84b4881e74dcc43 indicators: random_number
No similar strategies found. (based on used indicators)
last change: 2023-06-28 05:28:22