The RSIDropDNSTrader strategy is a trading strategy that uses various indicators to make buying and selling decisions in the financial markets. Here's a short description of what the strategy does:
The strategy, implemented as a class named RSIDropDNSTrader, extends the IStrategy class. It contains a method called populate_indicators, which takes a dataframe of financial data and additional metadata as input.
Inside the populate_indicators method, the strategy performs the following steps: It retrieves the trading pair from the metadata and initializes a TradeManager and a notification dictionary for the pair if they don't exist already.
It selects a subset of the dataframe based on the maximum number of bars back.
If the "notify_buy" flag is set in the notification dictionary, it sends a notification indicating that the pair was bought. Similarly, if the "notify_stop_loss" or "notify_profit" flags are set, it sends notifications for stop loss and profit events, respectively. If the strategy is running in live or dry run mode, it appends the ongoing candle data to the dataframe. It calculates various indicators such as bull and bear engulf lines, and determines the buy and sell criteria based on these indicators, ongoing prices, and predefined thresholds. If the trade manager doesn't have an open trade and the buy criteria are met, it opens a new trade and sets the stop loss price. If the ongoing close price triggers the stop loss or profit conditions, or if the sell criteria based on the bear zone are met, it closes the trade. The method returns the updated dataframe with additional columns indicating the buy and sell criteria. The strategy also includes helper methods for calculating the bull and bear engulf lines, finding the closest bull and bear green and red lines, and determining if the ongoing high price is above the closest bear green line. Note: The provided code snippet is incomplete and might require additional context or dependencies to fully understand its functionality.
Inside the populate_indicators method, the strategy performs the following steps: It retrieves the trading pair from the metadata and initializes a TradeManager and a notification dictionary for the pair if they don't exist already.
It selects a subset of the dataframe based on the maximum number of bars back.
If the "notify_buy" flag is set in the notification dictionary, it sends a notification indicating that the pair was bought. Similarly, if the "notify_stop_loss" or "notify_profit" flags are set, it sends notifications for stop loss and profit events, respectively. If the strategy is running in live or dry run mode, it appends the ongoing candle data to the dataframe. It calculates various indicators such as bull and bear engulf lines, and determines the buy and sell criteria based on these indicators, ongoing prices, and predefined thresholds. If the trade manager doesn't have an open trade and the buy criteria are met, it opens a new trade and sets the stop loss price. If the ongoing close price triggers the stop loss or profit conditions, or if the sell criteria based on the bear zone are met, it closes the trade. The method returns the updated dataframe with additional columns indicating the buy and sell criteria. The strategy also includes helper methods for calculating the bull and bear engulf lines, finding the closest bull and bear green and red lines, and determining if the ongoing high price is above the closest bear green line. Note: The provided code snippet is incomplete and might require additional context or dependencies to fully understand its functionality.
stoploss: -0.99 timeframe: 5m hash(sha256): fa2a5261147d536eb5bcc10b0773f5e38c843e5f6cc0385c35689d05b59a0dcb indicators: notify_profit high 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
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last change: 2024-04-29 19:50:16