The RSIDropDNSTraderBTCRSI strategy is designed to backtest trading performance using the RSI (Relative Strength Index) indicator. Here's a breakdown of what the strategy does:
The strategy is implemented as a class named RSIDropDNSTraderBTCRSI, which inherits from the IStrategy class. The strategy defines a method called populate_indicators, which takes a DataFrame of market data and additional metadata as input and returns an updated DataFrame with calculated indicators.
Within the populate_indicators method, the strategy performs the following steps: It checks the trading pair and retrieves BTC/USDT candle data for RSI calculation if the pair is ADA/USDT or ETH/USDT.
It initializes trade managers and notification settings for each trading pair.
It selects a subset of the input dataframe based on the maximum number of bars to consider. It calculates various indicators such as bull and bear engulf lines, RSI values, and more. It checks for buy and sell criteria based on specific conditions and thresholds, including RSI values and price levels. It triggers notifications for buy, stop loss, and profit events using the notify-send command and prints URLs for trading view charts. It updates the buy and sell criteria flags in the dataframe. The strategy also includes helper functions for calculating certain indicators and determining buy/sell conditions based on specific rules. The strategy utilizes information from previous candles and ongoing market data to make trading decisions. The buy and sell criteria are based on factors such as engulf lines, RSI thresholds, and BTC RSI values. The strategy manages trades using trade managers associated with each trading pair. The strategy considers stop loss and profit targets for managing trades. The strategy can be run in live or dry run mode. Overall, the RSIDropDNSTraderBTCRSI strategy aims to generate trading signals based on the RSI indicator and specific conditions related to price movements, engulf lines, and RSI thresholds. It incorporates trade management and notification functionalities for tracking trade performance.
Within the populate_indicators method, the strategy performs the following steps: It checks the trading pair and retrieves BTC/USDT candle data for RSI calculation if the pair is ADA/USDT or ETH/USDT.
It initializes trade managers and notification settings for each trading pair.
It selects a subset of the input dataframe based on the maximum number of bars to consider. It calculates various indicators such as bull and bear engulf lines, RSI values, and more. It checks for buy and sell criteria based on specific conditions and thresholds, including RSI values and price levels. It triggers notifications for buy, stop loss, and profit events using the notify-send command and prints URLs for trading view charts. It updates the buy and sell criteria flags in the dataframe. The strategy also includes helper functions for calculating certain indicators and determining buy/sell conditions based on specific rules. The strategy utilizes information from previous candles and ongoing market data to make trading decisions. The buy and sell criteria are based on factors such as engulf lines, RSI thresholds, and BTC RSI values. The strategy manages trades using trade managers associated with each trading pair. The strategy considers stop loss and profit targets for managing trades. The strategy can be run in live or dry run mode. Overall, the RSIDropDNSTraderBTCRSI strategy aims to generate trading signals based on the RSI indicator and specific conditions related to price movements, engulf lines, and RSI thresholds. It incorporates trade management and notification functionalities for tracking trade performance.
stoploss: -0.99 timeframe: 5m hash(sha256): e9b3023b27358cd0410e21cbfd3aa7f66d489b8e1dd2084eb527644dce1d32fd indicators: notify_profit max_high_to_end notify_buy next_4_candles_rsi_change altcoins_restart_alert_percentage buy_criteria notify_stop_loss close sell_criteria 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: 2024-04-28 05:10:15