The RSIDip strategy is a trading strategy that uses various indicators to identify buying and selling opportunities in financial markets. Here is a breakdown of what the strategy does:
In the populate_indicators method, the strategy calculates and populates several indicators, including exponential moving averages (EMA), rolling trends, average true range (ATR), standard deviation, relative strength index (RSI), average directional index (ADX), and other custom columns. The populate_buy_trend method is responsible for determining the buy signals based on certain conditions.
It checks if the 50-day EMA is above the 200-day EMA, RSI difference is greater than a certain threshold, the number of candles since the crossover is within a limit, the number of buy signals in the current group is within a limit, and the volume is positive.
The populate_sell_trend method identifies the sell signals by checking if the 50-day EMA crosses below the 200-day EMA and the volume is positive.
The process_trades method is called to process each trade made by the strategy. It updates the tracking data for the traded pair, including the current rate, current profit, stop-loss rate, and other relevant information. The trade_entry method is responsible for monitoring and recording trade entry information, such as the trade type, amount, rate, time-in-force, and current time. The trade_exit method handles trade exit operations. It records the trade exit details, including the sell reason, amount, rate, time-in-force, and current time. Overall, the RSIDip strategy combines multiple indicators to generate buy and sell signals based on specific conditions. It tracks trades, manages stop-loss rates, and provides functionality for trade entry and exit.
It checks if the 50-day EMA is above the 200-day EMA, RSI difference is greater than a certain threshold, the number of candles since the crossover is within a limit, the number of buy signals in the current group is within a limit, and the volume is positive.
The populate_sell_trend method identifies the sell signals by checking if the 50-day EMA crosses below the 200-day EMA and the volume is positive.
The process_trades method is called to process each trade made by the strategy. It updates the tracking data for the traded pair, including the current rate, current profit, stop-loss rate, and other relevant information. The trade_entry method is responsible for monitoring and recording trade entry information, such as the trade type, amount, rate, time-in-force, and current time. The trade_exit method handles trade exit operations. It records the trade exit details, including the sell reason, amount, rate, time-in-force, and current time. Overall, the RSIDip strategy combines multiple indicators to generate buy and sell signals based on specific conditions. It tracks trades, manages stop-loss rates, and provides functionality for trade entry and exit.
stoploss: -1 timeframe: 1h hash(sha256): dbd483039cb80557deb2db4f883ab3086820f1d48b99b31a3e42645515d8587d indicators: short_rolling_high_max short_rolling_low_min atr_target ema_short_window ema_buy_below close crossedOverGroupBuyCount short_high_low_middle_point reduced_atr_target_alpha crossedOverGroup rsiDif volume trend reduced_atr_target_beta date rsiDiff stddev plus_di stoploss_for_candle buyTEST short_high_low_buy_below openclose rownum ema200 atr ema_std_dev_mean buy_below adx std_dev_mean rsisma minus_di close_mean rsi trendLong plusstddev crossedOverGroupCandleCount ema50
No similar strategies found. (based on used indicators)
last change: 2024-04-29 21:05:12