The DNSTraderBTCRSI strategy is designed for backtesting trading strategies on a website. Here's a short description of what the strategy does:
The strategy calculates various indicators and performs trading actions based on specific conditions. It inherits from the IStrategy class.
The populate_indicators method is responsible for populating the indicators used in the strategy.
Here are the important parts of the strategy: It checks the trading pair and retrieves BTC/USDT candle data if the pair is ADA/USDT or ETH/USDT.
It calculates the RSI (Relative Strength Index) for BTC/USDT and stores it. It initializes a TradeManager and notification settings for each trading pair. It prepares the dataframe for analysis by selecting the required number of bars and setting some thresholds. It calculates various lines and values related to engulf patterns, RSI, and other criteria. It checks conditions for buying and selling based on the calculated values and the state of ongoing trades. It sends notifications for buying, stop loss, and profit events. It updates the dataframe with the buy and sell criteria. It returns the updated dataframe. The strategy also includes several helper methods for calculating specific values and retrieving closest line values. Please note that this description provides an overview and may not capture all the details and intricacies of the strategy.
The populate_indicators method is responsible for populating the indicators used in the strategy.
Here are the important parts of the strategy: It checks the trading pair and retrieves BTC/USDT candle data if the pair is ADA/USDT or ETH/USDT.
It calculates the RSI (Relative Strength Index) for BTC/USDT and stores it. It initializes a TradeManager and notification settings for each trading pair. It prepares the dataframe for analysis by selecting the required number of bars and setting some thresholds. It calculates various lines and values related to engulf patterns, RSI, and other criteria. It checks conditions for buying and selling based on the calculated values and the state of ongoing trades. It sends notifications for buying, stop loss, and profit events. It updates the dataframe with the buy and sell criteria. It returns the updated dataframe. The strategy also includes several helper methods for calculating specific values and retrieving closest line values. Please note that this description provides an overview and may not capture all the details and intricacies of the strategy.
stoploss: -0.99 timeframe: 5m hash(sha256): 6fa3b8c1ee47037f38bdb437faa7fa1e1300914b1901d20d2f176a144d811423 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 14:42:57