The DNSAlarmWeek strategy is a trading strategy that involves identifying bullish and bearish engulfing patterns on weekly candlestick charts. Here is a breakdown of its key components:
populate_indicators: This function populates the indicators used in the strategy. It calculates the previous range, bull engulfing green line, and bear engulfing green line based on the price data.
calculate_bull_engulf_green_line: This function determines the price level for a potential bullish engulfing pattern.
calculate_bear_engulf_green_line: This function determines the price level for a potential bearish engulfing pattern.
ticker: Retrieves the ticker data for the specified trading pair. is_price_in_alert_range: Checks if the current price is within the alert range specified for the trading pair. is_price_in_restart_alert_range: Checks if the current price is within the restart alert range specified for the trading pair. build_alert_message: Constructs an alert message with information about the trading pair, price level, and timestamp. populate_buy_trend: Identifies buy signals in the dataframe and marks them with a value of 1. populate_sell_trend: Identifies sell signals in the dataframe and marks them with a value of 1. The strategy scans the weekly candlestick data for engulfing patterns and emits alarms when the current price is within the specified alert range. It also checks for restart alerts and updates the alarm status accordingly. Additionally, it generates buy and sell signals based on specific conditions. Please note that the provided code snippet is incomplete, and there may be additional functions or dependencies not included in the description.
calculate_bull_engulf_green_line: This function determines the price level for a potential bullish engulfing pattern.
calculate_bear_engulf_green_line: This function determines the price level for a potential bearish engulfing pattern.
ticker: Retrieves the ticker data for the specified trading pair. is_price_in_alert_range: Checks if the current price is within the alert range specified for the trading pair. is_price_in_restart_alert_range: Checks if the current price is within the restart alert range specified for the trading pair. build_alert_message: Constructs an alert message with information about the trading pair, price level, and timestamp. populate_buy_trend: Identifies buy signals in the dataframe and marks them with a value of 1. populate_sell_trend: Identifies sell signals in the dataframe and marks them with a value of 1. The strategy scans the weekly candlestick data for engulfing patterns and emits alarms when the current price is within the specified alert range. It also checks for restart alerts and updates the alarm status accordingly. Additionally, it generates buy and sell signals based on specific conditions. Please note that the provided code snippet is incomplete, and there may be additional functions or dependencies not included in the description.
stoploss: -0.99 timeframe: 1w hash(sha256): feb96d0869ee1c67a5f7df6d548caefb7707139e1bdb13d21ebb06384696ed93 indicators: high max_high_to_end altcoins_restart_alert_percentage close last open low min_low_to_end altcoins_alert_percentage btc_eth_alert_percentage btc_eth_restart_alert_percentage
No similar strategies found. (based on used indicators)
last change: 2024-04-29 21:08:45