The DNSTraderBTCMACD strategy is designed for backtesting trading strategies on a website. Here is a short description of what the strategy does:
The strategy uses the MACD indicator for BTC/USDT pair and checks if the current pair being traded is ADA/USDT or ETH/USDT. It initializes trade managers and notification settings for each pair.
It calculates various indicators based on the provided data, such as bull and bear engulf lines, RSI thresholds, and ongoing candle information.
For each pair, it checks if there are any active trades.
If there are no open trades, it evaluates the criteria to enter a trade based on the current market conditions, such as the price, closest bull engulf lines, and RSI thresholds. If the criteria are met, it triggers a buy signal and notifies the user. If there is an open trade, it checks for stop-loss and profit-taking conditions. If the stop-loss condition is met, it triggers a sell signal and notifies the user. Similarly, if the profit-taking condition is met, it also triggers a sell signal and notifies the user. Additionally, it checks for a bear zone condition and triggers a sell signal if the condition is met. The strategy also includes functions to calculate various indicators, such as calculating the distance percentage, finding the closest bull and bear engulf lines, and determining whether a candle is a bull or bear engulf candle. Overall, the strategy aims to backtest trading strategies based on the MACD indicator and specific market conditions for different trading pairs, while providing notifications for buy, stop-loss, and profit events. Please note that this is a brief summary of the strategy, and further details and implementation may be available in the complete code.
It calculates various indicators based on the provided data, such as bull and bear engulf lines, RSI thresholds, and ongoing candle information.
For each pair, it checks if there are any active trades.
If there are no open trades, it evaluates the criteria to enter a trade based on the current market conditions, such as the price, closest bull engulf lines, and RSI thresholds. If the criteria are met, it triggers a buy signal and notifies the user. If there is an open trade, it checks for stop-loss and profit-taking conditions. If the stop-loss condition is met, it triggers a sell signal and notifies the user. Similarly, if the profit-taking condition is met, it also triggers a sell signal and notifies the user. Additionally, it checks for a bear zone condition and triggers a sell signal if the condition is met. The strategy also includes functions to calculate various indicators, such as calculating the distance percentage, finding the closest bull and bear engulf lines, and determining whether a candle is a bull or bear engulf candle. Overall, the strategy aims to backtest trading strategies based on the MACD indicator and specific market conditions for different trading pairs, while providing notifications for buy, stop-loss, and profit events. Please note that this is a brief summary of the strategy, and further details and implementation may be available in the complete code.
stoploss: -0.99 timeframe: 5m hash(sha256): 5566b1dbac83bf98f5d88ea16413ff8ef83cee2f435785771964a08add70df50 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 05:17:59