The ScalpingCCI strategy is designed to generate multiple potential buy signals and make small profits on each trade. It is recommended to have at least 60 parallel trades at any time to cover unavoidable losses. The strategy focuses on selling based on Return on Investment (ROI).
Here are the key components of the strategy: Minimal ROI: The strategy sets specific target ROIs for different time intervals.
The minimal_roi attribute specifies the minimum ROI for each interval.
Stoploss: The strategy sets an optimal stoploss value, which is the maximum acceptable loss percentage for a trade. In this case, the stoploss is set at -0.04, meaning a 4% loss would trigger a sell signal. Ticker interval: The strategy defines the optimal ticker interval, which determines the duration between each data point. Smaller intervals are preferred for better accuracy. In this case, the interval is set to 15 minutes. Indicators: The strategy uses several technical indicators to make buying and selling decisions. Some of the indicators used include: Simple Moving Average (SMA): Calculates the average price over a specified period. The strategy uses a 20-period SMA. Moving Average Convergence Divergence (MACD): Calculates the difference between short-term and long-term moving averages to identify trend reversals. The strategy uses MACD and its signal line. Daily Pivot and BC: Calculates pivot points and BC (balance point) values based on high, low, and close prices. These values are used in buy decision criteria. Buy Signal: The strategy generates a buy signal when certain conditions are met, including the price being above the SMA, MACD crossing above the signal line, price being above the daily pivot and BC, and price being above the TC (derived from pivot and BC). Additional conditions related to historical price data are also checked. Sell Signal: The strategy generates a sell signal when the price crosses below a certain threshold compared to the daily high or when the MACD crosses below the signal line. By backtesting this strategy on historical data, you can evaluate its performance and determine its effectiveness in generating profits.
Here are the key components of the strategy: Minimal ROI: The strategy sets specific target ROIs for different time intervals.
The minimal_roi attribute specifies the minimum ROI for each interval.
Stoploss: The strategy sets an optimal stoploss value, which is the maximum acceptable loss percentage for a trade. In this case, the stoploss is set at -0.04, meaning a 4% loss would trigger a sell signal. Ticker interval: The strategy defines the optimal ticker interval, which determines the duration between each data point. Smaller intervals are preferred for better accuracy. In this case, the interval is set to 15 minutes. Indicators: The strategy uses several technical indicators to make buying and selling decisions. Some of the indicators used include: Simple Moving Average (SMA): Calculates the average price over a specified period. The strategy uses a 20-period SMA. Moving Average Convergence Divergence (MACD): Calculates the difference between short-term and long-term moving averages to identify trend reversals. The strategy uses MACD and its signal line. Daily Pivot and BC: Calculates pivot points and BC (balance point) values based on high, low, and close prices. These values are used in buy decision criteria. Buy Signal: The strategy generates a buy signal when certain conditions are met, including the price being above the SMA, MACD crossing above the signal line, price being above the daily pivot and BC, and price being above the TC (derived from pivot and BC). Additional conditions related to historical price data are also checked. Sell Signal: The strategy generates a sell signal when the price crosses below a certain threshold compared to the daily high or when the MACD crosses below the signal line. By backtesting this strategy on historical data, you can evaluate its performance and determine its effectiveness in generating profits.
stoploss: -0.04 timeframe: 15 hash(sha256): 7ce6ac28b5d302c28dc6c443e550b2752cb88ce9ff89e7f25f26b18bbdce2b8a indicators: bc _dailytc low_daily close tc _dailypivot pivot high_daily macdhist sma _dailyhigh _dailylow _daily _dailylow_daily open high macdsignal macd low _dailybc _dailyhigh_daily _dailyclose
Similar Strategies: (based on used indicators)
Strategy: ScalpingCCI, Similarity Score: 95.65%
last change: 2024-04-29 00:38:42